Evidence map›Paper›PMID 38553758›Full record

ArticleCardiovascular diabetology2024

Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus.

Maria Barranco-Altirriba, Núria Alonso, Ralf J M Weber, Gavin R Lloyd, Marta Hernandez, Oscar Yanes, Jordi Capellades, Andris Jankevics, Catherine Winder, Mireia Falguera and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

15 authors at 10 institutions in 4 countries.

Maria Barranco-AltirribaDepartment of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Núria AlonsoCIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
Ralf J M WeberSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Gavin R LloydSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Marta HernandezDepartment of Endocrinology & Nutrition, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain.
Oscar YanesCIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
Jordi CapelladesCIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
Andris JankevicsBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.
Catherine WinderSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Mireia FalgueraInstitut d'Investigació Biomèdica, Centre Atenció Primària Cervera, Gerència d'Atenció Primària, Universitat de Lleida, Institut Català de la Salut, Lleida, Spain.
Josep Franch-NadalCIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
Warwick B DunnSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Alexandre Perera-LlunaDepartament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain.
Esmeralda CastelblancoDivision of Endocrinology, Metabolism and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA. esmeraldacas@gmail.com.
Didac MauricioDepartment of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain. didacmauricio@gmail.com.
Instituto de Salud Carlos III · ESUniversity of Birmingham · GBCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESHospital Universitari Arnau de Vilanova · ESInstitut Català de la Salut · ESSant Joan de Déu Research Foundation · ESUniversity of Liverpool · GBUtrecht University · NLWashington University in St. Louis · US

Funding

Fundació la Marató de TV3 303/C/2016Instituto de Salud Carlos III PI15/0625Instituto de Salud Carlos III PI17/01362Ministerio de Economía y Competitividad PID2021-122952OB-I00
6 · The paper itself

Abstract

backgroundIn this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with diabetes overall and in both sexes, and lipids associated with the glycaemic state.

methodsAn untargeted lipidomic analysis was performed to measure the lipid profiles of 360 subjects (91 T1D, 91 T2D, 74 with prediabetes and 104 controls (CT)) without cardiovascular and/or chronic kidney disease. Ultra-high performance liquid chromatography-electrospray ionization mass spectrometry (UHPLC-ESI-MS) was conducted in two ion modes (positive and negative). We used multiple linear regression models to (1) assess the association between each lipid feature and each condition, (2) determine sex-specific differences related to diabetes, and (3) identify lipids associated with the glycaemic state by considering the prediabetes stage. The models were adjusted by sex, age, hypertension, dyslipidaemia, body mass index, glucose, smoking, systolic blood pressure, triglycerides, HDL cholesterol, LDL cholesterol, alternate Mediterranean diet score (aMED) and estimated glomerular filtration rate (eGFR); diabetes duration and glycated haemoglobin (HbA1c) were also included in the comparison between T1D and T2D.

resultsA total of 54 unique lipid subspecies from 15 unique lipid classes were annotated. Lysophosphatidylcholines (LPC) and ceramides (Cer) showed opposite effects in subjects with T1D and subjects with T2D, LPCs being mainly up-regulated in T1D and down-regulated in T2D, and Cer being up-regulated in T2D and down-regulated in T1D. Also, Phosphatidylcholines were clearly down-regulated in subjects with T1D. Regarding sex-specific differences, ceramides and phosphatidylcholines exhibited important diabetes-associated differences due to sex. Concerning the glycaemic state, we found a gradual increase of a panel of 1-deoxyceramides from normoglycemia to prediabetes to T2D.

conclusionsOur findings revealed an extensive disruption of lipid metabolism in both T1D and T2D. Additionally, we found sex-specific lipidome changes associated with diabetes, and lipids associated with the glycaemic state that can be linked to previously described molecular mechanisms in diabetes.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Prediabetic StateCeramidesCholesterol, HDLFemaleHumansLipidomicsMalePhosphatidylcholinesCeramidesCholesterol, HDLPhosphatidylcholinesSex-specific differencesType 1 diabetesType 2 diabetesUntargeted lipidomics

Identifiers

PMID38553758
PMCPMC10981308
OpenAlexW4393319497

What OpenQuestion holds

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LicenceCC BY
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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.