Evidence mapPaperPMID 40663155Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2025

Harnessing organoid technology to model autoimmune pathways in rheumatological and inflammatory disorders.

Amr Ali Mohamed Abdelgawwad El-Sehrawy, Teeba Ammar Rashid, Paul Rodrigues, Baneen C Gabaal, Suhas Ballal, Abhayveer Singh, T Krithiga, Mehul Manu, N Esanmurodova, Jamal K Abbas

Abstract readReview
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In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2025. 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
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

2 citing papers in PubMed.

  1. Article
  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

10 authors.

Amr Ali Mohamed Abdelgawwad El-SehrawyInternal Medicine, Diabetes, Endocrinology and Metabolism, Mansoura University, Mansoura, Egypt. sehrawyamr@gmail.com.
Teeba Ammar RashidMedical Laboratory Techniques Department, College of Health and Medical Technology, University of Al-Maarif, Anbar, Iraq. tabea.ammar@uoa.edu.iq.
Paul RodriguesDepartment of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Abha, Kingdom of Saudi Arabia.
Baneen C GabaalMedical Laboratory Technique College, the Islamic University, Najaf, Iraq.
Suhas BallalDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Abhayveer SinghCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
T KrithigaDepartment of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Mehul ManuDepartment of Allied Science (Physics), Hill University, Bhimtal, India.
N Esanmurodova"Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University, Tashkent, Uzbekistan.
Jamal K AbbasAl-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq.

Funding

King Khalid University RGP 2/257/1446
6 · The paper itself

Abstract

A collection of illnesses known as rheumatic immune diseases impacts the immune system and causes a range of physiological manifestations. In severe circumstances, these illnesses can raise the chance of death, inflict discomfort, and lower quality of life. Diagnosis and therapy are complicated due to the various illnesses, particular variances, and the disease's unexplained etiology. More investigation is required to offer fresh hints for the treatment of diseases. Illness initiation processes can be more accurately modeled by organoid technology, compensating for animal model variation among species. It has the potential to be a valuable tool for the research of rheumatic immune disorders. It can be a diagnostic tool for novel treatment targets and customized conditions according to patient-derived organoids. As a result, research on organoids and their use in rheumatic immunological disorders is compiled in this article. It also addresses the issues that must be resolved and offers a perspective on the possibilities of organoids in this area, generating fresh concepts for further study of these illnesses.

Indexed as

Autoimmune DiseasesInflammationOrganoidsRheumatic DiseasesAnimalsHumansAutoimmune diseasesOrganoid technologyRheumatic immunological disorders

Identifiers

What Socratic 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 Socratic graph.