Evidence map›Paper›PMID 28952033›Full record

ReviewJournal of inherited metabolic disease2018

Metabolic pathways at the crossroads of diabetes and inborn errors.

Eric S Goetzman, Zhenwei Gong, Manuel Schiff, Yan Wang, Radhika H Muzumdar

Open access · greenAbstract readReview
In one paragraph

Review in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Do inborn errors of metabolism confer or impede the risk of diabetes?Journal of inherited metabolic disease · 2018
    Article
  7. 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

5 authors at 2 institutions in 2 countries.

Eric S GoetzmanDepartment of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA. Eric.goetzman@chp.edu.ORCID 0000-0001-9476-309X
Zhenwei GongDepartment of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA.
Manuel SchiffUMR1141, PROTECT, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
Yan WangDepartment of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA.
Radhika H MuzumdarDepartment of Pediatrics, School of Medicine, University of Pittsburgh, 4401 Penn Ave, Pittsburgh, PA, 15224, USA.
University of Pittsburgh · USInserm · FR

Funding

Regulation of Peroxisomal Metabolism by Lysine AcylationR01DK090242 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOETZMAN, ERIC S · 2011 to 2024
$5.4M
NIDDK NIH HHS DK090242NIDDK NIH HHS R01 DK090242
6 · The paper itself

Abstract

Research over the past two decades has led to advances in our understanding of the genetic and metabolic factors that underlie the pathogenesis of type 2 diabetes mellitus (T2DM). While T2DM is defined by its hallmark metabolic symptoms, the genetic risk factors for T2DM are more immune-related than metabolism-related, and the observed metabolic disease may be secondary to chronic inflammation. Regardless, these metabolic changes are not benign, as the accumulation of some metabolic intermediates serves to further drive the inflammation and cell stress, eventually leading to insulin resistance and ultimately to T2DM. Because many of the biochemical changes observed in the pre-diabetic state (i.e., ectopic lipid storage, increased acylcarnitines, increased branched-chain amino acids) are also observed in patients with rare inborn errors of fatty acid and amino acid metabolism, an interesting question is raised regarding whether isolated metabolic gene defects can confer an increased risk for T2DM. In this review, we attempt to address this question by summarizing the literature regarding the metabolic pathways at the crossroads of diabetes and inborn errors of metabolism. Studies using cell culture and animal models have revealed that, within a given pathway, disrupting some genes can lead to insulin resistance while for others there may be no effect or even improved insulin sensitivity. This differential response to ablating a single metabolic gene appears to be dependent upon the specific metabolic intermediates that accumulate and whether these intermediates subsequently activate inflammatory pathways. This highlights the need for future studies to determine whether certain inborn errors may confer increased risk for diabetes as the patients age.

Indexed as

Energy MetabolismInsulin ResistanceAmino AcidsAnimalsBlood GlucoseDiabetes Mellitus, Type 2HumansInflammation MediatorsLipidsMetabolism, Inborn ErrorsPrognosisRisk AssessmentRisk FactorsAmino AcidsBlood GlucoseInflammation MediatorsLipids

Identifiers

PMID28952033
PMCPMC6757345
OpenAlexW2756548467

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.