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Flavonoids and Terpenoids with PTP-1B Inhibitory Properties from the Infusion of Salvia amarissima Ortega

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Molecules
Authors:
  • Facultad de QuímicaUniversidad Nacional Autónoma de México

Abstract and Figures

An infusion prepared from the aerial parts of Salvia amarissima Ortega inhibited the enzyme protein tyrosine phosphatase 1B (PTP-1B) (IC50~88 and 33 μg/mL, respectively). Phytochemical analysis of the infusion yielded amarisolide (1), 5,6,4′-trihydroxy-7,3′-dimethoxyflavone (2), 6-hydroxyluteolin (3), rutin (4), rosmarinic acid (5), isoquercitrin (6), pedalitin (7) and a new neo-clerodane type diterpenoid glucoside, named amarisolide G (8a,b). Compound 8a,b is a new natural product, and 2–6 are reported for the first time for the species. All compounds were tested for their inhibitory activity against PTP-1B; their IC50 values ranged from 62.0 to 514.2 μM. The activity was compared to that of ursolic acid (IC50 = 29.14 μM). The most active compound was pedalitin (7). Docking analysis predicted that compound 7 has higher affinity for the allosteric site of the enzyme. Gas chromatography coupled to mass spectrometry analyses of the essential oils prepared from dried and fresh materials revealed that germacrene D (15) and β-selinene (16), followed by β-caryophyllene (13) and spathulenol (17) were their major components. An ultra-high performance liquid chromatography coupled to mass spectrometry method was developed and validated to quantify amarisolide (1) in the ethyl acetate soluble fraction of the infusion of S. amarissima.
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molecules
Article
Flavonoids and Terpenoids with PTP-1B Inhibitory
Properties from the Infusion of
Salvia amarissima Ortega
Eric Salinas-Arellano 1, Araceli Pérez-Vásquez 1, Isabel Rivero-Cruz 1, Rafael Torres-Colin 2,
Martín González-Andrade 3, Manuel Rangel-Grimaldo 1and Rachel Mata 1,*
1Facultad de Química, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
ersalinass@hotmail.com (E.S.-A.); perezva@unam.mx (A.P.-V.); riveroic@unam.mx (I.R.-C.);
manuel_erg_p9@hotmail.com (M.R.-G.)
2Instituto de Biología, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
rafael.torres@ib.unam.mx
3Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
martin@bq.unam.mx
*Correspondence: rachel@unam.mx; Tel.: +52-55-56225289
Academic Editor: Raaele Capasso
Received: 17 June 2020; Accepted: 30 July 2020; Published: 1 August 2020


Abstract:
An infusion prepared from the aerial parts of Salvia amarissima Ortega inhibited the enzyme
protein tyrosine phosphatase 1B (PTP-1B) (IC
50
~88 and 33
µ
g/mL, respectively). Phytochemical
analysis of the infusion yielded amarisolide (
1
), 5,6,4
0
-trihydroxy-7,3
0
-dimethoxyflavone (
2
),
6-hydroxyluteolin (
3
), rutin (
4
), rosmarinic acid (
5
), isoquercitrin (
6
), pedalitin (
7
) and a new
neo-clerodane type diterpenoid glucoside, named amarisolide G (
8a
,
b
). Compound
8a
,
b
is a new
natural product, and
2
6
are reported for the first time for the species. All compounds were tested for
their inhibitory activity against PTP-1B; their IC
50
values ranged from 62.0 to 514.2
µ
M. The activity
was compared to that of ursolic acid (IC
50
=29.14
µ
M). The most active compound was pedalitin
(
7
). Docking analysis predicted that compound
7
has higher anity for the allosteric site of the
enzyme. Gas chromatography coupled to mass spectrometry analyses of the essential oils prepared
from dried and fresh materials revealed that germacrene D (
15
) and
β
-selinene (
16
), followed by
β
-caryophyllene (
13
) and spathulenol (
17
) were their major components. An ultra-high performance
liquid chromatography coupled to mass spectrometry method was developed and validated to
quantify amarisolide (1) in the ethyl acetate soluble fraction of the infusion of S. amarissima.
Keywords: Salvia amarissima; PTP-1B activity; amarisolide G; diabetes
1. Introduction
Type 2 diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia due to
insulin resistance, or the relative absence of the hormone. The prevalence of the disease is continuously
increasing, with approximately 463 million people living with diabetes nowadays. Mexico is one of the
countries more aected by type 2 diabetes mellitus, with more than 12 million cases. The population
sector more aected is the indigenous people owing to variations in its traditional way of life and
the eects of industrial developments [
1
]. Mexican population employs more than 300 plant species
to treat the symptoms of diabetes; in some cases, the patients combine allopathic therapies with the
botanical remedies [
2
]. These plants are an essential part of the country’s alternative medical care,
and the best testimony of their ecacy is their persistence in Mexican markets and other places for
crude or fresh drug selling. Therefore, it is crucial to analyze these plants to establish their composition,
Molecules 2020,25, 3530; doi:10.3390/molecules25153530 www.mdpi.com/journal/molecules
Molecules 2020,25, 3530 2 of 18
security, ecacy, and to develop a suitable methodology for quality control of the crude drug following
good practice guidelines.
Quality control of herbal drugs is the base for their ecacy and safety. Quality control
of herbal drugs aims to define their identity, purity and content of active principles or marker
compounds. The chemical composition of plants, and hence of their therapeutic preparations, is
variable, so standardization is necessary to guarantee comparable therapeutic eects. To prove the
constant composition of herbal preparations, there are appropriate standard analytical methods to
establish relevant criteria for uniformity. Standard analytical techniques include, among others,
high-performance liquid chromatography. For many years, the World Health Organization (WHO) has
encouraged all its country members to elaborate pharmacopeic monographs providing comprehensive
scientific information on the quality of their most commonly used medicinal plants. Following WHO
guidelines, Mexico has developed the Mexican Herbal Pharmacopeia, which contained monographs
with definitions, analytical techniques for identity and composition, as well as storage regulations of
the most widely used Mexican Herbal drugs [2,3].
Like other pharmaceutical products, herbal drugs should fulfill the basic requirements of being
ecacious and safe. To establish herbal drugs’ ecacy and safety is necessary to perform preclinical
and clinical assays, including those of the healer or medical doctor in rural communities who apply
locally produced herbal preparations. When assessing the ecacy of the plants, it is essential to
study both the traditional preparations and their components; this is because sometimes the ecacy
is attained with the combinations of compounds in the preparations, which may be acting through
synergy, network pharmacology or by targeting several nonrelated proteins involved in the pathology
of a disease. Altogether, these studies can lead to the development of standardized phytomedicines of
good quality and discover good drug candidates or molecules useful for lead optimization or even
fragment-based drug discovery [3].
Among the species highly valued in Mexico for treating diabetes is Salvia amarissima Ortega (syn.
Salvia circinata Cav.) belonging to the mint family. It is a perennial aromatic shrub native to Mexico,
listed as medicinal in the catalog of plants from the Royal Botanical Expeditions to New Spain. Like
many other New World Salvia species, S. amarissima is melittophilous (bee-pollinated). A tea brewed
from dried aerial parts of the plant is useful in Mexican folk medicine for treating diabetes, ulcers and
helminthiases [
4
,
5
]. The species is commonly regarded as “insulina” (insulin), referring to its ecacy
to improve the diabetic condition [
5
]. Previous phytochemical studies allowed the isolation of some
neo-clerodane diterpenoids, including amarisolide (1) [
6
], a few seco-clerodane diterpenoids [
6
10
] and
some flavonoids [6,8]. The traditional preparation of the plant collected in Puebla, Mexico, as well as
amarisolide (1), and some of the flavonoids showed inhibitory activity against mammal
α
-glucosidases
in vitro
and
in vivo
. The preparation and compounds were hypoglycemic and reduced the postprandial
peak significantly during an oral sucrose tolerance test in healthy mice [
8
]. Some of the seco-clerodane
diterpenoids were cytotoxic against a few human cancer cell lines, had modulatory activity in a
breast cancer cell line resistant to vinblastine and exhibited antiprotozoal action [
7
,
9
11
]. Furthermore,
the traditional preparation lack toxicity when tested according to the Lorke criteria. [
8
]. More recently,
the antinociceptive properties of an aqueous extract of the plant, 1and 7were demonstrated [12].
Based on the above considerations, this investigation aimed: (i) to determine the eect of the
traditional preparation (infusion) of the plant collected in Oaxaca and their components on the activity
of the protein tyrosine phosphatase (PTP-1B) in order to assess a new molecular target, and get a
better insight in the
in vivo
hypoglycemic eect previously demonstrated [
8
]. This target was chosen,
considering that this enzyme acts as a negative regulator of insulin and leptin dependent signal cascades
holding therapeutic utility in type 2 diabetes mellitus and obesity [
13
]. (ii) To analyze the chemical
composition of the essential oil. (iii) To set up an appropriate procedure using Ultra-High-Performance
Liquid Chromatography (UHPLC) to quantify one active or marker compound of the plant’s infusion.
The chemical composition of the plant’s essential oil and the UHPLC procedure will allow developing
Molecules 2020,25, 3530 3 of 18
a pharmacopeic monograph of S. amarissima, as they represent valuable identity and composition
tests, respectively.
2. Results and Discussion
Scheme 1summarizes the whole work.
Molecules 2020, 25, x 3 of 18
will allow developing a pharmacopeic monograph of S. amarissima, as they represent valuable
identity and composition tests, respectively.
2. Results and Discussion
Scheme 1 summarizes the whole work.
Scheme 1. Workflow diagram of this study. * Efficacy studies. ** Quality control analyses. ***
Discovery of a lead molecule.
2.1. Chemical Constituents of the Aqueous Extract
An aqueous extract (AE) from S. amarissima inhibited the PTP-1B activity significantly, with an
IC
50
value of 88.6 ± 5.4 μg/mL. Workup of AE by solvent partitioning and repeated chromatography
afforded eight compounds (Figure 1), namely amarisolide (1), 5,6,4-trihydroxy-7,3-
dimethoxyflavone (2), 6-hydroxyluteolin (3), rutin (4), rosmarinic acid (5), isoquercitrin (6), pedalitin
(7) and a neo-clerodane type diterpenoid glycoside, named amarisolide G (8a,b). Compound 8a,b, is
a new natural product characterized by conventional spectroscopic and spectrometric techniques.
The known compounds were identified by comparing their spectroscopic data with those previously
described (Figures S1-S11, Supplementary Material) [8,14,15]. Compounds 26 are reported for the
first time for this species. In addition, thin layer chromatographic (TLC) analysis revealed that these
compounds were present in the AE prepared from the fresh material.
Scheme 1.
Workflow diagram of this study. * Ecacy studies. ** Quality control analyses. *** Discovery
of a lead molecule.
2.1. Chemical Constituents of the Aqueous Extract
An aqueous extract (AE) from S. amarissima inhibited the PTP-1B activity significantly, with an
IC
50
value of 88.6
±
5.4
µ
g/mL. Workup of AE by solvent partitioning and repeated chromatography
aorded eight compounds (Figure 1), namely amarisolide (
1
), 5,6,4
0
-trihydroxy-7,3
0
-dimethoxyflavone
(
2
), 6-hydroxyluteolin (
3
), rutin (
4
), rosmarinic acid (
5
), isoquercitrin (
6
), pedalitin (
7
) and a neo-clerodane
type diterpenoid glycoside, named amarisolide G (
8a
,
b
). Compound
8a
,
b
, is a new natural product
characterized by conventional spectroscopic and spectrometric techniques. The known compounds
were identified by comparing their spectroscopic data with those previously described (Figures S1–S11,
Supplementary Material) [
8
,
14
,
15
]. Compounds
2
6
are reported for the first time for this species.
In addition, thin layer chromatographic (TLC) analysis revealed that these compounds were present in
the AE prepared from the fresh material.
Product
8a
,
b
was obtained as a white solid optically active. DART-HRMS (Direct Analysis
In Real Time-High Resolution Mass Spectrometry) established its molecular formula as C
26
H
36
O
11
.
The IR spectrum included bands for hydroxyl (3365 cm
1
) and
α
,
β
-unsaturated-
γ
-lactone (1749 cm
1
)
functionalities (Figure S12, Supplementary Material) [
8
]. The NMR spectra of
8a
,
b
(Table 1; Figures
S13–S18, Supplementary Material) were closely similar to those of amarisolide D (
8c
), a neo-clerodane
type of diterpenoid with an
α
,
β
-unsaturated-
γ
-lactone at C-4/C-5, a five-membered keto-
γ
-lactol
methyl ether and a
β
-D-glucopyranosyloxy moiety at C-2 [
8
]. Thus, in compound
8a
,
b
the signals
for the five-membered keto-
γ
-lactol methyl ether were replaced by those of a keto-
γ
-lactol moiety.
Molecules 2020,25, 3530 4 of 18
Accordingly, the NMR spectra showed signals at
δH
5.90, 6.05 (brs, H-14)/
δC
99.4, 99.9 (C-14),
δH
5.96 (brs, H-16)/
δC
116.1 (C-16),
δC
171.4 (C-13) and
δC
171.9 (C-15) (Table 1). Since the resonances
for H-14 appeared as two separate signals, the intensity of each corresponding to one-half proton,
compound
8a
,
b
is a 1:1 mixture of C-14 epimers. The doubling of C-14 signal in the
13
C-NMR spectra
provided further evidenced (Table 1). The
13
C-NMR chemical shifts (Table 1) of C-11-C-16 and the
key HMBC (Heteronuclear Multiple Bond Correlation) correlations of H-12 and H-14 established
the point of attachment of the ethyl fragment (C-11-C-12) to the keto
γ
-lactol ring. The most
relevant HMBC correlations were H-12a (
δH
1.72) with C-14 (
δC
99.4 and 99.9); H-12b (
δH
1.56) with
C-14 (
δC
99.4 and 99.9); and H-14 (
δH
5.90 and 6.05) with C-12 (
δC
33.8). The NOESY (Nuclear
Overhauser Eect Spectroscopy) interactions revealed that the relative configuration at the stereogenic
centers of
8a
,
b
was identical to that of amarisolides A–D [
8
]. The electronic circular dichroism
spectrum of
8a
,
b
showed negative Cotton eects at ~212 and ~250 nm due to the electronic transitions
ππ
* and n
π
*, respectively, of the
α
,
β
-unsaturated-
γ
-lactone. The latter data indicated that
the absolute configuration at the stereogenic centers C-2, C-5, C-8, C-9 and C-10 of compound
8a
,
b
was S,S,R,Rand R, respectively. The D configuration of the
β
-glucopyranosyloxy moiety
was established as previously described [
8
]. On the basis of these evidences, compound
8a
,
b
was characterized as (2S,5S,8R,9R,10R,14R,S)-2-(O-
β
-d-glucopyranosyl)-neo-clerodan-14-hydroxy-3,
13-diene-14,15;18,19-diolide (8a,b) and was designated with the trivial name of amarisolide G.
Molecules 2020, 25, x 4 of 18
Figure 1. Structures of compounds (18a,b) from S. amarissima.
Product 8a,b was obtained as a white solid optically active. DART-HRMS (Direct Analysis In
Real Time-High Resolution Mass Spectrometry) established its molecular formula as C26H36O11. The
IR spectrum included bands for hydroxyl (3365 cm1) and α,β-unsaturated-γ-lactone (1749 cm1)
functionalities (Figure S12, Supplementary Material) [8]. The NMR spectra of 8a,b (Table 1; Figures
S13S18, Supplementary Material) were closely similar to those of amarisolide D (8c), a neo-clerodane
type of diterpenoid with an α,β-unsaturated-γ-lactone at C-4/C-5, a five-membered keto-γ-lactol
methyl ether and a β-D-glucopyranosyloxy moiety at C-2 [8]. Thus, in compound 8a,b the signals for
the five-membered keto-γ-lactol methyl ether were replaced by those of a keto-γ-lactol moiety.
Accordingly, the NMR spectra showed signals at δH 5.90, 6.05 (brs, H-14)/δC 99.4, 99.9 (C-14), δH 5.96
(brs, H-16)/δC 116.1 (C-16), δC 171.4 (C-13) and δC 171.9 (C-15) (Table 1). Since the resonances for H-14
appeared as two separate signals, the intensity of each corresponding to one-half proton, compound
8a,b is a 1:1 mixture of C-14 epimers. The doubling of C-14 signal in the 13C-NMR spectra provided
further evidenced (Table 1). The 13C-NMR chemical shifts (Table 1) of C-11-C-16 and the key HMBC
(Heteronuclear Multiple Bond Correlation) correlations of H-12 and H-14 established the point of
attachment of the ethyl fragment (C-11-C-12) to the ketoγ-lactol ring. The most relevant HMBC
correlations were H-12a (δH 1.72) with C-14 (δC 99.4 and 99.9); H-12b (δH 1.56) with C-14 (δC 99.4 and
99.9); and H-14 (δH 5.90 and 6.05) with C-12 (δC 33.8). The NOESY (Nuclear Overhauser Effect
Spectroscopy) interactions revealed that the relative configuration at the stereogenic centers of 8a,b
was identical to that of amarisolides AD [8]. The electronic circular dichroism spectrum of 8a,b
showed negative Cotton effects at ~212 and ~250 nm due to the electronic transitions ππ* and n
π*, respectively, of the α,β-unsaturated-γ-lactone. The latter data indicated that the absolute
configuration at the stereogenic centers C-2, C-5, C-8, C-9 and C-10 of compound 8a,b was S, S, R, R
and R, respectively. The D configuration of the β-glucopyranosyloxy moiety was established as
previously described [8]. On the basis of these evidences, compound 8a,b was characterized as
(2S,5S,8R,9R,10R,14R,S)-2-(O-β-D-glucopyranosyl)-neo-clerodan-14-hydroxy-3, 13-diene-14,15;18,19-
diolide (8a,b) and was designated with the trivial name of amarisolide G.
Figure 1. Structures of compounds (18a,b) from S. amarissima.
2.2. Chemical Constituents of the Essential Oil
Dried and fresh plant materials were analyzed to assess any change during the drying process.
Since it is an aromatic plant, the chemical profile of the essential oil is valuable as an identity test.
The essential oil content of distilled aerial parts was 0.02% and 0.03% for fresh and dried material,
respectively. In each case, eight major compounds were identified, representing 99.96 and 99.97%
of the composition of the essential oil, respectively. As observed in Table 2and Figures S19 and
S20 (Supplementary Material), the major components in both samples were germacrene D (
15
) and
Molecules 2020,25, 3530 5 of 18
β
-selinene (
16
), followed by
β
-caryophyllene (
13
) and spathulenol (
17
). The only mutually exclusive
constituents were 3-methoxy-p-cymene (
9
) present in the dried material, and
δ
-elemene (
11
) found
only in the fresh plant. These dierences are not due to seasonal changes because the plant material
was from the same batch.
Table 1. 1H and 13C NMR spectroscopic data for compound 8a,bin DMSO-d6.
Position δHa(J/Hz) δCb
1α: 1.35 dd (13.6, 3.2) 26.3
β: 1.81 brd (13.7)
2 4.44–4.49 m 70.0
3 6.66 d (6.4) 131.1
4 143.0
5 45.4
6α: 1.72 td (12.7,3.3) 33.8
β: 1.22–1.26 m
7α: 1.53–1.58 m
β: 1.651.70 m 27.6
8 1.65–1.70 m 36.2
9 37.8
10 2.21 d (15.1) 40.5
11 1.59–1.64 m 27.6
12 α: 1.71–1.74 m 33.8
β: 1.53–1.64 m
13 171.4
14 α: 5.90 brs
β: 6.05 brs 99.4
99.9
15 171.9
16 5.96 brs 116.1
17 0.80 d (6.5) 15.9
18 169.2
19a 4.39 d (8.2) 70.9
19b 4.02 d (8.2)
20 0.57 s 17.7
104.31 d (7.7) 102.8
202.96–3.05 m 74.1
303.13–3.16 m 77.2
402.96–3.05 m 70.7
503.13–3.16 m 77.4
60α: 3.43–3.47 m
β: 3.63–3.69 m 61.6
14-OH 7.75 brs
20-OH 4.92 brs
30-OH 4.92 brs
40-OH 4.92 brs
60-OH 3.33 s
Assignments based on the analysis of the HSQC (Heteronuclear single quantum coherence spectroscopy) and
HMBC experiments; Jvalues (Hz) in parentheses. a700 MHz. b175 MHz.
It is worth mentioning that the oils from other Salvia species analyzed also contains sesquiterpenes.
In this context, Salvia ceratophylla, S. aethiopis L., S. palaestina Bentham and S. xanthocheila Boiss. ex
Benth., are rich sources of germacrene D (
15
) [
16
];
β
-caryophyllene (
13
) is the major component of
S. nemorosa L., S. verticillata L., S. virgata Ortega and S. hydrangea DC. ex Benth. Finally, germacrene B
was the major compound of S. syriaca L. [17,18].
Molecules 2020,25, 3530 6 of 18
Table 2. GC-MS identified compounds from the essential oils of S. amarissima.
Compound CAS Number Peak Area (%)
RI[a] Sa-Batch 1 Sa-Batch 2
3-Methoxy-p-cymene (9) 1076-56-8 1219 4.40
(E)-Pinocarvyl acetate (10) 1686-15-3 1313 5.98 2.10
δ-Elemene (11) 20307-84-0 1329 1.99
α-Bourbonene (12) 5208-58-2 1378 4.24 4.11
β-Caryophyllene (13) 87-44-5 1413 15.05 21.27
α-Caryophyllene (14) 1139-30-6 1447 7.68 4.21
Germacrene D (15) 37839-63-7 1476 25.09 24.26
β-Selinene (16) 17066-67-0 1491 28.35 30.16
Spathulenol (17) 6750-60-3 1576 11.59 9.45
Total peak area (%) 99.97 99.96
[a] RIretention indices relative to series of n-alkanes (C8-C20) on a DB-5 column.
2.3. Evaluation of Compounds 18a,b on the PTP-1B Inhibitory Activity
One of the major causes of type 2 diabetes mellitus is insulin resistance, which occurs when
the hormone cannot activate signaling pathways in major metabolic tissues (muscles, fat and liver).
Insulin resistance involves several inhibitory molecules that interfere with tyrosine phosphorylation
of the insulin receptor. Among those, PTP-1B is a promising therapeutic target since it inactivates
crucial signaling eectors in the insulin- and leptin-signaling cascades by dephosphorylating their
tyrosine residues [
13
]. Therefore, natural products
1
8a,b
were tested against PTP-1B (Table 3). Among
the flavonoids tested, the most active component was pedalitin (
7
) with an IC
50
of 62.0
±
4.1
µ
M
(19.0
µ
g/mL), whereas of the diterpenoids was amarisolide (
1
) (279.9
±
26.0
µ
M; 137.9
µ
g/mL). In both
cases, the inhibitory eect was concentration-dependent. The inhibitory activity against PTP-1B
reported for compounds
4
and
6
correlated well with that found in this work [
19
,
20
]. On the other hand,
rosmarinic acid (
5
) is an ingredient of an active extract of Rosmarinus ocinalis against PTP-1B [
21
].
However, in this study we report for the first time the eect of the pure
5
. The activity of the isolates
1
8a,b
was compared to that of ursolic acid (
UA
, IC
50
=28.1
±
1.2
µ
M), which in other studies displayed
lower IC50 values (~3.1 µM) [22].
Table 3.
Protein tyrosine phosphatase 1B (PTP-1B) inhibitory activity of compounds (
1
8a
,
b
) from
S. amarissima expressed as IC50.
µg/mL ±SD µM±SD
1137.9 ±12.8 279.9 ±26.0
262.5 ±2.3 189.4 ±7.0
324.2 ±0.7 80.1 ±2.2
4197.3 ±10.1 323.4 ±16.6
549.4 ±6.7 137.1 ±18.7
6120.7 ±14.7 259.9 ±31.7
719.6 ±1.3 62.0 ±4.1
8a,b 269.7 ±3.6 514.2 ±6.8
UA [a] - 28.1 ±1.2
[a] Positive control. Values are representative of three independent determinations.
The results of the PTP-1B are significant. They suggest that the traditional preparation
of S. amarissima, with hypoglycemic and antihyperglycemic properties demonstrated
in vivo
[
8
]
(i.e., the overall action), contains compounds such as
1
8a
,
b
that might weakly target dierent proteins
(i.e., PTP-1B and others) within the same signaling network thus shutting insulin signaling cascade
process by network pharmacology. It is also possible that compounds
1
6
and
8a
,
b
, with weaker activity
than compound
7
, altogether put forth a biochemical eect by synergism (i.e., a synergy between weakly
Molecules 2020,25, 3530 7 of 18
active compounds against PTP-1B). Finally, molecules like compounds
1
,
4
,
5
and
7
can exert their
action binding dierent targets such as PTP-1B and
α
-glycosidases, among others (polypharmacology).
The fact that rutin (
4
) [
23
] and rosmarinic acid (
5
) [
21
] are multitarget antidiabetic compounds, and
compounds 1and 7inhibited α-glycosidases in vivo [8] strengthen any of these possibilities.
2.4. Docking Study
To predict the preferred binding orientation of compounds
1, UA
and
7
into PTP-1B
,
we
performed a docking analysis. Compound
1
was not among the most active compounds but
included for comparative purposes. These substances
1
,
7
and
UA
were docked with the co-crystallized
structure of PTP-1B at the catalytic (PDB ID: 1G7F) and allosteric (PDB ID: 1T49) sites. The results in
Figure 2and Table 4indicate that all ligands bind at the same site as the co-crystallized ligands 892
(3-(3,5-dibromo-4-hydroxy-benzoyl)-2-ethyl-benzofuran-6-sulfonic acid (4-sulfamoyl-phenyl)-amide)
and INZ (2-{4-[(2s)-2-[({[(1s)-1-carboxy-2-phenylethyl]amino}carbonyl)amino]-3-oxo-3-(pentylamino)
propyl]phenoxy}malonic acid) [
24
,
25
]. The estimated energy binding is dierent for each compound.
Compound
1
has a higher anity for the catalytic site, which is more and conserved site, while
compound
7
and
UA
targeted its more hydrophobic and less conserved allosteric site. The RMSD
values for ligands
1
and
7
are in the range of 2 to 3 Å, which indicates that the ligands do not precisely
overlap but maintain the correct orientation [
26
,
27
]. The amino acids interacting with compounds
1
and
7
, as well as
AU
are similar to those previously reported for other inhibitors (Table 4; Figures S30
and S31 of the Supplementary Material) [
24
,
25
]. At the allosteric site, compound
7
has hydrophobic
interactions with Ala189, Leu192, Phe280 and Phe196 while
AU
with Leu192, Phe280 and Phe196.
Therefore, pedalitin (
7
) behaves as
UA
regarding its higher anity for the allosteric site. For
UA
, the
key structural feature is the pentacyclic core displaying a nonpolar characteristic, which interacts with
nonpolar residues in the allosteric site [
28
]. For compound
7
, apparently beside the tricyclic structure,
the lack of oxygen at C-3 of the flavonoid core seems to be essential. It will be necessary to pursue a
kinetic analysis to determine if experimentally compound
7
is an allosteric inhibitor of PTP-1B. It is
essential to mention, that the less-conserved PTP-1B allosteric site is an ideal target for a compound to
inhibit PTP-1B activity because the problems associated with inhibition at catalytic site will disappear.
Thus, this study may provide an important lead among flavones for the development of novel PTP-1B
allosteric inhibitors.
Molecules 2020, 25, x 8 of 18
1
K
i
values were calculated using the equation ΔG = RT lnK
i
[26]
2
Residues interacting 4 Å of the
compound;
3
RMSD were calculated from the co-crystallized ligands for UA; and for 1 and 7 from
UA. BE, binding energy.
Figure 2. Structural models of the binding sites of the PTP-1B ligand complexes. In cyan cartoons
(PTP-1B protein), red sticks (1), green sticks (7) purple sticks (UA) at the catalytic (A) and allosteric
sites (B). Images created with Pymol.
2.5. Molecular Dynamics of PTP-1B-Compounds 1, 7 and UA Complexes
Molecular dynamics (MD) studies of the complexes PTP-1B-compounds 1, 7 and UA were
carried out to evaluate the stability of the docked complexes illustrate in Figure 3. Table 5 shows the
theoretical parameters calculated from 100 ns of MD. All PTP-1B-compound complexes show
negative G (affinity parameter) consistent with their stability. Compound 1 has a G similar to UA
at the catalytic site, while compound 7 has a lower G than AU at the same site. Figures 3 and 4 show
the structural models, RMSD and Root Mean Square Fluctuations (RMSF) of the molecular
trajectories for compounds 1 and 7, respectively. The RMSD of the complexes is lower with respect
to PTP-1B in both the catalytic and allosteric MDs, which indicates the conformational stability of the
complexes. In the RMSF analysis, it is observed an area between residues 27–50 (corresponding to a
loop), which is stabilized with the ligands. The data obtained with the MDs are complementary and
conscious with the docking data and experimental results.
Table 5. Calculations of the theoretical energy components from the trajectories of molecular
dynamics.
Complex. E
vdw
E
ele
G
GB
G
NP
G
solv
G
bind
PTP-1B-UA
1
21.88 ± 0.44 20.02 ± 1.08 27.60 ± 1.63 41.91 ± 1.26 25.39 ± 1.04 16.51 ± 0.36
PTP-1B-UA
2
28.67 ± 0.23 1.21 ± 0.46 10.89 ± 0.42 27.78 ± 0.48 7.73 ± 4.21 20.05 ± 0.21
PTP-1B-1 36.22 ± 0.47 18.53 ± 0.77 41.62 ± 0.55 54.76 ± 1.00 36.84 ± 0.53 17.92 ± 0.61
PTP-1B-7 35.95 ± 0.45 4.27 ± 0.31 12.90 ± 0.33 40.22 ± 0.55 9.06 ± 0.33 31.16 ± 0.46
1
Catalytic site;
2
Allosteric site; E
vdw
, contributions by van der Waals interactions; E
ele
, electrostatic
energy; G
GB
, polar solvation energy; G
np
, nonpolar solvation energy; G
solv
, desolvation free energy
(G
solv
= G
GB
+ G
nonpol
); G
bind
, binding affinity.
Figure 2.
Structural models of the binding sites of the PTP-1B ligand complexes. In cyan cartoons
(PTP-1B protein), red sticks (
1
), green sticks (
7
) purple sticks (
UA
) at the catalytic (
A
) and allosteric
sites (B). Images created with Pymol.
Molecules 2020,25, 3530 8 of 18
Table 4. Results of the dockings analyses.
Catalytic Site Allosteric Site
Ki
(µM) 1BE
(kcal/mol) RMSD (Å) 3Residues 2Ki
(µM) 1BE
(kcal/mol) RMSD (Å) 3Residues 2
10.55 8.5 2.89 Tyr46, Asp48, Val49, Phe182, Gly183,
Cys215, Ser216, Ala217, Gly220,
Arg221, Gln262, Thr263 and Gln266 8.39 6.8 2.15 Phe196, Lys197, Arg199,
Glu200, Gly277, Phe280
and Ile281
79.94 6.8 2.73 Tyr46, Asp48, Val49, Trp179, Asp181,
Phe182, Gly183, Ala217, Ile219,
Arg221, Gln262 and Gln 266 2.16 7.7 2.27 Ala189, Leu192, Glu276,
Gly277, Phe280, Phe196,
Lys197 and Glu200
UA 2.56 7.6 1.35 Phe182, Gly183, Cys215, Ala217,
Gly218, Ile219, Gly220, Arg221,
Gln262, Thr263 and Gln266 0.78 8.3 1.73 Asn193, Phe196,
Asp263, Phe280, Leu192
and Ile281
1
K
i
values were calculated using the equation
G=RT lnK
i
[
26
]
2
Residues interacting 4 Å of the compound;
3RMSD were calculated from the co-crystallized ligands for UA; and for 1and 7from UA. BE, binding energy.
2.5. Molecular Dynamics of PTP-1B-Compounds 1, 7 and UA Complexes
Molecular dynamics (MD) studies of the complexes PTP-1B-compounds
1
,
7
and
UA
were carried
out to evaluate the stability of the docked complexes illustrate in Figure 3. Table 5shows the theoretical
parameters calculated from 100 ns of MD. All PTP-1B-compound complexes show negative
G (anity
parameter) consistent with their stability. Compound
1
has a
G similar to
UA
at the catalytic site,
while compound
7
has a lower
G than
AU
at the same site. Figures 3and 4show the structural models,
RMSD and Root Mean Square Fluctuations (RMSF) of the molecular trajectories for compounds
1
and
7
, respectively. The RMSD of the complexes is lower with respect to PTP-1B in both the catalytic and
allosteric MDs, which indicates the conformational stability of the complexes. In the RMSF analysis,
it is observed an area between residues 27–50 (corresponding to a loop), which is stabilized with the
ligands. The data obtained with the MDs are complementary and conscious with the docking data and
experimental results.
Molecules 2020, 25, x 9 of 18
Figure 3. Molecular dynamics at the catalytic site of PTP-1B for compound 1. A) Structural models,
B) RMSD and C) Root Mean Square Fluctuations (RMSF) from molecular trajectories. AU = UA.
Figure 3.
Molecular dynamics at the catalytic site of PTP-1B for compound
1
. (
A
) Structural models,
(B) RMSD and (C) Root Mean Square Fluctuations (RMSF) from molecular trajectories. AU =UA.
Molecules 2020,25, 3530 9 of 18
Table 5.
Calculations of the theoretical energy components from the trajectories of molecular dynamics.
Complex. Evdw Eele GGB GNP Gsolv Gbind
PTP-1B-UA 1
21.88
±
0.44
20.02
±
1.08
27.60 ±1.63
41.91
±
1.26
25.39 ±1.04
16.51
±
0.36
PTP-1B-UA 2
28.67
±
0.23
1.21 ±0.46 10.89 ±0.42
27.78
±
0.48
7.73 ±4.21
20.05
±
0.21
PTP-1B-1
36.22
±
0.47
18.53
±
0.77
41.62 ±0.55
54.76
±
1.00
36.84 ±0.53
17.92
±
0.61
PTP-1B-7
35.95
±
0.45
4.27 ±0.31 12.90 ±0.33
40.22
±
0.55
9.06 ±0.33
31.16
±
0.46
1
Catalytic site;
2
Allosteric site;
E
vdw
, contributions by van der Waals interactions;
E
ele
, electrostatic energy;
G
GB
, polar solvation energy;
G
np
, nonpolar solvation energy;
G
solv
, desolvation free energy (
G
solv
=
G
GB
+
Gnonpol); Gbind , binding anity.
Molecules 2020, 25, x 10 of 18
Figure 4. Molecular dynamics at the allosteric site of PTP-1B for compound 7. A) Structural models,
B) RMSD and C) RMSF from molecular trajectories.
2.6. Drug Likeness for Compounds 1, 7 and UA
According to the SwissTargetPrediction (http://www.swisstargetprediction.ch/index.php), and
Molinspiration (http://www.molinspiration.com/cgi-bin/properties) databases which predict the
most probable targets of small bioactive molecules, compounds 1, 7 and UA 1, 7 could target any
protein with percentages of 26.7, 40 and 40 %, respectively. SwissTargetPrediction predicted PTP-1B
inhibition for these compounds with probabilities of 0, 0.1266 and 0.95, respectively. According to
these predictions, UA should have been 7.5 times more active than compound 7; however,
experimentally, UA was only 2.2 times more than compound 7 (Figures S31–S34).
Next, using the Osiris Property Explorer server (http://che minformatics.ch/propertyExplorer),
relevant properties for compounds 1, 7 and UA were calculated and summarized in Table 6. These
properties indicate whether a molecule is a potential drug. The logP value is a measure of a
compound’s hydrophilicity. Low hydrophilicity and, therefore, high logP values cause poor
absorption. For a compound being well absorbed, its logP value must not be greater than 5.0; logP
values between 1.35 and 1.8 indicate perfect oral and intestinal absorption. Thus, compounds 1 and
7 could have proper absorption, but not UA.
The aqueous solubility of a compound influences its absorption and distribution characteristics;
a low solubility goes along with inadequate absorption. More than 80% of the drugs on the market
have a logS value higher than 4. Compounds 1 and UA present 3.48 and 6.11, respectively. The
drug-likeness parameter is a complex balance of various molecular properties and structural features
Figure 4.
Molecular dynamics at the allosteric site of PTP-1B for compound
7
. (
A
) Structural models,
(B) RMSD and (C) RMSF from molecular trajectories.
2.6. Drug Likeness for Compounds 1,7and UA
According to the SwissTargetPrediction (http://www.swisstargetprediction.ch/index.php),
and Molinspiration (http://www.molinspiration.com/cgi-bin/properties) databases which predict
the most probable targets of small bioactive molecules, compounds
1
,
7
and
UA 1
,
7
could target any
protein with percentages of 26.7, 40 and 40 %, respectively. SwissTargetPrediction predicted PTP-1B
inhibition for these compounds with probabilities of 0, 0.1266 and 0.95, respectively. According to these
predictions,
UA
should have been 7.5 times more active than compound
7
; however, experimentally,
UA was only 2.2 times more than compound 7(Figures S31–S34).
Next, using the Osiris Property Explorer server (http://cheminformatics.ch/propertyExplorer),
relevant properties for compounds
1
,
7
and
UA
were calculated and summarized in Table 6.
Molecules 2020,25, 3530 10 of 18
These properties indicate whether a molecule is a potential drug. The logP value is a measure
of a compound’s hydrophilicity. Low hydrophilicity and, therefore, high logP values cause poor
absorption.
For a compound
being well absorbed, its logP value must not be greater than 5.0; logP
values between 1.35 and 1.8 indicate perfect oral and intestinal absorption. Thus, compounds
1
and
7
could have proper absorption, but not UA.
Table 6. Physicochemical properties of compounds 1,7and UA.
1 7 UA
LogP 1.01 1.92 6
Solubility (LogS) 3.48 2.58 6.11
Molecular weight 492.56 316.26 456.71
Druglikeness 2.96 1.8 3.66
H bond acceptor 9 7 3
H bond donor 4 4 2
Nb stereocenters 10 0 10
Nb rotable bonds 6 2 1
Drug score 0.40 0.52 0.26
The data was calculated using the OSIRIS Property Explorer server (http://www.cheminfo.org/Chemistry/
Cheminformatics/Property_explorer/index.html).
The aqueous solubility of a compound influences its absorption and distribution characteristics;
a low solubility goes along with inadequate absorption. More than 80% of the drugs on the market
have a logS value higher than
4. Compounds
1
and
UA
present
3.48 and
6.11, respectively.
The drug-likeness parameter is a complex balance of various molecular properties and structural
features that determine whether a molecule is similar to the known drugs. These properties, mainly
hydrophobicity, electronic distribution, hydrogen bonding characteristics, molecule size and flexibility,
and of course presence of various pharmacophoric features influence the behavior of molecule in a
living organism, including bioavailability, transport properties, anity to proteins, reactivity, toxicity,
metabolic stability and many others. A positive value indicates that a molecule contains predominantly
fragments, which are frequently present in commercial drugs [
29
]; compound
7
has a drug-likeness
value of 1.8. The H bond acceptor and H bond donor’s parameters indicate a molecule’s ability to
interact to a greater or lesser degree with a protein; compounds
1
and
7
present a higher number of
possible hydrogen bridges than
UA
. Finally, the drug-score is an indicator that qualifies the potential
of a compound for being a drug based on all the calculated parameters; compound
7
has the best
drug-score (0.52), which is in harmony with the experimental and theoretical data.
2.7. Development and Validation of an UHPLC-MS Method for Quantifying 1
Initial assessments about the complexity of samples of AE were based on visual comparisons
of their chromatographic profiles. The ethyl acetate soluble fraction of AE yielded the best
profile. Chromatographic separation was performed on Acquity UHPLC
®
BEH Shield C
18
column
(
2.1 ×100 mm, 1.7 µm
) applying a binary gradient elution of water (0.1% formic acid) and MeCN.
The total run time was 10 min. As illustrated in Figure 5compounds
1
,
2
and
4
7
are present in the
chromatogram. All compounds were identified by their retention times and m/zvalues corresponding
to [M
H]
ions. Compounds
1
,
2
and
4
7
showed an eective baseline resolution. The pseudo
molecular ions of these compounds appeared at m/z609.54 [M
H]
(
4
; R
T
1.36 min), 463.46 [
MH
]
(
6
; R
T
1.60 min), 359.23 [M
H]
(5
; R
T
2.46 min), 315.48 [M
H]
(
7
; R
T
2.82 min), 329.70 [M
H]
(
2
;
R
T
3.65 min) and 491.23 [M
H]
(
1
; R
T
4.89 min). The main component of the ethyl acetate fraction
was amarisolide (
1
), then selected as a marker for validation. So far amarisolide (
1
) has been only
isolated from this species, which makes it an excellent marker compound for quality control. It is
worth mentioning that the neo-clerodanes type compounds detected in the infusion were
1
and
8a,b
,
but not the minor diterpenoids we previously isolated from the organic extract of the plant [8].
Molecules 2020,25, 3530 11 of 18
Molecules 2020, 25, x 12 of 18
Figure 5. Representative LC chromatogram of the ethyl acetate soluble fraction prepared from the
infusion of S. amarissima (Detection: 270 nm). Peak identification: 4: R
T
1.36 min; 6: R
T
1.60 min; 5: R
T
2.46 min; 7: R
T
2.82 min; 2: R
T
3.65 min; 1: R
T
4.89 min.
The linearity of the method was tested by recovery assay; the linear regression equation were
found to be y = 5636.35x 4337.55 (UV detection) and y = 5252.80x + 64101.76 (ESI-MS detection). The
recovery ranges for the standard were expressed as the concentration detected as a percentage of the
expected concentration and were found in the ranges of 100.7–101.7 % for UV detection and 83.7–95.7
% for ESI-MS detection. The reproducibility and repeatability of the analytical method were
evaluated in terms of the intermediate precision by analyzing 6 replicates of the stock solution (50
μg/mL) in two different days. The relative SD (RSD; n = 6) was calculated for each sample evaluated.
The results indicated that their chromatographic patterns were similar showing the presence of
amarisolide (1). The CV values for accuracy were less than 0.11%. Subsequently, compound 1 was
quantified, and the mean concentration calculated was 116 mg/g in dry matter.
3. Materials and Methods
3.1. General Procedures
IR spectra were recorded using a Bruker Tensor 27 FT-IR spectrophotometer (Bruker Corp.,
Billerica, MA, USA). Optical rotations were recorded at the sodium
D
-line wavelength using a Perkin
Elmer model 343 polarimeter at 20 °C (Perkin Elmer, MA, USA). NMR spectra were registered on a
Bruker AVANCE III HD with TCI CryoProbe 700 H-C spectrometer at 700 MHz (
1
H) or 175 MHz
(
13
C), using TMS as an internal standard (Bruker Corp., Billerica, MA, USA). DARTHRMS were
acquired with a JEOL AccuTOF-DART JMS-T100LC (JEOL Ltd., Tokyo, Japan) spectrometer in
positive mode. For GC-MS analyses, an Agilent 6890N series gas chromatograph coupled to a LECO
(Laboratory Equipment Corporation) time-of-flight mass spectrometer detector (MS-TOF; Agilent
Technology, Santa Clara, CA, USA) was used. UHPLC-MS analyses were performed on a Waters
Acquity UHPLC-H® Class system (Waters, Darmstadt, Germany) equipped with a quaternary
pump, sample manager, column oven and photodiode array detector (PDA) interfaced with an SQD2
single mass spectrometer detector with an electrospray ion source. Column chromatography (CC)
was carried out on Sephadex LH-20 (GE Healthcare, IL, USA). Thin layer chromatographic (TLC)
analyses were performed on silica gel 60 F
254
plates (Merck, Darmstadt, Germany), or C
18
-silica gel
matrix plates Analtech plates (Merck, Darmstadt, Germany), visualization of the plates was carried
out using an (NH
4
)
4
Ce(SO
4
)
4
(10%) solution in H
2
SO
4
. Reagent-grade EtOAc, CHCl
3
, CH
2
Cl
2
and
MeOH were purchased from J.T. Baker (Avantor Performance Materials, PA, USA). MeCN, MeOH
and water LC-MS or HPLC grades were purchased from Honeywell Burdick & Jackson (Morristown,
NJ, USA). All other analytical grade solvents and reagents were obtained from various commercial
Figure 5.
Representative LC chromatogram of the ethyl acetate soluble fraction prepared from the
infusion of S. amarissima (Detection: 270 nm). Peak identification:
4
: R
T
1.36 min;
6
: R
T
1.60 min;
5
: R
T
2.46 min; 7: RT2.82 min; 2: RT3.65 min; 1: RT4.89 min.
The analytical method was validated in terms of precision, accuracy, linearity and recovery
according to the Q2 (R1) guideline published by the International Conference on Harmonisation
(ICH) [
30
]. The linearity of the system was tested using a concentration range of
1
between 5
to 100
µ
g/mL and was found to be linear (R
2
=0.9994 (UV) and 0.9921 (Electrospray Ionization
Mass Spectrometry, ESI-MS) in the concentration range used. The CV was less than 0.13% at each
concentration level analyzed. The limit of identification (LOD) and quantification (LOQ) values
were 1.22 and 3.70
µ
g/mL, respectively for UV detection; and 0.60 and 1.82
µ
g/mL, respectively for
ESI-MS detection.
The linearity of the method was tested by recovery assay; the linear regression equation were
found to be y =5636.35x
4337.55 (UV detection) and y =5252.80x +64,101.76 (ESI-MS detection).
The recovery ranges for the standard were expressed as the concentration detected as a percentage of the
expected concentration and were found in the ranges of 100.7–101.7 % for UV detection and 83.7–95.7%
for ESI-MS detection. The reproducibility and repeatability of the analytical method were evaluated in
terms of the intermediate precision by analyzing 6 replicates of the stock solution (50
µ
g/mL) in two
dierent days. The relative SD (RSD; n=6) was calculated for each sample evaluated. The results
indicated that their chromatographic patterns were similar showing the presence of amarisolide (
1
).
The CV values for accuracy were less than 0.11%. Subsequently, compound
1
was quantified, and the
mean concentration calculated was 116 mg/g in dry matter.
3. Materials and Methods
3.1. General Procedures
IR spectra were recorded using a Bruker Tensor 27 FT-IR spectrophotometer (Bruker Corp.,
Billerica, MA, USA). Optical rotations were recorded at the sodium d-line wavelength using a Perkin
Elmer model 343 polarimeter at 20
C (Perkin Elmer, MA, USA). NMR spectra were registered
on a Bruker AVANCE III HD with TCI CryoProbe 700 H-C spectrometer at 700 MHz (
1
H) or 175
MHz (
13
C), using TMS as an internal standard (Bruker Corp., Billerica, MA, USA). DARTHRMS
were acquired with a JEOL AccuTOF-DART JMS-T100LC (JEOL Ltd., Tokyo, Japan) spectrometer in
positive mode. For GC-MS analyses, an Agilent 6890N series gas chromatograph coupled to a LECO
(Laboratory Equipment Corporation) time-of-flight mass spectrometer detector (MS-TOF; Agilent
Technology, Santa Clara, CA, USA) was used. UHPLC-MS analyses were performed on a Waters
Molecules 2020,25, 3530 12 of 18
Acquity UHPLC-H
®
Class system (Waters, Darmstadt, Germany) equipped with a quaternary pump,
sample manager, column oven and photodiode array detector (PDA) interfaced with an SQD2 single
mass spectrometer detector with an electrospray ion source. Column chromatography (CC) was carried
out on Sephadex LH-20 (GE Healthcare, IL, USA). Thin layer chromatographic (TLC) analyses were
performed on silica gel 60 F
254
plates (Merck, Darmstadt, Germany), or C
18
-silica gel matrix plates
Analtech plates (Merck, Darmstadt, Germany), visualization of the plates was carried out using an
(NH
4
)
4
Ce(SO
4
)
4
(10%) solution in H
2
SO
4
. Reagent-grade EtOAc, CHCl
3
, CH
2
Cl
2
and MeOH were
purchased from J.T. Baker (Avantor Performance Materials, PA, USA). MeCN, MeOH and water LC-MS
or HPLC grades were purchased from Honeywell Burdick & Jackson (Morristown, NJ, USA). All other
analytical grade solvents and reagents were obtained from various commercial sources. Amarisolide
(
1
) was isolated from the species S. amarissima in the present study. The purity was determined to be
more than 98% by UHPLC-MS.
3.2. Plant Material
Salvia amarissima was collected in Capul
á
lpam de M
é
ndez, Ixtl
á
n de Ju
á
rez, Oaxaca, in January
2019 (Sa-Batch 1 (fresh) and Sa-Batch 2 (air-dried)). A voucher specimen (Number 1502277) was
deposited at the National Herbarium of Mexico (MEXU), Instituto de Biolog
í
a, UNAM. R. Torres-Colin
achieved the botanical identification of the plant. The plant was air-dried and ground to a fine powder
(2 mm) in a Thomas Wiley Model 4 Mill.
3.3. Extracts and Essential Oils Preparation
AE from S. amarissima (dried aerial parts) was prepared with 250 mL of boiling water and 12.5 g
of the crude drug for 30 min. After filtration, the aqueous extract was concentrated in vacuo to obtain
0.1 g of a green residue. This process was repeated as necessary to prepare 10 g of AE. The ethyl acetate
soluble fraction was prepared via partitioning with EtOAc (3
×
250 mL) from the aqueous extract.
The resulting organic phase was dried over anhydrous sodium sulfate and concentrated in vacuo to
yield 130 mg of a brown residue (yield 1.0%).
EOs were prepared from fresh (Sa-batch 1) and air-dried (Sa-batch 2) plant material (200 g in 1.5 L
of distilled water) by hydrodistillation in a modified Clevenger type apparatus for 3 h. In both cases,
the hydrodistilled was extracted with CH
2
Cl
2
(3
×
2 L). The resulting organic phases were dried over
Na
2
SO
4
and concentrated in vacuo to yield an oily yellow residue (0.040 g, yield 0.02% in the case of
the fresh material, and 0.063 g, yield 0.03% for the dried plant). All samples were stored at
4
C until
chemical analysis.
3.4. Separation of Active Compounds from the Ethyl Acetate Soluble Fraction
The ethyl acetate soluble fraction (100 mg) was subjected to CC on Sephadex LH-20 (400 g)
using MeOH as eluent; fractions were pooled into 20 secondary fractions (F
1
–F
20
) according to their
TLC profiles. From fraction F
16
(73 mg) crystallized 60 mg of amarisolide (
1
). Preparative RP-TLC
of fraction F
20
(10 mg) yielded 1.2 mg of 5,6,4
0
-trihydroxy-7,3
0
-dimethoxyflavone (
2
) and 4.2 mg of
6-hydroxyluteolin (3).
3.5. Separation of Active Compounds from AE
AE (4.3 g) was fractionated via CC on Sephadex LH-20 using a gradient system of methanol–water
(water 40–100%); this process gave 12 secondary fractions (AE
1
–AE
12
). From fraction AE
9
(35 mg)
crystallized 30 mg of rutin (
4
; m.p. 241–242
C). From fraction AE
11
(15 mg) crystallized 5 mg of
isoquercitrin (
6
). Fraction AE
6
(220 mg) was further purified on a Sephadex CC, eluting with MeOH,
to yield 16 mg of rosmarinic acid (
5
). Preparative TLC on silica gel [ethyl acetate-methanol (85:15)] of
fraction AE
5
(11 mg) aorded 1 mg of pedalitin (
7
). Finally, preparative RP-TLC of AE
6
(10 mg, MeOH)
aorded 4 mg of an epimeric mixture of amarisolide G (8a,b).
Molecules 2020,25, 3530 13 of 18
Amarisolide G (
8a,b
): White solid; m.p. 133–135
C.
[α]20
D
=–149 (c =1 mg/mL, MOH). UV
(MeOH):
λmax
(log
ε
) 206 (0.612) nm. IR (KBr):
νmax
3365, 1749 cm
1
. ECD (c 0.2 mM, MeOH):
λmax
(
ε
) 212 (–5.21), 250 (–4.65) nm.
1
H and
13
C-NMR: see Table 1. HRESIMS: m/z525.2317 [M +H]
+
(calc.
525.2330 for C26H37O11).
3.6. Enzymatic Hydrolysis of 8a,b
Compound
8a
,
b
(2 mg) was mixed with
β
-glucosidase (2 mg, Sigma-Aldrich, MO, USA) in
phosphate buer solution (2 mL, 100 mM at pH 7); and kept at 40
C for 15 days. Subsequently,
the reaction mixture was extracted with CHCl
3,
and the aqueous phase was concentrated to dryness
and subjected to TLC analysis. d-Glucose was identified by comparison of the retention factor and
optical rotation value with those of the authentic sample.
3.7. UHPLC-MS Analysis and Method Validation
The analytical method (Figure 5) was developed using an Acquity UHPLC
®
BEH Shield C
18
column (2.1
×
100 mm, 1.7
µ
m) at 40
C. The mobile phase consisted of (A) water (0.1% formic acid)
and (B) acetonitrile with a linear gradient elution program: 0–10 min, 20–100% (B); 10–10.5 min, 20%
(B); 10.5–13 min, 20% (B). The flow rate was set to 0.3
µ
L/min, and the sample injection volume was
3.0
µ
L; detection was achieved with a PDA detector at 270 nm. For the identification of compounds,
each sample was analyzed with the electrospray ion source operating in both positive (ESI
+
) and
negative (ESI
) ionization modes. The ESI-MS conditions consisted of capillary voltage at 3.0 or 2.5 kV
in positive and negative ion modes, respectively; dry heater temperature 150
C; and nitrogen as the
sheath gas flow. MS spectra were obtained within a mass range of m/z100–1000 using nitrogen as the
collision gas. The MassLynk software (version 4.1) was used to control of the UHPLC-MS system and
for data acquisition and processing.
The method was validated according to the ICH guidelines [
30
]. For linearity, amarisolide (
1
) was
accurately weighed and dissolved in dioxane-methanol (v/v, 1:1) to prepare stock solution at a final
concentration of 1 mg/mL. Six working solutions in the range of 5–100
µ
g/mL for the standard were
prepared from serial dilutions from the stock solution. Each concentration was prepared in sextuplicate.
The linearity was assessed estimating the slope, y-intercept and coecient of determination (R
2
) using
the least squares method. Limits of detection (LOD) and quantification (LOQ) for the standard were
determined at signal-to-noise (S/N) ratios of 3 and 10, respectively. Recovery experiments were carried
out to evaluate the accuracy, assaying independently three amounts equivalent to 50 (ca. 10
µ
g/mL),
100 (ca. 50
µ
g/mL) or 125% (ca. 75
µ
g/mL). At each level, compound
1
was added simultaneously to
the ethyl acetate soluble fraction (50
µ
g/mL). Each sample was injected twice and analyzed according
to the method previously described. The mean percentage recovery for the standard was found to
be between 98 and 102% by means of Fisher’s F test [
30
]. Finally, the repeatability and inter-day
precision was evaluated by testing six identical samples according to the above described method on
two consecutive days and by two dierent analysts by triplicate. The relative standard deviation (RSD)
was calculated for each determination as a measure of precision and repeatability.
3.8. GC-MS Analysis of the Essential Oils
For GC-MS analyses, compounds were separated on a DB-5 capillary column (Supelco, Bellefonte,
PA, USA) with the following temperature program: oven temperature was programmed from 40 to
260
C at 4
C/min during 20 min, and finally up to 340
C for 20 min isothermally; injector and MS
transfer line temperatures were set at 200 and 300
C, respectively; Helium was used as the carrier gas
at a constant flow rate of 1 mL/min; split ratio, 1:20. A mixture of the homologous series of n-alkanes
(C
8
–C
20
) in CH
2
Cl
2
was directly injected into the GC under the above temperature program, in order
to calculate the linear retention indices (R
I
). All mass spectra were acquired in EI mode (scan range m/z
40–400, ionization energy 70 eV). The components were identified using retention index (R
I
) of peaks
in the chromatogram [
31
,
32
] and by comparison of their mass spectra with those of standard library
Molecules 2020,25, 3530 14 of 18
data (NIST) of the GC-MS system and literature data or with those of authentic samples available
commercially. All determinations were performed in triplicate.
3.9. Protein Tyrosine Phosphatase 1B Inhibition Assay
The expression and purification of hPTP-1B was performed as previously described [
33
]. Aqueous
extract (AE), ethyl acetate soluble fraction, pure compounds and positive control were dissolved in
DMSO or MeOH or Tris buer solution (Tris-HCl, 20 mM, pH 7). Aliquots of 0–10
µ
L of testing
materials (triplicated) were incubated for 5 min with 20
µ
L of enzyme stock solution in Tris-HCl
(22 nM). After incubation, 10
µ
L of p-nitrophenylphosphate (pNPP; 5 mM) was added and further
incubated for 15 min at 25
C; then, the absorbance was determined (
λmax
415 nm). For all samples,
the inhibitory activity was determined as a percentage in comparison to the blank (Tris-HCl) according
to the following equation:
% PTP1B = 1A415t
A415C !×100 (1)
where % PTP-1B is the percentage of inhibition, A
415t
is the corrected absorbance of the extracts, fraction,
or compounds under testing (A
415end
A
415initial
) and A
415C
is the absorbance of the blank (A
415end blank
A415initial blank). The IC50 was calculated by regression analysis, using the following equation:
%Inhibition =A100
1+I
IC50 s(2)
where A
100
is the maximum inhibition, Iis the inhibitor concentration, IC
50
is the concentration required
to inhibit the activity of the enzyme by 50% and Sis the cooperative degree.
3.10. Docking Studies
To perform the docking at the catalytic site, the PTP1B-INZ complex corresponding to the PDB
1G7F was used, which has a resolution of 1.8 A. For the allosteric site, the PDB 1T49 (resolution of 1.9)
was used. The two PDBs used were selected considering the resolution and that they had co-crystallized
ligands at the sites of interest. All compounds were built using the HyperChem 8.0 release program
and optimized geometrically using the Gaussian 09 program, revision A.02 (Gaussian Inc., Wallingford,
CT, USA) at DFT B3LYP/3-21G level of theory. The protein and ligands were further prepared using
the utilities implemented by AutoDockTools 1.5.4 (http://mgltools.scripps.edu/). The protein was
adding polar hydrogen atoms, Kollman united-atom partial charges, and to the ligands computing
Gasteiger–Marsilli formalism charges, rotatable groups which were assigned automatically as were the
active torsions. Blind docking was carried out using AutoDock Vina version 2.0 [
34
]. The root mean
square deviation (RMSD) values were obtained by comparing the best pose generated in AutoDock.
The initial parameters used for the active site were a grid box size was 42 Å
×
40 Å
×
40 Å in the x, y
and z dimensions and grid center 9.73, 18.00, 971 to 1G7F.PDB. For the allosteric site docking were
a grid box size was 42 Å
×
40 Å
×
40 Å in the x, y and z dimensions and grid center 9.73, 18.00, 971
used 1T49.pdb. For both sites, the exhaustiveness was 25, and the ten best poses were obtained. The
analysis of the docking was made with PyMol (Maestro, Schrödinger, LLC, New York, NY) [35].
3.11. Molecular Dynamics Simulation
All the structural complexes were verified, cleaned and ordered with the pdb4amber scrip before
starting the preparation in order to generate suitable topologies from the LEaP module of AMBER
19 [
36
,
37
]. Each structure and complex was subjected to the following protocol: hydrogens and
other missing atoms were added using the LEaP module with the leaprc.protein.19SB parameter
set; Cl
or K
+
counterions were added to neutralize the system; the complexes were then solvated
in an octahedral box of explicit TIP3P model water molecules localizing the box limits at 12 Å from
the protein surface. Molecular dynamic simulations were performed at 1 atm and 315 K, maintained
Molecules 2020,25, 3530 15 of 18
with the Berendsen barostat and thermostat, using periodic boundary conditions and particle mesh
Ewald sums (grid spacing of 1 Å) for treating long-range electrostatic interactions with a 10 Å cutofor
computing direct interactions. The SHAKE algorithm was used to satisfy bond constraints, allowing
the employment of a two fs time step for the integration of Newton’s equations as recommended
in the Amber package [
36
,
38
]. Amber leaprc.protein.19SB force field [
39
] parameters were used
for all residues. All calculations were made using Graphics Processing Units (GPU) accelerated MD
engine in AMBER (pmemd.cuda), a program package that runs entirely on CUDA
®
(Compute Unified
Device Architecture)-enabled GPUs [
40
]. The protocol consisted of performing a minimization of the
initial structure, followed by 50ps heating and pressure equilibration at 315 K and 1.0 atm pressure,
respectively. Finally, the system is equilibrated with 500ps before starting the production of MD.
The production of the MD consisted of 100 ns for each complex. Frames were saved at ten ps intervals
for subsequent analysis. All analyses were done using CPPTRAJ [
41
] part of AMBER19 utilities and
OriginPro 9.1. The calculations of RMSD and Root Mean Square Fluctuations (RMSF) were made,
considering the C, CA and N. The charts were built with OriginPro 2018 SR1, and the trends were
adjusted with the function processing smooth (method lowess span). VMD and PyMOL [
35
] were
used to visualize and create the images from the MD.
3.12. Chemoinformatic Properties of Compounds 1, 7 and AU
The biological and chemoinformatic properties of compounds
1
,
7
and
AU
were explored using
the servers Swiss TargetPrediction (http://www.swisstargetprediction.ch/index.php), Molinspiration
(http://www.molinspiration.com/cgi-bin/properties) and Osiris Property Explorer server (http://che
minformatics.ch/propertyExplorer/) [29,42].
4. Conclusions
The AE of S. amarissima contains rutin (
4
) and rosmarinic acid (
5
), which inhibit intestinal glucose
absorption, promote glucose uptake in muscle cells and suppress insulin-resistance, among other
eects. On the other hand, pedalitin (7), which behave in silico as an allosteric inhibitor of PTP-1B,
could contribute to its overall antidiabetic action via
α
-glucosidase and selective PTP-1B inhibition,
and other mechanisms yet to be determined. The overall action of AE could be attained via network
pharmacology, synergism and or polypharmacology. Altogether, our studies on S. amarissima tend to
support its medicinal use for the treatment of diabetes in Mexican folk medicine. The chromatographic
analyses developed and validated in this study will allow the development of a pharmacopeic
monograph, and generate standardized preparations of this very Mexican plant. The analytical UHPLC
method was suitable for its intended purpose, the quantification of amarisolide (
1
) according to the Q2
(R1) guideline. Overall, the scientific information generated for this plant will contribute to its rational
use in Mexican folk medicine. Like many other New World melittophilous Salvia species, S. amarissima
is a rich source of bioactive compounds.
Supplementary Materials:
The following are available online. NMR, IR and MS spectrum of the isolated or
identified compounds, TIC chromatograms of the essential oils and Residues of interaction to 4 Å of compounds
1,
7and UA at the catalytic and allosteric sites of PTP-1B are available online.
Author Contributions:
This work is part of the PhD thesis of E.S.-A. who performed the experiments; analysis of
spectral data, A.P.-V.; UHPLC-MS method validation, I.R.-C.; docking analysis, M.R.-G.; expression and purification
of hPTP-1B, docking, molecular dynamics and parameters calculations, M.G.-A.; botanical characterization of the
species, R.T.-C.; conception, funding acquisition, structure elucidation, writing and editing, R.M. All authors have
read and agreed to the published version of the manuscript.
Funding:
The research was supported by grants from CONACyT CB A1-S-11226 and DGAPA IN 217320 awarded
to R.M.
Molecules 2020,25, 3530 16 of 18
Acknowledgments:
The authors recognize the valuable support of M.I. Vel
á
squez-L
ó
pez from Facultad de
Medicina; and Georgina Duarte from Facultad de Qu
í
mica. We are indebted to Biol. Itzi Fragoso and Martha
Mart
í
nez Gordillo (Facultad de Ciencias, UNAM) for their valuable help in the identification of the plant material.
We also recognize the support of Direcci
ó
n General de C
ó
mputo y de Tecnolog
í
as de Informaci
ó
n y Comunicaci
ó
n
(DGTIC, UNAM) for the resources to carry out computational calculations through the Miztli supercomputing
system (LANCAD-UNAM-DGTIC-313). E.S.-A. acknowledges the fellowship from CONACyT (289212) to pursue
graduate studies.
Conflicts of Interest: The authors declare no conflict of interest.
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©
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... Flores-Bocanegra et al. [11] indicate that the antihyperglycemic action in rat models is due to the inhibitory activity of the enzyme alpha-glucosidase. Additionally, Salinas-Arellano et al. [15] note that the presence of flavonoids and terpenoids, such as the flavonoids rutin, isoquercitrin and pedalitin, which have anxiolytic and/or antinociceptive properties, inhibits the activity of protein tyrosine phosphatase 1B (PTP-1B). ...
... In extracts of S. circinata, compounds such as pedalitin, apigenin-7-O-β-D-glucoside, flavone 2-(3,4-dimethoxyphenyl)-5,6-dihydroxy-7-methoxy-4H-chromen-4-one, apigenin, 5,6-dihydroxy-7,3 ,4 -trimethoxy-flavone, 5,6,4 -trihydroxy-7,3 -dimethoxyflavone, 6-hydroxyluteolin, rutin, isoquercitrin and rosmarinic acid have been identified [10,11,13,15]. In this study, the contents of chlorogenic acid, rosmarinic acid, rutin and isoquercitrin were identified and quantified in methanolic extracts of leaves and young stems of S. circinata, and the effects of sample locality of origin (Po, populations), growth environment (E) and locality-environment interaction (Po × E) and variations in the response pattern between compounds were identified (Table 4). ...
... Rutin and isoquercitrin are antioxidant glycosylated flavonoids present in some species of Salvia, such as S. fruticosa [38], Salvia miltiorrhiza and S. amarissima from Oaxaca, Mexico [15]. The previously identified patterns of chlorogenic and rosmarinic acid contents are confirmed, in some way or in part. ...
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The genus Salvia has a worldwide distribution, and its contribution to traditional medicine and as an aromatic plant has been recognized since ancient times, with few documented species having a similar phytochemical composition. In this study, the effects of natural growth conditions (in situ) and ex situ cultivation and sampling locations on the phenolic compound contents and antioxidant activity of methanolic extracts of Salvia circinata from Oaxaca, Mexico, were investigated. Stem and young leaf samples were collected from plants growing in situ in two locations in Oaxaca and later from plants propagated clonally or vegetatively from propagules obtained in situ but grown ex situ. In both sets of samples, the contents of total polyphenols and flavonoids and the antioxidant activity were evaluated by spectrophotometry, and subsequently, the contents of phenols and specific flavonoids were identified and quantified by high-performance liquid chromatography with diode-array detection (HPLC–DAD). The growth conditions and locality of origin of the samples significantly influenced the contents of total polyphenols and flavonoids and antioxidant activity, with the in situ conditions in the locality of Reforma, Oaxaca, favoring higher levels. Two phenolic acids (chlorogenic and rosmarinic) and two flavonoids (isoquercitrin and rutin) were identified, and the concentrations of these compounds were influenced by the growth conditions and localities of origin of the samples.
... Untargeted metabolomic analysis with UPLC-ESI +/− -MS-QTOF allowed the identification of a total of 46 compounds of phenolic and terpene nature in the extracts of salvias and also highlighted that the three species present particular chemical profiles, with only four shared compounds (rutin, rosmarinic acid, 11β-hydroxy-3-oxo-urs-12-en-28-oic acid and 3-hydroxyestran-17-one). The first three are widely distributed, both in Salvia [8,[76][77][78] and in various botanical families [79][80][81], and this is explained because they are compounds that intervene in defence mechanisms against other organisms or that improve tolerance to certain environmental factors such as pollution, UV light and lack of water [82][83][84][85][86]. Phenolic acids such as sagerinic, syringic and salvianolic were first identified in S. cinnabarina, S. longispicata, and S. lavanduloides, respectively. These metabolites have been previously reported in Salvia species [5,8,87]. ...
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Mexico is considered one of the countries with the greatest diversity of the Salvia genus. A significant percentage of its species are known for their use in traditional medicine, highlighting their use as an analgesic. The objective of this work was to determine the chemical composition of the methanolic extracts of S. cinnabarina, S. lavanduloides and S. longispicata through untargeted metabolomics, as well as the in vivo evaluation of the antinociceptive effect and acute oral toxicity. The chemical profiling was performed using ultra-high performance liquid chromatography coupled with a high-resolution mass spectrometry (UPLC-ESI+/−-MS-QTOF) system and tentative identifications were performed using a compendium of information on compounds previously isolated from Mexican species of the genus. Pharmacological evaluation was carried out using the formalin test and OECD guidelines. The analysis of the spectrometric features of the mass/charge ratios of the three salvias shows that a low percentage of similarity is shared between them. Likewise, the putative identification allowed the annotation of 46 compounds, mainly of diterpene and phenolic nature, with only four compounds shared between the three species. Additionally, the extracts of the three salvias produced a significant antinociceptive effect at a dose of 300 mg/kg administered orally and did not present an acute oral toxicity effect at the maximum dose tested, indicating a parameter of LD50 > 2000 mg/kg. The exploration of the chemical profile of the three salvias by untargeted metabolomics shows that, despite being species with antinociceptive potential, they have different chemical profiles and therefore different active metabolites.
... It has been shown to protect cardiomyocytes against inflammation and apoptosis in myocardial injury via increasing PPARγ and inhibiting PTGS2 activity [121]. It can also inhibit DPP-4 [122], PTP1B [123] and AMY1C [124,125] activity in vitro. ...
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A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential of Salvia officinalis compounds to interact with key targets involved in the pathogenesis of T2DM. These were predicted using the SwissTargetPrediction, Similarity Ensemble Approach and BindingDB databases. Networks were constructed using the STRING online tool and Cytoscape (v.3.9.1) software. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis and molecular docking were performed using DAVID, SHINEGO 0.77 and MOE suite, respectively. ADME/drug-likeness parameters were computed using SwissADME and Molsoft L.L.C. The top-ranking targets were CTNNB1, JUN, ESR1, RELA, NR3C1, CREB1, PPARG, PTGS2, CYP3A4, MMP9, UGT2B7, CYP2C19, SLCO1B1, AR, CYP19A1, PARP1, CYP1A2, CYP1B1, HSD17B1, and GSK3B. Apigenin, caffeic acid, oleanolic acid, rosmarinic acid, hispidulin, and salvianolic acid B showed the highest degree of connections in the compound-target network. Gene enrichment analysis identified pathways involved in insulin resistance, adherens junctions, metabolic processes, IL-17, TNF-α, cAMP, relaxin, and AGE-RAGE in diabetic complications. Rosmarinic acid, caffeic acid, and salvianolic acid B showed the most promising interactions with PTGS2, DPP4, AMY1A, PTB1B, PPARG, GSK3B and RELA. Overall, this study enhances understanding of the antidiabetic activity of S. officinalis and provides further insights for future drug discovery purposes.
... tanshinones, clinopodiolides, tilifolidiones) and clerodanes (i.e. salvinorins, hispanines, amarisolides, among others) with the highest number of structures ( Figure 2) (Adams et al., 2005;Bigham et al., 2003;Bustos-Brito et al., 2019;Esquivel & Sánchez, 2005;Fan et al., 2019;Salinas-Arellano et al., 2020). The psychoactive compound, Salvinorin A, a clerodane isolated from S. divinorum, is considered to be a naturally occurring hallucinogen, and unlike other psychoactives such as alkaloids (morphine), it lacks nitrogen. ...
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Objective: To report the Genus richness, the traditional uses and the main chemical constituents of Salvia species distributed in Mexico. Design/Methodology/Approach: A bibliographic review was made in several databases such as Scopus, Web of Science, ScienceDirect and Google Scholar to know the diversity of the Genus, compile the traditional uses and the main chemical constituents of Salvia. Books and theses available in the repositories of the National Autonomous University of Mexico (UNAM in Spanish) were also reviewed. Results: In Mexico there are 307 species distributed in three subgenera with an endemism of about 77 %; 63 native species of Salvia have traditional uses, mainly medicinal and only 17 species are edible, ornamental and ceremonial. Sages are used to treat 141 ailments, the most reported being stomach pain, diarrhoea, insomnia, fever, susto, bile, cough and dysentery. Terpenes are the most diverse and abundant constituents in Salvia species, followed by phenolic acids and flavonoids. Study Limitations/Implications: This review provided insight into the great diversity of Mexican salvias and their medicinal importance in treating various ailments. However, few species have been studied phytochemically and pharmacologically. Findings/Conclusions: In the future, with prior implementation of their cultivation, Mexican sages could be a promising resource as a herbal remedy and/or as a source of bioactive compounds to provide medical care in the treatment of diseases, mainly of the digestive system. Keywords: Ethnobotany, phytochemistry, flavonoids, traditional medicine, terpenoids.
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Background: The prevalence of type 2 diabetes mellitus (T2DM) has increased markedly in recent years. Although traditional medicinal plants and natural products offer promising candidates for antidiabetic drugs, their full potential remains largely underexplored. Objectives: This study aimed to identify antidiabetic phytocompounds from a database of African plant-derived compounds, which were screened against four key antidiabetic targets: alpha-amylase 1 (AMY1A), α-glucosidase (MGAM), Protein Tyrosine Phosphatase 1B (PTP1B), and dipeptidyl peptidase IV (DPP-IV). Methods: The compounds were initially filtered for drug-likeness and subsequently screened using molecular docking. The top candidates underwent molecular dynamics (MD) simulations. During these simulations, the binding energies were calculated using the Molecular Mechanics Generalized Born Surface Area (MMGBSA) method. Additionally, several structural parameters such as root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (rGyr), polar surface area (PSA), molecular surface area (MolSA), and solvent accessible surface area (SASA) were analyzed. Results: A total of 43 unique compounds belonging to several chemical classes (i.e., flavonoids, terpenoids, alkaloids, iridoids, and xanthones) were identified, exhibiting docking scores comparable to known controls. The results were as follows: docking scores of -7.4 to -8.7 kcal/mol (control: -9.7) for AMY1A, -6.8 to -8.0 kcal/mol (control: -8.2) for MGAM, -8.1 to -9.6 kcal/mol (control: -9.3) for DPP4, and -5.9 to -6.8 kcal/mol (control: -9.1) for PTP1B. MD simulations indicated that AMY1A-101679366 and DPP4-393472 complexes are negative and notably lower (-65.3 kcal/mol and -54.1 kcal/mol, respectively) than their respective controls. Furthermore, the MD simulations revealed relatively stable RMSD and RMSF profiles for the complexes, with fluctuations below 2.0 Å. The rGyr, PSA, MolSA, and SASA analyses further confirmed the stability of the protein-ligand complexes. Conclusion: The findings unveiled several compounds with promising antidiabetic potential, establishing a basis for further in vitro and in vivo studies to explore their therapeutic applications in T2DM treatment. Additionally, these compounds may serve as scaffolds for enhanced drug development.
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The Salvia genus is one of the most extensive in the Lamiaceae family. The Salvia genus comprises approximately 900 species worldwide, 33 of which exist in the Valle de México, the most populated region of Mexico. The taxonomic identification of these species often represents a problem because they present a great variety of synonyms or variations in their nomenclature, like S. polystachya with 12 synonymies. The traditional medicinal uses of Salvia species in Mexico are varied and include treatment for around 97 diseases. At least 20 species of the Salvia genus have well-documented medicinal ethnobotanical information with various uses, including gastrointestinal disorders, gynecological problems, promoting childbirth, antipyretic, disinfecting wounds, diabetes, and respiratory issues. The phytochemistry of the Salvia species from the Valle of Mexico is also vast and diverse; at least 315 chemical compounds have been identified, mainly terpenoids, that have received significant attention due to their multifaceted biological activities. Among the activities mentioned are anticancer, anti-hyperglycemic, anti-fungal, anti-inflammatory, or anti-microbial. Some of the compounds present more than one biological activity. Given their extensive structural diversity, terpenoids represent a great source of compounds for developing new therapeutic agents. However, additional clinical and experimental studies are still needed to elucidate the mechanisms of action, optimal doses, and potential toxicity of the isolated compounds. Resumen. El género Salvia es uno de los más extensos en la familia Lamiaceae. El género Salvia comprende aproximadamente 900 especies alrededor del mundo, de las cuales 33 se encuentran en el Valle de México, la región más poblada de México. La identificación taxonómica de estas especies representa frecuentemente un problema al presentar una gran cantidad de sinonimias o variaciones en su nomenclatura, como S. polystachya que tiene 12 sinonimias. Los usos en medicina tradicional de Salvias en México son variados, incluyendo tratamiento para alrededor de 97 enfermedades. Por lo menos 20 especies del género Salvia tienen información bien documentada de sus usos médicos y etnobotánicos, con una amplia variedad de usos que incluye desórdenes gastrointestinales, problemas ginecológicos, promotores de parto, antipirético, para desinfectar heridas, diabetes o problemas respiratorios. La fitoquímica de las especies de Salvia del Valle de México es también amplia y diversa. Por lo menos 315 compuestos químicos han sido identificados y aislados, principalmente terpenoides, que han recibido gran atención debido a sus actividades biológicas multifacéticas, como anticancerígenas, antihiperglucémicas, antifúngica, antiinflamatorias o antimicrobianas. Algunos de los compuestos presentan más de una actividad biológica. Dada su extensa diversidad estructural, los terpenoides representan una amplia fuente de compuestos para el desarrollo de nuevos agentes terapéuticos. Sin embargo, estudios clínicos y experimentales adicionales son necesarios para elucidar el mecanismo de acción, dosis óptimas y toxicidad potencial de los compuestos aislados.
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This work aimed to discover protein tyrosine phosphatase 1B (PTP1B) inhibitors from a small molecule library of natural products (NPs) derived from selected Mexican medicinal plants and fungi to find new hits for developing antidiabetic drugs. The products showing similar IC50 values to ursolic acid (UA) (positive control, IC50 = 26.5) were considered hits. These compounds were canophyllol (1), 5-O-(β-D-glucopyranosyl)-7-methoxy-3′,4′-dihydroxy-4-phenylcoumarin (2), 3,4-dimethoxy-2,5-phenanthrenediol (3), masticadienonic acid (4), 4′,5,6-trihydroxy-3′,7-dimethoxyflavone (5), E/Z vermelhotin (6), tajixanthone hydrate (7), quercetin-3-O-(6″-benzoyl)-β-D-galactoside (8), lichexanthone (9), melianodiol (10), and confusarin (11). According to the double-reciprocal plots, 1 was a non-competitive inhibitor, 3 a mixed-type, and 6 competitive. The chemical space analysis of the hits (IC50 < 100 μM) and compounds possessing activity (IC50 in the range of 100–1,000 μM) with the BIOFACQUIM library indicated that the active molecules are chemically diverse, covering most of the known Mexican NPs’ chemical space. Finally, a structure–activity similarity (SAS) map was built using the Tanimoto similarity index and PTP1B absolute inhibitory activity, which allows the identification of seven scaffold hops, namely, compounds 3, 5, 6, 7, 8, 9, and 11. Canophyllol (1), on the other hand, is a true analog of UA since it is an SAR continuous zone of the SAS map.
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Molecular dynamics (MD) simulations have become increasingly popular in studying the motions and functions of biomolecules. The accuracy of the simulation, however, is highly determined by the molecular mechanics (MM) force field (FF), a set of functions with adjustable parameters to compute the potential energies from atomic positions. However, the overall quality of the FF, such as our previously published ff99SB and ff14SB, can be limited by assumptions that were made years ago. In the updated model presented here (ff19SB), we have significantly improved the backbone profiles for all 20 amino acids. We fit coupled ϕ/ψ parameters using 2D ϕ/ψ conformational scans for multiple amino acids, using as reference data the entire 2D quantum mechanics (QM) energy surface. We address the polarization inconsistency during dihedral parameter fitting by using both QM and MM in solution. Finally, we examine possible dependency of the backbone fitting on side chain rotamer. To extensively validate ff19SB parameters, we have performed a total of ~5 milliseconds MD simulations in explicit solvent. Our results show that after amino-acid specific training against QM data with solvent polarization, ff19SB not only reproduces the differences in amino acid specific Protein Data Bank (PDB) Ramachandran maps better, but also shows significantly improved capability to differentiate amino acid dependent properties such as helical propensities. We also conclude that an inherent underestimation of helicity is present in ff14SB, which is (inexactly) compensated by an increase in helical content driven by the TIP3P bias toward overly compact structures. In summary, ff19SB, when combined with a more accurate water model such as OPC, should have better predictive power for modeling sequence-specific behavior, protein mutations, and also rational protein design.
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p align="left"> Background : Salvia circinata is an endemic species of Mexico used in the folk medicine of Santiago Huauclilla, Oaxaca, mainly as remedy for gastrointestinal diseases. Hypothesis : If the extracts of Salvia circinata have secondary metabolites with antinociceptive activity, then the behavior of nociception in the model of “whriting” in mice will decrease. Specie studied : Salvia circinata Cav. (Lamiaceae). Study site and years of study : Salvia circinata was collected in Santiago Huauclilla, Oaxaca, in July 2014. Methods : Firstly, the acute toxicity of S. circinata extracts was evaluated to calculate the LD50 with OECD method. Then, dose-response curves of the antinociceptive effect of S. circinata organic and aqueous extracts (1, 10, 30, 100, and 300 mg/kg) were obtained in the writhing test in mice. Furthermore, chromatographic techniques were applied to isolate the compounds and were identified by comparison of the values of 1H NMR, 13C NMR and ESIMS reported in the literature. Results : Our data showed significant antinociceptive activity in all the tested extracts. Amarisolide A and pedalitin were isolated in the ethyl acetate and methanol extracts, respectively and assayed at doses of 1, 5 and 10 mg/kg, i.p. All the compounds decreased nociception in mice in at least 50 % from a minimal dosage of 1 mg/kg, i.p. and in a similar manner than the reference drug ketorolac (1 mg/kg, i.p.). Conclusions : Our findings give evidence that Salvia circinata possesses antinociceptive activity depending on the presence of several known bioactive constituents, reinforcing its use in the Mexican traditional medicine to alleviate abdominal pain.</p
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Diabetes mellitus (DM) is a prevailing global health metabolic disorder, with an alarming incidence rate and a huge burden on health care providers. DM is characterized by the elevation of blood glucose due either to a defect in insulin synthesis, secretion, binding to receptor, or an increase of insulin resistance. The internal and external factors such as obesity, urbanizations, and genetic mutations could increase the risk of developing DM. Flavonoids are phenolic compounds existing as secondary metabolites in fruits and vegetables as well as fungi. Their structure consists of 15 carbon skeletons and two aromatic rings (A and B) connected by three carbon chains. Flavonoids are furtherly classified into 6 subclasses: flavonols, flavones, flavanones, isoflavones, flavanols, and anthocyanidins. Naturally occurring flavonoids possess anti-diabetic effects. As in vitro and animal model's studies demonstrate, they have the ability to prevent diabetes and its complications. The aim of this review is to summarize the current knowledge addressing the antidiabetic effects of dietary flavonoids and their underlying molecular mechanisms on selected pathways: Glucose transporter, hepatic enzymes, tyrosine kinase inhibitor, AMPK, PPAR, and NF-κB. Flavonoids improve the pathogenesis of diabetes and its complications through the regulation of glucose metabolism, hepatic enzymes activities, and a lipid profile. Most studies illustrate a positive role of specific dietary flavonoids on diabetes, but the mechanisms of action and the side effects need more clarification. Overall, more research is needed to provide a better understanding of the mechanisms of diabetes treatment using flavonoids.
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Protein tyrosine phosphatase 1B (PTP1B) plays a specific role as a negative regulator of insulin signaling pathways and is a validated therapeutic target for Type 2 diabetes. Previously, arylbenzofurans were reported to have inhibitory activity against PTP1B. However, detailed investigation regarding their structure activity relationship (SAR) has not been elucidated. The main aim of this work was to investigate the PTP1B inhibitory activity of 2-arylbenzofuran analogs (sanggenofuran A (SA), mulberrofuran D2 (MD2), mulberrofuran D (MD), morusalfuran B (MB), mulberrofuran H (MH)) isolated from the root bark of Morus alba. All compounds demonstrated potent inhibitory activity with IC50 values ranging from 3.11 to 53.47 µM. Among the tested compounds, MD2 showed the strongest activity (IC50, 3.11 µM), followed by MD and MB, while SA and MH demonstrated the lowest activity. Lineweaver-Burk and Dixon plots were used for the determination of inhibition type whereas ligand and receptor interactions were investigated in modeled complexes via molecular docking. Our study clearly supports 2-arylbenzofuran analogs as a promising class of PTP1B inhibitors and illustrates the key positions responsible for the inhibitory activity, their correlation, the effect of prenyl/geranyl groups, and the influence of resorcinol scaffold, which can be further explored in-depth to develop therapeutic agents against T2DM.
Chapter
Herbal medicines are an integral element of alternative medical care in Mexico, and the best testimony to their efficacy and cultural value is their persistence in contemporary Mexican marketplaces where the highest percentages of medicinal and aromatic plants are sold. This chapter summarizes current trends in research on medicinal plants in Mexico, with emphasis on work carried out at the authors’ laboratories. The most relevant phytochemical and pharmacological profiles of a selected group of plants used widely for treating major national health problems are described.
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During a search for new α-glucosidase and protein tyrosine phosphatase 1B inhibitors from fungal sources, eight new secondary metabolites, including two anthranilic acid-derived peptides (1 and 2), four glycosylated anthraquinones (3-6), 4-isoprenylravenelin (7), and a dimer of 5,8-dihydroxy-4-methoxy-α-tetralone (8), along with four known compounds (9-12), were isolated from solid rice-based cultures of Malbranchea circinata. The structural elucidation of these metabolites was performed using 1D and 2D NMR techniques and DFT-calculated chemical shifts. Compounds 1-3, 9, and 10 showed inhibitory activity to yeast α-glucosidase (αGHY), with IC50 values ranging from 57.4 to 261.3 μM (IC50 acarbose = 585.8 μM). The effect of 10 (10.0 mg/kg) was corroborated in vivo using a sucrose tolerance test in normoglucemic mice. The most active compounds against PTP-1B were 8-10, with IC50 values from 10.9 to 15.3 μM (IC50 ursolic acid = 27.8 μM). Docking analysis of the active compounds into the crystal structures of αGHY and PTP-1B predicted that all compounds bind to the catalytic domains of the enzymes. Together, these results showed that M. circinata is a potential source of antidiabetic drug leads.
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Background: Computational or in silico studies are undertaken to assess the drug like properties of lead compounds. These studies help in fast prediction of relevant properties. Objective: Through this review an effort is made to encapsulate some of the important parameters which should be met by a compound for it to be considered as a potential drug candidate along with an overview of automated softwares which can be used for making various predictions. Method and results: Drug uptake, its absorption, evacuation and associated hazardous effects are important factors for consideration in drug designing and should be known in early stages of drug development. Several important physicochemical properties like molecular weight, polar surface area (PSA), molecular flexibility etc. have been to be taken into consideration in drug designing. Toxicological assessment is another important aspect of drug discovery which predicts the safety and adverse effects of a drug. Additionally, bioactivity scores of probable drug leads against various human receptors can also be predicted to evaluate the probability of them to act as a potential drug candidate. The in vivo biological targets of a molecule can also be efficiently predicted by molecular docking studies. Conclusion: Some important softwares like iGEMDOCK, AutoDock, OSIRIS property explorer, Molinspiration, MetaPrint2D, admetSAR and their working methodology and principle of working have been summarized in this review.
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Protein tyrosine phosphatase 1B (PTP1B) has led to an intense interest in developing its inhibitors as anti-diabetes, anti-obesity and anti-cancer agents. The fruits of Rubus chingii (Chinese raspberry) were used as a kind of dietary traditional Chinese medicine. The methanolic extract of R. chingii fruits exhibited significant PTP1B inhibitory activity. Further bioactivity-guided fractionation resulted in the isolation of three PTP1B inhibitory ursane-type triterpenes: ursolic acid (1), 2-oxopomolic acid (2), and 2α 19α-dihydroxy-3-oxo-urs-12-en-28-oic acid (3). Kinetics analyses revealed that 1 was a non-competitive PTP1B inhibitor, and 2 and 3 were mixed type PTP1B inhibitors. Compounds 1–3 and structurally related triterpenes (4–8) were further analyzed the structure-activity relationship, and were evaluated the inhibitory selectivity against four homologous protein tyrosine phosphatases (TCPTP, VHR, SHP-1 and SHP-2). Molecular docking simulations were also carried out, and the result indicated that 1, 3-acetoxy-urs-12-ene-28-oic acid (5), and pomolic acid-3β-acetate (6) bound at the allosteric site including α3, α6, and α7 helix of PTP1B.
Article
Nine terpenoids were isolated from the leaves and flowers of Salvia amarissima, including a new acylated diterpenoid glucoside, amarisolide F (1), a new neo-clerodane diterpenoid, amarissinin D (2), which was isolated as an acetyl derivative (2a), and four known diterpenoids. The structure of amarisolide F (1) was elucidated by NMR and MS data analyses, as well as its methanolysis products 7 and 8, which also constituted new diterpenoids, named amarissinin E and 8-epi-amarissinin E, respectively. The absolute configuration of compound 7 was established by single-crystal X-ray diffraction. The cytotoxicity and anti-MDR effect of 1 in three phenotypes of the MCF-7 cell lines were assayed. Compound 1 was 2-3.6-fold more active than amarissinins A (3) and B (4), but several orders of magnitude less active than teotihuacanin (6) and reserpine. © 2018 American Chemical Society and American Society of Pharmacognosy.