Evidence map›Paper›PMID 41683891›Full record

ReviewInternational journal of molecular sciences2026

Decoding Membrane Lipids: Analytical Barriers and Technological Advances in Modern Lipidomics.

Kyung-Hee Kim, Byong Chul Yoo

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

2 authors.

Kyung-Hee KimDepartment of Applied Chemistry, School of Science and Technology, Kookmin University, Seoul 02707, Republic of Korea.
Byong Chul YooDiagnostic Research Team, InnoBation Bio R&D Center, Seoul 03929, Republic of Korea.

Funding

the Ministry of Health & Welfare, Republic of Korea RS-2025-02243055
6 · The paper itself

Abstract

Biological membranes are dynamic, information-rich platforms whose structural and functional properties are dictated by lipid composition rather than acting as passive barriers. Recent advances in lipidomics have revealed that variations in lipid headgroups, acyl-chain length and saturation, sn-positional architecture, and oxidative modifications profoundly influence membrane mechanics, lateral organization, and protein-lipid interactions. These features collectively regulate fundamental cellular processes, including signaling, trafficking, curvature generation, and transbilayer asymmetry. In parallel, a wide range of pathological conditions-including cancer, metabolic disorders, neurodegeneration, and inflammatory diseases-are increasingly associated with coordinated lipid remodeling that reshapes membrane material properties and electrostatic landscapes. In this review, we integrate biophysical principles with lipidomics-based evidence to elucidate how lipid chemical diversity translates into membrane-level behavior. We discuss the roles of major membrane lipid classes, the functional consequences of acyl-chain and sn-positional remodeling, and the biological significance of lipid asymmetry and lateral heterogeneity. Particular attention is given to disease-associated lipid reprogramming and extracellular vesicle lipidomes as functional extensions of cellular membranes. Finally, we examine key analytical barriers in modern lipidomics and outline strategies required to connect lipid structural information with biological function. Together, this framework highlights membrane lipid architecture as a central determinant of cellular physiology and a promising axis for mechanistic insight and translational biomarker discovery.

Indexed as

Cell MembraneLipidomicsMembrane LipidsAnimalsHumansMembrane MicrodomainsMembrane Lipidsacyl-chain compositionceramidesextracellular vesiclelipidomicslipid raftsmembrane asymmetrymembrane curvaturemembrane lipidsphosphatidylserinephospholipid remodeling

Identifiers

PMID41683891
PMCPMC12898859

What OpenQuestion holds

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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.