Evidence map›Paper›PMID 32327699›Full record

ArticleJournal of human hypertension2021

Circulating miR-3135b and miR-107 are potential biomarkers for severe hypertension.

Jikang Shi, Yaxuan Ren, Yunkai Liu, Yi Cheng, Yawen Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Non-coding RNAs regulating mitochondrial function in cardiovascular diseases.Journal of molecular medicine (Berlin, Germany) · 2023
    Review
  5. Article
  6. Article
  7. 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

5 authors at 2 institutions in 1 country.

Jikang ShiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yaxuan RenDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yunkai LiuDepartment of Cardiovascular Diseases, The First Hospital of Jilin University, Changchun, 130021, China.
Yi ChengDepartment of Cardiovascular Diseases, The First Hospital of Jilin University, Changchun, 130021, China. chengyi@jlu.edu.cn.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China. ywliu@jlu.edu.cn.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a disease relating to multiple etiological factors. However, the molecular mechanisms of severe hypertension remain unclear. Whole-body circulatory dysregulation has been found to contribute to hypertension, documenting that circulating molecules are focused as pathological molecules implicated in hypertension. Circulating microRNAs (miRNAs) have been identified as important molecular biomarkers for hypertension. We screened and analyzed miRNAs differentially expressed in plasma in patients with severe hypertension and healthy controls using microarray profiling (six patients and six healthy controls for screening) and RT-qPCR (33 patients and 33 healthy controls for validation). We identified that miR-3135b and miR-107 are the differentially expressed miRNAs between severe hypertension and healthy controls, and the target genes independently regulated by the two miRNAs are remarkably different. MiR-3135b and miR-107 are potential biomarkers for severe hypertension.

Indexed as

Circulating MicroRNAHypertensionMicroRNAsBiomarkersHumansReal-Time Polymerase Chain ReactionBiomarkersCirculating MicroRNAMicroRNAsMIRN107 microRNA, human

Identifiers

PMID32327699
OpenAlexW3019750098

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.