Evidence map›Paper›PMID 40108495›Full record

ArticleBMC pregnancy and childbirth2025

Increased circulating miR-155 identifies a subtype of preeclamptic patients.

Zhiyin Wang, Mingming Zheng, Honglei Duan, Yuan Wang, Yimin Dai, Huirong Tang, Ya Wang, Dan Liu, Chenrui Cao, Ning Gu and 4 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

14 authors.

Zhiyin Wang *Center for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Mingming Zheng *Center for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Honglei Duan *Center for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Yuan WangCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Yimin DaiCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Huirong TangCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Ya WangCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Dan LiuCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Chenrui CaoCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Ning GuCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Qiao WengCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China.
Yan ZhouDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, 94143, USA. yzhou1030@sbcglobal.net.
Guangfeng ZhaoCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China. guangfeng_zhao@126.com.
Yali HuCenter for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, China. yalihu@nju.edu.cn.

Funding

China Postdoctoral Science Foundation 2024M751408Nanjing Medical Science and Technique Development Foundation JQX23003National Key R&D Program of China 2021YFC2701603National Natural Science Foundation of China 81970605National Natural Science Foundation of China 82071666National Natural Science Foundation of China 82201872Natural Science Foundation of Jiangsu Province BK20211006Natural Science Foundation of Jiangsu Province BK20220186
6 · The paper itself

Abstract

introductionPreeclampsia is a common and severe pregnancy complication. The syndrome is highly heterogeneous, making accurate classification difficult, which is not conductive to find ways to predict and prevent this syndrome. Recently, we reported that high placental miR-155 defined a new subtype of preeclampsia. Here, we aimed to examine whether high maternal sero-miR-155 could be a marker to identify this subtype.

methodsTo explore whether the patients with high sero-miR-155 no matter in first and third trimester, we conducted a case-control and a longitudinal cohort study. We measured the sero-miR-155 levels at first, second and third trimesters in all pregnant women. Then, using the 95th percentile (P95) of sero-miR-155 in controls as the cut-off value, we divided the preeclamptic patients into high sero-miR-155 group (≥ P95) and normal sero-miR-155 group (< P95). We compared the difference of clinical manifestations between two groups and used t-distributed stochastic neighbor embedding (t-SNE) to evaluate whether the patients with high sero-miR-155 could be clustered as a subtype. Finally, we evaluated the predictive value of sero-miR-155 in the subtype.

resultsThe case-control study included 525 subjects (350 controls and 175 preeclampsia) and the longitudinal cohort study included 411 subjects (274 controls and 137 preeclampsia). Sero-miR-155 was significantly elevated in preeclampsia. Compared with preeclamptic patients with normal sero-miR-155 levels, the cases with high sero-miR-155 had significantly higher blood pressure and other severe preeclampsia-related complications. The incidences of HELLP syndrome [5.2% (5/96) vs. 0.9% (2/216), p < 0.01], visual disturbance [15.6% (15/96) vs. 4.6% (10/216), p < 0.01], hypertensive retinopathy [13.5% (13/96) vs. 3.2% (7/216), p < 0.01], and placenta abruption [7.3% (7/96) vs. 0.9% (2/216), p < 0.01] in patients with high miR-155 level were significantly increased. T-SNE analysis showed the patients with high sero-miR-155 were predominantly clustered on the left of the plot.

conclusionsThe patients with high sero-miR-155 exhibited more severe clinical manifestations and sero-miR-155 could be a biomarker to identify a subtype of preeclampsia with high sero-miR-155.

Indexed as

MicroRNAsPre-EclampsiaAdultBiomarkersCase-Control StudiesFemaleHumansLongitudinal StudiesPregnancyPregnancy Trimester, FirstPregnancy Trimester, ThirdBiomarkersMicroRNAsMIRN155 microRNA, humanHeterogeneousMiR-155PreeclampsiaSerumSubtype

Identifiers

PMID40108495
PMCPMC11921501

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.