Evidence map›Paper›PMID 38565861›Full record

ArticleScientific reports2024

The antihyperglycemic potential of pyrazolobenzothiazine 1, 1-dioxide novel derivative in mice using integrated molecular pharmacological approach.

Saman Taj, Usman Ali Ashfaq, Matloob Ahmad, Hasnat Noor, Ayesha Ikram, Rashid Ahmed, Muhammad Tariq, Muhammad Shareef Masoud, Anwarul Hasan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Saman TajDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Matloob AhmadDepartment of Chemistry, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Hasnat NoorDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Ayesha IkramDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
Rashid AhmedDepartment of Biotechnology, Faculty of Natural and Applied Sciences, Mirpur University of Science and Technology, New Mirpur City, 10250, Pakistan.
Muhammad TariqDepartment of Biotechnology, Faculty of Natural and Applied Sciences, Mirpur University of Science and Technology, New Mirpur City, 10250, Pakistan.
Muhammad Shareef MasoudDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan. masoudshareef@gcuf.edu.pk.
Anwarul HasanDepartment of Mechanical and Industrial Engineering, Qatar University, 2713, Doha, Qatar. ahasan@qu.edu.qa.

Funding

Qatar National Research Fund NPRP12S-0310-190276
6 · The paper itself

Abstract

Diabetes Mellitus is a metabolic disease characterized by elevated blood sugar levels caused by inadequate insulin production, which subsequently leads to hyperglycemia. This study was aimed to investigate the antidiabetic potential of pyrazolobenzothiazine derivatives in silico, in vitro, and in vivo. Molecular docking of pyrazolobenzothiazine derivatives was performed against α-glucosidase and α-amylase and compounds were selected based on docking score, bonding interactions and low root mean square deviation (RMSD). Enzyme inhibition assay against α-glucosidase and α-amylase was performed in vitro using p-nitrophenyl-α-D-glucopyranoside (PNPG) and starch substrate. Synthetic compound pyrazolobenzothiazine (S1) exhibited minimal conformational changes during the 100 ns MD simulation run. S1 also revealed effective IC50 values for α-glucosidase (3.91 µM) and α-amylase (8.89 µM) and an enzyme kinetic study showed low ki (- 0.186 µM, - 1.267 µM) and ki' (- 0.691 µM, - 1.78 µM) values with the competitive type of inhibition for both enzymes α-glucosidase and α-amylase, respectively. Moreover, studies were conducted to check the effect of the synthetic compound in a mouse model. A low necrosis rate was observed in the liver, kidney, and pancreas through histology analysis performed on mice. Compound S1 also exhibited a good biochemical profile with lower sugar level (110-115 mg/dL), increased insulin level (25-30 μM/L), and low level of cholesterol (85 mg/dL) and creatinine (0.6 mg/dL) in blood. The treated mice group also exhibited a low % of glycated haemoglobin (3%). This study concludes that S1 is a new antidiabetic-agent that helps lower blood glucose levels and minimizes the complications associated with type-II diabetes.

Indexed as

HyperglycemiaHypoglycemic Agentsalpha-Amylasesalpha-GlucosidasesAnimalsGlycoside Hydrolase InhibitorsInsulinMiceMolecular Docking SimulationStructure-Activity Relationshipalpha-Amylasesalpha-GlucosidasesGlycoside Hydrolase InhibitorsHypoglycemic AgentsInsulin

Identifiers

PMID38565861
PMCPMC10987501

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.