Clinical trial NCT05496218: Metabolomic Profile in Women With and Without Endometriosis
Official title: Metabolomic Profile in Women With and Without Endometriosis: a Case-control Study
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Endometriosis
Endometriosis-related Pain
Infertility
Keywords: Metabolomics
Personalized medicine
Diagnosis
Lead sponsor: Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
Sponsor class: OTHER
First posted: 2022-08-11
Enrollment: 400
Sex: FEMALE
Minimum age (years): 18
Maximum age (years): 45
Standard ages: ADULT
Accepts healthy volunteers: yes
Allocation: NON_RANDOMIZED
Intervention model: PARALLEL
Intervention model description: Single-center case-control study.
Primary purpose: DIAGNOSTIC

Brief summary: The pathogenesis of endometriosis is very complex as several factors, including genetic, environmental and lifestyle-related factors, are involved in the development, progression and maintenance of the disease. In particular, there are emerging evidences that prostaglandin metabolism, chronic inflammatory processes and circulating estrogen levels are involved in the pathogenesis of endometriosis. Pelvic pain, in particular dysmenorrhea, is the most typical symptom caused by the production of prostaglandins and pain mediators associated with the peritoneal inflammatory state.

Metabolomics strives to measure all metabolites, such as sugars, amino acids, acylcarnitines, organic acids, and lipids, present in a given biological sample. Thus, metabolomics represents a reflection of phenotypic changes in an organism in response to the presence of a certain disease, genetic changes, and nutritional, toxicological, environmental, and pharmacological influences, providing a means to more accurately capture exogenous exposures and evaluate endogenous biomarkers.

Regarding endometriosis, the targeted metabolomics studies focused mainly on lipids, and the non-targeted studies also identified mainly lipids, amino acids, and intermediary metabolites as the most important variables.

The combinations of metabolomics data together with clinical ones are of utmost importance in endometriosis research. This approach might lead to the construction of models/algorithms useful to better define diagnostic/prognostic characteristics of women who have endometriosis, identify environmental and modifiable risk factors, elucidate pathogenetic mechanisms, and contribute to better tailor medical treatments.

In particular, metabolomics may provide a means to capture exogenous exposures and evaluate endogenous biomarkers more accurately.

The main objective of the present research project is to evaluate potential variations in the plasma metabolomic profile of women affected by endometriosis (as compared with a control group) as a consequence of pathophysiologic alterations associated with this disorder.

Secondary objectives are:

1. to evaluate potential variations in the plasma metabolomic profile of endometriosis patients with different phenotypes of the disease: peritoneal endometriosis, ovarian endometriosis, deep infiltrating endometriosis;
2. to evaluate potential variations in the plasma metabolomic profile of endometriosis patients in relation to the presence of endometriosis-related painful symptoms and/or infertility.

There is strong evidence that endometriosis has a negative impact on women's quality of life, with severe long-term consequences and substantial social costs. Our findings might lead to the construction of models/algorithms useful to better define diagnostic/prognostic characteristics of women who have endometriosis, identify environmental and modifiable risk factors, elucidate pathogenetic mechanisms, and contribute to better tailoring medical treatments.

Detailed description: Endometriosis is defined as the presence of endometrial glands and stroma outside the uterine cavity. It is an estrogen-dependent chronic inflammatory disease, in which the ectopic endometrium grows and proliferate under the action of estradiol, which plays a pro-inflammatory and anti-apoptotic role. Ectopic endometrium can be found on the ovaries in the pelvic peritoneum, rectovaginal septum, and other pelvic sites; this thus defines at least three different entities: peritoneal, ovarian, and deep infiltrating endometriosis. Estimates show that up to 10% of premenopausal women and 35% to 50% of women with infertility, pelvic pain or both have endometriosis. Pelvic pain, in particular dysmenorrhea, is the most typical symptom of endometriosis, caused by the production of prostaglandins and pain mediators associated with the peritoneal inflammatory state. Thus, endometriosis significantly impairs the quality of life of women, with substantial social costs. The pathogenesis of endometriosis is very complex as several factors, including genetic, environmental and lifestyle-related factors, are involved in the development, progression and maintenance of the disease. In particular, there are emerging evidences that prostaglandin metabolism, chronic inflammatory processes and circulating estrogen levels are involved in the pathogenesis of endometriosis.

Metabolomics strives to measure all metabolites, such as sugars, amino acids, acylcarnitines, organic acids, and lipids, present in a given biological sample. Metabolomics represents a reflection of phenotypic changes in an organism in response to the presence of a certain disease, genetic changes, and nutritional, toxicological, environmental, and pharmacological influences.

In particular, metabolomics may provide a means to capture exogenous exposures and evaluate endogenous biomarkers more accurately. For example, a study on nutritional metabolomics and breast cancer risk- an estrogen-dependent disease as endometriosis and that shares similar diet-related risk factors such as high intake of alcohol, red meat and low intake of fruits and vegetables - found that pre-diagnostic serum concentrations of metabolites related to alcohol, vitamin E, and animal fats were associated with estrogen receptor positive (ER+) breast cancer risk.

Regarding endometriosis, the targeted metabolomics studies focused mainly on lipids, and the non-targeted studies also identified mainly lipids, amino acids, and intermediary metabolites as the most important variables.

The combinations of metabolomics data together with clinical ones are of utmost importance in endometriosis research.

This approach might lead to the construction of models/algorithms useful to better define diagnostic/prognostic characteristics of women who have endometriosis, identify environmental and modifiable risk factors, elucidate pathogenetic mechanisms, and contribute to better tailoring medical treatments.

As preliminary evidence suggests that endometriosis causes metabolic dysregulation, the investigators hypothesize that metabolomics could represent a promising method to diagnose women with endometriosis and women without endometriosis early.

Moreover, the investigators hypothesized that the metabolic approach could represent a possible diagnostic tool that allows a better description of the disease phenotype (peritoneal, ovarian or deep infiltrating endometriosis), identifying new biomarkers and clarifying the metabolic pathways involved in the disease. In addition, this approach could represent a valuable tool to early identify women with endometriosis at risk to develop painful symptoms and/or infertility.

There is strong evidence that endometriosis has a negative impact on women's quality of life, with severe long-term consequences that should be carefully addressed in developing national healthcare programs. Our findings may lead to the implementation of more effective instruments for early diagnosis and tools for identifying environmental and modifiable risk factors, particularly in relation to nutrition, elucidating the underlying pathogenetic mechanisms.

Preliminary data:

The first metabolomics study to identify novel biomarkers of endometriosis was published in 2012. In addition, a systematic review was recently published about the contribution of metabolomics to the identification of diagnostic and prognostic biomarkers for uterine diseases, including 17 studies on endometriosis. The targeted metabolomics studies focused mainly on lipids, and the non-targeted studies also identified mainly lipids, amino acids, and intermediary metabolites as the most important variables. The highest diagnostic accuracies were reported for the plasma/serum metabolic signatures that separated healthy women from endometriosis patients. For stratification between infertile women and endometriosis patients, a panel of serum metabolites was identified in a small case/control discovery study, with a high AUC of 0.99: lactate, 2-hydroxybutyrate, succinate, and lysine, the data on this issue are however very limited.

Eligibility criteria: Inclusion Criteria:

1. Endometriosis group.

   * are women aged 18-45
   * histologically confirmed diagnosis of endometriosis consecutively observed at the "Endometriosis center" Fondazione IRCCS Ospedale Maggiore Policlinico, Milan.
   * Only incident cases (i.e. diagnosis within three months before study entry) will be eligible.
2. Control group are women aged 18-45 surgically verified not to have endometriosis. In this group, the indications for surgery will be abdominal surgical emergencies, tubal infertility, non-endometriotic ovarian cysts, or uterine fibroids. Controls will be identified consecutively at the same institution where cases have been identified.

Exclusion Criteria:

1. Endometriosis group:

   * the presence of diseases causing pelvic pain other than endometriosis,
   * hormonal treatment in the past two months before surgery,
   * menopausal state
   * pregnancy
   * gynecological cancers
   * pelvic inflammatory disease
2. Control group:

   * hormonal treatment in the past two months before surgery
   * menopausal state
   * pregnancy
   * gynecological cancers.
   * pelvic inflammatory disease

Primary outcomes:
measure: Determination of plasma metabolomic profile using an LC-MS/MS targeted metabolomic method
timeFrame: 24 months
Secondary outcomes:
measure: Relation between Plasma metabolomic profile and endometriosis phenotypes through a questionnaire
timeFrame: 24 months
measure: Plasma metabolomic profile and fertility in terms of pregnancy rate
timeFrame: 24 months
measure: Relation between Plasma metabolomic profile and pelvic pain evaluated through visual-analogue scale (VAS)
timeFrame: 24 months
measure: Plasma metabolomic profile and dietary exposure through food frequency questionnaire (FFQ)
timeFrame: 24 months
Other outcomes:
Locations:
city: Milan
country: Italy
facility: Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
Study officials:
affiliation: Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
name: Paolo Vercellini, Prof.
role: PRINCIPAL_INVESTIGATOR
References: