Evidence map›Paper›PMID 31519699›Full record

ArticleDiabetes2020

Glucolipotoxicity, β-Cells, and Diabetes: The Emperor Has No Clothes.

Gordon C Weir

Open access · bronzeAbstract readComment
In one paragraph

Article in Diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
21.4field-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

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Gordon C WeirSection on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Harvard Medical School, Boston, MA gordon.weir@joslin.harvard.edu.ORCID 0000-0003-1456-0546
Joslin Diabetes Center · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Physiological Factors Driving Maturation of Neonatal Beta CellsR01DK093909 · NIDDK · JOSLIN DIABETES CENTER · PI BONNER-WEIR, SUSAN · 2011 to 2015
$1.8M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK093909
6 · The paper itself

Abstract

Reduction of β-cell mass and function is central to the pathogenesis of type 2 diabetes. The terms glucotoxicity, lipotoxicity, and glucolipotoxicity are used to describe potentially responsible processes. The premise is that chronically elevated glucose levels are toxic to β-cells, that elevated lipid levels in the form of circulating free fatty acids (FFA) also have toxic effects, and that the combination of the two, glucolipotoxicity, is particularly harmful. Much work has shown that high concentrations of FFA can be very damaging to β-cells when used for in vitro experiments, and when infused in large amounts in humans and rodents they produce suppression of insulin secretion. The purpose of this Perspective is to raise doubts about whether the FFA levels found in real-life situations are ever high enough to cause problems. Evidence supporting the importance of glucotoxicity is strong because there is such a tight correlation between defective insulin secretion and rising glucose levels. However, there is virtually no convincing evidence that the alterations in FFA levels occurring during progression to diabetes are pathogenic. Thus, the terms lipotoxicity and glucolipotoxicity should be used with great caution, if at all, because evidence supporting their importance has not yet emerged.

Indexed as

Diabetes Mellitus, Type 2Insulin-Secreting CellsFatty Acids, NonesterifiedHumansInsulin SecretionNutrientsStress, PhysiologicalFatty Acids, NonesterifiedNutrients

Identifiers

PMID31519699
PMCPMC7034184
OpenAlexW2973075538

What OpenQuestion holds

Textmetadata
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.