Evidence map›Paper›PMID 38818188›Full record

ArticleHeliyon2024

Eupatilin mitigates Gestational diabetes in streptozotocin-induced diabetic pregnant rats through the Regulation of inflammation and oxidative stress.

Yan Zhou, Xiaoyan Zhang, Yun Guo, Abdullah A Alarfaj, Jing Liu

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. 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

5 authors.

Yan ZhouDepartment of Gynecology and Obstetrics, XD Group Hospital, Xi'an, 710077, China.
Xiaoyan ZhangDepartment of Obstetrics, People's Hospital of Leling, Dezhou City, 253600, China.
Yun GuoDepartment of Obstetrics, People's Hospital of Leling, Dezhou City, 253600, China.
Abdullah A AlarfajDepartment of Botany and Microbiology, College of Science, King Saud University, P. O. Box.2455, Riyadh, 11451, Saudi Arabia.
Jing LiuDepartment of Obstetrics, Hubei Provincia Hospital of Integrated Traditional Chinese & Western Medicine, Wuhan, 430015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a common metabolic disease that is typically diagnosed in pregnant women. The current study was aimed at disclosing the salutary activities of eupatilin against streptozotocin (STZ)-induced GDM in rats. The pregnant rats were induced with GDM and then treated with eupatilin for 20 days. The bodyweight, pup numbers and survival, glucose, and insulin levels were estimated. The levels of biochemical markers, antioxidants, and lipid profiles were measured using kits. The histopathological analysis was done on the pancreas and liver tissues. The eupatilin effectively reduced glucose and boosted insulin levels in the GDM rats. The pup numbers and their survival index were increased by the eupatilin treatment. The lipase, creatinine, AST, ALT, and urea levels were effectively reduced by the eupatilin in the GDM rats. Eupatilin treatment also decreased oxidative stress by increasing antioxidant levels and reducing inflammatory cytokine levels in the GDM rats. The cholesterol, LDL, and triglyceride levels were effectively decreased, and HDL was elevated by eupatilin. The results of histopathological analysis of both liver and pancreatic tissues also demonstrated the therapeutic properties of eupatilin. In conclusion, the current results prove that eupatilin can be an effective salutary candidate to treat GDM.

Indexed as

DyslipidemiaEupatilinHyperglycemiaInflammationMalondialdehyde

Identifiers

PMID38818188
PMCPMC11137385

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.