Introduction
Endometriosis, a chronic disease in which endometrial glands and
stroma implant outside the uterus, af flicts 1 in 10 reproductive-age
women [ 1, 2], which accounts for around 196 million women
worldwide. The most common symptoms of endometriosis are
infertility and pelvic pain [ 3, 4]. Other symptoms include excessive
bleeding and pain with menstruation, intercourse, and bowel
movements or urination [ 5]. A crucial factor in endometriosis is
unopposed estrogen signaling and resistance to progesterone.
Other factors include altered immune function, epigenetic
modifications stimulated by environmental toxicants, and endo-
crine disrupters [ 6, 7]. Despite decades of research, current
therapies are only limited to either symptomatic pain relief or
hormonal therapies or surgical excision of endometriotic lesions
that do not prevent recurrences.
The principal theory is that endometriotic lesions establish
when endometrial tissue moves retrogradely into the peritoneal
space during menstruation and implants on surrounding tissues,
such as the intestine or peritoneum [ 8]. Given that 90% of women
experience retrograde menstruation, it is believed that the
immune system usually clears these cells. However, in 10% of
women, the immune cells are unable to clear the endometrial
cells, which then adhere and proliferate to form lesions. These
lesions then spread via in flammation due to release of pro-
inflammatory cytokines and growth factors in the peritoneal cavity
[9, 10]. Studies from endometriosis mouse models found elevated
levels of Tumor Necrosis Factor-alpha (TNF α), interleukin 6 (IL-6),
Macrophage In flammatory Protein 1 alpha (MIP-1 α), and MIP-2 in
peritoneal macrophages [ 11– 14]. Further, TNF α– MMP9 (Matrix
metallopeptidase 9) axis generates endometriotic steroid receptor
hormone 1 (SRC-1) isoform, which plays a crucial role in
endometriosis disease progression in mice [ 11]. There is also a
profound in filtration of neutrophils in ectopic tissue that occurs
during early onset of endometriosis and its progression, when
Received: 6 December 2022 Revised: 5 January 2023 Accepted: 6 January 2023
1Department of Pathology and Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. 2Department of Molecular Microbiology, Washington
University School of Medicine, St. Louis, MO 63110, USA. 3Center for Women ’ s Infectious Disease Research, Washington University School of Medicine, St. Louis, MO 63110, USA.
4Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. 5Advanced Technology Core, Baylor College of Medicine,
One Baylor Plaza, Houston, TX 77030, USA. 6Division of Allergy and Immunology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
7Department of Molecular Virology and Microbiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. ✉email:
[email protected]
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neutrophils and macrophage in flammatory proteins MIP-1 α and
MIP-2 are elevated in peritoneal fluid [12]. Treatment of Interleukin
1 beta (IL-1 β) to the cells from endometriotic lesion but not in
normal endometriotic cells leads to induction of Vascular
endothelial growth factor ( VEGF) and IL-6 transcripts. Moreover,
inflammasome, a multiprotein complex, stimulates the secretion
of IL-1β and IL-8, resulting into the multiple host responses. These
studies suggest that enhanced IL-1 β signaling, which occurs in
response to in flammasome activation, promotes endometriotic
angiogenesis [ 15, 16]. Consistently, the peritoneal fluid of women
with endometriosis has elevated IL-1 β, which promotes the
release of cytokines, such as Interleukin 8 (IL-8), and growth
factors that contribute to neovascularization and monocyte
chemotaxis in endometriotic explants [ 17, 18]. This evidence
strongly supports the role of in flammatory response in this
process, most of which comes from mouse models of endome-
triosis [ 11, 12].
Multiple evidence suggests that microbiota is altered in women
with endometriosis. First, Chen et al. reported different cervical and
uterine microbiome communities in women with and without
endometriosis [19]. Second, a study by Shan et al. observed lower
alpha diversity of gut microbiota and a higher Firmicutes-to-
Bacteroidetes ratio in women with stage 3/4 endometriosis
(n = 12) than healthy controls ( n = 12) [ 20]. Further, Ata et al.
found, in a cohort of 14 women with stage 3/4 endometriosis and
14 healthy women, that women with endometriosis had elevated
Gardnerella, Streptococcus, Escherichia, Shigella, and Ureoplasma in
their cervix and elevated Shigella/Escherichia in their stool [ 21].
Third, a study by Svensson et al. carried out on human stool
samples revealed high alpha (the microbial diversity of a single
sample) and beta diversities (a measure of similarity or dissimilarity
between two communities), as well as the Firmicutes-to-
Bacteroidetes ratio [ 22] in control group ( n = 198) than the
endometriosis patients (n = 66) [22]. Fourth, the human peritoneal
microbiome analysis revealed the abundance of Acidovorax,
Devosia, Methylobacterium, Phascolarctobacterium
,a n d Streptococ-
cus in the peritoneal fluid of endometriosis patients than the
matched controls [23], Fifth, in a mouse model of endometriosis in
which endometrial fragments are injected into the intraperitoneal
space, endometriosis was linked with alterations in the gut
microbiome [24]. Finally, in our first study, we found that treatment
with either broad-spectrum antibiotics or metronidazole after
lesion initiation reduced lesion growth in a surgical model of
endometriosis [25]. Whereas, in our recent study we revealed that,
the microbial metabolite, n-butyrate protects against endome-
triosis disease progression in mouse model of this disease [ 26].
Although, these studies provided a correlative relation between
gut microbiota and endometriosis, it is not clear whether the gut
microbiota directly in fluences the lesion formation and growth. In
this study, we found that depletion of the gut microbiome reduces
endometriotic lesion growth and that lesion growth is rescued by
orally gavaging the mice with feces from mice with endometriosis.
Additionally, using germ-free donor mice, we found that uterine
microbiota is not essential for endometriotic lesion growth.
Furthermore, we showed that the gut microbiota modulates
immune cell populations in the peritoneum of mice with
endometriosis. Additionally, our metabolomic analysis revealed a
signature of fecal metabolites whose abundance signi ficantly
differs between mice with and without endometriosis. If these
Results
are recapitulated in humans, they could bene fit in leading
new strategies to diagnose and treat endometriosis.
Results
Endometriosis lesion growth is reduced in microbiota-
depleted mice
In our previous study [ 25], we performed endometriosis surgery
and then provided mice with antibiotics in their drinking water.
However, this model prevented us from determining the causal
role of gut microbiota in endometriosis disease progression. To
address the causal role of microbiota in endometriosis, we
considered two possible models: germ-free or microbiota-
depleted mice. Germ-free mice generated by surgically delivering
pups, sterilizing them, and rearing them in germ-free isolators [ 27].
Microbiota-depleted (MD) mice are generated by raising mice
under standard conditions and then orally gavaging adults with
broad-spectrum antibiotics vancomycin (50 mg/kg), neomycin
(100 mg/kg), metronidazole (100 mg/kg), and ampicillin
(100 mg/kg), plus 1 mg/kg amphotericin-B, an anti-fungal agent
included to overcome sporadic overgrowth of Candida species)
every 12 hours for seven days. The resulting mice have many of
the same physiological characteristics as germ-free mice, such as
hypoplastic lymphoid tissue and altered gene expression pro files
of intestinal epithelial cells [ 28– 31]. However, we preferred the
microbiota depletion model over germ-free mice model for
several reasons. First, surgically inducing endometriosis in germ-
free isolators is extremely challenging and can lead to contamina-
tion and infection. Second, germ-free mice have several develop-
mental defects and lack an educated immune system as they are
maintained in sterile isolators from birth [ 32]. Finally, microbiota-
depletion enables eliminating microbiota in adult mice and can be
re-colonized with gut microbiota with fecal microbiota transfers
[33]. Thus, compared to germ-free mice, microbiota-depleted mice
are more suitable for our studies [ 30].
We used microbiota-depleted mice generated as described
above (Fig. 1A) and con firmed by quantitative PCR of feces that
they had signi ficantly less Bacteriodetes, Firmicutes, and Gamma-
Proteobacteria than control mice (Fig. 1B). Consistent with
previous research [ 28, 29], the microbiota-depleted mice had
significantly smaller spleens, larger ceca, and fewer Peyer ’ s
patches than control mice (Fig. 1C-E). Thus, microbiota depletion
produced the similar phenotypes that are seen in germ-free mice
[30]. Importantly, uteri from microbiota-depleted mice had typical
endometrial epithelia, glands, and stroma, indicating that micro-
biota depletion had no detrimental effect on gross uterine
morphology (Fig. 1F). This treatment had no effect on both the
body weight or water consumption of the mice (Fig. 1G, H). Finally,
we also showed that there was no change in the serum level of
17β-Estradiol (Fig. 1I) or level of IL-1 β (Fig. 1J) in the peritoneal
fluid of MD mice. Next, we surgically induced endometriosis in
both control and MD mice by autologously transplanting a piece
of the uterus onto the peritoneum and assaying the resulting
lesions 21 days later (Fig. S1A). Lesions in control/vehicle mice
were signi ficantly larger and more obviously fluid-filled and
vascularized than lesions in microbiota-depleted mice (Fig. 2A-D).
Lesions in microbiota-depleted mice contained fewer proliferative
cells (Ki-67-positive) (Fig. 2E-G), endothelial cells (CD31-positive)
(Fig. 2H), and macrophages (F4/80-positive) than lesions in control
mice (Fig. 2I).
In the previous section we evaluated the role of gut
microbiota using a suture model of endometriosis. In this
model, during the induction of endometriosis, mice underwent a
major surgery that may trigger an in flammatory response in the
mice. To avoid effects from the su rgery, we adopted an injection
model, where endometriosis can be induced in mice without
performing the surgery. We induced the injection-based
endometriosis in both control/vehicle and MD mice and
analyzed 21 days after (Fig. S1B). Similar to the surgical/suture
model of endometriosis, lesions in vehicle-treated mice in the
injection model are also signi ficantly larger and in greater
number than the lesions of MD mice (Fig. 2J-M). Additionally, the
lesions from control/vehicle -treated mice showed typical
endometriosis-like characteristics, which is lacking in the MD
mice (Fig. 2N). Like the surgical/suture model, lesions in
microbiota-depleted mice from the injection model also
contained fewer proliferative cells (Fig. 2O-Q), CD31-positive
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Cell Death Discovery (2023) 9:28
endothelial cells (Fig. 2R), and macrophages (F4/80-positive)
than lesions in control mice (Fig. 2S). Irrespective of the
endometriosis model system, the se results clearly indicate a
role for the microbiota in endometriotic lesion growth.
Gut microbes are required for endometriotic lesion growth in
mice
Next, we determined whether gut microbes are required for
endometriotic lesion growth. To test this possibility, we treated
mice with vehicle (control) or anti biotics (microbiota depletion),
surgically induced endometriosis, and then administered either
PBS or fecal material from mice with endometriosis through oral
gavage (Fig. 3A). Whereas transplantation of fecal material from
mice with endometriosis develop ed typical control-like endo-
metriotic lesions in microbiota-depleted mice, feces from
healthy mice failed to restore lesions (Fig. 3B-D and S2A).
Subsequently, we performed similar studies in the injection-
based mouse model of endometriosis. We injected uterine
fragments from control donor mic e intra-peritoneally, and then
transplanted feces from mice wi th and without endometriosis
by oral gavage (Fig. 3E). Feces from mice without endometriosis
(MD + NE) developed signi ficantly smaller and fewer endome-
triotic lesions than feces from mice with endometriosis (MD + E)
(Fig. 3F-I). Additionally, lesions in mi crobiota-depleted mice that
received feces had similar numbers of proliferative epithelial
and stromal cells (stained for Ki-67) (Fig. S2B-D), endothelial cells
(CD31-positive cells) (Fig. S2E ), and macrophages (stained with
F4/80) as lesions in control mice (Fig. S2F). These findings
indicate that gut microbes are required for endometriotic lesion
growth.
Uterine microbiota might be dispensable for endometriotic
lesion growth in mice
The above results could indicate that microbiota depletion altered
the uterine microbiome, causing autologously transplanted
uterine fragments in microbiota-depleted mice to be less able to
form lesions than fragments in control mice. To test this idea, we
injected endometrial fragments from donor MD mice into the
peritoneal space of recipient vehicle and MD mice (Fig. 4A).
Compared to control mice, recipient MD mice developed fewer
and smaller endometriotic lesions (Fig. 4B-E). To further con firm
that uterine microbiota is not responsible for the differences in
endometriotic lesion growth, we injected endometrial fragments
from the vehicle and MD donor mice into the peritoneal space of
control mice (Fig. 4F). As expected, mice receiving the endometrial
fragments either from vehicle or MD donor, developed endome-
triotic lesion of similar mass, size, and number. (Fig. 4G-J).
Subsequently to strengthen the hypothesis that the uterine
microbiota might be dispensable for endometriotic lesion growth
in mice, we injected uterine fragments from control or Germ-Free
(GF) mice into the control and MD mice (Fig. 4K). Irrespective of
the origin of donor uterine fragment, compared to control mice,
only MD mice developed smaller and fewer endometriotic lesion
(Fig. 4L-O). These findings suggest that uterine microbiota might
be dispensable but not the gut microbiota for endometriotic
lesion growth in mice.
Gut microbiota impacts the peritoneal immune cell
populations in mice with endometriosis
It is well documented that in flammation is associated with
endometriosis and the gut microbiota are known to modulate
Fig. 1 Generation of microbiota-depleted mice using antibiotics. A Schematic of experimental timeline and procedures. B Quantification of
relative abundances of Bacteroidetes, Firmicutes, and Gamma-proteobacteria in feces from vehicle and Microbiota-depleted (MD) mice. C-
D Wet weights of C spleen and D caecum in indicated treatment groups at a sacri fice. E The number of Peyer ’s patches from indicated
treatment groups. F Representative images of Hematoxylin and Eosin-stained uterine cross-sections from the indicated treatment groups. LE,
Luminal Epithelium; GE, Glandular Epithelium; S, Stroma. Yellow arrows indicate the gland. G-H Mouse G body weight and H water
consumption at indicated time points in vehicle and MD mice. I-J Relative level of I 17β-Estradiol in serum and J IL-1β in peritoneal fluid of
indicated treatment groups. Data are presented as mean ± SE ( n = 5 mice per group). ** P < 0.01, *** P < 0.001, and ns, non-signi ficant.
S.B. Chadchan et al.
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Cell Death Discovery (2023) 9:28
the inflammatory milieu of the peritoneum. Thus, we analyzed the
immune cell populations in the peritoneal fluid of vehicle and MD
mice to determine if altered immune cells composition was
associated with reduced lesion growth in MD mice. The flow
cytometric sorting strategy is shown in Fig. 5A. Compared to
vehicle-treated mice, MD mice contained fewer total (Fig. 5B, C)
and CD206+ (M2-like macrophage) (Fig. 5D-E) macrophages in the
peritoneum. However, the mean fluorescence intensity (MFI) for
CD206 on CD206 + CD11b+ F4/80hi M2-like macrophages (Fig. 5F)
and the MFI for CD86 on CD86 + CD11b+ F4/80hi macrophages
(Fig. 5G) was unchanged. We also observed a lower number of
CD19+ B cells, Total T cells, CD4 + T cells, and CD8 + T cells in MD
mice compared to the vehicle-treated mice (Fig. 5H, I) and (Fig.
6A-D). These results suggest that the gut microbiota impacts
endometriotic lesion growth, possibly through the modulation of
peritoneal immune cell populations. However, in-depth functional
studies with speci fic immune cell-de ficient mouse models will
uncover the precise mechanism by which gut microbiota drives
peritoneal immune function in endometriosis.
Fecal metabolite landscape between mice with and without
endometriosis
One possibility by which gut microbiome could affect endome-
triosis is through gut microbiota-derived metabolites. Interest-
ingly, particular microbiome-derived metabolites are associated
with both obesity [ 34] and autism spectrum disorder [ 35]. To
begin to test the idea that gut-bacteria-derived metabolites
influence endometriosis disease progression, we measured the
relative metabolites (>150) in feces from mice that underwent
endometriosis surgery and those that underwent sham surgery.
The results revealed an identi fication of a signature of (>50)
metabolites in feces from sham mice compared to the control
mice with endometriosis (Fig. 7A). We plotted the relative
abundances of six of these metabolites namely, Quinic acid (QA)
(Fig. 7B), Cytosine, 1-Methyl-Histidine, Ng, NG-Dimethyl L-Arginine,
2-Aminoheptanoic acid and N-Acetyl Aspartic acid (Fig. S3A),
which were differentially present in feces of mice with endome-
triosis. We investigated the in vitro effect of these metabolites on
cells derived from human endometriotic lesions and found that
QA most signi ficantly increased the proliferation of immortalized
human endometriotic epithelial cells expressing luciferase
(iHEECs/Luc) (Fig. 7C). Whereas, other five metabolites only
moderately modulated the iHEECs/Luc proliferation (Fig. S3B-F).
Based on these in vitro results, we further studied the in vivo
effects of QA on endometriosis lesion growth in mice. After the
induction of endometriosis, from day 1, mice were orally gavaged
with QA (5 mg/kg) every 24 h for 14 days. The mice that received
the QA developed signi ficantly larger endometriotic lesions than
mice that consumed the vehicle, whereas we did not observe any
significant change in the lesion numbers (Fig. 7D-G). These data
indicate that QA promotes lesion growth but not the establish-
ment of lesions. Taken together, our findings suggest a role for gut
microbiota and microbiota-derived metabolites in endometriosis
disease progression.
Discussion
In this study, we have provided evidence that gut microbiota plays
a pivotal role in endometriosis disease progression in mice. The
major finding includes 1) the uterine microbiota might be
Fig. 2 Gut microbiota promotes endometriosis disease progression in mice. A , J Ectopic endometriotic lesion representative images from
A suture model J injection model. B, K The endometriotic lesion volumes from B suture model and K injection model. C, L The endometriotic
lesion masses from C suture model and L injection model from the indicated groups 21 days postinduction of endometriosis. M Number of
lesions per mouse in injection model from the indicated groups 21 days post-induction of endometriosis. D, N Representative images of
ectopic lesions from D suture model and N injection model from the indicated treatment groups stained with Hematoxylin & Eosin (H&E).
E, O Representative images of ectopic lesions from E suture model and O injection model from the indicated treatment groups stained with
anti-Ki-67 antibody. F, P Percentages of Ki-67-positive cells in endometriotic lesion epithelium, F suture model and P injection model; G,Q
stroma, G suture model and Q injection model. Representative images of ectopic lesions stained with H, R anti-CD31 in H suture model and
R injection model; I, S anti-F4/80 I suture model and S injection model from the indicated treatment groups. White arrows indicate positive
cells. Data are presented as mean ± SE ( n = 5), * P < 0.05, ** P < 0.01 and *** P < 0.001.
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dispensable for endometriosis disease progression. 2) The fecal
microbiota transfer from mice with endometriosis rescues the
endometriosis phenotype in both suture, as well as an injection
model of endometriosis, suggesting gut bacteria drive disease
progression. 3) The antibiotics-mediated depletion of gut micro-
biota modulates immune cells populations in the peritoneum of
mice with endometriosis. 4) Fecal metabolites are altered in mice
with and without endometriosis. 5) Treatment of endometriotic
cells and mice with Quinic acid signi ficantly enhanced the cellular
proliferation and endometriotic lesion growth, respectively.
Recently, a correlation between altered microbiota and
endometriosis pathogenesis is reported [ 20– 24, 26, 36]. For
example, women with endometriosis are more likely to have
uterine microbial dysbiosis than women without endometriosis
[19, 21, 37, 38]. Further a study on human stool samples revealed
the differences in the alpha and beta diversities and altered
Firmicutes-to-Bacteroidetes ratio [ 22]. A more recent study
reported the altered peritoneal microbiome in women with
endometriosis [ 23]. Moreover, several studies including our
previous work showed that gut microbial communities are altered
in mice as well as women with endometriosis [ 21, 24, 25, 39]. We
found that bacteria in the gut, as opposed to any other site, are
required for endometriotic lesion progression. Since women with
endometriosis are often susceptible to in flammatory bowel
disease, our findings therefore shed light on the potential
connection between endometriosis and colonic diseases via gut
bacteria [ 40].
Endometriosis is primarily recognized as an in flammatory
disease. Upon ectopic implantation of endometrial fragments,
macrophages and neutrophils are first recruited. Activated
macrophages predominantly secrete numerous pro-
inflammatory cytokines and chemotactic and angiogenic growth
factors [ 41]. A recent study demonstrates that lesion-resident
macrophages are derived from eutopic endometrial tissue that
infiltrate large peritoneal macrophages and monocytes [ 42].
Hence, the depletion of eutopic endometrial macrophages results
in reduced endometriotic lesion growth. In contrast, constitutive
inhibition of monocyte recruitment signi ficantly reduces perito-
neal macrophage populations. Strikingly, this results in an
increased number of lesions, suggesting a protective origin-
specific role of monocyte-derived macrophages in the peritoneal
cavity to limit the development of lesions [ 42]. Further, it is well
documented that microbial metabolites act as a messenger
between gut microbiota and immune function [ 43– 45]. Given
our observation that the microbial metabolites are altered in mice
with endometriosis and depletion of gut bacteria reduces the
endometriosis-associated in flammation [ 25] and immune cell
population, future efforts could explore the role of particular
microbiota or derived metabolite in context to the regulation of
endometriosis-associated in fl
ammation.
Previously, the signatures of the metabolome in Gout revealed
that the metabolites associated with uric acid excretion, purine
metabolism, and in flammatory responses are altered [ 46]. Further,
GS-MS-based analysis of metabolome revealed that 13 metabo-
lites differed between controls and irritable bowel syndrome (IBS)
patients [ 47]. Interestingly, fecal volatile organic compound (VOC)
profiling suggested a signi ficant increase in fecal ester compounds
in nonalcoholic fatty liver syndrome (NAFLD) patients [ 48]. These
increasing pieces of evidence suggest that the gut microbial
dysbiosis and their derived metabolites are associated with
multiple pathological conditions. Additionally, arachidonic, and
linoleic acid derivatives are associated with several pregnancy-
associated pathologies, such as gestational diabetes mellitus and
pre-eclampsia. Whereas arachidonic acid metabolite levels are
Fig. 3 Gut microbiota is required for endometriotic lesion growth in mice. A , E Schematic of experimental timeline and procedures for
A suture model and E injection model for the fecal microbiota transfer (FMT) experiments. Microbiota-depleted mice underwent
endometriosis induction and received an oral gavage of PBS (MD + PBS), feces from mice without endometriosis (MD + NE) or feces from mice
with endometriosis (MD + E). B, F Ectopic endometriotic lesion representative images from B suture model and F injection model. C, G Ectopic
lesion volumes from C suture model and G injection model. D, H Ectopic lesion masses from D suture model and H injection model from the
indicated groups 21 days after the induction of endometriosis. I Number of lesions per mouse in injection model from the indicated groups
21 days post-induction of endometriosis. All the indicated data is 21 days after induction of endometriosis. Data are presented as mean ± SE
(n = 5), * P < 0.05, ** P < 0.01, *** P < 0.001, and ns, nonsigni ficant.
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Fig. 4 Uterine microbiota might be dispensable for endometriotic lesion growth in mice. A , F, K Schematic of experimental timeline and
procedures. Ectopic endometriotic lesion B, G, O representative images, C, H, L number of lesions per mouse, D, I, M volumes and
E, J, N masses from the indicated groups 21 days after induction of endometriosis. Data are presented as mean ± SE ( n = 5), * P < 0.05,
**P < 0.01, *** P < 0.001 and ns nonsigni ficant.
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higher in women ’ s ovarian tissue when suffering from the
polycystic ovarian syndrome. These findings suggest the associa-
tion of metabolites with fertility-related pathological conditions
[49]. Serum samples from endometriosis patients exhibit aug-
mented levels of citrate, lactate, 3-hydroxybutyrate, alanine,
leucine, valine, threonine, lysine, glycerophosphatidylcholine,
succinic acid and 2-hydroxybutyrate whereas levels of lipids,
glucose, isoleucine, and arginine are reduced [ 50, 51]. Further, in
another report, two metabolites triacylglycerols and α‐amino acids
were found abundant in the serum of endometriosis patients
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when compared with matched controls [ 52]. However, we found
that 2-aminohepatonic acid, N-Acetyl Aspartic acid; Maltose, Lactic
acid, and Quinic acid are signi ficantly upregulated in feces of mice
with endometriosis. Treatment of endometriotic cells and mice
with QA signi ficantly enhanced the cellular proliferation and
endometriotic lesion growth in mice respectively. Interestingly,
lactic acid, which was found elevated in the human serum
samples from endometriosis patients [ 51], also increased in the
feces of a mouse model of endometriosis in our study.
Importantly, quinic acid might prove to be useful as a non-
invasive diagnostic tool for the early detection of endometriosis,
which is an unmet need for women who suffer from this painful
disease.
At present, only limited reports are available on endometriosis
and stool metabolomics, and none focused on the relationship
between the two. A recent study conducted on feces of mice with
endometriosis revealed that Chenodeoxycholic acid and Urso-
deoxycholic acid were upregulated whereas, Alpha-linolenic acid
and 12, 13s-epoxy-9z, 11, 15z-octadecatrienoic acid (12,13-EOTrE)
were downregulated [ 53]. Additionally, another finding suggests
that endometriosis is associated with abnormal lipid metabolism,
which is demonstrated with low BMI in humans and reduced body
fat stem cells, and disorder of lipid metabolism in the animal
model [ 54, 55]. Based on these previous findings by others and
our group [ 21, 24, 36] in relation to gut microbiota and
endometriosis, we speculated that the microbial dysbiosis and
difference in metabolites might be in a self-regulation mode,
which can provide the necessary adaptive microenvironment for
endometriosis establishment.
In summary, our findings provide novel insight into the
molecular underpinnings of endometriosis, suggesting that gut
microbiota-derived metabolites may be a new important pre-
dictive marker for endometriosis. An in-depth study focusing on
the speci fic microbiota or associated metabolites in
endometriosis-associated in flammation in the context of human
endometriosis patients will be next on our agenda.
Fig. 6 Gut microbiota depletion affects total, CD4 + and CD8 + T cell population in the peritoneal fluid from mice with endometriosis.
A Flowchart of Flow cytometric plots for the cell sorting using Cytek. B-D The relative number of B total T cells per mL, C CD4+ T cells per mL
and D CD8+ cells per mL in the peritoneal fluid from vehicle and MD mice. The endometriosis was induced in the vehicle and MD mice as
shown in Fig. S1B and flow cytometric analysis was carried out on the peritoneal fluid 21 days after the induction of endometriosis. Data are
presented as mean ± SE ( n = 4), * P < 0.05.
Fig. 5 Gut microbiota depletion affects the macrophage and B cell population in the peritoneal fluid of mice with endometriosis. The
endometriosis was induced in the vehicle and MD mice as shown in Fig. S1B and flow cytometric analysis was carried out on the peritoneal
fluid from mice with endometriosis. A Flowchart of flow cytometric plots for the cell sorting using the Cytek Aurora. B The relative number of
total microphages per mL and C flow cytometric plots in the peritoneal fluid from vehicle and MD mice. D The relative number of CD206 + M2-
like macrophages (M2-like mac) per mL and E flow cytometric plots in the peritoneal fluid from vehicle and MD mice. F, G Mean fluorescence
intensity of F CD206 + CD11b+ F4/80 hi mac (M2 like Macrophage) and G CD86 + CD11b+ F4/80 hi mac (M1like macrophage) in the peritoneal
fluid from vehicle and MD mice. H The relative number of CD19 + B-cells per mL and I flow cytometric plots in the peritoneal fluid from vehicle
and MD mice. All the indicated data is 21 days after the induction of endometriosis. Data are presented as mean ± SE ( n = 4), *P < 0.05 and ns
nonsignificant.
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Material and methods
Animal studies
Mice (C57BL/6, Taconic) were housed in an animal facility at Washington
University, School of Medicine, St. Louis, MO, USA or Baylor College of
Medicine Houston, TX, USA under standard 12-h light-dark cycle with access
to food and water ad libitum. Germ-free mice were maintained in a
gnotobiotic facility using flexible plastic isolators and monitored monthly to
ensure sterility. The germ-free mice were bred in house for these
experiments. All animals were housed 5 animals per cage maximum and
monitored daily for welfare. All mice used for the study were between 8 and
10 weeks of age. All animal experiments were approved by the Institutional
Animal Care and Use Committee (Protocol #2019-1079 and AN-716).
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Statistical analyses
All statistical analyses were performed using GraphPad Prism 9 software
(GraphPad Software, San Diego, USA). All data are presented as means ±
SEM. A two-tailed paired Student t-test was used to analyze between-
group differences in experiments comparing two experimental groups.
Analysis-of-variance (ANOVA) by non-parametric alternatives was applied
for comparisons between multiple groups as appropriate.
A detailed description of the materials and methods used in this study is
available in the online Supplementary Material.
DATA AVAILABILITY
We have uploaded the raw metabolomics data, which will be available in the NIH
Metabolomics Workbench (National Metabolomic Data Repository) database with the
project ID (ST002410).
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Acknowledgements
We thank Dr. Deborah J. Frank (Department of Obstetrics and Gynecology,
Washington University) for assistance with manuscript editing, Alma Jackson
(Department of Obstetrics and Gynecology, Washington University) for technical
expertise. We also thank the Gnotobiotic core facility, Washington University, School
of Medicine Saint Louis, MO, USA for housing the germ-Free mice. This work was
funded, in part, by National Institutes of Health/National Institute of Child Health and
Human Development grants R01HD102680, R01HD065435, and R00HD080742 to RK.
SKN received Stephen I. Morse Fellowship and CLS awarded Burroughs Wellcome
Fund Investigators in the Pathogenesis of Infectious Disease. The metabolomics core
was supported by the CPRIT Core Facility Support Award RP210227 “Proteomic and
Metabolomic Core Facility, ” NCI Cancer Center Support Grant P30CA125123, NIH/NCI
R01CA220297, NIH/NCI R01CA216426 intramural funds from the Dan L. Duncan
Cancer Center.
AUTHOR CONTRIBUTIONS
SBC designed experiments, conducted most of the studies, analyzed the data, and
wrote the manuscript. SKN and CLS sorted the immune cells and analyzed the data.
SP analyzed fecal metabolite data and edited the manuscript. CRA measured the
metabolites using LC-MS. MAL and ALK provided Germ-Free mice. PP and CT rewrote
Methods
sections and performed QA in vivo studies. RK designed experiments,
conceived the project, supervised the work, and wrote the manuscript.
COMPETING INTERESTS
The authors declare no competing interests.
ADDITIONAL INFORMATION
Supplementary information The online version contains supplementary material
available at https://doi.org/10.1038/s41420-023-01309-0.
Correspondence and requests for materials should be addressed to Ramakrishna
Kommagani.
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