Evidence map›Paper›PMID 33737653›Full record

ArticleScientific reports2021

Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes.

Eleonora Porcu, Federica Gilardi, Liza Darrous, Loic Yengo, Nasim Bararpour, Marie Gasser, Pedro Marques-Vidal, Philippe Froguel, Gerard Waeber, Aurelien Thomas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Causal inference in health and disease: a review of the principles and applications of Mendelian randomization.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

11 authors at 5 institutions in 4 countries.

Eleonora Porcu *Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland. eleonora.porcu@unil.ch.
Federica Gilardi *Unit of Forensic Toxicology and Chemistry, CURML, Lausanne University Hospital and Geneva University Hospitals, Geneva, Switzerland.
Liza DarrousSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Nasim BararpourUnit of Forensic Toxicology and Chemistry, CURML, Lausanne University Hospital and Geneva University Hospitals, Geneva, Switzerland.
Marie GasserUnit of Forensic Toxicology and Chemistry, CURML, Lausanne University Hospital and Geneva University Hospitals, Geneva, Switzerland.
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Philippe FroguelInserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Gerard WaeberDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Aurelien ThomasUnit of Forensic Toxicology and Chemistry, CURML, Lausanne University Hospital and Geneva University Hospitals, Geneva, Switzerland.
Zoltán KutalikSwiss Institute of Bioinformatics, Lausanne, Switzerland. zoltan.kutalik@unil.ch.
University of Lausanne · CHUniversity Centre of Legal Medicine · CHInstitut Pasteur de Lille · FRUniversity Hospital of Geneva · CHUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of people affected by Type 2 diabetes mellitus (T2DM) is close to half a billion and is on a sharp rise, representing a major and growing public health burden. Given its mild initial symptoms, T2DM is often diagnosed several years after its onset, leaving half of diabetic individuals undiagnosed. While several classical clinical and genetic biomarkers have been identified, improving early diagnosis by exploring other kinds of omics data remains crucial. In this study, we have combined longitudinal data from two population-based cohorts CoLaus and DESIR (comprising in total 493 incident cases vs. 1360 controls) to identify new or confirm previously implicated metabolomic biomarkers predicting T2DM incidence more than 5 years ahead of clinical diagnosis. Our longitudinal data have shown robust evidence for valine, leucine, carnitine and glutamic acid being predictive of future conversion to T2DM. We confirmed the causality of such association for leucine by 2-sample Mendelian randomisation (MR) based on independent data. Our MR approach further identified new metabolites potentially playing a causal role on T2D, including betaine, lysine and mannose. Interestingly, for valine and leucine a strong reverse causal effect was detected, indicating that the genetic predisposition to T2DM may trigger early changes of these metabolites, which appear well-before any clinical symptoms. In addition, our study revealed a reverse causal effect of metabolites such as glutamic acid and alanine. Collectively, these findings indicate that molecular traits linked to the genetic basis of T2DM may be particularly promising early biomarkers.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBetaineBiomarkersCarnitineCase-Control StudiesDiabetes Mellitus, Type 2Early DiagnosisFemaleGlutamic AcidHumansLeucineLysineMaleMannoseBetaineBiomarkersCarnitineGlutamic AcidLeucineLysineMannoseValine

Identifiers

PMID33737653
PMCPMC7973501
OpenAlexW3138991136

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.