Evidence map›Paper›PMID 36401062›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Analysis of the adiponectin paradox in healthy older people.

Carina O Walowski, Catrin Herpich, Janna Enderle, Wiebke Braun, Marcus Both, Mario Hasler, Manfred J Müller, Kristina Norman, Anja Bosy-Westphal

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Exerkines and myokines in aging sarcopenia.Frontiers in endocrinology · 2025
    Review
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  15. Analysis of the adiponectin paradox in healthy older people.Journal of cachexia, sarcopenia and muscle · 2023
    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 3 institutions in 1 country.

Carina O WalowskiInstitute for Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.
Catrin HerpichInstitute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
Janna EnderleInstitute for Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.
Wiebke BraunInstitute for Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.
Marcus BothDepartment of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Mario HaslerApplied Statistics, Faculty of Agricultural and Nutritional Sciences, Christian-Albrechts-University, Kiel, Germany.
Manfred J MüllerInstitute for Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.
Kristina NormanInstitute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
Anja Bosy-WestphalInstitute for Human Nutrition and Food Science, Christian-Albrechts-University, Kiel, Germany.ORCID 0000-0002-8318-9448
Christian-Albrechts-Universität zu Kiel · DEUniversity of Potsdam · DEUniversity Hospital Schleswig-Holstein · DE

Funding

Danone Institute-Nutrition for Health, GermanyOpen Access-Publikationskostenseca gmbh & co.kg., Germany
6 · The paper itself

Abstract

backgroundIt remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations.

methodsIn 190 healthy adults (59-86 years, BMI 17-37 kg/m

resultsHigher adiponectin levels were associated with a lower SMI (r = -0.23, P < 0.01), BMC (r = -0.17, P < 0.05) and liver fat (r = -0.20, P < 0.05) in the total population and with higher muscle fat in women (r = 0.27, P < 0.01). By contrast, IGF-1 showed positive correlations with SMI (r = 0.33), BMD (r = 0.37) and BMC (r = 0.33) (all P < 0.01) and a negative correlation with muscle fat (r = -0.17, P < 0.05). IGF-1 was negatively associated with age (r = -0.21, P < 0.01) and with adiponectin (r = -0.15, P < 0.05). Stepwise regression analyses revealed that IGF-1, insulin and leptin explained 18% of the variance in SMI, and IGF-1, leptin and age explained 16% of the variance in BMC, whereas adiponectin did not contribute to these models.

conclusionsAssociations between higher adiponectin levels and lower muscle or bone mass in healthy older adults may be explained by a decrease in IGF-1 with increasing adiponectin levels.

Indexed as

AdiponectinBone DensityInsulin-Like Growth Factor IMuscle, SkeletalAgedAged, 80 and overBody CompositionFemaleHumansInsulinLeptinMaleMiddle AgedAdiponectinADIPOQ protein, humanIGF1 protein, humanInsulinInsulin-Like Growth Factor ILEP protein, humanLeptinAdiponectin paradoxBoneLiver fatMuscle qualityOlder adultsSkeletal muscle mass

Identifiers

PMID36401062
PMCPMC9891976
OpenAlexW4309373826

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.