Evidence map›Paper›PMID 39905472›Full record

ArticleDiabetology & metabolic syndrome2025

ZBiotics ameliorates T2DM-induced histopathological damage in liver, kidney and adipose tissues by modulating the NOD-like receptor signaling in Wistar rats.

Mohammed Esawie, Marwa Matboli, Mariam Sameh Bushra, Amany H Hasanin, Eman Kamal Habib, Reham Hussein Mohamed, Hebatalla Said Ali

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Mohammed EsawieDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.ORCID http://orcid.org/0000-0003-4794-6453
Marwa MatboliDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Mariam Sameh BushraDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt. mariamsameh09@med.asu.edu.eg.
Amany H HasaninClinical Pharmacology Department, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Eman Kamal HabibHuman Anatomy and Embryology Department, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Reham Hussein MohamedClinical Pharmacology Department, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.
Hebatalla Said AliDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt.

Funding

Academy of Scientific Research and Technology 5090
6 · The paper itself

Abstract

Probiotics serve as promising candidates in type 2 diabetes mellitus (T2DM) therapy. Not only they presumably reduce the T2DM prevalence, but also keep down its complications. In the present study, we explored the beneficial impact of ZBiotics, an engineered probiotic, on T2DM Wistar rats. In silico analysis was performed to construct a genetic-epigenetic network linked to STING-NOD pathway and autophagy signaling. Then, 30 Wistar rats were divided into 5 groups (each n = 6); normal group, diabetic model, B. subtilis, and ZBiotics treated rats at high and low doses. Experimental procedures were carried out including biochemical and histopathologic analyses. Samples were extracted from rats' blood, liver, kidney and adipose tissues. At the molecular aspect, the molecular players, chosen by the in silico analysis, were assessed using 2

Indexed as

LC3BSTING-NODTNF-alphaType 2 diabetes mellitusZBiotics

Identifiers

PMID39905472
PMCPMC11792315

What Socratic 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 Socratic graph.