Report: NIA workshop on translating genetic variants associated with longevity into drug targets

To date, candidate gene and genome-wide association studies (GWAS) have led to the discovery of longevity-associated variants (LAVs) in genes such as FOXO3A and APOE. Unfortunately, translating variants into drug targets is challenging for any trait, and longevity is no exception. Interdisciplinary and integrative multi-omics approaches are needed to understand how LAVs affect longevity-related phenotypes at the molecular physiologic level in order to leverage their discovery to identify new drug targets. The NIA convened a workshop in August 2017 on emerging and novel in silico (i.e., bioinformatics and computational) approaches to the translation of LAVs into drug targets. The goal of the workshop was to identify ways of enabling, enhancing, and facilitating interactions among researchers from different disciplines whose research considers either the identification of LAVs or the mechanistic or causal pathway(s) and protective factors they influence for discovering drug targets. Discussions among the workshop participants resulted in the identification of critical needs for enabling the translation of LAVs into drug targets in several areas. These included (1) the initiation and better use of cohorts with multi-omics profiling on the participants; (2) the generation of longitudinal information on multiple individuals; (3) the collection of data from non-human species (both long and short-lived) for comparative biology studies; (4) the refinement of computational tools for integrative analyses; (5) the development of novel computational and statistical inference techniques for assessing the potential of a drug target; (6) the identification of available drugs that could modulate a target in a way that could potentially provide protection against age-related diseases and/or enhance longevity; and (7) the development or enhancement of databases and repositories of relevant information, such as the Longevity Genomics website (https://www.longevitygenomics.org), to enhance and help motivate future interdisciplinary studies. Integrative approaches that examine the influence of LAVs on molecular physiologic phenotypes that might be amenable to pharmacological modulation are necessary for translating LAVs into drugs to enhance health and life span.

[1]  G. Davey Smith,et al.  Mendelian randomization: genetic anchors for causal inference in epidemiological studies , 2014, Human molecular genetics.

[2]  N. Rosenthal,et al.  Of mice and CRISPR The post-CRISPR future of the mouse as a model system for the human condition , 2017 .

[3]  R. Morimoto,et al.  Regulation of longevity in Caenorhabditis elegans by heat shock factor and molecular chaperones. , 2003, Molecular biology of the cell.

[4]  Marylyn D. Ritchie,et al.  Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study , 2016, Science.

[5]  M. Munafo,et al.  Robust research needs many lines of evidence , 2018, Nature.

[6]  S. Austad,et al.  Comparative cellular biogerontology: Primer and prospectus , 2011, Ageing Research Reviews.

[7]  T. Esko,et al.  Variants near CHRNA3/5 and APOE have age- and sex-related effects on human lifespan , 2016, Nature Communications.

[8]  T. Perls,et al.  Morbidity profiles of centenarians: survivors, delayers, and escapers. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.

[9]  P. Sebastiani,et al.  Limitations and risks of meta-analyses of longevity studies , 2017, Mechanisms of Ageing and Development.

[10]  Clifford R Jack,et al.  Testing the Right Target and Right Drug at the Right Stage , 2011, Science Translational Medicine.

[11]  Randy Strong,et al.  NIA Interventions Testing Program: Investigating Putative Aging Intervention Agents in a Genetically Heterogeneous Mouse Model , 2015, EBioMedicine.

[12]  R. Kohanski,et al.  Geroscience and the trans-NIH Geroscience Interest Group, GSIG , 2017, GeroScience.

[13]  A. Brunet,et al.  Ageing: from stem to stern. , 2007, Nature.

[14]  Eric S. Lander,et al.  Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay , 2016, Cell.

[15]  Justin Lamb,et al.  The Connectivity Map: a new tool for biomedical research , 2007, Nature Reviews Cancer.

[16]  Jessica M. Hoffman,et al.  Proteomics and metabolomics in ageing research: from biomarkers to systems biology. , 2017, Essays in biochemistry.

[17]  B. Kennedy,et al.  The genetics of ageing: insight from genome‐wide approaches in invertebrate model organisms , 2008, Journal of internal medicine.

[18]  C. Sedwick Anne Brunet: Gracefully studying how we age , 2015, The Journal of cell biology.

[19]  D. Melzer,et al.  Human longevity: 25 genetic loci associated in 389,166 UK biobank participants , 2017, Aging.

[20]  Rod D. Roscoe,et al.  Genetic determinants of exceptional human longevity: insights from the Okinawa Centenarian Study , 2006, AGE.

[21]  N. Barzilai,et al.  Dissecting the Mechanisms Underlying Unusually Successful Human Health Span and Life Span. , 2015, Cold Spring Harbor perspectives in medicine.

[22]  G. Grossberg,et al.  Analysis of recent failures of disease modifying therapies in Alzheimer’s disease suggesting a new methodology for future studies , 2017, Expert review of neurotherapeutics.

[23]  M. Daly,et al.  Centenarians and the genetics of longevity. , 2000, Results and problems in cell differentiation.

[24]  P. Sebastiani,et al.  Four Genome-Wide Association Studies Identify New Extreme Longevity Variants , 2017, The journals of gerontology. Series A, Biological sciences and medical sciences.

[25]  Thomas Meitinger,et al.  A genome-wide association study confirms APOE as the major gene influencing survival in long-lived individuals , 2011, Mechanisms of Ageing and Development.

[26]  Sangkyu Kim,et al.  Quantitative measures of healthy aging and biological age , 2015, Healthy aging research.

[27]  Daniel Levy,et al.  The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective , 2014, The Lancet.

[28]  R. Labaudinière,et al.  Tafamidis, a potent and selective transthyretin kinetic stabilizer that inhibits the amyloid cascade , 2012, Proceedings of the National Academy of Sciences.

[29]  M. Kaeberlein How healthy is the healthspan concept? , 2018, GeroScience.

[30]  Dorothy McCaughan,et al.  Systematic review of the evidence on orthotic devices for the management of knee instability related to neuromuscular and central nervous system disorders , 2017, BMJ Open.

[31]  T. Wilkinson CANCER IN THE OLDEST OLD , 1999, Journal of the American Geriatrics Society.

[32]  R. Kamm,et al.  Vascularized microfluidic organ-chips for drug screening, disease models and tissue engineering. , 2018, Current opinion in biotechnology.

[33]  J. Murabito,et al.  The epidemiology of longevity and exceptional survival. , 2013, Epidemiologic reviews.

[34]  L. Partridge,et al.  Facing up to the global challenges of ageing , 2018, Nature.

[35]  W. Lieb,et al.  Identi fi cation and characterization of two functional variants in the human longevity gene FOXO 3 , 2018 .

[36]  Neville E. Sanjana,et al.  Target Discovery for Precision Medicine Using High-Throughput Genome Engineering. , 2017, Advances in experimental medicine and biology.

[37]  Martin Hofmann-Apitius,et al.  Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders , 2015, International journal of molecular sciences.

[38]  W. Lieb,et al.  Syddansk Universitet Identification and characterization of two functional variants in the human longevity gene , 2017 .

[39]  Paola Sebastiani,et al.  Human longevity and common variations in the LMNA gene: a meta‐analysis , 2012, Aging cell.

[40]  L. Ferrucci,et al.  A framework for selection of blood-based biomarkers for geroscience-guided clinical trials: report from the TAME Biomarkers Workgroup , 2018, GeroScience.

[41]  T. Perls Genetic and Environmental Influences on Exceptional Longevity and the AGE Nomogram , 2002, Annals of the New York Academy of Sciences.

[42]  A. Bergman,et al.  RNA Editing Genes Associated with Extreme Old Age in Humans and with Lifespan in C. elegans , 2009, PloS one.

[43]  Caleb E. Finch,et al.  Evolution of the human lifespan and diseases of aging: Roles of infection, inflammation, and nutrition , 2009, Proceedings of the National Academy of Sciences.

[44]  Paola Sebastiani,et al.  Biomarker signatures of aging , 2017, Aging cell.

[45]  S. Austad,et al.  Age-related cellular changes in the long-lived bivalve A. islandica , 2015, AGE.

[46]  B. Kennedy,et al.  2nd interventions in aging conference , 2017, Aging.

[47]  George Davey Smith,et al.  Recent Developments in Mendelian Randomization Studies , 2017, Current Epidemiology Reports.

[48]  Angela N. Brooks,et al.  A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles , 2017, Cell.

[49]  B. Kennedy,et al.  Drugs that modulate aging: the promising yet difficult path ahead. , 2014, Translational research : the journal of laboratory and clinical medicine.

[50]  Keith A. Johnson,et al.  Preclinical Alzheimer disease—the challenges ahead , 2013, Nature Reviews Neurology.

[51]  D. Promislow,et al.  A randomized controlled trial to establish effects of short-term rapamycin treatment in 24 middle-aged companion dogs , 2017, GeroScience.

[52]  A. Budovsky,et al.  Wide‐scale comparative analysis of longevity genes and interventions , 2017, Aging cell.

[53]  N. Barzilai,et al.  The Critical Role of Metabolic Pathways in Aging , 2012, Diabetes.

[54]  N. Schork,et al.  Naturally occurring human genetic variation in the 3'-untranslated region of the secretory protein chromogranin A is associated with autonomic blood pressure regulation and hypertension in a sex-dependent fashion. , 2008, Journal of the American College of Cardiology.

[55]  P. Rabinovitch,et al.  Healthy aging: The ultimate preventative medicine , 2015, Science.

[56]  Paul A Clemons,et al.  The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.

[57]  Ricardo Macarrón,et al.  Design and Implementation of High Throughput Screening Assays , 2011, Molecular biotechnology.

[58]  C. Barbas,et al.  Chronic Diseases and Lifestyle Biomarkers Identification by Metabolomics. , 2017, Advances in experimental medicine and biology.