Evidence map›Paper›PMID 42559346›Full record

ArticleTheranostics2026

MENTSH: A novel mitochondrial microprotein linked to a SNP associated with type 2 diabetes.

Kelvin Yen, Ricardo Ramirez, Brendan Miller, Hiroshi Kumagai, Jie Yao, Morgan Levine, Xiuqing Guo, Jihui Sha, Ana Silverstein, Roberto Vicinanza and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theranostics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

25 authors.

Kelvin YenLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Ricardo RamirezLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Brendan MillerClayton Foundation Laboratories for Peptide Biology, Salk Institute for Biological Studies; La Jolla, CA 92037, USA.
Hiroshi KumagaiLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Jie YaoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Torrance, CA 90502, USA.
Morgan LevineInstitute of Computation, Altos Labs; San Diego 92114, CA USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Torrance, CA 90502, USA.
Jihui ShaDepartment of Biological Chemistry, David Geffen School of Medicine, University of California; Los Angeles, Los Angeles 90095, CA, USA.
Ana SilversteinLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Roberto VicinanzaLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Torrance, CA 90502, USA.
Melanie FloresLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Zeferino ReynaLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Su-Jeong KimLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Noel GuerreroLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Hemal H MehtaLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Junxiang WanLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Zhongzheng NiuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA.
Carrie V BretonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA.
Maria C KenneyDepartment of Ophthalmology, Gavin Herbert Eye Institute, University of California Irvine; Irvine 92697, CA, USA.
Thalida Em ArpawongLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
James WohlschlegelDepartment of Biological Chemistry, David Geffen School of Medicine, University of California; Los Angeles, Los Angeles 90095, CA, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Torrance, CA 90502, USA.
Eileen CrimminsLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.
Pinchas CohenLeonard Davis School of Gerontology, University of Southern California; Los Angeles 90089, CA, USA.

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NHLBI Data Stage Coordinating CenterOT3HL147154 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ashok Kumar Krishnamurthy · 2018 to 2026
$98.9M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALAN R. SALTIEL · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142478 · NHLBI · SEVEN BRIDGES GENOMICS, INC. · PI DAVIS-DUSENBERY, BRANDI NICOLE · 2017 to 2022
$12.6M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCRR NIH HHS UL1 RR033176NHGRI NIH HHS U54 HG003067NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201500014CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS OT3 HL142478NHLBI NIH HHS OT3 HL142479NHLBI NIH HHS OT3 HL142480NHLBI NIH HHS OT3 HL142481NHLBI NIH HHS OT3 HL147154NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL146860NHLBI NIH HHS R01 HL151855NIA NIH HHS P30 AG068345NIA NIH HHS P30 AG094848NIA NIH HHS R01 AG068405NIA NIH HHS R01 AG069698NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS U01 AG009740NIDDK NIH HHS P30 DK063491NIEHS NIH HHS 75N98025D00022NIEHS NIH HHS 75N98025D00024NIEHS NIH HHS 75N98025D00025NIEHS NIH HHS 75N98025D00026NIEHS NIH HHS 75N98025D00027NIEHS NIH HHS 75N98025D00028NIGMS NIH HHS R35 GM153408
6 · The paper itself

Abstract

Rationale: Obesity and type 2 diabetes (T2D) are growing threats to human health, and their genetic basis is complex and not fully understood. Furthermore, the mitochondrial genome has been shown to encode for many microproteins that have a variety of biological effects. In this study we explore a newly discovered Methods: We have performed a mitochondrial genome wide interaction study (MiWIS) and discovered a SNP that lies within the gene for an MDP and is associated with type 2 diabetes. We then used cell culture to confirm that this MDP has biological activity and used mass spectrometry to detect it. This novel MDP and more potent analogues were then administered in murine, Results: Our MiWIS found a SNP associated with type 2 diabetes in 3 independent cohorts that is found within a novel MDP that we have called MENTSH ( Conclusions: These observations highlight a new cause of metabolic dysfunction in a vulnerable population, suggesting that MENTSH could be an innovative, precision medicine approach to treating T2D.

Indexed as

Diabetes Mellitus, Type 2MitochondriaMitochondrial ProteinsPolymorphism, Single NucleotideAnimalsHumansMaleMiceMice, Inbred C57BLMicropeptidesObesityMicropeptidesMitochondrial Proteinsdiabetesmicroproteinmitochondriaobesitytherapeutic

Identifiers

PMID42559346
PMCPMC13440476

What Socratic holds

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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 Socratic graph.