Evidence map›Paper›PMID 36645160›Full record

ArticleClinical and translational science2023

The relationship between high density lipoprotein cholesterol and sepsis: A clinical and genetic approach.

Ge Liu, Lan Jiang, V Eric Kerchberger, Annette Oeser, Andrea Ihegword, Alyson L Dickson, Laura L Daniel, Christian Shaffer, MacRae F Linton, Nancy Cox and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Association betweeneLife · 2023
    Article
  9. 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

14 authors at 2 institutions in 1 country.

Ge LiuDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Lan JiangDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
V Eric KerchbergerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Annette OeserDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Andrea IhegwordDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alyson L DicksonDivision of Rheumatology and Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Laura L DanielDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-3143-5915
Christian ShafferDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
MacRae F LintonDivision of Cardiovascular Medicine and the Atherosclerosis Research Unit, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Nancy CoxDepartment of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Cecilia P ChungDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-5908-9423
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
C Michael SteinDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
QiPing FengDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-6213-793X
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Non-coding RNA & Bioinformatics CoreP01HL116263 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KON, VALENTINA · 2014 to 2025
$24.7M
Genetics and Triglycerides: opportunities for new approaches to identify therapiesR01HL163854 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FENG, QIPING · 2022 to 2025
$3.1M
Pleiotropy of PCSK9 InhibitionR01GM120523 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FENG, QIPING · 2016 to 2020
$1.7M
Tissue-specific functional genomics in the acute respiratory distress syndromeK01HL157755 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KERCHBERGER, VERN ERIC · 2021 to 2025
$845k
NHLBI NIH HHS K01 HL157755NHLBI NIH HHS P01 HL116263NHLBI NIH HHS R01 HL163854NIGMS NIH HHS R01 GM120523
6 · The paper itself

Abstract

Sepsis accounts for one in three hospital deaths. Higher concentrations of high-density lipoprotein cholesterol (HDL-C) are associated with apparent protection from sepsis, suggesting a potential therapeutic role for HDL-C or drugs, such as cholesteryl ester transport protein (CETP) inhibitors that increase HDL-C. However, these beneficial clinical associations might be due to confounding; genetic approaches can address this possibility. We identified 73,406 White adults admitted to Vanderbilt University Medical Center with infection; 11,612 had HDL-C levels, and 12,377 had genotype information from which we constructed polygenic risk scores (PRS) for HDL-C and the effect of CETP on HDL-C. We tested the associations between predictors (measured HDL-C, HDL-C PRS, CETP PRS, and rs1800777) and outcomes: sepsis, septic shock, respiratory failure, and in-hospital death. In unadjusted analyses, lower measured HDL-C concentrations were significantly associated with increased risk of sepsis (p = 2.4 × 10

Indexed as

SepsisShock, SepticAdultCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDLHospital MortalityHumansCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDL

Identifiers

PMID36645160
PMCPMC10014701
OpenAlexW4316687335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.