1
|
Soraci L, Corsonello A, Paparazzo E, Montesanto A, Piacenza F, Olivieri F, Gambuzza ME, Savedra EV, Marino S, Lattanzio F, Biscetti L. Neuroinflammaging: A Tight Line Between Normal Aging and Age-Related Neurodegenerative Disorders. Aging Dis 2024:AD.2023.1001. [PMID: 38300639 DOI: 10.14336/ad.2023.1001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/01/2023] [Indexed: 02/02/2024] Open
Abstract
Aging in the healthy brain is characterized by a low-grade, chronic, and sterile inflammatory process known as neuroinflammaging. This condition, mainly consisting in an up-regulation of the inflammatory response at the brain level, contributes to the pathogenesis of age-related neurodegenerative disorders. Development of this proinflammatory state involves the interaction between genetic and environmental factors, able to induce age-related epigenetic modifications. Indeed, the exposure to environmental compounds, drugs, and infections, can contribute to epigenetic modifications of DNA methylome, histone fold proteins, and nucleosome positioning, leading to epigenetic modulation of neuroinflammatory responses. Furthermore, some epigenetic modifiers, which combine and interact during the life course, can contribute to modeling of epigenome dynamics to sustain, or dampen the neuroinflammatory phenotype. The aim of this review is to summarize current knowledge about neuroinflammaging with a particular focus on epigenetic mechanisms underlying the onset and progression of neuroinflammatory cascades in the central nervous system; furthermore, we describe some diagnostic biomarkers that may contribute to increase diagnostic accuracy and help tailor therapeutic strategies in patients with neurodegenerative diseases.
Collapse
Affiliation(s)
- Luca Soraci
- Unit of Geriatric Medicine, Italian National Research Center of Aging (IRCCS INRCA), Cosenza, Italy
| | - Andrea Corsonello
- Unit of Geriatric Medicine, Italian National Research Center of Aging (IRCCS INRCA), Cosenza, Italy
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Ersilia Paparazzo
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Alberto Montesanto
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, Italian National Research Center of Aging (IRCCS INRCA), IRCCS INRCA, Ancona, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
- Clinic of Laboratory and Precision Medicine, Italian National Research Center of Aging (IRCCS INRCA), Ancona, Italy
| | | | | | - Silvia Marino
- IRCCS Centro Neurolesi "Bonino-Pulejo", Messina, Italy
| | | | - Leonardo Biscetti
- Section of Neurology, Italian National Research Center on Aging (IRCCS INRCA), Ancona, Italy
| |
Collapse
|
2
|
Li H, Wu S, Li J, Xiong Z, Yang K, Ye W, Ren J, Wang Q, Xiong M, Zheng Z, Zhang S, Han Z, Yang P, Jiang B, Ping J, Zuo Y, Lu X, Zhai Q, Yan H, Wang S, Ma S, Zhang B, Ye J, Qu J, Yang YG, Zhang F, Liu GH, Bao Y, Zhang W. HALL: a comprehensive database for human aging and longevity studies. Nucleic Acids Res 2024; 52:D909-D918. [PMID: 37870433 PMCID: PMC10767887 DOI: 10.1093/nar/gkad880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 10/24/2023] Open
Abstract
Diverse individuals age at different rates and display variable susceptibilities to tissue aging, functional decline and aging-related diseases. Centenarians, exemplifying extreme longevity, serve as models for healthy aging. The field of human aging and longevity research is rapidly advancing, garnering significant attention and accumulating substantial data in recent years. Omics technologies, encompassing phenomics, genomics, transcriptomics, proteomics, metabolomics and microbiomics, have provided multidimensional insights and revolutionized cohort-based investigations into human aging and longevity. Accumulated data, covering diverse cells, tissues and cohorts across the lifespan necessitates the establishment of an open and integrated database. Addressing this, we established the Human Aging and Longevity Landscape (HALL), a comprehensive multi-omics repository encompassing a diverse spectrum of human cohorts, spanning from young adults to centenarians. The core objective of HALL is to foster healthy aging by offering an extensive repository of information on biomarkers that gauge the trajectory of human aging. Moreover, the database facilitates the development of diagnostic tools for aging-related conditions and empowers targeted interventions to enhance longevity. HALL is publicly available at https://ngdc.cncb.ac.cn/hall/index.
Collapse
Affiliation(s)
- Hao 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
| | - Song Wu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, 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
| | - 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
| | - Zhuang Xiong
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350002, China
| | - Kuan Yang
- 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Weidong Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, 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
| | - Muzhao Xiong
- 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
| | - Zikai Zheng
- 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
| | - Shuo 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
| | - Zichu Han
- 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
| | - Peng Yang
- 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
| | - Beier Jiang
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Jiale Ping
- 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
| | - Yuesheng Zuo
- 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
| | - Xiaoyong Lu
- 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
| | - Qiaocheng Zhai
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Haoteng Yan
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Shuai Ma
- State Key Laboratory of Membrane 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
- Aging Biomarker Consortium, Beijing 100101, China
| | - Bing 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
| | - Jinlin Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, 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
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yun-Gui Yang
- 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Feng Zhang
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane 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
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, 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
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yiming Bao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, 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
| | - 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| |
Collapse
|
3
|
Sun L, Li Z, Hu C, Ding J, Zhou Q, Pang G, Wu Z, Yang R, Li S, Li J, Cai J, Sun Y, Li R, Zhen H, Sun S, Zhang J, Fang M, Chen Z, Lv Y, Cao Q, Sun Y, Gong R, Huang Z, Duan Y, Liu H, Dong J, Li J, Ruan J, Lu H, He B, Li N, Li T, Xue W, Li Y, Shen J, Yang F, Zhao C, Liang Q, Zhang M, Chen C, Gong H, Hou Y, Wang J, Zhang Y, Yang H, Zhu S, Xiao L, Jin Z, Guo H, Zhao P, Brix S, Xu X, Jia H, Kristiansen K, Yang Z, Nie C. Age-dependent changes in the gut microbiota and serum metabolome correlate with renal function and human aging. Aging Cell 2023; 22:e14028. [PMID: 38015106 PMCID: PMC10726799 DOI: 10.1111/acel.14028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/29/2023] Open
Abstract
Human aging is invariably accompanied by a decline in renal function, a process potentially exacerbated by uremic toxins originating from gut microbes. Based on a registered household Chinese Guangxi longevity cohort (n = 151), we conducted comprehensive profiling of the gut microbiota and serum metabolome of individuals from 22 to 111 years of age and validated the findings in two independent East Asian aging cohorts (Japan aging cohort n = 330, Yunnan aging cohort n = 80), identifying unique age-dependent differences in the microbiota and serum metabolome. We discovered that the influence of the gut microbiota on serum metabolites intensifies with advancing age. Furthermore, mediation analyses unveiled putative causal relationships between the gut microbiota (Escherichia coli, Odoribacter splanchnicus, and Desulfovibrio piger) and serum metabolite markers related to impaired renal function (p-cresol, N-phenylacetylglutamine, 2-oxindole, and 4-aminohippuric acid) and aging. The fecal microbiota transplantation experiment demonstrated that the feces of elderly individuals could influence markers related to impaired renal function in the serum. Our findings reveal novel links between age-dependent alterations in the gut microbiota and serum metabolite markers of impaired renal function, providing novel insights into the effects of microbiota-metabolite interplay on renal function and healthy aging.
Collapse
Affiliation(s)
- Liang Sun
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Zhiming Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
- State Key Laboratory of Genetic EngineeringCollaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan UniversityShanghaiChina
| | | | - Jiahong Ding
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Qi Zhou
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Zhu Wu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Ruiyue Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Shenghui Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and HealthChina Agricultural UniversityBeijingChina
| | - Jian Li
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jianping Cai
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yuzhe Sun
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Rui Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Hefu Zhen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Shuqin Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Jianmin Zhang
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Mingyan Fang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Zhihua Chen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yuan Lv
- Jiangbin HospitalNanningChina
| | - Qizhi Cao
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Yanan Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Ranhui Gong
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Zezhi Huang
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Hengshuo Liu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jun Dong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Junchun Li
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Jie Ruan
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Haorong Lu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | | | | | - Tao Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Wenbin Xue
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yan Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Juan Shen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Fan Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Cheng Zhao
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Mingrong Zhang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Chen Chen
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huan Gong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yong Hou
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Jian Wang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Ying Zhang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huanming Yang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Shida Zhu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI ResearchShenzhenChina
| | - Liang Xiao
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI ResearchShenzhenChina
| | - Zhen Jin
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Haiyun Guo
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Peng Zhao
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Susanne Brix
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Xun Xu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Huijue Jia
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Karsten Kristiansen
- BGI ResearchShenzhenChina
- Laboratory of Genomics and Molecular Biomedicine, Department of BiologyUniversity of CopenhagenCopenhagenDenmark
- Qingdao‐Europe Advanced Institute for Life SciencesQingdaoShandongChina
| | - Ze Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Chao Nie
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| |
Collapse
|
4
|
Cattaneo C, Urakcheeva I, Giacomini G, Stazi MA, Lana S, Arnofi A, Salemi M, Toccaceli V. Attitude and concerns of healthy individuals regarding post-mortem brain donation. A qualitative study on a nation-wide sample in Italy. BMC Med Ethics 2023; 24:104. [PMID: 38012766 PMCID: PMC10683267 DOI: 10.1186/s12910-023-00980-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Collecting post-mortem brain tissue is essential, especially from healthy "control" individuals, to advance knowledge on increasingly common neurological and mental disorders. Yet, healthy individuals, on which this study is focused, are still understudied. The aim of the study was to explore, among healthy potential brain donors and/or donors' relatives, attitude, concerns and opinion about post-mortem brain donation (PMBD). METHODS A convenience sampling of the general population (twins and their non-twin contacts) was adopted. From June 2018 to February 2019, 12 focus groups were conducted in four Italian cities: Milan, Turin, Rome and Naples, stratified according to twin and non-twin status. A qualitative content analysis was performed with both deductive and inductive approaches. Emotional interactions analysis corroborated results. RESULTS One hundred and three individuals (49-91 yrs of age) participated. Female were 60%. Participants had scarse knowledge regarding PMBD. Factors affecting attitude towards donation were: concerns, emotions, and misconceptions about donation and research. Religion, spirituality and secular attitude were implied, as well as trust towards research and medical institutions and a high degree of uncertainty about brain death ascertainment. Family had a very multifaceted central role in decision making. A previous experience with neurodegenerative diseases seems among factors able to favour brain donation. CONCLUSIONS The study sheds light on healthy individuals' attitudes about PMBD. Brain had a special significance for participants, and the ascertainment of brain death was a source of debate and doubt. Our findings emphasise the importance of targeted communication and thorough information to promote this kind of donation, within an ethical framework of conduct. Trust in research and health professionals emerged as an essential factor for a collaborative attitude towards donation and informed decision making in PMBD.
Collapse
Affiliation(s)
- Chiara Cattaneo
- National Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | | | - Gianmarco Giacomini
- Centre of Reference for Mental Health and Behavioural Sciences, Istituto Superiore di Sanità, Rome, Italy
- Department of Public Health Sciences, University of Turin, Turin, Italy
| | - Maria Antonietta Stazi
- Centre of Reference for Mental Health and Behavioural Sciences, Istituto Superiore di Sanità, Rome, Italy
| | - Susanna Lana
- National Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | - Antonio Arnofi
- Centre of Reference for Mental Health and Behavioural Sciences, Istituto Superiore di Sanità, Rome, Italy
| | - Miriam Salemi
- Centre of Reference for Mental Health and Behavioural Sciences, Istituto Superiore di Sanità, Rome, Italy
| | - Virgilia Toccaceli
- Centre of Reference for Mental Health and Behavioural Sciences, Istituto Superiore di Sanità, Rome, Italy.
| |
Collapse
|
5
|
Kapphan LM, Nguyen VTT, Heinrich I, Tüscher O, Passauer P, Schwiertz A, Endres K. Comparison of Frailty and Chronological Age as Determinants of the Murine Gut Microbiota in an Alzheimer's Disease Mouse Model. Microorganisms 2023; 11:2856. [PMID: 38138000 PMCID: PMC10745811 DOI: 10.3390/microorganisms11122856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
The ageing of an organism is associated with certain features of functional decline that can be assessed at the cellular level (e.g., reduced telomere length, loss of proteostasis, etc.), but also at the organismic level. Frailty is an independent syndrome that involves increased multidimensional age-related deficits, heightens vulnerability to stressors, and involves physical deficits in mainly the locomotor/muscular capacity, but also in physical appearance and cognition. For sporadic Alzheimer's disease, age per se is one of the most relevant risk factors, but frailty has also been associated with this disease. Therefore, we aimed to answer the two following questions within a cross-sectional study: (1) do Alzheimer's model mice show increased frailty, and (2) what changes of the microbiota occur concerning chronological age or frailty? Indeed, aged 5xFAD mice showed increased frailty compared to wild type littermates. In addition, 5xFAD mice had significantly lower quantities of Bacteroides spp. when only considering frailty, and lower levels of Bacteroidetes in terms of both frailty and chronological age compared to their wild type littermates. Thus, the quality of ageing-as assessed by frailty measures-should be taken into account to unravel potential changes in the gut microbial community in Alzheimer's disease.
Collapse
Affiliation(s)
- Laura Malina Kapphan
- Department of Psychiatry and Psychotherapy, University Medical Center Johannes Gutenberg-University Mainz, 55131 Mainz, Germany; (L.M.K.); (V.T.T.N.); (I.H.); (O.T.)
| | - Vu Thu Thuy Nguyen
- Department of Psychiatry and Psychotherapy, University Medical Center Johannes Gutenberg-University Mainz, 55131 Mainz, Germany; (L.M.K.); (V.T.T.N.); (I.H.); (O.T.)
| | - Isabel Heinrich
- Department of Psychiatry and Psychotherapy, University Medical Center Johannes Gutenberg-University Mainz, 55131 Mainz, Germany; (L.M.K.); (V.T.T.N.); (I.H.); (O.T.)
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center Johannes Gutenberg-University Mainz, 55131 Mainz, Germany; (L.M.K.); (V.T.T.N.); (I.H.); (O.T.)
| | - Pamela Passauer
- MVZ Institut für Mikroökologie GmbH, 35745 Herborn, Germany; (P.P.); (A.S.)
| | - Andreas Schwiertz
- MVZ Institut für Mikroökologie GmbH, 35745 Herborn, Germany; (P.P.); (A.S.)
| | - Kristina Endres
- Department of Psychiatry and Psychotherapy, University Medical Center Johannes Gutenberg-University Mainz, 55131 Mainz, Germany; (L.M.K.); (V.T.T.N.); (I.H.); (O.T.)
| |
Collapse
|
6
|
Cruces-Salguero S, Larrañaga I, Mar J, Matheu A. Descriptive and predictive analysis identify centenarians' characteristics from the Basque population. Front Public Health 2023; 10:1096837. [PMID: 36761329 PMCID: PMC9905795 DOI: 10.3389/fpubh.2022.1096837] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 12/22/2022] [Indexed: 01/26/2023] Open
Abstract
Background Centenarians exhibit extreme longevity and have been postulated, by some researchers, as a model for healthy aging. The identification of the characteristics of centenarians might be useful to understand the process of human aging. Methods In this retrospective study, we took advantage of demographic, clinical, biological, and functional data of deceased individuals between 2014 and 2020 in Guipúzcoa (Basque Country, Spain) taken from the Basque Health Service electronic health records data lake. Fifty characteristics derived from demographic, clinical, pharmaceutical, biological, and functional data were studied in the descriptive analysis and compared through differences in means tests. Twenty-seven of them were used to build machine learning models in the predictive analysis and their relevance for classifying centenarians was assessed. Results Most centenarians were women and lived in nursing homes. Importantly, they developed fewer diseases, took fewer drugs, and required fewer medical attendances. They also showed better biological profiles, exhibiting lower levels of glucose, hemoglobin, glycosylated hemoglobin, and triglycerides in blood analysis compared with non-centenarians. In addition, machine learning analyses revealed the main characteristics of the profiles associated with centenarians' status as being women, having fewer consultations, having fewer diagnoses of neoplasms, and having lower levels of hemoglobin. Conclusions Our results revealed the main characteristics linked to centenarians in the Basque Country using Computational Biology programs. These results expand the knowledge on the characterization of the centenarian population and hence of human longevity.
Collapse
Affiliation(s)
- Sara Cruces-Salguero
- Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain
| | - Igor Larrañaga
- Osakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain,Kronikgune Institute for Health Services Research, Barakaldo, Spain
| | - Javier Mar
- Osakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain,Kronikgune Institute for Health Services Research, Barakaldo, Spain,Epidemiology and Public Health Department, Biodonostia Health Research Institute, Donostia-San Sebastián, Guipúzcoa, Spain
| | - Ander Matheu
- Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain,IKERBASQUE, Basque Foundation for Science, Bilbao, Spain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento (CIBERfes), Carlos III Institute, Madrid, Spain,*Correspondence: Ander Matheu ✉
| |
Collapse
|
7
|
Cox MF, Hascup ER, Bartke A, Hascup KN. Friend or Foe? Defining the Role of Glutamate in Aging and Alzheimer’s Disease. Front Aging 2022; 3:929474. [PMID: 35821835 PMCID: PMC9261322 DOI: 10.3389/fragi.2022.929474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022]
Abstract
Aging is a naturally occurring decline of physiological processes and biological pathways that affects both the structural and functional integrity of the body and brain. These physiological changes reduce motor skills, executive function, memory recall, and processing speeds. Aging is also a major risk factor for multiple neurodegenerative disorders including Alzheimer’s disease (AD). Identifying a biomarker, or biomarkers, that signals the transition from physiological to pathological aging would aid in earlier therapeutic options or interventional strategies. Considering the importance of glutamate signaling in synaptic plasticity, motor movement, and cognition, this neurotransmitter serves as a juncture between cognitive health and disease. This article discusses glutamatergic signaling during physiological aging and the pathological changes observed in AD patients. Findings from studies in mouse models of successful aging and AD are reviewed and provide a biological context for this transition. Finally, current techniques to monitor brain glutamate are highlighted. These techniques may aid in elucidating time-point specific therapeutic windows to modify disease outcome.
Collapse
Affiliation(s)
- MaKayla F. Cox
- Dale and Deborah Smith Center for Alzheimer’s Research and Treatment, Department of Neurology, Neurosciences Institute, Southern Illinois University School of Medicine, Springfield, IL, United States
| | - Erin R. Hascup
- Dale and Deborah Smith Center for Alzheimer’s Research and Treatment, Department of Neurology, Neurosciences Institute, Southern Illinois University School of Medicine, Springfield, IL, United States
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, United States
| | - Andrzej Bartke
- Dale and Deborah Smith Center for Alzheimer’s Research and Treatment, Department of Neurology, Neurosciences Institute, Southern Illinois University School of Medicine, Springfield, IL, United States
- Department of Internal Medicine, Southern Illinois University School of Medicine, Springfield, IL, United States
- Department of Medical Microbiology, Immunology and Cell Biology, Southern Illinois University School of Medicine, Springfield, IL, United States
| | - Kevin N. Hascup
- Dale and Deborah Smith Center for Alzheimer’s Research and Treatment, Department of Neurology, Neurosciences Institute, Southern Illinois University School of Medicine, Springfield, IL, United States
- Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL, United States
- Department of Medical Microbiology, Immunology and Cell Biology, Southern Illinois University School of Medicine, Springfield, IL, United States
- *Correspondence: Kevin N. Hascup,
| |
Collapse
|