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Wu S, Qiao L, Liu H, Li YL, Wang R, Yin Y, Li E, Wang L, Guan X, Yin L, Liu Q, Peng X, Zhang Y, Yang Z, Zuo L, Zhang C. Age related gut microbiota regulates energy-related metabolism to influence natural aging phenotypes in the heart. Exp Gerontol 2025; 203:112734. [PMID: 40118127 DOI: 10.1016/j.exger.2025.112734] [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: 12/13/2024] [Revised: 03/08/2025] [Accepted: 03/14/2025] [Indexed: 03/23/2025]
Abstract
As the population ages, problems pertaining to health and life expectancy due to the aging heart have become increasingly prominent. The gut microbiota has become a potential therapeutic target in several diseases, including cardiovascular diseases. Current studies on the roles of the gut microbiota in the cardiovascular system have focused mainly on cardiovascular diseases; therefore, the effects of the gut microbiota on the natural aging of myocardial tissue remain unclear. The present study aimed to explore the roles and mechanisms of the gut microbiota and related metabolites in the natural aging of the heart. Animal models of fecal microbiota transplantation (FMT) were established in elderly and young rats. 16S rRNA sequencing revealed that the gut microbiota of the recipients shifted toward the profile of the donors, with concomitant cardiac structure and diastolic function changes detected via ultrasound and positron emission tomography-computed tomography (PET-CT). A group of significantly enriched myocardial metabolites detected by LC/MS were involved in the fatty acid β-oxidation process. Together with altered glucose uptake, as revealed by PET-CT, changes in ATP content and mitochondrial structure further verified a metabolic difference related to energy among rats transplanted with the gut microbiota from donors of different ages. This study demonstrated that gut microbes may participate in the physiological aging process of the rat heart by regulating oxidative stress and autophagy. The gut microbiota has been shown to be involved in the natural aging of the heart at multiple levels, from the organ level to the metabolically plastic myocardiocytes and associated molecules.
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Affiliation(s)
- Shufen Wu
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China; Department of Pediatrics, Shanxi Medical University, Taiyuan, China
| | - Lingran Qiao
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China
| | - Haiyan Liu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yan-Li Li
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Rui Wang
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yiru Yin
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China; Translational Medicine Research Center of Shanxi Medical University, Taiyuan, China
| | - Enhui Li
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China
| | - Lele Wang
- Department of Pediatrics, Shanxi Medical University, Taiyuan, China
| | - Xiaoya Guan
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Litian Yin
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China
| | - Qinghua Liu
- Translational Medicine Research Center of Shanxi Medical University, Taiyuan, China
| | - Xiaoyang Peng
- Translational Medicine Research Center of Shanxi Medical University, Taiyuan, China
| | - Yutong Zhang
- Basic Medical School, Shanxi Medical University, Taiyuan, China
| | - Zhuanfang Yang
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China
| | - Lin Zuo
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China.
| | - Ce Zhang
- Key Laboratory of Cellular Physiology, Ministry of Education, Department of Physiology, Shanxi Medical University, Taiyuan, China.
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Fang Q, Lei Y, Wu H, Li C, Jiang J, Wang S, Wu Y, Chen L, Ouyang D, Li X, Li Y. Plasma reference interval of Trimethylamine-N-oxide in healthy adults: A multicenter study using Trimethylamine-N-oxide assay kit for analysis and validation. Clin Chim Acta 2025; 571:120223. [PMID: 40032200 DOI: 10.1016/j.cca.2025.120223] [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: 11/18/2024] [Revised: 02/17/2025] [Accepted: 02/27/2025] [Indexed: 03/05/2025]
Abstract
BACKGROUND Trimethylamine-N-oxide (TMAO) is a potential cardiovascular biomarker in Chinese people without a defined plasma reference range. Its clinical application is restricted due to incomplete knowledge of pre-analytical factors' impact on measurement. METHODS Assess the effects of standard anticoagulants and pre-analytical factors on TMAO test outcomes to determine optimal conditions. Plasma TMAO levels in 649 healthy Chinese individuals were analyzed using a non-parametric approach to set a 95% reference interval. Examine how age, gender, region, and BMI affect TMAO levels and their correlation with clinical metrics like blood pressure, glucose, lipemia, and liver-kidney function. RESULTS Anticoagulants had minimal effect on TMAO assay results. TMAO concentrations remain stable during sample storage at 4 °C for 24 h, 25 °C for 12 h, or 35 °C for six h before centrifugation -prolonged storage at 25 °C or 35 °C results in changes below the acceptable limit. The 95 % reference interval for plasma TMAO is 5.72 µM, with a median of 1.70 µM and an interquartile range of 1.09-2.53 µM. Age, sex, region, and BMI do not affect TMAO levels. SBP, FPG, TC, and BUN positively correlate, while HDL-C, ALT, AST, and TBIL negatively correlate with TMAO. CONCLUSIONS This guides for selecting blood collection tubes for TMAO detection and optimal pre- centrifugation storage conditions. We set a 95% reference interval for plasma TMAO in healthy adults in China and examined the correlation between TMAO levels and demographic and biochemical markers.
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Affiliation(s)
- Qing Fang
- Changsha Duxact Biotech Co., Ltd., Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China
| | - Yuyan Lei
- Department of Pharmacology, Xiangya School of Pharmaceutical Science, Central South University, Changsha, China; The Second Nanning People's Hospital, Nanning, China
| | - Hao Wu
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Chao Li
- Changsha Duxact Biotech Co., Ltd., Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China
| | - Junyi Jiang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University and Institute of Clinical Pharmacology, Changsha, China
| | - Shiyun Wang
- The Affiliated Hospital of Xiangnan University, Chenzhou, Changsha, China
| | - Yu Wu
- The Second Nanning People's Hospital, Nanning, China
| | - Lulu Chen
- Changsha Duxact Biotech Co., Ltd., Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China.
| | - Dongsheng Ouyang
- Changsha Duxact Biotech Co., Ltd., Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China.
| | - Xiaohui Li
- Changsha Duxact Biotech Co., Ltd., Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China; Department of Pharmacology, Xiangya School of Pharmaceutical Science, Central South University, Changsha, China.
| | - Ying Li
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China.
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Esgunoglu L, Liaquat M, Gillings R, Lazar A, Leddy A, Brooks J, Penny W, Sami S, Hornberger M, Stevenson E, Jennings A, Minihane AM. Acute effect of a Mediterranean-style dietary pattern (MDP) on mood, anxiety and cognition in UK adults with mild to moderate anxiety and depression: the MediMood randomised controlled trial protocol. BMJ Open 2024; 14:e082935. [PMID: 39806712 PMCID: PMC11667456 DOI: 10.1136/bmjopen-2023-082935] [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: 12/07/2023] [Accepted: 11/18/2024] [Indexed: 01/16/2025] Open
Abstract
INTRODUCTION Psychological disorders including depression and anxiety are significant public health concerns. A Mediterranean-style dietary pattern (MDP) has been associated with improved mental well-being in observational studies. Evidence of the acute (defined as postprandial to 1 week) effects of an MDP on brain function, mood, cognition and important modulators, including sleep and the gut microbiota is limited. The current intervention aims to examine whether an MDP, compared with a Western diet (WD), improves mood, cognition and anxiety symptoms, postprandially, at 24-hour and after 5 days in adults with mild to moderate anxiety and depression. METHODS AND ANALYSIS Twenty-five UK adults (aged 18 or over) with mild to moderate anxiety and/or depression and low adherence to an MDP were recruited to a cross-over randomised controlled trial. Each participant undergoes a 5 day MDP and a 5 day WD in a randomised order with all meals provided. The co-primary outcomes are mood and anxiety, with secondary outcomes including cognitive function, brain perfusion (as assessed by MRI), sleep quality, blood pressure, plasma glucose, insulin, lipids, C-reactive protein, cortisol, brain-derived neurotrophic factor, gut microbiota speciation and microbial metabolites including short chain fatty acids. A linear mixed model and/or paired analysis will be used to compare the effects of treatments over time. ETHICS AND DISSEMINATION The study has received a favourable ethics opinion from the National Health Service London Queen Square Research Ethics Committee (22/LO/0796). The results will be disseminated through scientific journals and conferences. TRIAL REGISTRATION NUMBER NCT05927376.
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Affiliation(s)
| | - Marrium Liaquat
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Rachel Gillings
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Alpar Lazar
- School of Health Sciences, University of East Anglia, Norwich, UK
| | - Adrian Leddy
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Jon Brooks
- School of Psychology, University of East Anglia, Norwich, UK
| | - William Penny
- School of Psychology, University of East Anglia, Norwich, UK
| | - Saber Sami
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - M Hornberger
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Emma Stevenson
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Amy Jennings
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Anne Marie Minihane
- Norwich Medical School, University of East Anglia, Norwich, UK
- Norwich Institute for Healthy Aging, Norwich, UK
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Sun L, Li Z, Hu C, Ding J, Zhou Q, Pang G, Wu Z, Yang R, Li S, Li J, Cai J, Sun Y, Li R, Zhen H, Sun S, Zhang J, Fang M, Chen Z, Lv Y, Cao Q, Sun Y, Gong R, Huang Z, Duan Y, Liu H, Dong J, Li J, Ruan J, Lu H, He B, Li N, Li T, Xue W, Li Y, Shen J, Yang F, Zhao C, Liang Q, Zhang M, Chen C, Gong H, Hou Y, Wang J, Zhang Y, Yang H, Zhu S, Xiao L, Jin Z, Guo H, Zhao P, Brix S, Xu X, Jia H, Kristiansen K, Yang Z, Nie C. Age-dependent changes in the gut microbiota and serum metabolome correlate with renal function and human aging. Aging Cell 2023; 22:e14028. [PMID: 38015106 PMCID: PMC10726799 DOI: 10.1111/acel.14028] [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: 03/15/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/29/2023] Open
Abstract
Human aging is invariably accompanied by a decline in renal function, a process potentially exacerbated by uremic toxins originating from gut microbes. Based on a registered household Chinese Guangxi longevity cohort (n = 151), we conducted comprehensive profiling of the gut microbiota and serum metabolome of individuals from 22 to 111 years of age and validated the findings in two independent East Asian aging cohorts (Japan aging cohort n = 330, Yunnan aging cohort n = 80), identifying unique age-dependent differences in the microbiota and serum metabolome. We discovered that the influence of the gut microbiota on serum metabolites intensifies with advancing age. Furthermore, mediation analyses unveiled putative causal relationships between the gut microbiota (Escherichia coli, Odoribacter splanchnicus, and Desulfovibrio piger) and serum metabolite markers related to impaired renal function (p-cresol, N-phenylacetylglutamine, 2-oxindole, and 4-aminohippuric acid) and aging. The fecal microbiota transplantation experiment demonstrated that the feces of elderly individuals could influence markers related to impaired renal function in the serum. Our findings reveal novel links between age-dependent alterations in the gut microbiota and serum metabolite markers of impaired renal function, providing novel insights into the effects of microbiota-metabolite interplay on renal function and healthy aging.
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Affiliation(s)
- Liang Sun
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Zhiming Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
- State Key Laboratory of Genetic EngineeringCollaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan UniversityShanghaiChina
| | | | - Jiahong Ding
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Qi Zhou
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Zhu Wu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Ruiyue Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Shenghui Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and HealthChina Agricultural UniversityBeijingChina
| | - Jian Li
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jianping Cai
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yuzhe Sun
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Rui Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Hefu Zhen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Shuqin Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Jianmin Zhang
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Mingyan Fang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Zhihua Chen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yuan Lv
- Jiangbin HospitalNanningChina
| | - Qizhi Cao
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Yanan Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Ranhui Gong
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Zezhi Huang
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Hengshuo Liu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jun Dong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Junchun Li
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Jie Ruan
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Haorong Lu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | | | | | - Tao Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Wenbin Xue
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yan Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Juan Shen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Fan Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Cheng Zhao
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Mingrong Zhang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Chen Chen
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huan Gong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yong Hou
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Jian Wang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Ying Zhang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huanming Yang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Shida Zhu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI ResearchShenzhenChina
| | - Liang Xiao
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI ResearchShenzhenChina
| | - Zhen Jin
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Haiyun Guo
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Peng Zhao
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Susanne Brix
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Xun Xu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Huijue Jia
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Karsten Kristiansen
- BGI ResearchShenzhenChina
- Laboratory of Genomics and Molecular Biomedicine, Department of BiologyUniversity of CopenhagenCopenhagenDenmark
- Qingdao‐Europe Advanced Institute for Life SciencesQingdaoShandongChina
| | - Ze Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Chao Nie
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
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Metabolic landscape in cardiac aging: insights into molecular biology and therapeutic implications. Signal Transduct Target Ther 2023; 8:114. [PMID: 36918543 PMCID: PMC10015017 DOI: 10.1038/s41392-023-01378-8] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/06/2023] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
Cardiac aging is evident by a reduction in function which subsequently contributes to heart failure. The metabolic microenvironment has been identified as a hallmark of malignancy, but recent studies have shed light on its role in cardiovascular diseases (CVDs). Various metabolic pathways in cardiomyocytes and noncardiomyocytes determine cellular senescence in the aging heart. Metabolic alteration is a common process throughout cardiac degeneration. Importantly, the involvement of cellular senescence in cardiac injuries, including heart failure and myocardial ischemia and infarction, has been reported. However, metabolic complexity among human aging hearts hinders the development of strategies that targets metabolic susceptibility. Advances over the past decade have linked cellular senescence and function with their metabolic reprogramming pathway in cardiac aging, including autophagy, oxidative stress, epigenetic modifications, chronic inflammation, and myocyte systolic phenotype regulation. In addition, metabolic status is involved in crucial aspects of myocardial biology, from fibrosis to hypertrophy and chronic inflammation. However, further elucidation of the metabolism involvement in cardiac degeneration is still needed. Thus, deciphering the mechanisms underlying how metabolic reprogramming impacts cardiac aging is thought to contribute to the novel interventions to protect or even restore cardiac function in aging hearts. Here, we summarize emerging concepts about metabolic landscapes of cardiac aging, with specific focuses on why metabolic profile alters during cardiac degeneration and how we could utilize the current knowledge to improve the management of cardiac aging.
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Metabolomics Profiling of Age-Associated Metabolites in Malay Population. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2023; 2023:4416410. [PMID: 36785791 PMCID: PMC9922189 DOI: 10.1155/2023/4416410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 01/08/2023] [Accepted: 01/19/2023] [Indexed: 02/05/2023]
Abstract
Aging is a complex process characterized by progressive loss of functional abilities due to the accumulation of molecular damages. Metabolomics could offer novel insights into the predictors and mechanisms of aging. This cross-sectional study is aimed at identifying age-associated plasma metabolome in a Malay population. A total of 146 (90 females) healthy participants aged 28-69 were selected for the study. Untargeted metabolomics profiling was performed using liquid chromatography-tandem mass spectrometry. Association analysis was based on the general linear model. Gender-associated metabolites were adjusted for age, while age-associated metabolites were adjusted for gender or analyzed in a gender-stratified manner. Gender-associated metabolites such as 4-hydroxyphenyllactic acid, carnitine, cortisol, and testosterone sulfate showed higher levels in males than females. Deoxycholic acid and hippuric acid were among the metabolites with a positive association with age after being adjusted for gender, while 9(E),11(E)-conjugated linoleic acid, cortisol, and nicotinamide were negatively associated with age. In gender-stratified analysis, glutamine was one of the common metabolites that showed a direct association with age in both genders, while metabolites such as 11-deoxy prostaglandin F2β, guanosine monophosphate, and testosterone sulfate were inversely associated with age in males and females. This study reveals several age-associated metabolites in Malays that could reflect the changes in metabolisms during aging and may be used to discern the risk of geriatric syndromes and disorders later. Further studies are required to determine the interplay between these metabolites and environmental factors on the functional outcomes during aging.
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Wu T, Chen Y, Yang M, Wang S, Wang X, Hu M, Cheng X, Wan J, Hu Y, Ding Y, Zhang X, Ding M, He Z, Li H, Zhang XJ. Comparative plasma and urine metabolomics analysis of juvenile and adult canines. Front Vet Sci 2023; 9:1037327. [PMID: 36699333 PMCID: PMC9868312 DOI: 10.3389/fvets.2022.1037327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/15/2022] [Indexed: 01/10/2023] Open
Abstract
Background and aims The metabolomic profile of a biofluid can be affected by age, and thus provides detailed information about the metabolic alterations in biological processes and reflects the in trinsic rule regulating the growth and developmental processes. Methods To systemically investigate the characteristics of multiple metabolic profiles associated with canine growth, we analyzed the metabolomics in the plasma and urine samples from 15 young and 15 adult beagle dogs via UHPLC-Q-TOFMS-based metabolomics. Blood routine and serum biochemical analyses were also performed on fasting blood samples. Results The metabolomics results showed remarkable differences in metabolite fingerprints both in plasma and urine between the young and adult groups. The most obvious age-related metabolite alterations include decreased serumlevels of oxoglutaric acid and essential amino acids and derivatives but increased levels of urine levels of O-acetylserine. These changes primarily involved in amino acid metabolism and bile secretion pathways. We also found that the levels of glutamine were consistently higher in both serum and urine of adults, while N-acetylhistamine and uracil concentrations were much lower in the adult group compared to younger ones. Conclusion Our study provides a whole metabolic profile of serum and urine characteristics of young and adult canines, identifying several metabolites that were significantly associated with age change, which provides theoretical support for the nutrition-related research and age-related homeostasis maintenance in dogs.
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Affiliation(s)
- Taibo Wu
- School of Basic Medical Science, Wuhan University, Wuhan, China,Institute of Model Animal, Wuhan University, Wuhan, China
| | - Yun Chen
- Institute of Model Animal, Wuhan University, Wuhan, China,Clinical Trial Centers, Huanggang Central Hospital, Huanggang, China
| | - Mingzi Yang
- School of Basic Medical Science, Wuhan University, Wuhan, China,Institute of Model Animal, Wuhan University, Wuhan, China
| | - Shuang Wang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaoming Wang
- School of Basic Medical Science, Wuhan University, Wuhan, China,Institute of Model Animal, Wuhan University, Wuhan, China
| | - Manli Hu
- School of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Xu Cheng
- School of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Juan Wan
- School of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Yufeng Hu
- School of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Yi Ding
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xin Zhang
- School of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Mingxing Ding
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Zhengming He
- Institute of Laboratory Animal Resources, National Institutes for Food and Drug Control, Beijing, China
| | - Hongliang Li
- School of Basic Medical Science, Wuhan University, Wuhan, China,Institute of Model Animal, Wuhan University, Wuhan, China,Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China,*Correspondence: Hongliang Li ✉
| | - Xiao-Jing Zhang
- School of Basic Medical Science, Wuhan University, Wuhan, China,Institute of Model Animal, Wuhan University, Wuhan, China,Xiao-Jing Zhang ✉
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Betouke Ongwe ME, Mouwenda YD, Stam KA, Kremsner PG, Lell B, Diemert D, Bethony J, Bottazzi ME, Hotez PJ, Leeuwen RV, Grobusch MP, Adegnika AA, Mayboroda OA, Yazdanbakhsh M. Investigation of urinary metabolomics in a phase I hookworm vaccine trial in Gabon. PLoS One 2022; 17:e0275013. [PMID: 36155987 PMCID: PMC9512193 DOI: 10.1371/journal.pone.0275013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 08/05/2022] [Indexed: 11/18/2022] Open
Abstract
Metabolomics provides a powerful tool to study physiological changes in response to various perturbations such as vaccination. We explored whether metabolomic changes could be seen after vaccination in a phase I trial where Gabonese adults living either in rural or semi-urban areas received the subunit hookworm vaccine candidates (Na-GST-1 and Na-APR-1 (M74) adjuvanted with Alhydrogel plus GLA-AF (n = 24) or the hepatitis B vaccine (n = 8) as control. Urine samples were collected and assayed using targeted 1H NMR spectroscopy. At baseline, a set of metabolites significantly distinguished rural from semi-urban individuals. The pre- and post-vaccination comparisons indicated significant changes in few metabolites but only one day after the first vaccination. There was no relationship with immunogenicity. In conclusion, in a small phase 1 trial, urinary metabolomics could distinguish volunteers with different environmental exposures and reflected the safety of the vaccines but did not show a relationship to immunogenicity.
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Affiliation(s)
- Madeleine Eunice Betouke Ongwe
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- Institut de Recherches en Écologie Tropicale, Centre National de la Recherche Scientifique et Technologique (CENAREST), Lambaréné, Gabon
- * E-mail:
| | - Yoanne D. Mouwenda
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
| | - Koen A. Stam
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter G. Kremsner
- Institut für Tropenmedizin, Eberhad Karls Universität Tübingen, Tübingen, Germany
| | - Bertrand Lell
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - David Diemert
- George Washington University, Washington, DC, United States of America
| | - Jeff Bethony
- George Washington University, Washington, DC, United States of America
| | - Maria E. Bottazzi
- Texas Children’s Hospital Center for Vaccine Development, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, United States of America
| | - Peter J. Hotez
- Texas Children’s Hospital Center for Vaccine Development, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, United States of America
| | - Remko V. Leeuwen
- Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Martin P. Grobusch
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- Institut für Tropenmedizin, Eberhad Karls Universität Tübingen, Tübingen, Germany
- Department of Infectious Diseases, Center of Tropical Medicine and Travel Medicine, Amsterdam University Medical Center, Amsterdam Public Health; Amsterdam Infection & Immunity, University of Amsterdam, Amsterdam, The Netherlands
| | - Ayola A. Adegnika
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- Institut für Tropenmedizin, Eberhad Karls Universität Tübingen, Tübingen, Germany
- German Center for Infection Research (DZIF), Tübingen, Germany
| | - Oleg A. Mayboroda
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Maria Yazdanbakhsh
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
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9
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Douzi W, Bon D, Suikkanen S, Soukkio P, Boildieu N, Nenonen A, Hupli M, Kukkonen-Harjula K, Dugué B. 1H NMR Urinary Metabolomic Analysis in Older Adults after Hip Fracture Surgery May Provide Valuable Information for Patient Profiling-A Preliminary Investigation. Metabolites 2022; 12:metabo12080744. [PMID: 36005617 PMCID: PMC9415398 DOI: 10.3390/metabo12080744] [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: 06/24/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/16/2022] Open
Abstract
In these times of precision and personalized medicine, profiling patients to identify their needs is crucial to providing the best and most cost-effective treatment. In this study, we used urine metabolomics to explore the characterization of older adults with hip fractures and to explore the forecasting of patient outcomes. Overnight urine specimens were collected from 33 patients (mean age 80 ± 8 years) after hip fracture surgery during their stay at a rehabilitation hospital. The specimens were analyzed with 1H NMR spectroscopy. We performed a metabolomics study regarding assessments of frailty status, Functional Independence Measure (FIM), and Short Physical Performance Battery (SPPB). The main metabolic variations concerned 10 identified metabolites: paracetamol derivatives (4 peaks: 2.15 ppm; 2.16 ppm; 7.13 ppm and 7.15 ppm); hippuric acid; acetate; acetone; dimethylamine; glycine; alanine; lactate; valine; TMAO. At baseline, the urinary levels of these metabolites were significantly higher (i) in frail compared with non-frail patients, (ii) in persons with poorer FIM scores, and (iii) in persons with poorer compared SPPB scores. Our findings suggested that patients with increased levels of urine metabolites associated with metabolic, inflammatory, and renal disorders presented clear signs of frailty, impaired functional independence, and poor physical performance. Metabolomics could be a valuable tool to further characterize older adults, especially after major medical events.
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Affiliation(s)
- Wafa Douzi
- Laboratoire «Mobilité, Vieillissement, Exercice (MOVE)—UR 20296», Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France
| | - Delphine Bon
- INSERM U1313, (IRMETIST), Poitiers, France and Faculty of Medicine and Pharmacy, University of Poitiers, 86000 Poitiers, France
| | - Sara Suikkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland
- Faculty of Social Services and Health Care, LAB University of Applied Sciences, 53130 Lappeenranta, Finland
| | - Paula Soukkio
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Nadège Boildieu
- INSERM U1313, (IRMETIST), Poitiers, France and Faculty of Medicine and Pharmacy, University of Poitiers, 86000 Poitiers, France
| | - Arja Nenonen
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Markku Hupli
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Katriina Kukkonen-Harjula
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Benoit Dugué
- Laboratoire «Mobilité, Vieillissement, Exercice (MOVE)—UR 20296», Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France
- Correspondence: ; Tel.: +33-549-454-040; Fax: +33-549-453-396
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10
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Mo J, Lu Y, Xing T, Xu D, Zhang K, Zhang S, Wang Y, Yan G, Lan G, Liang J. Blood metabolic and physiological profiles of Bama miniature pigs at different growth stages. Porcine Health Manag 2022; 8:35. [PMID: 35941611 PMCID: PMC9358802 DOI: 10.1186/s40813-022-00278-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/30/2022] [Indexed: 11/15/2022] Open
Abstract
Background Bama miniature pigs aged between six (6 M) and twelve months (12 M) are usually used in human medical research as laboratory pigs. However, the difference in serum metabolic profiles from 6 to 12 M-old pigs remains unclear. This study aimed to identify the metabolic and physiological profiles present in the blood to further explain changes in Bama miniature pig growth. We collected blood samples from 6 M-, eight-month- (8 M-), ten-month- (10 M-), and 12 M-old healthy Guangxi Bama miniature pigs. A total of 20 blood physiological indices (BPIs) were measured: seven for white blood cells, eight for red blood cells, and five for platelet indices. Liquid chromatography and mass spectrometry-based non-targeted metabolomic approaches were used to analyze the difference in metabolites. The associations between the differences were calculated using Spearman correlations with Benjamini–Hochberg adjustment. The 100 most abundant differential metabolites were selected for analysis of their metabolic profiles. Results There were no significant differences in BPIs at different ages, but the mid cell ratio and red blood cell number increased with age. Seven BPIs in Bama miniature pigs were closer to human BPIs than to mouse BPIs. A total of 14 and 25 significant differential metabolites were identified in 6 M vs. 12 M and 8 M vs. 12 M, respectively. In total, 9 and 18 amino acids and their derivatives showed significantly lower concentrations in 6 M- and 8 M-old pigs than in 12 M-old pigs. They were identified as the core significantly different metabolites between the age groups 6 M vs. 12 M and 8 M vs. 12 M. Half of the enriched pathways were the amino acids metabolism pathways. The concentration of six amino acids (dl-tryptophan, phenylacetylglycine, muramic acid, N-acetylornithine, l(−)-pipecolinic acid, and creatine) and their derivatives increased with age. A total of 61 of the top 100 most abundant metabolites were annotated. The metabolic profiles contained 14 amino acids and derivatives, six bile acids and derivatives, 19 fatty acids and derivatives, and 22 others. The concentrations of fatty acids and derivatives were found to be inversely proportional to those of amino acids and derivatives. Conclusion These findings suggest high levels of MID cell ratio, red blood count, and amino acids in 12 M-old pigs as indicators for improved body function over time in Bama miniature pigs, similar to those in human development. This makes the pig a more suitable medical model organism than the mouse. The results of this study are limited to the characteristics of blood metabolism in the inbred Bama miniature pigs, and the effects of impacting factors such as breed, age, sex, health status and nutritional level should be considered when studying other pig populations. Supplementary Information The online version contains supplementary material available at 10.1186/s40813-022-00278-7.
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Affiliation(s)
- Jiayuan Mo
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Yujie Lu
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Tianqi Xing
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Di Xu
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Kun Zhang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Shuai Zhang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Yubin Wang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Gang Yan
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Ganqiu Lan
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China
| | - Jing Liang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, People's Republic of China.
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11
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Biochemical Discrimination of the Down Syndrome-Related Metabolic and Oxidative/Nitrosative Stress Alterations from the Physiologic Age-Related Changes through the Targeted Metabolomic Analysis of Serum. Antioxidants (Basel) 2022; 11:antiox11061208. [PMID: 35740106 PMCID: PMC9219806 DOI: 10.3390/antiox11061208] [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: 05/16/2022] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 12/02/2022] Open
Abstract
Down Syndrome (DS) is a neurodevelopmental disorder that is characterized by an accelerated aging process, frequently associated with the development of Alzheimer’s disease (AD). Previous studies evidenced that DS patients have various metabolic anomalies, easily measurable in their serum samples, although values that were found in DS patients were compared with those of age-matched non-DS patients, thus hampering to discriminate the physiologic age-related changes of serum metabolites from those that are truly caused by the pathologic processes associated with DS. In the present study we performed a targeted metabolomic evaluation of serum samples from DS patients without dementia of two age classes (Younger DS Patients, YDSP, aging 20–40 years; Aged DS Patients, ADSP, aging 41–60 years), comparing the results with those that were obtained in two age classes of non-DS patients (Younger non-DS Patients, YnonDSP, aging 30–60 years; Aged-nonDS Patients, AnonDSP, aging 75–90 years). Of the 36 compounds assayed, 30 had significantly different concentrations in Pooled non-DS Patients (PnonDSP), compared to Pooled DS Patients (PDSP). Age categorization revealed that 11/30 compounds were significantly different in AnonDSP, compared to YnonDSP, indicating physiologic, age-related changes of their circulating concentrations. A comparison between YDSP and ADSP showed that 19/30 metabolites had significantly different values from those found in the corresponding classes of non-DS patients, strongly suggesting pathologic, DS-associated alterations of their serum levels. Twelve compounds selectively and specifically discriminated PnonDSP from PDSP, whilst only three discriminated YDSP from ADSP. The results allowed to determine, for the first time and to the best of our knowledge, the true, age-independent alterations of metabolism that are measurable in serum and attributable only to DS. These findings may be of high relevance for better strategies (pharmacological, nutritional) aiming to specifically target the dysmetabolism and decreased antioxidant defenses that are associated with DS.
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12
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Kassab A, Rizk N, Prakash S. The Role of Systemic Filtrating Organs in Aging and Their Potential in Rejuvenation Strategies. Int J Mol Sci 2022; 23:ijms23084338. [PMID: 35457154 PMCID: PMC9025381 DOI: 10.3390/ijms23084338] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 11/26/2022] Open
Abstract
Advances in aging studies brought about by heterochronic parabiosis suggest that aging might be a reversable process that is affected by changes in the systemic milieu of organs and cells. Given the broadness of such a systemic approach, research to date has mainly questioned the involvement of “shared organs” versus “circulating factors”. However, in the absence of a clear understanding of the chronological development of aging and a unified platform to evaluate the successes claimed by specific rejuvenation methods, current literature on this topic remains scattered. Herein, aging is assessed from an engineering standpoint to isolate possible aging potentiators via a juxtaposition between biological and mechanical systems. Such a simplification provides a general framework for future research in the field and examines the involvement of various factors in aging. Based on this simplified overview, the kidney as a filtration organ is clearly implicated, for the first time, with the aging phenomenon, necessitating a re-evaluation of current rejuvenation studies to untangle the extent of its involvement and its possible role as a potentiator in aging. Based on these findings, the review concludes with potential translatable and long-term therapeutics for aging while offering a critical view of rejuvenation methods proposed to date.
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Affiliation(s)
- Amal Kassab
- Biomedical Technology and Cell Therapy Research Laboratory, Department of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, QC H3A 2BA, Canada
| | - Nasser Rizk
- Department of Biomedical Sciences, College of Health Sciences-QU-Health, Qatar University, Doha 2713, Qatar
| | - Satya Prakash
- Biomedical Technology and Cell Therapy Research Laboratory, Department of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, QC H3A 2BA, Canada
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13
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Tewari SG, Kwan B, Elahi R, Rajaram K, Reifman J, Prigge ST, Vaidya AB, Wallqvist A. Metabolic adjustments of blood-stage Plasmodium falciparum in response to sublethal pyrazoleamide exposure. Sci Rep 2022; 12:1167. [PMID: 35064153 PMCID: PMC8782945 DOI: 10.1038/s41598-022-04985-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 01/04/2022] [Indexed: 11/08/2022] Open
Abstract
Due to the recurring loss of antimalarial drugs to resistance, there is a need for novel targets, drugs, and combination therapies to ensure the availability of current and future countermeasures. Pyrazoleamides belong to a novel class of antimalarial drugs that disrupt sodium ion homeostasis, although the exact consequences of this disruption in Plasmodium falciparum remain under investigation. In vitro experiments demonstrated that parasites carrying mutations in the metabolic enzyme PfATP4 develop resistance to pyrazoleamide compounds. However, the underlying mechanisms that allow mutant parasites to evade pyrazoleamide treatment are unclear. Here, we first performed experiments to identify the sublethal dose of a pyrazoleamide compound (PA21A092) that caused a significant reduction in growth over one intraerythrocytic developmental cycle (IDC). At this drug concentration, we collected transcriptomic and metabolomic data at multiple time points during the IDC to quantify gene- and metabolite-level alterations in the treated parasites. To probe the effects of pyrazoleamide treatment on parasite metabolism, we coupled the time-resolved omics data with a metabolic network model of P. falciparum. We found that the drug-treated parasites adjusted carbohydrate metabolism to enhance synthesis of myoinositol-a precursor for phosphatidylinositol biosynthesis. This metabolic adaptation caused a decrease in metabolite flux through the pentose phosphate pathway, causing a decreased rate of RNA synthesis and an increase in oxidative stress. Our model analyses suggest that downstream consequences of enhanced myoinositol synthesis may underlie adjustments that could lead to resistance emergence in P. falciparum exposed to a sublethal dose of a pyrazoleamide drug.
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Affiliation(s)
- Shivendra G Tewari
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA.
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
| | - Bobby Kwan
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Rubayet Elahi
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Krithika Rajaram
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Jaques Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA
| | - Sean T Prigge
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Akhil B Vaidya
- Department of Microbiology and Immunology, Center for Molecular Parasitology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Anders Wallqvist
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA.
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14
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Chen L, Zheng T, Yang Y, Chaudhary PP, Teh JPY, Cheon BK, Moses D, Schuster SC, Schlundt J, Li J, Conway PL. Integrative multiomics analysis reveals host-microbe-metabolite interplays associated with the aging process in Singaporeans. Gut Microbes 2022; 14:2070392. [PMID: 35549618 PMCID: PMC9116421 DOI: 10.1080/19490976.2022.2070392] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/18/2022] [Indexed: 02/04/2023] Open
Abstract
The age-associated alterations in microbiomes vary across populations due to the influence of genetics and lifestyles. To the best of our knowledge, the microbial changes associated with aging have not yet been investigated in Singapore adults. We conducted shotgun metagenomic sequencing of fecal and saliva samples, as well as fecal metabolomics to characterize the gut and oral microbial communities of 62 healthy adult male Singaporeans, including 32 young subjects (age, 23.1 ± 1.4 years) and 30 elderly subjects (age, 69.0 ± 3.5 years). We identified 8 gut and 13 oral species that were differentially abundant in elderly compared to young subjects. By combining the gut and oral microbiomes, 25 age-associated oral-gut species connections were identified. Moreover, oral bacteria Acidaminococcus intestine and Flavonifractor plautii were less prevalent/abundant in elderly gut samples than in young gut samples, whereas Collinsella aerofaciens and Roseburia hominis showed the opposite trends. These results indicate the varied gut-oral communications with aging. Subsequently, we expanded the association studies on microbiome, metabolome and host phenotypic parameters. In particular, Eubacterium eligens increased in elderly compared to young subjects, and was positively correlated with triglycerides, which implies that the potential role of E. eligens in lipid metabolism is altered during the aging process. Our results demonstrated aging-associated changes in the gut and oral microbiomes, as well as the connections between metabolites and host-microbe interactions, thereby deepening the understanding of alterations in the human microbiome during the aging process in a Singapore population.
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Affiliation(s)
- Liwei Chen
- School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore
- Nanyang Technological University Food Technology Centre (NAFTEC), College of Engineering, Nanyang Technological University, Singapore
| | - Tingting Zheng
- Department of Infectious Diseases and Public Health, The Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
| | - Yifan Yang
- Office of Education Research, and Physical Education and Sports Science, National Institute of Education, Nanyang Technological University, Singapore
| | - Prem Prashant Chaudhary
- School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore
- Nanyang Technological University Food Technology Centre (NAFTEC), College of Engineering, Nanyang Technological University, Singapore
- Epithelial Therapeutics Unit, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland, USA
| | - Jean Pui Yi Teh
- School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore
- Nanyang Technological University Food Technology Centre (NAFTEC), College of Engineering, Nanyang Technological University, Singapore
| | - Bobby K. Cheon
- School of Social Sciences, Nanyang Technological University, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore
- Eunice Kenndy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Daniela Moses
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Stephan C. Schuster
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Joergen Schlundt
- School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore
- Nanyang Technological University Food Technology Centre (NAFTEC), College of Engineering, Nanyang Technological University, Singapore
| | - Jun Li
- Department of Infectious Diseases and Public Health, The Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
- School of Data Science, City University of Hong Kong, Hong Kong, China
| | - Patricia L. Conway
- School of Chemical and Biomedical Engineering, College of Engineering, Nanyang Technological University, Singapore
- Nanyang Technological University Food Technology Centre (NAFTEC), College of Engineering, Nanyang Technological University, Singapore
- Centre for Marine Science and Innovation, School of Biological, Earth and Environmental Sciences,The University of New South Wales, Sydney, NSW, Australia
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15
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Piedepalumbo M, Koch WJ, de Lucia C. Metabolomics, heart disease and aging. Aging (Albany NY) 2021; 13:6231-6232. [PMID: 33713399 PMCID: PMC7993668 DOI: 10.18632/aging.202804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 03/09/2021] [Indexed: 11/25/2022]
Affiliation(s)
| | - Walter J. Koch
- Center for Translational Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Claudio de Lucia
- Center for Translational Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
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16
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Whole Blood Metabolomics in Aging Research. Int J Mol Sci 2020; 22:ijms22010175. [PMID: 33375345 PMCID: PMC7796096 DOI: 10.3390/ijms22010175] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 12/25/2020] [Accepted: 12/25/2020] [Indexed: 02/08/2023] Open
Abstract
Diversity is observed in the wave of global aging because it is a complex biological process exhibiting individual variability. To assess aging physiologically, markers for biological aging are required in addition to the calendar age. From a metabolic perspective, the aging hypothesis includes the mitochondrial hypothesis and the calorie restriction (CR) hypothesis. In experimental models, several compounds or metabolites exert similar lifespan-extending effects, like CR. However, little is known about whether these metabolic modulations are applicable to human longevity, as human aging is greatly affected by a variety of factors, including lifestyle, genetic or epigenetic factors, exposure to stress, diet, and social environment. A comprehensive analysis of the human blood metabolome captures complex changes with individual differences. Moreover, a non-targeted analysis of the whole blood metabolome discloses unexpected aspects of human biology. By using such approaches, markers for aging or aging-relevant conditions were identified. This information should prove valuable for future diagnosis or clinical interventions in diseases relevant to aging.
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