Predicting Longevity Responses to Dietary Restriction: A Stepping Stone Toward Precision Geroscience

Autor: Benjamin R Harrison, Ali Shojaie, Shiqing Yu, Christopher S. Nelson, Rachel B. Brem, Kenneth A. Wilson, Pankaj Kapahi, Mathias Drton, Jennifer N. Beck, Danijel Djukovic, George W. Brownridge, Daniel E. L. Promislow, Daniel Raftery, Kelly Jin
Přispěvatelé: Murphy, Coleen T
Rok vydání: 2020
Předmět:
Aging
Cancer Research
QH426-470
medicine.disease_cause
Biochemistry
Receptors
G-Protein-Coupled

RNA interference
0302 clinical medicine
Receptors
Metabolites
Medicine and Health Sciences
2.1 Biological and endogenous factors
Drosophila Proteins
Insulin
Developmental
Aetiology
Genetics (clinical)
Genetics
Regulation of gene expression
0303 health sciences
Mutation
biology
Eukaryota
Gene Expression Regulation
Developmental

Animal Models
Genomics
Nucleic acids
Insects
Drosophila melanogaster
Genetic interference
Experimental Organism Systems
Metabolome
Epigenetics
Drosophila
Metabolic Pathways
Network Analysis
Research Article
Signal Transduction
Computer and Information Sciences
Arthropoda
Longevity
Quantitative trait locus
Research and Analysis Methods
G-Protein-Coupled
Metabolic Networks
03 medical and health sciences
Model Organisms
Metabolomics
Genome-Wide Association Studies
medicine
Animals
Molecular Biology
Gene
Metabolic and endocrine
Ecology
Evolution
Behavior and Systematics

Nutrition
Caloric Restriction
030304 developmental biology
Biology and life sciences
Organisms
Computational Biology
Human Genetics
Genome Analysis
biology.organism_classification
Invertebrates
Diet
Metabolic pathway
Metabolism
Gene Expression Regulation
Animal Studies
RNA
Generic health relevance
Gene expression
030217 neurology & neurosurgery
Developmental Biology
Zdroj: PLoS Genetics
PLoS Genetics, Vol 16, Iss 7, p e1008835 (2020)
PLoS genetics, vol 16, iss 7
ISSN: 1553-7404
Popis: In most organisms, dietary restriction (DR) increases lifespan. However, several studies have found that genotypes within the same species vary widely in how they respond to DR. To explore the mechanisms underlying this variation, we exposed 178 inbred Drosophila melanogaster lines to a DR or ad libitum (AL) diet, and measured a panel of 105 metabolites under both diets. Twenty four out of 105 metabolites were associated with the magnitude of the lifespan response. These included proteinogenic amino acids and metabolites involved in α-ketoglutarate (α-KG)/glutamine metabolism. We confirm the role of α-KG/glutamine synthesis pathways in the DR response through genetic manipulations. We used covariance network analysis to investigate diet-dependent interactions between metabolites, identifying the essential amino acids threonine and arginine as “hub” metabolites in the DR response. Finally, we employ a novel metabolic and genetic bipartite network analysis to reveal multiple genes that influence DR lifespan response, some of which have not previously been implicated in DR regulation. One of these is CCHa2R, a gene that encodes a neuropeptide receptor that influences satiety response and insulin signaling. Across the lines, variation in an intronic single nucleotide variant of CCHa2R correlated with variation in levels of five metabolites, all of which in turn were correlated with DR lifespan response. Inhibition of adult CCHa2R expression extended DR lifespan of flies, confirming the role of CCHa2R in lifespan response. These results provide support for the power of combined genomic and metabolomic analysis to identify key pathways underlying variation in this complex quantitative trait.
Author summary Dietary restriction extends lifespan across most organisms in which it has been tested. However, several studies have now demonstrated that this effect can vary dramatically across different genotypes within a population. Within a population, dietary restriction might be beneficial for some, yet detrimental for others. Here, we measure the metabolome of 178 genetically characterized fly strains on fully fed and restricted diets. The fly strains vary widely in their lifespan response to dietary restriction. We then use information about each strain’s genome and metabolome (a measure of small molecules circulating in flies) to pinpoint cellular pathways that govern this variation in response. We identify a novel pathway involving the gene CCHa2R, which encodes a neuropeptide receptor that has not previously been implicated in dietary restriction or age-related signaling pathways. This study demonstrates the power of leveraging systems biology and network biology methods to understand how and why different individuals vary in their response to health and lifespan-extending interventions.
Databáze: OpenAIRE