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In recent years, there has been a growing interest in the role of the microbiome in cardiovascular and cerebrovascular diseases. Emerging research highlights the potential role of the microbiome in intracranial aneurysm (IA) formation and rupture, particularly in relation to inflammation. In this review, we aim to explore the existing literature regarding the influence of the gut and oral microbiome on IA formation and rupture. In the first section, we provide background information, elucidating the connection between inflammation and aneurysm formation and presenting potential mechanisms of gut–brain interaction. Additionally, we explain the methods for microbiome analysis. The second section reviews existing studies that investigate the relationship between the gut and oral microbiome and IAs. We conclude with a prospective overview, highlighting the extent to which the microbiome is already therapeutically utilized in other fields. Furthermore, we address the challenges associated with the context of IAs that still need to be overcome.
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Citation: Joerger, A.-K.; Albrecht, C.;
Rothhammer, V.; Neuhaus, K.;
Wagner, A.; Meyer, B.; Wostrack, M.
The Role of Gut and Oral Microbiota
in the Formation and Rupture of
Intracranial Aneurysms: A Literature
Review. Int. J. Mol. Sci. 2024,25, 48.
https://doi.org/10.3390/
ijms25010048
Academic Editor: Hidenori Suzuki
Received: 12 November 2023
Revised: 14 December 2023
Accepted: 18 December 2023
Published: 19 December 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
International Journal of
Molecular Sciences
Review
The Role of Gut and Oral Microbiota in the Formation and
Rupture of Intracranial Aneurysms: A Literature Review
Ann-Kathrin Joerger 1, Carolin Albrecht 1, Veit Rothhammer 2, Klaus Neuhaus 3, Arthur Wagner 1,
Bernhard Meyer 1and Maria Wostrack 1,*
1Department of Neurosurgery, Klinikum Rechts der Isar, Technical University, 81675 Munich, Germany;
annkathrin.joerger@tum.de (A.-K.J.); bernhard.meyer@tum.de (B.M.)
2Department of Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen
Nuremberg, 91054 Erlangen, Germany; veit.rothhammer@fau.de
3Core Facility Microbiom, ZIEL Institute for Food & Health, Technical University of Munich,
85354 Freising, Germany; neuhaus@tum.de
*Correspondence: maria.wostrack@tum.de; Tel.: +49-89-4140-2151; Fax: +49-89-4140-4889
Abstract: In recent years, there has been a growing interest in the role of the microbiome in cardiovas-
cular and cerebrovascular diseases. Emerging research highlights the potential role of the microbiome
in intracranial aneurysm (IA) formation and rupture, particularly in relation to inflammation. In
this review, we aim to explore the existing literature regarding the influence of the gut and oral
microbiome on IA formation and rupture. In the first section, we provide background information,
elucidating the connection between inflammation and aneurysm formation and presenting potential
mechanisms of gut–brain interaction. Additionally, we explain the methods for microbiome analysis.
The second section reviews existing studies that investigate the relationship between the gut and oral
microbiome and IAs. We conclude with a prospective overview, highlighting the extent to which the
microbiome is already therapeutically utilized in other fields. Furthermore, we address the challenges
associated with the context of IAs that still need to be overcome.
Keywords: oral microbiome; gut microbiome; bacteria; periodontitis; intracranial aneurysm
1. Introduction
Subarachnoid hemorrhage (SAH) resulting from the rupture of an intracranial aneurysm
(IA) is a devastating type of stroke affecting around 6/100,000 patients worldwide annually [
1
],
leading to high mortality and morbidity rates [
2
,
3
]. It harbors a case fatality rate of 50% [
4
].
Due to the young age of onset compared to ischemic stroke and intracerebral hemorrhage,
SAH is a major contributor to the stroke-related loss of productive life years despite
advancements in risk assessment, imaging techniques, and surgical and intensive care
treatment [
2
,
3
]. Most SAH survivors suffer from persistent, disabling neurological deficits;
even those who experience some degree of neurological recovery often face ongoing
psychological and cognitive impairments. As a result, 46% of SAH survivors remain
severely disabled in their activities of daily life and are unable to return to work, resulting
in a considerable socioeconomic burden [
3
,
5
]. Approximately 3% of the population harbors
an incidental IA, but only a minority will experience a rupture leading to aneurysmal
SAH [
6
]. While various risk factors for IA rupture have been identified, including smoking,
prior SAH, hypertension, hypercholesterolemia, age, gender, aneurysm location, aneurysm
size, heart disease, and aspirin use [
7
12
], their respective individual impact is far from
being fully investigated [1315].
In recent years, there has been a growing interest in the role of the microbiome in
cardiovascular and cerebrovascular diseases [
16
22
]. The “microbiome” encompasses
all microorganisms residing in or on various parts of the human body, which includes
bacteria, fungi, and viruses (and all of their genes). The gut microbiome is particularly
Int. J. Mol. Sci. 2024,25, 48. https://doi.org/10.3390/ijms25010048 https://www.mdpi.com/journal/ijms
Int. J. Mol. Sci. 2024,25, 48 2 of 14
susceptible to modulation by dietary habits, lifestyle, and environmental factors [23]. The
role of diet as a risk factor for cardiovascular events has been shown before [
24
]. More
recently, attention has turned to the intestinal microbiome’s role in this process, with certain
dietary components, such as carnitine from red meat and phosphatidylcholine from egg
yolk, being metabolized by gut bacteria into trimethylamine, eventually converted in the
liver into trimethylamine n-oxide (TMAO), which has been established as a risk factor for
atherosclerosis [
25
,
26
]. For aortic aneurysms there is growing evidence about a potential
role of the gut microbiome in formation and rupture [
21
,
27
29
]. For example, it was shown
that patients with Campylobacter gracilis or Fusobacterium in their gut microbiome had a
significantly higher incidence of aortic aneurysm-related events [27].
Moreover, the hypothesis exists that the microbiome regulates intracranial processes
like neuroinflammation, brain injury, autoimmunity, and neurogenesis via the activation
of innate and adaptive immune cells [
30
]. Several studies have demonstrated the crucial
pathophysiological role of inflammation in the formation and rupture of IAs [
31
,
32
]. By
modulating vascular inflammation, microbiota may exert both beneficial and detrimental
effects on the development and rupture of IAs. It is worth noting that a substantial
microbiome also exists in the oral cavity which could play a role in IA formation and
rupture. So far, only a few studies have investigated the correlation between the microbiome
and IAs. In this narrative review, we aim to explore the existing literature regarding the
influence of the gut and oral microbiome on IA formation and rupture.
2. Exploring Pathways: Inflammation and Cerebral Aneurysm Formation, Gut–Brain
Interactions, and Microbiome Analysis
2.1. The Role of Inflammation in Cerebral Aneurysm Formation
Increasing evidence suggests that inflammation plays a pivotal role in the formation
of IAs [
33
]. This process includes endothelial dysfunction, followed by an inflammatory
response, the phenotype shift of smooth muscle cells (SMCs), the remodeling of the ex-
tracellular matrix, and ultimately, cell death and degradation of the vessel wall [
34
,
35
].
The initial cause of endothelial dysfunction and subsequent vascular remodeling is the
result of wall shear stress [
36
]. It was shown that areas of high wall shear stress, such as
the apex of an arterial bifurcation, are especially predisposed to aneurysm formation [
37
].
Mechanical shear stress upregulates the expression of pro-inflammatory mediators, such
as the nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-
κ
B) [
38
], matrix
metalloproteinases (MMPs) [
39
], interleukin-1
β
(IL-1
β
) [
40
], Ets-1, and monocyte chemoat-
tractant protein-1 (MCP-1) [
41
] and downregulates the expression of anti-inflammatory
mediators, such as nitric oxide (NO) [
40
] in endothelial cells. Pro-inflammatory media-
tors activate the inflammatory response, in which macrophages play a pivotal role [
33
].
Macrophages not only release pro-inflammatory cytokines that attract more inflammatory
cells, but also secrete MMPs that break down the extracellular matrix of the arterial wall,
causing additional damage by promoting the activation of other proteinases. For rats, it
was shown that the presence of macrophages and their derived MMPs was closely linked
to IA growth, and that the inhibition of these MMPs haltered the progression of IAs [
42
].
Similarly, Kanematsu et al. [
32
] found that mice depleted of macrophages had a significantly
reduced risk of developing IAs. Moreover, inhibiting MCP-1, a chemokine that controls the
infiltration of macrophages, prevented the development of IAs in mice [43].
Macrophages are not the sole cells participating in the inflammatory response within
the IA wall. Frosen et al. [
44
] reported in their study, which compared 42 ruptured and
24 unruptured IAs using a histological analysis, that the infiltration of the vessel wall by
both macrophages and T cells was associated with aneurysm rupture. Moreover, mast cells
may also play a role in IA formation. In rats, an elevated presence of mast cells during
IA formation was noted [
45
]. Additionally, the advancement of IA was effectively halted
when a mast cell degranulation inhibitor was administered.
SMCs, primarily located in the media layer of vessels, are the primary cells responsible
for producing the extracellular matrix in the vascular wall [
33
]. During the early stages of
Int. J. Mol. Sci. 2024,25, 48 3 of 14
aneurysm formation, SMCs migrate from the media layer into the intima layer in response
to endothelial injury and undergo proliferation, resulting in myointimal hyperplasia. As
the process continues, SMCs undergo a phenotypic shift from a specialized phenotype
focused on contraction to a dedifferentiated phenotype, which contributes to inflammation
and the breakdown of the extracellular matrix by expressing pro-inflammatory mediators
and MMPs [
34
]. Morphologically, these dedifferentiated SMCs no longer maintain their
tightly compacted spindle-like arrangement, but instead separate from each other and take
on a spider-like appearance within the aneurysm walls, leading to remodeling [46].
MMPs are observed to be produced by both macrophages [42] and SMCs [45] within
the wall of the blood vessels or aneurysms. These MMPs play a role in breaking down
the extracellular matrix of the arterial wall, leading to additional damage through the
upregulation of other proteinases and angiogenic factors [47].
Given this crucial role of inflammation in the pathophysiology of IA formation, the gut
and oral microbiome could also be involved in this process by modulating the inflammatory
response.
2.2. Potential Mechanisms of Gut–Brain Interaction
In rats, after ischemic stroke, an intestinal dysregulation with a greater permeability
of the gut-blood barrier has been shown [
48
]. Consecutively, lipopolysaccharide (LPS)
from Gram-negative bacteria of the intestine is translocated to the systemic circulation [
49
],
activating inflammatory processes. Following cerebral ischemia, the disruption of the blood-
brain barrier permits the entry of LPS into the brain parenchyma. This, in turn, triggers the
activation of Toll-like receptor 4 (TLR4) and the release of inflammatory cytokines, further
intensifying the damage to the ischemic brain [
50
]. Not only after ischemic stroke, but
also after intracerebral hemorrhage (ICH), intestinal permeability increased in mice [
51
].
Moreover, T cells and monocytes originating from intestinal Peyer’s patches accumulated
in the intracerebral hematoma. The expression of pro-inflammatory markers like IL-1
β
,
inducible nitric oxide synthase, and tumor necrosis factor
α
(TNF-
α
) was significantly
elevated in the brain tissue, while this was reversed after fecal microbiota transplantation.
For IA formation, the gut–brain interaction still remains unclear. A direct transloca-
tion of bacteria or LPS to the IAs appears unlikely [
52
]; instead, an indirect mechanism
modulating the inflammatory response in the aneurysm wall is proposed [
53
] (Figure 1).
Other potential mechanisms of gut–brain interaction include the direct stimulation of the
enteric and autonomic nervous system, neuroendocrine pathways, and the production of
biochemical (neuro-)transmitters by microbiota [49].
Int.J.Mol.Sci.2024,25,xFORPEERREVIEW3of13
formationwasnoted[45].Additionally,theadvancementofIAwaseectivelyhalted
whenamastcelldegranulationinhibitorwasadministered.
SMCs,primarilylocatedinthemedialayerofvessels,aretheprimarycellsresponsible
forproducingtheextracellularmatrixinthevascularwall[33].Duringtheearlystagesof
aneurysmformation,SMCsmigratefromthemedialayerintotheintimalayerinresponse
toendothelialinjuryandundergoproliferation,resultinginmyointimalhyperplasia.Asthe
processcontinues,SMCsundergoaphenotypicshiftfromaspecializedphenotypefocused
oncontractiontoadedifferentiatedphenotype,whichcontributestoinflammationandthe
breakdownoftheextracellularmatrixbyexpressingpro-inflammatorymediatorsand
MMPs[34].Morphologically,thesededifferentiatedSMCsnolongermaintaintheirtightly
compactedspindle-likearrangement,butinsteadseparatefromeachotherandtakeona
spider-likeappearancewithintheaneurysmwalls,leadingtoremodeling[46].
MMPsareobservedtobeproducedbybothmacrophages[42]andSMCs[45]within
thewallofthebloodvesselsoraneurysms.TheseMMPsplayaroleinbreakingdownthe
extracellularmatrixofthearterialwall,leadingtoadditionaldamagethroughtheupreg-
ulationofotherproteinasesandangiogenicfactors[47].
GiventhiscrucialroleofinammationinthepathophysiologyofIAformation,the
gutandoralmicrobiomecouldalsobeinvolvedinthisprocessbymodulatingtheinam-
matoryresponse.
2.2.PotentialMechanismsofGut–BrainInteraction
Inrats,afterischemicstroke,anintestinaldysregulationwithagreaterpermeability
ofthegut-bloodbarrierhasbeenshown[48].Consecutively,lipopolysaccharide(LPS)
fromGram-negativebacteriaoftheintestineistranslocatedtothesystemiccirculation[49],
activatinginflammatoryprocesses.Followingcerebralischemia,thedisruptionoftheblood-
brainbarrierpermitstheentryofLPSintothebrainparenchyma.This,inturn,triggersthe
activationofToll-likereceptor4(TLR4)andthereleaseofinflammatorycytokines,further
intensifyingthedamagetotheischemicbrain[50].Notonlyafterischemicstroke,butalso
afterintracerebralhemorrhage(ICH),intestinalpermeabilityincreasedinmice[51].More-
over,TcellsandmonocytesoriginatingfromintestinalPeyerspatchesaccumulatedinthe
intracerebralhematoma.Theexpressionofpro-inflammatorymarkerslikeIL-1β,inducible
nitricoxidesynthase,andtumornecrosisfactorα(TNF-α)wassignificantlyelevatedinthe
braintissue,whilethiswasreversedafterfecalmicrobiotatransplantation.
ForIAformation,thegut–braininteractionstillremainsunclear.Adirecttransloca-
tionofbacteriaorLPStotheIAsappearsunlikely[52];instead,anindirectmechanism
modulatingtheinammatoryresponseintheaneurysmwallisproposed[53](Figure1).
Otherpotentialmechanismsofgut–braininteractionincludethedirectstimulationofthe
entericandautonomicnervoussystem,neuroendocrinepathways,andtheproductionof
biochemical(neuro-)transmiersbymicrobiota[49].
Figure1.Gut–braininteraction.Figureshowsapotentialmechanismofgut–braininteraction.Gut
dysbiosisleadstodysregulationofthegut–bloodbarrierandLPStranslocationtosystemic
Figure 1. Gut–brain interaction. Figure shows a potential mechanism of gut–brain interaction. Gut
dysbiosis leads to dysregulation of the gut–blood barrier and LPS translocation to systemic circulation,
consecutively activating the immune system. The immune cells enter the intracranial vessels through
the systemic circulation and exert stress on the vascular endothelium here through inflammatory
mediators. TLR = Toll-like receptor, IL = interleukin, TNF = tumor necrosis factor, iNOS = inducible
nitric oxide synthase, IFN = interferon. Created with BioRender.com.
Int. J. Mol. Sci. 2024,25, 48 4 of 14
2.3. Methods of Analyzing the Microbiome
The two currently predominant approaches for microbial identification in microbiome
samples involve the next-generation sequencing (NGS) of gene amplicons from marker
genes, such as 16S rRNA, or shotgun metagenomics [54].
16S-rRNA gene amplicon sequencing: This approach is a targeted approach, i.e., with
the help of the polymerase chain reaction (PCR), a marker gene of interest is amplified.
The amplicons are then sequenced in high throughput and the sequences are used to
identify an organism. The primary target for bacterial identification is normally the 16S-
rRNA gene [
54
]. Due to its critical role in the ribosome, it is a well-conserved gene and
suitable for the taxonomic classification of bacteria [
55
]. The 16S-rRNA gene sequence can
be divided into invariable regions and nine variable regions (V1–V9). PCR is used with
specific primers, which bind in the conserved regions. However, the most-used current
sequencing machines only cover 2
×
300 bp, and therefore, only one to three (adjacent)
variable regions are amplified. In the medical context, many 16S rRNA-based genotyping
protocols focus on V1–V3, V3–V4, or the V4 regions, while, for instance, V5–V6 or V6–V8
are used more often in other fields (e.g., soil samples). Of note, despite their name, the
invariable regions are also not completely fixed and primer bias occurs, since some primers
may or may not bind certain taxa [
56
]. Novel long-read sequencers may cover the entire
length of the 16S-rRNA gene, which can increase species-level resolution [
57
]. In any case,
after sequencing, the data are used to identify and categorize microbial profiles for alpha
and beta diversity and further advanced analyses (see [
58
] on Type 2 diabetes as example).
Finally, a note of caution. Detecting bacteria, which may cause aneurysms but are only
present in low numbers using an amplicon-based approach, is challenging [
59
,
60
]. For
instance, the placenta microbiome has turned out to be purely due to contamination [
61
].
Future research must therefore use proper controls and care to avoid false conclusions.
Metagenome sequencing: This approach is an untargeted approach; i.e., where possi-
ble, the complete DNA of a given sample is isolated, fragmented, and sequenced (shotgun
sequencing; [
54
]). Due to its untargeted nature, it could, in principle, detect all organisms
present; however, this is limited by sequencing depth. For instance, biopsies might contain
too-low numbers of bacteria and their DNA is “drowned” in human DNA. In contrast,
in stool samples, where primarily only bacteria are found, one can uncover the genes,
pathways, and metabolic functions existing within the community [
62
]. However, this still
is limited, since the function of about 40–60% of the genes present in a given sample cannot
be functionally predicted [
63
]. Nevertheless, deep-sequenced metagenome samples are
certainly helpful in detecting bacteria, which might cause or have caused an aneurysm
(see below).
3. The Gut Microbiome and Intracranial Aneurysm Formation and Rupture
While several studies have investigated the microbiome’s influence on stroke
[1719,64]
,
there are limited data on the role of the microbiome in IA formation and rupture. The
studies discussed here are depicted in Table 1.
Int. J. Mol. Sci. 2024,25, 48 5 of 14
Table 1. Overview of studies on the gut microbiome and IAs.
Study Type Medium Intervention Aim Method Result
Shikata et al.,
2019 [52]
interventional
study mice
gut depletion by
antibiotics in mice
with IA induction
vs. mice with
normal gut and
IA induction
- number and
rupture rate of
IAs;
- number of
macrophages in
IA tissue;
- mRNA levels of
cytokines in IA
tissue.
- immunohisto-
chemistry;
- RT-PCR.
- gut depletion reduced the
incidence of IA (83% vs. 6%,
p< 0.001) and rupture;
- macrophage infiltration
and mRNA levels of
inflammatory cytokines
were reduced with gut
depletion.
Li et al.,
2020 [65]
case–control
study
- humans
- mice
- analysis of fecal
samples of 140
UIA and 140
control patients;
- 20 mice treated
with UIA patient
feces and 20
treated
with control feces.
- comparison of
gut microbiome
of patients with
UIAs and
without;
- test, if changes
in the gut
microbiota
influence the
progression of
UIAs in vivo.
- metagenomic
shotgun
sequencing;
- serum
metabolomic
analysis.
-Bacteroides ssp., Odoribacter
splanchnicus,Clostridium ssp.
were significantly enriched
in the UIAs;
-Hungatella hathewayi was
enriched in the control
group;
- microbiome of UIAs was
significantly dominated by
unsaturated fatty acid
biosynthesis;
- microbiome of controls was
dominated by amino acid
synthesis;
- treatment with feces from
UIA patients increased the
overall incidence of IAs
(85% vs. 45%; p= 0.019) and
rupture rate (82% vs. 22%;
p= 0.009);
- serum concentrations of 2
of 8 fatty acids and 8 of
38 amino acids differed in
mice transplanted with feces
from UIA patients and
controls.
Kawabata et al.,
2022. [66]
multicenter,
prospective
case–control
humans
analysis of fecal
samples of 28
RAs vs. 33 UIAs
comparison of
gut microbiome
of patients with
UIAs and RAs
16S rRNA
sequencing
- gut microbiome profile of
UIAs and RAs were
significantly different;
-Campylobacter ssp. and
Campylobacter ureolyticus
were significantly higher in
the RA group.
He et al.,
2023. [67]
two-sample
Mendelian
randomization
study
humans
database analysis
of gut
microbiome of
patients with IA,
UIA, SAH
association
between the gut
microbiome and
the risk of
IA, UIA, and SAH
inverse variance
weighting
approach
- Candidatus Soleaferrea
decreased the risk of IA;
-Holdemania and Olsenella
increased risk of IA;
- Lentisphaeria,
Porphyromonadaceae,
Bilophila,Fusicatenibacter,
Ruminococcus sp. 1,
Victivallales decreased risk
of SAH;
- Streptococcaceae increased
risk of SAH;
- Porphyromonadaceae,
Bilophila decreased the risk
of UIA;
- Oxalobacteraceae,
Adlercreutzia,
Intestinimonas,Victivallis
increased the risk of UIA.
Int. J. Mol. Sci. 2024,25, 48 6 of 14
Table 1. Cont.
Study Type Medium Intervention Aim Method Result
Ma et al.,
2023. [68]
two-sample
Mendelian
randomization
study
humans
database
analysis of gut
microbiome of
UIA patients
association
between the gut
microbiome
and the risk of
UIA
inverse
variance
weighting
approach
-Clostridia,
Rhodospirillaceae,
Adlercreutzia,Sutterella,
Victivallis,Streptococcus,
Peptostreptococcaceae
increased risk of UIA;
-Oscillospira,
Paraprevotella decreased
the risk of UIA.
IA = intracranial aneurysm, UIA = unruptured intracranial aneurysm, RA = ruptured intracranial aneurysm,
SAH = subarachnoid hemorrhage, RT-PCR = real time polymerase chain reaction, sp. = species (sg.);
ssp. = species (pl.).
Kawabata et al. [
66
] observed significant differences in the gut microbiome between
patients with unruptured intracranial aneurysms (UIAs) and those with ruptured intracra-
nial aneurysms (RAs). The relative abundance of Campylobacter, especially Campylobacter
ureolyticus, was larger in the RA group compared to the UIA group [
66
]. Nevertheless, it is
well-established that brain injuries, such as ischemic stroke and ICH, can already have an
impact on the gut microbiome [
69
], which raises uncertainty about whether the distinctions
between the groups were influenced by the stress associated with SAH or had already
manifested prior to the onset of SAH. A cause–effect relationship between Campylobacter
and aneurysm rupture could not be shown.
In a database analysis of the gut microbiome of patients with UIAs and Ras, He
et al. [
67
] identified three bacterial traits causally related to IAs and six bacterial traits
related to UIAs (Table 1). Six bacterial traits were causally related to a decreased risk of
subarachnoid hemorrhage (SAH) (Table 1).
Another Mendelian randomization study by Ma et al. [
68
] indicated bacteria with
beneficial and detrimental effects on IAs as well (Table 1). However, both studies did not
reflect other individual risk factors.
Nevertheless, these three studies reveal significant differences in the composition
of the microbiome between patients with unruptured and ruptured IAs. They can even
identify specific protective or non-protective bacterial species, suggesting that certain
microbiome compositions could potentially serve as biomarkers for the risk of an aneurysm
rupture in the future. However, correlation does not automatically imply causation. To
identify biomarkers in the microbiome for the multifactorial event of a ruptured IA, it is
necessary to explore the causes of the observed changes in the microbiome, to understand
the mechanisms of signaling and interaction of the microbiome and the host, and to take
into account ethnic variations in the composition of the microbiome [
70
] and other patient-
specific risk factors.
Li et al. [
65
] observed that patients with UIAs had significant differences in their
microbiome composition compared to healthy patients. They also found differences in
metabolic pathways in the microbiome and differences in circulating amino acids between
UIA patients and healthy controls. Moreover, transplanting feces from UIA patients into
mice increased the incidence and rupture rate of IAs compared to mice treated with control
feces, while supplementation with taurine significantly reduced the aneurysm formation
and rupture rate. This study strongly indicates a role of the microbiome and of taurine on
the formation and rupture of IAs. However, the exact mechanism could not be identified.
Moreover, results from mice models should be transferred to the more complex human
context extremely carefully.
Int. J. Mol. Sci. 2024,25, 48 7 of 14
Shikata et al. [
52
] demonstrated that gut depletion by antibiotics significantly reduced
the incidence and rupture rate of IAs in mice, accompanied by a decrease in macrophages
within the aneurysm wall and reduced levels of IL-1
β
, IL-6, and inducible nitric oxide
synthase. Undoubtedly, this study indicates an influence of the microbiome on the devel-
opment of IAs and the associated inflammatory response. However, the following aspects
should be discussed: (I) The authors themselves acknowledge that they cannot explain the
exact mechanism through which the microbiome affects IA formation. They could only
rule out a direct migration of the bacteria into the cerebral arteries, as they did not find any
bacterial DNA in the vessels. (II) The gut microbiota was eliminated by a combination of
four antibiotics. However, these drugs themselves could have an influence on IA formation
and the observed inflammatory response. (III) Antibiotic application not only depletes
the gut microbiome but also microbiota in other sites, which also could contribute to the
observed effects. (IV) Results from mice models are generated in a highly controlled setting
that should be kept in mind when extrapolating the results to patients in a much more
complex setting.
4. The Oral Microbiome and Intracranial Aneurysm Formation and Rupture
The literature on the role of the oral microbiome in intracranial aneurysm formation is
limited. Table 2gives an overview.
Table 2. Overview of studies on the oral microbiome and IAs.
Study Type Medium Intervention Aim Method Result
Pyysalo et al.,
2013. [71]
prospective
cohort study humans
analysis of RA
tissue of
36 patients with
SAH
assess the
presence of oral
and pharyngeal
bacterial
genome in RAs
qRT-PCR
- bacterial DNA was
detected in 21/36 (58%);
- DNA from endodontic
bacteria was detected in
20/36 (56%) and from
periodontal bacteria in 17/36
(47%);
- DNA of the
Streptococcus-mitis group
was the most common.
Pyysalo et al.,
2016. [72]
prospective
cohort study humans
analysis of RA
tissue of
42 patients and
UIA tissue of
28 patients,
tissue from
healthy vessels
and cardiac
by-pass
operations as
controls
assess the
presence of oral
and pharyngeal
bacterial DNA
in RAs and
UIAs
qRT-PCR
- bacterial DNA was
detected in 49/70 (70%);
- 29/42 (69%) of the RA
tissue and 20/28 (71%) of the
UIA tissue contained
bacterial DNA of oral origin;
- RA and UIA samples
contained significantly more
bacterial DNA than control
samples.
Pyysalo et al.,
2018. [73]
prospective
cohort study humans
analysis of
tissue from
gingival
pockets of
30 patients with
RA and 60 with
UIA
assess the
presence of
dental
infectious foci
and
odontogenic
bacteria in
patients
before surgical
treatment of IA
qRT-PCR
- total of 43% had gingival
pockets of 6 mm or deeper;
- bacterial and Fusobacterium
nucleatum DNA were
significantly higher in the
patients with 6 mm
gingival pockets than
patients without them.
Int. J. Mol. Sci. 2024,25, 48 8 of 14
Table 2. Cont.
Study Type Medium Intervention Aim Method Result
Inenaga et al.,
2018. [74]
prospective
cohort study humans
analysis of
saliva from
48 patients with
CES, 151 with
non-CES infarct,
54 with ICH, 43
with RA, and 97
with UIA vs.
79 healthy
controls
assess the rate
of
Streptococcus
mutans
with collagen-
binding protein,
Cnm, in CES,
non-CES infarct,
ICH, RA, and
UIA
PCR
- significantly high
Cnm-positive rate was
observed in CES, non-CES
infarct, ICH and RA
compared to controls.
Aboukais
et al.,
2019. [75]
prospective
cohort study humans
analysis of IA
tissue from
10 patients with
RA and 20 with
UIA, samples
from STA, dura
mater, and
MCA as control
assess the
presence of
bacteria in the
walls of UIAs
and RAs
PCR
- no bacterial presence was
found in the wall of
aneurysms.
Hallikainen
et al.,
2019. [76]
case series,
case–control,
prospective
study
humans
oral
examination of
42 patients with
UIAs and 34
RAs compared
to 5170 from
prospective
database
association of
periodontitis
with IA
formation and
SAH
multivariate
logistic
regression
- periodontitis, severe
periodontitis, and gingival
bleeding increased the risk
of IAs significantly;
severe periodontitis in
3 teeth or gingival
bleeding increased the risk
of SAH significantly.
Hallikainen
et al.,
2021. [77]
prospective
cohort study humans
analysis of
serum of 227 IA
patients,
compared to
1096 from
prospective
database
association of
IgA and IgG
against
Porphyromonas
gingivalis and
Aggregatibacter
actinomycetem-
comitans with
IA and SAH
ELISA
- high IgA against
P. gingivalis and A.
actinomycetemcomitans
increased the risk of IA and
SAH significantly;
- high IgG levels against
P. gingivalis and A.
actinomycetemcomitans
decreased the risk of IA and
SAH significantly.
Hallikainen
et al.,
2023. [78]
case–control,
prospective
study
humans
oral
examination of
60 patients with
UIA and 30
with RA
compared to
5144 from
prospective
database
association of
caries with IA
formation and
SAH
multivariate
logistic
regression
- caries does not increase the
risk of IAs and SAH.
RA = ruptured intracranial aneurysm, UIA = unruptured intracranial aneurysm, SAH = subarachnoid hemor-
rhage, ICH = intracerebral hemorrhage, CES = cardioembolic stroke, qRT-PCR = real time quantitative poly-
merase chain reaction, STA = superficial temporal artery, MCA = middle meningeal artery, sp. = species (sg.),
ssp. = species (pl.).
Int. J. Mol. Sci. 2024,25, 48 9 of 14
Pyysalo et al. [
73
] performed a dental examination of 89 patients before elective surgery
for an IA. They detected gingiva pockets
6 mm as dental infection foci in 43% of patients.
Moreover, total bacterial and Fusobacterium nucleatum DNA was significantly higher in
patients with
6 mm gingival pockets than in patients without them. Nonetheless, it is
important to note that these data do not permit us to draw any conclusion regarding a
causal link between this observation and the formation of IAs.
In another study, Pyysalo et al. [
71
] detected DNA from endodontic and periodontal
bacteria in 56% (20/36) and 47% (17/36) of tissue samples from ruptured IAs, respectively.
The most frequently identified DNA belonged to the Streptococcus mitis group. Another
study by Pyysalo et al. [
72
] found oral bacterial DNA in 69% (29/42) of ruptured and in 71%
(20/28) of unruptured IA samples. Both tissue types contained significantly more bacterial
DNA than control samples from non-atherosclerotic vessels walls. While these findings sug-
gest a potential association between oral pathogens and IA formation, Aboukais et al. [
75
]
could not detect bacterial DNA in any sample from ten ruptured and 20 unruptured IAs.
A recently published review by Kennedy et al. [
79
] warns against interpreting studies
with bacterial detection from low-biomass tissue. Their analysis of studies on the presence
of bacteria in intrauterine prenatal tissue revealed that this is most likely contamination.
Similarly, in the case of brain tissue, which is regarded as low-to-zero-biomass tissue, there
is a high risk of results being distorted by contamination.
Hallikainen et al. [
76
] found that periodontitis was significantly associated with IAs
and significantly increased the risk of SAH, while caries did not [
78
]. The association of
periodontitis with the risk of IA formation and SAH was independent of gender, smoking
status, hypertension, or alcohol abuse. The authors suggest the following mechanism:
As periodontitis can accelerate the activation and mobilization of circulating neutrophils
or monocytes, resulting in a generalized inflammatory response, it has the potential to
influence the progression of cerebral artery remodeling and aneurysm pathology. This
influence may render the artery more susceptible to aneurysm development and rupture.
The lack of an association of caries with IAs and SAH could be explained by the fact
that caries, contrary to periodontitis, does not predispose to bacteremia. In the case of
periodontitis, there is a vulnerable surface of the gingiva that serves as an entry point for
bacteria into the systemic circulation.
Another study by Hallikainen et al. [
77
] detected that serum IgA antibody levels
against the two key periodontal pathogens, Porphyromonas gingivalis and Aggregatibacter
actinomycetemcomitans, were significantly higher in patients with IAs compared to control
patients. In a multivariate analysis, high IgA serum antibody levels against P. gingivalis and
A. actinomycetemcomitans were significantly associated with a higher risk of IA formation
and rupture, while IgG serum antibody levels against the same pathogens were signifi-
cantly associated with a lower risk. Regarding this discrepancy, the authors provide the
following rationale [
77
]: IgA levels predominantly signify recent or recurrent encounters
with P. gingivalis and A. actinomycetemcomitans, whereas IgG levels are indicative of the
development or triggering of an acquired immune response to these pathogens. Reduced
IgG levels observed in IA patients may arise from several potential factors. One explanation
is the capacity of P. gingivalis and A. actinomycetemcomitans to evade complement-mediated
immune activation. Alternatively, it is conceivable that individuals may have developed
immunity in response to prolonged pathogen exposure, without a concomitant increase in
IgG levels. Furthermore, it is plausible that the quantity of circulating bacteria or bacterial
metabolites/fragments may be insufficient to stimulate a significant elevation in IgG levels.
Nonetheless, a limitation of this investigation lies in the exclusive measurement of IgA
and IgG levels in serum, with no concurrent isolation of bacteria from the oral cavity.
Furthermore, the study did not find any correlation between the clinical oral condition and
the levels of serum antibodies.
Int. J. Mol. Sci. 2024,25, 48 10 of 14
Inenaga et al. [
74
] identified a significantly higher rate of Streptococcus mutans with
collagen-binding protein, a bacterium with hemorrhagic characteristics, such as the ac-
tivation of MMPs, in the saliva of patients with stroke, intracerebral hemorrhage, and
ruptured intracranial aneurysm compared to a healthy control group. However, this was
not a matched comparison, so the difference could be due to confounding factors.
5. Conclusions
The available evidence suggests that the gut and oral microbiome may play a role in the
formation and rupture of IAs. Several studies have identified associations between oral and
gut bacteria, periodontitis, gut microbiota depletion, unsaturated fatty acid biosynthesis,
and IA pathophysiology. However, most studies are limited by a small sample size, the
lack of matched controls, or are based on animal models, which hinder their ability to
establish causality. The process of aneurysm formation in humans is complex and involves
multiple factors, including genetics and exposure to risk factors. Animal aneurysm models
are artificially generated and cannot reflect all these factors sufficiently.
6. Future Directions
In the field of chronic inflammatory bowel diseases and cancer, promising strategies
have already emerged in the context of utilizing the microbiome [
80
,
81
]. Notably, fecal
microbiota transplantation, which involves transferring fecal material containing distal
gut microbiota from a healthy donor to a patient with an imbalanced gut microbiota,
has been established as an effective therapy for recurrent Clostridioides difficile (former
Clostridium difficile) colitis. Furthermore, the European Society of Clinical Microbiology and
Infectious Diseases (ESCMID) has granted approval for the utilization of fecal microbiota
transplantation in cases of recurrent diarrhea following antibiotic-associated diarrhea [
80
].
In the field of cancer research, there are numerous approaches to enhance the response to
immunotherapy through the transplantation of various bacterial strains [81].
For IAs, further research is necessary to elucidate the exact mechanisms by which
the gut and oral microbiome influence IA formation and rupture in humans. Prospective
cohort studies and randomized controlled trials would provide higher-quality evidence
for assessing these relationships. Moreover, the bias of contamination has to be addressed
through a thorough experimental design. Understanding the role of the microbiome could
potentially lead to new preventive strategies and therapeutic interventions for IAs.
Author Contributions: Conceptualization, M.W., V.R. and B.M.; methodology, A.-K.J.; data curation,
A.-K.J.; writing—original draft preparation, A.-K.J. and M.W.; writing—review and editing, A.-K.J.,
M.W., B.M., C.A., A.W., K.N. and V.R.; supervision, M.W. and B.M. All authors have read and agreed
to the published version of the manuscript.
Funding: This research received no external funding.
Institutional Review Board Statement: Not applicable.
Informed Consent Statement: Not applicable.
Data Availability Statement: All data are provided in the text.
Conflicts of Interest: The authors declare no conflict of interest.
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... Last, little is known about the putative link between IA and GID, but it could be shown that depending on the gut and oral microbiota, there was either a protective or potential negative influence on the appearance of hemorrhagic stroke and IA pathophysiology in general (Joerger et al. 2023;Shen et al. 2023;Zhang et al. 2024). Despite the limited knowledge about the direct link between GID and IA, a substantial body of research supports the hypothesis of a strong influence/promotion of GID on neurological diseases, such as migraine, epilepsy, Parkinson's disease, cerebrovascular diseases, or multiple sclerosis (Barcellos et al. 2006;Casella et al. 2013;J. ...
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Objective The size of unruptured intracranial aneurysms (UIA) remains the most crucial risk factor for treatment decisions. On the other side, there is a non‐negligible portion of small ruptured IA and large stable UIA. This study aimed to identify the patients' characteristics related to IA size in the context of IA rupture status. Methods A total of 2152 patients, with 1002 being hospitalized for an acute aneurysmal subarachnoid hemorrhage (SAH), were included from our institutional IA database. Different demographic and clinical characteristics of patients and IA were collected. IA size was the study endpoint, assessed as continuous variable in univariate and multivariable linear regression analysis, separately for ruptured (R) IA and UIA. Results The mean IA size was 8.3 and 7.3 mm in the UIA and RIA subpopulations, respectively. Higher age (p = 0.003) and baseline blood urea level (p < 0.001) were independently associated with increasing UIA size. In contrast, location at the posterior circulation (p < 0.001), familiar intracranial aneurysms (p < 0.001), serum potassium (p = 0.006), and total serum protein (p = 0.019) were related to smaller UIA size in the multivariate analysis. For RIA, a statistically significant and independent association was detected for location (p = 0.019), history of gastrointestinal diseases (p = 0.042), and levothyroxine intake (p = 0.002). Conclusions Identification of clinical characteristics related to the size of ruptured and unruptured IA allows a more differentiated view on the genesis of RIA and UIA and the value of sack size as a basis for therapeutic decision‐making. More research is needed to verify the identified risk factors.
Article
Background: Subarachnoid hemorrhage (SAH) risk increases with intracranial aneurysms (IA), but their relationship remains unclear. Methods: We explored SAH-IA links using machine learning and bioinformatics, identifying 66 IA-related SAH genes. KEGG analysis highlighted pathways like NF-κB, TNF, and COVID-19. Results: Two immune-related genes (ZNF281, LRRN3) were identified, and a ceRNA network was constructed. Ten potential SAH-IA drugs were screened via CMAP. Conclusion: ZNF281 and LRRN3 may regulate immune pathways (T cells, NK cells, macrophages), influencing IA-related SAH development, and could serve as therapeutic targets.
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Objective To investigate the potential causal link between genetic variants associated with gut microbiome and risk of intracranial aneurysm (IA) using two-sample mendelian randomization (MR). Methods We performed two sets of MR analyses. At first, we selected the genome-wide statistical significant(P < 5 × 10–8) single nucleotide polymorphisms (SNPs) as instrumental variables (IVs). Then, we selected the locus-wide significant (P < 1 × 10–5) SNPs as IVs for the other set of analyses to obtain more comprehensive conclusions. Gut microbiome genetic association estimates were derived from a genome-wide association study (GWAS) of 18,473 individuals. Summary-level statistics for IA were obtained from 79,429 individuals, which included 7,495 cases and 71,934 controls. Results On the basis of locus-wide significance level, inverse variance weighted(IVW) showed that Clostridia [(odds ratio (OR): 2.60; 95% confidence interval (CI): 1.00—6.72, P = 0.049)], Adlercreutzia (OR: 1.81; 95% CI: 1.10—2.99, P = 0.021) and Victivallis (OR: 1.38; 95% CI: 1.01—1.88, P = 0.044) were positively related with the risk of unruptured intracranial aneurysm(UIA); Weighted median results of MR showed Oscillospira (OR: 0.37; 95% CI: 0.17—0.84, P = 0.018) was negatively with the risk of UIA and Sutterella (OR: 1.84; 95% CI: 1.04—3.23, P = 0.035) was positively related with the risk of UIA; MR-Egger method analysis indicated that Paraprevotella (OR: 0.32; 95% CI: 0.13—0.80, P = 0.035) was negatively with the risk of UIA and Rhodospirillaceae (OR: 13.39; 95% CI: 1.44—124.47, P = 0.048) was positively related with the risk of UIA. The results suggest that Streptococcus (OR: 5.19; 95% CI: 1.25—21.56; P = 0.024) and Peptostreptococcaceae (OR: 4.92; 95% CI: 1.32—18.32; P = 0.018) may increase the risk of UIA according to genome-wide statistical significance thresholds. Conclusion This MR analysis indicates that there exists a beneficial or detrimental causal effect of gut microbiota composition on IAs.
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Introduction: The causal association between the gut microbiome and the risk of intracranial aneurysm (IA), subarachnoid hemorrhage (SAH), and unruptured aneurysm (uIA) is unclear. Methods: The single nucleotide polymorphisms concerning gut microbiome were retrieved from the gene-wide association study (GWAS) of the MiBioGen consortium. The summary-level datasets of IA and SAH were obtained from the GWAS meta-analysis of the International Stroke Genetics Consortium (ISGC). Inverse variance weighting (IVW) was utilized as the primary method, complemented with sensitivity analyses for pleiotropy and increasing robustness. Results: Five, seven, and six bacterial traits were found to have a causal effect on IA, SAH, and uIA, respectively (IVW, all P < 0.05). Family.Porphyromonadaceae and genus.Bilophila were common protective bacterial features for both SAH and uIA. The heterogeneity and pleiotropy analyses confirmed the robustness of IVW results. Conclusion: Our study demonstrates that gut microbiomes may exert therapeutic effects on IA, uIA, and SAH, providing clinical implications for the development of novel biomarkers and therapeutic targets.
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Background: Large-scale human and mechanistic mouse studies indicate a strong relationship between the microbiome-dependent metabolite trimethylamine N-oxide (TMAO) and several cardiometabolic diseases. This study aims to investigate the role of TMAO in the pathogenesis of abdominal aortic aneurysm (AAA) and target its parent microbes as a potential pharmacological intervention. Methods: TMAO and choline metabolites were examined in plasma samples, with associated clinical data, from 2 independent patient cohorts (N=2129 total). Mice were fed a high-choline diet and underwent 2 murine AAA models, angiotensin II infusion in low-density lipoprotein receptor-deficient (Ldlr-/-) mice or topical porcine pancreatic elastase in C57BL/6J mice. Gut microbial production of TMAO was inhibited through broad-spectrum antibiotics, targeted inhibition of the gut microbial choline TMA lyase (CutC/D) with fluoromethylcholine, or the use of mice genetically deficient in flavin monooxygenase 3 (Fmo3-/-). Finally, RNA sequencing of in vitro human vascular smooth muscle cells and in vivo mouse aortas was used to investigate how TMAO affects AAA. Results: Elevated TMAO was associated with increased AAA incidence and growth in both patient cohorts studied. Dietary choline supplementation augmented plasma TMAO and aortic diameter in both mouse models of AAA, which was suppressed with poorly absorbed oral broad-spectrum antibiotics. Treatment with fluoromethylcholine ablated TMAO production, attenuated choline-augmented aneurysm initiation, and halted progression of an established aneurysm model. In addition, Fmo3-/- mice had reduced plasma TMAO and aortic diameters and were protected from AAA rupture compared with wild-type mice. RNA sequencing and functional analyses revealed choline supplementation in mice or TMAO treatment of human vascular smooth muscle cells-augmented gene pathways associated with the endoplasmic reticulum stress response, specifically the endoplasmic reticulum stress kinase PERK. Conclusions: These results define a role for gut microbiota-generated TMAO in AAA formation through upregulation of endoplasmic reticulum stress-related pathways in the aortic wall. In addition, inhibition of microbiome-derived TMAO may serve as a novel therapeutic approach for AAA treatment where none currently exist.
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Background Takayasu arteritis (TAK) is an autoimmune large vessel vasculitis that affects the aorta and its major branches, eventually leading to the development of aortic aneurysm and vascular stenosis or occlusion. This retrospective and prospective study aimed to investigate whether the gut dysbiosis exists in patients with TAK and to identify specific gut microorganisms related to aortic aneurysm formation/progression in TAK. Methods We analysed the faecal microbiome of 76 patients with TAK and 56 healthy controls (HCs) using 16S ribosomal RNA sequencing. We examined the relationship between the composition of the gut microbiota and clinical parameters. Results The patients with TAK showed an altered gut microbiota with a higher abundance of oral-derived bacteria, such as Streptococcus and Campylobacter, regardless of the disease activity, than HCs. This increase was significantly associated with the administration of a proton pump inhibitor used for preventing gastric ulcers in patients treated with aspirin and glucocorticoids. Among patients taking a proton pump inhibitor, Campylobacter was more frequently detected in those who underwent vascular surgeries and endovascular therapy for aortic dilatation than in those who did not. Among the genus of Campylobacter, Campylobacter gracilis in the gut microbiome was significantly associated with clinical events related to aortic aneurysm formation/worsening in patients with TAK. In a prospective analysis, patients with a gut microbiome positive for Campylobacter were significantly more likely to require interventions for aortic dilatation than those who were negative for Campylobacter. Furthermore, patients with TAK who were positive for C. gracilis by polymerase chain reaction showed a tendency to have severe aortic aneurysms. Conclusions A specific increase in oral-derived Campylobacter in the gut may be a novel predictor of aortic aneurysm formation/progression in patients with TAK.
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Inflammation plays a part in the development of abdominal aortic aneurysm (AAA), and the gut microbiota affects host inflammation by bacterial translocation. The relationship between abdominal aortic aneurysm and the gut microbiota remains unknown. This study aimed to detect bacterial translocation in the aneurysmal wall and blood of patients with abdominal aortic aneurysm, and to investigate the effect of the gut microbiota on abdominal aortic aneurysm. We investigated 30 patients with abdominal aortic aneurysm from 2017 to 2019. We analysed the aneurysmal wall and blood using highly sensitive reverse transcription-quantitative polymerase chain reaction, and the gut microbiota was investigated using next-generation sequencing. In the 30 patients, bacteria were detected by reverse transcription- quantitative polymerase chain reaction in 19 blood samples (detection rate, 63%) and in 11 aneurysmal wall samples (detection rate, 37%). In the gut microbiota analysis, the Firmicutes/Bacteroidetes ratio was increased. The neutrophil-lymphocyte ratio was higher (2.94 ± 1.77 vs 1.96 ± 0.61, P < 0.05) and the lymphocyte-monocyte ratio was lower (4.02 ± 1.25 vs 5.86 ± 1.38, P < 0.01) in the bacterial carrier group than in the bacterial non-carrier group in blood samples. The volume of intraluminal thrombus was significantly higher in the bacterial carrier group than in the bacterial non-carrier group in aneurysmal wall samples (64.0% vs 34.7%, P < 0.05). We confirmed gut dysbiosis and bacterial translocation to the blood and aneurysmal wall in patients with abdominal aortic aneurysm. There appears to be a relationship between the gut microbiota and abdominal aortic aneurysm.
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Purpose Periodontal diseases and caries are common oral diseases that predispose to tooth loss if untreated. In this study, we investigated whether loss of teeth or caries associate with intracranial aneurysm (IA) pathology similar to periodontal diseases. Methods A total of 166 patients with either IA or aneurysmal subarachnoid hemorrhage (aSAH) underwent oral examination in Kuopio University Hospital and Tampere University Hospital. Findings were compared to geographically matched controls acquired from cross-sectional Health2000 survey. This study consisted of three sequential steps. First, we compared the number of missing teeth and prevalence of caries in IA and aSAH patients and geographically matched control population, second step was a multivariate analysis including other risk factors, and third step was a 13-year follow-up of the Health2000 survey participants with missing teeth or caries at baseline. Results Loss of teeth did not significantly differ between IA patients and controls. In logistic regression model adjusted for known risk factors and demographic data, 1–4 caries lesions (OR: 0.40 95%Cl 0.2–0.9, p = 0.031) was associated with lack of IAs, while age (OR: 1.03 95%Cl 1.01.1 p = 0.024), current smoking (OR: 2.7 95%Cl 1.4–5.1, p = 0.003), and severe periodontitis (OR: 5.99 95%Cl 2.6–13.8, p < 0.001) associated to IA formation. In the cox-regression, severe periodontitis at baseline increased the risk of aSAH (HR: 14.3, 95%Cl 1.5–135.9, p = 0.020) during a 13-year follow-up, while caries or missing teeth did not. Conclusion Unlike severe periodontitis, caries does not increase the risk of IAs and aSAHs. However, cariogenic bacteria may participate to IA pathology by disseminating to circulation via inflamed gingival tissue.
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The high morbidity, mortality, and disability rates associated with cerebrovascular disease (CeVD) pose a severe danger to human health. Gut bacteria significantly affect the onset, progression, and prognosis of CeVD. Gut microbes play a critical role in gut-brain interactions, and the gut-brain axis is essential for communication in CeVD. The reflection of changes in the gut and brain caused by gut bacteria makes it possible to investigate early warning biomarkers and potential treatment targets. We primarily discussed the following three levels of brain-gut interactions in a systematic review of the connections between gut microbiota and several cerebrovascular conditions, including ischemic stroke, intracerebral hemorrhage, intracranial aneurysm, cerebral small vessel disease, and cerebral cavernous hemangioma. First, we studied the gut microbes in conjunction with CeVD and examined alterations in the core microbiota. This enabled us to identify the focus of gut microbes and determine the focus for CeVD prevention and treatment. Second, we discussed the pathological mechanisms underlying the involvement of gut microbes in CeVD occurrence and development, including immune-mediated inflammatory responses, variations in intestinal barrier function, and reciprocal effects of microbial metabolites. Finally, based on the aforementioned proven mechanisms, we assessed the effectiveness and potential applications of the current therapies, such as dietary intervention, fecal bacterial transplantation, traditional Chinese medicine, and antibiotic therapy.
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Genes of unknown function are among the biggest challenges in molecular biology, especially in microbial systems, where 40%-60% of the predicted genes are unknown. Despite previous attempts, systematic approaches to include the unknown fraction into analytical workflows are still lacking. Here, we present a conceptual framework, its translation into the computational workflow AGNOSTOS and a demonstration on how we can bridge the known-unknown gap in genomes and metagenomes. By analyzing 415,971,742 genes predicted from 1,749 metagenomes and 28,941 bacterial and archaeal genomes, we quantify the extent of the unknown fraction, its diversity, and its relevance across multiple organisms and environments. The unknown sequence space is exceptionally diverse, phylogenetically more conserved than the known fraction and predominantly taxonomically restricted at the species level. From the 71M genes identified to be of unknown function, we compiled a collection of 283,874 lineage-specific genes of unknown function for Cand . Patescibacteria (also known as Candidate Phyla Radiation, CPR), which provides a significant resource to expand our understanding of their unusual biology. Finally, by identifying a target gene of unknown function for antibiotic resistance, we demonstrate how we can enable the generation of hypotheses that can be used to augment experimental data.
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Whether the human fetus and the prenatal intrauterine environment (amniotic fluid and placenta) are stably colonized by microbial communities in a healthy pregnancy remains a subject of debate. Here we evaluate recent studies that characterized microbial populations in human fetuses from the perspectives of reproductive biology, microbial ecology, bioinformatics, immunology, clinical microbiology and gnotobiology, and assess possible mechanisms by which the fetus might interact with microorganisms. Our analysis indicates that the detected microbial signals are likely the result of contamination during the clinical procedures to obtain fetal samples or during DNA extraction and DNA sequencing. Furthermore, the existence of live and replicating microbial populations in healthy fetal tissues is not compatible with fundamental concepts of immunology, clinical microbiology and the derivation of germ-free mammals. These conclusions are important to our understanding of human immune development and illustrate common pitfalls in the microbial analyses of many other low-biomass environments. The pursuit of a fetal microbiome serves as a cautionary example of the challenges of sequence-based microbiome studies when biomass is low or absent, and emphasizes the need for a trans-disciplinary approach that goes beyond contamination controls by also incorporating biological, ecological and mechanistic concepts. This Perspective reviews the evidence for and against the existence of a fetal microbiome and concludes that detected microbial signals are most likely the result of contamination, suggesting that the ‘sterile womb’ hypothesis is correct.
Article
Background: Abdominal aortic aneurysm (AAA) is a life-threatening cardiovascular disease characterized by dilated abdominal aorta. Immune cells have been shown to contribute to the development of AAA, and that the gut microbiota is associated with numerous diseases, including cardiovascular diseases, by regulating immune systems or metabolic pathways of the host. However, the interaction between the gut microbiota and AAA remains unknown. Methods: Apolipoprotein E-deficient male mice were fed a high-cholesterol diet and divided into three groups: the control group was maintained under normal water (control group), the oral AVNM group was maintained under drinking water supplemented with ampicillin, vancomycin, neomycin, and metronidazole, and the i.p. AVNM group was injected AVNM intraperitoneally. After 1 week of pretreatment with antibiotics, these mice were administrated Ang II via subcutaneous osmotic pumps for 4 weeks and euthanized to evaluate AAA formation. Results: Depletion of gut microbiota by oral AVNM ameliorated the incidence of AAAs (control group: 58.9% versus oral AVNM group: 28.6% versus i.p. AVNM group: 75.0%, P = 0.0005) and prevented death due to ruptured aneurysms (control group: 11% versus oral AVNM group: 0% versus i.p. AVNM group: 15%). Oral AVNM suppressed monocyte storage in the spleen, but not in other organs. Despite possessing a higher level of cholesterol, recruitment of monocytes into the suprarenal aorta was suppressed in the oral AVNM group. In AVNM drinking mice, NOD1 ligand, a kind of PRR ligands, increased the development of AAAs and accumulation of macrophages in the aortae. Conclusions: The gut microbiota plays a critical role in AAA formation. Therefore, regulation of the microbiota or the immune system can be a therapeutic approach for AAA.