1
|
Hou Q, Li G, Pan X, Zhong X, Geng X, Yang X, Yang X, Zhang B. Long-term supplementation of genistein improves immune homeostasis in the aged gut and extends the laying cycle of aged laying hens. Poult Sci 2024; 103:103670. [PMID: 38598909 PMCID: PMC11017059 DOI: 10.1016/j.psj.2024.103670] [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: 01/12/2024] [Revised: 03/06/2024] [Accepted: 03/14/2024] [Indexed: 04/12/2024] Open
Abstract
Aging is associated with alterations in gut function, including intestinal inflammation, leaky gut, and impaired epithelial regeneration. Rejuvenating the aged gut is imperative to extend the laying cycle of aged laying hens. Genistein is known to have beneficial effects on age-related diseases, but its precise role in homeostasis of the aged gut of laying hens remains to be elucidated. In this study, 160 45-wk-old Hyline Brown laying hens were continuously fed a basal diet or a diet supplemented with 40 mg/kg genistein until they reached 100 wk of age. The results revealed that long-term genistein supplementation led to an improvement in the egg production rate and feed conversion ratio, as well as an increase in egg quality. Moreover, the expression levels of senescence markers, such as β-galactosidase, P16, and P21, were decreased in the gut of genistein-treated aged laying hens. Furthermore, genistein ameliorated gut dysfunctions, such as intestinal inflammation, leaky gut, and impaired epithelial regeneration. Treg cell-derived IL-10 plays a crucial role in the genistein-induced regulation of age-related intestinal inflammation. This study demonstrates that long-term consumption of genistein improves homeostasis in the aged gut and extends the laying cycle of aged laying hens. Moreover, the link between genistein and Treg cells provides a rationale for dietary intervention against age-associated gut dysfunction.
Collapse
Affiliation(s)
- Qihang Hou
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Guang Li
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Xianjie Pan
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Xiang Zhong
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiangfei Geng
- Beijing Lab Anim Sci Tech Develp Co., LTD, Beijing 100193, China
| | - Xin Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaojun Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Bingkun Zhang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China.
| |
Collapse
|
2
|
Huang J, Ye E, Li X, Niu D, Wang J, Zhao Y, Hu Y, Yue S, Hou X, Huang Z, Wu J. Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study. Eur J Nutr 2024:10.1007/s00394-024-03418-7. [PMID: 38693451 DOI: 10.1007/s00394-024-03418-7] [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: 10/20/2023] [Accepted: 04/17/2024] [Indexed: 05/03/2024]
Abstract
PURPOSE To explore the joint association of dietary patterns and adiposity with colorectal cancer (CRC), and whether adiposity mediates the relationship between dietary patterns and CRC risk, which could provide deeper insights into the underlying pathogenesis of CRC. METHODS The data of 307,023 participants recruited between 2006 and 2010 were extracted from the UK Biobank study. Healthy diet scores were calculated based on self-reported dietary data at baseline, and participants were categorized into three groups, namely, low, intermediate, and high diet score groups. Cox regression models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the effects of the healthy diet score on CRC incidence, adjusting for various covariates. Furthermore, the mediation roles of obesity and central obesity between the healthy diet score and CRC risk were assessed using a counterfactual causal analysis based on Cox regression model. Additionally, joint association between dietary patterns and adiposity on CRC risks was assessed on the additive and multiplicative scales. RESULTS Over a median 6.2-year follow-up, 3,276 participants developed CRC. After adjusting for sociodemographic and lifestyle factors, a lower risk of CRC incidence was found for participants with intermediate (HR = 0.83, 95% CI: 0.72 to 0.95) and high diet scores (HR = 0.73, 95% CI: 0.62 to 0.87) compared to those with low diet scores. When compared with the low diet score group, obesity accounted for 4.13% and 7.93% of the total CRC effect in the intermediate and high diet score groups, respectively, while central obesity contributed to 3.68% and 10.02% of the total CRC risk in the intermediate and high diet score groups, respectively. The mediating effect of adiposity on CRC risk was significant in men but not in women. Concurrent unhealthy diet and adiposity multiplied CRC risk. CONCLUSION Adiposity-mediated effects were limited in the link between dietary patterns and CRC incidence, implying that solely addressing adiposity may not sufficiently reduce CRC risk. Interventions, such as improving dietary quality in people with adiposity or promoting weight control in those with unhealthy eating habits, may provide an effective strategy to reduce CRC risk.
Collapse
Affiliation(s)
- Jiasheng Huang
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
- Collaborative Innovation Engineering Technology Research Center of Clinical Medical Big Data Cloud Service in Medical Consortium of West Guangdong Province, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Enlin Ye
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
- Collaborative Innovation Engineering Technology Research Center of Clinical Medical Big Data Cloud Service in Medical Consortium of West Guangdong Province, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Xiaolin Li
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Dongdong Niu
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Jia Wang
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Yumei Zhao
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Yiling Hu
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Suru Yue
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
- Collaborative Innovation Engineering Technology Research Center of Clinical Medical Big Data Cloud Service in Medical Consortium of West Guangdong Province, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Xuefei Hou
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
- Collaborative Innovation Engineering Technology Research Center of Clinical Medical Big Data Cloud Service in Medical Consortium of West Guangdong Province, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China
| | - Zhe Huang
- Department of Gastrointestinal Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
| | - Jiayuan Wu
- Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
- Collaborative Innovation Engineering Technology Research Center of Clinical Medical Big Data Cloud Service in Medical Consortium of West Guangdong Province, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
| |
Collapse
|
3
|
van Zanten GC, Madsen AL, Yde CC, Krych L, Yeung N, Saarinen MT, Kot W, Jensen HM, Rasmussen MA, Ouwehand AC, Nielsen DS. Randomised, Placebo-Controlled Investigation of the Impact of Probiotic Consumption on Gut Microbiota Diversity and the Faecal Metabolome in Seniors. Microorganisms 2024; 12:796. [PMID: 38674741 PMCID: PMC11052279 DOI: 10.3390/microorganisms12040796] [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: 03/20/2024] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Aging has been associated with a changed composition and function of the gut microbiota (GM). Here, we investigate the effects of the multi-strain probiotic HOWARU® Restore on GM composition and function in seniors. Ninety-eight healthy adult volunteers aged ≥75 years were enrolled in a randomised, double-blinded intervention (NCT02207140), where they received HOWARU Restore (1010 CFU) or the placebo daily for 24 weeks, with 45 volunteers from each group completing the intervention. Questionnaires monitoring the effects on gastro-intestinal discomfort and bowel movements were collected. Faecal samples for GM characterisation (qPCR, 16S rRNA gene amplicon sequencing) and metabolomics (GC-FID, 1H NMR) were collected at the baseline and after 24 weeks. In the probiotic group, self-reported gastro-intestinal discomfort in the form of flatulence was significantly decreased during the intervention. At the baseline, 151 'core species' (present in ≥95% of samples) were identified. Most core species belonged to the Lachnospiraceae and Ruminococcaceae families. Neither alpha diversity nor beta diversity or faecal metabolites was affected by probiotic intake. On the contrary, we observed high intra-individual GM stability, with 'individual' accounting for 72-75% of variation. In conclusion, 24 weeks of HOWARU Restore intake reduced gastro-intestinal discomfort in the form of flatulence in healthy seniors without significantly influencing GM composition or activity.
Collapse
Affiliation(s)
- Gabriella C. van Zanten
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg, Denmark; (G.C.v.Z.); (A.L.M.); (L.K.); (M.A.R.); (D.S.N.)
| | - Anne Lundager Madsen
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg, Denmark; (G.C.v.Z.); (A.L.M.); (L.K.); (M.A.R.); (D.S.N.)
| | - Christian C. Yde
- IFF Enabling Technologies, Brabrand, 8220 Aarhus, Denmark; (C.C.Y.); (H.M.J.)
| | - Lukasz Krych
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg, Denmark; (G.C.v.Z.); (A.L.M.); (L.K.); (M.A.R.); (D.S.N.)
| | - Nicolas Yeung
- IFF Health, 02460 Kantvik, Finland; (N.Y.); (M.T.S.)
| | | | - Witold Kot
- Department of Plant and Environmental Sciences, University of Copenhagen, 1871 Frederiksberg, Denmark;
| | - Henrik Max Jensen
- IFF Enabling Technologies, Brabrand, 8220 Aarhus, Denmark; (C.C.Y.); (H.M.J.)
| | - Morten A. Rasmussen
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg, Denmark; (G.C.v.Z.); (A.L.M.); (L.K.); (M.A.R.); (D.S.N.)
- Copenhagen Studies on Asthma in Childhood, University of Copenhagen, 2820 Gentofte, Denmark
| | | | - Dennis S. Nielsen
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg, Denmark; (G.C.v.Z.); (A.L.M.); (L.K.); (M.A.R.); (D.S.N.)
| |
Collapse
|
4
|
Longtine AG, Greenberg NT, Bernaldo de Quirós Y, Brunt VE. The gut microbiome as a modulator of arterial function and age-related arterial dysfunction. Am J Physiol Heart Circ Physiol 2024; 326:H986-H1005. [PMID: 38363212 DOI: 10.1152/ajpheart.00764.2023] [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: 12/08/2023] [Revised: 01/26/2024] [Accepted: 02/13/2024] [Indexed: 02/17/2024]
Abstract
The arterial system is integral to the proper function of all other organs and tissues. Arterial function is impaired with aging, and arterial dysfunction contributes to the development of numerous age-related diseases, including cardiovascular diseases. The gut microbiome has emerged as an important regulator of both normal host physiological function and impairments in function with aging. The purpose of this review is to summarize more recently published literature demonstrating the role of the gut microbiome in supporting normal arterial development and function and in modulating arterial dysfunction with aging in the absence of overt disease. The gut microbiome can be altered due to a variety of exposures, including physiological aging processes. We explore mechanisms by which the gut microbiome may contribute to age-related arterial dysfunction, with a focus on changes in various gut microbiome-related compounds in circulation. In addition, we discuss how modulating circulating levels of these compounds may be a viable therapeutic approach for improving artery function with aging. Finally, we identify and discuss various experimental considerations and research gaps/areas of future research.
Collapse
Affiliation(s)
- Abigail G Longtine
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Nathan T Greenberg
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Yara Bernaldo de Quirós
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
- Instituto Universitario de Sanidad Animal y Seguridad Alimentaria, Universidad de las Palmas de Gran Canaria, Las Palmas, Spain
| | - Vienna E Brunt
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
- Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| |
Collapse
|
5
|
Xiao Y, Feng Y, Zhao J, Chen W, Lu W. Achieving healthy aging through gut microbiota-directed dietary intervention: Focusing on microbial biomarkers and host mechanisms. J Adv Res 2024:S2090-1232(24)00092-4. [PMID: 38462039 DOI: 10.1016/j.jare.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/23/2024] [Accepted: 03/07/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Population aging has become a primary global public health issue, and the prevention of age-associated diseases and prolonging healthy life expectancies are of particular importance. Gut microbiota has emerged as a novel target in various host physiological disorders including aging. Comprehensive understanding on changes of gut microbiota during aging, in particular gut microbiota characteristics of centenarians, can provide us possibility to achieving healthy aging or intervene pathological aging through gut microbiota-directed strategies. AIM OF REVIEW This review aims to summarize the characteristics of the gut microbiota associated with aging, explore potential biomarkers of aging and address microbiota-associated mechanisms of host aging focusing on intestinal barrier and immune status. By summarizing the existing effective dietary strategies in aging interventions, the probability of developing a diet targeting the gut microbiota in future is provided. KEY SCIENTIFIC CONCEPTS OF REVIEW This review is focused on three key notions: Firstly, gut microbiota has become a new target for regulating health status and lifespan, and its changes are closely related to age. Thus, we summarized aging-associated gut microbiota features at the levels of key genus/species and important metabolites through comparing the microbiota differences among centenarians, elderly people and younger people. Secondly, exploring microbiota biomarkers related to aging and discussing future possibility using dietary regime/components targeted to aging-related microbiota biomarkers promote human healthy lifespan. Thirdly, dietary intervention can effectively improve the imbalance of gut microbiota related to aging, such as probiotics, prebiotics, and postbiotics, but their effects vary among.
Collapse
Affiliation(s)
- Yue Xiao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, PR China.
| | - Yingxuan Feng
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, PR China
| | - Wei Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, PR China
| | - Wenwei Lu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, PR China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, PR China.
| |
Collapse
|
6
|
Wang L, Wang L, Cao C, Zhao J, Song C, Bao Z, Yan C, Song S. Chitosan and its oligosaccharide accelerate colonic motility and reverse serum metabolites in rats after excessive protein consumption. Int J Biol Macromol 2023; 253:127072. [PMID: 37774814 DOI: 10.1016/j.ijbiomac.2023.127072] [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: 05/12/2023] [Revised: 09/20/2023] [Accepted: 09/23/2023] [Indexed: 10/01/2023]
Abstract
Excessive protein consumption (EPC) could increase the gastrointestinal burden and impair gut motility. The present study was designed to explore the improvement of chitosan (CTS) and chitosan oligosaccharide (COS) on colonic motility and serum metabolites in rats after EPC. The results of in vivo experiments fully proved that CTS and COS could improve gut motility and reverse the serum metabolites in rats as indicated by LC-MS/MS analysis, and the COS group even showed a better effect than the CTS group. Furthermore, short-chain fatty acids (SCFAs), which could promote gut motility, were also increased to alleviate EPC-induced constipation after supplementation with CTS or COS. In addition, CTS and COS could decrease the concentration of ammonia in serum and down-regulate the levels of H2S and indole. In summary, the present study revealed that CTS and COS could produce SCFAs, improve the colonic motility in rats, reverse the levels of valine, adenosine, cysteine, 1-methyladenosine, indole, and uracil, and enhance aminoacyl-tRNA biosynthesis and valine, leucine and isoleucine degradation. The present study provides novel insights into the potential roles of CTS and COS in alleviating the adverse effects of EPC.
Collapse
Affiliation(s)
- Linlin Wang
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Lilong Wang
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Cui Cao
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, PR China
| | - Jun Zhao
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Chen Song
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Zhijie Bao
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Chunhong Yan
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China
| | - Shuang Song
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China.
| |
Collapse
|
7
|
Zuo Z, Pei L, Liu T, Liu X, Chen Y, Hu Z. Investigation of Gut Microbiota Disorders in Sepsis and Sepsis Complicated with Acute Gastrointestinal Injury Based on 16S rRNA Genes Illumina Sequencing. Infect Drug Resist 2023; 16:7389-7403. [PMID: 38053580 PMCID: PMC10695144 DOI: 10.2147/idr.s440335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023] Open
Abstract
Background Sepsis is a life-threatening organ dysfunction caused by the host's dysfunctional response to infection, which can cause acute gastrointestinal injury (AGI). The gut microbiota is dynamic and plays a role in the immune and metabolic. The aim of this study was to investigate the composition and function of gut microbiota in patients with sepsis, as well as the gut microbiome that may be involved in the occurrence of AGI. Methods A total of 23 stool samples from healthy control individuals and 41 stool samples from sepsis patients were collected. Patients with sepsis were followed up for one week to observe whether AGI has occurred. Finally, 41 patients included 21 sepsis complicated with AGI (referred to as Com-AGI) and 20 sepsis without complicated with AGI (referred to as No-AGI). The gut microbiota was analyzed by 16S rRNA gene sequencing, followed by composition analysis, difference analysis, correlation analysis, functional prediction analysis. Results The diversity and evenness of gut microbiota were decreased in patients with sepsis. Compared with No-AGI, the gut microbiota of Com-AGI has higher community diversity, richness, and phylogenetic diversity. Escherichia-Shigella, Blautia and Enterococcus may be important indicators of sepsis. The correlation analysis showed that aspartate aminotransferase (AST) and Barnesiella have the most significant positive correlation. Moreover, Clostridium_innocuum_group, Christensenellaceae_R-7_group and Eubacterium were all significantly correlated with LAC and DAO. Clostridium_innocuum_group, Barnesiella, Christensenellaceae_R-7_group and Eubacterium may play important roles in the occurrence of AGI in sepsis. PICRUSt analysis revealed multiple functional pathways involved in the relationship between gut microbiota and sepsis, including starch degradation V, glycogen degradation I (bacterial), Lipoic acid metabolism and Valine, leucine and isoleucine biosynthesis. BugBase analysis showed that the gut microbiota with Aerobic phenotype may play an important role in sepsis. Conclusion Dysfunction of gut microbiota was associated with sepsis and AGI in patients with sepsis.
Collapse
Affiliation(s)
- Zhigang Zuo
- Department of Critical Care Medicine, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, People’s Republic of China
- Department of Critical Care Medicine, the First Hospital of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
- Hebei Key Laboratory of Critical Disease Mechanism and Intervention, Shijiazhuang, Hebei, 050011, People’s Republic of China
| | - Liu Pei
- Department of Laboratory, the First Hospital of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
| | - Tianzhi Liu
- Department of Critical Care Medicine, the First Hospital of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
| | - Xiujuan Liu
- Department of Critical Care Medicine, the First Hospital of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
| | - Yuhong Chen
- Department of Critical Care Medicine, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, People’s Republic of China
- Hebei Key Laboratory of Critical Disease Mechanism and Intervention, Shijiazhuang, Hebei, 050011, People’s Republic of China
| | - Zhenjie Hu
- Department of Critical Care Medicine, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, People’s Republic of China
- Hebei Key Laboratory of Critical Disease Mechanism and Intervention, Shijiazhuang, Hebei, 050011, People’s Republic of China
| |
Collapse
|
8
|
Guo B, Zhang J, Zhang W, Chen F, Liu B. Gut microbiota-derived short chain fatty acids act as mediators of the gut-brain axis targeting age-related neurodegenerative disorders: a narrative review. Crit Rev Food Sci Nutr 2023:1-22. [PMID: 37897083 DOI: 10.1080/10408398.2023.2272769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
Neurodegenerative diseases associated with aging are often accompanied by cognitive decline and gut microbiota disorder. But the impact of gut microbiota on these cognitive disturbances remains incompletely understood. Short chain fatty acids (SCFAs) are major metabolites produced by gut microbiota during the digestion of dietary fiber, serving as an energy source for gut epithelial cells and/or circulating to other organs, such as the liver and brain, through the bloodstream. SCFAs have been shown to cross the blood-brain barrier and played crucial roles in brain metabolism, with potential implications in mediating Alzheimer's disease (AD) and Parkinson's disease (PD). However, the underlying mechanisms that SCFAs might influence psychological functioning, including affective and cognitive processes and their neural basis, have not been fully elucidated. Furthermore, the dietary sources which determine these SCFAs production was not thoroughly evaluated yet. This comprehensive review explores the production of SCFAs by gut microbiota, their transportation through the gut-brain axis, and the potential mechanisms by which they influence age-related neurodegenerative disorders. Also, the review discusses the importance of dietary fiber sources and the challenges associated with harnessing dietary-derived SCFAs as promoters of neurological health in elderly individuals. Overall, this study suggests that gut microbiota-derived SCFAs and/or dietary fibers hold promise as potential targets and strategies for addressing age-related neurodegenerative disorders.
Collapse
Affiliation(s)
- Bingbing Guo
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Jingyi Zhang
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Weihao Zhang
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Feng Chen
- Shenzhen Key Laboratory of Food Nutrition and Health, Institute for Innovative Development of Food Industry, Department of Food Science and Engineering, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Shenzhen University, Shenzhen, China
| | - Bin Liu
- Shenzhen Key Laboratory of Food Nutrition and Health, Institute for Innovative Development of Food Industry, Department of Food Science and Engineering, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Shenzhen University, Shenzhen, China
| |
Collapse
|
9
|
Yu X, Wei M, Yang D, Wu X, Wei H, Xu F. Lactiplantibacillus plantarum Strain FLPL05 Promotes Longevity in Mice by Improving Intestinal Barrier. Probiotics Antimicrob Proteins 2023; 15:1193-1205. [PMID: 35918623 DOI: 10.1007/s12602-022-09933-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2022] [Indexed: 10/16/2022]
Abstract
This study aimed to evaluate the effect of oral administration of probiotic Lactiplantibacillus plantarum FLPL05 on the lifespan and intestinal barrier of aged mice. L. plantarum FLPL05 significantly prolonged the lifespan of naturally aged mice, maintained the integrity of intestinal mucosal barrier, and reduced the inflammation level. The analysis of intestinal microbiota revealed that L. plantarum FLPL05 increased the relative abundance of Firmicutes and decreased the abundance of Bacteroides, accompanied by the increased proportions of Lactobacillus and Desulfovibrio in intestinal microbiota as well as the reduced proportions of Roseburia and Parabacteroides. The intestinal proteomics revealed that the oral administration of L. plantarum FLPL05 significantly upregulated the tight junction and simultaneously inhibited the expression of apoptotic-related proteins. The immunohistochemistry results also indicated that L. plantarum FLPL05 promoted the expression of tight junction proteins (ZO-1 and occludin) and reduced the apoptosis of intestinal cells. In addition, L. plantarum FLPL05 and the fermented supernatant increased the activity of HT-29. L. plantarum FLPL05 prolonged the lifespan by improving the health of the intestinal tract after aging and may be a potential probiotic and nutritional supplement for the elderly people.
Collapse
Affiliation(s)
- Xiaomin Yu
- Jiangxi-Oai Joint Research Institute, Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, People's Republic of China
- School of Basic Medical Sciences, Nanchang University, Nanchang, 330047, People's Republic of China
| | - Min Wei
- Jiangxi-Oai Joint Research Institute, Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, People's Republic of China
| | - Dong Yang
- Jiangxi-Oai Joint Research Institute, Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, People's Republic of China
| | - Xiaoli Wu
- College of Basic Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, People's Republic of China
| | - Hua Wei
- Jiangxi-Oai Joint Research Institute, Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, People's Republic of China.
| | - Feng Xu
- Jiangxi-Oai Joint Research Institute, Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, People's Republic of China.
| |
Collapse
|
10
|
Shemtov SJ, Emani R, Bielska O, Covarrubias AJ, Verdin E, Andersen JK, Winer DA. The intestinal immune system and gut barrier function in obesity and ageing. FEBS J 2023; 290:4163-4186. [PMID: 35727858 PMCID: PMC9768107 DOI: 10.1111/febs.16558] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 04/29/2022] [Accepted: 06/20/2022] [Indexed: 08/13/2023]
Abstract
Obesity and ageing predispose to numerous, yet overlapping chronic diseases. For example, metabolic abnormalities, including insulin resistance (IR) and type 2 diabetes (T2D) are important causes of morbidity and mortality. Low-grade chronic inflammation of tissues, such as the liver, visceral adipose tissue and neurological tissues, is considered a significant contributor to these chronic diseases. Thus, it is becoming increasingly important to understand what drives this inflammation in affected tissues. Recent evidence, especially in the context of obesity, suggests that the intestine plays an important role as the gatekeeper of inflammatory stimuli that ultimately fuels low-grade chronic tissue inflammation. In addition to metabolic diseases, abnormalities in the intestinal mucosal barrier have been linked to a range of other chronic inflammatory conditions, such as neurodegeneration and ageing. The flow of inflammatory stimuli from the gut is in part controlled by local immunological inputs impacting the intestinal barrier. Here, we will review the impact of obesity and ageing on the intestinal immune system and its downstream consequences on gut barrier function, which is strongly implicated in the pathogenesis of obesity and age-related diseases. In particular, we will discuss the effects of age-related intestinal dysfunction on neurodegenerative diseases.
Collapse
Affiliation(s)
- Sarah J. Shemtov
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Rohini Emani
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Olga Bielska
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Anthony J. Covarrubias
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095 USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, 90095 USA
| | - Eric Verdin
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Julie K. Andersen
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Daniel A. Winer
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
- Division of Cellular & Molecular Biology, Diabetes Research Group, Toronto General Research Institute (TGRI), University Health Network, 101 College Street, Toronto, ON, M5G 1L7, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King’s College Circle, Toronto, ON, M5S 1A8, Canada
- Department of Immunology, University of Toronto, 1 King’s College Circle, Toronto, ON, M5S 1A8, Canada
| |
Collapse
|
11
|
Sajdel-Sulkowska EM. The Impact of Maternal Gut Microbiota during Pregnancy on Fetal Gut-Brain Axis Development and Life-Long Health Outcomes. Microorganisms 2023; 11:2199. [PMID: 37764043 PMCID: PMC10538154 DOI: 10.3390/microorganisms11092199] [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: 07/11/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
Gut microbiota plays a critical role in physiological regulation throughout life and is specifically modified to meet the demands of individual life stages and during pregnancy. Maternal gut microbiota is uniquely adapted to the pregnancy demands of the mother and the developing fetus. Both animal studies in pregnant germ-free rodents and human studies have supported a critical association between the composition of maternal microbiota during pregnancy and fetal development. Gut microbiota may also contribute to the development of the fetal gut-brain axis (GBA), which is increasingly recognized for its critical role in health and disease. Most studies consider birth as the time of GBA activation and focus on postnatal GBA development. This review focuses on GBA development during the prenatal period and the impact of maternal gut microbiota on fetal GBA development. It is hypothesized that adaptation of maternal gut microbiota to pregnancy is critical for the GBA prenatal development and maturation of GBA postnatally. Consequently, factors affecting maternal gut microbiota during pregnancy, such as maternal obesity, diet, stress and depression, infection, and medication, also affect fetal GBA development and are critical for GBA activity postnatally. Altered maternal gut microbiota during gestation has been shown to have long-term impact postnatally and multigenerational effects. Thus, understanding the impact of maternal gut microbiota during pregnancy on fetal GBA development is crucial for managing fetal, neonatal, and adult health, and should be included among public health priorities.
Collapse
|
12
|
Kiouptsi K, Pontarollo G, Reinhardt C. Gut Microbiota and the Microvasculature. Cold Spring Harb Perspect Med 2023; 13:a041179. [PMID: 37460157 PMCID: PMC10411863 DOI: 10.1101/cshperspect.a041179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
The gut microbiota is increasingly recognized as an actuating variable shaping vascular development and endothelial cell function in the intestinal mucosa but also affecting the microvasculature of remote organs. In the small intestine, colonization with gut microbiota and subsequent activation of innate immune pathways promotes the development of intricate capillary networks and lacteals, influencing the integrity of the gut-vascular barrier as well as nutrient uptake. Since the liver yields most of its blood supply via the portal circulation, the hepatic microcirculation steadily encounters microbiota-derived patterns and active signaling metabolites that induce changes in the organization of the liver sinusoidal endothelium, influencing immune zonation of sinusoids and impacting on metabolic processes. In addition, microbiota-derived signals may affect the vasculature of distant organ systems such as the brain and the eye microvasculature. In recent years, this gut-resident microbial ecosystem was revealed to contribute to the development of several vascular disease phenotypes.
Collapse
Affiliation(s)
- Klytaimnistra Kiouptsi
- Center for Thrombosis and Hemostasis (CTH), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Giulia Pontarollo
- Center for Thrombosis and Hemostasis (CTH), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Christoph Reinhardt
- Center for Thrombosis and Hemostasis (CTH), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| |
Collapse
|
13
|
Gu F, Larsen N, Pascale N, Petersen SA, Khakimov B, Respondek F, Jespersen L. Age-related effects on the modulation of gut microbiota by pectins and their derivatives: an in vitro study. Front Microbiol 2023; 14:1207837. [PMID: 37476669 PMCID: PMC10354267 DOI: 10.3389/fmicb.2023.1207837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/13/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction The present study investigates whether supplementation with pectin-type polysaccharides has potential to improve aging-associated dysbiosis of the gut microbiota. The influence of different types of pectins on the gut microbiota composition and short-chain fatty acids (SCFAs) profiles of elderly was compared to younger adults. Methods Pectins studied included a pectin polysaccharide (PEC), a partially hydrolyzed pectin (PPH), and a pectin oligosaccharide (POS). Additionally, inulin was used as a reference prebiotic substrate. Individual fecal samples were collected from healthy elderly volunteers (70-75 years) and younger adults (30-35 years). In vitro fermentations were performed using the CoMiniGut model with controlled temperature and pH. Samples were withdrawn at baseline and after 24 h fermentation for measurement of SCFAs production and microbiota composition by 16S rRNA gene sequencing. Results and Discussion The results showed that fermentations with PEC and PPH resulted in a specific stimulation of Faecalibacterium prausnitzii regardless of the age groups. Collinsella aerofaciens became a dominating species in the young adult group with fermentations of all three pectins, which was not observed in the elderly group. No significant differences in SCFAs production were found among the pectins, indicating a high level of functional redundancy. Pectins boosted various bacterial groups differently from the reference prebiotic substrate (inulin). We also found inulin had reduced butyrogenic and bifidogenic effects in the elderly group compared to the younger adult group. In conclusion, the in vitro modulating effects of pectins on elderly gut microbiota showed potential of using pectins to improve age-related dysbiosis.
Collapse
Affiliation(s)
- Fangjie Gu
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
- CP Kelco ApS, Lille Skensved, Denmark
| | - Nadja Larsen
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | | | | | - Bekzod Khakimov
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | | | - Lene Jespersen
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| |
Collapse
|
14
|
Khatoon S, Kalam N, Rashid S, Bano G. Effects of gut microbiota on neurodegenerative diseases. Front Aging Neurosci 2023; 15:1145241. [PMID: 37323141 PMCID: PMC10268008 DOI: 10.3389/fnagi.2023.1145241] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 04/12/2023] [Indexed: 06/17/2023] Open
Abstract
A progressive degradation of the brain's structure and function, which results in a reduction in cognitive and motor skills, characterizes neurodegenerative diseases (NDs) such as Alzheimer's disease (AD), Parkinson's disease (PD), Amyotrophic lateral sclerosis (ALS), and Huntington's disease (HD). The morbidity linked to NDs is growing, which poses a severe threat to human being's mental and physical ability to live well. The gut-brain axis (GBA) is now known to have a crucial role in the emergence of NDs. The gut microbiota is a conduit for the GBA, a two-way communication system between the gut and the brain. The myriad microorganisms that make up the gut microbiota can affect brain physiology by transmitting numerous microbial chemicals from the gut to the brain via the GBA or neurological system. The synthesis of neurotransmitters, the immunological response, and the metabolism of lipids and glucose have all been demonstrated to be impacted by alterations in the gut microbiota, such as an imbalance of helpful and harmful bacteria. In order to develop innovative interventions and clinical therapies for NDs, it is crucial to comprehend the participation of the gut microbiota in these conditions. In addition to using antibiotics and other drugs to target particular bacterial species that may be a factor in NDs, this also includes using probiotics and other fecal microbiota transplantation to maintain a healthy gut microbiota. In conclusion, the examination of the GBA can aid in understanding the etiology and development of NDs, which may benefit the improvement of clinical treatments for these disorders and ND interventions. This review indicates existing knowledge about the involvement of microbiota present in the gut in NDs and potential treatment options.
Collapse
Affiliation(s)
- Saima Khatoon
- Department of Medical Elementology and Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India
| | - Nida Kalam
- Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| | - Summya Rashid
- Department of Pharmacology and Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Gulnaz Bano
- Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| |
Collapse
|
15
|
Salazar J, Durán P, Díaz MP, Chacín M, Santeliz R, Mengual E, Gutiérrez E, León X, Díaz A, Bernal M, Escalona D, Hernández LAP, Bermúdez V. Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20105845. [PMID: 37239571 DOI: 10.3390/ijerph20105845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/20/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023]
Abstract
The gut microbiota (GM) has been the subject of intense research in recent years. Therefore, numerous factors affecting its composition have been thoroughly examined, and with them, their function and role in the individual's systems. The gut microbiota's taxonomical composition dramatically impacts older adults' health status. In this regard, it could either extend their life expectancy via the modulation of metabolic processes and the immune system or, in the case of dysbiosis, predispose them to age-related diseases, including bowel inflammatory and musculoskeletal diseases and metabolic and neurological disorders. In general, the microbiome of the elderly tends to present taxonomic and functional changes, which can function as a target to modulate the microbiota and improve the health of this population. The GM of centenarians is unique, with the faculty-promoting metabolic pathways capable of preventing and counteracting the different processes associated with age-related diseases. The molecular mechanisms by which the microbiota can exhibit anti-ageing properties are mainly based on anti-inflammatory and antioxidant actions. This review focuses on analysing the current knowledge of gut microbiota characteristics and modifiers, its relationship with ageing, and the GM-modulating approaches to increase life expectancy.
Collapse
Affiliation(s)
- Juan Salazar
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Pablo Durán
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - María P Díaz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Maricarmen Chacín
- Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla 080002, Colombia
- Sociedad Internacional de Rejuvenecimiento Facial No Quirúrgico (SIRF), Barranquilla 080002, Colombia
| | - Raquel Santeliz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Edgardo Mengual
- Biological Research Institute "Doctors Orlando Castejon and Haydee V Castejon", Faculty of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Emma Gutiérrez
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Xavier León
- Instituto Ecuatoriano de Seguridad Social, Cuenca 010101, Ecuador
| | - Andrea Díaz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Marycarlota Bernal
- Facultad de Ingenierias, Universidad Simón Bolívar, Cúcuta 540001, Colombia
| | - Daniel Escalona
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | | | - Valmore Bermúdez
- Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla 080002, Colombia
| |
Collapse
|
16
|
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: 42] [Impact Index Per Article: 42.0] [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.
Collapse
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.
| |
Collapse
|
17
|
Agostini D, Gervasi M, Ferrini F, Bartolacci A, Stranieri A, Piccoli G, Barbieri E, Sestili P, Patti A, Stocchi V, Donati Zeppa S. An Integrated Approach to Skeletal Muscle Health in Aging. Nutrients 2023; 15:nu15081802. [PMID: 37111021 PMCID: PMC10141535 DOI: 10.3390/nu15081802] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
A decline in muscle mass and function represents one of the most problematic changes associated with aging, and has dramatic effects on autonomy and quality of life. Several factors contribute to the inexorable process of sarcopenia, such as mitochondrial and autophagy dysfunction, and the lack of regeneration capacity of satellite cells. The physiologic decline in muscle mass and in motoneuron functionality associated with aging is exacerbated by the sedentary lifestyle that accompanies elderly people. Regular physical activity is beneficial to most people, but the elderly need well-designed and carefully administered training programs that improve muscle mass and, consequently, both functional ability and quality of life. Aging also causes alteration in the gut microbiota composition associated with sarcopenia, and some advances in research have elucidated that interventions via the gut microbiota-muscle axis have the potential to ameliorate the sarcopenic phenotype. Several mechanisms are involved in vitamin D muscle atrophy protection, as demonstrated by the decreased muscular function related to vitamin D deficiency. Malnutrition, chronic inflammation, vitamin deficiencies, and an imbalance in the muscle-gut axis are just a few of the factors that can lead to sarcopenia. Supplementing the diet with antioxidants, polyunsaturated fatty acids, vitamins, probiotics, prebiotics, proteins, kefir, and short-chain fatty acids could be potential nutritional therapies against sarcopenia. Finally, a personalized integrated strategy to counteract sarcopenia and maintain the health of skeletal muscles is suggested in this review.
Collapse
Affiliation(s)
- Deborah Agostini
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Marco Gervasi
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Fabio Ferrini
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Alessia Bartolacci
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Alessandro Stranieri
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Giovanni Piccoli
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Elena Barbieri
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Piero Sestili
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| | - Antonino Patti
- Sport and Exercise Sciences Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, 90128 Palermo, Italy
| | - Vilberto Stocchi
- Department of Human Science for Promotion of Quality of Life, Università Telematica San Raffaele, 00166 Rome, Italy
| | - Sabrina Donati Zeppa
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
| |
Collapse
|
18
|
Li L, Zhao X, He JJ. HIV Tat Expression and Cocaine Exposure Lead to Sex- and Age-Specific Changes of the Microbiota Composition in the Gut. Microorganisms 2023; 11:799. [PMID: 36985373 PMCID: PMC10054272 DOI: 10.3390/microorganisms11030799] [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: 02/10/2023] [Revised: 03/08/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
The balance of microbial communities in the gut is extremely important for normal physiological function. Disruption of the balance is often associated with various disorders and diseases. Both HIV infection and cocaine use are known to change the gut microbiota and the epithelial barrier integrity, which contribute to inflammation and immune activation. Our recent study shows that Tat expression and cocaine exposure result in changes of genome-wide DNA methylation and gene expression and lead to worsen the learning and memory impairments. In the current study, we extended the study to determine effects of Tat and cocaine on the gut microbiota composition. We found that both Tat expression and cocaine exposure increased Alteromonadaceae in 6-month-old female/male mice. In addition, we found that Tat, cocaine, or both increased Alteromonadaceae, Bacteroidaceae, Cyanobiaceae, Erysipelotrichaceae, and Muribaculaceae but decreased Clostridiales_vadinBB60_group, Desulfovibrionaceae, Helicobacteraceae, Lachnospiraceae, and Ruminococcaceae in 12-month-old female mice. Lastly, we analyzed changes of metabolic pathways and found that Tat decreased energy metabolism and nucleotide metabolism, and increased lipid metabolism and metabolism of other amino acids while cocaine increased lipid metabolism in 12-month-old female mice. These results demonstrated that Tat expression and cocaine exposure resulted in significant changes of the gut microbiota in an age- and sex-dependent manner and provide additional evidence to support the bidirectional gut-brain axis hypothesis.
Collapse
Affiliation(s)
- Lu Li
- Department of Microbiology and Immunology, Chicago Medical School, Rosalind Franklin University, 3333 Green Bay Road, North Chicago, IL 60064, USA
- Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, North Chicago, IL 60064, USA
- School of Graduate and Postdoctoral Studies, Rosalind Franklin University, North Chicago, IL 60064, USA
| | - Xiaojie Zhao
- Department of Microbiology and Immunology, Chicago Medical School, Rosalind Franklin University, 3333 Green Bay Road, North Chicago, IL 60064, USA
- Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, North Chicago, IL 60064, USA
- School of Graduate and Postdoctoral Studies, Rosalind Franklin University, North Chicago, IL 60064, USA
| | - Johnny J. He
- Department of Microbiology and Immunology, Chicago Medical School, Rosalind Franklin University, 3333 Green Bay Road, North Chicago, IL 60064, USA
- Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, North Chicago, IL 60064, USA
- School of Graduate and Postdoctoral Studies, Rosalind Franklin University, North Chicago, IL 60064, USA
| |
Collapse
|
19
|
Xi J, Li Y, Zhang H, Bai Z. Dynamic variations of the gastric microbiota: Key therapeutic points in the reversal of Correa's cascade. Int J Cancer 2023; 152:1069-1084. [PMID: 36029278 DOI: 10.1002/ijc.34264] [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: 03/31/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 01/21/2023]
Abstract
Correa's cascade is a dynamic process in the development of intestinal-type gastric cancer (GC), and its pathological features, gastric microbiota and interactions between microorganisms and their hosts vary at different developmental stages. The characteristics of cells, tissues and gastric microbiota before or after key therapeutic points are critical for monitoring malignant transformation and early tumour reversal. This review summarises the pathological features of gastric mucosa, characteristics of gastric microbiota, specific microbial markers, microbe-microbe interactions and microbe-host interactions at different stages in Correa's cascade. The markers related to each Correa's cascade point were analysed in detail. We attempted to identify key therapeutic points for early cancer reversal and provide a novel approach to reduce the incidence of GC and improve precise treatment.
Collapse
Affiliation(s)
- Jiahui Xi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.,Key Laboratory of Biotherapy and Regenerative Medicine, Gansu Province, Lanzhou, China
| | - Yonghong Li
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumour, Gansu Provincial Hospital, Lanzhou, China
| | - Hui Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.,General Surgery Department, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhongtian Bai
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.,Key Laboratory of Biotherapy and Regenerative Medicine, Gansu Province, Lanzhou, China.,General Surgery Department, The First Hospital of Lanzhou University, Lanzhou, China
| |
Collapse
|
20
|
Dan WY, Yang YS, Peng LH, Sun G, Wang ZK. Gastrointestinal microbiome and cholelithiasis: Current status and perspectives. World J Gastroenterol 2023; 29:1589-1601. [PMID: 36970590 PMCID: PMC10037248 DOI: 10.3748/wjg.v29.i10.1589] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/23/2023] [Accepted: 03/06/2023] [Indexed: 03/14/2023] Open
Abstract
Cholelithiasis is a common digestive disease affecting 10% to 15% of adults. It imposes significant global health and financial burdens. However, the pathogenesis of cholelithiasis involves several factors and is incompletely elucidated. In addition to genetic predisposition and hepatic hypersecretion, the pathogenesis of cholelithiasis might involve the gastrointestinal (GI) microbiome, consisting of microorganisms and their metabolites. High-throughput sequencing studies have elucidated the role of bile, gallstones, and the fecal microbiome in cholelithiasis, associating microbiota dysbiosis with gallstone formation. The GI microbiome may drive cholelithogenesis by regulating bile acid metabolism and related signaling pathways. This review examines the literature implicating the GI microbiome in cholelithiasis, specifically gallbladder stones, choledocholithiasis, and asymptomatic gallstones. We also discuss alterations of the GI microbiome and its influence on cholelithogenesis.
Collapse
Affiliation(s)
- Wan-Yue Dan
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
- Medical School, Nankai University, Tianjin 300071, China
| | - Yun-Sheng Yang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Li-Hua Peng
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Gang Sun
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Zi-Kai Wang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
21
|
Dan WY, Yang YS, Peng LH, Sun G, Wang ZK. Gastrointestinal microbiome and cholelithiasis: Current status and perspectives. World J Gastroenterol 2023; 29:1445-1457. [DOI: 10.3748/wjg.v29.i10.1445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
Abstract
Cholelithiasis is a common digestive disease affecting 10% to 15% of adults. It imposes significant global health and financial burdens. However, the pathogenesis of cholelithiasis involves several factors and is incompletely elucidated. In addition to genetic predisposition and hepatic hypersecretion, the pathogenesis of cholelithiasis might involve the gastrointestinal (GI) microbiome, consisting of microorganisms and their metabolites. High-throughput sequencing studies have elucidated the role of bile, gallstones, and the fecal microbiome in cholelithiasis, associating microbiota dysbiosis with gallstone formation. The GI microbiome may drive cholelithogenesis by regulating bile acid metabolism and related signaling pathways. This review examines the literature implicating the GI microbiome in cholelithiasis, specifically gallbladder stones, choledocholithiasis, and asymptomatic gallstones. We also discuss alterations of the GI microbiome and its influence on cholelithogenesis.
Collapse
Affiliation(s)
- Wan-Yue Dan
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China,Medical School, Nankai University, Tianjin 300071, China
| | - Yun-Sheng Yang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Li-Hua Peng
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Gang Sun
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Zi-Kai Wang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
22
|
Zhang Y, Lv Z, Li X, Zhao K, Huang S, Chen Y, Fu Y, Peng C, Cao T, Ke Y, Xia X. Occurrence and risk assessment of antibiotics in feces of elderly individuals in Shenzhen. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:44943-44951. [PMID: 36697981 DOI: 10.1007/s11356-023-25522-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/19/2023] [Indexed: 06/17/2023]
Abstract
The occurrence of antibiotics in the feces of elderly individuals in Shenzhen, China, was investigated by monitoring 78 compounds to understand the adverse effects and its association with antibiotic residues in animal products collected from local markets. In total, 18 compounds belonging to 5 classes of antibiotics were identified in 74 of 140 fecal samples. Furthermore, 17.9% of the fecal samples contained at least two antibiotics, and 14.3% of the samples showed antibiotic concentrations higher than 100 μg/kg. Cephalothin exhibited the highest detection frequency (22.1%), followed by azithromycin (15.7%) and tilmicosin (12.9%). Oxytetracycline, norfloxacin, and azithromycin showed extremely high concentrations (> 1000 μg/kg). Eight antibiotics were detected in the animal products, with detection frequencies ranging from 4.8 to 40.0%. Five antibiotics exhibited similar detection frequencies and strong correlations between the human fecal and animal product samples. Health risk assessment based on hazard quotients showed that ciprofloxacin in animal products and human feces posed a medium and high risk, respectively. The hazard quotients of oxytetracycline, norfloxacin, and azithromycin in the feces were greater than 1, indicating a high health risk. These findings suggest that the elderly individuals were frequently exposed to antibiotics via the food chain and faced health risks posed by these antibiotics.
Collapse
Affiliation(s)
- Yuan Zhang
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Ziquan Lv
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xiaowei Li
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, China Agricultural University, Beijing, 100193, China
| | - Kunxia Zhao
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Suli Huang
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
- Department of Environmental Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yuhua Chen
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
- Chemical Analysis & Physical Testing Institute, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yulin Fu
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Changfeng Peng
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Tingting Cao
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yuebin Ke
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xi Xia
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, China Agricultural University, Beijing, 100193, China.
| |
Collapse
|
23
|
Hou Q, Huang J, Zhao L, Pan X, Liao C, Jiang Q, Lei J, Guo F, Cui J, Guo Y, Zhang B. Dietary genistein increases microbiota-derived short chain fatty acid levels, modulates homeostasis of the aging gut, and extends healthspan and lifespan. Pharmacol Res 2023; 188:106676. [PMID: 36693599 DOI: 10.1016/j.phrs.2023.106676] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/09/2023] [Accepted: 01/20/2023] [Indexed: 01/22/2023]
Abstract
Age-related gastrointestinal decline contributes to whole-organism frailty and mortality. Genistein is known to have beneficial effects on age-related diseases, but its precise role in homeostasis of the aging gut remains to be elucidated. Here, wild-type aging mice and Zmpste24-/- progeroid mice were used to investigate the role of genistein in lifespan and homeostasis of the aging gut in mammals. A series of longitudinal, clinically relevant measurements were performed to evaluate the effect of genistein on healthspan. It was found that dietary genistein promoted a healthier and longer life and was associated with a decrease in the levels of systemic inflammatory cytokines in aging mice. Furthermore, dietary genistein ameliorated gut dysfunctions, such as intestinal inflammation, leaky gut, and impaired epithelial regeneration. A distinct genistein-mediated alteration in gut microbiota was observed by increasing Lachnospira abundance and short-chain fatty acid (SCFA) production. Further fecal microbiota transplantation and dirty cage sharing experiments indicated that the gut microbiota from genistein-fed mice rejuvenated the aging gut and extended the lifespan of progeroid mice. It was demonstrated that genistein-associated SCFAs alleviated tumor necrosis factor alpha-induced intestinal organoid damage. Moreover, genistein-associated propionate promoted regulatory T cell-derived interleukin 10 production, which alleviated macrophage-derived inflammation. This study provided the first data, to the authors' knowledge, indicating that dietary genistein modulates homeostasis in the aging gut and extends the healthspan and lifespan of aging mammals. Moreover, the existence of a link between genistein and the gut microbiota provides a rationale for dietary interventions against age-associated frailty.
Collapse
Affiliation(s)
- Qihang Hou
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Jingxi Huang
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Lihua Zhao
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Xianjie Pan
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Chaoyong Liao
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Qiuyu Jiang
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Jiaqi Lei
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Fangshen Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Jian Cui
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Yuming Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China
| | - Bingkun Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science & Technology, China Agricultural University, Haidian District, Beijing 100193, China.
| |
Collapse
|
24
|
O’Mahony L, O’Shea E, O’Connor EM, Tierney A, Harkin M, Harrington J, Kennelly S, Arendt E, O’Toole PW, Timmons S. Older adults and healthcare professionals have limited awareness of the link between the Mediterranean diet and the gut microbiome for healthy aging. Front Nutr 2023; 10:1104238. [PMID: 36776602 PMCID: PMC9911522 DOI: 10.3389/fnut.2023.1104238] [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: 11/21/2022] [Accepted: 01/09/2023] [Indexed: 01/28/2023] Open
Abstract
Objectives Strategies to improve the gut microbiome through consuming an improved diet, including adopting the Mediterranean Diet (MD), may promote healthy aging. We explored older adults' and healthcare professionals' (HCPs) perspectives of the MD, gut health, and microbiome for their role in healthy aging. Design Phenomenological qualitative. Setting Community-dwelling older adults and HCPs in primary and secondary care in Ireland. Participants Older adults (aged 55 + years), recruited through social, retirement and disease-support groups. HCPs recruited through researcher networks and professional associations. Measurements Semi-structured 1:1 interviews and focus groups (FGs) conducted remotely with older adults and HCPs separately. Interviews/FGs were recorded, transcribed, and coded using inductive thematic analysis. Results Forty-seven older adults were recruited (50% male; 49% aged 60-69 years; 28% 70 +), and 26 HCPs including dietitians (n = 8); geriatricians (n = 6); clinical therapists (n = 4); nurses, pharmacists, catering managers, and meal-delivery service coordinators (n = 2 each). Older adults considered the MD "a nice way to enjoy food," good for cardiovascular health and longevity, but with accessibility and acceptability challenges (increased salads/fish, different food environments, socio-cultural differences). HCPs felt the MD is included in healthy eating advice, but not overtly, mostly through the promotion of mixed-fiber intake. Older adults considered "live" yogurt and probiotics, and to a lesser extent fiber, to maintain a "healthy gut," suggesting the gut has "something to do with" cognitive and digestive health. Overall, microbiota-health effects were considered "not common knowledge" among most older adults, but becoming more topical among both professionals and the public with advancing scientific communication. Conclusion While "gut health" was considered important, specific effects of the MD on gut microbiota, and the significance of this for healthy aging, was under-recognized. Future efforts should explain the importance to older adults of maintaining the gut microbiota through diet, while appreciating perspectives of probiotic products and supplements.
Collapse
Affiliation(s)
- Lauren O’Mahony
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland
| | - Emma O’Shea
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland
| | - Eibhlís M. O’Connor
- Department of Biological Sciences, University of Limerick, Limerick, Ireland,Health Research Institute, University of Limerick, Limerick, Ireland,APC Microbiome Ireland, Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Audrey Tierney
- School of Allied Health, University of Limerick, Limerick, Ireland,Health Implementation Science and Technology Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland
| | | | | | - Sharon Kennelly
- National Primary Care Strategy and Planning, Health Service Executive, Dublin, Ireland
| | - Elke Arendt
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Paul W. O’Toole
- APC Microbiome Ireland, Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland,School of Microbiology, University College Cork, Cork, Ireland
| | - Suzanne Timmons
- Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, Cork, Ireland,APC Microbiome Ireland, Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland,*Correspondence: Suzanne Timmons,
| |
Collapse
|
25
|
Jendraszak M, Gałęcka M, Kotwicka M, Schwiertz A, Regdos A, Pazgrat-Patan M, Andrusiewicz M. Impact of Biometric Patient Data, Probiotic Supplementation, and Selected Gut Microorganisms on Calprotectin, Zonulin, and sIgA Concentrations in the Stool of Adults Aged 18-74 Years. Biomolecules 2022; 12:biom12121781. [PMID: 36551209 PMCID: PMC9775524 DOI: 10.3390/biom12121781] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/25/2022] [Accepted: 11/28/2022] [Indexed: 12/02/2022] Open
Abstract
Alterations to the intestinal barrier may be involved in the pathogenesis of various chronic diseases. The diagnosis of mucosal barrier disruption has become a new therapeutic target for disease prevention. The aim of this study was to determine whether various patient demographic and biometric data, often not included in diagnostic analyses, may affect calprotectin, zonulin, and sIgA biomarker values. Stool markers' levels in 160 samples were measured colorimetrically. The analysis of twenty key bacteria (15 genera and 5 species) was carried out on the basis of diagnostic tests, including cultures and molecular tests. The concentrations of selected markers were within reference ranges for most patients. The sIgA level was significantly lower in participants declaring probiotics supplementation (p = 0.0464). We did not observe differences in gastrointestinal discomfort in participants. We found significant differences in the sIgA level between the 29-55 years and >55 years age-related intervals groups (p = 0.0191), together with a significant decreasing trend (p = 0.0337) in age-dependent sIgA concentration. We observed complex interdependencies and relationships between their microbiota and the analyzed biomarkers. For correct clinical application, standardized values of calprotectin and sIgA should be determined, especially in elderly patients. We observed a correlation between the composition of the gut community and biomarker levels, although it requires further in-depth analysis.
Collapse
Affiliation(s)
- Magdalena Jendraszak
- Chair and Department of Cell Biology, Poznan University of Medical Sciences, Rokietnicka 5D, 60-806 Poznań, Poland
- Correspondence: (M.J.); (M.A.)
| | | | - Małgorzata Kotwicka
- Chair and Department of Cell Biology, Poznan University of Medical Sciences, Rokietnicka 5D, 60-806 Poznań, Poland
| | | | | | | | - Mirosław Andrusiewicz
- Chair and Department of Cell Biology, Poznan University of Medical Sciences, Rokietnicka 5D, 60-806 Poznań, Poland
- Correspondence: (M.J.); (M.A.)
| |
Collapse
|
26
|
The Kitty Microbiome Project: Defining the Healthy Fecal "Core Microbiome" in Pet Domestic Cats. Vet Sci 2022; 9:vetsci9110635. [PMID: 36423084 PMCID: PMC9698023 DOI: 10.3390/vetsci9110635] [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: 10/01/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 11/19/2022] Open
Abstract
Here, we present a taxonomically defined fecal microbiome dataset for healthy domestic cats (Felis catus) fed a range of commercial diets. We used this healthy reference dataset to explore how age, diet, and living environment correlate with fecal microbiome composition. Thirty core bacterial genera were identified. Prevotella, Bacteroides, Collinsella, Blautia, and Megasphaera were the most abundant, and Bacteroides, Blautia, Lachnoclostridium, Sutterella, and Ruminococcus gnavus were the most prevalent. While community composition remained relatively stable across different age classes, the number of core taxa present decreased significantly with age. Fecal microbiome composition varied with host diet type. Cats fed kibble had a slightly, but significantly greater number of core taxa compared to cats not fed any kibble. The core microbiomes of cats fed some raw food contained taxa not as highly prevalent or abundant as cats fed diets that included kibble. Living environment also had a large effect on fecal microbiome composition. Cats living in homes differed significantly from those in shelters and had a greater portion of their microbiomes represented by core taxa. Collectively our work reinforces the findings that age, diet, and living environment are important factors to consider when defining a core microbiome in a population.
Collapse
|
27
|
Tims S, Marsaux C, Pinto A, Daly A, Karall D, Kuhn M, Santra S, Roeselers G, Knol J, MacDonald A, Scholl-Bürgi S. Altered gut microbiome diversity and function in patients with propionic acidemia. Mol Genet Metab 2022; 137:308-322. [PMID: 36274442 DOI: 10.1016/j.ymgme.2022.09.012] [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: 06/24/2022] [Revised: 09/30/2022] [Accepted: 09/30/2022] [Indexed: 11/30/2022]
Abstract
Propionic acidemia (PA) is an inherited metabolic disorder of propionate metabolism, where the gut microbiota may play a role in pathophysiology and therefore, represent a relevant therapeutic target. Little is known about the gut microbiota composition and activity in patients with PA. Although clinical practice varies between metabolic treatment centers, management of PA requires combined dietary and pharmaceutical treatments, both known to affect the gut microbiota. This study aimed to characterize the gut microbiota and its metabolites in fecal samples of patients with PA compared with healthy controls from the same household. Eight patients (aged 3-14y) and 8 controls (4-31y) were recruited from Center 1 (UK) and 7 patients (11-33y) and 6 controls (15-54y) from Center 2 (Austria). Stool samples were collected 4 times over 3 months, alongside data on dietary intakes and medication usage. Several microbial taxa differed between patients with PA and controls, particularly for Center 1, e.g., Proteobacteria levels were increased, whereas butyrate-producing genera, such as Roseburia and Faecalibacterium, were decreased. Most measured microbial metabolites were lower in patients with PA, and butyrate was particularly depleted in patients from Center 1. Furthermore, microbiota profile of these patients showed the lowest compositional and functional diversity, and lowest stability over 3 months. As the first study to map the gut microbiota of patients with PA, this work represents an important step forward for developing new therapeutic strategies to further improve PA clinical status. New dietary strategies should consider microbial propionate production as well as butyrate production and microbiota stability.
Collapse
Affiliation(s)
- Sebastian Tims
- Danone Nutricia Research, Uppsalalaan 12, 3584CT Utrecht, the Netherlands.
| | - Cyril Marsaux
- Danone Nutricia Research, Uppsalalaan 12, 3584CT Utrecht, the Netherlands.
| | - Alex Pinto
- Department of Dietetics, Birmingham Women's and Children's NHS Foundation Trust, Steelhouse Lane, Birmingham B4 6NH, UK.
| | - Anne Daly
- Department of Dietetics, Birmingham Women's and Children's NHS Foundation Trust, Steelhouse Lane, Birmingham B4 6NH, UK.
| | - Daniela Karall
- Department of Pediatrics I, Inherited Metabolic Disorders, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria.
| | - Mirjam Kuhn
- Danone Nutricia Research, Uppsalalaan 12, 3584CT Utrecht, the Netherlands.
| | - Saikat Santra
- Department of Clinical Inherited Metabolic Disorders, Birmingham Women's and Children's NHS Foundation Trust, Steelhouse Lane, Birmingham B4 6NH, UK.
| | - Guus Roeselers
- Danone Nutricia Research, Uppsalalaan 12, 3584CT Utrecht, the Netherlands.
| | - Jan Knol
- Danone Nutricia Research, Uppsalalaan 12, 3584CT Utrecht, the Netherlands; Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708WE Wageningen, the Netherlands.
| | - Anita MacDonald
- Department of Dietetics, Birmingham Women's and Children's NHS Foundation Trust, Steelhouse Lane, Birmingham B4 6NH, UK.
| | - Sabine Scholl-Bürgi
- Department of Pediatrics I, Inherited Metabolic Disorders, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria.
| |
Collapse
|
28
|
Pan R, Wang L, Xu X, Chen Y, Wang H, Wang G, Zhao J, Chen W. Crosstalk between the Gut Microbiome and Colonic Motility in Chronic Constipation: Potential Mechanisms and Microbiota Modulation. Nutrients 2022; 14:nu14183704. [PMID: 36145079 PMCID: PMC9505360 DOI: 10.3390/nu14183704] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
Chronic constipation (CC) is a highly prevalent and burdensome gastrointestinal disorder. Accumulating evidence highlights the link between imbalances in the gut microbiome and constipation. However, the mechanisms by which the microbiome and microbial metabolites affect gut movement remain poorly understood. In this review, we discuss recent studies on the alteration in the gut microbiota in patients with CC and the effectiveness of probiotics in treating gut motility disorder. We highlight the mechanisms that explain how the gut microbiome and its metabolism are linked to gut movement and how intestinal microecological interventions may counteract these changes based on the enteric nervous system, the central nervous system, the immune function, and the ability to modify intestinal secretion and the hormonal milieu. In particular, microbiota-based approaches that modulate the levels of short-chain fatty acids and tryptophan catabolites or that target the 5-hydroxytryptamine and Toll-like receptor pathways may hold therapeutic promise. Finally, we discuss the existing limitations of microecological management in treating constipation and suggest feasible directions for future research.
Collapse
Affiliation(s)
- Ruili Pan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Linlin Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Xiaopeng Xu
- The Department of Clinical Laboratory, Wuxi Xishan People’s Hospital, Wuxi 214105, China
| | - Ying Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Haojue Wang
- The Department of of Obstetrics and Gynecology, Wuxi Xishan People’s Hospital, Wuxi 214105, China
- Correspondence: (H.W.); (J.Z.); Tel.: +86-510-8240-2084 (H.W.); +86-510-8591-2155 (J.Z.)
| | - Gang Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
- (Yangzhou) Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004, China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
- (Yangzhou) Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004, China
- Correspondence: (H.W.); (J.Z.); Tel.: +86-510-8240-2084 (H.W.); +86-510-8591-2155 (J.Z.)
| | - Wei Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
- (Yangzhou) Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004, China
| |
Collapse
|
29
|
Gut microbiome and aging nexus and underlying mechanism. Appl Microbiol Biotechnol 2022; 106:5349-5358. [PMID: 35882675 DOI: 10.1007/s00253-022-12089-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 02/07/2023]
Abstract
According to the United Nations population profile, the number of individuals aged 60 and over in high-income nations is expected to rise from 302 million to over 366 million between 2019 and 2030, so there is an increasing emphasis on nutrition and health in older people. Numerous studies have demonstrated the crucial role that gut microbiota plays in maintaining human health. As a model of healthy aging, centenarians have different gut microbiota from ordinary elderly people. The core microbiome of centenarians in various countries has shown some common characteristics, which are worth further exploration. In this review, the significance of the human gut microbiota to health is briefly discussed, and the characteristics of the gut microbiota of long-lived senior persons of different ages and in different countries are described. Moreover, this review lists dietary interventions and fecal microbiota transplantation. In the end, it discusses the pros and cons of using probiotics to enhance the health of seniors through focused management of the gut microbiota. It aims to pave the way for further investigation into the nexus between gut microbiota, probiotics, and longevity, and then to reveal the underlying mechanism to promote longevity. KEY POINTS: • Gut microbial structure in different age groups and the characteristics of gut microbiota in centenarians. • Dietary interventions, fecal transplants, and probiotics target the modulation of gut microbiota for healthy aging.
Collapse
|
30
|
Abstract
The gut microbiome is a contributory factor in ageing-related health loss and in several non-communicable diseases in all age groups. Some age-linked and disease-linked compositional and functional changes overlap, while others are distinct. In this Review, we explore targeted studies of the gut microbiome of older individuals and general cohort studies across geographically distinct populations. We also address the promise of the targeted restoration of microorganisms associated with healthier ageing.
Collapse
Affiliation(s)
- Tarini Shankar Ghosh
- APC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland
- School of Microbiology, University College Cork, National University of Ireland, Cork, Ireland
| | - Fergus Shanahan
- APC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland
- Department of Medicine, University College Cork, National University of Ireland, Cork, Ireland
| | - Paul W O'Toole
- APC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland.
- School of Microbiology, University College Cork, National University of Ireland, Cork, Ireland.
| |
Collapse
|
31
|
Guedes MR, Galiza DDFD, Almeida Cabral L, Lacerda VWDS, Fernandes Leal AL, Sampaio HADC. Difficulties experienced by caregivers of patients with Alzheimer's Disease in relation to dietary care: integrative review. REVISTA CIÊNCIAS EM SAÚDE 2022. [DOI: 10.21876/rcshci.v12i3.1244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Objective: To analyze the problems experienced by caregivers of patients with Alzheimer's Disease (AD) in dietary care. Methods: An integrative review was carried out, whose guiding question was "What are the experiences and difficulties reported by caregivers of people with Alzheimer's disease concerning dietary care?". The search occurred in April/2021 in the following databases: MEDLINE, Science Direct, SCOPUS, Web of Science, SciELO, and Lilacs. Publications fromthe last 10 years in English, Portuguese or Spanish were included. Results: Of the 2,418 articles initially found, the titles of 39 seemed to fit the research objectives. Of these, 11 articles were selected for full reading, and 8 were evaluated to answer the research question. A gap in the approach to the problems experienced by caregivers of patients with AD concerning dietary care was observed. Difficulties dealing with reduced appetite, dysphagia, inability to remember eating, mealtime refusal, and food repulsion were reported. Allied to this, caregiver stress was reported. Conclusion: The main problems experienced by caregivers of patients with AD involve reduced appetite, dysphagia, difficulty remembering what they have already eaten, refusal at mealtimes, and food repulsion. Thus, the theme deserves the attention and involvement of health professionals to focus on the most frequent difficulties and teach caregivers to overcome them.
Collapse
|
32
|
Murphy JL. Prevention, identification and management of malnutrition in older people in the community. Nurs Stand 2022; 37:75-81. [PMID: 35786674 DOI: 10.7748/ns.2022.e11891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2022] [Indexed: 01/14/2023]
Abstract
Malnutrition, specifically undernutrition, is a significant health concern among older people, yet it is under-detected and under-treated in the community. The causes of malnutrition are complex and multifactorial, and the risk has been exacerbated by the coronavirus disease 2019 (COVID-19) pandemic due to social isolation and loneliness, which can affect older people's appetite and thus reduce their nutritional intake. This article discusses the causes and consequences of malnutrition in older people and describes what is involved in malnutrition screening, person-centred care planning and treatment. The author considers various approaches to overcoming the barriers associated with identifying malnutrition in older people in the community and outlines the role of the nurse in the effective management of malnutrition in this population.
Collapse
Affiliation(s)
- Jane Louise Murphy
- Ageing and Dementia Research Centre, Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, England
| |
Collapse
|
33
|
Salvesi C, Silvi S, Fiorini D, Scortichini S, Sagratini G, Palermo FA, De Leone R, Egidi N, Fatone L, Cifani C, Amedei A, Scocchera F, Morici M, Gatto B, Mannucci F, Valeriani V, Malavasi M, Servili S, Casula A, Cresci A, Corradetti I, Carpi F, Picciolini M, Coman MM, Verdenelli MC. Impact of a probiotic diet on wellbeing of healthy senior:
THE PROBIOSENIOR PROJECT. J Appl Microbiol 2022; 133:2941-2953. [DOI: 10.1111/jam.15747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/22/2022] [Accepted: 07/11/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Chiara Salvesi
- Scuola di Bioscienze e Medicina Veterinaria University of Camerino Camerino Italy
| | - Stefania Silvi
- Scuola di Bioscienze e Medicina Veterinaria University of Camerino Camerino Italy
| | - Dennis Fiorini
- Scuola di Scienze e Tecnologie University of Camerino Camerino Italy
| | | | - Gianni Sagratini
- Scuola del Farmaco e dei Prodotti della Salute University of Camerino Camerino Italy
| | - Francesco A. Palermo
- Scuola di Bioscienze e Medicina Veterinaria University of Camerino Camerino Italy
| | - Renato De Leone
- Scuola di Scienze e Tecnologie University of Camerino Camerino Italy
| | - Nadaniela Egidi
- Scuola di Scienze e Tecnologie University of Camerino Camerino Italy
| | - Lorella Fatone
- Scuola di Scienze e Tecnologie University of Camerino Camerino Italy
| | - Carlo Cifani
- Scuola del Farmaco e dei Prodotti della Salute University of Camerino Camerino Italy
| | - Amedeo Amedei
- Dipartimento di Medicina Sperimentale e Clinica, Università di Firenze Firenze Italy
| | | | - Mara Morici
- COOSS Marche Cooperativa Sociale Onlus Ancona Italy
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Heinze-Milne SD, Banga S, Howlett SE. Frailty and cytokines in preclinical models: Comparisons with humans. Mech Ageing Dev 2022; 206:111706. [PMID: 35835224 DOI: 10.1016/j.mad.2022.111706] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/22/2022] [Accepted: 07/08/2022] [Indexed: 11/27/2022]
Abstract
Chronic low-grade elevations of blood-borne cytokines/chemokines in older age tend to associate with frailty in humans. This persistent inflammation is often called "inflammageing" and likely contributes to frailty progression. Preclinical models such as ageing and/or genetically modified mice offer a unique opportunity to mechanistically study how these inflammatory mediators affect frailty. In this review, we summarize and contrast evidence relating cytokines/chemokines to frailty in humans and in mouse models of frailty. In humans and mice, higher levels of the pro-inflammatory cytokine interleukin-6 regularly increased in proportion to the degree of frailty. Evidence linking other cytokines/chemokines to frailty in humans and mice is less certain. The chemokines CXCL-10 and monocyte chemoattractant protein-1 related to frailty across both species, but evidence is limited and inconsistent. Several other cytokines/chemokines, including tumour necrosis factor-α relate to frailty in humans or in mice, but evidence to date is species- and tissue-dependent. It is important for future studies to validate common mechanistic inflammatory biomarkers of frailty between humans and mice. Achieving this goal will accelerate the search for drugs to treat frailty.
Collapse
Affiliation(s)
| | - Shubham Banga
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Susan E Howlett
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada; Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada.
| |
Collapse
|
35
|
Feng Y, Zhang D, Zhao Y, Duan T, Sun H, Ren L, Ren X, Lu G, Liu Y, Zhang Z, Li Y, Li H, Jia A, He S. Effect of intestinal microbiota transplantation on cerebral ischemia reperfusion injury in aged mice via inhibition of IL-17. Neurogastroenterol Motil 2022; 34:e14313. [PMID: 35068020 DOI: 10.1111/nmo.14313] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/18/2021] [Accepted: 11/29/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES This study investigates the effects and mechanisms of intestinal microbiota transplantation on cerebral ischemia reperfusion injury in aged mice. METHODS We constructed a middle cerebral artery occlusion model after fecal microbiota transplantation from young C57 mice to aged C57 mice for 30 consecutive days via enema. The neurological deficit score, cerebral infarction volume, fecal flora composition, and IL-17 levels in the colon, brain, and serum were evaluated in young mice, aged mice, and aged mice that received fecal microbiota transplantation. Moreover, we administered rIL-17A through caudal vein injection to verify its effect on cerebral ischemia reperfusion injury in aged mice. RESULTS We find that aged mice exhibited larger cerebral infarction volume and more severe neurological deficit than young mice after middle cerebral artery occlusion. Bacteroidetes increased and firmicutes decreased significantly in the feces of aged mice after microbiota transplantation. Furthermore, the transplanted mice showed improved neurological function and reduced infarction volume after middle cerebral artery occlusion compared with the control aged mice. We also find that the neuroprotective effect of the microbiota transplantation was reversed by pre-treatment of rIL-17A. CONCLUSION In summary, intestinal microbiota transplantation can alleviate cerebral ischemia reperfusion injury in aged mice by restoring their microbiota environment and inhibiting IL-17 in the gut, serum, and brain tissue.
Collapse
Affiliation(s)
- Yun Feng
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Dan Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Yan Zhao
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Tianjiao Duan
- Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Huanhuan Sun
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Li Ren
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Xiaoyang Ren
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Guifang Lu
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Yaping Liu
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Zhiyong Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Yingchao Li
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Hongxia Li
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Ai Jia
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Shuixiang He
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| |
Collapse
|
36
|
Konstanti P, van Splunter M, van den Brink E, Belzer C, Nauta A, van Neerven RJJ, Smidt H. The Effect of Nutritional Intervention with Lactoferrin, Galactooligosacharides and Vitamin D on the Gut Microbiota Composition of Healthy Elderly Women. Nutrients 2022; 14:nu14122468. [PMID: 35745198 PMCID: PMC9228949 DOI: 10.3390/nu14122468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/06/2022] [Accepted: 06/10/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Nutritional supplements, such as bovine lactoferrin (bLF), have been studied for their immunomodulatory properties, but little is known of their effect on the gut microbiota composition of the elderly when supplemented alone or combined with other nutritional supplements such as prebiotics and micronutrients. In the present study, fecal samples from a double-blind, placebo-controlled nutritional intervention study were analysed. At baseline (T1), 25 elderly women were distributed into two groups receiving dietary intervention (n = 12) or placebo treatment (n = 13) for 9 weeks. During the first 3 weeks of the study (T2), the intervention group consumed 1 g/day bLF, followed by 3 weeks (T3) of 1 g/day bLF and 2.64 g/day active galactooligosaccharides (GOS), and 3 weeks (T4) of 1 g/day bLF, 2.64 g/day GOS and 20 μg/day of vitamin D. The placebo group received maltodextrin, in dosages matching those of the intervention group. Fecal bacterial composition was profiled using partial 16S rRNA gene amplicon sequencing. Short-chain fatty acids (SCFA) were determined in fecal water as were levels of calprotectin, zonulin, and alpha-1-antitrypsin, as markers of gastrointestinal barrier and inflammation. Results: A significant increase was observed in the relative abundance of the genus Holdemanella (p < 0.01) in the intervention group compared to the placebo at T1. During T2, Bifidobacterium relative abundance increased significantly (p < 0.01) in the intervention group compared to the placebo, and remained significantly higher until the end of the study. No other effect was reported during T3. Furthermore, concentrations of SCFAs and calprotectin, zonulin and alpha-1-antitrypsin did not change during the intervention, although zonulin levels increased significantly within the placebo group by the end of the intervention. Conclusions: We conclude that supplementation of bLF enhanced the relative abundance of Holdemanella in the fecal microbiota of healthy elderly women, and further addition of GOS enhanced the relative abundance of Bifidobacterium.
Collapse
Affiliation(s)
- Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University & Research, 6700 EH Wageningen, The Netherlands; (C.B.); (H.S.)
- Correspondence:
| | - Marloes van Splunter
- Cell Biology & Immunology, Wageningen University & Research, 6700 AH Wageningen, The Netherlands; (M.v.S.); (E.v.d.B.); (R.J.J.v.N.)
| | - Erik van den Brink
- Cell Biology & Immunology, Wageningen University & Research, 6700 AH Wageningen, The Netherlands; (M.v.S.); (E.v.d.B.); (R.J.J.v.N.)
- Aquaculture and Fisheries, Wageningen University & Research, 6700 AH Wageningen, The Netherlands;
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University & Research, 6700 EH Wageningen, The Netherlands; (C.B.); (H.S.)
| | - Arjen Nauta
- Aquaculture and Fisheries, Wageningen University & Research, 6700 AH Wageningen, The Netherlands;
| | - R. J. Joost van Neerven
- Cell Biology & Immunology, Wageningen University & Research, 6700 AH Wageningen, The Netherlands; (M.v.S.); (E.v.d.B.); (R.J.J.v.N.)
- FrieslandCampina, 3818 LA Amersfoort, The Netherlands
| | - Hauke Smidt
- Laboratory of Microbiology, Wageningen University & Research, 6700 EH Wageningen, The Netherlands; (C.B.); (H.S.)
| |
Collapse
|
37
|
Giron M, Thomas M, Dardevet D, Chassard C, Savary-Auzeloux I. Gut microbes and muscle function: can probiotics make our muscles stronger? J Cachexia Sarcopenia Muscle 2022; 13:1460-1476. [PMID: 35278043 PMCID: PMC9178375 DOI: 10.1002/jcsm.12964] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/07/2022] [Accepted: 02/03/2022] [Indexed: 12/20/2022] Open
Abstract
Evidence suggests that gut microbiota composition and diversity can be a determinant of skeletal muscle metabolism and functionality. This is true in catabolic (sarcopenia and cachexia) or anabolic (exercise or in athletes) situations. As gut microbiota is known to be causal in the development and worsening of metabolic dysregulation phenotypes such as obesity or insulin resistance, it can regulate, at least partially, skeletal muscle mass and function. Skeletal muscles are physiologically far from the gut. Signals generated by the gut due to its interaction with the gut microbiome (microbial metabolites, gut peptides, lipopolysaccharides, and interleukins) constitute links between gut microbiota activity and skeletal muscle and regulate muscle functionality via modulation of systemic/tissue inflammation as well as insulin sensitivity. The probiotics able to limit sarcopenia and cachexia or promote health performances in rodents are mainly lactic acid bacteria and bifidobacteria. In humans, the same bacteria have been tested, but the scarcity of the studies, the variability of the populations, and the difficulty to measure accurately and with high reproducibility muscle mass and function have not allowed to highlight specific strains able to optimize muscle mass and function. Further studies are required on more defined population, in order to design personalized nutrition. For elderly, testing the efficiency of probiotics according to the degree of frailty, nutritional state, or degree of sarcopenia before supplementation is essential. For exercise, selection of probiotics capable to be efficient in recreational and/or elite athletes, resistance, and/or endurance exercise would also require further attention. Ultimately, a combination of strategies capable to optimize muscle functionality, including bacteria (new microbes, bacterial ecosystems, or mix, more prone to colonize a specific gut ecosystem) associated with prebiotics and other 'traditional' supplements known to stimulate muscle anabolism (e.g. proteins), could be the best way to preserve muscle functionality in healthy individuals at all ages or patients.
Collapse
Affiliation(s)
- Muriel Giron
- Université Clermont Auvergne, INRAE, UNH, Clermont-Ferrand, France.,Université Paris-Saclay, INRAE UMR1319, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.,INRAE UMR0545, Unité Mixte de Recherche sur le Fromage, Aurillac, France
| | - Muriel Thomas
- Université Paris-Saclay, INRAE UMR1319, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
| | | | | | | |
Collapse
|
38
|
Nkera-Gutabara CK, Kerr R, Scholefield J, Hazelhurst S, Naidoo J. Microbiomics: The Next Pillar of Precision Medicine and Its Role in African Healthcare. Front Genet 2022; 13:869610. [PMID: 35480328 PMCID: PMC9037082 DOI: 10.3389/fgene.2022.869610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/04/2022] [Indexed: 11/26/2022] Open
Abstract
Limited access to technologies that support early monitoring of disease risk and a poor understanding of the geographically unique biological and environmental factors underlying disease, represent significant barriers to improved health outcomes and precision medicine efforts in low to middle income countries. These challenges are further compounded by the rich genetic diversity harboured within Southern Africa thus necessitating alternative strategies for the prediction of disease risk and clinical outcomes in regions where accessibility to personalized healthcare remains limited. The human microbiome refers to the community of microorganisms (bacteria, archaea, fungi and viruses) that co-inhabit the human body. Perturbation of the natural balance of the gut microbiome has been associated with a number of human pathologies, and the microbiome has recently emerged as a critical determinant of drug pharmacokinetics and immunomodulation. The human microbiome should therefore not be omitted from any comprehensive effort towards stratified healthcare and would provide an invaluable and orthogonal approach to existing precision medicine strategies. Recent studies have highlighted the overarching effect of geography on gut microbial diversity as it relates to human health. Health insights from international microbiome datasets are however not yet verified in context of the vast geographical diversity that exists throughout the African continent. In this commentary we discuss microbiome research in Africa and its role in future precision medicine initiatives across the African continent.
Collapse
Affiliation(s)
- C K Nkera-Gutabara
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Bioengineering and Integrated Genomics Research Group, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa.,Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - R Kerr
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - J Scholefield
- Bioengineering and Integrated Genomics Research Group, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa
| | - S Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - J Naidoo
- Bioengineering and Integrated Genomics Research Group, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa
| |
Collapse
|
39
|
Wang Y, Gao X, Lv J, Zeng Y, Li Q, Wang L, Zhang Y, Gao W, Wang J. Gut Microbiome Signature Are Correlated With Bone Mineral Density Alterations in the Chinese Elders. Front Cell Infect Microbiol 2022; 12:827575. [PMID: 35433497 PMCID: PMC9008261 DOI: 10.3389/fcimb.2022.827575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/10/2022] [Indexed: 01/03/2023] Open
Abstract
Objective Osteoporosis (OP), clinically featured with a low bone mineral density (BMD) and high risk of bone fracture, has become a major risk factor of disability and death in the elders, especially in postmenopausal women. The gut microbiome (GM) is thought to be implicated in bone metabolism. Herein, we clarified the composition signature and gene functional profile of GM in older people with normal and low BMD. Design and Methods A total of 455 participants underwent the BMD measurement and biochemical detection. GM analysis was further performed on 113 cases of postmenopausal women and men aged over 50, including both 16S rRNA and metagenomic sequencing. Results Generally, the BMD value was significantly lower in the older age groups, especially in the postmenopausal women. Consistently, we observed obvious vitamin D deficiency or insufficiency in females (compared to the male, P < 0.0001). The results from 16S rRNA sequencing revealed higher numbers of OTUs and diversity indexes in females than in males. The abundance in composition of Firmicutes and Clostridiales were correlated with the BMD values in females. LEfSe analysis discovered several enriched bacteria taxons in OP and normal control (NC) subgroups. A positive correlation between the number of genes and BMD values was observed in females based on metagenomic sequencing analysis. Furthermore, we identified the connecting modules among the GM composition – gene functional signature – BMD value/T score in both females and males. Conclusions This study provides evidences upon which to understand the mechanisms of the effects of GM on bone health, consequently revealing the physiology status and potential diagnostic/therapeutic targets based on GM for OP and postmenopausal osteoporosis (PMOP). Besides, the status of vitamin D deficiency or insufficiency need to be concerned and improved in the Chinese people.
Collapse
Affiliation(s)
- Yangyang Wang
- School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
| | - Xiaoguang Gao
- School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
| | - Jing Lv
- Clinical Laboratory of Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Yuhong Zeng
- Department of Osteoporosis, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Qingmei Li
- Department of Osteoporosis, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Liping Wang
- Department of Cardiology, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Yuanyuan Zhang
- Department of Cardiology, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Wenjie Gao
- Department of Spine Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- *Correspondence: Wenjie Gao, ; Jihan Wang,
| | - Jihan Wang
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- *Correspondence: Wenjie Gao, ; Jihan Wang,
| |
Collapse
|
40
|
Ratiner K, Abdeen SK, Goldenberg K, Elinav E. Utilization of Host and Microbiome Features in Determination of Biological Aging. Microorganisms 2022; 10:microorganisms10030668. [PMID: 35336242 PMCID: PMC8950177 DOI: 10.3390/microorganisms10030668] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/08/2022] [Accepted: 03/18/2022] [Indexed: 12/13/2022] Open
Abstract
The term ‘old age’ generally refers to a period characterized by profound changes in human physiological functions and susceptibility to disease that accompanies the final years of a person’s life. Despite the conventional definition of old age as exceeding the age of 65 years old, quantifying aging as a function of life years does not necessarily reflect how the human body ages. In contrast, characterizing biological (or physiological) aging based on functional parameters may better reflect a person’s temporal physiological status and associated disease susceptibility state. As such, differentiating ‘chronological aging’ from ‘biological aging’ holds the key to identifying individuals featuring accelerated aging processes despite having a young chronological age and stratifying them to tailored surveillance, diagnosis, prevention, and treatment. Emerging evidence suggests that the gut microbiome changes along with physiological aging and may play a pivotal role in a variety of age-related diseases, in a manner that does not necessarily correlate with chronological age. Harnessing of individualized gut microbiome data and integration of host and microbiome parameters using artificial intelligence and machine learning pipelines may enable us to more accurately define aging clocks. Such holobiont-based estimates of a person’s physiological age may facilitate prediction of age-related physiological status and risk of development of age-associated diseases.
Collapse
Affiliation(s)
- Karina Ratiner
- Immunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel; (K.R.); (S.K.A.); (K.G.)
| | - Suhaib K. Abdeen
- Immunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel; (K.R.); (S.K.A.); (K.G.)
| | - Kim Goldenberg
- Immunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel; (K.R.); (S.K.A.); (K.G.)
| | - Eran Elinav
- Immunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel; (K.R.); (S.K.A.); (K.G.)
- Division of Cancer-Microbiome Research, Deutsches Krebsforschungszentrum (DKFZ), Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Correspondence:
| |
Collapse
|
41
|
Wang X, Lu S, Fang Z, Wang H, Zhu J, Zhao J, Zhang H, Hong K, Lu W, Chen W. A recommended amount of hydrolyzed protein improves physiological function by regulating gut microbiota in aged mice. Food Res Int 2022; 154:110970. [DOI: 10.1016/j.foodres.2022.110970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/13/2022] [Accepted: 01/26/2022] [Indexed: 11/04/2022]
|
42
|
Theabrownin modulates the gut microbiome and serum metabolome in aging mice induced by D-galactose. J Funct Foods 2022. [DOI: 10.1016/j.jff.2022.104941] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
|
43
|
Effectiveness of Multistrain Probiotic Formulation on Common Infectious Disease Symptoms and Gut Microbiota Modulation in Flu-Vaccinated Healthy Elderly Subjects. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3860896. [PMID: 35127941 PMCID: PMC8814717 DOI: 10.1155/2022/3860896] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/16/2021] [Indexed: 11/17/2022]
Abstract
The decline of the immune system with aging leads elderly people to be more susceptible to infections, posing high risk for their health. Vaccination is thus important to cope with this risk, even though not always effective. As a strategy to improve protection, adjuvants are used in concomitance with vaccines, however, occasionally producing important side effects. The use of probiotics has been proposed as an alternative to adjuvants due to their efficacy in reducing the risk of common infections through the interactions with the immune system and the gut microbiota. A placebo-controlled, randomized, double-blind, clinical trial was carried out on fifty elderly subjects, vaccinated for influenza, to determine the efficacy of a probiotic mixture in reducing common infection symptoms. The incidence of symptoms was evaluated after 28 days of probiotic intake (namely, T28) and after further 28 days of follow-up (namely, T56). The number of subjects, as well as the number of days with symptoms, was remarkably reduced at T28, and even more at T56 in the probiotic group. Furthermore, the influence of probiotics on immunological parameters was investigated, showing a significant positive improvement of total antioxidant capacity and β-defensin2 levels. Finally, faecal samples collected from participants were used to assess variations in the gut microbiota composition during the study, showing that probiotic intake enhanced the presence of genera related to a healthy status. Therefore, the collected results suggested that the treatment with the selected probiotic mixture could help in reducing common infectious disease symptom incidence through the stimulation of the immune system, improving vaccine efficacy, and modulating the composition of the resident gut microbiota by enhancing beneficial genera.
Collapse
|
44
|
Hunt NJ, McCourt PAG, Kuncic Z, Le Couteur DG, Cogger VC. Opportunities and Challenges for Nanotherapeutics for the Aging Population. FRONTIERS IN NANOTECHNOLOGY 2022. [DOI: 10.3389/fnano.2022.832524] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Nanotherapeutics utilize the properties of nanomaterials to alter the pharmacology of the drugs and therapies being transported, leading to changes in their biological disposition (absorption, distribution, cellular uptake, metabolism and elimination) and ultimately, their pharmacological effect. This provides an opportunity to optimize the pharmacology of drugs, particularly for those that are dependent on hepatic action. Old age is associated with changes in many pharmacokinetic processes which tend to impair drug efficacy and increase risk of toxicity. While these age-related changes are drug-specific they could be directly addressed using nanotechnology and precision targeting. The benefits of nanotherapeutics needs to be balanced against toxicity, with future use in humans dependent upon the gathering of information about the clearance and long-term safety of nanomaterials.
Collapse
|
45
|
Junca H, Pieper DH, Medina E. The emerging potential of microbiome transplantation on human health interventions. Comput Struct Biotechnol J 2022; 20:615-627. [PMID: 35140882 PMCID: PMC8801967 DOI: 10.1016/j.csbj.2022.01.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/06/2022] [Accepted: 01/08/2022] [Indexed: 02/08/2023] Open
Abstract
The human microbiome has been the subject of intense research over the past few decades, in particular as a promising area for new clinical interventions. The microbiota colonizing the different body surfaces are of benefit for multiple physiological and metabolic processes of the human host and increasing evidence suggests an association between disturbances in the composition and functionality of the microbiota and several pathological conditions. This has provided a rationale for beneficial modulation of the microbiome. One approach being explored for modulating the microbiota in diseased individuals is transferring microbiota or microbiota constituents from healthy donors via microbiome transplantation. The great success of fecal microbiome transplantation for the treatment of Clostridioides difficile infections has encouraged the application of this procedure for the treatment of other diseases such as vaginal disorders via transplantation of vaginal microbiota, or of skin pathologies via the transplantation of skin microbiota. Microbiome modulation could even become a novel strategy for improving the efficacy of cancer therapies. This review discusses the principle, advantages and limitations of microbiome transplantation as well as different clinical contexts where microbiome transplantation has been applied.
Collapse
Affiliation(s)
- Howard Junca
- Microbial Interactions and Processes Research Group, Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Germany
| | - Dietmar H. Pieper
- Microbial Interactions and Processes Research Group, Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Germany
| | - Eva Medina
- Infection Immunology Research Group, Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Germany
| |
Collapse
|
46
|
Scheithauer TPM, Bakker GJ, Winkelmeijer M, Davids M, Nieuwdorp M, van Raalte DH, Herrema H. Compensatory intestinal immunoglobulin response after vancomycin treatment in humans. Gut Microbes 2022; 13:1-14. [PMID: 33475461 PMCID: PMC7833805 DOI: 10.1080/19490976.2021.1875109] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Intestinal immunoglobulins (Ig) are abundantly secreted antibodies that bind bacteria and bacterial components in the gut. This binding is considered to accelerate bacterial transit time and prevent the interaction of potentially immunogenic compounds with intestinal immune cells. Ig secretion is regulated by alterations in gut microbiome composition, an event rarely mapped in an intervention setting in humans. Here, we determined the intestinal and systemic Ig response to a major intervention in gut microbiome composition. Healthy humans and humans with metabolic syndrome received oral vancomycin 500 mg four times per day for 7 days. Coinciding with a vancomycin-induced increase in Gram-negative bacteria, fecal levels of the immunogenic bacterial components lipopolysaccharide (LPS) and flagellin drastically increased. Intestinal antibodies (IgA and IgM) significantly increased, whereas peripheral antibodies (IgG, IgA, and IgM) were mostly unaffected by vancomycin treatment. Bacterial cell sorting followed by 16S rRNA sequencing revealed that the majority of Gram-negative bacteria, including opportunistic pathogens, were IgA-coated after the intervention. We suggest that the intestinal Ig response after vancomycin treatment prevents the intrusion of pathogens and bacterial components into systemic sites.
Collapse
Affiliation(s)
- Torsten P. M. Scheithauer
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands,Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Location VUmc at Vrije Universiteit Amsterdam, Amsterdam, The Netherlands,CONTACT Torsten P. M. Scheithauer Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, Room G1-115, Amsterdam1105 AZ, The Netherlands
| | - Guido J. Bakker
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands
| | - Maaike Winkelmeijer
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands
| | - Mark Davids
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands,Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Location VUmc at Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Daniël H. van Raalte
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands,Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Location VUmc at Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hilde Herrema
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC at University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
47
|
Schütte K, Schulz C, Vilchez-Vargas R, Vasapolli R, Palm F, Simon B, Schomburg D, Lux A, Geffers R, Pieper DH, Link A, Malfertheiner P. Impact of healthy aging on active bacterial assemblages throughout the gastrointestinal tract. Gut Microbes 2022; 13:1966261. [PMID: 34455919 PMCID: PMC8409759 DOI: 10.1080/19490976.2021.1966261] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The adaption of gut microbiota (GM) throughout human life is a key factor in maintaining health. Interventions to restore a healthy GM composition may have the potential to improve health and disease outcomes in the elderly. We performed a comprehensive characterization of changes in the luminal and mucosa-associated microbiota composition in elderly compared with younger healthy individuals. Samples from saliva and feces, and biopsies from the upper and lower gastrointestinal tract (UGIT, LGIT), were collected from 59 asymptomatic individuals grouped by age: 40-55, 56-70, and 71-85 years). All underwent anthropometric, geriatric, and nutritional assessment. RNA was extracted and reverse-transcribed into complementary DNA; the V1-V2 regions of 16S ribosomal RNA genes were amplified and sequenced. Abundances of the taxa in all taxonomic ranks in each sample type were used to construct sample-similarity matrices by the Bray-Curtis algorithm. Significant differences between defined groups were assessed by analysis of similarity. The bacterial community showed strong interindividual variations and a clear distinction between samples from UGIT, LGIT, and feces. While in saliva some taxa were affected by aging, this number was considerably greater in UGIT and was subsequently higher in LGIT. Unexpectedly, aging scarcely influenced the bacterial community of feces over the age range of 40-85 years. The development of interventions to preserve and restore human health with increased age by establishing a healthy gut microbiome should not rely solely on data from fecal analysis, as the intestinal mucosa is affected by more significant changes, which differ from those observed in fecal analyses.
Collapse
Affiliation(s)
- Kerstin Schütte
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany,Department of Internal Medicine and Gastroenterology, Niels-Stensen-Kliniken Marienhospital Osnabrück, Bischofsstr. 1, Osnabrück, Germany
| | - Christian Schulz
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany,Department of Internal Medicine 2, University Hospital, Munich, Germany
| | - Ramiro Vilchez-Vargas
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Riccardo Vasapolli
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany,Department of Internal Medicine 2, University Hospital, Munich, Germany
| | - Frederike Palm
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Bianca Simon
- Department of Internal Medicine and Gastroenterology, Niels-Stensen-Kliniken Marienhospital Osnabrück, Bischofsstr. 1, Osnabrück, Germany
| | - Dirk Schomburg
- Institute of Biometry and Medical Informatics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Anke Lux
- Institute of Biometry and Medical Informatics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Robert Geffers
- GMAK Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Dietmar H. Pieper
- Microbial Interactions and Processes (MINP) Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Alexander Link
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Peter Malfertheiner
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany,Department of Internal Medicine 2, University Hospital, Munich, Germany,CONTACT Peter Malfertheiner Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Hospital, 39120Magdeburg, Germany
| |
Collapse
|
48
|
Haimov I, Magzal F, Tamir S, Lalzar M, Asraf K, Milman U, Agmon M, Shochat T. Variation in Gut Microbiota Composition is Associated with Sleep Quality and Cognitive Performance in Older Adults with Insomnia. Nat Sci Sleep 2022; 14:1753-1767. [PMID: 36225322 PMCID: PMC9550024 DOI: 10.2147/nss.s377114] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/30/2022] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Insomnia, a chronic condition affecting 50% of older adults, is often accompanied by cognitive decline. The mechanism underlying this comorbidity is not fully understood. A growing literature suggests the importance of gut microbiota for brain function. We tested associations between sleep quality and cognitive performance with gut microbiota in older adults with insomnia. PATIENTS AND METHODS Seventy-two older adults with insomnia (age 73.2 ± 5.73 years, 56 females) provided stool samples for gut microbial sequencing. Microbiota profile was determined using the DADA2 bioinformatics pipeline. Cognition was assessed with the Cambridge Neuropsychological Test Automated Battery. Objective sleep quality was monitored by a two-week actigraphic recording, and participants completed the Insomnia Severity Index (ISI). We used partial canonical correspondence analysis (pCCA) to examine the relative contribution of insomnia, based on actigraphic sleep efficiency (SE) and ISI, and of cognitive status, based on the Multitasking test of Median Reaction Latency (MTTLMD) and the Spatial Working Memory Between Errors (SWMBE), to variance in microbiota composition. We used Pearson correlations to correlate insomnia and cognitive status parameters with microbiota amplicon sequence variants, genera, and families. RESULTS The pCCA revealed that sleep quality and cognitive performance explained a variation of 7.5-7.9% in gut microbiota composition in older adults with insomnia. Correlation analysis demonstrated that Lachnoclostridium (genus) correlates positively with SE (r=0.42; P=0.05) and negatively with MTTLMD (r=-0.29; P=0.03), whereas Blautia (genus) correlates negatively with MTTLMD (r=-0.31; P=0.01). CONCLUSION Findings demonstrate the associations of sleep quality and cognitive performance with variance in gut microbiota composition and with specific genus abundance in older adults with insomnia. Further studies should validate the findings, determine causal relationships, and evaluate potential interventions for the comorbidity of insomnia and cognitive impairment in older adults with insomnia.
Collapse
Affiliation(s)
- Iris Haimov
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Yezreel Valley, Israel
| | - Faiga Magzal
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel.,Nutritional Science Department, Tel Hai College, Kiryat Shmona, Israel
| | - Snait Tamir
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel.,Nutritional Science Department, Tel Hai College, Kiryat Shmona, Israel
| | - Maya Lalzar
- Bioinformatics Service Unit, University of Haifa, Haifa, Israel
| | - Kfir Asraf
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Yezreel Valley, Israel
| | - Uzi Milman
- Clinical Research Unit, Clalit Health Services, Haifa, Israel
| | - Maayan Agmon
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa, Israel
| | - Tamar Shochat
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa, Israel
| |
Collapse
|
49
|
Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, Chen X, Ding Y, Wu Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2021; 12:39. [PMID: 35053186 PMCID: PMC8773837 DOI: 10.3390/biom12010039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
Collapse
Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Juan Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Longyan Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Haixin Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Xuefeng Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| |
Collapse
|
50
|
Reinold J, Farahpour F, Fehring C, Dolff S, Konik M, Korth J, van Baal L, Hoffmann D, Buer J, Witzke O, Westendorf AM, Kehrmann J. A Pro-Inflammatory Gut Microbiome Characterizes SARS-CoV-2 Infected Patients and a Reduction in the Connectivity of an Anti-Inflammatory Bacterial Network Associates With Severe COVID-19. Front Cell Infect Microbiol 2021; 11:747816. [PMID: 34869058 PMCID: PMC8635721 DOI: 10.3389/fcimb.2021.747816] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/29/2021] [Indexed: 01/08/2023] Open
Abstract
The gut microbiota contributes to maintaining human health and regulating immune responses. Severe COVID-19 illness is associated with a dysregulated pro-inflammatory immune response. The effect of SARS-CoV-2 on altering the gut microbiome and the relevance of the gut microbiome on COVID-19 severity needs to be clarified. In this prospective study, we analyzed the gut microbiome of 212 patients of a tertiary care hospital (117 patients infected with SARS-CoV-2 and 95 SARS-CoV-2 negative patients) using 16S rRNA gene sequencing of the V3-V4 region. Inflammatory markers and immune cells were quantified from blood. The gut microbiome in SARS-CoV-2 infected patients was characterized by a lower bacterial richness and distinct differences in the gut microbiome composition, including an enrichment of the phyla Proteobacteria and Bacteroidetes and a decrease of Actinobacteria compared to SARS-CoV-2 negative patients. The relative abundance of several genera including Bifidobacterium, Streptococcus and Collinsella was lower in SARS-CoV-2 positive patients while the abundance of Bacteroides and Enterobacteriaceae was increased. Higher pro-inflammatory blood markers and a lower CD8+ T cell number characterized patients with severe COVID-19 illness. The gut microbiome of patients with severe/critical COVID-19 exhibited a lower abundance of butyrate-producing genera Faecalibacterium and Roseburia and a reduction in the connectivity of a distinct network of anti-inflammatory genera that was observed in patients with mild COVID-19 illness and in SARS-CoV-2 negative patients. Dysbiosis of the gut microbiome associated with a pro-inflammatory signature may contribute to the hyperinflammatory immune response characterizing severe COVID-19 illness.
Collapse
Affiliation(s)
- Johanna Reinold
- Department of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Farnoush Farahpour
- Bioinformatics and Computational Biophysics, University Duisburg-Essen, Essen, Germany
| | - Christian Fehring
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sebastian Dolff
- Department of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Margarethe Konik
- Department of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Johannes Korth
- Department of Nephrology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lukas van Baal
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Daniel Hoffmann
- Bioinformatics and Computational Biophysics, University Duisburg-Essen, Essen, Germany
| | - Jan Buer
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Oliver Witzke
- Department of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Astrid M Westendorf
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Jan Kehrmann
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| |
Collapse
|