Evidence map›Paper›PMID 38585081›Full record

ArticleACS omega2024

Biochemical Investigation of Therapeutic Efficacy of Berberine-Enriched Extract in Streptozotocin-Induced Metabolic Impairment.

Muhammad Sajid Hamid Akash, Sahrish Yaqoob, Kanwal Rehman, Amjad Hussain, Zunera Chauhdary, Ahmed Nadeem, Asif Shahzad, Muhammad Ajmal Shah, Pharkphoom Panichayupakaranant

Abstract read
In one paragraph

Article in ACS omega, 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

9 authors.

Muhammad Sajid Hamid AkashDepartment of Pharmaceutical Chemistry, Government College University, Faisalabad 38000, Punjab, Pakistan.ORCID https://orcid.org/0000-0002-9446-5233
Sahrish YaqoobDepartment of Pharmaceutical Chemistry, Government College University, Faisalabad 38000, Punjab, Pakistan.
Kanwal RehmanDepartment of Pharmacy, The Women University, Multan 6000, Pakistan.ORCID https://orcid.org/0000-0001-7873-6681
Amjad HussainInstitute of Chemistry, University of Okara, Okara 56300, Punjab, Pakistan.ORCID https://orcid.org/0000-0003-1697-7580
Zunera ChauhdaryDepartment of Pharmaceutical Chemistry, Government College University, Faisalabad 38000, Punjab, Pakistan.ORCID https://orcid.org/0000-0003-4191-8697
Ahmed NadeemDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Asif ShahzadDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Yunnan 650031, China.
Muhammad Ajmal ShahDepartment of Pharmacy, Hazara University, Mansehra 21300, Pakistan.ORCID https://orcid.org/0000-0003-3471-184X
Pharkphoom PanichayupakaranantDepartment of Pharmacognosy and Pharmaceutical Botany, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Hat-Yai 90112, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic disorders pose significant global health challenges, necessitating innovative therapeutic approaches. This study focused on the multifaceted therapeutic potential of berberine-enriched extract (BEE) in mitigating metabolic impairment induced by streptozotocin (STZ) in a rat model and compared the effects of BEE with berberine (BBR) and metformin (MET) to comprehensively evaluate their impact on various biochemical parameters. Our investigation reveals that BEE surpasses the effects of BBR and MET in ameliorating metabolic impairment, making it a promising candidate for managing metabolic disorders. For this, 30 male Wistar rats were divided into five groups (

Identifiers

PMID38585081
PMCPMC10993375

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LicenceCC BY-NC-ND
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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.