Evidence map›Paper›PMID 34855149›Full record

ArticleJournal of cardiovascular translational research2022

Association of Circulating Biomarkers of lnc-IGSF3-1:1, SCOC-AS1, and SLC8A1-AS1 with Salt Sensitivity of Blood Pressure in Chinese Population.

Wenjuan Peng, Yunyi Xie, Juan Xia, Bingxiao Li, Fengxu Zhang, Fuyuan Wen, Kuo Liu, Han Cao, Han Qi, Ling Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Wenjuan PengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Yunyi XieDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Juan XiaDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Bingxiao LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Fengxu ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Fuyuan WenDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Kuo LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Han CaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China.
Han QiThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, 100088, China.
Ling ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10, Xi Toutiao You Anmenwai, Fengtai District, Beijing, 100069, China. zlilyepi@ccmu.edu.cn.ORCID 0000-0003-2468-864X
Capital Medical University · CN

Funding

National Key Research and Development Program of China 2016YFC0900603Natural Science Foundation of China 81373076Natural Science Foundation of China 81973121
6 · The paper itself

Abstract

Accumulating evidence suggested that long non-coding RNAs (lncRNAs) could play biological roles in cardiovascular diseases. We investigated whether lncRNAs can serve as biomarkers for salt sensitivity of blood pressure (SSBP). Participants were divided into salt-sensitive (SS) and salt-resistant (SR) ones by oral saline test. LncRNAs were tested by microarray (N = 20) and two-stage qRT-PCR (N = 89 and 228). We identified five differently expressed lncRNAs (lnc-IGSF3-1:1, SCOC-AS1, SLC8A1-AS1, KCNQ1OT1, and lnc-GNG-10-3:1) between SS and SR. In single-lncRNA analyses, lnc-IGSF3-1:1 displayed better diagnostic performance in hypertensive patients (AUC = 0.840), while SCOC-AS1 in normotensive (AUC = 0.810). In multi-lncRNA analyses, lnc-IGSF3-1:1 + SCOC-AS1 + SLC8A1-AS1 combination showed the best diagnostic performance in hypertensive (AUC = 0.853) and normotensive groups (AUC = 0.873). We constructed a lncRNA-mRNA-GO-KEGG-disease network by bioinformatic analysis; lnc-IGSF3-1:1 and SLC8A1-AS1 were identified as hub biomarkers. Our findings suggest that lnc-IGSF3-1:1, SCOC-AS1, and SLC8A1-AS1 may represent as genetic susceptible biomarkers for SSBP, and had different SS diagnostic performance in hypertensive patients and normotensive individuals.

Indexed as

HypertensionRNA, Long NoncodingBiomarkersBlood PressureCarrier ProteinsChinaHumansImmunoglobulinsMembrane ProteinsSodium-Calcium ExchangerBiomarkersCarrier ProteinsIGSF3 protein, humanImmunoglobulinsMembrane ProteinsRNA, Long NoncodingSCOC protein, humanSodium-Calcium Exchangersodium-calcium exchanger 1BiomarkersDiagnostic efficiencyGenetic susceptibilityLong non-coding RNASalt sensitivity

Identifiers

PMID34855149
OpenAlexW3215405775

What OpenQuestion holds

Textmetadata
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.