Evidence map›Paper›PMID 37503266›Full record

ArticlebioRxiv : the preprint server for biology2023

Systems biology and machine learning approaches identify metabolites that influence dietary lifespan and healthspan responses across flies and humans.

Tyler A U Hilsabeck, Vikram P Narayan, Kenneth A Wilson, Enrique Carrera, Daniel Raftery, Daniel Promislow, Rachel B Brem, Judith Campisi, Pankaj Kapahi

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Tyler A U HilsabeckORCID 0000-0002-1690-4704
Vikram P Narayan
Kenneth A WilsonORCID 0000-0003-3227-9977
Enrique Carrera
Daniel RafteryORCID 0000-0003-2467-8118
Daniel PromislowORCID 0000-0001-7088-4495
Rachel B BremORCID 0000-0002-8587-9434
Judith Campisi
Pankaj Kapahi
Buck Institute for Research on Aging · USUniversity of Southern California · USUniversity of Washington · US

Funding

Training in Basic Research on Aging and Age-Related DiseaseT32AG000266 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Lisa M Ellerby · 1998 to 2026
$13.8M
Metabolome-Genome Associations for Determining Mechanisms of Aging in DrosophilaR01AG049494 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2015 to 2019
$1.8M
NIA NIH HHS R01 AG049494NIA NIH HHS T32 AG000266
6 · The paper itself

Abstract

Dietary restriction (DR) is a potent method to enhance lifespan and healthspan, but individual responses are influenced by genetic variations. Understanding how metabolism-related genetic differences impact longevity and healthspan are unclear. To investigate this, we used metabolites as markers to reveal how different genotypes respond to diet to influence longevity and healthspan traits. We analyzed data from

Identifiers

PMID37503266
PMCPMC10369897
OpenAlexW4384029922

What OpenQuestion holds

Textmetadata
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.