Abstract
Background Endometriosis, affecting 10% of women in their reproductive years, remains poorly understood. Both
individual and environmental unexplained factors are implicated in this heterogenous condition. This study aims
to examine the influence of a Western diet on endometriosis lesion development in mice and to uncover the mecha-
nisms involved.
Methods
Mice were fed either a control diet or a Western diet (high in fatty acids and low in fiber) for 4 weeks. Endo-
metriosis was then surgically induced, and lesion development was monitored by ultrasound. After 7 weeks, the mice
were sacrificed for analysis of lesion characteristics through RT-qPCR, immunohistochemistry, and flow cytometry.
Additionally, the intestinal microbiota was assessed using 16S rRNA gene sequencing.
Results
Mice on the Western diet developed lesions that were significantly twice as large compared to those
on the control diet. These lesions exhibited greater fibrosis and proliferation, alongside enhanced macrophage activ-
ity and leptin pathway expression. Changes in the intestinal microbiota were significantly noted after endometriosis
induction, regardless of diet. Notably, mice on the Western diet with the most substantial lesions showed a loss
of Akkermansia Muciniphila in their intestinal microbiota.
Conclusions
A Western diet significantly exacerbates lesion size in a mouse model of endometriosis, accompanied
by metabolic and immune alterations. The onset of endometriosis also leads to substantial shifts in intestinal micro-
biota, suggesting a potential link between diet, intestinal health, and endometriosis development.
Keyword
Endometriosis, Diet, Intestinal Microbiota, Akkermansia muciniphila
*Correspondence:
Guillaume Parpex
[email protected]
1 Department of Gynecology Obstetrics II and Reproductive Medicine
(Professor Chapron), Assistance Publique-Hôpitaux de Paris (AP-HP),
Hôpital Universitaire Paris Centre (HUPC), Centre Hospitalier Universitaire
(CHU) Cochin, 123 boulevard de Port-Royal, Paris 75014, France
2 Université Paris Cité, CNRS, Institut Cochin, Paris, Inserm, France
3 Institut Pasteur, Université Paris Cité, Microbiome-Host Interaction
Group, INSERM U1306, Paris, France
Page 2 of 15Parpex et al. BMC Medicine (2024) 22:513
Background
Endometriosis is a benign gynecological condition char -
acterized by the presence of endometrial-like tissue
outside the uterine cavity. It manifests with symptoms
such as pelvic pain and infertility, significantly affecting
the quality of life for affected women [1]. This condition
is heterogenous, presenting with various phenotypes
that correspond to a highly variable number and loca -
tion of lesions [2]. The widely accepted implantation
theory suggests that endometriosis stems from retro -
grade menstruation through the fallopian tubes into the
abdominopelvic cavity [3]. While this phenomenon is
common in cycling women, the prevalence of endome -
triosis stands at around 10%, indicating potential roles of
individual [4] and environmental factors [5].
In humans, the development of a healthy gastrointes -
tinal microbiota during early life is crucial for proper
immune system maturation [6]. Newborns’ exposure
to intestinal microbiota can modulate the risk of bacte -
rial respiratory infections [7], indicating a strong coop -
erative relationship between the digestive microbiota and
the immune system. This symbiosis is observed in many
immuno-inflammatory diseases [8], notably influencing
innate immunity and promoting inflammation. In endo -
metriosis, the ectopic implantation of endometrial cells
involves hormonal and immuno-inflammatory processes
[9]. Previous studies have shown that immune-inflamma-
tory changes may be associated with bacterial by-prod -
ucts or components that can modulate inflammation
by either blocking or activating the memory response
of macrophages, a phenomenon referred to as trained
immunity [10]. The available data demonstrate altera -
tions in the intestinal microbiota of women affected with
stage III and IV endometriosis [11, 12]. Notably, dietary
modifications have shown potential in reducing pain
associated with endometriosis [13], particularly through
the adoption of anti-inflammatory diets [14–16]. These
dietary changes may be linked to variations in the intes -
tinal microbiota, potentially involving unidentified meta -
bolic functions. Both diet and intestinal microbiota could
be key factors in the pathophysiology of endometriosis
[17, 18]. The aim of this study was to investigate whether
a Western diet, known for its proinflammatory proper -
ties, could affect the growth of endometriosis lesions and
to explore the underlying mechanisms.
Methods
Murine model of endometriosis
Eight-week-old female BALB/cJRj mice, weighing
15–17 g, were purchased from Janvier Laboratory ® (Le
Genest Saint Isle, France) to establish the murine model
of endometriosis. All animals received humane care fol -
lowing institutional guidelines, including being main -
tained under a standard 12-h photoperiod with ad libitum
access to food and water throughout the study. All experi-
mental procedures and animal care were approved by the
institutional review board. The study protocol underwent
thorough review and received approval from the “Com -
ité d’Ethique en matière d’Expérimentation Animale”
at Paris Cité University (CEEA 34), Paris (agreement
Graphical Abstract
Page 3 of 15
Parpex et al. BMC Medicine (2024) 22:513
#B75-1405, APAFIS #30,327–2019090511442754-v3).
Female BALB/c mice were randomly assigned to one of
two diets: (1) a purified control diet (CD) (n = 32), con-
sisting of 17% total kcal from lard fat (D12450K, Bro -
gaarden ApS, 3540 Lynge, Denmark), and (2) a matched
purified Western diet (WD) (n = 32), containing 45%
of total kcal from lard fat (D12451, Brogaarden ApS,
3540 Lynge, Denmark) (Additional File 1: Supplemen -
tal Table 1). This WD is considered a medium-fat diet
(45%) compared to high-fat diets (60% and higher). Over
a period of 4 weeks, mice were fed their respective diets.
Following this dietary intervention, endometriosis was
surgically induced in the mice by syngeneic transplan -
tation of horn tissue, following a previously described
protocol [19]. Prior to implantation, a preoperative gav -
age was administered to synchronize the estrous cycle
of all recipient mice, with each receiving 56 μg/kg/day
of 17β-estradiol (Provames ®, Sanofi-Aventis, France)
for 5 days [20]. The donor mice (3 mice in each CD
and WD group) were fed the same diet as the recipient
mice. The mice continued on the same diet until they
were sacrificed. Upon sacrifice by cervical dislocation,
uterine horns were surgically extracted and transferred
into a Petri dish containing Dulbecco’s modified Eagle’s
medium (DMEM) warmed to 37 °C (DMEM supple -
mented with 10% fetal calf serum, 100 U/mL penicillin,
and 0.1 mg/mL streptomycin; PAA, Paris, France). Under
a stereo-microscope (M651; Leica Microsystems, Paris,
France), the uterine horns were longitudinally opened
with microscissors, and 5-mm-length samples were pre -
pared for grafting into the peritoneal cavity of recipient
mice. Recipient BALB/cJRj mice were divided into two
new groups: control diet with endometriosis (CD + OSE)
and Western diet with endometriosis (WD + OSE). These
mice were then anesthetized with isoflurane, intubated,
and mechanically ventilated. An incision was made on
the ventral midline, and a 5-mm donor horn fragment
was sutured onto the parietal peritoneum using two 7/0
polypropylene stitches (Prolen ®, Ethicon, Somerville,
NJ). In all endometriosis mice, two pieces of donor horns
were symmetrically sutured on each side of the abdomi -
nal incision to ensure comparable vascularization at
host tissue sites. The two control groups underwent the
same surgical procedure, with the exception of the horn
graft, which was replaced by sutures alone. The cutis was
sutured using a 6/0 nylon thread. Throughout the experi-
ment, mice were weighed weekly (Fig. 1). The experiment
was repeated twice, resulting in a total of 58 mice divided
into four groups: the first experimental set comprised
n = 29 mice, while the second experimental set also com -
prised n = 29 mice).
Implant size evaluation by ultrasonography
The implanted horn pieces were weighed extemporane -
ously. Evaluation of implant size and volume was con -
ducted on days 20, 39, and 47 post- surgery using serial
ultrasonography, as previously described [21], with the
Vevo 2100 high-frequency ultrasound imaging system
(VisualSonics®, Toronto, Canada). The ultrasound probe
utilized had a 40-MHz center frequency (MS550) and an
adaptable focal depth, providing a spatial resolution at
the focus of 40 × 80 × 80 μm3. During the examination,
mice were anesthetized with 1.5% isoflurane and placed
on a heated stage while being restrained. The abdomi -
nal area was shaved using a depilatory cream, and ultra -
sound contact gel was applied to the abdomen. An image
sequence capturing two-dimensional axial views of the
endometriotic implant was acquired as the probe was
swept from the upper to the lower abdominal wall of the
mouse. The implant volume was calculated using the for-
mula: TV (mm3) = (L × W2)/2 [22]. All ultrasound exami -
nations were conducted at the “Plateforme Imageries du
Vivant (PIV) of Paris Cité University, INSERM U1016”
Fig. 1 Experimental design
Page 4 of 15Parpex et al. BMC Medicine (2024) 22:513
Paris, France. Image acquisitions were performed by the
same blinded operator.
Implant collection
At day 49 post-implantation, animals were sacrificed by
cervical dislocation. The endometriotic implants were
then surgically removed and weighed. The right-side
implant of each mouse was prepared for flow cytom -
etry analysis. The left-side implant was divided into two
halves: one half was promptly frozen in liquid nitrogen
for subsequent RNA extraction, followed by reverse
transcription quantitative real-time PCR analysis. The
other half was fixed with 10% formaldehyde for further
histological analysis. Multiple 5-μm paraffin sections
were prepared. These sections were stained with hema -
toxylin and eosin or Masson’s Trichrome according to
the manufacturer’s protocol. Immunochemistry was per-
formed on slides using the Leica Bond RX automated
system. The slides were subjected to unmasking at pH 6,
followed by a 30-min incubation with an anti-Ki67 anti -
body (ab15580, Abcam) at a 1/500 dilution and with an
leptin (Ob) receptor antibody (af497, R&D Systems) at
a 1/100 dilution. After washing, the secondary antibody
HRP conjugate was applied, and the signal was visualized
using diaminobenzidine (DAB) with the “Bond Polymere
Refine” kit (DS9800, Leica).
Image analysis
Analysis of the immunohistochemistry images was
conducted using the QuPath software (https:// qupath.
github. io/). The immunohistochemistry images were
stained with 3,3′ DAB and hematoxylin. In brief, a mean
filtering process was applied to all images to facilitate
color segmentation. For analyses of Masson trichrome
staining, a fixed threshold was selected to distinguish
the color corresponding to the stained segment. The
selected regions were uniformly expanded with respect
to filter threshold, gain, and magnification. For nuclear
Ki67 quantification, a color deconvolution process was
employed, resulting in the production of three images,
one of which depicted the DAB staining. A QuPath
plugin was used to analyze the nuclear staining patterns
of the deconvoluted DAB images, specifically focus -
ing on nuclei of epithelial cells. The quantification was
expressed as a percentage of the area occupied by the
color of interest (brown nuclei for Ki67 and Ob receptor
marking and blue marking for collagen).
RNA extraction and quantitative reverse transcription
polymerase chain reaction (qRT‑PCR)
Total mRNA was extracted from crushed samples using
TRIzol reagent (Invitrogen, Carlsbad, USA). qRT-PCR
was performed with a QuantiTect SYBR® Green RT-PCR
Kit on a LightCycler 480 II instrument (Roche Applied
Science, Indianapolis, USA). A panel of six genes, includ -
ing four target genes and two reference genes (internal
controls), was analyzed by quantitative RT-PCR using
cDNA synthesized from each sample. Primers for RT-
PCR analysis were selected using PRIMER3 software
or were based on published sequences from a previous
study [23] (Additional File 1: Supplemental Table 2). All
chosen primers were aligned using BLAST software to
avoid non-specific annealing and cross-amplifications.
Primers were procured from Eurofins Genomics France
(Nantes, France) and were used at a concentration of
10 nM in the PCR reaction. Quantitative PCR was con -
ducted on a Light Cycler ® 480 96-well apparatus (Roche
Diagnostics, Manheim, Germany), with 160 ng of cDNA
as the template. The PCR protocol began with an initial
denaturation of 5 min at 95 °C, followed by 40 cycles
of 10 s at 95 °C, an annealing phase for 10 s, 72 °C for
10 s, and concluded with a final melting curve. Across a
broad range of RNA concentrations (via serial dilution),
all primer sets demonstrated good linear correlation
(slope ≥ − 3.6) and consistent priming efficiency across
the various dilutions, as indicated by their Ct values. RT-
PCR efficiencies for all genes were estimated to be ≥ 90%.
The relative abundance fold changes of each target gene,
compared to a set of internal controls, were determined
using the formula − 2ΔΔCt. The set of internal controls
comprised the geometric mean of two different refer -
ence genes: succinate dehydrogenase complex subunit A
(SDHA) and glyceraldehyde-3-phosphate dehydrogenase
(GADPH). Analysis of the results was performed using
the LightCycler software.
Analysis of lesion immune cells by flow cytometry
At the time of sacrifice, lesions were placed in 12-well
plates filled with 1 mL of Roswell Park Memorial Insti -
tute (RPMI, Sigma-Aldrich, Saint-Quentin-Fallavier,
France) medium on ice. The lesions were then crushed
and digested, and the contents of each well were trans -
ferred to falcon tubes, filtered (70 μm), and centrifuged
multiple times. Following automatic cell counting, 2 × 106
cells were isolated for staining. The cells were subse -
quently incubated with the appropriate labeled antibod -
ies at 4 °C for 30 min in the dark, in PBS with 2% normal
fetal bovine serum (FBS). Flow cytometry analysis was
performed using a fluorescence-activated cell sorting
(FACS) Fortessa II flow cytometer (BD Biosciences, San
José, USA), following standard techniques. The mono -
clonal antibodies used included Zombie UV for select -
ing viable cells, CD45 BV510 for selecting immune cells,
and CD11b APC-Cy7, CD11c PE, F4/80 BV711, CD80
PE Cy5, CD206 AF647, for characterizing macrophages.
Additionally, CD45R/B220 PE Texas-Red, CD3ε FITC,
Page 5 of 15
Parpex et al. BMC Medicine (2024) 22:513
and CD69 PerCP-Cy5 antibodies from eBiosciences
(Thermo Fisher Scientific, Villebon-Sur-Yvette, France)
and BioLegend were utilized. Data analysis was per -
formed using the FlowJo software (Tree Star, Ashland,
USA). The gating strategy for identifying peritoneal mac -
rophages by flow cytometry is shown in Additional File 1:
Supplemental Fig. 1.
Serum collection and metabolic measurement
Retro-orbital bleeding of mice was performed a few min -
utes before sacrifice. Serum was obtained through two
rounds of centrifugation. Blood samples were taken more
than four hours after the start of the diurnal phase, cor -
responding to a morning fast [24]. The necessary volume
per mouse was 15 μL of serum, which was not available
for all mice. Lactate and glucose levels in the sera were
quantified using the Cobas 8000 modular analyzer series
(Diagnostics Roche, Meylan, France).
Microbiota samples
At the time of sacrifice, the distal part of the colon was
excised to extract the feces, which were subsequently
stored at – 80 °C without a preservation medium.
Microbiota analysis by 16S rRNA gene sequencing
16S rRNA gene amplification and sequencing were con -
ducted using Illumina MiSeq technology, following the
protocol outlined by the Earth Microbiome Project, with
modifications to the MOBIO PowerSoil DNA Isolation
Kit procedure for DNA extraction (available at www. earth
micro biome. org/ emp- stand ard- proto cols.). Bulk DNA was
extracted from frozen extruded feces using a PowerSoil-
htp kit from MoBio Laboratories (Carlsbad, California,
USA), with mechanical disruption through bead-beating.
The 16S rRNA genes, specifically targeting region V4,
were PCR amplified from each sample using a composite
forward primer and a reverse primer including a unique
12-base barcode, designed using the Golay error-cor -
recting scheme, which served to tag PCR products from
respective samples [25]. We utilized the forward primer
515F with the following sequence: 5′- AAT GAT ACG GCG
ACC ACC GAG ATC TAC ACG CTXXXXXXXXXXXX -
TAT GGT AAT TGT GTG YCA GCMGCC GCG GTAA-
3′. In this sequence, the italicized part represents the 5′
Illumina adapter, the 12 X sequence indicates the Golay
barcode, the bold sequence signifies the primer pad, the
italicized and bold sequence represents the primer linker,
and the underlined sequence denotes the conserved bac -
terial primer 515F. The reverse primer 806R employed
had the sequence: 5′ -CAA GCA GAA GAC GGC ATA CGA
GAT AGT CAG CCA GCC GGA CTA CNVGGG TWT CTAAT
-3′. Here, the italicized part corresponds to the 3′ reverse
complement sequence of the Illumina adapter, the bold
sequence represents the primer pad, the italicized and
bold sequence denotes the primer linker, and the under -
lined sequence signifies the conserved bacterial primer
806R. PCR reactions were conducted using Hot Master
PCR mix (Quantabio, Beverly, MA, USA), with 0.2 μM of
each primer, 10–100 ng of template, and reaction condi -
tions were as follows: 3 min at 95 °C, followed by 30 cycles
of 45 s at 95 °C, 60 s at 50 °C, and 90 s at 72 °C on a Bio -
rad thermocycler. The resulting products were visualized
by gel electrophoresis and quantified using the Quant-iT
PicoGreen dsDNA assay (Clariostar Fluorescence Spec -
trophotometer). A master DNA pool was then generated
in equimolar ratios, subsequently purified using Ampure
magnetic purification beads (Agencourt, Brea, CA, USA),
and sequenced on an Illumina MiSeq sequencer (paired-
end reads, 2 × 250 bp) at the Genom’IC platform (INSERM
U1016, Paris, France).
Analysis of 16S rRNA gene sequences
16S rRNA sequences were analyzed using QIIME2—ver -
sion 2019 [26]. The sequences underwent demultiplexing
and quality filtering using the Dada2 method [27], with
QIIME2 default parameters to detect and correct Illu -
mina amplicon sequence data. Subsequently, a QIIME2
artifact table was generated. A phylogenetic tree was
then constructed using the align-to-tree-mafft-fasttree
command for phylogenetic diversity analyses, and alpha
and beta diversity analyses were computed using the
core-metrics-phylogenetic command. Principal coor -
dinate analysis (PCoA) plots were used to assess varia -
tion between experimental groups (beta diversity). For
taxonomic analysis, features were assigned to operational
taxonomic units (OTUs) with a 99% threshold of pair -
wise identity to the Greengenes reference database 13_8
[28]. Unprocessed sequencing data are deposited in the
European Nucleotide Archive under accession number
PRJEB81557.
Results
Exacerbation of endometriotic lesions in a mouse model
by Western diet
In the WD + OSE group, endometriosis lesions were larger
compared to the CD + OSE mice (referred to as the con -
trols in this experiment), as observed at the macroscopic
level (Fig. 2A (a)). Evaluation of implant volume by ultra -
sonography (Fig. 2A (b)) on days 0 and 49 revealed a sig -
nificant increase in the WD + OSE group compared to the
CD + OSE group (69.7 ± 18.7 mm3 and 148.3 ± 38.8 mm3,
respectively; p < 0.01). This difference was characterized
by an accelerated rate of lesion growth in the WD + OSE
group compared to the control group (Fig. 2A (b) and
Fig. 2C). The weight of the implants before endometrio -
sis induction surgery was similar in both the WD + OSE
Page 6 of 15Parpex et al. BMC Medicine (2024) 22:513
and CD + OSE groups (27.1 ± 6.7 mg vs. 27.3 ± 6.4 mg,
respectively; p = 0.96) (Fig. 2B). Mice weights gain was
not different between our groups except between CD and
CD + OSE groups (3.0 ± 0.3 g vs. 1.6 ± 0.3 g, respectively;
p < 0.01) (Fig. 2D). These data demonstrate that mice fed
the WD diet exhibited lesions twice as large as those fed
the CD diet 40 days after endometriosis induction, despite
having equal grafted implant weights and equal weight
gain between groups.
Consumption of a Western diet activates macrophages
in ectopic endometriotic lesions
According to current literature findings, endometrio -
sis is characterized by significant immune disruption
and a pro-inflammatory state, particularly in mac -
rophages [9 , 29]. Hence, in our mouse model, we ana -
lyzed the expression of surface molecules on immune
cells from lesions. The percentage of macrophages
did not differ between lesions in the CD + OSE and
WD + OSE groups (Fig. 3A). Investigation of mac -
rophage activation by examining the surface mark -
ers CD80, CD206, and MHC-II revealed an increased
fluorescence intensity for the markers CD80 (p = 0.02)
and CD206 (p = 0.03) in the WD + OSE group (Fig. 3B,
C, D). The percentage of lymphocytes in the lesions
remained unchanged (Fig. 3E), as did their activation,
as indicated by the CD69 study (Fig. 3 F).
Fig. 2 Promotion of endometriosis lesions by Western diet in vivo. A (a) Macroscopic view of the implants on day 49. (b) Ultrasonography images
of peritoneal implants in mice on day 40. (c) Staining with hematoxylin and eosin of the lesion on day 49 (G: glandular cells; L: lumen; Sc: stromal
cells). Original magnification × 100. B Implants weight per mice before surgical implantation to induce endometriosis in CD group (n = 16) and WD
group (n = 15) (mg). C Volume evolution of the implants between day 0 (the day of the surgery) and day 40 evaluated by ultrasound (mm3)
in the WD + OSE (n = 14) and CD + OSE groups (n = 16). D Weight gain of mice between day 0 and day 49 (g) in the CD (n = 13), CD + OSE (n = 16),
WD (n = 15), and WD + OSE groups (n = 14). Unpaired t-test (B, C), one-way ANOVA (D). ns, non-significant. *p < 0.05, **p < 0.01, ***p < 0.001. Data
represent the mean and SEM from at least n = 7 mice per group
Page 7 of 15
Parpex et al. BMC Medicine (2024) 22:513
Western diet leads to more fibrotic and proliferative
endometriosis lesions
With the understanding that endometriosis lesions
exhibit diverse levels of inflammation and fibrosis [30,
31], we conducted a thorough examination of these char-
acteristics in lesions induced within our mouse model.
Our characterization revealed a significant increase in
fibrosis markers (Col1a1) within the WD + OSE group,
albeit without a significant increase in the inflammatory
marker Cyclo-Oxygenase 2 pathway (Ptgs2) (Fig. 4A).
Histological assessment of lesion fibrosis was conducted
utilizing Masson trichrome coloration (Fig. 4B, C). The
area of fibrosis was notably greater in the WD + OSE
group compared to the CD + OSE group, with values
of 16.9% ± 5.9 and 11.43% ± 2.3, respectively (p = 0.04)
(Fig. 4D). Cell proliferation was assessed by Ki-67 immu -
nostaining (Fig. 4F, G). Lesions within the WD + OSE
group exhibited a higher proliferation index, as assessed
by stromal cells positive for Ki-67, compared to lesions
in the CD + OSE group, with values of 29.6% ± 5.3 and
13.3% ± 3.0, respectively (p < 0.01) (Fig. 4E). Lesions in the
WD + OSE group demonstrated increased fibrosis and
proliferation yet did not activate the Ptgs2 pathway.
Western diet increases leptin pathway activation
and glucose oxidation in endometriosis
Recognizing the role of the leptin pathway in endo -
metriosis lesion progression, we investigated the
transcription of the leptin gene (Ob) and its receptor
(Obr). The expressions Ob and Obr mRNA were found
to be heightened in the WD + OSE group compared to
the CD + OSE group (Fig. 5A). The significant increase
in the Ob receptor was also tested by staining with
immunohistochemistry (Fig. 5B, C, D). Glucose oxida -
tion is believed to be elevated in endometriosis, poten -
tially contributing to lesion growth [32]. Given that
WD and the leptin pathway are also known to increase
glucose metabolism [33, 34], we examined whether
glucose and lactate levels in serum were altered, serv -
ing as indicators of glucose oxidation levels. Glucose
levels did not differ significantly between the CD and
WD groups (6.8 ± 0.8 mmol/L vs. 7.6 ± 0.7 mmol/L,
respectively; p = 0.44). However, glucose levels were
significantly lower in the CD + OSE group com -
pared to the CD group (4.9 ± 0.9 vs. 6.8 ± 0.8 mmol/L,
respectively; p < 0.01) and similarly in the WD + OSE
group versus the WD group (6.4 ± 1.4 mmol/L vs
Fig. 3 Macrophage activation by Western diet in lesions. A–F Flow cytometry analysis on macrophage within lesions (CD11b + F4/80 +)
and lymphocytes (CD45 + CD3e +). Macrophage activation markers CD206, CD80, and CMH-II, as well as lymphocyte activation marker CD69, were
assessed by mean fluorescent activity and SEM. CD + OSE group (n = 6), WD + OSE group (n = 6). T-test. ns, non-significant. *p % 0.05, **p % 0.01, ***p
% 0.001
Page 8 of 15Parpex et al. BMC Medicine (2024) 22:513
7.6 ± 0.7 mmol/L, respectively; p = 0.02) (Fig. 5E).
This reduction in glucose levels in mice with endo -
metriosis could signify higher glucose consumption
in these groups. Lactate production during glucose
anaerobic metabolism was significantly elevated in the
WD + OSE group compared to WD alone (11.7 ± 0.8
vs. 7.7 ± 1.0 mmol/L; p < 0.0001). There was no sig -
nificant difference between the CD + OSE and the CD
groups (10.8 ± 1.9 vs. 9.3 ± 0.5 mmol/L, respectively;
p = 0.63) (Fig. 5F). These findings suggest that mice in
the WD + OSE group exhibited higher levels of glucose
oxidation, aligning with leptin pathway activation and
dietary influences.
Endometriosis induction impacts intestinal microbiota
composition
We proceeded to investigate the composition of the
intestinal microbiota using Illumina-based sequenc -
ing of the 16S rRNA gene. Principal coordinate analysis
plots (PCoA) of the Bray–Curtis distance interestingly
suggested an influence of endometriosis induction on
the composition of the intestinal microbiota, both in
mice fed a CD diet (Permanova p value = 0.013) (Fig. 6A)
and in mice fed a WD diet (Permanova p value = 0.004)
(Fig. 6B). The dietary changes distinctly altered the
microbiota composition between the CD and WD
groups, independently of the presence of endometrio -
sis, as clearly illustrated in the third view of the PCoA
(Fig. 6C). Moreover, microbiota richness (alpha diver -
sity), assessed through computation of the Shannon
diversity index, was not affected by diet or endometriosis
induction (Fig. 6D). We then delved into the microbiota
composition at various taxonomical levels (Fig. 6G). We
observed a major decrease or disappearance in A. mucin-
iphila in the WD + OSE group (Fig. 6E), whose relative
abundance has been positively associated with a healthy
state [35, 36]. However, we did not find any differences
among our groups concerning the Firmicutes/Bacteroi -
detes ratio, which is known to vary in cases of intestinal
dysbiosis [37, 38] (Fig. 6F).
Discussion
Main findings
In this laboratory study, utilizing a mouse model of endo-
metriosis, it was observed that endometriosis lesions
exhibited twice the size in mice fed with a WD compared
to those fed with a CD. Additionally, a significant diet-
induced activation of the leptin pathway and macrophage
activation within the lesions was detected. Concurrently,
changes in the composition of the intestinal microbiota
Fig. 4 Impact of Western diet on lesion characteristics. A qRT-PCR assessment of Ptgs2 and Col1a1 mRNA expression in lesions. Representative
sections of ectopic lesions stained with Masson’s trichrome in the CD + OSE (B) and WD + OSE groups (C). D The area of fibrosis was assessed based
on the blue coloration in the CD + OSE and WD + OSE lesions. E Percentage of stromal cells positive for Ki-67 immunostaining. Representative
sections of ectopic lesions showing Ki-67-positive stromal cells in CD + OSE (F) and WD + OSE (G) lesions. CD group (n = 7), WD group (n = 6),
CD + OSE group (n = 8), WD + OSE group (n = 7). Unpaired t-test. ns, non-significant. *p < 0.05, **p < 0.01, ***p < 0.001
Page 9 of 15
Parpex et al. BMC Medicine (2024) 22:513
due to endometriosis induction were observed, charac -
terized by a depletion of A. muciniphila in the intestinal
microbiota of endometriosis-afflicted mice fed with a
WD.
Strengths and weaknesses
The strength of our study lies in the novelty of the topic
and methodological design:
(i) To match the morphotype of endometriosis
patients with a normal or low body mass index,
we used a medium-fat die rather than a high-fat
diet. In contrast, Heard et al. conducted their study
using a WD (cited as “high fat”) [39]. We opted for
a diet containing fiber and less fat from lard, favor -
ing fat from soybean oil, as it seemed closer to a
typical human diet [40, 41]. Heard et al. employed
an intraperitoneal endometrial cell injection model
in mice, which does not allow for as precise a meas-
urement as the longitudinal ultrasound method we
used. However, our results are consistent with their
findings, particularly regarding the higher number
of intraperitoneal lesions in mice fed a WD.
(ii) Analysis of the intestinal microbiota necessitates
careful assessment of a wide range of inter-individ -
ual and temporal variabilities [42, 43]. Studying it
under strict dietary conditions, including continu -
ation of the diet after induction surgery, together
with the daily hormonal synchronization of the
mice for 5 days prior to surgical implantation of
the lesions, enhances the robustness and reproduc-
ibility of our analysis. Indeed, because mice do not
spontaneously menstruate, donor mice must be
hormonally treated to induce menstrual endome -
trium for transplantation [44]. Finally, to monitor
changes in lesion size over time and to mitigate the
impact of estrous cycles, we conducted longitudi -
nal ultrasound monitoring.
(iii) We have replicated the experiments, and our study
groups include control groups for both the diet and
the induction of endometriosis. The choice of the
BALB/c strain over C57BL/6 facilitates the moni -
toring of single and cystic lesions by ultrasound.
This immunocompetent strain, which tends to
exhibit Th2/M2 dominance, demonstrates reduced
sensitivity to the estrous cycle in terms of lesion
development. Additionally, BALB/c mice have
been shown to sustain lesion development over
longer-term experiments, such as our dietary expo-
sures [45]. This methodological approach strength-
ens the study and minimizes evaluation bias.
Fig. 5 Impact of Western diet on metabolic changes. A qRT-PCR assessment of Ob and Obr mRNA expression in lesions. B Percentage of stromal
cells positive for Obr immunostaining. Representative sections of ectopic lesions stained with Obr antibody in the CD + OSE (C) and WD + OSE
groups (D). Levels of glucose (E) and lactate (F) in mouse serum. CD group (n = 8), WD group (n = 7), CD + OSE group (n = 8), WD + OSE group (n = 5).
ANOVA test with Bonferroni correction. *p < 0.05, **p < 0.01, ***p < 0.0001
Page 10 of 15Parpex et al. BMC Medicine (2024) 22:513
However, the study does have minor limitations and/or
biases:
(i) Some of our experiments were conducted only
once due to the challenge of obtaining large quanti-
ties of biological samples. However, modern tech -
niques such as RT-qPCR and flow cytometry ena -
ble valid analyses to be performed even with small
quantities.
(ii) The amount of food ingested by the mice was not
quantified, which could potentially lead to an over -
estimation of the effect of the WD. Nonetheless,
the groups of mice were homogeneous in number
and subjected to identical conditions, which should
help stabilize variations in food intake. Regarding
metabolic parameters, mice were not fasted prior
to blood collection. Importantly, the BALB/c strain
does not develop glucose intolerance when fed a
high-fat diet, ensuring accurate assessment of met -
abolic effects. However, our study observed blood
glucose levels akin to hypoglycemic conditions
following fasting in this strain of mice [46]. Addi -
tionally, data suggests that mice consumed similar
quantities of food without significant variations in
their weights throughout the experiment.
(iii) One limitation of our study is the lack of direct
control over the estrous cycle, which could poten -
Fig. 6 Impact of endometriosis on intestinal microbiota. A–C Principal coordinate analysis (PCoA) plots were used to assess the variation
between the groups (beta diversity), analyzed by permutational multivariate analysis of variance. Representative visualizations of variations
observed by the induction of endometriosis in both diet groups (A and B) or by the diet changes (C). D Shannon diversity index. E Relative
abundance of A. muciniphila. F Firmicutes/Bacteroidetes ratio. G The 10 most abundant taxa (at genus level) among different study groups. CD
group (n = 8), WD group (n = 7), CD + OSE group (n = 7), WD + OSE group (n = 5). ANOVA test with Bonferroni correction. NS, non-significant. *p %
0.05, **p % 0.01, ***p % 0.001
Page 11 of 15
Parpex et al. BMC Medicine (2024) 22:513
tially influence lesion growth. A hypothesis could
be that the WD could induce prolonged estrous or
proestrus phases with estrogen dominance. How -
ever, based on the recent study by Skalski et al.,
which demonstrated no significant changes in the
length of estrous phases when BALB/c mice were
fed a WD, we believe the diet’s effect on hormo -
nal cycling is minimal [47]. We used of a surgi -
cal induction model in non-ovariectomized mice,
which closely mimics the human condition by
preserving natural estrous cycles. This allows us to
maintain the integrity of the hypothalamic-pitui -
tary-ovarian axis and observe more physiologically
relevant hormonal responses. However, we did not
track the specific phase of the estrous cycle at the
time of sacrifice, which could provide additional
insights into the hormonal state during lesion anal-
ysis.
(iv) We correlated the size of the lesions with the
severity of endometriosis, although this may not
necessarily be the sole indicator of severity. Endo -
metriosis is a heterogenous disease, with various
phenotypes described in humans, and there may
not always be a clear correlation between symp -
toms and the anatomical distribution of lesions
known in humans [48].
Metabolic hypothesis
The intricate relationship between diet and endometrio -
sis presents promising avenues for further exploration.
Many women with endometriosis suffer from functional
bowel disorders [49], regardless of the presence of diges -
tive endometriotic lesions [50]. Therefore, emerging
research suggests that dietary modifications might allevi -
ate these symptoms [51, 52]. Previous studies have tested
the administration of probiotics on a mouse model of
endometriosis, resulting in a decreased size of the lesions
[53]. However, data is still lacking on the metabolic shifts
that could occur in endometriosis in response to dietary
changes.
WD is known to compromise gut barrier function,
leading to increased intestinal permeability and the leak -
age of toxic bacterial metabolites into circulation, poten -
tially contributing to the development of low-grade
systemic inflammation [54]. This low-grade inflamma -
tion has already been demonstrated in endometriosis and
could contribute to the more extensive development of
lesions in our model [55].
A metabolic effect observed in the WD + OSE group
is the stimulation of the leptin pathway, which is known
to be involved in the migration and invasion of endo -
metriotic cells [56, 57]. Leptin is also recognized for its
influence on glucose metabolism, exhibiting glucose-low-
ering effects [34, 58]. Endometriosis cells rely on height -
ened glucose metabolism for rapid ectopic implantation
and growth [59]. In vitro studies of endometriotic stromal
and epithelial cells, validated by in vivo experiments on
BALB/c mice, have shown increased glucose consump -
tion and lactate production [60]. Our findings align with
these observations, further illustrating an increase in glu -
cose oxidation, characterized by heightened glucose con -
sumption and lactate production in our WD + OSE group
[61], supporting the role of leptins in lesion development.
Microbiota hypothesis
The Western diet significantly increased the size of endo-
metriosis lesions. Drawing on well-established research
regarding the impact of dietary changes on the digestive
microbiota [62], our study reveals that endometriosis can
independently alter intestinal microbiota regardless of
diet. This underscores the role of intestinal microbiota in
various inflammatory diseases, particularly in exacerbat -
ing immune responses and perpetuating chronic inflam -
mation [63, 64].
Using a mouse model of endometriosis where endo -
metrial fragments are injected into the intraperitoneal
cavity, Yuan et al. linked endometriosis with significant
alterations in intestinal microbiota [65]. Chadchan et al.
further expanded on this, demonstrating that lesion
growth was attenuated by antibiotic treatment in a simi -
lar model [66]. They observed a reduction in lesion devel-
opment following broad-spectrum antibiotic-induced
microbiota depletion, which was reversible through fecal
transplantation from mice with endometriosis [67]. Stud-
ies involving microbiota-depleted mice undergoing endo-
metriosis induction and subsequent oral gavage of feces
from mice without endometriosis or with endometriosis
have been conducted. These studies demonstrated that
mice receiving feces from mice with endometriosis devel-
oped as many and as large lesions as those with intact
microbiota. These findings suggest a bidirectional rela -
tionship: induction of endometriosis modifies the micro -
biota, and conversely, specific microbiota compositions
can accelerate lesion development. A hypothesis emerg -
ing from these findings revolves around the role of short-
chain fatty acids produced by anaerobic fermentation of
intestinal bacteria, potentially influencing the severity of
lesions by promoting cellular proliferation and endome -
triotic lesion growth [67]. This theory finds support in a
baboon model, which identified specific microbial shifts
post-endometriosis induction, including a decrease in
gram-negative and an increase in gram-positive bacilli
[17]. Human studies have delved deeper, examining
microbiota ratios linked to intestinal dysbiosis, reflected
Page 12 of 15Parpex et al. BMC Medicine (2024) 22:513
in an increased ratio of Firmicutes/Bacteroidetes, though
such an observation was not evident in our model [68].
In our investigation of specific bacterial species vari -
ations among different groups, we noted a pronounced
depletion of A. muciniphila in the intestinal microbiota
of the WD + OSE group. This gram-negative bacteria,
recognized for its reduced presence in metabolic syn -
drome [69, 70], and inflammatory intestinal conditions
like Crohn’s disease [35], has been shown to confer mul -
tiple health benefits when administered as a pasteur -
ized probiotic, including mitigating low-grade intestinal
inflammation and enhancing gut integrity [71]. Notably,
the abundance of A. muciniphila remains stable in mice
in the WD group but is completely depleted in those in
the WD + OSE group. This suggests a potential rela -
tionship between its absence and increased severity of
endometriosis, aligning with emerging evidence of A.
muciniphila’s protective role in health. Considering the
recent study suggesting Fusobacterium as a causative
agent in the endometrial cavity for endometriosis, the
depletion of A. muciniphila in feces could indicate its
role as one of the protective bacteria in the pathophysiol -
ogy of endometriosis [72].
Immune hypothesis
The exacerbation of endometriosis lesions, influenced by
dietary factors and coupled with alterations in microbi -
ota composition, is intricately linked to immune changes.
These changes include the activation of macrophages
within the lesions, a phenomenon extensively docu -
mented in endometriosis [73]. Interestingly, this mac -
rophage activation appears to be more pronounced in
the WD + OSE group compared to the CD + OSE group.
We did not observe clear macrophage polarization
towards a dominant M1 or M2 phenotype in our study.
Several studies suggest a shift towards an M2 phenotype,
although this remains contentious, especially across dif -
ferent anatomical sites. For instance, an M1 phenotype
has been reported in eutopic endometrium [74], whereas
a dominant M2 phenotype is observed in the peritoneal
cavity [75] of mouse models of endometriosis. Surpris -
ingly, it has also been documented that macrophage
phenotype can vary with the stage of disease progres -
sion [75]. This disparity may originate from the concept
of trained immunity, where macrophages are primed for
a swifter and more robust inflammatory response. This
phenomenon manifests when macrophages are exposed
to bacillus Calmette-Guérin (BCG) in the context of
endometriosis [10]. It is plausible that the WD, character-
ized by an increase in gram-positive bacilli, could mimic
the effect of BCG, which is known to enhance lesion
growth in endometriosis. Furthermore, the detrimental
activation of trained immunity observed in mice fed a
WD, particularly through the activation of the inflamma -
some, could also significantly contribute to this process
[76]. Recently, A. muciniphila has been identified as play-
ing a role in modulating local long-term innate immune
responses, particularly in trained immunity, with poten -
tial anti-inflammatory effects [77]. Its absence in the
microbiota of WD + OSE mice underscore its potential
protective role in the context of endometriosis.
Perspective
This discovery not only deepens our understanding of
how specific dietary choices can benefit patients but also
opens up a promising new avenue for research. It would
be pertinent to investigate whether the observed phe -
nomena are reversible upon cessation of the medium-fat
diet. Our experimental animal study should encourage
human studies aimed at defining optimal diets for endo -
metriosis patients and assessing the effects of transition -
ing to a healthier diet. Therefore, further comprehensive
research is essential to unravel the intricate interplay
between intestinal microbiota and endometriosis. In
fact, the multifactorial nature of endometriosis links it to
an elevated risk of irritable bowel syndrome, for which
dietary interventions have shown efficacy [78]. Further
investigation is needed into the disappearance of A.
muciniphila observed in mice with the largest lesions,
particularly regarding its potential protective effects,
akin to those of a probiotic. Hence, it is crucial for studies
to examine the intestinal microbiota as a potential bio -
marker for assessing the efficacy of probiotics or dietary
modifications.
Conclusions
Our findings underscore a significant correlation
between diet and endometriosis, elucidating substan -
tial dimensions within the realms of immune response,
metabolism, and bacterial composition. This study
marks a pioneering endeavor in unraveling the impact
of dietary patterns on endometriosis, providing valua -
ble insights into the complex interplay between dietary
habits and this condition.
Abbreviations
WD Western diet
CD Control diet
OSE Endometriosis
PCoA Principal coordinate analysis
BCG Bacillus Calmette-Guérin
Page 13 of 15
Parpex et al. BMC Medicine (2024) 22:513
Supplementary Information
The online version contains supplementary material available at https:// doi.
org/ 10. 1186/ s12916- 024- 03738-9.
Additional file 1. Supplemental Table 1. Composition of Western and
control diets. Supplemental Table 2. Murine primers used for RT-qPCR
analysis of lesions. Supplemental Figure 1. Flow cytometry gating strategy
for macrophages and B lymphocytes in lesions.
Acknowledgements
The authors gratefully acknowledge the Genom’IC platforms (INSERM U1016,
Paris, France), the Life Imaging Facility of the University of Paris (Plateforme
Imageries du Vivant, Paris, France), and the Histim facilities (Institut Cochin,
Paris, France) for their assistance with the sequencing approach.
Authors’ contributions
L.M. and C.N. conceived of the presented idea. G.P ., B.C., L.D., M.T., S.C. and C.N.
carried out the experiment. G.P ., L.M., C.N. and L.D. participated to the original
draft preparation. P .S., B.C., F.B., C.C. reviewed and edited the original draft. All
authors reviewed the results and approved the final version of the manuscript.
Funding
Benoît Chassaing’s laboratory receives support from a Starting Grant awarded
by the European Research Council (ERC) under the European Union’s Horizon
2020 research and innovation program (grant agreement No. ERC-2018-StG-
804135) as well as ANR grants DREAM (ANR-20-PAMR-0002) and EMULBIONT
(ANR-21-CE15-0042–01). Additionally, funding is provided by the national
program “Microbiote” from INSERM.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
The study protocol underwent thorough review and received approval
from the “Comité d’Ethique en matière d’Expérimentation Animale” at Paris
Cité University (CEEA 34), Paris (agreement #B75-1405, APAFIS #30327–
2019090511442754-v3). Consent to participate is not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Received: 1 May 2024 Accepted: 29 October 2024
References
1. Chapron C, Marcellin L, Borghese B, Santulli P . Rethinking mechanisms,
diagnosis and management of endometriosis. Nat Rev Endocrinol.
2019;15:666–82.
2. Chapron C, Chopin N, Borghese B, Foulot H, Dousset B, Vacher-Lavenu
MC, et al. Deeply infiltrating endometriosis: pathogenetic implications of
the anatomical distribution. Hum Reprod Oxf Engl. 2006;21:1839–45.
3. Sampson JA. The development of the implantation theory for the origin
of peritoneal endometriosis. Am J Obstet Gynecol. 1940;40:549–57.
4. Christ JP , Yu O, Schulze-Rath R, Grafton J, Hansen K, Reed SD. Incidence,
prevalence, and trends in endometriosis diagnosis: a United States
population-based study from 2006 to 2015. Am J Obstet Gynecol.
2021;225:500.e1-500.e9.
5. Vallée A, Ceccaldi PF, Carbonnel M, Feki A, Ayoubi JM. Pollution and
endometriosis: a deep dive into the environmental impacts on women’s
health. BJOG Int J Obstet Gynaecol. 2024;131:401–14.
6. Gensollen T, Iyer SS, Kasper DL, Blumberg RS. How colonization by micro-
biota in early life shapes the immune system. Science. 2016;352:539–44.
7. Reyman M, van Houten MA, van Baarle D, Bosch AATM, Man WH, Chu
MLJN, et al. Impact of delivery mode-associated gut microbiota dynamics
on health in the first year of life. Nat Commun. 2019;10:4997.
8. Belkaid Y, Hand TW. Role of the microbiota in immunity and inflamma-
tion. Cell. 2014;157:121–41.
9. da Riccio LGC, Santulli P , Marcellin L, Abrão MS, Batteux F, Chapron C.
Immunology of endometriosis. Best Pract Res Clin Obstet Gynaecol.
2018;50:39–49.
10. Jeljeli M, Riccio LGC, Chouzenoux S, Moresi F, Toullec L, Doridot L, et al.
Macrophage immune memory controls endometriosis in mice and
humans. Cell Rep. 2020;33: 108325.
11. Ata B, Yildiz S, Turkgeldi E, Brocal VP , Dinleyici EC, Moya A, et al. The endo-
biota study: comparison of vaginal, cervical and gut microbiota between
women with stage 3/4 endometriosis and healthy controls. Sci Rep.
2019;9:2204.
12. Svensson A, Brunkwall L, Roth B, Orho-Melander M, Ohlsson B.
Associations between endometriosis and gut microbiota. Reprod Sci.
2021;28:2367–77.
13. Piecuch M, Garbicz J, Waliczek M, Malinowska-Borowska J, Rozentryt P . I
am the 1 in 10-what should I eat? A research review of nutrition in endo-
metriosis. Nutrients. 2022;14:5283.
14. Lasco A, Catalano A, Benvenga S. Improvement of primary dysmenorrhea
caused by a single oral dose of vitamin D: results of a randomized, dou-
ble-blind, placebo-controlled study. Arch Intern Med. 2012;172:366–7.
15. Porpora MG, Brunelli R, Costa G, Imperiale L, Krasnowska EK, Lundeberg
T, et al. A promise in the treatment of endometriosis: an observational
cohort study on ovarian endometrioma reduction by N-acetylcysteine.
Evid-Based Complement Altern Med ECAM. 2013;2013:240702.
16. van Haaps AP , Wijbers JV, Schreurs AMF, Vlek S, Tuynman J, De Bie B, et al.
The effect of dietary interventions on pain and quality of life in women
diagnosed with endometriosis: a prospective study with control group.
Hum Reprod Oxf Engl. 2023;38:2433–46.
17. Le N, Cregger M, Fazleabas A, Braundmeier-Fleming A. Effects of endo-
metriosis on immunity and mucosal microbial community dynamics in
female olive baboons. Sci Rep. 2022;12:1590.
18. Wu H-J, Wu E. The role of gut microbiota in immune homeostasis and
autoimmunity. Gut Microbes. 2012;3:4–14.
19. Marcellin L, Santulli P , Chouzenoux S, Cerles O, Nicco C, Dousset B, et al.
Alteration of Nrf2 and glutamate cysteine ligase expression contribute to
lesions growth and fibrogenesis in ectopic endometriosis. Free Radic Biol
Med. 2017;110:1–10.
20. Ingberg E, Theodorsson A, Theodorsson E, Strom JO. Methods for
long-term 17β-estradiol administration to mice. Gen Comp Endocrinol.
2012;175:188–93.
21. Santulli P , Marcellin L, Chouzenoux S, Boulard V, Just P-A, Nicco C, et al.
Role of the protein kinase BRAF in the pathogenesis of endometriosis.
Expert Opin Ther Targets. 2016;20:1017–29.
22. Tomayko MM, Reynolds CP . Determination of subcutaneous
tumor size in athymic (nude) mice. Cancer Chemother Pharmacol.
1989;24:148–54.
23. Borghese B, Mondon F, Noël J-C, Fayt I, Mignot T-M, Vaiman D, et al.
Gene expression profile for ectopic versus eutopic endometrium
provides new insights into endometriosis oncogenic potential. Mol
Endocrinol Baltim Md. 2008;22:2557–62.
24. Ayala JE, Samuel VT, Morton GJ, Obici S, Croniger CM, Shulman GI,
et al. Standard operating procedures for describing and performing
metabolic tests of glucose homeostasis in mice. Dis Model Mech.
2010;3:525–34.
25. Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Huntley J, Fierer
N, et al. Ultra-high-throughput microbial community analysis on the
Illumina HiSeq and MiSeq platforms. ISME J. 2012;6:1621–4.
26. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA,
et al. Reproducible, interactive, scalable and extensible microbiome data
science using QIIME 2. Nat Biotechnol. 2019;37:852–7.
27. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP .
DADA2: high-resolution sample inference from Illumina amplicon data.
Nat Methods. 2016;13:581–3.
28. McDonald D, Price MN, Goodrich J, Nawrocki EP , DeSantis TZ, Probst
A, et al. An improved Greengenes taxonomy with explicit ranks for
Page 14 of 15Parpex et al. BMC Medicine (2024) 22:513
ecological and evolutionary analyses of bacteria and archaea. ISME J.
2012;6:610–8.
29. Zhou F, Zhao F, Huang Q, Lin X, Zhang S, Dai Y. NLRP3 activated mac-
rophages promote endometrial stromal cells migration in endometriosis.
J Reprod Immunol. 2022;152:103649.
30. Ganieva U, Nakamura T, Osuka S, Nakanishi N, Kasahara Y, et al. Involve-
ment of transcription factor 21 in the pathogenesis of fibrosis in endome-
triosis. Am J Pathol. 2020;190:145–57.
31. Viganò P , Ottolina J, Bartiromo L, Bonavina G, Schimberni M, Villanacci
R, et al. Cellular components contributing to fibrosis in endometriosis: a
literature review. J Minim Invasive Gynecol. 2020;27:287–95.
32. Zheng J, Dai Y, Lin X, Huang Q, Shi L, Jin X, et al. Hypoxia-induced lactate
dehydrogenase A protects cells from apoptosis in endometriosis. Mol
Med Rep. 2021;24:637.
33. Hasegawa Y, Chen S-Y, Sheng L, Jena PK, Kalanetra KM, Mills DA, et al.
Long-term effects of Western diet consumption in male and female mice.
Sci Rep. 2020;10:14686.
34. Pereira S, Cline DL, Glavas MM, Covey SD, Kieffer TJ. Tissue-specific effects
of leptin on glucose and lipid metabolism. Endocr Rev. 2020;42:1–28.
35. Cani PD, Depommier C, Derrien M, Everard A, de Vos WM. Akkermansia
muciniphila: paradigm for next-generation beneficial microorganisms.
Nat Rev Gastroenterol Hepatol. 2022;19:625–37.
36. Daniel N, Gewirtz AT, Chassaing B. Akkermansia muciniphila counteracts
the deleterious effects of dietary emulsifiers on microbiota and host
metabolism. Gut. 2023;72:906–17.
37. Shin N-R, Whon TW, Bae J-W. Proteobacteria: microbial signature of
dysbiosis in gut microbiota. Trends Biotechnol. 2015;33:496–503.
38. Stojanov S, Berlec A, Štrukelj B. The influence of probiotics on the firmi-
cutes/bacteroidetes ratio in the treatment of obesity and inflammatory
bowel disease. Microorganisms. 2020;8: 1715.
39. Heard ME, Melnyk SB, Simmen FA, Yang Y, Pabona JMP , Simmen RCM.
High-fat diet promotion of endometriosis in an immunocompetent
mouse model is associated with altered peripheral and ectopic lesion
redox and inflammatory status. Endocrinology. 2016;157:2870–82.
40. Lafay Pillet M-C, Schneider A, Borghese B, Santulli P , Souza C, Streuli I,
et al. Deep infiltrating endometriosis is associated with markedly lower
body mass index: a 476 case-control study. Hum Reprod Oxf Engl.
2012;27:265–72.
41. Shah DK, Correia KF, Vitonis AF, Missmer SA. Body size and endometrio-
sis: results from 20 years of follow-up within the Nurses’ Health Study II
prospective cohort. Hum Reprod Oxf Engl. 2013;28:1783–92.
42. Baker JM, Al-Nakkash L, Herbst-Kralovetz MM. Estrogen–gut microbiome
axis: physiological and clinical implications. Maturitas. 2017;103:45–53.
43. Adak A, Khan MR. An insight into gut microbiota and its functionalities.
Cell Mol Life Sci CMLS. 2019;76:473–93.
44. Greaves E, Cousins FL, Murray A, Esnal-Zufiaurre A, Fassbender A, Horne
AW, et al. A novel mouse model of endometriosis mimics human phe-
notype and reveals insights into the inflammatory contribution of shed
endometrium. Am J Pathol. 2014;184:1930–9.
45. Dodds KN, Beckett EAH, Evans SF, Hutchinson MR. Lesion development is
modulated by the natural estrous cycle and mouse strain in a minimally
invasive model of endometriosis. Biol Reprod. 2017;97:810–21.
46. Montgomery MK, Hallahan NL, Brown SH, Liu M, Mitchell TW, Cooney GJ,
et al. Mouse strain-dependent variation in obesity and glucose homeo-
stasis in response to high-fat feeding. Diabetologia. 2013;56:1129–39.
47. Skalski HJ, Arendt AR, Harkins SK, MacLachlan M, Corbett CJM, Goy RW,
et al. Key considerations for studying the effects of high-fat diet on the
nulligravid mouse endometrium. J Endocr Soc. 2024;8:bvae104.
48. Moen MH, Stokstad T. A long-term follow-up study of women with
asymptomatic endometriosis diagnosed incidentally at sterilization. Fertil
Steril. 2002;78:773–6.
49. Seaman HE, Ballard KD, Wright JT, de Vries CS. Endometriosis and its coex-
istence with irritable bowel syndrome and pelvic inflammatory disease:
findings from a national case-control study–part 2. BJOG Int J Obstet
Gynaecol. 2008;115:1392–6.
50. Roman H, Ness J, Suciu N, Bridoux V, Gourcerol G, Leroi AM, et al. Are
digestive symptoms in women presenting with pelvic endometriosis
specific to lesion localizations? A preliminary prospective study. Hum
Reprod Oxf Engl. 2012;27:3440–9.
51. Moore JS, Gibson PR, Perry RE, Burgell RE. Endometriosis in patients
with irritable bowel syndrome: Specific symptomatic and demographic
profile, and response to the low FODMAP diet. Aust N Z J Obstet Gynae-
col. 2017;57:201–5.
52. Huijs E, Nap A. The effects of nutrients on symptoms in women
with endometriosis: a systematic review. Reprod Biomed Online.
2020;41:317–28.
53. Chouzenoux S, Jeljeli M, Bourdon M, Doridot L, Thomas M, Barbeito A,
et al. A new strategy against endometriosis: oral probiotic treatments.
Clin Obstet Gynecol Reprod Med. 2021;7:7.
54. Malesza IJ, Malesza M, Walkowiak J, Mussin N, Walkowiak D, Aringazina R,
et al. High-fat, Western-style diet, systemic inflammation, and gut micro-
biota: a narrative review. Cells. 2021;10:3164.
55. Orisaka M, Mizutani T, Miyazaki Y, Shirafuji A, Tamamura C, Fujita M, et al.
Chronic low-grade inflammation and ovarian dysfunction in women with
polycystic ovarian syndrome, endometriosis, and aging. Front Endocrinol.
2023;14: 1324429.
56. Ahn J-H, Choi YS, Choi J-H. Leptin promotes human endometriotic cell
migration and invasion by up-regulating MMP-2 through the JAK2/STAT3
signaling pathway. Mol Hum Reprod. 2015;21:792–802.
57. Oh HK, Choi YS, Yang Y-I, Kim J-H, Leung PCK, Choi J-H. Leptin receptor is
induced in endometriosis and leptin stimulates the growth of endometri-
otic epithelial cells through the JAK2/STAT3 and ERK pathways. Mol Hum
Reprod. 2013;19:160–8.
58. Ceddia RB, William WN, Curi R. Comparing effects of leptin and insulin on
glucose metabolism in skeletal muscle: evidence for an effect of leptin on
glucose uptake and decarboxylation. Int J Obes. 1999;23:75–82.
59. Qi X, Zhang Y, Ji H, Wu X, Wang F, Xie M, et al. Knockdown of prohibi-
tin expression promotes glucose metabolism in eutopic endometrial
stromal cells from women with endometriosis. Reprod Biomed Online.
2014;29:761–70.
60. Wang Y, Xiu J, Yang T, Ren C, Yu Z. HSF1 promotes endometriosis develop-
ment and glycolysis by up-regulating PFKFB3 expression. Reprod Biol
Endocrinol. 2021;19:86.
61. Li X, Yang Y, Zhang B, Lin X, Fu X, An Y, et al. Lactate metabolism in human
health and disease. Signal Transduct Target Ther. 2022;7:305.
62. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE,
et al. Diet rapidly and reproducibly alters the human gut microbiome.
Nature. 2014;505:559–63.
63. Ni J, Wu GD, Albenberg L, Tomov VT. Gut microbiota and IBD: causation or
correlation? Nat Rev Gastroenterol Hepatol. 2017;14:573–84.
64. Raftery AL, Tsantikos E, Harris NL, Hibbs ML. Links between inflammatory
bowel disease and chronic obstructive pulmonary disease. Front Immu-
nol. 2020;11:2144.
65. Yuan M, Li D, Zhang Z, Sun H, An M, Wang G. Endometriosis induces gut
microbiota alterations in mice. Hum Reprod Oxf Engl. 2018;33:607–16.
66. Chadchan SB, Cheng M, Parnell LA, Yin Y, Schriefer A, Mysorekar IU, et al.
Antibiotic therapy with metronidazole reduces endometriosis disease
progression in mice: a potential role for gut microbiota. Hum Reprod Oxf
Engl. 2019;34:1106–16.
67. Chadchan SB, Naik SK, Popli P , Talwar C, Putluri S, Ambati CR, et al. Gut
microbiota and microbiota-derived metabolites promotes endometriosis.
Cell Death Discov. 2023;9:28.
68. Shan J, Ni Z, Cheng W, Zhou L, Zhai D, Sun S, et al. Gut microbiota
imbalance and its correlations with hormone and inflammatory fac-
tors in patients with stage 3/4 endometriosis. Arch Gynecol Obstet.
2021;304:1363–73.
69. Everard A, Belzer C, Geurts L, Ouwerkerk JP , Druart C, Bindels LB,
et al. Cross-talk between Akkermansia muciniphila and intestinal
epithelium controls diet-induced obesity. Proc Natl Acad Sci U S A.
2013;110:9066–71.
70. Li J, Zhao F, Wang Y, Chen J, Tao J, Tian G, et al. Gut microbiota dysbiosis
contributes to the development of hypertension. Microbiome. 2017;5:14.
71. Yang M, Bose S, Lim S, Seo J, Shin J, Lee D, et al. Beneficial effects of newly
isolated Akkermansia muciniphila strains from the human gut on obesity
and metabolic dysregulation. Microorganisms. 2020;8:1413.
72. Muraoka A, Suzuki M, Hamaguchi T, Watanabe S, Iijima K, Murofushi Y,
et al. Fusobacterium infection facilitates the development of endome-
triosis through the phenotypic transition of endometrial fibroblasts. Sci
Transl Med. 2023;15:eadd1531.
73. Capobianco A, Rovere-Querini P . Endometriosis, a disease of the mac-
rophage. Front Immunol. 2013;4:9.
Page 15 of 15
Parpex et al. BMC Medicine (2024) 22:513
74. Li M-Z, Wu Y-H, Ali M, Wu X-Q, Nie M-F. Endometrial stromal cells treated
by tumor necrosis factor-α stimulate macrophages polarized toward
M2 via interleukin-6 and monocyte chemoattractant protein-1. J Obstet
Gynaecol Res. 2020;46:293–301.
75. Johan MZ, Ingman WV, Robertson SA, Hull ML. Macrophages infiltrating
endometriosis-like lesions exhibit progressive phenotype changes in a
heterologous mouse model. J Reprod Immunol. 2019;132:1–8.
76. Christ A, Günther P , Lauterbach MAR, Duewell P , Biswas D, Pelka K, et al.
Western diet triggers NLRP3-dependent innate immune reprogramming.
Cell. 2018;172:162-175.e14.
77. Peña-Cearra A, Palacios A, Pellon A, Castelo J, Pasco ST, Seoane I, et al.
Akkermansia muciniphila-induced trained immune phenotype increases
bacterial intracellular survival and attenuates inflammation. Commun
Biol. 2024;7:192.
78. Chumpitazi BP , Cope JL, Hollister EB, Tsai CM, McMeans AR, Luna RA, et al.
Randomised clinical trial: gut microbiome biomarkers are associated
with clinical response to a low FODMAP diet in children with the irritable
bowel syndrome. Aliment Pharmacol Ther. 2015;42:418–27.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.