Evidence map›Paper›PMID 36660680›Full record

ArticleAnnals of translational medicine2022

Methylation-based epigenetic studies and gene integration analysis of preeclampsia.

Lei Jiang, Ruijing Chang, Jing Liu, Hong Xin

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Unveiling preeclampsia: diagnostic value and potential molecular mechanisms of abnormally methylated immune-related genes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  5. Article
  6. Article
  7. Review
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

4 authors at 1 institution in 1 country.

Lei JiangDepartment of Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Ruijing ChangDepartment of Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Jing LiuDepartment of Obstetrics, Shijiazhuang Maternity and Child Health Care Hospital, Shijiazhuang, China.
Hong XinDepartment of Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Second Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia (PE) is a multi-factor and multi-mechanism disease, which may jeopardize the life safety of affected pregnant women and fetuses. Our study aimed to detect the potential molecular indicators of PE that might be helpful for its diagnosis and treatment. Methods: Methylation assay of PE and normal pregnancies placental biopsies was analyzed using the Illumina Human Methylation-27 Assay. Differentially expressed genes (DEGs) were analyzed using R-DESeq2 software. Subsequently, the relationship between DNA methylation genes and DEGs were evaluated. Furthermore, immunohistochemical (IHC) and quantitative reverse transcription polymerase chain reaction (qRT-PCR) validation analyses were conducted for the hub genes. Results: These hub genes (including Conclusions: The molecular indicators identified in this study could facilitate the development of potential biomarkers and therapeutic targets for PE.

Indexed as

CpG sitesDNA methylationepigeneticsplacentaPreeclampsia (PE)

Identifiers

PMID36660680
PMCPMC9843334
OpenAlexW4312434739

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.