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Multiomics unravels the complexity of male obesity: a prospective observational study
Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach. Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery...
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Published in: | Journal of translational medicine 2025-01, Vol.23 (1), p.138-16, Article 138 |
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creator | Papadakis, Georgios E Favre, Lucie Zouaghi, Yassine Vionnet, Nathalie Niederländer, Nicolas J Adamo, Michela Acierno, James S Berdous, Dassine Boizot, Alexia Meylan, Jenny Ivanisevic, Julijana Paccou, Emmanuelle Gallart-Ayala, Hector Reyns, Tim Van Caeneghem, Elise Lapauw, Bruno Pasquier, Jérôme Aleman, Yasser Mantziari, Styliani Salamin, Olivier Nicoli, Raul Kuuranne, Tiia Fiers, Tom Hagmann, Patric Santoni, Federico Messina, Andrea Pitteloud, Nelly |
description | Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed. Nine healthy adults served as controls. Deep phenotyping, including targeted metabolomics, transcriptomics, and brain magnetic resonance imaging (MRI), was performed.
Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). Despite having comparable body mass indices, obese individuals with HH presented with worse metabolic defects than obese individuals without HH, including higher insulin resistance, as well as MRI signs of hypothalamic inflammation and a specific blood transcriptomics signature. The upregulated genes were involved mainly in inflammation, mitochondrial function, and protein translation. Integration of gene expression and clinical data revealed high FGF21 and low cortisol levels as the top markers correlated with the transcriptomic signature of metabolic risk. Following RYGB-induced substantial weight loss, testosterone levels markedly increased in both obese individuals with and without HH, challenging the current definition of hypogonadism. A longitudinal study in a subset of men with obesity following bariatric surgery revealed a unique FGF21 trajectory with a sharp peak at one month post-RYGB that correlated with metabolic and reproductive improvements.
Combining clinical, biochemical, and molecular markers allows adequate stratification of metabolic risk in men with obesity and provides novel tools for personalized care. |
doi_str_mv | 10.1186/s12967-024-06040-7 |
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Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed. Nine healthy adults served as controls. Deep phenotyping, including targeted metabolomics, transcriptomics, and brain magnetic resonance imaging (MRI), was performed.
Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). Despite having comparable body mass indices, obese individuals with HH presented with worse metabolic defects than obese individuals without HH, including higher insulin resistance, as well as MRI signs of hypothalamic inflammation and a specific blood transcriptomics signature. The upregulated genes were involved mainly in inflammation, mitochondrial function, and protein translation. Integration of gene expression and clinical data revealed high FGF21 and low cortisol levels as the top markers correlated with the transcriptomic signature of metabolic risk. Following RYGB-induced substantial weight loss, testosterone levels markedly increased in both obese individuals with and without HH, challenging the current definition of hypogonadism. A longitudinal study in a subset of men with obesity following bariatric surgery revealed a unique FGF21 trajectory with a sharp peak at one month post-RYGB that correlated with metabolic and reproductive improvements.
Combining clinical, biochemical, and molecular markers allows adequate stratification of metabolic risk in men with obesity and provides novel tools for personalized care.</description><identifier>ISSN: 1479-5876</identifier><identifier>EISSN: 1479-5876</identifier><identifier>DOI: 10.1186/s12967-024-06040-7</identifier><identifier>PMID: 39885510</identifier><language>eng</language><publisher>England: BMC</publisher><subject>Adult ; Bariatric surgery ; Case-Control Studies ; Humans ; Hypogonadism ; Magnetic Resonance Imaging ; Male ; Male obesity ; Metabolic risk stratification ; Metabolomics ; Middle Aged ; Multiomics ; Obesity - complications ; Phenotype ; Prospective Studies ; Testosterone - blood ; Transcriptome - genetics ; Transcriptomics</subject><ispartof>Journal of translational medicine, 2025-01, Vol.23 (1), p.138-16, Article 138</ispartof><rights>2025. The Author(s).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-307afb650208254dd0cae705f4ac59a22aa65920ac9a7cc8079f938c62a9f5533</cites><orcidid>0000-0003-0971-3237</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39885510$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Papadakis, Georgios E</creatorcontrib><creatorcontrib>Favre, Lucie</creatorcontrib><creatorcontrib>Zouaghi, Yassine</creatorcontrib><creatorcontrib>Vionnet, Nathalie</creatorcontrib><creatorcontrib>Niederländer, Nicolas J</creatorcontrib><creatorcontrib>Adamo, Michela</creatorcontrib><creatorcontrib>Acierno, James S</creatorcontrib><creatorcontrib>Berdous, Dassine</creatorcontrib><creatorcontrib>Boizot, Alexia</creatorcontrib><creatorcontrib>Meylan, Jenny</creatorcontrib><creatorcontrib>Ivanisevic, Julijana</creatorcontrib><creatorcontrib>Paccou, Emmanuelle</creatorcontrib><creatorcontrib>Gallart-Ayala, Hector</creatorcontrib><creatorcontrib>Reyns, Tim</creatorcontrib><creatorcontrib>Van Caeneghem, Elise</creatorcontrib><creatorcontrib>Lapauw, Bruno</creatorcontrib><creatorcontrib>Pasquier, Jérôme</creatorcontrib><creatorcontrib>Aleman, Yasser</creatorcontrib><creatorcontrib>Mantziari, Styliani</creatorcontrib><creatorcontrib>Salamin, Olivier</creatorcontrib><creatorcontrib>Nicoli, Raul</creatorcontrib><creatorcontrib>Kuuranne, Tiia</creatorcontrib><creatorcontrib>Fiers, Tom</creatorcontrib><creatorcontrib>Hagmann, Patric</creatorcontrib><creatorcontrib>Santoni, Federico</creatorcontrib><creatorcontrib>Messina, Andrea</creatorcontrib><creatorcontrib>Pitteloud, Nelly</creatorcontrib><title>Multiomics unravels the complexity of male obesity: a prospective observational study</title><title>Journal of translational medicine</title><addtitle>J Transl Med</addtitle><description>Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed. Nine healthy adults served as controls. Deep phenotyping, including targeted metabolomics, transcriptomics, and brain magnetic resonance imaging (MRI), was performed.
Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). Despite having comparable body mass indices, obese individuals with HH presented with worse metabolic defects than obese individuals without HH, including higher insulin resistance, as well as MRI signs of hypothalamic inflammation and a specific blood transcriptomics signature. The upregulated genes were involved mainly in inflammation, mitochondrial function, and protein translation. Integration of gene expression and clinical data revealed high FGF21 and low cortisol levels as the top markers correlated with the transcriptomic signature of metabolic risk. Following RYGB-induced substantial weight loss, testosterone levels markedly increased in both obese individuals with and without HH, challenging the current definition of hypogonadism. A longitudinal study in a subset of men with obesity following bariatric surgery revealed a unique FGF21 trajectory with a sharp peak at one month post-RYGB that correlated with metabolic and reproductive improvements.
Combining clinical, biochemical, and molecular markers allows adequate stratification of metabolic risk in men with obesity and provides novel tools for personalized care.</description><subject>Adult</subject><subject>Bariatric surgery</subject><subject>Case-Control Studies</subject><subject>Humans</subject><subject>Hypogonadism</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Male obesity</subject><subject>Metabolic risk stratification</subject><subject>Metabolomics</subject><subject>Middle Aged</subject><subject>Multiomics</subject><subject>Obesity - complications</subject><subject>Phenotype</subject><subject>Prospective Studies</subject><subject>Testosterone - blood</subject><subject>Transcriptome - genetics</subject><subject>Transcriptomics</subject><issn>1479-5876</issn><issn>1479-5876</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNkU1v1DAQhi1ERT_gD3BAPnIJjO34ixuqaKlU1As9WxNnDKmc9RInq-6_J9stFaf50DvPaOZl7L2AT0I487kK6Y1tQLYNGGihsa_YmWitb7Sz5vV_-Sk7r_UBVqVu_Rt2qrxzWgs4Y_c_ljwPZRxi5ctmwh3lyuffxGMZt5keh3nPS-IjZuKlo7rWXzjy7VTqluI87A7tStMOV8oGM6_z0u_fspOEudK753jB7q--_bz83tzeXd9cfr1tovTt3CiwmDqjQYKTuu17iEgWdGoxao9SIhrtJWD0aGN0YH3yykUj0SetlbpgN0duX_AhbKdhxGkfCg7hqVGmXwGneYiZgvJCqNRJIWNqY4IuGQURnHfUkXIH1scja73tz0J1DuNQI-WMGypLDUoY4YU21q1SeZTG9Q11ovSyWkA4WBOO1oT14eHJmmDXoQ_P_KUbqX8Z-eeF-gsvM4pH</recordid><startdate>20250130</startdate><enddate>20250130</enddate><creator>Papadakis, Georgios E</creator><creator>Favre, Lucie</creator><creator>Zouaghi, Yassine</creator><creator>Vionnet, Nathalie</creator><creator>Niederländer, Nicolas J</creator><creator>Adamo, Michela</creator><creator>Acierno, James S</creator><creator>Berdous, Dassine</creator><creator>Boizot, Alexia</creator><creator>Meylan, Jenny</creator><creator>Ivanisevic, Julijana</creator><creator>Paccou, Emmanuelle</creator><creator>Gallart-Ayala, Hector</creator><creator>Reyns, Tim</creator><creator>Van Caeneghem, Elise</creator><creator>Lapauw, Bruno</creator><creator>Pasquier, Jérôme</creator><creator>Aleman, Yasser</creator><creator>Mantziari, Styliani</creator><creator>Salamin, Olivier</creator><creator>Nicoli, Raul</creator><creator>Kuuranne, Tiia</creator><creator>Fiers, Tom</creator><creator>Hagmann, Patric</creator><creator>Santoni, Federico</creator><creator>Messina, Andrea</creator><creator>Pitteloud, Nelly</creator><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0971-3237</orcidid></search><sort><creationdate>20250130</creationdate><title>Multiomics unravels the complexity of male obesity: a prospective observational study</title><author>Papadakis, Georgios E ; 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In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed. Nine healthy adults served as controls. Deep phenotyping, including targeted metabolomics, transcriptomics, and brain magnetic resonance imaging (MRI), was performed.
Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). Despite having comparable body mass indices, obese individuals with HH presented with worse metabolic defects than obese individuals without HH, including higher insulin resistance, as well as MRI signs of hypothalamic inflammation and a specific blood transcriptomics signature. The upregulated genes were involved mainly in inflammation, mitochondrial function, and protein translation. Integration of gene expression and clinical data revealed high FGF21 and low cortisol levels as the top markers correlated with the transcriptomic signature of metabolic risk. Following RYGB-induced substantial weight loss, testosterone levels markedly increased in both obese individuals with and without HH, challenging the current definition of hypogonadism. A longitudinal study in a subset of men with obesity following bariatric surgery revealed a unique FGF21 trajectory with a sharp peak at one month post-RYGB that correlated with metabolic and reproductive improvements.
Combining clinical, biochemical, and molecular markers allows adequate stratification of metabolic risk in men with obesity and provides novel tools for personalized care.</abstract><cop>England</cop><pub>BMC</pub><pmid>39885510</pmid><doi>10.1186/s12967-024-06040-7</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-0971-3237</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Bariatric surgery Case-Control Studies Humans Hypogonadism Magnetic Resonance Imaging Male Male obesity Metabolic risk stratification Metabolomics Middle Aged Multiomics Obesity - complications Phenotype Prospective Studies Testosterone - blood Transcriptome - genetics Transcriptomics |
title | Multiomics unravels the complexity of male obesity: a prospective observational study |
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