Evidence map›Paper›PMID 37569879›Full record

ArticleInternational journal of molecular sciences2023

Low Muscle and High Fat Percentages Are Associated with Low Natural Killer Cell Activity: A Cross-Sectional Study.

A-Ra Cho, Eunkyung Suh, Hyoju Oh, Baek Hwan Cho, Minchan Gil, Yun-Kyong Lee

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

A-Ra ChoDepartment of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0002-3645-2282
Eunkyung SuhChaum Life Center, CHA University, Seoul 06062, Republic of Korea.
Hyoju OhChaum Life Center, CHA University, Seoul 06062, Republic of Korea.
Baek Hwan ChoDepartment of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam 13488, Republic of Korea.ORCID 0000-0001-7722-5660
Minchan GilNKMAX Co., Ltd., Seongnam 13605, Republic of Korea.
Yun-Kyong LeeChaum Life Center, CHA University, Seoul 06062, Republic of Korea.ORCID 0000-0002-4972-0047

Funding

NKMAX Co., Ltd. 2021-09-047
6 · The paper itself

Abstract

This study aimed to investigate whether body fat and muscle percentages are associated with natural killer cell activity (NKA). This was a cross-sectional study, conducted on 8058 subjects in a medical center in Korea. The association between the muscle and fat percentage tertiles and a low NKA, defined as an interferon-gamma level lower than 500 pg/mL, was assessed. In both men and women, the muscle mass and muscle percentage were significantly low in participants with a low NKA, whereas the fat percentage, white blood cell count, and C-reactive protein (CRP) level were significantly high in those with a low NKA. Compared with the lowest muscle percentage tertile as a reference, the fully adjusted odd ratios (ORs) (95% confidence intervals (CIs)) for a low NKA were significantly lower in T2 (OR: 0.69; 95% CI: 0.55-0.86) and T3 (OR: 0.74; 95% CI: 0.57-0.95) of men, and T3 (OR: 0.76; 95% CI: 0.59-0.99) of women. Compared with the lowest fat percentage tertile as a reference, the fully adjusted OR was significantly higher in T3 of men (OR: 1.31; 95% CI: 1.01-1.69). A high muscle percentage was significantly inversely associated with a low NKA in men and women, whereas a high fat percentage was significantly associated with a low NKA in men.

Indexed as

Adipose TissueMusclesBody CompositionBody Mass IndexCross-Sectional StudiesFemaleHumansKiller Cells, NaturalKoreaMalebody compositionfat percentageinnate immunitymuscle percentagenatural killer cell activityobesity

Identifiers

PMID37569879
PMCPMC10419953

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.