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Lipoproteins

Drugs and Chemicals · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 3 min read

Lipid-protein complexes involved in the transportation and metabolism of lipids in the body.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 3 complete abstracts (430 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Lipid-protein complexes involved in the transportation and metabolism of lipids in the body. They are spherical particles consisting of a hydrophobic core of triglycerides and cholesterol esters surrounded by a layer of hydrophilic free cholesterol; phospholipids; and apolipoproteins. Lipoproteins are classified by their varying buoyant density and sizes.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Circulating Lipoproteins; Lipoproteins, Circulating; Lipoprotein.

Where it fits in the MeSH classification

Broader topics
Lipids; Proteins
Narrower topics
Apolipoproteins; ATP Binding Cassette Transporter, Subfamily G, Member 5; ATP Binding Cassette Transporter, Subfamily G, Member 8; Chylomicrons; Lipoprotein(a); Lipoprotein-X; Lipoproteins, HDL; Lipoproteins, IDL; Lipoproteins, LDL; Lipoproteins, VLDL
See also
Apolipoproteins; Hyperlipoproteinemias; Hypolipoproteinemias; Lipoid Proteinosis of Urbach and Wiethe; Proteolipids; Receptors, Lipoprotein; Lipid-Linked Proteins

Related concepts

  • Triglycerides
  • Cholesterol Esters
  • Cholesterol
  • Phospholipids
  • Apolipoproteins

Research landscape

PubMed indexes 173,798 records tagged with the MeSH heading “Lipoproteins” (counts retrieved 2026-10-31). 26,940 of them (15.5%) were published from 2020 onward, and the busiest period so far is through 1999 with 60,884 records.

Reviews account for 19,370 records (11.1%) and meta-analyses for 2,135. Randomized controlled trials number 9,712 (5.6%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 60,884 records; 2000-2009: 41,279 records; 2010-2019: 44,695 records; 2020 onward: 26,940 records60,884through 199941,2792000-200944,6952010-201926,9402020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199960,884
2000-200941,279
2010-201944,695
2020 onward26,940
Share of records by publication typeReviews: 11.1 percent; Meta-analyses: 1.2 percent; Randomized controlled trials: 5.6 percentReviews11.1% (19,370)Meta-analyses1.2% (2,135)Randomized controlled trials5.6% (9,712)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 173,798 PubMed records
TypeRecordsShare
Reviews19,37011.1%
Meta-analyses2,1351.2%
Randomized controlled trials9,7125.6%

Method: PubMed query "Lipoproteins"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in drugs and chemicals

Studies of a chemical or drug can answer very different questions: what it is and how it behaves in cells and animals, how the body handles it, and whether it changes outcomes in people. Laboratory and animal findings often do not carry over to patients, and observational studies of exposures are confounded by who uses a substance and why. Nothing on this page is a recommendation to use, avoid, start or stop any substance or medicine; talk to a qualified clinician or pharmacist about your own situation. Check the dose, the species, the comparison group and whether a patient-relevant outcome was measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Proteomic signatures of the APOE ε4 and APOE ε2 genetic variants and Alzheimer's disease
Lu L, Pichet Binette A, Hristovska I, Janelidze S, Smets B, Cumplido-Mayoral I, et al.
2026Research article
Design not recorded in structured metadata
5cc by
PMID 42141098 · DOI · PMC13190297
Lipid Nanoparticle Protein Coronas Arise through Lipoprotein Fusion Rather Than Shell-like Adsorption
Grumelot S, Mohammed N, Yerima G, Colonrosado J, Sadeghi SA, Fang F, et al.
2026Research article
Design not recorded in structured metadata
4cc by
PMID 42677364 · DOI · PMC13523733
Lipoprotein(a) and residual cardiovascular risks in Japanese patients with coronary artery disease who achieve guideline-recommended low-density lipoprotein cholesterol goals
Kataoka Y, Ray KK, Nicholls SJ, Katasako-Yabumoto A, Kitahara S, Hosoda H, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 42177636 · DOI · PMC13696080

Proteomic signatures of the APOE ε4 and APOE ε2 genetic variants and Alzheimer's disease [1]

Research article Lu L, Pichet Binette A, Hristovska I, Janelidze S, Smets B, Cumplido-Mayoral I, et al. · · 2026 · cited 5 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The APOE locus is the strongest genetic factor for Alzheimer's disease, with ε4 increasing and ε2 decreasing risk, yet the basis of these opposing effects remains unclear.
Closing excerpt
Together, these findings reveal that APOE2 and APOE4 shape Alzheimer's disease risk through distinct molecular architectures and identify candidate biomarkers and targets for allele-specific interventions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (149 words)

The APOE locus is the strongest genetic factor for Alzheimer's disease, with ε4 increasing and ε2 decreasing risk, yet the basis of these opposing effects remains unclear. Here we performed a multicohort proteomic analysis across plasma and cerebrospinal fluid in GNPC, BioFINDER-2, ADNI, UK BioBank, and PPMI. APOE-associated protein alterations are detectable before amyloid pathology and remain stable across age and disease progression. APOE2-associated proteins were enriched in pathways related to cellular maintenance and anti-inflammatory processes. By contrast, APOE4 showed a limited set of upstream mediators linked to cell-cycle and oligodendrocyte precursor cell biology, and a broader group of proteins reflecting vascular, immune, and proteostatic dysfunction shaped by downstream pathology. Comparative analyses highlighted allele-specific mediators and oppositely regulated proteins contributing to differential disease risk. Together, these findings reveal that APOE2 and APOE4 shape Alzheimer's disease risk through distinct molecular architectures and identify candidate biomarkers and targets for allele-specific interventions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42141098 · DOI · PMC13190297

Lipid Nanoparticle Protein Coronas Arise through Lipoprotein Fusion Rather Than Shell-like Adsorption [2]

Research article Grumelot S, Mohammed N, Yerima G, Colonrosado J, Sadeghi SA, Fang F, et al. · · 2026 · cited 4 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The protein corona influences the in vivo biodistribution of ionizable lipid nanoparticles (LNPs) in nucleic acid delivery, yet their structural architecture remains poorly defined.
Closing excerpt
Together, these findings support a model in which the biological identity of LNPs arises through membrane remodeling rather than shell-like adsorption and provide a framework for the rational design of targeted nanomedicines.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (142 words)

The protein corona influences the in vivo biodistribution of ionizable lipid nanoparticles (LNPs) in nucleic acid delivery, yet their structural architecture remains poorly defined. Using cryo-transmission electron microscopy, we visualized LNP-protein interactions in their native state. We show that, unlike the discrete "fuzzy" shells observed on hard nanoparticles, LNPs displayed no peripheral protein shell. Instead, controlled incubation and competitive "dual-particle" assays, supported by molecular dynamics simulations, indicate that LNP membranes undergo localized thickening and electron-dense remodeling consistent with lipoprotein integration rather than surface adsorption. Similar features were observed in extracellular vesicles, suggesting that this behavior is shared among lipid-based carriers, and proteomic analysis identified apolipoproteins as the dominant associated proteins. Together, these findings support a model in which the biological identity of LNPs arises through membrane remodeling rather than shell-like adsorption and provide a framework for the rational design of targeted nanomedicines.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42677364 · DOI · PMC13523733

Lipoprotein(a) and residual cardiovascular risks in Japanese patients with coronary artery disease who achieve guideline-recommended low-density lipoprotein cholesterol goals [3]

Research article Kataoka Y, Ray KK, Nicholls SJ, Katasako-Yabumoto A, Kitahara S, Hosoda H, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Background and aimsCurrent guidance recommends better LDL-C control in patients with elevated Lp(a) as Lp(a) lowering therapies are unavailable.
Closing excerpt
The Lp(a) threshold amongst Japanese patients with CAD at risk of recurrent events appears lower than in Caucasian populations which merits further evaluation.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (139 words)

Background and aimsCurrent guidance recommends better LDL-C control in patients with elevated Lp(a) as Lp(a) lowering therapies are unavailable. Whether risks attributable to Lp(a) are mitigated in patients with CAD who achieved LDL-C MethodsMulticentre retrospective observational study analysed 1581 Japanese patients with CAD [Lp(a)-JAPAN: jRCT1050260016]. Risk of MACE (cardiac-caused death + nonfatal MI + coronary revascularization in non-culprit segments) was compared according to Lp(a) levels (ResultsDuring the 5.1-year observation amongst patients with LDL-C ≥55mg/dL (n=1069), MACE occurred in 21.3% with risk of MACE increasing with Lp(a) levels (3.9, 7.9, and 11.0 events per 100 person-years for ConclusionsWhilst lower achieved LDL-C attenuates in part the risk from Lp(a), elevated Lp(a) levels still associate with worse cardiovascular outcomes. The Lp(a) threshold amongst Japanese patients with CAD at risk of recurrent events appears lower than in Caucasian populations which merits further evaluation.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42177636 · DOI · PMC13696080

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis [4]
    Jansen WJ, Ossenkoppele R, Knol DL, Tijms BM, Scheltens P, Verhey FR, et al. · JAMA · 2015 · cited 1,362 times (Europe PMC)
  • Research article Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis [5]
    Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al. · JAMA · 2016 · cited 1,116 times (Europe PMC)
  • Research article Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials [6]
    Cholesterol Treatment Trialists' (CTT) Collaboration, Fulcher J, O'Connell R, Voysey M, Emberson J, Blackwell L, et al. · Lancet · 2015 · cited 1,094 times (Europe PMC)
  • Research article Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials [7]
    Willeit P, Ridker PM, Nestel PJ, Simes J, Tonkin AM, Pedersen TR, et al. · Lancet · 2018 · cited 439 times (Europe PMC)
  • Research article A meta-analysis of genome-wide association studies identifies multiple longevity genes [8]
    Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, et al. · Nat Commun · 2019 · cited 332 times (Europe PMC)
  • Research article Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis [9]
    Lotta LA, Sharp SJ, Burgess S, Perry JRB, Stewart ID, Willems SM, et al. · JAMA · 2016 · cited 330 times (Europe PMC)

References

  1. Lu L, Pichet Binette A, Hristovska I, Janelidze S, Smets B, Cumplido-Mayoral I, et al.. Proteomic signatures of the APOE ε4 and APOE ε2 genetic variants and Alzheimer's disease. . 2026. PMID 42141098 · DOI · PMC13190297
  2. Grumelot S, Mohammed N, Yerima G, Colonrosado J, Sadeghi SA, Fang F, et al.. Lipid Nanoparticle Protein Coronas Arise through Lipoprotein Fusion Rather Than Shell-like Adsorption. . 2026. PMID 42677364 · DOI · PMC13523733
  3. Kataoka Y, Ray KK, Nicholls SJ, Katasako-Yabumoto A, Kitahara S, Hosoda H, et al.. Lipoprotein(a) and residual cardiovascular risks in Japanese patients with coronary artery disease who achieve guideline-recommended low-density lipoprotein cholesterol goals. . 2026. PMID 42177636 · DOI · PMC13696080
  4. Jansen WJ, Ossenkoppele R, Knol DL, Tijms BM, Scheltens P, Verhey FR, et al.. Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. JAMA. 2015. PMID 25988462 · DOI · PMC4486209
  5. Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al.. Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis. JAMA. 2016. PMID 27673306 · DOI
  6. Cholesterol Treatment Trialists' (CTT) Collaboration, Fulcher J, O'Connell R, Voysey M, Emberson J, Blackwell L, et al.. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet. 2015. PMID 25579834 · DOI
  7. Willeit P, Ridker PM, Nestel PJ, Simes J, Tonkin AM, Pedersen TR, et al.. Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials. Lancet. 2018. PMID 30293769 · DOI
  8. Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, et al.. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun. 2019. PMID 31413261 · DOI · PMC6694136
  9. Lotta LA, Sharp SJ, Burgess S, Perry JRB, Stewart ID, Willems SM, et al.. Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis. JAMA. 2016. PMID 27701660 · DOI · PMC5386134

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

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Related research topics

  • HDL CholesterolDrugs and Chemicals
  • LDL CholesterolDrugs and Chemicals
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  • Apolipoproteins ADrugs and Chemicals

All 546 articles in Drugs and Chemicals →

At a glance

173,798
PubMed records on this heading
16%
published since 2020
19,370
review articles
9,712
randomized trials
9
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • HDL CholesterolDrugs and Chemicals
  • LDL CholesterolDrugs and Chemicals
  • HDL LipoproteinsDrugs and Chemicals
  • ChylomicronsDrugs and Chemicals
  • Apolipoprotein A-IDrugs and Chemicals

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Sources

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  • PubMed search used ↗

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