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Sakurai M, Motoike IN, Hishinuma E, Aoki Y, Tadaka S, Kogure M, Orui M, Ishikuro M, Obara T, Nakaya N, Kumada K, Hozawa A, Kuriyama S, Yamamoto M, Koshiba S, Kinoshita K. Identifying critical age and gender-based metabolomic shifts in a Japanese population of the Tohoku Medical Megabank cohort. Sci Rep 2024; 14:15681. [PMID: 38977808 PMCID: PMC11231361 DOI: 10.1038/s41598-024-66180-0] [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: 01/24/2024] [Accepted: 06/27/2024] [Indexed: 07/10/2024] Open
Abstract
Understanding the physiological changes associated with aging and the associated disease risks is essential to establish biomarkers as indicators of biological aging. This study used the NMR-measured plasma metabolome to calculate age-specific metabolite indices. In doing so, the scope of the study was deliberately simplified to capture general trends and insights into age-related changes in metabolic patterns. In addition, changes in metabolite concentrations with age were examined in detail, with the period from 55-59 to 60-64 years being a period of significant metabolic change, particularly in men, and from 45-49 to 50-54 years in females. These results illustrate the different variations in metabolite concentrations by sex and provide new insights into the relationship between age and metabolic diseases.
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Affiliation(s)
- Miyuki Sakurai
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Eiji Hishinuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Yuichi Aoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masatsugu Orui
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan.
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan.
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Wang T, Beyene HB, Yi C, Cinel M, Mellett NA, Olshansky G, Meikle TG, Wu J, Dakic A, Watts GF, Hung J, Hui J, Beilby J, Blangero J, Kaddurah-Daouk R, Salim A, Moses EK, Shaw JE, Magliano DJ, Huynh K, Giles C, Meikle PJ. A lipidomic based metabolic age score captures cardiometabolic risk independent of chronological age. EBioMedicine 2024; 105:105199. [PMID: 38905750 DOI: 10.1016/j.ebiom.2024.105199] [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: 01/02/2024] [Revised: 05/30/2024] [Accepted: 05/30/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Metabolic ageing biomarkers may capture the age-related shifts in metabolism, offering a precise representation of an individual's overall metabolic health. METHODS Utilising comprehensive lipidomic datasets from two large independent population cohorts in Australia (n = 14,833, including 6630 males, 8203 females), we employed different machine learning models, to predict age, and calculated metabolic age scores (mAge). Furthermore, we defined the difference between mAge and age, termed mAgeΔ, which allow us to identify individuals sharing similar age but differing in their metabolic health status. FINDINGS Upon stratification of the population into quintiles by mAgeΔ, we observed that participants in the top quintile group (Q5) were more likely to have cardiovascular disease (OR = 2.13, 95% CI = 1.62-2.83), had a 2.01-fold increased risk of 12-year incident cardiovascular events (HR = 2.01, 95% CI = 1.45-2.57), and a 1.56-fold increased risk of 17-year all-cause mortality (HR = 1.56, 95% CI = 1.34-1.79), relative to the individuals in the bottom quintile group (Q1). Survival analysis further revealed that men in the Q5 group faced the challenge of reaching a median survival rate due to cardiovascular events more than six years earlier and reaching a median survival rate due to all-cause mortality more than four years earlier than men in the Q1 group. INTERPRETATION Our findings demonstrate that the mAge score captures age-related metabolic changes, predicts health outcomes, and has the potential to identify individuals at increased risk of metabolic diseases. FUNDING The specific funding of this article is provided in the acknowledgements section.
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Affiliation(s)
- Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia
| | - Habtamu B Beyene
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Changyu Yi
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | | | - Thomas G Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Jingqin Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | | | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, Australia; Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia
| | - Joseph Hung
- School of Medicine, University of Western Australia, Perth, Australia
| | - Jennie Hui
- PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia, Australia; School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia; School of Biomedical Sciences, University of Western Australia, Australia
| | - John Beilby
- PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia, Australia; School of Biomedical Sciences, University of Western Australia, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioural Sciences, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA
| | - Agus Salim
- Baker Heart and Diabetes Institute, Melbourne, Australia; Melbourne School of Population and Global Health School of Mathematics and Statistics, The University of Melbourne, Australia
| | - Eric K Moses
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | | | | | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia.
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3
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Zhang W, Yang Q, Song Y, Liu W, Li Y. Exploratory metabolomic analysis for characterizing the metabolic profile of the urinary bladder under estrogen deprivation. Front Endocrinol (Lausanne) 2024; 15:1384115. [PMID: 38883607 PMCID: PMC11176512 DOI: 10.3389/fendo.2024.1384115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/20/2024] [Indexed: 06/18/2024] Open
Abstract
Background Estrogen homeostasis is crucial for bladder function, and estrogen deprivation resulting from menopause, ovariectomy or ovarian dysfunction may lead to various bladder dysfunctions. However, the specific mechanisms are not fully understood. Methods We simulated estrogen deprivation using a rat ovariectomy model and supplemented estrogen through subcutaneous injections. The metabolic characteristics of bladder tissue were analyzed using non-targeted metabolomics, followed by bioinformatics analysis to preliminarily reveal the association between estrogen deprivation and bladder function. Results We successfully established a rat model with estrogen deprivation and, through multivariate analysis and validation, identified several promising biomarkers represented by 3, 5-tetradecadiencarnitine, lysoPC (15:0), and cortisol. Furthermore, we explored estrogen deprivation-related metabolic changes in the bladder primarily characterized by amino acid metabolism imbalance. Conclusion This study, for the first time, depicts the metabolic landscape of bladder resulting from estrogen deprivation, providing an important experimental basis for future research on bladder dysfunctions caused by menopause.
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Affiliation(s)
- Wei Zhang
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qingbo Yang
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yingying Song
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wenheng Liu
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yao Li
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
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4
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Lee BJ, Kim JU, Lee S. Association of menopausal status with body composition and anthropometric indices in Korean women. PLoS One 2024; 19:e0298212. [PMID: 38768131 PMCID: PMC11104629 DOI: 10.1371/journal.pone.0298212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 01/21/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Menopause induces various health problems and is associated with obesity, but the association between menopausal status and obesity is unclear due to several confounding factors, such as aging and reduced physical activity. The objective of this study was to examine the association of menopausal status with anthropometric indices and body composition indices in South Korean women. METHODS In this cross-sectional study, a total of 734 subjects (297 postmenopausal women, 437 premenopausal women) from five university hospitals in South Korea were included. A binary logistic regression analysis was performed to examine the association of menopause with anthropometric indices and body composition indices. RESULTS Height, body mass index, waist-to-height ratio, waist-to-hip ratio, and neck, armpit, chest, rib, waist, iliac, and hip circumferences were associated with menopausal status in the crude analysis, but these associations disappeared in the adjusted models. Among the body composition indices, menopausal status was strongly associated with total body water, skeletal muscle mass, body fat mass, and body fat percentage in the crude analysis. However, the associations with body fat mass and body fat percentage disappeared in the adjusted models. Only the associations with total body water and skeletal muscle mass remained in the adjusted models. CONCLUSION Most of the anthropometric indices and body composition indices were not associated with menopausal status, but total body water and skeletal muscle mass were significantly lower in postmenopausal women than in premenopausal women.
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Affiliation(s)
- Bum Ju Lee
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Jaeuk U. Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Sanghun Lee
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
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5
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Carland C, Zhao L, Salman O, Cohen JB, Zamani P, Xiao Q, Dongre A, Wang Z, Ebert C, Greenawalt D, van Empel V, Richards AM, Doughty RN, Rietzschel E, Javaheri A, Wang Y, Schafer PH, Hersey S, Carayannopoulos LN, Seiffert D, Chang C, Gordon DA, Ramirez‐Valle F, Mann DL, Cappola TP, Chirinos JA. Urinary Proteomics and Outcomes in Heart Failure With Preserved Ejection Fraction. J Am Heart Assoc 2024; 13:e033410. [PMID: 38639358 PMCID: PMC11179922 DOI: 10.1161/jaha.123.033410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 03/01/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Although several studies have addressed plasma proteomics in heart failure with preserved ejection fraction, limited data are available on the prognostic value of urinary proteomics. The objective of our study was to identify urinary proteins/peptides associated with death and heart failure admission in patients with heart failure with preserved ejection fraction. METHODS AND RESULTS The study population included participants enrolled in TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial). The relationship between urine protein levels and the risk of death or heart failure admission was assessed using Cox regression, in both nonadjusted analyses and adjusting for urine creatinine levels, and the MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure) score. A total of 426 (12.4%) TOPCAT participants had urinary protein data and were included. There were 40 urinary proteins/peptides significantly associated with death or heart failure admission in nonadjusted analyses, 21 of which were also significant adjusted analyses. Top proteins in the adjusted analysis included ANGPTL2 (angiopoietin-like protein 2) (hazard ratio [HR], 0.5731 [95% CI, 0.47-0.7]; P=3.13E-05), AMY2A (α amylase 2A) (HR, 0.5496 [95% CI, 0.44-0.69]; P=0.0001), and DNASE1 (deoxyribonuclease-1) (HR, 0.5704 [95% CI, 0.46-0.71]; P=0.0002). Higher urinary levels of proteins involved in fibrosis (collagen VI α-1, collagen XV α-1), metabolism (pancreatic α-amylase 2A/B, mannosidase α class 1A member 1), and inflammation (heat shock protein family D member 1, inducible T cell costimulatory ligand) were associated with a lower risk of death or heart failure admission. CONCLUSIONS Our study identifies several novel associations between urinary proteins/peptides and outcomes in heart failure with preserved ejection fraction. Many of these associations are independent of clinical risk scores and may aid in risk stratification in this patient population.
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Affiliation(s)
- Corinne Carland
- Hospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Lei Zhao
- Bristol‐Myers Squibb CompanyLawrencevilleNJUSA
| | - Oday Salman
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Jordana B. Cohen
- Hospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Payman Zamani
- Hospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Qing Xiao
- Bristol‐Myers Squibb CompanyLawrencevilleNJUSA
| | | | | | | | | | - Vanessa van Empel
- Department of CardiologyMaastricht University Medical CenterMaastrichtThe Netherlands
| | - A. Mark Richards
- Cardiovascular Research Institute, National University of SingaporeSingapore
- Christchurch Heart Institute, University of OtagoChristchurchNew Zealand
| | - Robert N. Doughty
- Christchurch Heart Institute, University of OtagoChristchurchNew Zealand
| | - Ernst Rietzschel
- Department of Cardiovascular DiseasesGhent University Hospital and Ghent UniversityGhentBelgium
| | - Ali Javaheri
- Washington University School of MedicineSt. LouisMOUSA
| | - Yixin Wang
- Bristol‐Myers Squibb CompanyLawrencevilleNJUSA
| | | | | | | | | | | | | | | | | | - Thomas P. Cappola
- Hospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Julio A. Chirinos
- Hospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
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6
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Couch CA, Ament Z, Patki A, Kijpaisalratana N, Bhave V, Jones AC, Armstrong ND, Cushman M, Kimberly WT, Irvin MR. Sex-Associated Metabolites and Incident Stroke, Incident Coronary Heart Disease, Hypertension, and Chronic Kidney Disease in the REGARDS Cohort. J Am Heart Assoc 2024; 13:e032643. [PMID: 38686877 PMCID: PMC11179891 DOI: 10.1161/jaha.123.032643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/25/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Sex disparities exist in cardiometabolic diseases. Metabolomic profiling offers insight into disease mechanisms, as the metabolome is influenced by environmental and genetic factors. We identified metabolites associated with sex and determined if sex-associated metabolites are associated with incident stoke, incident coronary heart disease, prevalent hypertension, and prevalent chronic kidney disease. METHODS AND RESULTS Targeted metabolomics was conducted for 357 metabolites in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) case-cohort substudy for incident stroke. Weighted logistic regression models were used to identify metabolites associated with sex in REGARDS. Sex-associated metabolites were replicated in the HyperGEN (Hypertension Genetic Epidemiology Network) and using the literature. Weighted Cox proportional hazard models were used to evaluate associations between metabolites and incident stroke. Cox proportional hazard models were used to evaluate associations between metabolites and incident coronary heart disease. Weighted logistic regression models were used to evaluate associations between metabolites and hypertension and chronic kidney disease. Fifty-one replicated metabolites were associated with sex. Higher levels of 6 phosphatidylethanolamines were associated with incident stroke. No metabolites were associated with incident coronary heart disease. Higher levels of uric acid and leucine and lower levels of a lysophosphatidylcholine were associated with hypertension. Higher levels of indole-3-lactic acid, 7 phosphatidylethanolamines, and uric acid, and lower levels of betaine and bilirubin were associated with chronic kidney disease. CONCLUSIONS These findings suggest that the sexual dimorphism of the metabolome may contribute to sex differences in stroke, hypertension, and chronic kidney disease.
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Affiliation(s)
- Catharine A. Couch
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Zsuzsanna Ament
- Department of NeurologyMassachusetts General HospitalBostonMAUSA
- Center for Genomic MedicineMassachusetts General HospitalBostonMAUSA
| | - Amit Patki
- Department of Biostatistics, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Naruchorn Kijpaisalratana
- Department of NeurologyMassachusetts General HospitalBostonMAUSA
- Center for Genomic MedicineMassachusetts General HospitalBostonMAUSA
- Division of Neurology, Department of Medicine and Division of Academic Affairs, Faculty of MedicineChulalongkorn UniversityBangkokThailand
| | | | - Alana C. Jones
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Nicole D. Armstrong
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Mary Cushman
- Department of MedicineLarner College of Medicine at the University of VermontBurlingtonVTUSA
| | - W. Taylor Kimberly
- Department of NeurologyMassachusetts General HospitalBostonMAUSA
- Center for Genomic MedicineMassachusetts General HospitalBostonMAUSA
- Harvard Medical SchoolBostonMAUSA
| | - M. Ryan Irvin
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
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Palaia I, Caruso G, Di Donato V, Turetta C, Savarese A, Perniola G, Gallo R, Giannini A, Salutari V, Bogani G, Tomao F, Giannarelli D, Gentile G, Musella A, Muzii L, Pignata S. Hormone replacement therapy in gynecological cancer survivors and BRCA mutation carriers: a MITO group survey. J Gynecol Oncol 2024; 35:e70. [PMID: 38497108 PMCID: PMC11107284 DOI: 10.3802/jgo.2024.35.e70] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 06/16/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024] Open
Abstract
OBJECTIVE Early iatrogenic menopause in gynecological cancer survivors and BRCA mutation (BRCAm) carriers undergoing risk-reducing salpingo-oophorectomy (RRSO) is a major health concern. Hormone replacement therapy (HRT) is the most effective remedy, but remains underused in clinical practice. The Multicenter Italian Trials in Ovarian cancer and gynecologic malignancies (MITO) group promoted a national survey to investigate the knowledge and attitudes of healthcare professionals regarding the prescription of HRT. METHODS The survey consisted of a self-administered, multiple-choice 45-item questionnaire, available online to all MITO members for 2 months starting from January 2022. RESULTS A total of 61 participants completed the questionnaire (47 out of 180 MITO centers; compliance: 26.1%). Most respondents were female (73.8%), younger than 50 years (65.6%), and gynecologic oncologists (55.7%), working in public general hospitals (49.2%). An 84.4% of specialists actively discuss HRT with patients and 51.0% of patients ask the specialist for an opinion on HRT. The rate of specialists globally in favor of prescribing HRT was 22.9% for ovarian cancer, 49.1% for cervical cancer, and 8.2% for endometrial cancer patients. Most respondents (70.5%) believe HRT is safe for BRCA-mutated patients after RRSO. Nearly 70% of physicians prescribe systemic HRT, while 23.8% prefer local HRT. Most specialists recommend HRT for as long as there is a benefit and generally for up to 5 years. CONCLUSION Real-world data suggest that many healthcare professionals still do not easily prescribe HRT for gynecological cancer survivors and BRCA mutation carriers after RRSO. Further efforts are required to implement the use of HRT in clinical practice and to support both clinicians in recommending HRT and patients in accepting it.
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Affiliation(s)
- Innocenza Palaia
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Caruso
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy.
| | - Violante Di Donato
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Camilla Turetta
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Antonella Savarese
- Department of Oncology, Regina Elena National Cancer Institute, Rome, Italy
| | - Giorgia Perniola
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Roberta Gallo
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Andrea Giannini
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Vanda Salutari
- Division of Gynecologic Oncology, Department of Women and Child Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica, Rome, Italy
| | - Giorgio Bogani
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Federica Tomao
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Diana Giannarelli
- Biostatistic Unit, Regina Elena National Cancer Institute, Rome, Italy
| | - Gabriella Gentile
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Angela Musella
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Ludovico Muzii
- Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Sandro Pignata
- Department of Urology and Gynecology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, Italy
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8
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Yang SH, Kim YJ, Yang HR, Park SU, Kim JG, Kim JK. Metabolic Profiling in Plasma and Brain Induced by 17β-Estradiol Supplementation in Ovariectomized Mice. ACS OMEGA 2024; 9:18212-18223. [PMID: 38680363 PMCID: PMC11044158 DOI: 10.1021/acsomega.3c10399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 05/01/2024]
Abstract
17β-Estradiol is an ovarian hormone that regulates energy circulation and storage by acting on the central nervous system. However, the metabolic differences between the blood and brain when stimulated by 17β-estradiol are poorly understood. Moreover, research using menopause-induced models to investigate primary metabolites in the blood and brain is limited. Thus, this study aimed to identify metabolic changes in the plasma and brain resulting from 17β-estradiol supplementation in an estrogen-deficient mouse model. Three groups of mice were utilized: sham-operated mice (Sham), ovariectomized mice (OVX), and ovariectomized mice that received a weekly supplementation of 17β-estradiol (E2). Plasma and brain samples from these mice were subjected to metabolic analysis using gas chromatography-time-of-flight-mass spectrometry. Compared with the plasma samples from the Sham and OVX groups, the plasma samples from the E2 group contained higher contents of branched-chain amino acids (BCAAs), such as valine, isoleucine, and leucine. Meanwhile, the brain samples from the E2 group contained higher contents of most metabolites, including BCAAs, neurotransmitters, tricarboxylic acid cycle intermediates, and fatty acids, than those from the two other groups. This study is the first to reveal differences in energy metabolism induced by 17β-estradiol supplementation through brain metabolic profiling of ovariectomized mice, emphasizing the importance of brain metabolic profiling in menopausal hormone research.
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Affiliation(s)
- So Hwi Yang
- Division
of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
| | - Ye Jin Kim
- Division
of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
| | - Hye Rim Yang
- Division
of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
| | - Sang Un Park
- Department
of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
| | - Jae Geun Kim
- Division
of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
| | - Jae Kwang Kim
- Division
of Life Sciences, College of Life Sciences, and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
- Convergence
Research Center for Insect Vectors, Incheon
National University, Incheon 22012, Republic
of Korea
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9
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Lv X, Bi A, Zhang Z, Li J, Wei Y, Wan M, Wang J, Yan T, Jia Y. Non-targeted metabolomics strategy reveals the role of Geng-Nian-Shu in regulating ferroptosis in perimenopausal syndrome. J Pharm Biomed Anal 2024; 241:115980. [PMID: 38266455 DOI: 10.1016/j.jpba.2024.115980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 01/26/2024]
Abstract
Ovariectomy (OVX) is usually accompanied by the occurrence of metabolic syndrome. Previous studies have shown that Geng-Nian-Shu (GNS) plays an important regulatory role in perimenopausal syndrome (PMS) rats. GNS is a traditional Chinese medicine (TCM) prescription which composed of Suanzaoren Decoction and Ganmai Dazao Decoction in "Jingui Yaolue" and Siwu Decoction in "Heji Jufang". Recently, metabolomics analysis has been used to identify slight changes in the metabolic profile and to help understand disease progression and therapeutic interventions in PMS. However, the mechanism of GNS in the treatment of PMS is still unknown. We purposed to study the metabolic characteristics of PMS by serum and fecal metabolomics, and revealed the internal mechanism of GNS regulating ferroptosis against PMS. The PMS model was established by surgical removal of 4/5 ovaries of rats. HPLC-Q-TOF/MS was used to analyze the metabolomics of rat plasma and feces to explore the potential mechanism of GNS in PMS. The expression of ferroptosis-related proteins in rat ovaries was detected by tissue Prussian blue staining, Elisa kit and Western blotting. Cluster analysis of differential metabolites in plasma and feces between the control group and the model group showed that organic acids and their derivatives, lipids and lipid molecules were mainly disturbed during PMS in rats. After GNS administration, 17 differential metabolites were adjusted, involving several major pathways, such as the tricarboxylic acid (TCA) cycle, biosynthesis of amino acids and biosynthesis of unsaturated fatty acids. Further, we found that GNS affected ferroptosis in ovarian cells by regulating endogenous substances in OVX rats. Our study provides new insights into the mechanism of OVX-induced metabolic syndrome based on non-targeted metabolomics. It provides new ideas for the development and application of GNS and the diagnosis and treatment of PMS.
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Affiliation(s)
- Xinyan Lv
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Anqi Bi
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Zhan Zhang
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Jinyan Li
- School of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Yingbo Wei
- School of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Meiqi Wan
- Faculty of Functional Food and Wine, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Jinyu Wang
- Faculty of Functional Food and Wine, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China
| | - Tingxu Yan
- Faculty of Functional Food and Wine, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China.
| | - Ying Jia
- Faculty of Functional Food and Wine, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, China.
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10
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Mäkinen VP, Ala-Korpela M. Influence of age and sex on longitudinal metabolic profiles and body weight trajectories in the UK Biobank. Int J Epidemiol 2024; 53:dyae055. [PMID: 38641429 PMCID: PMC11031410 DOI: 10.1093/ije/dyae055] [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: 12/01/2023] [Accepted: 04/04/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Accurate characterization of how age influences body weight and metabolism at different stages of life is important for understanding ageing processes. Here, we explore observational longitudinal associations between metabolic health and weight from the fifth to the seventh decade of life, using carefully adjusted statistical designs. METHODS Body measures and biochemical data from blood and urine (220 measures) across two visits were available from 10 104 UK Biobank participants. Participants were divided into stable (within ±4% per decade), weight loss and weight gain categories. Final subgroups were metabolically matched at baseline (48% women, follow-up 4.3 years, ages 41-70; n = 3368 per subgroup) and further stratified by the median age of 59.3 years and sex. RESULTS Pulse pressure, haemoglobin A1c and cystatin-C tracked ageing consistently (P < 0.0001). In women under 59, age-associated increases in citrate, pyruvate, alkaline phosphatase and calcium were observed along with adverse changes across lipoprotein measures, fatty acid species and liver enzymes (P < 0.0001). Principal component analysis revealed a qualitative sex difference in the temporal relationship between body weight and metabolism: weight loss was not associated with systemic metabolic improvement in women, whereas both age strata converged consistently towards beneficial (weight loss) or adverse (weight gain) phenotypes in men. CONCLUSIONS We report longitudinal ageing trends for 220 metabolic measures in absolute concentrations, many of which have not been described for older individuals before. Our results also revealed a fundamental dynamic sex divergence that we speculate is caused by menopause-driven metabolic deterioration in women.
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Affiliation(s)
- Ville-Petteri Mäkinen
- Systems Epidemiology, Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Mika Ala-Korpela
- Systems Epidemiology, Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
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11
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Dib M, Levin MG, Zhao L, Diab A, Wang Z, Ebert C, Salman O, Azzo JD, Gan S, Zamani P, Cohen JB, Gill D, Burgess S, Zagkos L, van Empel V, Richards AM, Doughty R, Rietzschel ER, Kammerhoff K, Kvikstad E, Maranville J, Schafer P, Seiffert DA, Ramirez‐Valle F, Gordon DA, Chang C, Javaheri A, Mann DL, Cappola TP, Chirinos JA. Proteomic Associations of Adverse Outcomes in Human Heart Failure. J Am Heart Assoc 2024; 13:e031154. [PMID: 38420755 PMCID: PMC10944037 DOI: 10.1161/jaha.123.031154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/16/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Identifying novel molecular drivers of disease progression in heart failure (HF) is a high-priority goal that may provide new therapeutic targets to improve patient outcomes. The authors investigated the relationship between plasma proteins and adverse outcomes in HF and their putative causal role using Mendelian randomization. METHODS AND RESULTS The authors measured 4776 plasma proteins among 1964 participants with HF with a reduced left ventricular ejection fraction enrolled in PHFS (Penn Heart Failure Study). Assessed were the observational relationship between plasma proteins and (1) all-cause death or (2) death or HF-related hospital admission (DHFA). The authors replicated nominally significant associations in the Washington University HF registry (N=1080). Proteins significantly associated with outcomes were the subject of 2-sample Mendelian randomization and colocalization analyses. After correction for multiple testing, 243 and 126 proteins were found to be significantly associated with death and DHFA, respectively. These included small ubiquitin-like modifier 2 (standardized hazard ratio [sHR], 1.56; P<0.0001), growth differentiation factor-15 (sHR, 1.68; P<0.0001) for death, A disintegrin and metalloproteinase with thrombospondin motifs-like protein (sHR, 1.40; P<0.0001), and pulmonary-associated surfactant protein C (sHR, 1.24; P<0.0001) for DHFA. In pathway analyses, top canonical pathways associated with death and DHFA included fibrotic, inflammatory, and coagulation pathways. Genomic analyses provided evidence of nominally significant associations between levels of 6 genetically predicted proteins with DHFA and 11 genetically predicted proteins with death. CONCLUSIONS This study implicates multiple novel proteins in HF and provides preliminary evidence of associations between genetically predicted plasma levels of 17 candidate proteins and the risk for adverse outcomes in human HF.
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Affiliation(s)
- Marie‐Joe Dib
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Michael G. Levin
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Lei Zhao
- Bristol‐Myers Squibb CompanyLawrencevilleNJUSA
| | - Ahmed Diab
- Washington University School of MedicineSt. LouisMOUSA
| | | | | | - Oday Salman
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Joe David Azzo
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Sushrima Gan
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Payman Zamani
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Jordana B. Cohen
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Renal‐Electrolyte and Hypertension Division, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUnited Kingdom
| | - Stephen Burgess
- MRC Integrative Epidemiology UnitUniversity of BristolUnited Kingdom
- Department of Public Health and Primary CareUniversity of CambridgeUnited Kingdom
| | - Loukas Zagkos
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUnited Kingdom
| | - Vanessa van Empel
- Department of CardiologyMaastricht University Medical CenterMaastrichtThe Netherlands
| | - A. Mark Richards
- Department of CardiologyMaastricht University Medical CenterMaastrichtThe Netherlands
- Cardiovascular Research InstituteNational University of SingaporeSingapore
| | - Rob Doughty
- Christchurch Heart InstituteUniversity of OtagoChristchurchNew Zealand
| | | | | | | | | | | | | | | | | | | | - Ali Javaheri
- Washington University School of MedicineSt. LouisMOUSA
- John J. Cochran Veterans HospitalSt. LouisMOUSA
| | | | - Thomas P. Cappola
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Julio A. Chirinos
- Division of Cardiovascular MedicineHospital of the University of PennsylvaniaPhiladelphiaPAUSA
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
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12
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Harahap IA, Kuligowski M, Cieslak A, Kołodziejski PA, Suliburska J. Effect of Tempeh and Daidzein on Calcium Status, Calcium Transporters, and Bone Metabolism Biomarkers in Ovariectomized Rats. Nutrients 2024; 16:651. [PMID: 38474779 DOI: 10.3390/nu16050651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/22/2024] [Accepted: 02/24/2024] [Indexed: 03/14/2024] Open
Abstract
Menopause marks a critical life stage characterized by hormonal changes that significantly impact bone health, leading to a heightened susceptibility to bone fractures. This research seeks to elucidate the impact of daidzein and tempeh on calcium status, calcium transporters, and bone metabolism in an ovariectomized rat model. Forty female Wistar rats, aged 3 months, participated in a two-phase experiment. The initial phase involved inducing a calcium deficit, while the second phase comprised dietary interventions across five groups: Sham (S) and Ovariectomy (O) with a standard diet, O with bisphosphonate (OB), O with pure daidzein (OD), and O with tempeh (OT). Multiple parameters, encompassing calcium levels, calcium transporters, bone histopathology, and serum bone metabolism markers, were evaluated. The findings revealed that the OT group showcased heightened levels of bone turnover markers, such as pyridinoline, C-telopeptide of type I collagen, bone alkaline phosphatase, and procollagen type I N-terminal propeptide, in contrast to S and O groups, with statistical significance (p < 0.05). Histopathologically, both the OD and OT groups exhibited effects akin to the OB group, indicating a decrease in the surface area occupied by adipocytes in the femoral bone structure, although statistically non-equivalent, supporting the directionally similar trends. Although TRPV5 and TRPV6 mRNA expression levels in the jejunum and duodenum did not display statistically significant differences (p > 0.05), the OD and OT groups exhibited increased expression compared to the O group. We hypothesized that obtained results may be related to the effect of isoflavones on estrogen pathways because of their structurally similar to endogenous estrogen and weak estrogenic properties. In conclusion, the daily consumption of pure daidzein and tempeh could potentially improve and reinstate calcium status, calcium transport, and bone metabolism in ovariectomized rats. Additionally, isoflavone products demonstrate effects similar to bisphosphonate drugs on these parameters in ovariectomized rats.
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Affiliation(s)
- Iskandar Azmy Harahap
- Department of Human Nutrition and Dietetics, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, 60-624 Poznan, Poland
| | - Maciej Kuligowski
- Department of Food Technology of Plant Origin, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, 60-624 Poznan, Poland
| | - Adam Cieslak
- Department of Animal Nutrition, Faculty of Veterinary Medicine and Animal Science, Poznan University of Life Sciences, 60-637 Poznan, Poland
| | - Paweł A Kołodziejski
- Department of Animal Physiology, Biochemistry and Biostructure, Faculty of Veterinary Medicine and Animal Science, Poznan University of Life Sciences, 60-637 Poznan, Poland
| | - Joanna Suliburska
- Department of Human Nutrition and Dietetics, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, 60-624 Poznan, Poland
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13
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Clayton GL, Borges MC, Lawlor DA. The impact of reproductive factors on the metabolic profile of females from menarche to menopause. Nat Commun 2024; 15:1103. [PMID: 38320991 PMCID: PMC10847109 DOI: 10.1038/s41467-023-44459-6] [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: 06/02/2022] [Accepted: 12/14/2023] [Indexed: 02/08/2024] Open
Abstract
We explore the relation between age at menarche, parity and age at natural menopause with 249 metabolic traits in over 65,000 UK Biobank women using multivariable regression, Mendelian randomization and negative control (parity only). Older age of menarche is related to a less atherogenic metabolic profile in multivariable regression and Mendelian randomization, which is largely attenuated when accounting for adult body mass index. In multivariable regression, higher parity relates to more particles and lipids in VLDL, which are not observed in male negative controls. In multivariable regression and Mendelian randomization, older age at natural menopause is related to lower concentrations of inflammation markers, but we observe inconsistent results for LDL-related traits due to chronological age-specific effects. For example, older age at menopause is related to lower LDL-cholesterol in younger women but slightly higher in older women. Our findings support a role of reproductive traits on later life metabolic profile and provide insights into identifying novel markers for the prevention of adverse cardiometabolic outcomes in women.
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Affiliation(s)
- Gemma L Clayton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
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14
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Schroeder HT, De Lemos Muller CH, Heck TG, Krause M, Homem de Bittencourt PI. Heat shock response during the resolution of inflammation and its progressive suppression in chronic-degenerative inflammatory diseases. Cell Stress Chaperones 2024; 29:116-142. [PMID: 38244765 PMCID: PMC10939074 DOI: 10.1016/j.cstres.2024.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/22/2024] Open
Abstract
The heat shock response (HSR) is a crucial biochemical pathway that orchestrates the resolution of inflammation, primarily under proteotoxic stress conditions. This process hinges on the upregulation of heat shock proteins (HSPs) and other chaperones, notably the 70 kDa family of heat shock proteins, under the command of the heat shock transcription factor-1. However, in the context of chronic degenerative disorders characterized by persistent low-grade inflammation (such as insulin resistance, obesity, type 2 diabetes, nonalcoholic fatty liver disease, and cardiovascular diseases) a gradual suppression of the HSR does occur. This work delves into the mechanisms behind this phenomenon. It explores how the Western diet and sedentary lifestyle, culminating in the endoplasmic reticulum stress within adipose tissue cells, trigger a cascade of events. This cascade includes the unfolded protein response and activation of the NOD-like receptor pyrin domain-containing protein-3 inflammasome, leading to the emergence of the senescence-associated secretory phenotype and the propagation of inflammation throughout the body. Notably, the activation of the NOD-like receptor pyrin domain-containing protein-3 inflammasome not only fuels inflammation but also sabotages the HSR by degrading human antigen R, a crucial mRNA-binding protein responsible for maintaining heat shock transcription factor-1 mRNA expression and stability on heat shock gene promoters. This paper underscores the imperative need to comprehend how chronic inflammation stifles the HSR and the clinical significance of evaluating the HSR using cost-effective and accessible tools. Such understanding is pivotal in the development of innovative strategies aimed at the prevention and treatment of these chronic inflammatory ailments, which continue to take a heavy toll on global health and well-being.
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Affiliation(s)
- Helena Trevisan Schroeder
- Laboratory of Cellular Physiology (FisCel), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Carlos Henrique De Lemos Muller
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, ICBS, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Thiago Gomes Heck
- Post Graduate Program in Integral Health Care (PPGAIS-UNIJUÍ/UNICRUZ/URI), Regional University of Northwestern Rio Grande Do Sul State (UNIJUI) and Post Graduate Program in Mathematical and Computational Modeling (PPGMMC), UNIJUI, Ijuí, Rio Grande do Sul, Brazil
| | - Mauricio Krause
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, ICBS, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Paulo Ivo Homem de Bittencourt
- Laboratory of Cellular Physiology (FisCel), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
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15
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Azzo JD, Dib MJ, Zagkos L, Zhao L, Wang Z, Chang CP, Ebert C, Salman O, Gan S, Zamani P, Cohen JB, van Empel V, Richards AM, Javaheri A, Mann DL, Rietzschel E, Schafer P, Seiffert DA, Gill D, Burgess S, Ramirez-Valle F, Gordon DA, Cappola TP, Chirinos JA. Proteomic Associations of NT-proBNP (N-Terminal Pro-B-Type Natriuretic Peptide) in Heart Failure With Preserved Ejection Fraction. Circ Heart Fail 2024; 17:e011146. [PMID: 38299345 PMCID: PMC7615693 DOI: 10.1161/circheartfailure.123.011146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/20/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels are variably elevated in heart failure with preserved ejection fraction (HFpEF), even in the presence of increased left ventricular filling pressures. NT-proBNP levels are prognostic in HFpEF and have been used as an inclusion criterion for several recent randomized clinical trials. However, the underlying biologic differences between HFpEF participants with high and low NT-proBNP levels remain to be fully understood. METHODS We measured 4928 proteins using an aptamer-based proteomic assay (SOMAScan) in available plasma samples from 2 cohorts: (1) Participants with HFpEF enrolled in the PHFS (Penn Heart Failure Study; n=253); (2) TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial) participants in the Americas (n=218). We assessed the relationship between SOMAScan-derived plasma NT-proBNP and levels of other proteins available in the SOMAScan assay version 4 using robust linear regression, with correction for multiple comparisons, followed by pathway analysis. RESULTS NT-proBNP levels exhibited prominent proteome-wide associations in PHFS and TOPCAT cohorts. Proteins most strongly associated with NT-proBNP in both cohorts included SVEP1 (sushi, von Willebrand factor type-A, epidermal growth factor, and pentraxin domain containing 1; βTOPCAT=0.539; P<0.0001; βPHFS=0.516; P<0.0001) and ANGPT2 (angiopoietin 2; βTOPCAT=0.571; P<0.0001; βPHFS=0.459; P<0.0001). Canonical pathway analysis demonstrated consistent associations with multiple pathways related to fibrosis and inflammation. These included hepatic fibrosis and inhibition of matrix metalloproteases. Analyses using cut points corresponding to estimated quantitative concentrations of 360 pg/mL (and 480 pg/mL in atrial fibrillation) revealed similar proteomic associations. CONCLUSIONS Circulating NT-proBNP levels exhibit prominent proteomic associations in HFpEF. Our findings suggest that higher NT-proBNP levels in HFpEF are a marker of fibrosis and inflammation. These findings will aid the interpretation of NT-proBNP levels in HFpEF and may guide the selection of participants in future HFpEF clinical trials.
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Affiliation(s)
- Joe David Azzo
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Marie-Joe Dib
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
| | - Loukas Zagkos
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Lei Zhao
- Bristol-Myers Squibb Company, Lawrenceville, NJ
| | | | | | | | - Oday Salman
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sushrima Gan
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
| | - Payman Zamani
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
| | - Jordana B. Cohen
- Bristol-Myers Squibb Company, Lawrenceville, NJ
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Vanessa van Empel
- Department of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - A. Mark Richards
- Cardiovascular Research Institute, National University of Singapore, Singapore
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Ali Javaheri
- Washington University School of Medicine, St. Louis, MO
- John J. Cochran Veterans Hospital, St. Louis, MO
| | | | - Ernst Rietzschel
- Department of Cardiovascular Diseases, Ghent University Hospital, Ghent, Belgium
| | | | | | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | | | - Thomas P. Cappola
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
| | - Julio A. Chirinos
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
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16
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Schroeder HT, De Lemos Muller CH, Heck TG, Krause M, Homem de Bittencourt PI. Resolution of inflammation in chronic disease via restoration of the heat shock response (HSR). Cell Stress Chaperones 2024; 29:66-87. [PMID: 38309688 PMCID: PMC10939035 DOI: 10.1016/j.cstres.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/28/2024] [Accepted: 01/29/2024] [Indexed: 02/05/2024] Open
Abstract
Effective resolution of inflammation via the heat shock response (HSR) is pivotal in averting the transition to chronic inflammatory states. This transition characterizes a spectrum of debilitating conditions, including insulin resistance, obesity, type 2 diabetes, nonalcoholic fatty liver disease, and cardiovascular ailments. This manuscript explores a range of physiological, pharmacological, and nutraceutical interventions aimed at reinstating the HSR in the context of chronic low-grade inflammation, as well as protocols to assess the HSR. Monitoring the progression or suppression of the HSR in patients and laboratory animals offers predictive insights into the organism's capacity to combat chronic inflammation, as well as the impact of exercise and hyperthermic treatments (e.g., sauna or hot tub baths) on the HSR. Interestingly, a reciprocal correlation exists between the expression of HSR components in peripheral blood leukocytes (PBL) and the extent of local tissue proinflammatory activity in individuals afflicted by chronic inflammatory disorders. Therefore, the Heck index, contrasting extracellular 70 kDa family of heat shock proteins (HSP70) (proinflammatory) and intracellular HSP70 (anti-inflammatory) in PBL, serves as a valuable metric for HSR assessment. Our laboratory has also developed straightforward protocols for evaluating HSR by subjecting whole blood samples from both rodents and human volunteers to ex vivo heat challenges. Collectively, this discussion underscores the critical role of HSR disruption in the pathogenesis of chronic inflammatory states and emphasizes the significance of simple, cost-effective tools for clinical HSR assessment. This understanding is instrumental in the development of innovative strategies for preventing and managing chronic inflammatory diseases, which continue to exert a substantial global burden on morbidity and mortality.
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Affiliation(s)
- Helena Trevisan Schroeder
- Laboratory of Cellular Physiology (FisCel), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Carlos Henrique De Lemos Muller
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, ICBS, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Thiago Gomes Heck
- Post Graduate Program in Integral Health Care (PPGAIS-UNIJUÍ/UNICRUZ/URI), Regional University of Northwestern Rio Grande Do Sul State (UNIJUI) and Post Graduate Program in Mathematical and Computational Modeling (PPGMMC), UNIJUI, Ijuí, Rio Grande do Sul, Brazil
| | - Mauricio Krause
- Laboratory of Inflammation, Metabolism and Exercise Research (LAPIMEX), Department of Physiology, ICBS, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Paulo Ivo Homem de Bittencourt
- Laboratory of Cellular Physiology (FisCel), Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
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17
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El Shikieri AB, Elmugadam A, Elfadil GA. Visceral adipose index, lipid accumulation product, and selected cardiometabolic risk markers among postmenopausal Sudanese women: A cross-sectional study. HUMAN NUTRITION & METABOLISM 2023; 34:200222. [DOI: 10.1016/j.hnm.2023.200222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
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18
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Islam MT, Samad Talha MTU, Shafiq SS, Mazumder T, Gupta RD, Siraj MS. Prevalence, pattern, and correlates of dyslipidemia in Bangladeshi individuals. J Clin Lipidol 2023; 17:788-799. [PMID: 37743185 DOI: 10.1016/j.jacl.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/13/2023] [Accepted: 09/08/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND The burden of dyslipidemia in Bangladesh remains inadequately characterized. OBJECTIVES To determine and describe the prevalence and pattern of dyslipidemia and its associated risk factors among an adult Bangladeshi population. DESIGN Population-based, cross-sectional study. Participants were adults living in all eight administrative divisions of Bangladesh. The total sample size was 7084 (53.1 % women, 46.9% urban residents). Primary outcome measures were triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the use of lipid lowering medication. In addition, control of LDL-C and control of non high-density lipoprotein cholesterol (non-HDL-C) were investigated. RESULTS The overall dyslipidemia prevalence was 76.7%, with 35.7% showing a high TG level, 18.5% showing a high LDL-C level, 63.8% showing a low HDL-C level, and 7.2% of the participants showing all three lipid abnormalities. Sylhet division had the highest prevalence (83.8%) of overall dyslipidemia, while Rangpur had the lowest prevalence (69.3%). The control of LDL-C (<50 mg/dL) and non-HDL-C (<80 mg/dL) among adults with a previous history of atherosclerotic cardiovascular diseases (ASCVD) were 5.1% and 6.9% respectively. The regression models showed that male sex and age 45-59 years were significant predictors of overall dyslipidemia. Both smokers and smokeless tobacco users were significant factors for overall dyslipidemia and high TG. A high waist-hip ratio was associated with overall dyslipidemia and all other subtypes of dyslipidemia. CONCLUSION The high prevalence of dyslipidemia in Bangladesh necessitates lifestyle interventions to prevent and control this cardiovascular risk factor.
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Affiliation(s)
- Md Tauhidul Islam
- Murdoch Business School (Dr Islam), Murdoch University, Perth, WA-6150, Australia.
| | - Md Taqbir Us Samad Talha
- International Centre for Diarrhoeal Disease Research (Drs Samad Talha, Shafiq, Siraj), Bangladesh
| | - Sabit Saad Shafiq
- International Centre for Diarrhoeal Disease Research (Drs Samad Talha, Shafiq, Siraj), Bangladesh
| | - Tapas Mazumder
- Health Research Institute (Dr Mazumder), Faculty of Health, University of Canberra, Canberra, ACT-2617, Australia
| | - Rajat Das Gupta
- Department of Epidemiology and Biostatistics (Dr Gupta), Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Md Shahjahan Siraj
- International Centre for Diarrhoeal Disease Research (Drs Samad Talha, Shafiq, Siraj), Bangladesh
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Gan S, Zhao L, Salman O, Wang Z, Ebert C, Azzo JD, Dib MJ, Zamani P, Cohen JB, Kammerhoff K, Schafer P, Seiffert DA, Ramirez-Valle F, Gordon DA, Cvijic ME, Gunawardhana K, Liu L, Chang CP, Cappola TP, Chirinos JA. Proteomic Correlates of the Urinary Protein/Creatinine Ratio in Heart Failure With Preserved Ejection Fraction. Am J Cardiol 2023; 206:312-319. [PMID: 37734292 PMCID: PMC10874232 DOI: 10.1016/j.amjcard.2023.08.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/21/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023]
Abstract
Proteinuria is common in heart failure with preserved ejection fraction (HFpEF), but its biologic correlates are poorly understood. We assessed the relation between 49 plasma proteins and the urinary protein/creatinine ratio (UPCR) in 365 participants in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist Trial. Linear regression and network analysis were used to represent relations between protein biomarkers and UPCR. Higher UPCR was associated with older age, a greater proportion of female gender, smaller prevalence of previous myocardial infarction, and greater prevalence of diabetes, insulin use, smoking, and statin use, in addition to a lower estimated glomerular filtration rate, hematocrit, and diastolic blood pressure. Growth differentiation factor 15 (GDF-15; β = 0.15, p <0.0001), followed by N-terminal proatrial natriuretic peptide (NT-proANP; β = 0.774, p <0.0001), adiponectin (β = 0.0005, p <0.0001), fibroblast growth factor 23 (FGF-23, β = 0.177; p <0.0001), and soluble tumor necrosis factor receptors I (β = 0.002, p <0.0001) and II (β = 0.093, p <0.0001) revealed the strongest associations with UPCR. Network analysis showed that UPCR is linked to various proteins primarily through FGF-23, which, along with GDF-15, indicated node characteristics with strong connectivity, whereas UPCR did not. In a model that included FGF-23 and UPCR, the former was predictive of the risk of death or heart-failure hospital admission (standardized hazard ratio 1.83, 95% confidence interval 1.49 to 2.26, p <0.0001) and/or all-cause death (standardized hazard ratio 1.59, 95% confidence interval 1.22 to 2.07, p = 0.0005), whereas UPCR was not prognostic. Proteinuria in HFpEF exhibits distinct proteomic correlates, primarily through its association with FGF-23, a well-known prognostic marker in HFpEF. However, in contrast to FGF-23, UPCR does not hold independent prognostic value.
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Affiliation(s)
- Sushrima Gan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lei Zhao
- Bristol-Myers Squibb Company, Lawrenceville, New Jersey
| | - Oday Salman
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhaoqing Wang
- Bristol-Myers Squibb Company, Lawrenceville, New Jersey
| | | | - Joe David Azzo
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marie Joe Dib
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Payman Zamani
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jordana B Cohen
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology, and Informatics
| | | | - Peter Schafer
- Bristol-Myers Squibb Company, Lawrenceville, New Jersey
| | | | | | | | | | | | - Laura Liu
- Bristol-Myers Squibb Company, Lawrenceville, New Jersey
| | | | - Thomas P Cappola
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania
| | - Julio A Chirinos
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Cardiovascular Medicine, Hospital of The University of Pennsylvania, Philadelphia, Pennsylvania.
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20
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Ho JS, Wong JJ, Gao F, Wee HN, Teo LLY, Ewe SH, Tan RS, Ching J, Chua KV, Lee LS, Koh WP, Kovalik JP, Koh AS. Adverse cardiovascular and metabolic perturbations among older women: 'fat-craving' hearts. Clin Res Cardiol 2023; 112:1555-1567. [PMID: 36651997 DOI: 10.1007/s00392-023-02156-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 01/09/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND Despite known sex-based differences in cardiovascular aging, differences in aging biology are poorly understood. We hypothesize that circulating metabolites studied cross-sectionally with cardiac aging may be associated with cardiovascular changes that distinguish cardiac aging in women. METHODS A population-based cohort of community men and women without cardiovascular disease from Singapore underwent detailed clinical and echocardiography examinations. Cross-sectional associations between cardiac functional characteristics and metabolomics profiles were examined. RESULTS Five hundred sixty-seven adults (48.9% women) participated. Women were younger (72 ± 4.4 years vs 73 ± 4.3 years, p = 0.022), had lower diastolic blood pressures (71 ± 11.0 mmHg vs 76 ± 11.2 mmHg, p < 0.0001, and less likely to have diabetes mellitus (18.0% vs 27.6%, p = 0.013) and smoking (3.8% vs 34.5%, p < 0.001). Body mass indices were similar (24 ± 3.8 kg/m2 vs 24 ± 3.4 kg/m2, p = 0.29), but women had smaller waist circumferences (81 ± 10.1 cm vs 85 ± 9.2 cm, p < 0.001). Women had a significantly higher E/e' ratios (10.9 ± 3.4 vs 9.9 ± 3.3, p = 0.007) and mitral A peak (0.86 ± 0.2 m/s vs 0.79 ± 0.2 m/s, p < 0.001) than men. Among women, lower E/e' ratio was associated with higher levels of C16 (OR 1.019, 95%CI 1.002-1.036, p = 0.029), C16:1 (OR 1.06, 95%CI 1.006-1.118, p = 0.028), serine (OR 1.019, 95%CI 1.002-1.036, p = 0.025), and histidine (OR 1.045, 95%CI 1.013-1.078, p = 0.006). Lower mitral A peak was associated with higher levels of histidine (OR 1.039, 95%CI 1.009-1.070, p = 0.011), isoleucine (OR 1.013, 95%CI 1.004-1.021, p = 0.004), and C20 (OR 1.341, 95%CI 1.067-1.684, p = 0.012). CONCLUSION Impairments in diastolic functions were more frequent among older women compared to men, despite lower prevalence of vascular risk factors and preserved cardiac structure. Cardiac aging in women correlated with metabolites involved in fatty acid oxidation and tricyclic acid cycle fuelling.
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Affiliation(s)
- Jien Sze Ho
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jie Jun Wong
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
| | - Fei Gao
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | | | - Louis L Y Teo
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - See Hooi Ewe
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Ru-San Tan
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jianhong Ching
- Duke-NUS Medical School, Singapore, Singapore
- KK Research Centre, KK Women's and Children's Hospital, Singapore, Singapore
| | | | | | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Jean-Paul Kovalik
- Duke-NUS Medical School, Singapore, Singapore
- Singapore General Hospital, Singapore, Singapore
| | - Angela S Koh
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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21
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Huang CH, Lee WJ, Huang YL, Tsai TF, Chen LK, Lin CH. Sebacic Acid as a Potential Age-Related Biomarker of Liver Aging: Evidence Linking Mice and Human. J Gerontol A Biol Sci Med Sci 2023; 78:1799-1808. [PMID: 37148322 DOI: 10.1093/gerona/glad121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Indexed: 05/08/2023] Open
Abstract
The aging process is complicated and involves diverse organ dysfunction; furthermore, the biomarkers that are able to reflect biological aging are eagerly sought after to monitor the system-wide decline associated with the aging process. To address this, we performed a metabolomics analysis using a longitudinal cohort study from Taiwan (N = 710) and established plasma metabolomic age using a machine learning algorithm. The resulting estimation of age acceleration among the older adults was found to be correlated with HOMA-insulin resistance. In addition, a sliding window analysis was used to investigate the undulating decrease in hexanoic and heptanoic acids that occurs among the older adults at different ages. A comparison of the metabolomic alterations associated with aging between humans and mice implied that ω-oxidation of medium-chain fatty acids was commonly dysregulated in older subjects. Among these fatty acids, sebacic acid, an ω-oxidation product produced by the liver, was significantly decreased in the plasma of both older humans and aged mice. Notably, an increase in the production and consumption of sebacic acid within the liver tissue of aged mice was observed, along with an elevation of pyruvate-to-lactate conversion. Taken together, our study reveals that sebacic acid and metabolites of ω-oxidation are the common aging biomarkers in both humans and mice. The further analysis suggests that sebacic acid may play an energetic role in supporting the production of acetyl-CoA during liver aging, and thus its alteration in plasma concentration potentially reflects the aging process.
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Affiliation(s)
- Chen-Hua Huang
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Wei-Ju Lee
- Department of Geriatric Medicine, School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yilan, Taiwan
| | - Yi-Long Huang
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Ting-Fen Tsai
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chao-Hsiung Lin
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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22
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Ye B, Zhou Y, Chen M, Chen C, Tan J, Xu X. The association between depression during perimenopause and progression of chronic conditions and multimorbidity: results from a Chinese prospective cohort. Arch Womens Ment Health 2023; 26:697-705. [PMID: 37550508 DOI: 10.1007/s00737-023-01354-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023]
Abstract
PURPOSE The association between perimenopausal depression and many chronic conditions among women has been well-established. However, the role of depression during perimenopause in the progression of multiple chronic conditions (multimorbidity) remains poorly understood. MATERIAL AND METHODS A total of 1,216 community-dwelling women in their perimenopause period between 2010 and 2016 were enrolled in our analysis, and followed up for the progression of multimorbidity. Depression, as well as its severity, was evaluated by the Center for Epidemiologic Studies Depression 10-item scale (CES-D-10). Progression of multimorbidity was defined as the first report of two or more chronic conditions for participants without multimorbidity or the new report of one or more conditions for those with multimorbidity. Univariable and multivariable Cox proportional hazards model and the restricted cubic spline regression model were performed to assess the prospective association between perimenopausal depression and the progression of multimorbidity. RESULTS A total of 480 (39.5%) women reported depression during perimenopause, and 529 (43.5%) women progressed to multimorbidity. After adjusting for socio-demographic and lifestyle factors, perimenopausal depression was independently associated with the progression of multimorbidity (hazard ratio [HR]: 1.34; 95% confidence interval [CI]: 1.13 to 1.60). Moreover, the severity of depression was positively and linearly associated with the progression of multimorbidity (P < 0.05). CONCLUSIONS Our finding reveals a prospective association between perimenopausal depression and the progression of multimorbidity, indicating interventions targeting perimenopausal depression may reduce the burden of chronic diseases and multimorbidity in women's post-menopausal life.
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Affiliation(s)
- Bingqi Ye
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road 866, Hangzhou, 310058, Zhejiang, China
| | - Yaguan Zhou
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road 866, Hangzhou, 310058, Zhejiang, China
| | - Mengsha Chen
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road 866, Hangzhou, 310058, Zhejiang, China
| | - Chen Chen
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road 866, Hangzhou, 310058, Zhejiang, China
| | - Jie Tan
- School of Public Health, Wuhan University, Wuhan, Hubei, China
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Xiaolin Xu
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road 866, Hangzhou, 310058, Zhejiang, China.
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
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23
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Sousa S, Pestana D, Faria G, Delerue-Matos C, Calhau C, Fernandes Domingues V. Adipose tissue fatty acids as biomarkers for metabolic dysfunction in obese females: Implication of menopause and ageing. Prostaglandins Leukot Essent Fatty Acids 2023; 195:102581. [PMID: 37494765 DOI: 10.1016/j.plefa.2023.102581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/08/2023] [Accepted: 07/11/2023] [Indexed: 07/28/2023]
Abstract
Fatty acids (FA) are biomarkers of metabolic dysfunction. Adipose tissue is the largest reservoir of FA and acts differently in obese individuals. Menopause by itself significantly alters metabolism, lipid metabolism dysregulation, and adipose tissue distribution. How adipose tissue FA alters an obese individual's metabolism depending on a female's menopausal status is yet poorly understood. Hence, the subcutaneous (scAT) and visceral adipose tissue (vAT) FA profile for 173 obese premenopausal and postmenopausal women was measured and associated with biochemical parameters. scAT and vAT FA profiles were distinct by themselves and in menopause. In total 816 associations were found with biochemical parameters, where only 58 were independent of the menopausal status. The associations found to emphasize the importance of assessing the adipose tissue FA profile and how their behavior changes with menopause. The FA are crucial in metabolic processes and can be helpful biomarkers in the prevention/treatment and follow-up of female obesity.
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Affiliation(s)
- Sara Sousa
- REQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal; Center for Research in Health Technologies and Information Systems, Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal
| | - Diogo Pestana
- Center for Research in Health Technologies and Information Systems, Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal; Nutrição e Metabolismo NOVA Medical School Faculdade de Ciências Médicas Universidade Nova de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal
| | - Gil Faria
- Center for Research in Health Technologies and Information Systems, Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal; Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Cristina Delerue-Matos
- REQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal
| | - Conceição Calhau
- Center for Research in Health Technologies and Information Systems, Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal; Nutrição e Metabolismo NOVA Medical School Faculdade de Ciências Médicas Universidade Nova de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal
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Huang DR, Goodship A, Webber I, Alaa A, Sasco ER, Hayhoe B, El-Osta A. Experience and severity of menopause symptoms and effects on health-seeking behaviours: a cross-sectional online survey of community dwelling adults in the United Kingdom. BMC Womens Health 2023; 23:373. [PMID: 37452317 PMCID: PMC10347781 DOI: 10.1186/s12905-023-02506-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/24/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Almost all women will experience menopause, and the symptoms can have a severely detrimental impact on their quality of life. However, there is limited research exploring health-seeking behaviours and alternative service design or consultation formats. Group consultations have been successfully deployed in perinatal and diabetic care, improving accessibility and outcomes. This cross-sectional online survey was conducted to explore women's personal experiences of menopause, including perspectives on group consultations. METHODS An online survey investigated the experiences of individuals at all stages of menopause and their receptiveness towards group consultations for menopause. Respondents were categorised by menopause stage according to the STRAW + 10 staging system. Associations between menopause stage, acceptability of group consultations and participant demographics were assessed using logistic regression. RESULTS Respondents experienced an average of 10.7 menopausal symptoms, but only 47% of respondents felt they had the knowledge and tools to manage their symptoms. Advice on menopause was sought from a healthcare professional (HCP) by 61% of respondents, the largest trigger for this being severity of symptoms and the main barrier for this was the perception that menopause wasn't a valid enough reason to seek help. Of the respondents seeking advice from HCPs, 32% were prescribed transdermal HRT, 29% received oral HRT, 19% were offered antidepressants, 18% received local oestrogen and 6% were prescribed testosterone. Over three quarters (77%) of respondents indicated that they would join a group consultation for menopause and would be comfortable sharing their experiences with others (75%). Logistic regression indicated premenopausal respondents were 2.84 times more likely than postmenopausal women to be interested in a group consultation where they can meet or learn from others' experiences. CONCLUSIONS This study highlighted a strong willingness of women aged 35-70 to participate in group consultations for menopause, with motivation being strongest amongst premenopausal women. Low awareness of self-management and lifestyle interventions to manage the symptoms of menopause highlight the need for greater outreach, research and interventions to build knowledge and confidence in the general population at scale. Future studies should focus on investigating the effectiveness and economic impact of menopause group consultations and the lived experience of individuals participating in group consultations.
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Affiliation(s)
- David Roy Huang
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Abigail Goodship
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Iman Webber
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Aos Alaa
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Eva Riboli Sasco
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Benedict Hayhoe
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
| | - Austen El-Osta
- Self-Care Academic Research Unit (SCARU), Department of Primary Care & Public Health, Imperial College, London, W6 8RF UK
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25
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Ala-Korpela M, Lehtimäki T, Kähönen M, Viikari J, Perola M, Salomaa V, Kettunen J, Raitakari OT, Mäkinen VP. Cross-sectionally Calculated Metabolic Aging Does Not Relate to Longitudinal Metabolic Changes-Support for Stratified Aging Models. J Clin Endocrinol Metab 2023; 108:2099-2104. [PMID: 36658689 PMCID: PMC10348460 DOI: 10.1210/clinem/dgad032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023]
Abstract
CONTEXT Aging varies between individuals, with profound consequences for chronic diseases and longevity. One hypothesis to explain the diversity is a genetically regulated molecular clock that runs differently between individuals. Large human studies with long enough follow-up to test the hypothesis are rare due to practical challenges, but statistical models of aging are built as proxies for the molecular clock by comparing young and old individuals cross-sectionally. These models remain untested against longitudinal data. OBJECTIVE We applied novel methodology to test if cross-sectional modeling can distinguish slow vs accelerated aging in a human population. METHODS We trained a machine learning model to predict age from 153 clinical and cardiometabolic traits. The model was tested against longitudinal data from another cohort. The training data came from cross-sectional surveys of the Finnish population (n = 9708; ages 25-74 years). The validation data included 3 time points across 10 years in the Young Finns Study (YFS; n = 1009; ages 24-49 years). Predicted metabolic age in 2007 was compared against observed aging rate from the 2001 visit to the 2011 visit in the YFS dataset and correlation between predicted vs observed metabolic aging was determined. RESULTS The cross-sectional proxy failed to predict longitudinal observations (R2 = 0.018%, P = 0.67). CONCLUSION The finding is unexpected under the clock hypothesis that would produce a positive correlation between predicted and observed aging. Our results are better explained by a stratified model where aging rates per se are similar in adulthood but differences in starting points explain diverging metabolic fates.
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Affiliation(s)
- Mika Ala-Korpela
- Systems Epidemiology, Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland
- Biocenter Oulu, University of Oulu, Oulu 90014, Finland
- Faculty of Health Sciences, NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio 90014, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Fimlab Laboratories, and Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere 33100, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Faculty of Medicine and Health Technology, Tampere University Hospital, and Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere 33100, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku 20520, Finland
- Division of Medicine, Turku University Hospital, Turku 20520, Finland
| | - Markus Perola
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
| | - Johannes Kettunen
- Systems Epidemiology, Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland
- Biocenter Oulu, University of Oulu, Oulu 90014, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku 20520, Finland
| | - Ville-Petteri Mäkinen
- Systems Epidemiology, Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu 90014, Finland
- Computational and Systems Biology Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Australian Centre for Precision Health, University of South Australia, Adelaide, SA 5000, Australia
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van de Langenberg D, Dollé MET, van Kerkhof LWM, Vermeulen RCH, Vlaanderen JJ. Effects of Nightshift Work on Blood Metabolites in Female Nurses and Paramedic Staff: A Cross-sectional Study. Ann Work Expo Health 2023; 67:694-705. [PMID: 37186247 PMCID: PMC10394501 DOI: 10.1093/annweh/wxad018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 03/16/2023] [Indexed: 05/17/2023] Open
Abstract
Nightshift work disturbs the circadian rhythm, which might contribute to the development of cardio-metabolic disorders. In this cross-sectional study, we aimed to gain insight into perturbations of disease relevant metabolic pathways due to nightshift work. We characterized the metabolic profiles of 237 female nurses and paramedic staff participating in the Klokwerk study using the Nightingale Health platform. We performed analyses on plasma levels of 225 metabolites, including cholesterol, triglycerides, fatty acids, and amino acids. Using both principal component- and univariate-regression, we compared metabolic profiles of nightshift workers to metabolic profiles from workers that did not work night shifts (defined as day workers). We also assessed whether differential effects were observed between recently started versus more experienced workers. Within the group of nightshift workers, we compared metabolic profiles measured right after a nightshift with metabolic profiles measured on a day when no nightshift work was conducted. We observed evidence for an impact of nightshift work on the presence of unfavorable fatty acid profiles in blood. Amongst the fatty acids, effects were most prominent for PUFA/FA ratios (consistently decreased) and SFA/FA ratios (consistently elevated). This pattern of less favorable fatty acid profiles was also observed in samples collected directly after a night shift. Amino acid levels (histidine, glutamine, isoleucine, and leucine) and lipoproteins (especially HDL-cholesterol, VLDL-cholesterol, and triglycerides) were elevated when comparing nightshift workers with day workers. Amino acid levels were decreased in the samples that were collected directly after working a nightshift (compared to levels in samples that were collected during a non-nightshift period). The observed effects were generally more pronounced in samples collected directly after the nightshift and among recently started compared to more experienced nightshift workers. Our finding of a suggested impact of shift work on impaired lipid metabolism is in line with evidence that links disruption of circadian rhythmicity to obesity and metabolic disorders.
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Affiliation(s)
- Daniella van de Langenberg
- IRAS, Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
- RIVM, Rijksinstituut voor Volksgezondheid en Milieu (National Institute for Public Health and the Environment), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Martijn E T Dollé
- RIVM, Rijksinstituut voor Volksgezondheid en Milieu (National Institute for Public Health and the Environment), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Linda W M van Kerkhof
- RIVM, Rijksinstituut voor Volksgezondheid en Milieu (National Institute for Public Health and the Environment), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Roel C H Vermeulen
- IRAS, Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Jelle J Vlaanderen
- IRAS, Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
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Khalafi M, Habibi Maleki A, Sakhaei MH, Rosenkranz SK, Pourvaghar MJ, Ehsanifar M, Bayat H, Korivi M, Liu Y. The effects of exercise training on body composition in postmenopausal women: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1183765. [PMID: 37388207 PMCID: PMC10306117 DOI: 10.3389/fendo.2023.1183765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/18/2023] [Indexed: 07/01/2023] Open
Abstract
Introduction We conducted a systematic review and meta-analysis to investigate the effect of exercise training on body composition outcomes in postmenopausal women. Methods PubMed, Web of Science, CINAHL, and Medline were searched to identify the randomized controlled trials which evaluated effect of exercise training versus control in postmenopausal women. Standardized mean differences (SMD), weighted mean differences (WMD) and 95% confidence intervals (95% CIs) were calculated using random effects model. Results One hundred and one studies involving 5,697 postmenopausal women were included in the meta-analysis. Results indicated that exercise training effectively increased muscle mass/ volume, muscle and fiber cross-sectional area and fat-free mass, and decreased fat mass, body fat percentage, waist circumference and visceral fat. Furthermore, subgroup analyses results revealed that aerobic and combined training had greater beneficial effects on fat mass outcomes, whereas resistance and combined training had greater beneficial effects on muscle mass outcomes. Discussion Overall, our results revealed that exercise training is effective for improving body composition in postmenopausal women. To be specific, aerobic training is effective on fat loss, whereas resistance training is effective on muscle gain. However, combination of aerobic and resistance trainings may be considered a viable strategy to improve body composition in postmenopausal women. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021283425.
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Affiliation(s)
- Mousa Khalafi
- Department of Physical Education and Sport Sciences, Faculty of Humanities, University of Kashan, Kashan, Iran
| | - Aref Habibi Maleki
- Department of Exercise Physiology and Corrective Exercises, Faculty of Sport Sciences, Urmia University, Urmia, Iran
| | - Mohammad Hossein Sakhaei
- Department of Exercise Physiology, Faculty of Sport Sciences, University of Guilan, Rasht, Guilan, Iran
| | - Sara K. Rosenkranz
- Department of Kinesiology and Nutrition Sciences, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Mohammad Javad Pourvaghar
- Department of Physical Education and Sport Sciences, Faculty of Humanities, University of Kashan, Kashan, Iran
| | - Mahsa Ehsanifar
- Department of Exercise Physiology and Corrective Exercises, Faculty of Sport Sciences, Urmia University, Urmia, Iran
| | - Hadis Bayat
- Department of Exercise Physiology, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mallikarjuna Korivi
- Institute of Human Movement and Sports Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Yubo Liu
- Institute of Human Movement and Sports Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China
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28
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Liu FC, Cheng ML, Lo CJ, Hsu WC, Lin G, Lin HT. Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid metabolomics using liquid chromatography-tandem mass spectrometry. BMC Geriatr 2023; 23:217. [PMID: 37020298 PMCID: PMC10077689 DOI: 10.1186/s12877-023-03939-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/29/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND During biological aging, significant metabolic dysregulation in the central nervous system may lead to cognitive decline and neurodegeneration. However, the metabolomics of the aging process in cerebrospinal fluid (CSF) has not been thoroughly explored. METHODS In this cohort study of CSF metabolomics using liquid chromatography-mass spectrometry (LC-MS), fasting CSF samples collected from 92 cognitively unimpaired adults aged 20-87 years without obesity or diabetes were analyzed. RESULTS We identified 37 metabolites in these CSF samples with significant positive correlations with aging, including cysteine, pantothenic acid, 5-hydroxyindoleacetic acid (5-HIAA), aspartic acid, and glutamate; and two metabolites with negative correlations, asparagine and glycerophosphocholine. The combined alterations of asparagine, cysteine, glycerophosphocholine, pantothenic acid, sucrose, and 5-HIAA showed a superior correlation with aging (AUC = 0.982). These age-correlated changes in CSF metabolites might reflect blood-brain barrier breakdown, neuroinflammation, and mitochondrial dysfunction in the aging brain. We also found sex differences in CSF metabolites with higher levels of taurine and 5-HIAA in women using propensity-matched comparison. CONCLUSIONS Our LC-MS metabolomics of the aging process in a Taiwanese population revealed several significantly altered CSF metabolites during aging and between the sexes. These metabolic alterations in CSF might provide clues for healthy brain aging and deserve further exploration.
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Affiliation(s)
- Fu-Chao Liu
- Department of Anesthesiology, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan, 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Mei-Ling Cheng
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chi-Jen Lo
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, 333, Taiwan
| | - Wen-Chuin Hsu
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Gigin Lin
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Imaging Core Lab, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Huan-Tang Lin
- Department of Anesthesiology, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan, 333, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
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30
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Rostami-Moez M, Masoumi SZ, Otogara M, Farahani F, Alimohammadi S, Oshvandi K. Examining the Health-Related Needs of Females during Menopause: A Systematic Review Study. J Menopausal Med 2023; 29:1-20. [PMID: 37160298 PMCID: PMC10183767 DOI: 10.6118/jmm.22033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 03/19/2023] [Accepted: 04/11/2023] [Indexed: 05/11/2023] Open
Abstract
Menopause is one the most crucial stages in a female's life. Identifying the education gaps regarding menopause is important, thus this study aims to explain the health-related needs of females during menopause. Scopus, PubMed, Scientific Information Database, and Web of Science databases were searched for the available observational (cohort, case-control, and cross-sectional), systematic review, meta-analysis, and clinical trial studies (2007-2021) using keywords, such as 'Educational Needs Assessment,' 'Assessment of Healthcare Needs,' 'menopause,' 'climacteric,' 'premenopause,' and 'postmenopause.' A total of 180 out of 5,705 papers were evaluated after considering the inclusion and exclusion criteria. The educational needs of females during menopause in the reviewed studies include osteoporosis, oral and dental problems, metabolic disorders, cardiovascular diseases, hypertension, lung diseases, infectious diseases, musculoskeletal problems, urinary problems, breast cancer, defecation problems, genital disorders, special diseases such as eye diseases and hypothyroidism and hormone therapy, mental disorders, cognitive function, sleep disorders, sexual disorders, physical activity, supplement consumption, public health issues, health education, fall, and nutrition. The study results reveal that females during postmenopause require training, counseling, and support in all aspects to get through this challenging time, and providing these services, infrastructure, appropriate policy, and the use and support of the medical team's capacity are all required.
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Affiliation(s)
- Masoumeh Rostami-Moez
- Research Center for Health Sciences, Education Development Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Seyedeh Zahra Masoumi
- Department of Midwifery, Mother and Child Care Research Center, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.
| | - Marzieh Otogara
- Department of Midwifery, Mother and Child Care Research Center, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Farhad Farahani
- Department of Ear, Nose and Throat, School of Medicine, Hearing Disorder Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Shohreh Alimohammadi
- Department of Gynecology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Khodayar Oshvandi
- Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran
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31
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Lassen JK, Wang T, Nielsen KL, Hasselstrøm JB, Johannsen M, Villesen P. Large-Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC-MS measurements. Aging Cell 2023; 22:e13813. [PMID: 36935524 DOI: 10.1111/acel.13813] [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: 09/21/2022] [Revised: 02/09/2023] [Accepted: 02/23/2023] [Indexed: 03/21/2023] Open
Abstract
Untargeted metabolomics is the study of all detectable small molecules, and in geroscience, metabolomics has shown great potential to describe the biological age-a complex trait impacted by many factors. Unfortunately, the sample sizes are often insufficient to achieve sufficient power and minimize potential biases caused by, for example, demographic factors. In this study, we present the analysis of biological age in ~10,000 toxicologic routine blood measurements. The untargeted screening samples obtained from ultra-high pressure liquid chromatography-quadruple time of flight mass spectrometry (UHPLC- QTOF) cover + 300 batches and + 30 months, lack pooled quality controls, lack controlled sample collection, and has previously only been used in small-scale studies. To overcome experimental effects, we developed and tested a custom neural network model and compared it with existing prediction methods. Overall, the neural network was able to predict the chronological age with an rmse of 5.88 years (r2 = 0.63) improving upon the 6.15 years achieved by existing normalization methods. We used the feature importance algorithm, Shapley Additive exPlanations (SHAP), to identify compounds related to the biological age. Most importantly, the model returned known aging markers such as kynurenine, indole-3-aldehyde, and acylcarnitines along with a potential novel aging marker, cyclo (leu-pro). Our results validate the association of tryptophan and acylcarnitine metabolism to aging in a highly uncontrolled large-s cale sample. Also, we have shown that by using robust computational methods it is possible to deploy large LC-MS datasets for metabolomics studies to reduce the risk of bias and empower aging studies.
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Affiliation(s)
- Johan K Lassen
- Bioinformatics Research Center, Aarhus University, Aarhus, Denmark
| | - Tingting Wang
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark
| | | | | | - Mogens Johannsen
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark
| | - Palle Villesen
- Bioinformatics Research Center, Aarhus University, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Mrowiec K, Kurczyk A, Jelonek K, Debik J, Giskeødegård GF, Bathen TF, Widłak P. Association of serum metabolome profile with the risk of breast cancer in participants of the HUNT2 study. Front Oncol 2023; 13:1116806. [PMID: 37007110 PMCID: PMC10061137 DOI: 10.3389/fonc.2023.1116806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundThe serum metabolome is a potential source of molecular biomarkers associated with the risk of breast cancer. Here we aimed to analyze metabolites present in pre-diagnostic serum samples collected from healthy women participating in the Norwegian Trøndelag Health Study (HUNT2 study) for whom long-term information about developing breast cancer was available.MethodsWomen participating in the HUNT2 study who developed breast cancer within a 15-year follow-up period (BC cases) and age-matched women who stayed breast cancer-free were selected (n=453 case-control pairs). Using a high-resolution mass spectrometry approach 284 compounds were quantitatively analyzed, including 30 amino acids and biogenic amines, hexoses, and 253 lipids (acylcarnitines, glycerides, phosphatidylcholines, sphingolipids, and cholesteryl esters).ResultsAge was a major confounding factor responsible for a large heterogeneity in the dataset, hence age-defined subgroups were analyzed separately. The largest number of metabolites whose serum levels differentiated BC cases and controls (82 compounds) were observed in the subgroup of younger women (<45 years old). Noteworthy, increased levels of glycerides, phosphatidylcholines, and sphingolipids were associated with reduced risk of cancer in younger and middle-aged women (≤64 years old). On the other hand, increased levels of serum lipids were associated with an enhanced risk of breast cancer in older women (>64 years old). Moreover, several metabolites could be detected whose serum levels were different between BC cases diagnosed earlier (<5 years) and later (>10 years) after sample collecting, yet these compounds were also correlated with the age of participants. Current results were coherent with the results of the NMR-based metabolomics study performed in the cohort of HUNT2 participants, where increased serum levels of VLDL subfractions were associated with reduced risk of breast cancer in premenopausal women.ConclusionsChanges in metabolite levels detected in pre-diagnostic serum samples, which reflected an impaired lipid and amino acid metabolism, were associated with long-term risk of breast cancer in an age-dependent manner.
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Affiliation(s)
- Katarzyna Mrowiec
- Center for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Agata Kurczyk
- Center for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Karol Jelonek
- Center for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Julia Debik
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Guro F. Giskeødegård
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Surgery, St. Olavs University Hospital, Trondheim, Norway
| | - Tone F. Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Medical Imaging and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Piotr Widłak
- Clinical Research Support Centre, Medical University of Gdańsk, Gdańsk, Poland
- *Correspondence: Piotr Widłak,
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Hogan KA, Zeidler JD, Beasley HK, Alsaadi AI, Alshaheeb AA, Chang YC, Tian H, Hinton AO, McReynolds MR. Using mass spectrometry imaging to visualize age-related subcellular disruption. Front Mol Biosci 2023; 10:906606. [PMID: 36968274 PMCID: PMC10032471 DOI: 10.3389/fmolb.2023.906606] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 01/24/2023] [Indexed: 03/10/2023] Open
Abstract
Metabolic homeostasis balances the production and consumption of energetic molecules to maintain active, healthy cells. Cellular stress, which disrupts metabolism and leads to the loss of cellular homeostasis, is important in age-related diseases. We focus here on the role of organelle dysfunction in age-related diseases, including the roles of energy deficiencies, mitochondrial dysfunction, endoplasmic reticulum (ER) stress, changes in metabolic flux in aging (e.g., Ca2+ and nicotinamide adenine dinucleotide), and alterations in the endoplasmic reticulum-mitochondria contact sites that regulate the trafficking of metabolites. Tools for single-cell resolution of metabolite pools and metabolic flux in animal models of aging and age-related diseases are urgently needed. High-resolution mass spectrometry imaging (MSI) provides a revolutionary approach for capturing the metabolic states of individual cells and cellular interactions without the dissociation of tissues. mass spectrometry imaging can be a powerful tool to elucidate the role of stress-induced cellular dysfunction in aging.
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Affiliation(s)
- Kelly A. Hogan
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, United States
- Signal Transduction and Molecular Nutrition Laboratory, Kogod Aging Center, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine, Rochester, MN, United States
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, United States
| | - Julianna D. Zeidler
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Heather K. Beasley
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States
| | - Abrar I. Alsaadi
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, United States
| | - Abdulkareem A. Alshaheeb
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, United States
| | - Yi-Chin Chang
- Department of Chemistry, Pennsylvania State University, University Park, PA, United States
| | - Hua Tian
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, United States
- Department of Chemistry, Pennsylvania State University, University Park, PA, United States
- *Correspondence: Hua Tian, ; Antentor O. Hinton Jr, ; Melanie R. McReynolds,
| | - Antentor O. Hinton
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States
- *Correspondence: Hua Tian, ; Antentor O. Hinton Jr, ; Melanie R. McReynolds,
| | - Melanie R. McReynolds
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, United States
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, United States
- *Correspondence: Hua Tian, ; Antentor O. Hinton Jr, ; Melanie R. McReynolds,
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Couto AN, Pohl HH, Bauer ME, Schwanke CHA. Accuracy of the triglyceride-glucose index as a surrogate marker for identifying metabolic syndrome in non-diabetic individuals. Nutrition 2023; 109:111978. [PMID: 36842288 DOI: 10.1016/j.nut.2023.111978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 01/14/2023] [Accepted: 01/15/2023] [Indexed: 01/22/2023]
Abstract
OBJECTIVES This study aimed to verify the performance of the triglyceride-glucose (TyG) index in predicting metabolic syndrome (MetS) using three different criteria in healthy individuals living in rural areas. In addition, it aimed to estimate the TyG index cutoff point in the prediction of MetS. METHODS The study was a cross-sectional study of healthy individuals (aged ≥18 y) living in rural areas of southern Brazil. Individuals with diabetes mellitus were excluded. The variables investigated were waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, fasting glucose, and TyG index. MetS was defined using three criteria: harmonized, International Diabetes Foundation, and National Cholesterol Education Program Adult Treatment Panel III. The Poisson regression model was used for the multivariate analysis. The performance of the TyG index in identifying MetS was determined by receiver operating characteristic curves. RESULTS A total of 133 individuals were included in this study, with a mean age of 49.0 ± 13.5 y; 54.1% were female. The TyG index performed better in predicting MetS through the harmonized criteria, with area under the curve (AUC) = 0.889 (95% confidence interval [CI], 0.829-0.949), followed by the International Diabetes Foundation criteria, with AUC = 0.877 (95% CI, 0.814-0.940), and the National Cholesterol Education Program criteria, with AUC = 0.867 (95% CI, 0.797-0.937). The TyG index cutoff points defined for the harmonized and International Diabetes Foundation criteria were ≥ 8.61, and ≥ 8.79 for the National Cholesterol Education Program Adult Treatment Panel III. CONCLUSIONS The TyG index proved to be valid for diagnosing MetS. The largest AUC of the TyG index was identified for the harmonized criteria. Thus, the TyG index can be used to diagnose MetS in individuals living in rural areas.
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Affiliation(s)
- Analie Nunes Couto
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
| | - Hildegard Hedwig Pohl
- Graduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Brazil
| | - Moisés Evandro Bauer
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil; Laboratory of Immunobiology, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil; National Institute of Science and Technology - Neuroimmunomodulation (INCT-NIM), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasília, Brazil
| | - Carla Helena Augustin Schwanke
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil; Institute of Geriatrics and Gerontology, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
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35
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Reavis KM, Bisgaard N, Canlon B, Dubno JR, Frisina RD, Hertzano R, Humes LE, Mick P, Phillips NA, Pichora-Fuller MK, Shuster B, Singh G. Sex-Linked Biology and Gender-Related Research Is Essential to Advancing Hearing Health. Ear Hear 2023; 44:10-27. [PMID: 36384870 PMCID: PMC10234332 DOI: 10.1097/aud.0000000000001291] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
There is robust evidence that sex (biological) and gender (behavioral/social) differences influence hearing loss risk and outcomes. These differences are noted for animals and humans-in the occurrence of hearing loss, hearing loss progression, and response to interventions. Nevertheless, many studies have not reported or disaggregated data by sex or gender. This article describes the influence of sex-linked biology (specifically sex-linked hormones) and gender on hearing and hearing interventions, including the role of sex-linked biology and gender in modifying the association between risk factors and hearing loss, and the effects of hearing loss on quality of life and functioning. Most prevalence studies indicate that hearing loss begins earlier and is more common and severe among men than women. Intrinsic sex-linked biological differences in the auditory system may account, in part, for the predominance of hearing loss in males. Sex- and gender-related differences in the effects of noise exposure or cardiovascular disease on the auditory system may help explain some of these differences in the prevalence of hearing loss. Further still, differences in hearing aid use and uptake, and the effects of hearing loss on health may also vary by sex and gender. Recognizing that sex-linked biology and gender are key determinants of hearing health, the present review concludes by emphasizing the importance of a well-developed research platform that proactively measures and assesses sex- and gender-related differences in hearing, including in understudied populations. Such research focus is necessary to advance the field of hearing science and benefit all members of society.
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Affiliation(s)
- Kelly M Reavis
- VA RR&D National Center for Rehabilitative Auditory Research, VA Portland Health Care System, Portland, Oregon, USA.,OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Barbara Canlon
- Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden
| | - Judy R Dubno
- Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Robert D Frisina
- Department of Medical Engineering and Communication Sciences & Disorders, University of South Florida, Tampa, Florida, USA
| | - Ronna Hertzano
- Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Institute for Genome Science, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Larry E Humes
- Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, Indiana, USA
| | - Paul Mick
- Department of Surgery, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Natalie A Phillips
- Department of Psychology, Concordia University, Montréal, Québec, Canada
| | | | - Benjamin Shuster
- Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Mäkinen VP, Karsikas M, Kettunen J, Lehtimäki T, Kähönen M, Viikari J, Perola M, Salomaa V, Järvelin MR, Raitakari OT, Ala-Korpela M. Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults. Int J Epidemiol 2022; 51:1970-1983. [PMID: 35441226 DOI: 10.1093/ije/dyac062] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 03/20/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Quantification of metabolic changes over the human life course is essential to understanding ageing processes. Yet longitudinal metabolomics data are rare and long gaps between visits can introduce biases that mask true trends. We introduce new ways to process quantitative time-series population data and elucidate metabolic ageing trends in two large cohorts. METHODS Eligible participants included 1672 individuals from the Cardiovascular Risk in Young Finns Study and 3117 from the Northern Finland Birth Cohort 1966. Up to three time points (ages 24-49 years) were analysed by nuclear magnetic resonance metabolomics and clinical biochemistry (236 measures). Temporal trends were quantified as median change per decade. Sample quality was verified by consistency of shared biomarkers between metabolomics and clinical assays. Batch effects between visits were mitigated by a new algorithm introduced in this report. The results below satisfy multiple testing threshold of P < 0.0006. RESULTS Women gained more weight than men (+6.5% vs +5.0%) but showed milder metabolic changes overall. Temporal sex differences were observed for C-reactive protein (women +5.1%, men +21.1%), glycine (women +5.2%, men +1.9%) and phenylalanine (women +0.6%, men +3.5%). In 566 individuals with ≥+3% weight gain vs 561 with weight change ≤-3%, divergent patterns were observed for insulin (+24% vs -10%), very-low-density-lipoprotein triglycerides (+32% vs -6%), high-density-lipoprotein2 cholesterol (-6.5% vs +4.7%), isoleucine (+5.7% vs -6.0%) and C-reactive protein (+25% vs -22%). CONCLUSION We report absolute and proportional trends for 236 metabolic measures as new reference material for overall age-associated and specific weight-driven changes in real-world populations.
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Affiliation(s)
- Ville-Petteri Mäkinen
- Computational and Systems Biology Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.,Australian Centre for Precision Health, University of South Australia, Adelaide, Australia.,Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Mari Karsikas
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Johannes Kettunen
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Markus Perola
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.,Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, UK
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital
| | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, Oulu, Finland.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
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37
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Risi E, Lisanti C, Vignoli A, Biagioni C, Paderi A, Cappadona S, Monte FD, Moretti E, Sanna G, Livraghi L, Malorni L, Benelli M, Puglisi F, Luchinat C, Tenori L, Biganzoli L. Risk assessment of disease recurrence in early breast cancer: A serum metabolomic study focused on elderly patients. Transl Oncol 2022; 27:101585. [PMID: 36403505 PMCID: PMC9676351 DOI: 10.1016/j.tranon.2022.101585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 10/28/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND We previously showed that metabolomics predicts relapse in early breast cancer (eBC) patients, unselected by age. This study aims to identify a "metabolic signature" that differentiates eBC from advanced breast cancer (aBC) patients, and to investigate its potential prognostic role in an elderly population. METHODS Serum samples from elderly breast cancer (BC) patients enrolled in 3 onco-geriatric trials, were retrospectively analyzed via proton nuclear magnetic resonance (1H NMR) spectroscopy. Three nuclear magnetic resonance (NMR) spectra were acquired for each serum sample: NOESY1D, CPMG, Diffusion-edited. Random Forest (RF) models to predict BC relapse were built on NMR spectra, and resulting RF risk scores were evaluated by Kaplan-Meier curves. RESULTS Serum samples from 140 eBC patients and 27 aBC were retrieved. In the eBC cohort, median age was 76 years; 77% of patients had luminal, 10% HER2-positive and 13% triple negative (TN) BC. Forty-two percent of patients had tumors >2 cm, 43% had positive axillary nodes. Using NOESY1D spectra, the RF classifier discriminated free-from-recurrence eBC from aBC with sensitivity, specificity and accuracy of 81%, 67% and 70% respectively. We tested the NOESY1D spectra of each eBC patient on the RF models already calculated. We found that patients classified as "high risk" had higher risk of disease recurrence (hazard ratio (HR) 3.42, 95% confidence interval (CI) 1.58-7.37) than patients at low-risk. CONCLUSIONS This analysis suggests that a "metabolic signature", identified employing NMR fingerprinting, is able to predict the risk of disease recurrence in elderly patients with eBC independently from standard clinicopathological features.
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Affiliation(s)
- Emanuela Risi
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Camilla Lisanti
- Cro Aviano - National Cancer Institute - IRCCS, Medical Oncology and Cancer Prevention, Aviano, Italy
| | - Alessia Vignoli
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
| | | | - Agnese Paderi
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Silvia Cappadona
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Francesca Del Monte
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Erica Moretti
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Giuseppina Sanna
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Luca Livraghi
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | - Luca Malorni
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy
| | | | - Fabio Puglisi
- Cro Aviano - National Cancer Institute - IRCCS, Medical Oncology and Cancer Prevention, Aviano, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
| | - Laura Biganzoli
- Sandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy,Corresponding author.
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38
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Bioactive Yoghurt Containing Curcumin and Chlorogenic Acid Reduces Inflammation in Postmenopausal Women. Nutrients 2022; 14:nu14214619. [DOI: 10.3390/nu14214619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Menopause is marked by a gradual and permanent decrease of estrogen from the ovaries, leading to metabolic and physiological changes in the body. Combined with increased body mass index, postmenopausal women have elevated systemic inflammation and metabolic disturbances leading to increased risk of developing chronic diseases. A bioactive coconut yoghurt containing curcumin and chlorogenic acid was developed with the potential to target inflammatory processes. In this randomized crossover study, healthy postmenopausal women with a BMI of 25–40 were recruited to consume 125 g of either the bioactive or placebo yoghurt. Blood samples were collected at baseline, 30 min, and 1, 2, 3 and 4 h postprandially. Plasma inflammatory markers (TNFα and IL6) and metabolic markers (triglycerides, insulin and glucose) were measured. Participants had significantly lower plasma TNFα Cmax after consumption of the bioactive yoghurt compared to placebo (mean difference = 0.3 pg/mL; p = 0.04). Additionally, plasma TNFα was significantly lower postprandially compared to baseline after consumption of the bioactive yogurt but not the placebo. No differences were observed in the metabolic markers measured. Conclusions: The bioactive yoghurt fortified with curcumin and chlorogenic acid has the potential to reduce inflammatory mediators; however, a larger and longer-term study is required to confirm these findings.
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Raguindin PF, Cardona I, Muka T, Lambrinoudaki I, Gebhard C, Franco OH, Marques‐Vidal P, Glisic M. Does reproductive stage impact cardiovascular disease risk factors? Results from a population-based cohort in Lausanne (CoLaus study). Clin Endocrinol (Oxf) 2022; 97:568-580. [PMID: 35377481 PMCID: PMC9790265 DOI: 10.1111/cen.14730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/25/2022] [Accepted: 03/26/2022] [Indexed: 12/30/2022]
Abstract
CONTEXT Menopause has been associated with adverse cardiovascular disease (CVD) risk profile, yet it is unclear whether the changes in CVD risk factors differ by reproductive stage independently of underlying ageing trajectories. DESIGN The CoLaus study is a prospective population-based cohort study in Lausanne, Switzerland. PATIENTS We used data from women at baseline and follow-up (mean: 5.6 ± 0.5 years) from 2003 to 2012 who did not use hormone therapy. We classified women into (i) premenopausal, (ii) menopausal transition, (iii) early (≤5 years) and (iv) late (>5 years) postmenopausal by comparing their menstruation status at baseline and follow-up. MEASUREMENTS We measured fasting lipids, glucose and cardiovascular inflammatory markers. We used repeated measures (linear mixed models) for longitudinal analysis, using premenopausal women as a reference category. We adjusted analyses for age, medications and lifestyle factors. RESULTS We used the data from 1710 women aged 35-75 years. Longitudinal analysis showed that the changes in CVD risk factors were not different in the other three menopausal categories compared to premenopausal women. When age was used as a predictor variable and adjusted for menopause status, most CVD risk factors increased, while interleukin-6 and interleukin-1β decreased with advancing age. CONCLUSION The current study suggests that women have a worsening cardiovascular risk profile as they age, and although menopausal women may have higher levels of cardiovascular risk factors compared to premenopausal women at any given time, the 5-year changes in cardiovascular risk factors may not depend on the reproductive stage.
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Affiliation(s)
- Peter Francis Raguindin
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
- Swiss Paraplegic ResearchNottwilSwitzerland
- Graduate School for Health SciencesUniversity of BernBernSwitzerland
| | - Isabel Cardona
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Taulant Muka
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Irene Lambrinoudaki
- 2nd Department of Obstetrics and Gynecology, Medical School, Aretaieio HospitalNational and Kapodistrian University of AthensAthensGreece
| | - Catherine Gebhard
- Department of Nuclear MedicineUniversity Hospital ZurichZurichSwitzerland
| | - Oscar H. Franco
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Pedro Marques‐Vidal
- Department of Nuclear Medicine, Lausanne University Hospital (CHUV)University of LausanneLausanneSwitzerland
| | - Marija Glisic
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
- Swiss Paraplegic ResearchNottwilSwitzerland
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40
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Yue T, Tan H, Shi Y, Xu M, Luo S, Weng J, Xu S. Serum Metabolomic Profiling in Aging Mice Using Liquid Chromatography-Mass Spectrometry. Biomolecules 2022; 12:1594. [PMID: 36358944 PMCID: PMC9687663 DOI: 10.3390/biom12111594] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/20/2022] [Accepted: 10/27/2022] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND The process of aging and metabolism are intricately linked, thus rendering the identification of reliable biomarkers related to metabolism crucial for delaying the aging process. However, research of reliable markers that reflect aging profiles based on machine learning is scarce. METHODS Serum samples were obtained from aged mice (18-month-old) and young mice (3-month-old). LC-MS was used to perform a comprehensive analysis of the serum metabolome and machine learning was used to screen potential aging-related biomarkers. RESULTS In total, aging mice were characterized by 54 different metabolites when compared to control mice with criteria: VIP ≥ 1, q-value < 0.05, and Fold-Change ≥ 1.2 or ≤0.83. These metabolites were mostly involved in fatty acid biosynthesis, cysteine and methionine metabolism, D-glutamine and D-glutamate metabolism, and the citrate cycle (TCA cycle). We merged the comprehensive analysis and four algorithms (LR, GNB, SVM, and RF) to screen aging-related biomarkers, leading to the recognition of oleic acid. In addition, five metabolites were identified as novel aging-related indicators, including oleic acid, citric acid, D-glutamine, trypophol, and L-methionine. CONCLUSIONS Changes in the metabolism of fatty acids and conjugates, organic acids, and amino acids were identified as metabolic dysregulation related to aging. This study revealed the metabolic profile of aging and provided insights into novel potential therapeutic targets for delaying the effects of aging.
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Affiliation(s)
| | | | | | | | | | - Jianping Weng
- Correspondence: (J.W.); (S.X.); Tel.: +86-0551-63602683 (J.W.)
| | - Suowen Xu
- Correspondence: (J.W.); (S.X.); Tel.: +86-0551-63602683 (J.W.)
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41
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Panyard DJ, Yu B, Snyder MP. The metabolomics of human aging: Advances, challenges, and opportunities. SCIENCE ADVANCES 2022; 8:eadd6155. [PMID: 36260671 PMCID: PMC9581477 DOI: 10.1126/sciadv.add6155] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
As the global population becomes older, understanding the impact of aging on health and disease becomes paramount. Recent advancements in multiomic technology have allowed for the high-throughput molecular characterization of aging at the population level. Metabolomics studies that analyze the small molecules in the body can provide biological information across a diversity of aging processes. Here, we review the growing body of population-scale metabolomics research on aging in humans, identifying the major trends in the field, implicated biological pathways, and how these pathways relate to health and aging. We conclude by assessing the main challenges in the research to date, opportunities for advancing the field, and the outlook for precision health applications.
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Affiliation(s)
- Daniel J. Panyard
- Department of Genetics, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA
- Corresponding author. (D.J.P.); (M.P.S.)
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA
- Corresponding author. (D.J.P.); (M.P.S.)
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42
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Tabassum R, Ruotsalainen S, Ottensmann L, Gerl MJ, Klose C, Tukiainen T, Pirinen M, Simons K, Widén E, Ripatti S. Lipidome- and Genome-Wide Study to Understand Sex Differences in Circulatory Lipids. J Am Heart Assoc 2022; 11:e027103. [PMID: 36193934 PMCID: PMC9673737 DOI: 10.1161/jaha.122.027103] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Despite well-recognized differences in the atherosclerotic cardiovascular disease risk between men and women, sex differences in risk factors and sex-specific mechanisms in the pathophysiology of atherosclerotic cardiovascular disease remain poorly understood. Lipid metabolism plays a central role in the development of atherosclerotic cardiovascular disease. Understanding sex differences in lipids and their genetic determinants could provide mechanistic insights into sex differences in atherosclerotic cardiovascular disease and aid in precise risk assessment. Herein, we examined sex differences in plasma lipidome and heterogeneity in genetic influences on lipidome in men and women through sex-stratified genome-wide association analyses. Methods and Results We used data consisting of 179 lipid species measured by shotgun lipidomics in 7266 individuals from the Finnish GeneRISK cohort and sought for replication using independent data from 2045 participants. Significant sex differences in the levels of 141 lipid species were observed (P<7.0×10-4). Interestingly, 121 lipid species showed significant age-sex interactions, with opposite age-related changes in 39 lipid species. In general, most of the cholesteryl esters, ceramides, lysophospholipids, and glycerides were higher in 45- to 50-year-old men compared with women of same age, but the sex differences narrowed down or reversed with age. We did not observe any major differences in genetic effect in the sex-stratified genome-wide association analyses, which suggests that common genetic variants do not have a major role in sex differences in lipidome. Conclusions Our study provides a comprehensive view of sex differences in circulatory lipids pointing to potential sex differences in lipid metabolism and highlights the need for sex- and age-specific prevention strategies.
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Affiliation(s)
- Rubina Tabassum
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland
| | - Linda Ottensmann
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland
| | | | | | - Taru Tukiainen
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland.,Department of Public Health, Clinicum, Faculty of Medicine University of Helsinki Finland.,Department of Mathematics and Statistics University of Helsinki Finland
| | | | - Elisabeth Widén
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, HiLIFE University of Helsinki Finland.,Department of Public Health, Clinicum, Faculty of Medicine University of Helsinki Finland.,Broad Institute of the Massachusetts Institute of Technology and Harvard University Cambridge MA USA
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43
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Patel D, Lee TJ, Kumar S, Vyavahare S, Worth A, Hill WD, Hamrick M, Isales CM, Shinde RS, Fulzele S. Alterations in bone metabolites with age in C57BL/6 mice model. Biogerontology 2022; 23:629-640. [PMID: 36056226 PMCID: PMC10918568 DOI: 10.1007/s10522-022-09986-7] [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: 03/18/2022] [Accepted: 08/17/2022] [Indexed: 11/28/2022]
Abstract
Understanding the pathophysiology behind age-related diseases is an urgent need as the elderly population continues to grow. With age, there is a high risk of musculoskeletal deterioration and associated morbidity and mortality. Although the exact mechanism behind age-related degeneration is unknown, it is well established that alteration in cellular metabolism is one of the important contributing factors. Alteration in signaling pathways with age leads to the accumulation or depletion of several metabolites that play a vital role in musculoskeletal pathophysiology. This study aimed to identify age-related changes in bone tissue metabolites in C57BL/6 mice. We then correlated the differentially expressed metabolites with their functions in bone biology. In both aged males and females, hydroxyproline, glutamine, and alpha-linolenic acid levels were decreased. In aged females, Ornithine (p value = 0.001), L-Proline (p value = 0.008), Uridine (p value = 0.001), Aspartic Acid (p value = 0.004) levels were significantly decreased, and glutamate (p value = 0.002) was elevated. In aged males, N-acetyl-D-glucosamine (pvalue = 0.010), Adrenic acid (pvalue = 0.0099), Arachidonic acid (p value = 0.029) and Allantoin (p value = 0.004) levels were decreased. Metabolic pathway analysis revealed that purine and D-glutamine and D-glutamate metabolism were significantly altered in both sexes, while arginine biosynthesis in females and lipid metabolism in males were highly affected. These differences in metabolic signaling might be one of the reasons for the discrepancy in musculoskeletal disease manifestation between the two sexes. Understanding the role of these metabolites play in the aging bone will allow for new sex-specific targeted therapies against the progression of musculoskeletal diseases.
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Affiliation(s)
- Dhara Patel
- Department of Medicine, Augusta University, Augusta, GA, 30912, USA
| | - Tae Jin Lee
- Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, 30912, USA
| | - Sandeep Kumar
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
| | - Sagar Vyavahare
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
| | - Alison Worth
- Immunology, Microenvironment and Metastasis Program, The Wistar Institute Cancer Center, Philadelphia, PA, USA
| | - William D Hill
- Medical University of South Carolina, Charleston, SC, 29403, USA
| | - Mark Hamrick
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - Carlos M Isales
- Department of Medicine, Augusta University, Augusta, GA, 30912, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - Rahul S Shinde
- Immunology, Microenvironment and Metastasis Program, The Wistar Institute Cancer Center, Philadelphia, PA, USA
| | - Sadanand Fulzele
- Department of Medicine, Augusta University, Augusta, GA, 30912, USA.
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA.
- Center for Healthy Aging, Augusta University, Augusta, GA, USA.
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44
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Javaheri A, Diab A, Zhao L, Qian C, Cohen JB, Zamani P, Kumar A, Wang Z, Ebert C, Maranville J, Kvikstad E, Basso M, van Empel V, Richards AM, Doughty R, Rietzschell E, Kammerhoff K, Gogain J, Schafer P, Seiffert DA, Gordon DA, Ramirez-Valle F, Mann DL, Cappola TP, Chirinos JA. Proteomic Analysis of Effects of Spironolactone in Heart Failure With Preserved Ejection Fraction. Circ Heart Fail 2022; 15:e009693. [PMID: 36126144 PMCID: PMC9504263 DOI: 10.1161/circheartfailure.121.009693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial) suggested clinical benefits of spironolactone treatment among patients with heart failure with preserved ejection fraction enrolled in the Americas. However, a comprehensive assessment of biologic pathways impacted by spironolactone therapy in heart failure with preserved ejection fraction has not been performed. METHODS We conducted aptamer-based proteomic analysis utilizing 5284 modified aptamers to 4928 unique proteins on plasma samples from TOPCAT participants from the Americas (n=164 subjects with paired samples at baseline and 1 year) to identify proteins and pathways impacted by spironolactone therapy in heart failure with preserved ejection fraction. Mean percentage change from baseline was calculated for each protein. Additionally, we conducted pathway analysis of proteins altered by spironolactone. RESULTS Spironolactone therapy was associated with proteome-wide significant changes in 7 proteins. Among these, CARD18 (caspase recruitment domain-containing protein 18), PKD2 (polycystin 2), and PSG2 (pregnancy-specific glycoprotein 2) were upregulated, whereas HGF (hepatic growth factor), PLTP (phospholipid transfer protein), IGF2R (insulin growth factor 2 receptor), and SWP70 (switch-associated protein 70) were downregulated. CARD18, a caspase-1 inhibitor, was the most upregulated protein by spironolactone (-0.5% with placebo versus +66.5% with spironolactone, P<0.0001). The top canonical pathways that were significantly associated with spironolactone were apelin signaling, stellate cell activation, glycoprotein 6 signaling, atherosclerosis signaling, liver X receptor activation, and farnesoid X receptor activation. Among the top pathways, collagens were a consistent theme that increased in patients receiving placebo but decreased in patients randomized to spironolactone. CONCLUSIONS Proteomic analysis in the TOPCAT trial revealed proteins and pathways altered by spironolactone, including the caspase inhibitor CARD18 and multiple pathways that involved collagens. In addition to effects on fibrosis, our studies suggest potential antiapoptotic effects of spironolactone in heart failure with preserved ejection fraction, a hypothesis that merits further exploration.
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Affiliation(s)
- Ali Javaheri
- Washington University School of Medicine, St. Louis, MO
| | - Ahmed Diab
- Washington University School of Medicine, St. Louis, MO
| | - Lei Zhao
- Bristol Myers Squibb Company, Lawrenceville, NJ
| | - Chenao Qian
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
| | - Jordana B. Cohen
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
| | - Payman Zamani
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
| | - Anupam Kumar
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
| | | | | | | | | | | | - Vanessa van Empel
- Department of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - A. Mark Richards
- Cardiovascular Research Institute, National University of Singapore, Singapore
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Rob Doughty
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Ernst Rietzschell
- Department of Cardiovascular Diseases, Ghent University Hospital, Ghent, Belgium
| | | | | | | | | | | | | | | | - Thomas P. Cappola
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
| | - Julio A. Chirinos
- Perelman School of Medicine. University of Pennsylvania School of Medicine/Hospital of the University of Pennsylvania. Philadelphia, PA
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Karppinen JE, Törmäkangas T, Kujala UM, Sipilä S, Laukkanen J, Aukee P, Kovanen V, Laakkonen EK. Menopause modulates the circulating metabolome: evidence from a prospective cohort study. Eur J Prev Cardiol 2022; 29:1448-1459. [PMID: 35930503 DOI: 10.1093/eurjpc/zwac060] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/22/2022] [Accepted: 03/17/2022] [Indexed: 11/12/2022]
Abstract
AIMS We studied the changes in the circulating metabolome and their relation to the menopausal hormonal shift in 17β-oestradiol and follicle-stimulating hormone levels among women transitioning from perimenopause to early postmenopause. METHODS AND RESULTS We analysed longitudinal data from 218 Finnish women, 35 of whom started menopausal hormone therapy during the study. The menopausal transition was monitored with menstrual diaries and serum hormone measurements. The median follow-up was 14 months (interquartile range: 8-20). Serum metabolites were quantified with targeted nuclear magnetic resonance metabolomics. The model results were adjusted for age, follow-up duration, education, lifestyle, and multiple comparisons. Menopause was associated with 85 metabolite measures. The concentration of apoB (0.17 standard deviation [SD], 99.5% confidence interval [CI] 0.03-0.31), very-low-density lipoprotein triglycerides (0.25 SD, CI 0.05-0.45) and particles (0.21 SD, CI 0.05-0.36), low-density lipoprotein (LDL) cholesterol (0.17 SD, CI 0.01-0.34) and particles (0.17 SD, CI 0.03-0.31), high-density lipoprotein (HDL) triglycerides (0.24 SD, CI 0.02-0.46), glycerol (0.32 SD, CI 0.07-0.58) and leucine increased (0.25 SD, CI 0.02-0.49). Citrate (-0.36 SD, CI -0.57 to -0.14) and 3-hydroxybutyrate concentrations decreased (-0.46 SD, CI -0.75 to -0.17). Most metabolite changes were associated with the menopausal hormonal shift. This explained 11% and 9% of the LDL cholesterol and particle concentration increase, respectively. Menopausal hormone therapy was associated with increased medium-to-large HDL particle count and decreased small-to-medium LDL particle and glycine concentration. CONCLUSIONS Menopause is associated with proatherogenic circulating metabolome alterations. Female sex hormones levels are connected to the alterations, highlighting their impact on women's cardiovascular health.
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Affiliation(s)
- Jari E Karppinen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Timo Törmäkangas
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Urho M Kujala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Sarianna Sipilä
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Jari Laukkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Department of Internal Medicine, Central Finland Health Care District, Jyväskylä, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Pauliina Aukee
- Department of Obstetrics and Gynecology, Pelvic Floor Research and Therapy Unit, Central Finland Health Care District, Jyväskylä, Finland
| | - Vuokko Kovanen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Eija K Laakkonen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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Lipoprotein subfractions and subclinical vascular health in middle aged women: does menopause status matter? Menopause 2022; 29:911-919. [PMID: 35819840 PMCID: PMC9339472 DOI: 10.1097/gme.0000000000001998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE During midlife, women experience changes in lipoprotein profiles and deterioration in vascular health measures. We analyzed the associations of groups of lipoprotein subfractions as determined by principal component analysis (PCA) with subclinical vascular health measures in midlife women and tested if these associations were modified by menopause status. METHODS PCA was used to generate principal components (PCs) from 12 lipoprotein subfractions quantified among 545 midlife women. The associations of the identified PCs and concurrent vascular health measures were assessed using linear or logistic regressions among participants with carotid intima-media thickness (cIMT; n = 259), coronary artery calcium (n = 249), or aortic calcium (n = 248) scores. RESULTS PCA generated four PCs representing groups of (1) small, medium, and large very low-density lipoproteins subclasses-very low-density lipoprotein PC; (2) very small, small, and medium low-density lipoprotein (LDL) subclasses-small-medium LDL-PC; (3) large and small high-density lipoproteins subclasses and midzone particles-high-density lipoprotein PC; and (4) large LDL and small intermediate-density lipoproteins-large LDL-PC. Small-medium LDL-PC was positively associated with cIMT, coronary artery calcium, and aortic calcium in unadjusted but not in adjusted models. Menopause status modified the positive association of the small-medium LDL-PC with cIMT (interaction P = 0.02) such that this association was stronger after versus before menopause (P = 0.01). CONCLUSIONS Carotid intimal medial thickening is positively and independently associated with small- and medium-sized LDL particles after menopause. Monitoring levels of specific lipoprotein fractions may have value in identifying midlife women at risk for developing atherosclerotic vascular disease.
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Ala-Korpela M, Zhao S, Järvelin MR, Mäkinen VP, Ohukainen P. Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology: disclosure of fundamental structural and metabolic relationships. Int J Epidemiol 2022; 51:996-1011. [PMID: 34405869 PMCID: PMC9189959 DOI: 10.1093/ije/dyab156] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 07/09/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Quantitative lipoprotein analytics using nuclear magnetic resonance (NMR) spectroscopy is currently commonplace in large-scale studies. One methodology has become widespread and is currently being utilized also in large biobanks. It allows the comprehensive characterization of 14 lipoprotein subclasses, clinical lipids, apolipoprotein A-I and B. The details of these data are conceptualized here in relation to lipoprotein metabolism with particular attention on the fundamental characteristics of subclass particle numbers, lipid concentrations and compositional measures. METHODS AND RESULTS The NMR methodology was applied to fasting serum samples from Northern Finland Birth Cohorts 1966 and 1986 with 5651 and 5605 participants, respectively. All results were highly consistent between the cohorts. Circulating lipid concentrations in a particular lipoprotein subclass arise predominantly as the result of the circulating number of those subclass particles. The spherical lipoprotein particle shape, with a radially oriented surface monolayer, imposes size-dependent biophysical constraints for the lipid composition of individual subclass particles and inherently restricts the accommodation of metabolic changes via compositional modifications. The new finding that the relationship between lipoprotein subclass particle concentrations and the particle size is log-linear reveals that circulating lipoprotein particles are also under rather strict metabolic constraints for both their absolute and relative concentrations. CONCLUSIONS The fundamental structural and metabolic relationships between lipoprotein subclasses elucidated in this study empower detailed interpretation of lipoprotein metabolism. Understanding the intricate details of these extensive data is important for the precise interpretation of novel therapeutic opportunities and for fully utilizing the potential of forthcoming analyses of genetic and metabolic data in large biobanks.
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Affiliation(s)
- Mika Ala-Korpela
- Corresponding author. Computational Medicine, Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland. E-mail:
| | - Siyu Zhao
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, UK
| | - Ville-Petteri Mäkinen
- Australian Centre for Precision Health, University of South Australia, Adelaide, Australia
- Computational and Systems Biology Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Pauli Ohukainen
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
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The newborn metabolome: associations with gestational diabetes, sex, gestation, birth mode, and birth weight. Pediatr Res 2022; 91:1864-1873. [PMID: 34526650 DOI: 10.1038/s41390-021-01672-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 07/07/2021] [Accepted: 07/14/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Pathways towards many adult-onset conditions begin early in life, even in utero. Maternal health in pregnancy influences this process, but little is known how it affects neonatal metabolism. We investigated associations between pregnancy and birth factors and cord blood metabolomic profile in a large, population-derived cohort. METHODS Metabolites were measured using nuclear magnetic resonance in maternal (28 weeks gestation) and cord serum from 912 mother-child pairs in the Barwon Infant Study pre-birth cohort. Associations between maternal (metabolites, age, BMI, smoking), pregnancy (pre-eclampsia, gestational diabetes (GDM)), and birth characteristics (delivery mode, gestational age, weight, infant sex) with 72 cord blood metabolites were examined by linear regression. RESULTS Delivery mode, sex, gestational age, and birth weight were associated with specific metabolite levels in cord blood, including amino acids, fatty acids, and cholesterols. GDM was associated with higher cord blood levels of acetoacetate and 3-hydroxybutyrate. CONCLUSIONS Neonatal factors, particularly delivery mode, were associated with many cord blood metabolite differences, including those implicated in later risk of cardiometabolic disease. Associations between GDM and higher offspring ketone levels at birth are consistent with maternal ketosis in diabetic pregnancies. Further work is needed to determine whether these neonatal metabolome differences associate with later health outcomes. IMPACT Variations in blood metabolomic profile have been linked to health status in adults and children, but corresponding data in neonates are scarce. We report evidence that pregnancy complications, mode of delivery, and offspring characteristics, including sex, are independently associated with a range of circulating metabolites at birth, including ketone bodies, amino acids, cholesterols, and inflammatory markers. Independent of birth weight, exposure to gestational diabetes is associated with higher cord blood ketone bodies and citrate. These findings suggest that pregnancy complications, mode of delivery, gestational age, and measures of growth influence metabolic pathways prior to birth, potentially impacting later health and development.
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Nam MJ, Kim H, Choi YJ, Cho KH, Kim SM, Roh YK, Han K, Jung JH, Park YG, Park JH, Kim DH. A Longitudinal Retrospective Observational Study on Obesity Indicators and the Risk of Impaired Fasting Glucose in Pre- and Postmenopausal Women. J Clin Med 2022; 11:jcm11102795. [PMID: 35628921 PMCID: PMC9147611 DOI: 10.3390/jcm11102795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/29/2022] [Accepted: 05/14/2022] [Indexed: 12/10/2022] Open
Abstract
The impact of obesity could differ according to menopausal status since women undergo significant physiologic and metabolic changes due to menopause. We investigated the association between various major obesity indicators and the risk of impaired fasting glucose (IFG) according to menopausal status using nationally representative data. A total of 571,286 premenopausal and 519,561 postmenopausal women who underwent both Korean National Health Insurance Service (NHIS) cancer screening in 2009 and health check-ups in 2017 were analyzed. Multivariate logistic regression analyses were used to assess the effect of independent variables of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) in 2009, on dependent variable IFG in 2017. After adjusting for potential confounders, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of developing IFG were analyzed. In the premenopausal group, the OR of obese BMI (≥25 kg/m2, <30 kg/m2) women was increased to 2.228 (95% CI: 2.139−2.321) compared to the normal BMI (≥18.5, <23 kg/m2) women as a reference. In the postmenopausal group, there was also a higher OR of 1.778 (95% CI: 1.715−1.843) in the obese BMI women compared to the normal group. A similar association of increasing ORs for IFG was shown in both groups when stratified by WC and WHtR. This nationwide study revealed that obesity and abdominal obesity, defined by various obesity indicators, consistently increased odds of acquiring IFG after 8 years in both pre- and postmenopausal groups, with the association being more robust in the premenopausal group. Our findings suggest that weight management and lifestyle modification may require more attention in premenopausal women.
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Affiliation(s)
- Myung Ji Nam
- Department of Family Medicine, Korea University Ansan Hospital, College of Medicine, Ansan 15355, Korea; (M.J.N.); (H.K.); (Y.J.C.)
| | - Hyunjin Kim
- Department of Family Medicine, Korea University Ansan Hospital, College of Medicine, Ansan 15355, Korea; (M.J.N.); (H.K.); (Y.J.C.)
| | - Yeon Joo Choi
- Department of Family Medicine, Korea University Ansan Hospital, College of Medicine, Ansan 15355, Korea; (M.J.N.); (H.K.); (Y.J.C.)
| | - Kyung-Hwan Cho
- Department of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea;
| | - Seon Mee Kim
- Department of Family Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea;
| | - Yong-Kyun Roh
- Department of Family Medicine, Hallym University Medical Center, Hallym University College of Medicine, Seoul 07441, Korea;
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul 06978, Korea;
| | - Jin-Hyung Jung
- Department of Biostatistics, Catholic University College of Medicine, Seoul 06591, Korea; (J.-H.J.); (Y.-G.P.)
| | - Yong-Gyu Park
- Department of Biostatistics, Catholic University College of Medicine, Seoul 06591, Korea; (J.-H.J.); (Y.-G.P.)
| | - Joo-Hyun Park
- Department of Family Medicine, Korea University Ansan Hospital, College of Medicine, Ansan 15355, Korea; (M.J.N.); (H.K.); (Y.J.C.)
- Correspondence: (J.-H.P.); (D.-H.K.)
| | - Do-Hoon Kim
- Department of Family Medicine, Korea University Ansan Hospital, College of Medicine, Ansan 15355, Korea; (M.J.N.); (H.K.); (Y.J.C.)
- Correspondence: (J.-H.P.); (D.-H.K.)
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Metabolic Alterations in Cellular Senescence: The Role of Citrate in Ageing and Age-Related Disease. Int J Mol Sci 2022; 23:ijms23073652. [PMID: 35409012 PMCID: PMC8998297 DOI: 10.3390/ijms23073652] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 01/27/2023] Open
Abstract
Recent mouse model experiments support an instrumental role for senescent cells in age-related diseases and senescent cells may be causal to certain age-related pathologies. A strongly supported hypothesis is that extranuclear chromatin is recognized by the cyclic GMP–AMP synthase-stimulator of interferon genes pathway, which in turn leads to the induction of several inflammatory cytokines as part of the senescence-associated secretory phenotype. This sterile inflammation increases with chronological age and age-associated disease. More recently, several intracellular and extracellular metabolic changes have been described in senescent cells but it is not clear whether any of them have functional significance. In this review, we highlight the potential effect of dietary and age-related metabolites in the modulation of the senescent phenotype in addition to discussing how experimental conditions may influence senescent cell metabolism, especially that of energy regulation. Finally, as extracellular citrate accumulates following certain types of senescence, we focus on the recently reported role of extracellular citrate in aging and age-related pathologies. We propose that citrate may be an active component of the senescence-associated secretory phenotype and via its intake through the diet may even contribute to the cause of age-related disease.
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