Evidence map›Paper›PMID 36137277›Full record

ReviewAnnual review of physiology2023

Iron and the Pathophysiology of Diabetes.

Alexandria V Harrison, Felipe Ramos Lorenzo, Donald A McClain

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 2 pooled it
20.2field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Medicina (Kaunas, Lithuania) · 2026
    Pooled it
  2. Pooled it
  3. Increased levels of systemic iron content in adult-onset interleukin-6 knockout mice.Redox report : communications in free radical research · 2026
    Article
  4. Article
  5. Review
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  14. Protective Effect ofCurrent issues in molecular biology · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Alexandria V HarrisonDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; email: dmcclain@wakehealth.edu.
Felipe Ramos LorenzoDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; email: dmcclain@wakehealth.edu.
Donald A McClainDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; email: dmcclain@wakehealth.edu.
W. G. (Bill) Hefner VA Medical Center · USWake Forest University · US

Funding

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
Pilot & Feasibility ProgramP30DK124723 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicholette D. Allred · 2020 to 2026
$11.0M
Iron Reduction for the Treatment of Diabetes and Nonalcoholic Fatty Liver DiseaseR01DK119913 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MCCLAIN, DONALD A. · 2019 to 2024
$3.3M
Iron, the circadian clock, and diabetes riskI01BX001140 · VA · W G HEFNER VA MEDICAL CENTER · PI MCCLAIN, DONALD A. · 2011 to 2018
–
Mechanism of Integrative Metabolic Regulation by Iron and HypoxiaI01BX005109 · VA · W G HEFNER VA MEDICAL CENTER · PI MCCLAIN, DONALD A. · 2021 to 2024
–
BLRD VA I01 BX001140BLRD VA I01 BX005109NCATS NIH HHS UL1 TR001420NIDDK NIH HHS P30 DK124723NIDDK NIH HHS R01 DK119913
6 · The paper itself

Abstract

High iron is a risk factor for type 2 diabetes mellitus (T2DM) and affects most of its cardinal features: decreased insulin secretion, insulin resistance, and increased hepatic gluconeogenesis. This is true across the normal range of tissue iron levels and in pathologic iron overload. Because of iron's central role in metabolic processes (e.g., fuel oxidation) and metabolic regulation (e.g., hypoxia sensing), iron levels participate in determining metabolic rates, gluconeogenesis, fuel choice, insulin action, and adipocyte phenotype. The risk of diabetes related to iron is evident in most or all tissues that determine diabetes phenotypes, with the adipocyte, beta cell, and liver playing central roles. Molecular mechanisms for these effects are diverse, although there may be integrative pathways at play. Elucidating these pathways has implications not only for diabetes prevention and treatment, but also for the pathogenesis of other diseases that are, like T2DM, associated with aging, nutrition, and iron.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceIron OverloadHumansIronLiverIronadipocytediabeteshemochromatosishepcidininsuliniron

Identifiers

PMID36137277
PMCPMC10161568
OpenAlexW4296805679

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.