Evidence map›Paper›PMID 29411535›Full record

ArticlePhysiological reports2018

Near-infrared spectroscopy detects age-related differences in skeletal muscle oxidative function: promising implications for geroscience.

Susie Chung, Ryan Rosenberry, Terence E Ryan, Madison Munson, Thomas Dombrowsky, Suwon Park, Aida Nasirian, Mark J Haykowsky, Michael D Nelson

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Age-Related Changes in Skeletal Muscle Oxygen Utilization.Journal of functional morphology and kinesiology · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

9 authors at 2 institutions in 1 country.

Susie ChungApplied Physiology and Advanced Imaging Laboratory, Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.
Ryan RosenberryApplied Physiology and Advanced Imaging Laboratory, Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.
Terence E RyanDepartment of Physiology, East Carolina University, Greenville, North Carolina.
Madison MunsonApplied Physiology and Advanced Imaging Laboratory, Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.
Thomas DombrowskyCollege of Nursing, University of Texas at Arlington, Arlington, Texas.
Suwon ParkCollege of Nursing, University of Texas at Arlington, Arlington, Texas.
Aida NasirianApplied Physiology and Advanced Imaging Laboratory, Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.
Mark J HaykowskyCollege of Nursing, University of Texas at Arlington, Arlington, Texas.
Michael D NelsonApplied Physiology and Advanced Imaging Laboratory, Department of Kinesiology, University of Texas at Arlington, Arlington, Texas.
The University of Texas at Arlington · USEast Carolina University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age is the greatest risk factor for chronic disease and is associated with a marked decline in functional capacity and quality of life. A key factor contributing to loss of function in older adults is the decline in skeletal muscle function. While the exact mechanism(s) remains incompletely understood, age-related mitochondrial dysfunction is thought to play a major role. To explore this question further, we studied 15 independently living seniors (age: 72 ± 5 years; m/f: 4/11; BMI: 27.6 ± 5.9) and 17 young volunteers (age: 25 ± 4 years; m/f: 8/9; BMI: 24.0 ± 3.3). Skeletal muscle oxidative function was measured in forearm muscle from the recovery kinetics of muscle oxygen consumption using near-infrared spectroscopy (NIRS). Muscle oxygen consumption was calculated as the slope of change in hemoglobin saturation during a series of rapid, supra-systolic arterial cuff occlusions following a brief bout of exercise. Aging was associated with a significant prolongation of the time constant of oxidative recovery following exercise (51.8 ± 5.4 sec vs. 37.1 ± 2.1 sec, P = 0.04, old vs. young, respectively). This finding suggests an overall reduction in mitochondrial function with age in nonlocomotor skeletal muscle. That these data were obtained using NIRS holds great promise in gerontology for quantitative assessment of skeletal muscle oxidative function at the bed side or clinic.

Indexed as

Oxygen ConsumptionAdultAgedAgingExerciseFemaleHumansMaleMiddle AgedMitochondria, MuscleMuscle, SkeletalSpectroscopy, Near-InfraredAgingnear infrared spectroscopyoxidative capacity

Identifiers

PMID29411535
PMCPMC5801551
OpenAlexW2787916221

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.