Evidence map›Paper›PMID 32946050›Full record

ArticleGeroScience2020

Semiautomatic morphometric analysis of skeletal muscle obtained by needle biopsy in older adults.

Henry J Bonilla, Maria L Messi, Khalima A Sadieva, Craig A Hamilton, Aron S Buchman, Osvaldo Delbono

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

Article in GeroScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

6 authors at 2 institutions in 1 country.

Henry J BonillaDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Maria L MessiDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Khalima A SadievaDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Craig A HamiltonDepartment of Internal Medicine, Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Aron S BuchmanRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Osvaldo DelbonoDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA. odelbono@wakehealth.edu.ORCID 0000-0002-1613-8202
Wake Forest University · USRush University Medical Center · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
Impaired Gait in Older Adults: Pathologies of Alzheimer's disease and Related DisordersR01AG056352 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2017 to 2021
$3.5M
Elucidating the molecular drivers of impaired mobility within and outside the CNS in Alzheimer’s disease and related disordersR01AG059732 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2019 to 2023
$2.8M
The Role of the Sympathetic Nervous System in the Onset and Development of SarcopeniaR01AG057013 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DELBONO, OSVALDO · 2017 to 2021
$2.0M
NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG056352NIA NIH HHS R01 AG057013NIA NIH HHS R01 AG059732
6 · The paper itself

Abstract

Analysis of skeletal muscle mass and composition is essential for studying the biology of age-related sarcopenia, loss of muscle mass, and function. Muscle immunohistochemistry (IHC) allows for simultaneous visualization of morphological characteristics and determination of fiber type composition. The information gleaned from myosin heavy chain (MHC) isoform, and morphological measurements offer a more complete assessment of muscle health and properties than classical techniques such as SDS-PAGE and ATPase immunostaining; however, IHC quantification is a time-consuming and tedious method. We developed a semiautomatic method to account for issues frequently encountered in aging tissue. We analyzed needle-biopsied vastus lateralis (VL) of the quadriceps from a cohort of 14 volunteers aged 74.9 ± 2.2 years. We found a high correlation between manual quantification and semiautomatic analyses for the total number of fibers detected (r

Indexed as

Muscle Fibers, SkeletalMuscle, SkeletalAgedAgingBiopsy, NeedleHumansMyosin Heavy ChainsMyosin Heavy ChainsAging skeletal muscleMorphometric analysisMyosin heavy chainSemiautomatic muscle analysisSkeletal muscle

Identifiers

PMID32946050
PMCPMC7732929
OpenAlexW3087054875

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.