Evidence map›Paper›PMID 32358862›Full record

ArticlePhysiological reports2020

Effect of a 12-week endurance training program on force transfer and membrane integrity proteins in lean, obese, and type 2 diabetic subjects.

Sebastian Jannas-Vela, Henning T Langer, Hugo Marambio, Keith Baar, Hermann Zbinden-Foncea

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2020. 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
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Sebastian Jannas-VelaExercise Physiology Laboratory, School of Kinesiology, Universidad Finis Terrae, Santiago, Chile.ORCID 0000-0001-9619-592X
Henning T LangerDepartment of Neurobiology, Physiology and Behavior, University of California, Davis, CA, USA.
Hugo MarambioCentro de Salud Deportiva, Clinica Santa Maria, Santiago, Chile.
Keith BaarDepartment of Neurobiology, Physiology and Behavior, University of California, Davis, CA, USA.
Hermann Zbinden-FonceaExercise Physiology Laboratory, School of Kinesiology, Universidad Finis Terrae, Santiago, Chile.
Finis Terrae University · CLUniversity of California, Davis · USClinica Santa Maria · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms accounting for the loss of muscle function with obesity and type 2 diabetes are likely the result of a combination of neural and muscular factors. One muscular factor that is important, yet has received little attention, is the protein machinery involved in longitudinal and lateral force transmission. The purpose of this study was to compare the levels of force transfer and membrane integrity proteins before and after a 12-week endurance training program in lean, obese, and obese type 2 diabetic adults. Nineteen sedentary subjects (male = 8 and female = 11) were divided into three groups: Lean (n = 7; 50.3 ± 4.1 y; 69.1 ± 7.2 kg); Obese (n = 6; 49.8 ± 4.1 y; 92.9 ± 19.5 kg); and Obese with type 2 diabetes (n = 6; 51.5 ± 7.9 years; 88.9 ± 15.1 kg). Participants trained 150 min/week between 55% and 75% of VO

Indexed as

AnkyrinsDiabetes Mellitus, Type 2DystrophinEndurance TrainingExercise TherapyFemaleHumansMaleMembrane ProteinsMiddle AgedMuscle, SkeletalMuscle StrengthObesityThinnessANK1 protein, humanAnkyrinsDMD protein, humanDystrophinMembrane Proteinsdystrophinendurance exerciseforce transfer proteinsobesetype II diabetes

Identifiers

PMID32358862
PMCPMC7195556
OpenAlexW3022587575

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.