Evidence map›Paper›PMID 28273481›Full record

ArticleCell metabolism2017

Matching Dietary Amino Acid Balance to the In Silico-Translated Exome Optimizes Growth and Reproduction without Cost to Lifespan.

Matthew D W Piper, George A Soultoukis, Eric Blanc, Andrea Mesaros, Samantha L Herbert, Paula Juricic, Xiaoli He, Ilian Atanassov, Hanna Salmonowicz, Mingyao Yang and 3 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Cell metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 228 citations in OpenAlex.

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  7. Ovary-Derived Signals Align Protein Appetite with Oogenesis.bioRxiv : the preprint server for biology · 2026
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  10. Distinct macronutrient ratios optimize offspring survival, growth, and maternal glucose tolerance across mouse reproduction.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Gut metabolism links precision nutrition, exercise, and healthspan inbioRxiv : the preprint server for biology · 2025
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 5 countries.

Matthew D W PiperInstitute of Healthy Ageing and Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK. Electronic address: matthew.piper@monash.edu.
George A SoultoukisMax Planck Institute for Biology of Ageing, Köln 50931, Germany.
Eric BlancBerlin Institute of Health, Berlin 10117, Germany.
Andrea MesarosMax Planck Institute for Biology of Ageing, Köln 50931, Germany.
Samantha L HerbertBehavior and Metabolism Laboratory, Champalimaud Centre for the Unknown, Lisbon 1400-038, Portugal.
Paula JuricicMax Planck Institute for Biology of Ageing, Köln 50931, Germany.
Xiaoli HeUCL Ear Institute, University College London, London WC1X 8EE, UK.
Ilian AtanassovMax Planck Institute for Biology of Ageing, Köln 50931, Germany.
Hanna SalmonowiczMax Planck Institute for Biology of Ageing, Köln 50931, Germany.
Mingyao YangInstitute of Animal Genetics and Breeding, Sichuan Agricultural University, Chengdu 611130, China.
Stephen J SimpsonCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney 2050, Australia.
Carlos RibeiroBehavior and Metabolism Laboratory, Champalimaud Centre for the Unknown, Lisbon 1400-038, Portugal.
Linda PartridgeInstitute of Healthy Ageing and Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK; Max Planck Institute for Biology of Ageing, Köln 50931, Germany. Electronic address: partridge@age.mpg.de.
Max Planck Institute for Biology of Ageing · DEChampalimaud Foundation · PTMRC Unit for Lifelong Health and Ageing · GBBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DESichuan Agricultural University · CNUniversity College London · GBUniversity of Sydney · AU

Funding

Biotechnology and Biological Sciences Research Council BB/I011544/1European Research Council 268739Medical Research Council 1084267Wellcome TrustWellcome Trust 098565/Z/12/Z
6 · The paper itself

Abstract

Balancing the quantity and quality of dietary protein relative to other nutrients is a key determinant of evolutionary fitness. A theoretical framework for defining a balanced diet would both reduce the enormous workload to optimize diets empirically and represent a breakthrough toward tailoring diets to the needs of consumers. Here, we report a simple and powerful in silico technique that uses the genome information of an organism to define its dietary amino acid requirements. We show for the fruit fly Drosophila melanogaster that such "exome-matched" diets are more satiating, enhance growth, and increase reproduction relative to non-matched diets. Thus, early life fitness traits can be enhanced at low levels of dietary amino acids that do not impose a cost to lifespan. Exome matching also enhanced mouse growth, indicating that it can be applied to other organisms whose genome sequence is known.

Indexed as

Computer SimulationAmino AcidsAnimalsDietary ProteinsDrosophila melanogasterExomeFeeding BehaviorFemaleGene Expression Regulation, DevelopmentalGrowth and DevelopmentLongevityMice, Inbred C57BLOvaryOvumReproductionAmino AcidsDietary Proteinsamino acidsdietary restrictiondiet balanceDrosophilafitnessgrowthlifespanmousereproductiontrade-off

Identifiers

PMID28273481
PMCPMC5355364
OpenAlexW2592281222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.