Evidence map›Paper›PMID 41469713›Full record

ArticleJournal of translational medicine2025

Imbalances in circulating monocyte and high-density lipoprotein cholesterol exacerbates the residual risk of incident myocardial infarction beyond LDL-C: a real-life, prospective cohort study.

Dan Wu, Yulong Lan, Xiong Ding, Lois Balmer, Xingang Li, Wei Wang, Shouling Wu, Youren Chen

Erratum issuedAbstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Dan WuDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Jinping District, Shantou, 515041, China.
Yulong LanDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Jinping District, Shantou, 515041, China.
Xiong DingSchool of Public Health, Wuhan University, Wuhan, 430072, China.
Lois BalmerCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia.
Xingang LiCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia.
Wei WangCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Room 521, Building 21/270 Joondalup Drive, Perth, WA, 6027, Australia. wei.wang@ecu.edu.au.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Road, Lubei District, Tangshan, 063000, China. drwusl@163.com.
Youren ChenDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Jinping District, Shantou, 515041, China. yrchen3@stu.edu.cn.ORCID 0000-0003-4401-3279

Funding

Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province 202053-74Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province 202053-75Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province STKJ2023003
6 · The paper itself

Abstract

backgroundA sustained oversupply of monocytes and markedly decreased levels of high-density lipoprotein cholesterol (HDL-C) are notable in high-risk groups with residual cardiovascular risk, despite aggressive low-density lipoprotein cholesterol (LDL-C) lowering. This study aimed to explore whether an imbalance in circulating monocyte and HDL-C levels accounts for the residual risk of incident myocardial infarction (MI) within optimal LDL-C levels.

methodsA total of 48,522 participants free of cardiovascular diseases from a real-life, prospective cohort (Kailuan study) were included. The monocyte count, HDL-C level and monocyte-to-HDL-C ratio (MHR), calculated as time-averaged cumulative and baseline values, were used as the exposures. Time-to-event survival analyses were conducted to examine the association between exposure and MI incidence, especially tests for risk heterogeneity across different LDL-C levels and other potential confounders.

resultsDuring a median follow-up of 10.06 years, 573 MI events occurred. An elevated time-averaged MHR was positively correlated with clustering of traditional risk factors but inversely correlated with LDL-C levels. After adjusting for potential confounders, each 1-SD increase in the time-averaged monocyte count, HDL-C level and MHR was significantly associated with a risk of 1.18 (95% CI: 1.08-1.28), 0.86 (95% CI: 0.79-0.93) and 1.27 (95% CI: 1.16-1.38), respectively. Individuals with LDL-C levels between 1.8 and 2.6 mmol/L had the lowest MI incidence but the highest MI risk (1.50, 95% CI: 1.27-1.79) with exposure to time-averaged MHR. In contrast, individuals with LDL-C levels ≥ 3.4 mmol/L had the highest MI incidence, but nonsignificant MI risk (HR: 0.99, 95% CI 0.82-1.19) was associated with time-averaged MHR.

conclusionChronic imbalances in monocyte and HDL-C levels are significantly associated with incident MI among individuals with low LDL-C levels. Longitudinally tracing MHR changes and targeting elevated MHR may help to optimize risk assessment and management of MI.

Indexed as

Cholesterol, HDLCholesterol, LDLMonocytesMyocardial InfarctionAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsCholesterol, HDLCholesterol, LDLHigh-density lipoproteinInflammationLow-density lipoproteinMonocytesMonocyte-to-high-density lipoprotein ratioResidual cardiovascular risk

Identifiers

PMID41469713
PMCPMC12754891

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.