Evidence map›Paper›PMID 31970383›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Metabolites Associated with Walking Ability Among the Oldest Old from the CHS All Stars Study.

Megan M Marron, Stacy G Wendell, Robert M Boudreau, Clary B Clish, Adam J Santanasto, George C Tseng, Joseph M Zmuda, Anne B Newman

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Metabolomic Pathways of Inflammation and Mitochondrial Dysfunction Are Related to Worsening Healthy Aging Index and Mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  6. Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Megan M MarronDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Stacy G WendellDepartments of Pharmacology and Chemical Biology and Clinical and Translational Science, University of Pittsburgh, Pennsylvania.
Robert M BoudreauDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Clary B ClishBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Adam J SantanastoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
George C TsengDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Joseph M ZmudaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
University of Pittsburgh · USBroad Institute · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Training in Molecular Epidemiology: Linking Genes to Physical Function in Older AdultsK01AG057726 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANTANASTO, ADAM J · 2018 to 2022
$582k
CHS-Transition PhaseN01HC55222 · NHLBI · PI , · 2007 to 2007
$575k
CHS-ULTRASOUND READINGN01HC045133 · HC · GEISINGER HEALTH SYSTEM · PI O'LEARY, DANIEL H. · 1994 to 2000
$155k
CHS RETINAL READING CENTERN01HC075150 · HC · UNIVERSITY OF WISCONSIN MADISON · PI KLEIN, RONALD · 1997 to 2000
–
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
–
CARDIOVASCULAR HEALTH STUDY-ECHOCARDIOGRAPHY READING CTRN01HC035129 · HC · GEORGETOWN UNIVERSITY · PI GOTTDIENER, JOHN S. · 1993 to 2001
–
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65 TO 84N01HC085079 · HC · UNIVERSITY OF WASHINGTON · 1988 to 2005
–
NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC75150NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85086NHLBI NIH HHS T32 HL083825NHLBI NIH HHS U01 HL080295NIA NIH HHS K01 AG057726NIA NIH HHS L30 AG064586NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG023629NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

backgroundLow walking ability is highly prevalent with advancing age and predicts major health outcomes. Metabolomics may help to better characterize differences in walking ability among older adults, providing insight into potentially altered molecular processes underlying age-related decline in functioning. We sought to identify metabolites and metabolic pathways associated with high versus low walking ability among 120 participants ages 79-95 from the CHS All Stars study.

methodsUsing a nested case-control design, 60 randomly selected participants with low walking ability were matched one-to-one on age, gender, race, and fasting time with 60 participants with high walking ability. High versus low walking ability was defined as being in the best versus worst tertiles for both gait speed (≥0.9 vs <0.7 m/s) and the Walking Ability Index (7-9 vs 0-1). Using liquid chromatography-mass spectrometry, 569 metabolites were identified in overnight-fasting plasma.

resultsNinety-six metabolites were associated with walking ability, where 24% were triacylglycerols. Triacylglycerols that were higher among those with high walking ability consisted mostly of polyunsaturated fatty acids, whereas triacylglycerols that were lower among those with high walking ability consisted mostly of saturated or monounsaturated fatty acids. Body composition partly explained associations between some metabolites and walking ability. Proline and arginine metabolism was a top pathway associated with walking ability.

conclusionThese results may partly reflect pathways of modifiable risk factors, including excess dietary lipids and lack of physical activity, contributing to obesity and further alterations in metabolic pathways that lead to age-related decline in walking ability in this older adult cohort.

Indexed as

AgedAged, 80 and overCase-Control StudiesFemaleGeriatric AssessmentHumansMaleMetabolomicsRisk FactorsWalkingWalking SpeedGait speedLipidsMetabolomicsTriacylglycerols

Identifiers

PMID31970383
PMCPMC7662173
OpenAlexW3002832137

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.