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Detection of Antibodies against Human and Plant Aquaporins in Patients with Multiple Sclerosis

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Multiple sclerosis (MS) is an autoimmune disease that affects the body’s central nervous system. Around 90% of MS sufferers are diagnosed with relapsing-remitting MS (RRMS). We used ELISA to measure IgG, IgA, and IgM antibodies against linear epitopes of human and plant aquaporins (AQP4) as well as neural antigens in RRMS patients and controls to determine whether patients suffering from RRMS have simultaneous elevations in antibodies against these peptides and antigens. In comparison to controls, significant elevations in isotype-specific antibodies against human and plant AQP4 and neural antigens such as MBP, MOG, and S100B were detected in RRMS patients, indicating a high correlation in antibody reaction between plant aquaporins and brain antigens. This correlation between the reactivities of RRMS patients with various tested antigens was the most significant for the IgM isotype. We conclude that a subclass of patients with RRMS reacts to both plant and human AQP4 peptides. This immune reaction against different plant aquaporins may help in the development of dietary modifications for patients with MS and other neuroimmune disorders.
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Research Article
Detection of Antibodies against Human and Plant Aquaporins in
Patients with Multiple Sclerosis
Aristo Vojdani,1,2 Partha Sarathi Mukherjee,3Joshua Berookhim,1and Datis Kharrazian2,4
1Immunosciences Lab., Inc., 822 S. Robertson Boulevard, Suite 312, Los Angeles, CA 90035, USA
2Department of Preventive Medicine, Loma Linda University, 24785 Stewart Street, Loma Linda, CA 92354, USA
3DepartmentofMathematics,BoiseStateUniversity,1910UniversityDrive,Boise,ID83725,USA
4Department of Clinical Sciences, Bastyr University California, 4106 Sorrento Valley Boulevard, San Diego, CA 92121, USA
Correspondence should be addressed to Aristo Vojdani; drari@msn.com
Received  April ; Revised  July ; Accepted  July 
Academic Editor: Corrado Betterle
Copyright ©  Aristo Vojdani et al. is is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Multiple sclerosis (MS) is an autoimmune disease that aects the body’s central nervous system. Around % of MS suerers are
diagnosed with relapsing-remitting MS (RRMS). We used ELISA to measure IgG, IgA, and IgM antibodies against linear epitopes
of human and plant aquaporins (AQP) as well as neural antigens in RRMS patients and controls to determine whether patients
suering from RRMS have simultaneous elevations in antibodies against these peptides and antigens. In comparison to controls,
signicant elevations in isotype-specic antibodies against human and plant AQP and neural antigens such as MBP, MOG, and
SB were detected in RRMS patients, indicating a high correlation in antibody reaction between plant aquaporins and brain
antigens. is correlation between the reactivities of RRMS patients with various tested antigens was the most signicant for the
IgM isotype. We conclude that a subclass of patients with RRMS reacts to both plant and human AQP peptides. is immune
reaction against dierent plant aquaporins may help in the development of dietary modications for patients with MS and other
neuroimmune disorders.
1. Introduction
Multiple sclerosis (MS) is characterized by the demyelination
of a nerve’s protective myelin sheaths in the brain and spi-
nal cord, which occurs due to inammation and attack by
the body’s own immune system [,]. is myelin damage
disrupts the communication between the brain and the rest
of the body. Symptoms may include fatigue, vertigo, cog-
nitive impairment, focal cortical decits, unilateral painful
loss of vision, postural and action tremor, dysarthria, limb
incoordination and gait ataxia, diplopia, oscillopsia, pseu-
dobulbar palsy, and bladder dysfunction. In , the United
States National Multiple Sclerosis Society described  clinical
courses of the disease []. In , this set of courses was
reviewed by an international panel [], resulting in the recog-
nition of  main phenotypes of MS. e rst type, relapsing-
remitting multiple sclerosis (RRMS), aects around % of
people who have MS. e dening elements of RRMS are
episodes of acute worsening of neurologic function followed
by a variable degree of recovery, with a stable course between
attacks []. e remaining % have one of these three
progressive forms: secondary progressive (SPMS), primary
progressive (PPMS), and progressive relapsing (PRMS).
Aquaporin  (AQP) is a class of water channels found in
many cells of the body including the stomach, brain, lung, and
skeletal muscle []. AQP is the predominant water channel
in the central nervous system and is expressed in ependy-
mocytes, endothelial cells, and astrocyte foot processes at
the blood-brain barriers (BBB), but not in neurons [,].
In the brain, AQP is believed to have a role in maintaining
homeostasis and water exchange, electrical activity, and
modulation of neuronal transmission and excitability [,].
Neuromyelitis optica (NMO), or Devic’s disease, is a
severe inammatory demyelinating disorder that aects the
white and gray matter in the brain and is classically restricted
totheopticnervesandspinalcord[]. Studies have
Hindawi Publishing Corporation
Autoimmune Diseases
Volume 2015, Article ID 905208, 10 pages
http://dx.doi.org/10.1155/2015/905208
Autoimmune Diseases
shown that a majority of patients with NMO produce anti-
bodies against the extracellular domain of human AQP [
]. NMO meets all the formal criteria for an autoimmune
etiology [].
Although MS and NMO are now recognized as two dis-
tinct illnesses [,] for years similar clinical manifestations
led to one being misdiagnosed as the other or led some to
think that NMO was a severe form of MS. e introduction of
the NMO antibody permitted clearer dierentiation between
the two disorders and increased the accuracy of diagnosis
[].
In NMO lesions, products of complement cascade are
found within astrocytes and macrophages []. Furthermore,
using the immunouorescence method and human AQP
transfected cell lines, a disease-specic antibody against
extracellular domains of human AQP designated as NMO-
IgG has been detected in the blood of patients [,].
e binding of IgG1to human AQP, in conjunction with
complement activation, leads to a loss of human AQP func-
tionality in lesions through complement-dependent cyto-
toxicity, tissue damage, and demyelination of the spinal
cord and optic nerve, followed by opening of the BBB [].
Since IgG1against human AQP is produced in the blood,
its access to the extracellular space of the CNS is greater
when the BBB is compromised, which allows the antibodies
to reach their target tissue []. is can lead to many
complications, ranging from mild sensory disturbances to
complete transverse myelitis with tetraplegia or paraplegia,
sensory impairments, bladder-bowel dysfunction, and more
[,].
A variety of plant cells contain aquaporins, through
which water can ow more rapidly inside the cells than by
diusing through the phospholipid bilayers []. In fact, 
plant aquaporin families have been structurally and func-
tionally well-studied and characterized [,]. A recent
study showed a signicant similarity between the amino
acid sequences of soy, spinach, corn, tomato, and tobacco
with human aquaporin epitope – []. Furthermore,
using ELISA, the researchers found that, in comparison to
non-NMO samples, the NMO IgG serum reacted to both
human and corn aquaporin peptides. However, that study
was conducted by measuring only IgG in serum collected
from  conrmed NMO patients,  probable NMO patient,
and  non-NMO controls. Previous studies, including our
own, have demonstrated that IgM and IgA antibodies have
been detected against myelin basic protein (MBP), myelin
oligodendrocyte glycoprotein (MOG), and other neural anti-
gens in subgroups of patients suering from MS and other
neurologic disorders []. In fact, in a study on the
importance of antibodies against myelin antigens in demyeli-
nation, Egg et al. showed that while IgG antibodies against
MOG were %, IgM antibodies against MOG were the
highest at %, while IgA had a respectable level at % [].
Given the overlapping symptomatologies between NMO and
MS, in this present study we extended the investigation
to IgG, IgM, and IgA isotype antibody reactivity against 
dierent plant sequences using  patients with RRMS. By
measuring antibodies against MBP, MOG, and SB along
with human and plant aquaporins, we wanted to examine
the association between the elevation in antibodies against
plant aquaporins and neural antigens in patients with RRMS
[]. We hypothesized that, due to exposure to environ-
mental proteins, antibodies to the linear epitopes of AQP
peptides from humans and plants are detected in patients
with RRMS. ese ndings warrant further investigation into
the role of the environment in RRMS.
2. Material and Methods
2.1. Controls and MS Patients’ Sera. Based on MRI scans,
which show focal or conuent abnormalities in the brains
white matter, and clinical examinations that show a pattern
of attack, complete or partial remission, and then a relapse
at a future date, patients were classied as having RRMS and
ranged from  to  years of age (male : female,  : ). We
chose only sera taken from patients upon their diagnosis or
not more than  months aer the initial diagnosis. ese
samples were purchased from Sanguine BioSciences, Inc.
(Valencia, CA, USA) and BioServe (Beltsville, MD, USA).
For comparison,  serum samples with matching age and
sex from healthy donors were purchased from Innovative
Research Inc. (Southeld, MI, USA). ese individuals were
qualied to donate blood based on a health questionnaire
provided by the Food and Drug Administration (FDA). Each
individual at the time of blood draw also did not exhibit any
health complaints. Each blood sample was tested according
to FDA guidelines for the detection of hepatitis B surface
antigen, antibodies to HIV, antibodies to hepatitis C, HIV-
RNA,hepatitisCRNA,andsyphilis.Noneofthesamples
were positive for these antibodies or viral RNA.
2.2. Antigens and Peptides. MBP was purchased from Sigma
Aldrich (St. Louis, MO); SB was obtained from EMD
Biosciences (San Diego, CA); human and plant aquaporin
peptides, MOG peptide – with a purity of greater than
%, and ovalbumin peptide – were ordered from
Bio-Synthesis Inc. (Lewisville, TX). Monoclonal antibodies
made against various aquaporin peptides were purchased
from Sigma Aldrich (St. Louis, MO).
2.3. Detection of IgG, IgM, and IgA Antibodies by Enzyme
Linked Immunosorbent Assay. MBP, SB protein, MOG,
and aquaporin peptides at a concentration of . mg/mL were
each diluted  :  in . M carbonate-bicarbonate buer, pH
.; 𝜇L was added to each well of a polystyrene at-bottom
ELISA plate. Plates were incubated overnight at Candthen
washed three times with  𝜇L phosphate-buered saline
(PBS) containing .% Tween , pH .. e nonspecic
binding of immunoglobulins was prevented by adding %
BSA in PBS and incubated overnight at C. Plates were
washed as described above, and then serum samples from
controls and RRMS patients were diluted  :  in . M PBS
Tween containing % BSA, then added to duplicate wells,
and incubated for  hour at room temperature. Plates were
washed, and then alkaline phosphatase goat anti-human IgG,
IgM, or IgA antibody (Jackson ImmunoResearch Laborato-
ries, Inc. (West Grove, PA)) at an optimal dilution of : 
Autoimmune Diseases
IgA,  :  IgG, and IgM in % BSA-PBS was added to
each well; plates were incubated for an additional  hour at
room temperature. Aer washing six times with PBS-Tween
buer,theenzymereactionwasstartedbyadding𝜇L
of phosphatase substrate in .mL of diethanolamine buer
of  mg/mL containing  mM MgCl2and sodium azide, pH
.. e reaction was stopped  minutes later with  𝜇Lof
N NaOH. e optical density (OD) was read at  nm by
means of a microplate reader. Several control wells containing
human serum albumin or ovalbumin peptide – were
used for detection of nonspecic binding.
2.4.DeterminationofSpecicityofAntibodyAssay. For the
determination of the specicity of the AQP antibody reac-
tion, serial dilutions of sera as well as inhibition studies were
conducted using specific and nonspecic antigens.
Dierent sera with high levels of IgG, IgM, or IgA
antibodies against each aquaporin were diluted serially from
 :  to  :  and then applied to ELISA plates coated with
the same peptide. Aer completion of the ELISA procedure,
the recorded ODs were used for the generation of curves.
For inhibition,  dierent sera with a very high titer
of IgG, IgA, or IgM antibody against human AQP were
used in the inhibition study. In dierent test tubes, mL of
 :  diluted sera sample was preincubated with  𝜇Lof
diluent containing either 𝜇gHSAorhumanAQPor
spinach, tomato, soy, or corn aquaporins. Aer mixing, the
tubes were kept for  hour at Cwaterbathfollowedby
-hourincubationat
C and then centrifuged at  g for
 mins. e supernatant was used for measuring IgG, IgA,
or IgM antibody level against human AQP, before and aer
absorption with dierent aquaporins.
2.5. Coecients of Intra- and Interassay Variation. Coe-
cients of intra-assay variation were calculated by running
ve samples eight times within a single assay. Coecients of
interassay variation were determined by measuring the same
samples in six consecutive assays. is replicate testing estab-
lished the validity of the ELISA, determined the appropriate
dilution with minimal background, and detected serum IgG,
IgM, and IgA against dierent aquaporins. Coecients of
intra- and interassay variations for IgG, IgM, and IgA against
all tested aquaporins were less than %.
2.6. Reaction of Antibody against AQP4 Peptides with Various
AQP4. For measuring anti-AQP reactivity with dierent
AQPpeptides,weusedELISAsimilartoIgG,IgM,andIgA
detection. Aside from the fact that mouse serum was used
instead of human serum and the secondary antibody was
enzyme-labeled anti-mouse IgG, all the other steps were the
same.
2.7. Statistical Analysis. We rst calc u l a t e d P e a r s o n’s corre-
lation coecient between each isotype (lgG, lgA,. and lgM)
of the food proteins (soy aquaporin, corn aquaporin, tomato
aquaporin, and spinach aquaporin) and similar isotype of
brainprotein(MBP,MOG,SB,andhumanaquaporin)
in RRMS patients. Next, we performed simple regression
analysis between each of those combinations and calculated
their 𝑝values. If a 𝑝valueislessthan.,wecon-
clude that particular isotype of food protein signicantly
elevates similar isotype of that particular brain protein.
Finally, we performed a two-way cluster analysis of Pearsons
correlation coecients between the antibody against food
peptides and the brain proteins in RRMS patients. We
performed all statistical analyses in the statistical soware “R”
(http://www.r-project.org/).
3. Results
3.1. Detection of Antibodies. Sera from  patients with RRMS
and  healthy controls were evaluated by ELISA to measure
IgG, IgA, and IgM antibodies against both plant and human
aquaporins, MBP, MOG, and SB. Results presented as low
and high OD values with the mean ±standard deviation
(SD) are summarized in Tab l e  .eODsforIgGantibody
values obtained with  :  dilution of healthy control sera
ranged from . to ., varying according to subjects and
antigens (Figures ). e mean ±SD of these values ranged
from 0.52 ± 0.26 to 0.81 ± 0.36. e corresponding IgG OD
values for the sera from RRMS patients ranged from .
to ., while the mean ±SD ranged from 0.91 ± 0.45 to
1.15 ± 0.48 (Table ). For the levels of IgG antibody against
almost all the eight tested antigens, the dierences in mean ±
SD in patients versus controls were highly signicant (𝑝<
0.0001)(Figure ).eresultsforIgAantibodiesagainst
neural antigens and various aquaporins in the sera of controls
and RRMS patients are also shown in Tab l e  ,aswellasin
Figure . e levels of serum IgA antibodies against all tested
antigens were also signicantly higher in patients than in
controls. e mean ±SD for controls ranged from 0.49±0.20
to 0.67 ± 0.34.emean±SD for patients ranged from
0.76 ± 0.54 to 1.11 ± 0.68. e levels of IgM antibody against
the neural antigens and plant aquaporins were also examined
in both groups. e individual test results shown in Figure ,
as well as the mean ±SD depicted in Tabl e ,showedeven
more signicant dierences between the control and patient
groups, with all eight antigens showing 𝑝 < 0.0001.We
examinedthedatabasedonmaleandfemalesubjectsandalso
found a signicant dierence between male patients versus
male controls and female patients versus female controls
(𝑝 < 0.0001). However, no signicant dierence was detected
between male and female patients (𝑝 > 0.05).
3.2. Statistical Analysis of the Data for Investigating Association
between the Food Proteins and the Brain Proteins in RRMS
Patients. We tested whether there were signicant associa-
tions between the elevations of each antibody isotype (IgG,
IgA, and IgM) of the brain proteins (MBP, MOG, SB, and
human aquaporin) with the corresponding antibody isotype
ofthefoodproteins(soy,corn,tomato,andspinachaqua-
porins) in RRMS patients. We tted simple linear regression
models between each such pair, and calculated the 𝑅2values
and the 𝑝values. e summary of the results is presented in
Autoimmune Diseases
T : Measurement of antibodies against MBP, MOG, SB, human AQP, soy AQP, corn AQP, tomato AQP, and spinach AQP in controls (C) and patients (P) with RRMS expressed
by ELISA optical densities and mean ±SD.
MBP (OD) MOG (OD) SB (OD) Human AQP (OD) Soy AQP (OD) Corn AQP (OD) Tomato AQP (OD) Spinach AQP (OD)
CPCPCP C P CPCP C P CP
IgG
Low . . . . . . . . . . . . . . . .
High . . . . . . . . . . . . . . . .
Mean ±. . . . . . . . . . . . . . . .
±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±.
𝑝value <. <. <. . <.<. <. <.
IgA
Low . . . . . . . . . . . . . . . .
High . . . . . . . . . . . . . . . .
Mean ±. . . . . . . . . . . . . . . .
±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±.
𝑝value . <. . <. . . . .
IgM
Low . . . . . . . . . . . . . . . .
High . . . . . . . . . . . . . . . .
Mean ±. . . . . . . . . . . . . . . .
±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±. ±.
𝑝value <. <. <. <. <. <. <. <.
Autoimmune Diseases
MS versus control MBP, MOG, S100 B, human AQP4,
and spinach aquaporin, IgG
soy aquaporin, corn aquaporin, tomato aquaporin,
Optical density at 450nm
0
0.5
1
1.5
2
2.5
3
0
MBP
MOG
S100B
HAQP4
Soy AQP4
Corn AQP4
Tom at o AQ P4
Spinach AQP4
F : IgG antibody values of RRMS patients (blue diamond)
versus controls (red circle): MBP, MOG, SB, human AQP, soy
aquaporin, corn aquaporin, tomato aquaporin, and spinach aqua-
porin. e levels of serum IgG antibodies against almost all tested
antigens were signicantly higher in patients than in controls.
3.5
MS versus control MBP, MOG, S100 B, human AQP4,
and spinach aquaporin, IgA
soy aquaporin, corn aquaporin, tomato aquaporin,
0
Optical density at 450nm
0.5
1
1.5
2
2.5
3
0
MBP
MOG
S100B
HAQP4
Soy AQP4
Corn AQP4
Tom at o AQ P4
Spinach AQP4
F : IgA antibody values of RRMS patients (blue diamond)
versus controls (red circle): MBP, MOG, SB, human AQP, soy
aquaporin, corn aquaporin, tomato aquaporin, and spinach aqua-
porin. e levels of serum IgA antibodies against all tested antigens
were signicantly higher in patients than in controls.
Tables ,and . From the tables we see that all of those
food proteins signicantly elevate similar isotypes of those
four brain proteins or peptides in RRMS patients. Figure 
presents the result of a two-way cluster analysis of Pearsons
correlation coecients between the food and brain proteins
or peptides where we see that IgG, IgA, and IgM isotypes are
3.5
MS versus control MBP, MOG, S100 B, human AQP4,
and spinach aquaporin, IgM
soy aquaporin, corn aquaporin, tomato aquaporin,
0
Optical density at 450nm
0.5
1
1.5
2
2.5
3
0
MBP
MOG
S100B
HAQP4
Soy AQP4
Corn AQP4
Tom at o AQ P4
Spinach AQP4
F : IgM antibody values of RRMS patients (blue diamond)
versus controls (red circle): MBP, MOG, SB, human AQP, soy
aquaporin, corn aquaporin, tomato aquaporin, and spinach aqua-
porin. e levels of serum IgM antibodies against all tested antigens
showed even more signicant dierences between the control and
patient groups, with all eight antigens showing 𝑝 < 0.0001.
clustered together with high correlations among the food and
brain proteins or peptides in each isotype. While there was
a correlation between the reactivities of the MS patients’ sera
to neural cell antigens and plant aquaporins, the dierences
in IgM antibody reactivity between the two groups was the
most signicant (Figure ).
3.3. Specicity of Antibodies. In order to demonstrate speci-
city of detected antibody and to rule out nonspecic
reaction, in addition to neural cell antigens and aquaporins,
all sera were reacted with wells coated with HSA and OVA
peptide –, followed by the addition of all reagents in
the ELISA. ODs for all tested sera, aer reaction with HSA or
OVA peptide, were less than .. Additionally, serial dilution
of  : – :  of sera with high levels of antibodies against
each aquaporin was performed. Results depicted in Figures
showed that, in proportion to dilution, a signicant
decline in antibody reactivity was observed.
In addition, inhibition by specic and nonspecic antigen
was conducted by the addition of either HSA, human AQP,
or each plant aquaporin to three dierent sera with a very
high level of IgG antibody against human AQP. e data
summarized in Figure  show that while HSA did not cause
any inhibition of human anti-AQP binding to ELISA wells
coatedwithhumanAQP,theadditionofhumanAQPand
corn, spinach, tomato, and soy aquaporins to the same sera
resulted in inhibition of antibody-antigen reaction by %,
%, %, %, and %, respectively (Figure ).
Autoimmune Diseases
S100B IgA
MOG IgA
Human AQP IgA
MBP IgA
S100B IgG
MOG IgG
Human AQP IgG
MBP IgG
S100B IgM
MOG IgM
Human AQP IgM
MBP IgM
Soy AQP IgM
Corn AQP IgM
Spinach AQP IgM
Tomato AQP IgM
Soy AQP IgG
Corn AQP IgG
Spinach AQP IgG
Tomato AQP IgG
Soy AQP IgA
Corn AQP IgA
Spinach AQP IgA
Tomato AQP IgA
−0.95 0 0.95
F : IgA, IgM, and IgG isotypes are clustered together with
high correlations among the aquaporin peptides and brain proteins
in each isotype.
0
0.5
1
1.5
2
2.5
1: 100 1 : 200 1 : 400 1 : 800 1 : 1600 1 : 3200
Dilution factor
Antibody levels expressed as
optical density at 405nm
F : Serial dilution of IgG (blue diamond), IgA (green tri-
angle), and IgM (red square) antibody against AQP.
4. Discussion
In an earlier study [], it was shown that several proteins in
nature have a signicant similarity in sequence and structure
to human AQP. e researchers found that IgG from the
sera of patients with NMO cross-reacted with a sequence
found in plant aquaporins and that this reactivity was much
higher in NMO patients than in controls. However, only
patientsandcontrolswereinvolvedinthisstudy[],
and no IgM or IgA antibody measurements were done. For
this reason, we wanted to examine whether or not this
0
0.5
1
1.5
2
2.5
1: 100 1 : 200 1 : 400 1 : 800 1 : 1600 1 : 3200
Dilution factor
Antibody levels expressed as
optical density at 405nm
F : Serial dilution of IgG (blue diamond), IgA (green trian-
gle), and IgM (red square) antibody against tomato.
0
0.5
1
1.5
2
2.5
1: 100 1 : 200 1: 400 1: 800 1 : 1600 1 : 3200
Dilution factor
Antibody levels expressed as
optical density at 405nm
F : Serial dilution of IgG (blue diamond), IgA (green trian-
gle), and IgM (red square) antibody against soy.
3
0
0.5
1
1.5
2
2.5
1: 100 1 : 200 1: 400 1 : 800 1 : 1600 1: 3200
Dilution factor
Antibody levels expressed as
optical density at 405nm
F : Serial dilution of IgG (blue diamond), IgA (green trian-
gle), and IgM (red square) antibody against corn.
Autoimmune Diseases
0
0.5
1
1.5
2
2.5
1: 100 1: 200 1 : 400 1 : 800 1 : 1600 1 : 3200
Dilution factor
Antibody levels expressed as
optical density at 405nm
F : Serial dilution of IgG (blue diamond), IgA (green trian-
gle), and IgM (red square) antibody against spinach.
0
0.5
1
1.5
2
2.5
HAQP4 Spinach
AQP4 AQP4
Tom a t o
AQP4
Soy
AQP4
Corn HSA
Optical density 405 nm
F : Inhibition of human AQP IgG antibody with human
AQP, spinach AQP, tomato AQP, soy AQP, corn AQP, and
HSA. Controls = blue column; patients = red column.
immunoreactivity to aquaporins is unique to NMO or could
also be detected in patients with RRMS. erefore, we studied
IgG, IgM, and IgA isotype antibodies in the sera of  patients
withRRMSagainsthumanAQP,againstplantAQPfrom
soy,corn,spinach,andtomato,andagainstneuralantigens
such as MBP, MOG, and SB.
Elevation in antibodies against MBP, MOG, and alpha-
B-crystallin have been shown as an aid in the diagnosis and
prognosis of MS [,].
SB and AQP are both astrocytic proteins that enter
the bloodstream when there is a disruption of the BBB. is
entry of SB and AQP into the bloodstream can result in
the production of antibodies against them [].
Based on these studies, we tested the presence of antibod-
ies against human and plant aquaporins in RRMS patients
and examined their correlation with other brain-specic
antibodies detected in a subgroup of MS. As shown in Figures
and Table , a signicant percentage of RRMS patients
showed elevation not only in antibodies against human AQP
and the aquaporins of soy, corn, tomato, and spinach, but also
against MBP, MOG, and SB. At this point, it is not known
whether the antibodies are reacting rst to human AQP
and then cross-reacting with plant AQP or vice versa. ere
is always a possibility that this reaction against the specic
AQP peptides used in this study is an epiphenomenon. We
think, however, that this probability is slight, not only because
we detected elevations against human and plant aquaporins
and also against MBP, MOG, and SB, but because we also
detected very high correlations between the aquaporins and
the neural antigens.
To test this association between the elevations of antibod-
ies against MBP, MOG, SB, human AQP, and plant aqua-
porins, we used a simple linear regression model between
each such pair and calculated 𝑅2values and 𝑝values (Tables
). Data presented in these tables show 𝑅2of . to
. for IgG, . to . for IgA, and . to . for
IgM.isregressionanalysissuggestsarelationshipbetween
antibodies against the food and brain proteins and peptides
with the highest correlation between SB and soy AQP.
e relationship between each antibody is also shown in
a -way cluster analysis of Pearson’s correlation coecients
between the food and brain proteins. Each isotype antibody
is clustered together with high correlations between the
food and brain antibodies, with the IgM antibody reactivity
betweenthegroupsbeingthemostsignicant(Figure ).
To support the importance of these AQP antigenic epi-
topes in immunoreactivity, we used  dierent commercially
available monoclonal antibodies made against human AQP
aa –, AQP aa –, and AQP aa –, and
reacted them with human and plant AQP peptides described
in the Vaishnav study []. Only antibody made against
peptide aa – reacted strongly against both human and
all  plant aquaporins. Antibody against peptide aa –
resultedinweakreactivityagainsthuman,corn,andsoy
aquaporins, while antibody made against peptide aa – did
not react at all with any of the AQP peptides used in our
study. is shows heterogeneity in antibody reaction against
various AQP epitopes.
Another study by Iorio et al. []foundthatantibody
against AQP extracellular loop peptide aa – was also
restricted to patients with NMO. is peptide was not used
in either the Vaishnav et al. study []orthispresentstudy.
Using antibody bound to live M and M cells, Iorio’s group
found that while NMO serum bound to % of the AQP in
live cell membranes, only % of the NMO sera reacted with
peptides originating from loops A, C, and E using ELISA and
Western Blot, with the detected loop C antibody being highly
specic to NMO.
erefore, for the dierentiation of NMO from classic
MS, RRMS, and other neuroimmune disorders, it is crucial
to use live cell or tissue-based assays employing native AQP,
rather than assays utilizing peptides selected from extracel-
lular or intracellular loops. However, these assays could not
be used for cross-reactivity studies between plant proteins
and human tissue antigens and as aids in possible dietary
manipulation in autoimmune disorder treatment protocols.
In sum, while cell-based assays for AQP IgG antibodies
are more specic to NMO, our present study shows that IgG,
Autoimmune Diseases
T : Results of the simple linear regression between each pair of lgG isotypes of the food proteins and brain proteins in RRMS patients.
e rst number in each cell presents corresponding Pearson’s correlation coecient and the second number in parentheses presents its 𝑝
value. Small 𝑝values (less than .) are marked in bold. Note that 𝑅2values of these regressions are the squares of Pearson’s correlation
coecients.
IgG MBP (OD) MOG (OD) SB (OD) Human AQP (OD)
Soy AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Corn AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Tomato AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Spinach AQP . (<0.0001) . (<0.0001) .(<0.0001) . (<0.0001)
T : Results of the simple linear regression between each pair of lgA isotypes of the food proteins and brain proteins in RRMS patients.
e rst number in each cell presents corresponding Pearson’s correlation coecient and the second number in parentheses presents its 𝑝
value. Small 𝑝values (less than .) are marked in bold. Note that 𝑅2values of these regressions are the squares of Pearson’s correlation
coecients.
IgA MBP (OD) MOG (OD) SB (OD) Human AQP (OD)
Soy AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Corn AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Tomato AQP . (<0.0001) . (<0.0001) . (<0.0001) .(<0.0001)
Spinach AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
T : Results of the simple linear regression between each pair of lgM isotypes of the food proteins and brain proteins in MS patients. e
rst number in each cell presents corresponding Pearson’s correlation coecient and the second number in parentheses presents its 𝑝value.
Small 𝑝values (less than .) are marked in bold. Note that 𝑅2values of these regressions are the squares of Pearsons correlation coecients.
IgM MBP (OD) MOG (OD) SB (OD) Human AQP (OD)
Soy AQP . (<0.0001) . (<0.0001) .(<0.0001) . (<0.0001)
Corn AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Tomato AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
Spinach AQP . (<0.0001) . (<0.0001) . (<0.0001) . (<0.0001)
IgA, and, in particular, IgM antibodies against AQP peptides
canalsobedetectedinpatientswithMS.Itispossible
that exposure to epitopes that resemble human AQP from
exogenous sources such as plants may play a role in the
etiology of RRMS and possibly other autoimmune disor-
ders. Although an association between plant antigens and
autoimmune diseases has been previously suggested for celiac
disease, lupus, scleroderma, type I diabetes, and MS [
], there is need for further evaluation of the role of plant
proteins in the generation of cross-reactive antibodies against
human AQP, SB, MOG, and MBP and the consequent
development of RRMS and other neuroimmune disorders.
is may help in the development of dietary guidelines
for dietary modications for patients with neuroimmune
disorders.
Conflict of Interests
e authors declare that there is no conict of interests
regarding the publication of this paper.
Authors’ Contribution
Aristo Vojdani designed the study, performed some of the
experiments, and wrote the paper. Datis Kharrazian per-
formedsomeoftheimmunologicalassaysandhelpedindata
interpretation. Partha Sarathi Mukherjee did the statistical
analysis and helped in writing the paper. Joshua Berookhim
helped in the performance of the ELISA.
Acknowledgment
e authors would like to thank Joel Bautista for his work with
some of the gures and in typing and editing the paper.
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Autoimmune Diseases
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... (43). On the other hand, an increased antibody (IgG) titer to certain plant antigens, like those in soybean and corn, has also been r e p o r t e d i n a s u b s e t of p a t i e n t s wi t h au t o i m m u n e neuroinflammation (44). Furthermore, this reactivity has been attributed to the expression of aquaporins (AQPs) in plants that are known to facilitate the transport of water and sustain plant life (44). ...
... On the other hand, an increased antibody (IgG) titer to certain plant antigens, like those in soybean and corn, has also been r e p o r t e d i n a s u b s e t of p a t i e n t s wi t h au t o i m m u n e neuroinflammation (44). Furthermore, this reactivity has been attributed to the expression of aquaporins (AQPs) in plants that are known to facilitate the transport of water and sustain plant life (44). Plant AQPs have been shown to share homology with human aquaporins (45,46), in particular AQP4, which is a known autoantigen in the neuroimmune disorder neuromyelitis optica (NMO) (47). ...
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Introduction Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system (CNS). The pathophysiology of MS is complex and is said to be influenced by multiple environmental determinants, including diet. We and others have previously demonstrated how consumption of bovine milk can aggravate disease severity in MS patients, which can be explained by molecular mimicry between milk antigens and those expressed within the CNS. In this study we set out to identify alternatives to drinking cow milk which might be less detrimental to MS patients who have a genetic predisposition towards developing antibody titers against bovine milk antigens that cross-react with CNS antigens. Methods To this end, we screened 35 patients with MS and 20 healthy controls for their IgG reactivity against an array of animal-sourced milk, plant-based alternatives as well as individual antigens from bovine milk. Results We demonstrate that MS patients have a significantly higher IgG response to animal-sourced milk, especially cow milk, in comparison to healthy donors. We also show that the reactivity to cow milk in MS patients can be attributed to reactivity against different bovine milk antigens. Finally, our correlation data indicate the co-existence of antibodies to individual bovine milk antigens and their corresponding cross-reactive CNS antigens. Discussion Taken together, we suggest screening of blood from MS patients for antibodies against different types of milk and milk antigens in order to establish a personalized diet regimen.
... In our own lab, we measured antibodies against plant and human aquaporins in blood samples from patients with multiple sclerosis, and found significant elevations in antibodies against different AQP4 plant peptides and neuronal antigens such as MBP, MOG, and S100B [173], as shown in Figure 16. These results supported the involvement of food source aquaporins in neuroimmune disorders, and this information may help in the development of dietary modifications for patients with NMO, MS, and other autoimmune disorders of the nervous system. ...
... Similarly, this review also examined foods such as wheat, milk, aquaporins, lectins, and agglutinins. We showed that molecular mimicry or peptide sequence homology is a common mechanism for immune reactivity and ADs, as we have shown chain correspondence between wheat components and neuronal antigens, between milk proteins and islet cells, and between plant aquaporins and human aquaporins [23][24][25][26][27][28]30,32,126,152,173]. We showed that 86 out of 180 foods cross-reacted with human α-synuclein [187], and that more than 50 out of 204 tested food antigens cross-reacted with thyroid target sites and tissues associated with type 1 diabetes [208,209]. ...
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Autoimmune diseases affect 5–9% of the world’s population. It is now known that genetics play a relatively small part in the pathophysiology of autoimmune disorders in general, and that environmental factors have a greater role. In this review, we examine the role of the exposome, an individual’s lifetime exposure to external and internal factors, in the pathophysiology of autoimmune diseases. The most common of these environmental factors are toxic chemicals, food/diet, and infections. Toxic chemicals are in our food, drink, common products, the air, and even the land we walk on. Toxic chemicals can directly damage self-tissue and cause the release of autoantigens, or can bind to human tissue antigens and form neoantigens, which can provoke autoimmune response leading to autoimmunity. Other types of autoimmune responses can also be induced by toxic chemicals through various effects at the cellular and biochemical levels. The food we eat every day commonly has colorants, preservatives, or packaging-related chemical contamination. The food itself may be antigenic for susceptible individuals. The most common mechanism for food-related autoimmunity is molecular mimicry, in which the food’s molecular structure bears a similarity with the structure of one or more self-tissues. The solution is to detect the trigger, remove it from the environment or diet, then repair the damage to the individual’s body and health.
... Because in our earlier studies we had shown that antibodies specific to both SARS-CoV-2 and food reacted with a variety of human tissue antigens (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(30)(31)(32), in this study we hypothesized that many food proteins and peptides may share homology with SARS-CoV-2 proteins, and thus immune reaction against food proteins may be protective against SARS-CoV-2 infection. To test this hypothesis, we applied monoclonal antibody against SARS-CoV-2 spike protein to 180 different food proteins or peptides. ...
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It has been shown that SARS-CoV-2 shares homology and cross-reacts with vaccines, other viruses, common bacteria and many human tissues. We were inspired by these findings, firstly, to investigate the reaction of SARS-CoV-2 monoclonal antibody with different pathogens and vaccines, particularly DTaP. Additionally, since our earlier studies have shown immune reactivity by antibodies made against pathogens and autoantigens towards different food antigens, we also studied cross-reaction between SARS-CoV-2 and common foods. For this, we reacted monoclonal and polyclonal antibodies against SARS-CoV-2 spike protein and nucleoprotein with 15 different bacterial and viral antigens and 2 different vaccines, BCG and DTaP, as well as with 180 different food peptides and proteins. The strongest reaction by SARS-CoV-2 antibodies were with DTaP vaccine antigen, E. faecalis, roasted almond, broccoli, soy, cashew, α+β casein and milk, pork, rice endochitinase, pineapple bromelain, and lentil lectin. Because the immune system tends to form immune responses towards the original version of an antigen that it has encountered, this cross-reactivity may have its advantages with regards to immunity against SARS-CoV-2, where the SARS-CoV-2 virus may elicit a “remembered” immune response because of its structural similarity to a pathogen or food antigen to which the immune system was previously exposed. Our findings indicate that cross-reactivity elicited by DTaP vaccines in combination with common herpesviruses, bacteria that are part of our normal flora such as E. faecalis, and foods that we consume on a daily basis should be investigated for possible cross-protection against COVID-19. Additional experiments would be needed to clarify whether or not this cross-protection is due to cross-reactive antibodies or long-term memory T and B cells in the blood.
... Three days following the onset of delirium, antibodies to MBP were higher in patients than in controls, according to the latter investigation. Human aquaporin 4 (AQP4) water channels are detected in endothelial cells, the blood-brain barrier (BBB) and astrocytes and upregulation of AQP4 is related to dehydration and cerebral edema, both of which are risk factors for delirium [26,27]. Following BBB and neuronal injuries, proteins such as AQP4, MBP and myelin oligodendrocyte glycoprotein (MOG), a transmembrane protein that regulates myelination and is expressed only by oligodendrocytes, may translocate to the bloodstream and mount immunoglobin (Ig) IgA/IgG antibody production against these antigens [25]. ...
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Reactivity to neural tissue epitopes, aquaporin 4 and heat shock protein 60 is associated with activated immune-inflammatory pathways and the onset of delirium following hip fracture surgery.
... However, in the circumstances of disrupted BBB due to various environmental, stress-related, or inflammatory factors circulating antibodies against AQP may react with astrocytes' endfeet leading to autoimmunity and further disruption of BBB [228]. Interestingly, patients with MS have higher levels of serum antibodies against human and plant AQP which is believed to contribute to increased BBB and autoimmunity in MS [229]. Also, autoimmunity against AQP4 is a clinical feature of another demyelinating inflammatory disorder-neuromyelitis optica (NMO)-restricted to the spinal cord and optic nerves. ...
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Full-text available
There is robust evidence that major depression (MDD) is accompanied by a low-grade activation of the immune-inflammatory response system, which is involved in the pathophysiology of this disorder. It is also becoming apparent that glia cells are in reciprocal communication with neurons, orchestrate various neuromodulatory, homeostatic, metabolic, and immune mechanisms, and have a crucial role in neuroinflammatory mechanisms in MDD. Those cells mediate the central nervous system (CNS) response to systemic inflammation and psychological stress, but at the same time, they may be an origin of the inflammatory response in the CNS. The sources of activation of the inflammatory response in MDD are immense; however, in recent years, it is becoming increasingly evident that the gastrointestinal tract with gut-associated lymphoid tissue (GALT) and increased intestinal permeability to bacterial LPS and food-derived antigens contribute to activation of low-grade inflammatory response with subsequent psychiatric manifestations. Furthermore, an excessive permeability to gut-derived antigenic material may lead to subsequent autoimmunities which are also known to be comorbid with MDD. In this review, we discuss fascinating interactions between the gastrointestinal tract, increased intestinal permeability, intestinal microbiota, and glia-neuron cross talk, and their roles in the pathogenesis of the inflammatory hypothesis of MDD. To emphasize those crucial intercommunications for the brain functions, we propose the term of microbiota-gut-immune-glia (MGIG) axis.
... AQP4 is believed to be involved in maintaining and regulating the brain's functions. These same water channel cells are found in plants and bacteria; some studies indicate that homology between human AQP4 and non-human AQP4 and the resulting molecular mimicry may have a role in the development of some neuroautoimmune diseases [98,99]. There is also evidence indicating the involvement of intestinal aquaporin in early stage IBD and in the degrading of the intestinal barrier's integrity [97,100,101]. ...
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Full-text available
Individuals with intestinal barrier dysfunction are more prone to autoimmunity. Lipopolysaccharides (LPS) from gut bacteria have been shown to play a role in systemic inflammation, leading to the opening of the gut and blood-brain barrier (BBB). This study aims to measure antibodies against LPS and barrier proteins in samples positive for anti-Saccharomyces cerevisiae antibodies (ASCA) and anti-neutrophil cytoplasmic antibodies (ANCA) and compare them with these same antibodies in controls to determine whether a correlation between LPS and barrier proteins could be found. We obtained 94 ASCA- and 94 ANCA-positive blood samples, as well as 188 blood samples from healthy controls. Samples were assessed for antibodies to LPS, zonulin+occludin, S100B, and aquaporin-4 (AQP4). Results show significant elevation in antibodies in about 30% of ASCA- and ANCA-positive sera and demonstrate positive linear relationships between these antibodies. The findings suggest that individuals positive for ASCA and ANCA have increased odds of developing intestinal and BBB permeability compared to healthy subjects. The levels of LPS antibodies in both ASCA- and ANCA-positive and negative specimens showed from low and moderate to high correlation with antibodies to barrier proteins. This study shows that LPS, by damaging the gut and BBBs, contribute to the extra-intestinal manifestation of IBD. We conclude that IBD patients should be screened for LPS antibodies in an effort to detect or prevent possible barrier damage at the earliest stage possible to abrogate disease symptoms in IBS and associated disorders.
... However, in the circumstances of disrupted BBB due to various environmental, stressrelated or inflammatory factors circulating antibodies against AQP may react with astrocytes' endfeets leading to autoimmunity and further disruption of BBB (199). Interestingly, patients with MS have higher levels of serum antibodies against human and plant AQP what is believed to contribute to increased BBB and autoimmunity in MS (200). Also, autoimmunity against AQP4 is a clinical feature of another demyelinating inflammatory disorder -neuromyelitis optica (NMO) restricted to the spinal cord and optic nerves. ...
Preprint
Full-text available
There is robust evidence that major depression (MDD) is accompanied by a low-grade activation of the immune-inflammatory response system, which is involved in the pathophysiology of this disorder. It is also becoming apparent that glia cells are in reciprocal communication with neurons and orchestrate various neuromodulatory, homeostatic, metabolic, and immune mechanisms and have a crucial role in neuroinflammatory mechanisms in MDD. Those cells mediate the central nervous system (CNS) response to systemic inflammation and psychological stress, but at the same time, they may be an origin of the inflammatory response in the CNS. The sources of activation of the inflammatory response in MDD are immense, however, in recent years, it is becoming increasingly evident that the gastrointestinal tract with gut-associated lymphoid tissue (GALT) and increased intestinal permeability to bacterial LPS and food-derived antigens contribute to activation of low-grade inflammatory response with subsequent psychiatric manifestations. Furthermore, an excessive permeability to gut-derived antigenic material may lead to subsequent autoimmunities which are also known to be comorbid with MDD. In this chapter, we discuss fascinating interactions between the gastrointestinal tract, increased intestinal permeability, intestinal microbiota, and glia-neuron crosstalk, and their roles in the pathogenesis of the inflammatory hypothesis of MDD. To emphasize those crucial intercommunications for the brain functions, we propose the term of microbiota-gut-immune-glia (MGIG) axis.
... However, in the circumstances of disrupted BBB due to various environmental, stressrelated or inflammatory factors circulating antibodies against AQP may react with astrocytes' endfeets leading to autoimmunity and further disruption of BBB (199). Interestingly, patients with MS have higher levels of serum antibodies against human and plant AQP what is believed to contribute to increased BBB and autoimmunity in MS (200). Also, autoimmunity against AQP4 is a clinical feature of another demyelinating inflammatory disorder -neuromyelitis optica (NMO) restricted to the spinal cord and optic nerves. ...
Preprint
Full-text available
There is robust evidence that major depression (MDD) is accompanied by a low-grade activation of the immune-inflammatory response system, which is involved in the pathophysiology of this disorder. It is also becoming apparent that glia cells are in reciprocal communication with neurons and orchestrate various neuromodulatory, homeostatic, metabolic, and immune mechanisms and have a crucial role in neuroinflammatory mechanisms in MDD. Those cells mediate the central nervous system (CNS) response to systemic inflammation and psychological stress, but at the same time, they may be an origin of the inflammatory response in the CNS. The sources of activation of the inflammatory response in MDD are immense, however, in recent years, it is becoming increasingly evident that the gastrointestinal tract with gut-associated lymphoid tissue (GALT) and increased intestinal permeability to bacterial LPS and food-derived antigens contribute to activation of low-grade inflammatory response with subsequent psychiatric manifestations. Furthermore, an excessive permeability to gut-derived antigenic material may lead to subsequent autoimmunities which are also known to be comorbid with MDD. In this chapter, we discuss fascinating interactions between the gastrointestinal tract, increased intestinal permeability, intestinal microbiota, and glia-neuron crosstalk, and their roles in the pathogenesis of the inflammatory hypothesis of MDD. To emphasize those crucial intercommunications for the brain functions, we propose the term of microbiota-gut-immune-glia (MGIG) axis.
Article
Full-text available
Objectives: Activation of the immune-inflammatory response system (IRS) and a deficiency in the compensatory immunoregulatory system (CIRS), neuronal injuries, and alterations in the glutamate receptor (GlutaR), aquaporin-4 (AQP4), and heat shock protein 60 (HSP60) are involved in delirium. Increased serum levels of neurofilament protein (NFP), glial fibrillary acidic protein (GFAP) and myelin basic protein (MBP) are biomarkers of neuronal injury. This investigation delineates whether elevated IgA/IgG reactivity against those self-antigens is associated with delirium severity and IRS activation. Methods: We measured peak Delirium Rating Scale (DRS) scores on days 2 and 3 following surgery in 59 hip fractured older adults, and IgA and IgG antibody levels against MBP, NFP, GFAP and myelin oligodendrocyte glycoprotein (MOG), metabotropic glutamate receptors mGluRs 1 and 5, N-Methyl-D-Aspartate receptor (NMDAR) GLU1 (NR1) and GLU2 (NR2), APQ4 and HSP60. Results: The IgA antibody levels against those self-antigens, especially GFAP, MBP and HSP60, strongly predict peak DRS scores on days 2 and 3 post-surgery. IgA reactivity against NMDAR and baseline DRS scores explained 40.6% of the variance in peak DRS scores, whilst IgA against NMDAR, IgG against MBP and age explained 29.1% of the variance in the IRS/CIRS ratio. There was no correlation between DRS scores and IgG directed against other self-antigens. Conclusions: Increased IgA levels against neuronal self-antigens, AQP4, and HSP60 are risk factors for delirium. Polyreactive antibody-associated breakdown of immune tolerance, IRS activation and injuries in the neuronal cytoskeleton, oligodendrocytes, astrocytes, glial cells, and myelin sheath are involved in the pathophysiology of delirium.
Chapter
This chapter seeks to explore possible explanations for the rise in allergies and immune reactivities and the epidemic proportions of autoimmune disease. A major hypothesis is that this modern sort of plague derives from the modern civilization in which most of the world now lives. The technological advances of progress inevitably bring with them changes in lifestyle and diet, which can affect our immune system in various ways. Individuals today are surrounded and bombarded by genetically modified foods completely different from what their ancestors used to eat and an unending torrent of chemicals that not only pervade the environment around them but are in the very food and drink that they consume daily without a second thought. Thus, the necessary homeostatic balance between type 1 and type 2 T helper cells (Th1 and Th2) can be swayed toward pathogenesis by, ironically, too hygienic a lifestyle. Likewise, the balance of the commensal bacteria in the gut microbiome can be disturbed by environmental triggers, which may lead to intestinal permeability, immune reactivity, and autoimmunity. Xenobiotics (haptens) in food can form neo-antigens or adducts, leading to autoimmunity and cancer. The increased use of food additives to make our food look better, taste better, last longer, and be cheaper and easier to grow has come with an accompanying rise in reports of food reactivities and autoimmune disorders. It has been proven that many of the common foods that are universally eaten without a second thought are actually cross-reactive with different tissues of the human body, and this includes the brain. It seems all too easy, then, for the healthy relationship and mechanisms between the brain and the immune system to succumb to the overwhelming assault mounted by the environmental triggers of today’s modern world. What is required is a way to detect the beginnings of these environmental attacks, which leave traces or biomarkers, so that years of suffering from immune reactivity or autoimmune disease may be avoided or prevented by early diagnosis and proper therapeutic action.
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