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6 results on '"Kiddle, Steven J."'

1. Circulating Proteomic Signatures of Chronological Age.

Author

Menni C, Kiddle SJ, Mangino M, Viñuela A, Psatha M, Steves C, Sattlecker M, Buil A, Newhouse S, Nelson S, Williams S, Voyle N, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Spector TD, Dobson R, and Valdes AM

Subjects
Adult, Aged, Aged, 80 and over, Biomarkers blood, Carrier Proteins blood, Cohort Studies, Cytokines blood, Eye Proteins blood, Female, Humans, Insulin-Like Growth Factor Binding Protein 6 blood, Male, Matrix Metalloproteinase 12 blood, Middle Aged, Nerve Tissue Proteins blood, Phenotype, Twins, United Kingdom, Aging blood, Proteomics, Registries
Abstract

To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(-46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(-41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(-5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging., (© The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Published
2015
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2. Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer's disease
.

Author

Hampel, Harald, Vergallo, Andrea, Afshar, Mohammad, Akman-Anderson, Leyla, Arenas, Joaquín, Benda, Norbert, Batrla, Richard, Broich, Karl, Caraci, Filippo, Cuello, A Claudio, Emanuele, Enzo, Haberkamp, Marion, Kiddle, Steven J, Lucía, Alejandro, Mapstone, Mark, Verdooner, Steven R, Woodcock, Janet, and Lista, Simone

Subjects
Humans, Alzheimer Disease, Early Diagnosis, Eligibility Determination, Clinical Trials as Topic, Biomarkers, Precision Medicine, Drug Development, Alzheimer’s disease, biomarker-drug codevelopment, blood-based biomarker, clinical trial, context of use, pathophysiology, precision medicine, predictive biomarker, systems biology, Alzheimer's disease, Clinical Research, Clinical Trials and Supportive Activities, Aging, Acquired Cognitive Impairment, Brain Disorders, Alzheimer's Disease, Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias, Neurodegenerative, Dementia, Neurosciences, 4.1 Discovery and preclinical testing of markers and technologies, 5.1 Pharmaceuticals, Other Medical and Health Sciences, Psychiatry
Abstract

Alzheimer's disease (AD)-a complex disease showing multiple pathomechanistic alterations-is triggered by nonlinear dynamic interactions of genetic/epigenetic and environmental risk factors, which, ultimately, converge into a biologically heterogeneous disease. To tackle the burden of AD during early preclinical stages, accessible blood-based biomarkers are currently being developed. Specifically, next-generation clinical trials are expected to integrate positive and negative predictive blood-based biomarkers into study designs to evaluate, at the individual level, target druggability and potential drug resistance mechanisms. In this scenario, systems biology holds promise to accelerate validation and qualification for clinical trial contexts of use-including proof-of-mechanism, patient selection, assessment of treatment efficacy and safety rates, and prognostic evaluation. Albeit in their infancy, systems biology-based approaches are poised to identify relevant AD "signatures" through multifactorial and interindividual variability, allowing us to decipher disease pathophysiology and etiology. Hopefully, innovative biomarker-drug codevelopment strategies will be the road ahead towards effective disease-modifying drugs.
.

Published
2019

3. Blood protein predictors of brain amyloid for enrichment in clinical trials?

Author

Ashton, Nicholas J, Kiddle, Steven J, Graf, John, Ward, Malcolm, Baird, Alison L, Hye, Abdul, Westwood, Sarah, Wong, Karyuan Vivian, Dobson, Richard J, Rabinovici, Gil D, Miller, Bruce L, Rosen, Howard J, Torres, Andrew, Zhang, Zhanpan, Thurfjell, Lennart, Covin, Antonia, Hehir, Cristina Tan, Baker, David, Bazenet, Chantal, Lovestone, Simon, and AIBL Research Group

Subjects
AIBL Research Group, Alzheimer's disease, Biomarker, Clinical trials, Fibrinogen γ-chain, Plasma, Proteomics, β amyloid, Clinical Trials and Supportive Activities, Brain Disorders, Prevention, Dementia, Neurosciences, Aging, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Acquired Cognitive Impairment, Clinical Research, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Genetics
Abstract

BackgroundMeasures of neocortical amyloid burden (NAB) identify individuals who are at substantially greater risk of developing Alzheimer's disease (AD). Blood-based biomarkers predicting NAB would have great utility for the enrichment of AD clinical trials, including large-scale prevention trials.MethodsNontargeted proteomic discovery was applied to 78 subjects from the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing with a range of NAB values. Technical and independent replications were performed by immunoassay.ResultsSeventeen discovery candidates were selected for technical replication. α2-Macroglobulin, fibrinogen γ-chain (FGG), and complement factor H-related protein 1 were confirmed to be associated with NAB. In an independent cohort, FGG plasma levels combined with age predicted NAB had a sensitivity of 59% and specificity of 78%.ConclusionA single blood protein, FGG, combined with age, was shown to relate to NAB and therefore could have potential for enrichment of clinical trial populations.

Published
2015

4. MiRNA-15b and miRNA-125b are associated with regional Aβ-PET and FDG-PET uptake in cognitively normal individuals with subjective memory complaints

Author

Vergallo, Andrea, Lista, Simone, group, INSIGHT-preAD study, Lucía, Alejandro, Mango, Dalila, Mapstone, Mark, Neri, Christian, Nisticò, Robert, O'Bryant, Sid E, Palermo, Giovanni, Perry, George, Ritchie, Craig, Rossi, Simone, Initiative, Alzheimer Precision Medicine, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S, Sporns, Olaf, Toschi, Nicola, Valenzuela, Pedro L, Vellas, Bruno, Verdooner, Steven R, Villain, Nicolas, Giudici, Kelly Virecoulon, Bakardjian, Hovagim, Watling, Mark, Welikovitch, Lindsay A, Woodcock, Janet, Younesi, Erfan, Zugaza, José L, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Zhao, Yuhai, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lemercier, Pablo, Lamari, Foudil, Levy, Marcel, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Teipel, Stefan J, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, de Schotten, Michel Thiebaut, Younsi, Nadjia, Afshar, Mohammad, Aguilar, Lisi Flores, Akman-Anderson, Leyla, Arenas, Joaquín, Ávila, Jesús, Babiloni, Claudio, Baldacci, Filippo, Batrla, Richard, Benda, Norbert, Black, Keith L, Bokde, Arun L W, Bonuccelli, Ubaldo, Broich, Karl, Cacciola, Francesco, Caraci, Filippo, Caruso, Giuseppe, Castrillo, Juan, Ceravolo, Roberto, Chiesa, Patrizia A, Corbo, Massimo, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L, Depypere, Herman, Duggento, Andrea, Emanuele, Enzo, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A, Garaci, Francesco, Lukiw, Walter J, Geerts, Hugo, Giacobini, Ezio, Giorgi, Filippo S, Goetzl, Edward J, Graziani, Manuela, Haberkamp, Marion, Hänisch, Britta, Herholz, Karl, Hernandez, Felix, Imbimbo, Bruno P, Kapogiannis, Dimitrios, Karran, Eric, Kiddle, Steven J, Kim, Seung H, Koronyo, Yosef, Koronyo-Hamaoui, Maya, Langevin, Todd, Lehéricy, Stéphane, Llavero, Francisco, Lorenceau, Jean, Ministre de l'Enseignement Supérieur, de la Recherche et de l'Innovation (France), Sorbonne Université, AXA Research Fund, Fondation partenariale, Fondation pour la Recherche sur Alzheimer, Investissement d’Avenir French program, Vergallo, Andrea [0000-0002-0208-6384], Apollo - University of Cambridge Repository, Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Louisiana State University (LSU), University of Rostock, Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CATI Multicenter Neuroimaging Platform (CATI), Service de médecine nucléaire [CHU Pitié-Salpétrière], Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Department of Psychiatry, Psychosomatic Medicine and Psychotherapy [Goethe Universität], Goethe-Universität Frankfurt am Main, HAL-SU, Gestionnaire, Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 APM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Service de Médecine nucléaire [CHU Pitié-Salpétrière], Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Groupe de recherche clinique Alzheimer Precision Medicine (GRC 21 - APM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)

Subjects
Apolipoprotein E, Aging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Disease, miRNAs plasma concentrations, Alzheimer's Disease, amyloid-β (Aβ)-positron emission tomography (Aβ-PET), Prognostic markers, 0302 clinical medicine, Medicine, Psychology, Aetiology, education.field_of_study, MicroARNs, Settore FIS/07, amyloid, Brain, Pathophysiology, ALZHEIMERS-DISEASE, Psychiatry and Mental health, Alzheimer's disease (AD), Public Health and Health Services, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], MiRNA, medicine.medical_specialty, 18F-fluorodeoxyglucose-PET (18F-FDG-PET), BIOMARKERS, Neurociencias, Clinical Sciences, Molecular neuroscience, Predictive markers, Article, VESICLES, lcsh:RC321-571, 03 medical and health sciences, Memory, Clinical Research, Alzheimer Disease, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], microRNA, Genetics, Humans, education, Biological Psychiatry, Prevention, Memory, MiRNA, Alzheimer, biological markers, amyloid, 030104 developmental biology, Endocrinology, Cross-Sectional Studies, Positron-Emission Tomography, CELLS, Dementia, diagnostic imaging [Alzheimer Disease], INSIGHT-preAD study group, 030217 neurology & neurosurgery, [SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, 0301 basic medicine, genetics [Alzheimer Disease], Pilot Projects, Neurodegenerative, Medicine and Health Sciences, 2.1 Biological and endogenous factors, genetics [MicroRNAs], MIR-125B, screening and diagnosis, PLASMA, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Detection, Real-time polymerase chain reaction, Neurological, medicine.symptom, biological markers, Biotechnology, EXPRESSION, Population, metabolism [Amyloid beta-Peptides], Asymptomatic, Salud mental, Cellular and Molecular Neuroscience, ADULT, Fluorodeoxyglucose F18, Internal medicine, Acquired Cognitive Impairment, ddc:610, Allele, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, diagnostic imaging [Brain], Psiquiatría, Amyloid beta-Peptides, Enfermedad de alzheimer, business.industry, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Neurosciences, Alzheimer Precision Medicine Initiative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, MicroRNAs, metabolism [Brain], Alzheimer, business, Psychiatric disorders
Abstract

There is substantial experimental evidence for dysregulation of several microRNA (miRNA) expression levels in Alzheimer’s disease (AD). MiRNAs modulate critical brain intracellular signaling pathways and are associated with AD core pathophysiological mechanisms. First, we conducted a real-time quantitative PCR-based pilot study to identify a set of brain-enriched miRNAs in a monocentric cohort of cognitively normal individuals with subjective memory complaints, a condition associated with increased risk of AD. Second, we investigated the impact of age, sex, and the Apolipoprotein E ε4 (APOE ε4) allele, on the identified miRNA plasma concentrations. In addition, we explored the cross-sectional and longitudinal association of the miRNAs plasma concentrations with regional brain metabolic uptake using amyloid-β (Aβ)-positron emission tomography (Aβ-PET) and F-fluorodeoxyglucose-PET (F-FDG-PET). We identified a set of six brain-enriched miRNAs—miRNA-125b, miRNA-146a, miRNA-15b, miRNA-148a, miRNA-26b, and miRNA-100. Age, sex, and APOE ε4 allele were not associated with individual miRNA abundance. MiRNA-15b concentrations were significantly lower in the Aβ-PET-positive compared to Aβ-PET-negative individuals. Furthermore, we found a positive effect of the miRNA-15b*time interaction on regional metabolic F-FDG-PET uptake in the left hippocampus. Plasma miRNA-125b concentrations, as well as the miRNA-125b*time interaction (over a 2-year follow-up), were negatively associated with regional Aβ-PET standard uptake value ratio in the right anterior cingulate cortex. At baseline, we found a significantly negative association between plasma miRNA-125b concentrations and F-FDG-PET uptake in specific brain regions. In an asymptomatic at-risk population for AD, we show significant associations between plasma concentrations of miRNA-125b and miRNA-15b with core neuroimaging biomarkers of AD pathophysiology. Our results, coupled with existing experimental evidence, suggest a potential protective anti-Aβ effect of miRNA-15b and a biological link between miRNA-125b and Aβ-independent neurotoxic pathways., “Investissement d’Avenir” (ANR-10-AIHU-06) French program. The study was promoted in collaboration with the “CHU de Bordeaux” (coordination CIC EC7), the promoter of Memento cohort, funded by the Foundation Plan-Alzheimer. The study was further supported by AVID/Lilly. CATI is a French neuroimaging platform funded by the French Plan Alzheimer (available at http://cati-neuroimaging.com). A.V. is an employee of Eisai Inc. This work has been performed during his previous position at Sorbonne University, Paris, France. H.H. is an employee of Eisai Inc. This work has been performed during his previous position at Sorbonne University, Paris, France. At Sorbonne University he was supported by the AXA Research Fund, the “Fondation partenariale Sorbonne Université” and the “Fondation pour la Recherche sur Alzheimer

Published
2021

5. Alzheimer's disease: are blood and brain markers related? A systematic review

Author

Khan, Ali T, Dobson, Richard JB, Sattlecker, Martina, Kiddle, Steven J, Kiddle, Steven [0000-0003-4350-7437], and Apollo - University of Cambridge Repository

Subjects
Aging, Biomedical, FOS: Clinical medicine, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Alzheimer's Disease, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, Clinical Medicine and Science, Neurological, Acquired Cognitive Impairment, Dementia, 1109 Neurosciences, Research Articles, Research Article
Abstract

Objective Peripheral protein biomarkers of Alzheimer's disease (AD) may help identify novel treatment avenues by allowing early diagnosis, recruitment to clinical trials, and treatment initiation. The purpose of this review was to determine which proteins have been found to be differentially expressed in the AD brain and whether these proteins are also found within the blood of AD patients. Methods A two‐stage approach was conducted. The first stage involved conducting a systematic search to identify discovery‐based brain proteomic studies of AD. The second stage involved comparing whether proteins found to be differentially expressed in AD brain were also differentially expressed in the blood. Results Across 11 discovery based brain proteomic studies 371 proteins were at different levels in the AD brain. Nine proteins were frequently found, defined as appearing in at least three separate studies. Of these proteins heat‐shock cognate 71 kDa, ubiquitin carboxyl‐terminal hydrolase isozyme L1, and 2′,3′‐cyclic nucleotide 3′ phosphodiesterase alone were found to share a consistent direction of change, being consistently upregulated in studies they appeared in. Eighteen proteins seen as being differentially expressed within the AD brain were present in blood proteomic studies of AD. Only complement C4a was seen multiple times within both the blood and brain proteomic studies. Interpretation We report a number of proteins appearing in both the blood and brain of AD patients. Of these proteins, C4a may be a good candidate for further follow‐up in large‐scale replication efforts.

Published
2016

6. Circulating Proteomic Signatures of Chronological Age

Author

Menni, Cristina, Kiddle, Steven J, Mangino, Massimo, Viñuela, Ana, Psatha, Maria, Steves, Claire, Sattlecker, Martina, Buil, Alfonso, Newhouse, Stephen, Nelson, Sally, Williams, Stephen, Voyle, Nicola, Soininen, Hilkka, Kloszewska, Iwona, Mecocci, Patrizia, Tsolaki, Magda, Vellas, Bruno, Lovestone, Simon, Spector, Tim D, Dobson, Richard, and Valdes, Ana M

Subjects
Proteomics, Adult, Male, Aging, Twins, Nerve Tissue Proteins, Early development, Blood biomarkers, Aptamers, Cohort Studies, Matrix Metalloproteinase 12, Humans, Registries, Eye Proteins, Aged, Aged, 80 and over, Middle Aged, United Kingdom, 3. Good health, Phenotype, Cytokines, Female, Carrier Proteins, Nucleotide, Insulin-Like Growth Factor Binding Protein 6, Biomarkers
Abstract

To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(-46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(-41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(-5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging.

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