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Wu S, Li H, Yu M, Hu X, Chao S, Yang F, Qin S. Metabolic profiling of the Chinese population with extreme longevity identifies Lysophospholipid species as potential biomarkers for the human lifespan. Maturitas 2025; 198:108379. [PMID: 40315554 DOI: 10.1016/j.maturitas.2025.108379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 04/06/2025] [Accepted: 04/24/2025] [Indexed: 05/04/2025]
Abstract
BACKGROUND Metabolic regulation plays a crucial role in extending the healthspan and lifespan across multiple organisms, including humans. Although numerous studies have identified the characteristics of the metabolome and potential biomarkers in long-lived populations worldwide, the metabolome landscape of Chinese centenarians remains largely unknown. This study characterised the plasma metabolic profiles of Chinese centenarians and nonagenarians and identified potential biomarkers of longevity. METHODS A global untargeted metabolomics approach was used to analyze plasma samples from 65 centenarians (average age 101.72 ± 1.46 years), 53 nonagenarians (average age 98.92 ± 0.27 years), 47 older individuals (average age 64.66 ± 3.31 years), and 35 middle-aged participants (average age 33.91 ± 3.53 years) recruited from the Lishui region, an area of China well known for the longevity of its population. RESULTS The plasma metabolic profiles of centenarians and nonagenarians differed significantly from those of the two younger populations. Specifically, 211 and 114 differentially abundant metabolites (DAMs) were identified in the centenarian and nonagenarian groups, respectively. The majority of these DAMs were glycerophosphoethanolamines, glycerophosphocholines, fatty esters, fatty alcohols, fatty acyls, and fatty acids and conjugates. For example, the circulating levels of LysoPA (20:2), LysoPA (20:3), LysoPC (16:0), LysoPC (18:2), and LysoPE (20:4) were significantly lower in centenarians than in the older and middle-aged groups. A similar pattern was also observed in the nonagenarian population. Notably, the plasma levels of five DAMs - LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), PG (18:0/18:1), and PG (18:1/18:2) - were significantly and continuously reduced with the ageing process. Pearson correlation analysis revealed that the reduced abundance of LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), LysoPE (24:0), PG (18:0/18:1), and PG (18:1/18:2) was significantly and negatively associated with lifespan, from middle-age to centenarian. ROC analysis indicated that LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), LysoPE (24:0), PG (18:0/18:1), and PG (18:1/18:2), as well as the combination of these six DAMs (AUC = 0.9074), had high predictive power for the human longevity phenotype. CONCLUSION This study elucidated the plasma metabolic landscape of centenarians and nonagenarians in China and identified several potential biomarkers for predicting human lifespan. Our findings will aid in understanding the metabolic regulation of longevity and may promote the clinical practice of gerontology in the future.
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Affiliation(s)
- Shaochang Wu
- Department of Geriatrics, Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Lishui Second People's Hospital, Lishui, China
| | - He Li
- Department of Geriatrics, Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Lishui Second People's Hospital, Lishui, China
| | - Maoqiang Yu
- Department of Geriatrics, Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Lishui Second People's Hospital, Lishui, China
| | - Xiaogang Hu
- Department of Geriatrics, Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Lishui Second People's Hospital, Lishui, China
| | - Shan Chao
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
| | - Fan Yang
- Department of Geriatrics, Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Lishui Second People's Hospital, Lishui, China; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
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Zhang N, Lundbergh B, Guasch-Ferré M. Recent advances in applying metabolomics to uncover dietary impact on cardiometabolic health. Curr Opin Lipidol 2025; 36:1-7. [PMID: 39569665 DOI: 10.1097/mol.0000000000000964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
PURPOSE OF REVIEW Cardiometabolic diseases are a major global health concern, with diet playing a crucial role in their prevention and management. Recent advancements in the identification of metabolic signatures related to dietary patterns offer a more objective assessment of individualized dietary exposure and provide deeper insights into diet-disease associations. RECENT FINDINGS Recent studies have shown that distinct metabolic signatures are associated with the adherence to various dietary patterns. These signatures show even stronger associations with cardiometabolic disease incidence, independent of traditional risk factors and self-reported adherence to such dietary patterns. Emerging dietary approaches, such as sustainable diets, health outcome-focused diets, and population data-driven dietary patterns, also hold promise for improving cardiometabolic health. Additionally, metabolic signatures could offer insights into diet-disease associations in underrepresented populations, addressing genetic and lifestyle differences. SUMMARY Application of metabolomics provides a more precise understanding of how dietary patterns influence cardiometabolic health. Although the number of studies remains limited, and current evidence is inconsistent, the approach has significant potential for improving clinical and public health strategies. Future research should prioritize prospective studies and address population- and outcome-specific dietary needs to enable targeted interventions that optimize cardiometabolic health.
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Affiliation(s)
- Naixin Zhang
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Che X, Hong X, Gross S, Pearson C, Bartell T, Wang X, Wang G. Maternal Mediterranean-Style Diet Adherence during Pregnancy and Metabolomic Signature in Postpartum Plasma: Findings from the Boston Birth Cohort. J Nutr 2024; 154:846-855. [PMID: 38278216 PMCID: PMC10942856 DOI: 10.1016/j.tjnut.2024.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/11/2023] [Accepted: 01/19/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND The health benefits of a Mediterranean-style diet (MSD) are well observed, but the underlying mechanisms are unclear. Metabolomic profiling offers a systematic approach for identifying which metabolic biomarkers and pathways might be affected by an MSD. OBJECTIVES This study aimed to identify postpartum plasma metabolites that are associated with MSD adherence during pregnancy and to further test whether these identified metabolites may vary by maternal characteristics. METHODS We analyzed data from 1410 mothers enrolled in the Boston Birth Cohort (BBC). A maternal food frequency questionnaire (FFQ) was administered and epidemiologic information was obtained via an in-person standard questionnaire interview within 24-72 h postpartum. Maternal clinical information was extracted from electronic medical records. A Mediterranean-style diet score (MSDS) was calculated using responses to the FFQ. Metabolomic profiling in postpartum plasma was conducted by liquid chromatography-MS. Linear regression models were used to assess the associations of each metabolite with an MSDS, adjusting for covariates. RESULTS Among the 380 postpartum plasma metabolites analyzed, 24 were associated with MSDS during pregnancy (false discovery rate < 0.05). Of 24 MSDS-associated metabolites, 19 were lipids [for example, triacylglycerols, phosphatidylcholines (PCs), PC plasmalogen, phosphatidylserine, and phosphatidylethanolamine]; others were amino acids (methionine sulfoxide and threonine), tropane (nor-psi-tropine), vitamin (vitamin A), and nucleotide (adenosine). The association of adenosine and methionine sulfoxide with MSDS differed by race (P-interaction = 0.033) and maternal overweight or obesity status (P-interaction = 0.021), respectively. CONCLUSIONS In the BBC, we identified 24 postpartum plasma metabolites associated with MSDS during pregnancy. The associations of the 2 metabolites varied by maternal race and BMI. This study provides a new insight into dietary effects on health under the skin. More studies are needed to better understand the metabolic pathways underlying the short- and long-term health benefits of an MSD during pregnancy.
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Affiliation(s)
- Xiaoyu Che
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Xiumei Hong
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Susan Gross
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Colleen Pearson
- Department of Pediatrics, Boston University Chobanian and Avedisian School of Medicine and Boston Medical Center, Boston, MA, United States
| | - Tami Bartell
- Patrick M. Magoon Institute for Healthy Communities, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Guoying Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
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Shoer S, Shilo S, Godneva A, Ben-Yacov O, Rein M, Wolf BC, Lotan-Pompan M, Bar N, Weiss EI, Houri-Haddad Y, Pilpel Y, Weinberger A, Segal E. Impact of dietary interventions on pre-diabetic oral and gut microbiome, metabolites and cytokines. Nat Commun 2023; 14:5384. [PMID: 37666816 PMCID: PMC10477304 DOI: 10.1038/s41467-023-41042-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/17/2023] [Indexed: 09/06/2023] Open
Abstract
Diabetes and associated comorbidities are a global health threat on the rise. We conducted a six-month dietary intervention in pre-diabetic individuals (NCT03222791), to mitigate the hyperglycemia and enhance metabolic health. The current work explores early diabetes markers in the 200 individuals who completed the trial. We find 166 of 2,803 measured features, including oral and gut microbial species and pathways, serum metabolites and cytokines, show significant change in response to a personalized postprandial glucose-targeting diet or the standard of care Mediterranean diet. These changes include established markers of hyperglycemia as well as novel features that can now be investigated as potential therapeutic targets. Our results indicate the microbiome mediates the effect of diet on glycemic, metabolic and immune measurements, with gut microbiome compositional change explaining 12.25% of serum metabolites variance. Although the gut microbiome displays greater compositional changes compared to the oral microbiome, the oral microbiome demonstrates more changes at the genetic level, with trends dependent on environmental richness and species prevalence in the population. In conclusion, our study shows dietary interventions can affect the microbiome, cardiometabolic profile and immune response of the host, and that these factors are well associated with each other, and can be harnessed for new therapeutic modalities.
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Affiliation(s)
- Saar Shoer
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center, Petah Tikva, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Bat Chen Wolf
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Ervin I Weiss
- Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Prosthodontics, The Hebrew University-Hadassah School of Dental Medicine, Jerusalem, Israel
| | - Yael Houri-Haddad
- Department of Prosthodontics, The Hebrew University-Hadassah School of Dental Medicine, Jerusalem, Israel
| | - Yitzhak Pilpel
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
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