Evidence map›Paper›PMID 36979858›Full record

ArticleBiomedicines2023

Designing Effective Multi-Target Drugs and Identifying Biomarkers in Recurrent Pregnancy Loss (RPL) Using In Vivo, In Vitro, and In Silico Approaches.

Andrés Alexis Ramírez-Coronel, Amirabbas Rostami, Laith A Younus, José Luis Arias Gonzáles, Methaq Hadi Lafta, Ali H Amin, Mohammed Abdulkadhim Saadoon, Hayder Mahmood Salman, Abolfazl Bahrami, Rossa Feilei and 1 more

Open access · goldFull text read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Genomics of pregnancy loss.Journal of assisted reproduction and genetics · 2026
    Review
  2. 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

11 authors at 9 institutions in 9 countries.

Andrés Alexis Ramírez-CoronelEpidemiology and Biostatistics Group, Research Group in Educational Statistics, National University of Education (UNAE), Azogues 030102, Ecuador.ORCID 0000-0002-6996-0443
Amirabbas RostamiDepartment of Internal Medicine, Faculty of General Medicine, Yerevan State Medical University, Yerevan 375010, Armenia.
Laith A YounusDepartment of Clinical Laboratory Sciences, Faculty of Pharmacy, Jabir Ibn Hayyan Medical University, Al Najaf Al Ashraf 54001, Iraq.
José Luis Arias GonzálesPontificia Universidad Católica Del Peru, Lima 15001, Peru.
Methaq Hadi LaftaIraqi Ministry of Education, Baghdad 10011, Iraq.
Ali H AminDeanship of Scientific Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia.
Mohammed Abdulkadhim SaadoonDirectorate General of Education Karkh 1, Ministry of Education, Baghdad 10011, Iraq.
Hayder Mahmood SalmanDepartment of Computer Science, Al-Turath University College Al Mansour, Baghdad 10011, Iraq.
Abolfazl BahramiBiomedical Center for Systems Biology Science Munich, Ludwig-Maximilians-University, 80333 Munich, Germany.ORCID 0000-0001-7330-4134
Rossa FeileiDepartment of Cell Biology, Tuebingen University, 72072 Tuebingen, Germany.
Reza Akhavan-SigariDepartment of Neurosurgery, University Medical Center, 72072 Tuebingen, Germany.
University of Tübingen · DEAl-Turath University · IQIraqi University · IQLudwig-Maximilians-Universität München · DEMansoura University · EGPontificia Universidad Católica del Perú · PEUniversity of Alkafeel · IQUniversity of Cuenca · ECYerevan State Medical University · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrent pregnancy loss (RPL) occurs in approximately 5% of women. Despite an abundance of evidence, the molecular mechanism of RPL's pathology remains unclear. Here, we report the protective role of polo-like kinase 1 (PLK1) during RPL. We aimed to construct an RPL network utilizing GEO datasets and identified hub high-traffic genes. We also investigated whether the expressions of PLK1 were altered in the chorionic villi collected from women with RPL compared to those from healthy early pregnant women. Gene expression differences were evaluated using both pathway and gene ontology (GO) analyses. The identified genes were validated using in vivo and in vitro models. Mice with PLK1-overexpression and PLK1-knockdown in vitro models were produced by transfecting certain plasmids and si-RNA, respectively. The apoptosis in the chorionic villi, mitochondrial function, and NF-κB signaling activity was evaluated. To suppress the activation of PLK1, the PLK1 inhibitor BI2536 was administered. The HTR-8/SVneo and JEG-3 cell lines were chosen to establish an RPL model in vitro. The NF-κB signaling, Foxo signaling, PI3K/AKT, and endometrial cancer signaling pathways were identified via the RPL regulatory network. The following genes were identified:

Indexed as

biomarkershub geneshub high traffic geneNF-κB signaling pathwaypolo-like kinase 1recurrent pregnancy lossRPL

Identifiers

PMID36979858
PMCPMC10045586
OpenAlexW4324143468

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read57
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 Socratic graph.