Evidence mapPaperPMID 40922034Full record

Trial reportCardiovascular diabetology2025

Effect of Empagliflozin on the plasma lipidome in patients with type 2 diabetes mellitus: results from the EmDia clinical trial.

Katrin I Bauer, Dhanwin Baker, Raissa Lerner, Thomas Koeck, Gregor Buch, Zlatka Fischer, Robin Martens, Ekaterina E Esenkova, Maximilian Nuber, Miguel A Andrade-Navarro and 5 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT02932436. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

NCT02932436 phase4completed

A Phase IV, Single-center, Randomized, Double-blind, Placebo-controlled, Parallel Group Study on the Effects of Empagliflozin on Left Ventricular Diastolic Function Compared to Usual Care in Individuals With Type 2 Diabetes

Ran2016Enrolled144Registered outcomes39Posted comparisons0ConditionsDiabetes Mellitus, Type 2, Diastolic DysfunctionArmsempagliflozin, Placebo
Open the trial in the graph
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

15 authors.

Katrin I BauerComputational Biomedicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Dhanwin BakerClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Mainz, Germany.
Raissa LernerClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Mainz, Germany.
Thomas KoeckClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Gregor BuchClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Zlatka FischerClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Robin MartensClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Ekaterina E EsenkovaComputational Biomedicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Maximilian NuberComputational Biomedicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Miguel A Andrade-NavarroInstitute of Organismic and Molecular Evolution, Johannes-Gutenberg University Mainz, Mainz, Germany.
Vincent Ten CateClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Stefan TenzerInstitute of Immunology, University Medical Center of the Johannes-Gutenberg University Mainz, Mainz, Germany.
Philipp S WildClinical Epidemiology and Systems Medicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany.
Laura BindilaClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Mainz, Germany.
Elisa AraldiComputational Biomedicine, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany. araldiel@uni-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSodium-glucose cotransporter 2 (SGLT2) inhibitors, such as Empagliflozin, are antidiabetic drugs that reduce glucose levels and have emerged as a promising therapy for patients with heart failure (HF), although the exact molecular mechanisms underlying their cardioprotective effects remain to be fully elucidated. The EmDia study, a randomized, double-blind trial conducted at the University Medical Center of Mainz, has confirmed the beneficial effects of Empagliflozin in HF patients after both one and twelve weeks of treatment. In this work, we aimed to assess whether changes in lipid profiles driven by Empagliflozin use in HF patients in the EmDia trial could assist in gaining a better understanding of its cardioprotective mechanisms.

methodsLipid analysis of blood plasma from 144 patients from the EmDia trial was conducted using 4D-LC-TIMS/IMS lipidomics. Lipid signatures after treatment for one and twelve weeks, respectively, were obtained with sparse group LASSO regularized regression models. Linear regression models were employed to highlight associations between significantly changed clinical traits and lipids.

resultsThe lipid signatures after one week of treatment consisted of 37 lipids from the lipid groups lysophosphatidylcholine (LPC), phosphatidylcholine (PC), phosphatidylethanolamine (PE), sphingomyelin (SM), and triacylglycerol (TG). After twelve weeks, the signature comprised 24 lipids from the same five lipid groups, along with Ceramides (Cer). Three of five lipids altered at both time points showed consistent directional trends. Empagliflozin treatment led to significant alterations in the lipidome, including increases in both beneficial lipids, such as LPCs, and potentially harmful species, notably ceramides, which have been implicated in lipotoxicity and cardiovascular risk.

conclusionThis study identified distinct lipid signatures associated with Empagliflozin treatment after both one and twelve weeks, respectively, with five lipids overlapping between signatures and three with consistent directions, revealing that some of the beneficial effects of Empagliflozin could be through lipid modulation. Notably, Empagliflozin-modulated lipids associated with changes in clinical traits and lipid-specific profiles among clinical subgroups were observed. However, challenges remain in establishing direct associations between individual lipids and clinical outcomes. Future research integrating lipidomics data with other omics datasets could provide a more comprehensive understanding of the identified lipid signatures and their potential roles in health and diseases.

trial registrationClinicalTrials.gov; NCT02932436. Registration date, 2016/10/13.

Indexed as

Benzhydryl CompoundsBlood GlucoseDiabetes Mellitus, Type 2GlucosidesHeart FailureLipidomicsLipidsSodium-Glucose Transporter 2 InhibitorsAgedBiomarkersDouble-Blind MethodFemaleHumansMaleMiddle AgedTime FactorsBenzhydryl CompoundsBiomarkersBlood GlucoseempagliflozinGlucosidesLipidsSodium-Glucose Transporter 2 InhibitorsClinical trialEmpagliflozinHFpEFLipidomicsSGLT2i

Identifiers

PMID40922034
PMCPMC12418620

What Socratic holds

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Registered trials

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 Socratic graph.