Evidence map›Paper›PMID 37386457›Full record

ArticleLipids in health and disease2023

Proteomic and functional analysis of HDL subclasses in humans and rats: a proof-of-concept study.

Canxia Huang, Jie Zhang, Jingjing Huang, Hongwei Li, Kexin Wen, Jinlan Bao, Xiaoying Wu, Runlu Sun, Ayiguli Abudukeremu, Yue Wang and 5 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Improving Lipid Profiles ThroughFoods (Basel, Switzerland) · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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.

Canxia Huang *Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Jie Zhang *Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Jingjing HuangGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Hongwei LiGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Kexin WenGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Jinlan BaoGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Xiaoying WuGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Runlu SunGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Ayiguli AbudukeremuGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Yue WangGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Zhijian HeGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Qiaofei ChenGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Xinyi HuangGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
Hong WangCenters for Metabolic & Cardiovascular Research, Department of Pharmacology, Temple University School of Medicine, Philadelphia, PA, 19140, USA. hongw@temple.edu.
Yuling ZhangGuangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China. zhyul@mail.sysu.edu.cn.

Funding

Guangzhou Science and Technology Plan Project 202102010218Major Fund for International Cooperation in Guangdong Province 2021A0505030021National Natural Science Foundation of China 81970388Natural Science Foundation of Guangdong Province 2021A1515012359
6 · The paper itself

Abstract

backgroundThe previous study investigated whether the functions of small, medium, and large high density lipoprotein (S/M/L-HDL) are correlated with protein changes in mice. Herein, the proteomic and functional analyses of high density lipoprotein (HDL) subclasses were performed in humans and rats.

methodsAfter purifying S/M/L-HDL subclasses from healthy humans (n = 6) and rats (n = 3) using fast protein liquid chromatography (FPLC) with calcium silica hydrate (CSH) resin, the proteomic analysis by mass spectrometry was conducted, as well as the capacities of cholesterol efflux and antioxidation was measured.

resultsOf the 120 and 106 HDL proteins identified, 85 and 68 proteins were significantly changed in concentration among the S/M/L-HDL subclasses in humans and rats, respectively. Interestingly, it was found that the relatively abundant proteins in the small HDL (S-HDL) and large HDL (L-HDL) subclasses did not overlap, both in humans and in rats. Next, by searching for the biological functions of the relatively abundant proteins in the HDL subclasses via Gene Ontology, it was displayed that the relatively abundant proteins involved in lipid metabolism and antioxidation were enriched more in the medium HDL (M-HDL) subclass than in the S/L-HDL subclasses in humans, whereas in rats, the relatively abundant proteins associated with lipid metabolism and anti-oxidation were enriched in M/L-HDL and S/M-HDL, respectively. Finally, it was confirmed that M-HDL and L-HDL had the highest cholesterol efflux capacity among the three HDL subclasses in humans and rats, respectively; moreover, M-HDL exhibited higher antioxidative capacity than S-HDL in both humans and rats.

conclusionsThe S-HDL and L-HDL subclasses are likely to have different proteomic components during HDL maturation, and results from the proteomics-based comparison of the HDL subclasses may explain the associated differences in function.

Indexed as

AntioxidantsProteomicsAnimalsCholesterolHumansLipoproteins, HDLMiceProof of Concept StudyRatsAntioxidantsCholesterolLipoproteins, HDLAntioxidationCholesterol effluxFast protein liquid chromatographyHDL subclassHigh density lipoproteinProteomics

Identifiers

PMID37386457
PMCPMC10308741

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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.