Evidence map›Paper›PMID 37106834›Full record

ReviewBiology2023

Uterine Transcriptome: Understanding Physiology and Disease Processes.

Gregory W Kirschen, Kamran Hessami, Abdelrahman AlAshqar, Sadia Afrin, Bethlehem Lulseged, Mostafa Borahay

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biology, 2023. 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
1.6field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Gregory W KirschenDepartment of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.
Kamran HessamiMaternal Fetal Care Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Abdelrahman AlAshqarDepartment of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0002-1283-7460
Sadia AfrinDepartment of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0001-5063-9900
Bethlehem LulsegedSchool of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Mostafa BorahayDepartment of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-0554-132X
Johns Hopkins University · USBoston Children's Hospital · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Mechanisms of actions(s) of simvastatin in uterine leiomyomaR01HD094380 · NICHD · JOHNS HOPKINS UNIVERSITY · PI BORAHAY, MOSTAFA A. · 2018 to 2022
$4.0M
NCATS NIH HHS UL1 TR001863NICHD NIH HHS R01 HD094380NIH HHS R01HD094380
6 · The paper itself

Abstract

In recent years, transcriptomics has enabled us to gain a deeper understanding of fundamental reproductive physiology, including the menstrual cycle, through a more precise molecular analysis. The endometrial mRNA transcript levels fluctuate during the normal menstrual cycle, indicating changes in the relative recruitment and abundance of inflammatory cells, as well as changes in the receptivity and remodeling of the endometrium. In addition to providing a more comprehensive understanding of the molecular underpinnings of pathological gynecological conditions such as endometriosis, leiomyomas, and adenomyosis through RNA sequencing, this has allowed researchers to create transcriptome profiles during both normal menstrual cycles and pathological gynecological conditions. Such insights could potentially lead to more targeted and personalized therapies for benign gynecological conditions. Here, we provide an overview of recent advances in transcriptome analysis of normal and pathological endometrium.

Indexed as

endometriosisfibroidsleiomyomasmicroRNAmRNARNA sequencingtranscriptomics

Identifiers

PMID37106834
PMCPMC10136129
OpenAlexW4366772908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.