Evidence map›Paper›PMID 33535098›Full record

ArticleCell metabolism2021

Mitohormesis in Hypothalamic POMC Neurons Mediates Regular Exercise-Induced High-Turnover Metabolism.

Gil Myoung Kang, Se Hee Min, Chan Hee Lee, Ji Ye Kim, Hyo Sun Lim, Min Jeong Choi, Saet-Byel Jung, Jae Woo Park, Seongjun Kim, Chae Beom Park and 12 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cell metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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  15. Exercise benefits yourself and your offspring: a mini-review.Frontiers in cell and developmental biology · 2025
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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

22 authors at 5 institutions in 2 countries.

Gil Myoung KangAsan Institute for Life Science, University of Ulsan College of Medicine, Seoul 05505, Korea.
Se Hee MinDivision of Endocrinology and Metabolism, Department of Internal Medicine, Diabetes Center, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Chan Hee LeeAsan Institute for Life Science, University of Ulsan College of Medicine, Seoul 05505, Korea.
Ji Ye KimAsan Institute for Life Science, University of Ulsan College of Medicine, Seoul 05505, Korea.
Hyo Sun LimDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Min Jeong ChoiResearch Center for Endocrine and Metabolic Diseases, Department of Medical Science, School of Medicine, Chungnam National University, Daejeon 35015, Korea.
Saet-Byel JungResearch Center for Endocrine and Metabolic Diseases, Department of Medical Science, School of Medicine, Chungnam National University, Daejeon 35015, Korea.
Jae Woo ParkDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Seongjun KimDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Chae Beom ParkDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Hong DuguDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Jong Han ChoiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Diabetes Center, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Won Hee JangDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Se Eun ParkDepartment of Biomedical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea.
Young Min ChoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea.
Jae Geun KimDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea.
Kyung-Gon KimAsan Institute for Life Science, University of Ulsan College of Medicine, Seoul 05505, Korea.
Cheol Soo ChoiLee Gil Ya Cancer and Diabetes Institute, Korea Mouse Metabolic Phenotyping Center, Gachon University, Inchon 21999, Korea.
Young-Bum KimDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA.
Changhan LeeLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: changhan.lee@usc.edu.
Minho ShongResearch Center for Endocrine and Metabolic Diseases, Department of Medical Science, School of Medicine, Chungnam National University, Daejeon 35015, Korea; Department of Internal Medicine, Chungnam National University Hospital, Daejeon 35015, Korea. Electronic address: minhoshong@gmail.com.
Min-Seon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Diabetes Center, Asan Medical Center and University of Ulsan College of Medicine, Seoul 05505, Korea. Electronic address: mskim@amc.seoul.kr.
Ulsan College · KRChungnam National University · KRBeth Israel Deaconess Medical Center · USGachon University · KRSeoul National University · KR

Funding

Role of tanycytic LRP in Aβ clearanceR01DK123002 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KIM, YOUNG-BUM · 2020 to 2023
$2.9M
AMERICAN IMMUNIZATION REGISTRY ASSOC (AIRA) STANDARDS SUPPORT & DEV FOR IMMUNIZATION INFORMATION SYSTEMS TO INCREASE ADHERENCE TO NATL STANDARDSH23IP000855 · IP · AMERICAN IMMUNIZATION REGISTRY ASSN · PI COYLE, REBECCA · 2014 to 2015
$2.0M
Novel Regulators of Aging Metabolism Encoded in the Mitochondrial GenomeR01AG052558 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEE, CHANGHAN · 2016 to 2020
$1.8M
Regulation of Cellular Proliferation by Novel Mitochondrial-Encoded Tumor SuppressorsR01GM136837 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEE, CHANGHAN · 2020 to 2023
$1.5M
NCIRD CDC HHS H23 IP000855NIA NIH HHS R01 AG052558NIDDK NIH HHS R01 DK123002NIGMS NIH HHS R01 GM136837
6 · The paper itself

Abstract

Low-grade mitochondrial stress can promote health and longevity, a phenomenon termed mitohormesis. Here, we demonstrate the opposing metabolic effects of low-level and high-level mitochondrial ribosomal (mitoribosomal) stress in hypothalamic proopiomelanocortin (POMC) neurons. POMC neuron-specific severe mitoribosomal stress due to Crif1 homodeficiency causes obesity in mice. By contrast, mild mitoribosomal stress caused by Crif1 heterodeficiency in POMC neurons leads to high-turnover metabolism and resistance to obesity. These metabolic benefits are mediated by enhanced thermogenesis and mitochondrial unfolded protein responses (UPR

Indexed as

Physical Conditioning, AnimalAnimalsCell Line, TumorEnergy MetabolismHypothalamusMaleMiceMice, Inbred C57BLMice, KnockoutMice, TransgenicMitochondriaNeuronsPro-OpiomelanocortinPro-Opiomelanocortinadiposeexercisehypothalamusmetabolismmitochondriaobesityproopiomelanocortinribosomestressthermogenesis

Identifiers

PMID33535098
PMCPMC7959183
OpenAlexW3128799279

What OpenQuestion holds

Textmetadata
LicenceTDM
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.