Evidence mapPaperPMID 41002985Full record

ReviewMetabolites2025

Impact of Dietary Interventions on the Human Plasma and Lipoprotein Lipidome.

Rosa Casas, Nancy D Sánchez-García, Ramon Estruch, Anallely López-Yerena

Abstract readReview
In one paragraph

Review in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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.

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

4 authors.

Rosa CasasDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, 08036 Barcelona, Spain.ORCID 0000-0002-0211-9166
Nancy D Sánchez-GarcíaPolyphenol Research Group, Departament of Nutrition, Food Science and Gastronomy, Faculty of Pharmacy and Food Science, University of Barcelona, 08028 Barcelona, Spain.
Ramon EstruchDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, 08036 Barcelona, Spain.
Anallely López-YerenaDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, 08036 Barcelona, Spain.ORCID 0000-0002-4333-9798

Funding

Sara Borrell" program funded by Instituto de Salud Carlos III (CD24/00118) and co-financed by the European Union (European Social Fund Plus, ESF+). CD24/00118
6 · The paper itself

Abstract

Lipids are structurally diverse biomolecules that play essential roles in cellular function, energy storage, and signaling. The human lipidome, a dynamic and complex subset of the metabolome, is shaped by both endogenous factors, such as genetics, sex, age, and metabolic health, and exogenous influences like lifestyle, diet, and microbiota. Among these, diet stands out as one of the most modifiable and impactful determinants, influencing lipid composition across plasma, serum, and lipoprotein fractions. While traditional lipid profiling provides limited insight, lipidomics enables comprehensive characterization of lipid species, revealing mechanistic links between lipid metabolism and diseases such as cardiovascular disease (CVD), metabolic syndrome (MetS), and inflammatory disorders. This review explores: (1) the relationship between lipid profiles and CVD risk, (2) the internal and external modulators of the lipidome, and (3) current evidence on how specific dietary patterns, including Mediterranean, Nordic, low glycemic, and vegetarian diets, and individual nutrients such as omega-3 fatty acids (FAs), plant sterols, and mycoprotein, influence lipidomic profiles. Advances in lipidomics highlight that dietary fat quality, food matrix, and eating patterns can significantly modulate lipid species such as triacylglycerols (TAGs), ceramides (Cers), and phospholipids, with implications for cardiometabolic health. Notably, distinct responses are observed across plasma High-Density Lipoprotein (HDL) and Low-Density Lipoprotein (LDL) lipidomes, emphasizing the need for compartment-specific analyses. Understanding these diet-lipidome interactions offers promising avenues for precision nutrition and the development of lipid-based biomarkers for disease prevention and management.

Indexed as

HDLLDLLipidomemetabolic healthnutritional modulationserum

Identifiers

PMID41002985
PMCPMC12471598

What Socratic 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 Socratic graph.