Personalized Signature of Chronic Inflammation and Early Aging Predictive of the Comorbidities in Infertile Men

October 9, 2023 updated by: Andrea Salonia, IRCCS San Raffaele

Definition of a Personalized Signature of Chronic Inflammation and Early Aging Predictive of the Development of Comorbidities in Infertile Men

The aim of the project is identify new biomarkers and/or prognostic factors in order to develop personalized strategies to prevent the onset of tumor and/or non tumor comorbidity in infertile men.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Infertility is a disease of nearly endemic proportions, affecting up to 15% of couples of reproductive ages. Overall, a pure male factor infertility underlies the problem in at least 30% of cases. General health status in infertile men is gaining increasing clinical attention throughout the last decades. Indeed, infertile men were shown to be at increased risk of nononcologic and oncologic morbidity and mortality compared to age-comparable fertile ones. Despite emerging and solid epidemiological studies, the common ground fostering overall health status and male infertility is still far from being understood. Notwithstanding the numerous hypotheses that have been considered to explain the potential link overall men's health status and male infertility - e.g., including genetic, endocrinological, and metabolic abnormalities - the exact nature of these associations remains unclear. Recent clinical findings showed evidence of onset of age-related comorbidities 10-15 years earlier in infertile compared to fertile men. Single-cell transcriptome profiling of testes of men with idiopathic germ cell aplasia revealed an immature testis with a somatic environment stuck at puberty with immaturity of Leydig cells associated with chronic tissue inflammation, fibrosis, and senescence phenotype of the somatic cells, as well markers of chronic inflammation in the blood. Compelling evidence indicate that defects in the regulatory arms of the immune system and metabolic status can be associated with the risk of developing numerous oncological and non-oncological diseases. Thus far, limited reliable data on the immunological status of infertile men are available. Preliminary data from the coordinating group of the project revealed increased pro-inflammatory cells and reduced T cells in peripheral blood of infertile men. Moreover, the few T cells observed in infertile men displayed an exhausted phenotype. The investigators proposed an innovative multidisciplinary approach to identify causal links between infertility as a disease and chronic inflammation and comorbidities. Moreover, the investigators aim at identifying novel prognostic biomarkers/tools toward the development of tailored prevention strategies of severe comorbidities in infertile men. They will combine extensive clinical data of a unique and homogenous cohort of infertile men and controls with state-of-the art transcriptomic approaches, a comprehensive monitoring and functional characterization of adaptive and innate immune cells, and the endocrine-metabolomic signature of men with primary infertility. The success of our strategy will be instrumental for defining novel molecular causes of male infertility, along with the pathophysiological mechanism behind the higher burden of comorbid conditions. Results will provide information on cell compartments, and the senescent and endocrine status, mostly in men with primary idiopathic infertility, and new insights into the etiology responsible for the early onset of comorbidities in infertile men. This will represent a breakthrough in the infertility field and a major advancement towards better caring of male patients and healthy ageing in the real-life setting and will set the stage for the development of more tailored clinical approaches to prevent malignant and nonmalignant comorbidities in infertile men. Thereof, the findings of the research project will have a significant rebound in terms of cost-effectiveness on the national health system.

Study Type

Observational

Enrollment (Estimated)

350

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Lombardy
      • Milan, Lombardy, Italy, 20132
        • Recruiting
        • Irccs Ospedale San Raffaele
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Infertile men compared to fertile men and men with uro-oncologic tumors.

Description

Inclusion Criteria:

  • Age > 18 and < 50 years;
  • White race
  • Men with OAT o iNOA infertility diagnosis
  • ability to sign the consent information

Exclusion Criteria:

  • inability to sign the consent information
  • secondary infertility diagnosis
  • history of hematological diseases
  • people treated with antibiotics in the six months prior the enrollment

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Infertile men
Men with infertility
Collection of clinical and biological material (e.g., samples of semen, stool, urine, blood, buccal swab)
Fertile men
Collection of clinical and biological material (e.g., samples of semen, stool, urine, blood, buccal swab)
Oncologic patients
Patients with kidney, bladder, chest, or pancreas tumors
Collection of clinical and biological material (e.g., samples of semen, stool, urine, blood, buccal swab)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Endocrine-metabolomic parameters
Time Frame: Baseline
Endocrine-metabolomic parameters from blood samples: Sex Hormone Binding Globulin (SHBG), 17 beta estradiol (E2), Follicle stimulating hormone (FSH), luteinizing hormone (LH), prolactin, thyroid-stimulating hormone (TSH), inhibin B, Anti-Muller Hormone (AMH), Glucose 6-phosphate Dehydrogenase (G6PD), parathyroid hormone (PTH), Vitamine D, blood glucose test, osteocalcin, Prostate Specific Antigen (PSA), albumin.
Baseline
Functional characterization of immune cells
Time Frame: Baseline

We will assess:

  • presence and frequency of different myeloid and lymphoid populations through a multi-color flow cytometry
  • the ability of Cluster of Differentiation CD4+ cells and of Cluster of Differentiation CD8+ T cells to proliferate and secrete cytokines in response to anti-Cluster of Differentiation CD3 monoclonal antibodies
  • the presence and concentration of cytokines and chemokines in the other leucocyte populations
  • Depth T cell compartments through a single cell RiboNucleic Acid-sequencing analysis
Baseline
Clinical data
Time Frame: Baseline

We will collect:

  • Clinical andrological and medical data through the physician's assessment
  • Body Mass Index (BMI)
  • waist circumference
  • a spermiogram analysis: the presence, the number, the motility, and the shape of spermatozoa
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Immunological outcomes
Time Frame: Baseline

We will assess:

  • the activation of the inflammasome
  • IL-1ß/IL-18 release in response to Toll-like receptors stimulation through Enzyme-Linked Immunosorbent Assay
  • the expression of CASP1, NLRP3, AIM2, NLRC4, ASC, and IL1B genes through real-time PCR (polymerase chain reaction)

We will assess:

  • the activation of the inflammasome
  • IL-1ß/IL-18 release in response to Toll-like receptors stimulation through Enzyme-Linked Immunosorbent Assay
  • the expression of CASP1, NLRP3, AIM2, NLRC4, ASC, and IL1B genes through real-time polymerase chain reaction (PCR)
Baseline
Senescence biomarkers
Time Frame: Baseline

We will assess:

  • senescence markers
  • mutations in a well-defined set of genes associated with normal ageing
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Andrea Salonia, MD, Irccs Ospedale San Raffaele

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 21, 2023

Primary Completion (Estimated)

June 20, 2024

Study Completion (Estimated)

June 20, 2025

Study Registration Dates

First Submitted

June 13, 2023

First Submitted That Met QC Criteria

October 9, 2023

First Posted (Actual)

October 13, 2023

Study Record Updates

Last Update Posted (Actual)

October 13, 2023

Last Update Submitted That Met QC Criteria

October 9, 2023

Last Verified

October 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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