Evidence map›Paper›PMID 38498375›Full record

ArticleDiabetes2024

Genetic Evidence of Causal Relation Between Intestinal Glucose Absorption and Early Postprandial Glucose Response: A Mendelian Randomization Study.

Simon Peschard, Violeta Raverdy, Pierre Bauvin, Rebecca Goutchtat, Veronique Touche, Bruno Derudas, Celine Gheeraert, Julie Dubois-Chevalier, Robert Caiazzo, Gregory Baud and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

18 authors at 2 institutions in 2 countries.

Simon PeschardEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Violeta RaverdyEuropean Genomic Institute for Diabetes, University Lille, Lille, France.ORCID 0000-0001-5754-2028
Pierre BauvinEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Rebecca GoutchtatEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Veronique ToucheEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Bruno DerudasEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Celine GheeraertEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Julie Dubois-ChevalierEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Robert CaiazzoEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Gregory BaudEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Camille MarciniakEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Helene VerkindtEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Naima Oukhouya DaoudEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Carel W Le RouxDiabetes Complications Research Centre, University College Dublin, Dublin, Ireland.ORCID 0000-0001-5521-5445
Philippe LefebvreEuropean Genomic Institute for Diabetes, University Lille, Lille, France.ORCID 0000-0002-9366-5129
Bart StaelsEuropean Genomic Institute for Diabetes, University Lille, Lille, France.ORCID 0000-0002-3784-1503
Sophie LestavelEuropean Genomic Institute for Diabetes, University Lille, Lille, France.ORCID 0000-0001-7839-4757
François PattouEuropean Genomic Institute for Diabetes, University Lille, Lille, France.
Inserm · FRUniversity College Dublin · IE

Funding

Agence Nationale de la Recherche ANR-16-RHUS-0006_PreciNASHEuropean Genomic Institute for Diabetes ANR-10-LABX-0046
6 · The paper itself

Abstract

The postprandial glucose response is an independent risk factor for type 2 diabetes. Observationally, early glucose response after an oral glucose challenge has been linked to intestinal glucose absorption, largely influenced by the expression of sodium-glucose cotransporter 1 (SGLT1). This study uses Mendelian randomization (MR) to estimate the causal effect of intestinal SGLT1 expression on early glucose response. Involving 1,547 subjects with class II/III obesity from the Atlas Biologique de l'Obésité Sévère cohort, the study uses SGLT1 genotyping, oral glucose tolerance tests, and jejunal biopsies to measure SGLT1 expression. A loss-of-function SGLT1 haplotype serves as the instrumental variable, with intestinal SGLT1 expression as the exposure and the change in 30-min postload glycemia from fasting glycemia (Δ30 glucose) as the outcome. Results show that 12.8% of the 1,342 genotyped patients carried the SGLT1 loss-of-function haplotype, associated with a mean Δ30 glucose reduction of -0.41 mmol/L and a significant decrease in intestinal SGLT1 expression. The observational study links a 1-SD decrease in SGLT1 expression to a Δ30 glucose reduction of -0.097 mmol/L. MR analysis parallels these findings, associating a statistically significant reduction in genetically instrumented intestinal SGLT1 expression with a Δ30 glucose decrease of -0.353. In conclusion, the MR analysis provides genetic evidence that reducing intestinal SGLT1 expression causally lowers early postload glucose response. This finding has a potential translational impact on managing early glucose response to prevent or treat type 2 diabetes. ARTICLE HIGHLIGHTS:

Indexed as

Blood GlucoseIntestinal AbsorptionMendelian Randomization AnalysisPostprandial PeriodSodium-Glucose Transporter 1AdultDiabetes Mellitus, Type 2FemaleGlucoseGlucose Tolerance TestHaplotypesHumansJejunumMaleMiddle AgedObesityBlood GlucoseGlucoseSLC5A1 protein, humanSodium-Glucose Transporter 1

Identifiers

PMID38498375
PMCPMC11109783
OpenAlexW4392907538

What OpenQuestion holds

Textmetadata
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Registered trials

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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 OpenQuestion graph.