Evidence map›Paper›PMID 38926753›Full record

Observational studyLipids in health and disease2024

Sex differences in lipidomic and bile acid plasma profiles in patients with and without coronary artery disease.

Benjamin Bay, Marceline M Fuh, Julia Rohde, Anna Worthmann, Alina Goßling, Natalie Arnold, Lukas Koester, Thiess Lorenz, Christopher Blaum, Paulus Kirchhof and 5 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04936438 (Clinical Cohort Study - INTERCATH), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT04936438 unknown statusnot on this map

Clinical Cohort Study - INTERCATH: A Diseased Cohort Based Epidemiologic, Prospective, Single Center Cohort Study for Novel Research in Cardiovascular Risk Prediction Using a Sophisticated Biobank

Typeobservational_patient_registrySponsorUniversity of Hamburg-EppendorfRan2015 to 2025Enrolled5,000ConditionsCoronary Artery Disease, Coronary Disease, Coronary Syndrome, SCAD
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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.

Benjamin Bay *Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany. b.bay@uke.de.
Marceline M Fuh *Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Julia RohdeDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Anna WorthmannDepartment of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Alina GoßlingDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Natalie ArnoldDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Lukas KoesterDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Thiess LorenzDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Christopher BlaumDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Paulus KirchhofDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Stefan BlankenbergDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Moritz SeiffertDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Fabian J BrunnerDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Christoph Waldeyer *Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Joerg Heeren *Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany. heeren@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipids, including phospholipids and bile acids, exert various signaling effects and are thought to contribute to the development of coronary artery disease (CAD). Here, we aimed to compare lipidomic and bile acid profiles in the blood of patients with and without CAD stratified by sex.

methodsFrom 2015 to 2022, 3,012 patients who underwent coronary angiography were recruited in the INTERCATH cohort. From the overall cohort, subgroups were defined using patient characteristics such as CAD vs. no CAD, 1st vs. 3rd tertile of LDL-c, and female vs. male sex. Hereafter, a matching algorithm based on age, BMI, hypertension status, diabetes mellitus status, smoking status, the Mediterranean diet score, and the intake of statins, triglycerides, HDL-c and hs-CRP in a 1:1 ratio was implemented. Lipidomic analyses of stored blood samples using the Lipidyzer platform (SCIEX) and bile acid analysis using liquid chromatography with tandem mass spectrometry (LC‒MS/MS) were carried out.

resultsA total of 177 matched individuals were analyzed; the median ages were 73.5 years (25th and 75th percentile: 64.1, 78.2) and 71.9 years (65.7, 77.2) for females and males with CAD, respectively, and 67.6 years (58.3, 75.3) and 69.2 years (59.8, 76.8) for females and males without CAD, respectively. Further baseline characteristics, including cardiovascular risk factors, were balanced between the groups. Women with CAD had decreased levels of phosphatidylcholine and diacylglycerol, while no differences in bile acid profiles were detected in comparison to those of female patients without CAD. In contrast, in male patients with CAD, decreased concentrations of the secondary bile acid species glycolithocholic and lithocholic acid, as well as altered levels of specific lipids, were detected compared to those in males without CAD. Notably, male patients with low LDL-c and CAD had significantly greater concentrations of various phospholipid species, particularly plasmalogens, compared to those in high LDL-c subgroup.

conclusionsWe present hypothesis-generating data on sex-specific lipidomic patterns and bile acid profiles in CAD patients. The data suggest that altered lipid and bile acid composition might contribute to CAD development and/or progression, helping to understand the different disease trajectories of CAD in women and men. REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT04936438 , Unique identifier: NCT04936438.

Indexed as

Bile Acids and SaltsCoronary Artery DiseaseLipidomicsAgedCholesterol, HDLCholesterol, LDLCohort StudiesFemaleHumansMaleMiddle AgedSex CharacteristicsSex FactorsTandem Mass SpectrometryTriglyceridesBile Acids and SaltsCholesterol, HDLCholesterol, LDLTriglyceridesAtherosclerosisBile acidsCardiovascular diseaseLipidomicsSex

Identifiers

PMID38926753
PMCPMC11201360

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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 OpenQuestion graph.