ArticleFrontiers in microbiology2022
Characterization, antibacterial, antioxidant, antidiabetic, and anti-inflammatory activities of green synthesized silver nanoparticles using
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Anti-inflammatory activity of Silver Nanoparticles (AgNPs): An Updated Systematic review from in vivo, and in vitro studies.Inflammopharmacology · 2026Pooled it
- Biosynthesis of silver nanoparticles using Musca domestica extract as a novel bioresource for therapeutic evaluation.Discover nano · 2026Article
- Biogenic synthesis of silver nanoparticles using Zaleya pentandra and investigation of their biological activities.Scientific reports · 2025Article
- Green-Synthesized Silver Nanoparticles from Garlic Peel Target NF-κB and Redox Imbalance: A Novel Therapeutic Strategy Against Pyrogallol-Induced Hepatotoxicity in Rats.Nanomaterials (Basel, Switzerland) · 2025Article
- Biological and Chemical Co-surfactant for Fabrication of Antibacterial Silver Nanoparticles and Potential Application in Agriculture.Tropical life sciences research · 2025Article
- Mitigating Methotrexate-Induced Kidney Damage in Mice by theACS omega · 2025Article
- Biosynthesized Silver Nanoparticles and Their Antidiabetic Potential.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Cardioprotective Effects of Ferulic Acid Through Inhibition of Advanced Glycation End Products in Diabetic Rats with Isoproterenol-Induced Myocardial Infarction.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Review
- A systematic review on green synthesis of silver nanoparticles using plants extract and their bio-medical applications.Heliyon · 2024Review
- Evaluation of antioxidant and antihyperglycemic effectsMetabolism open · 2024Article
- Mitigation of oxidative stress and inflammatory factors, along with the antibrowning and antimicrobial effects of cassia seed microbial fermentation solution.Frontiers in microbiology · 2024Article
- Green synthesis of silver nanoparticles from plantFrontiers in pharmacology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Diabetes mellitus is a chronic metabolic disorder that exhibited great expansion all over the world. It is becoming an epidemic disease adding a major burden to the health care system, particularly in developing countries. Methods: The plant under investigation in the current study Results and Discussion: The results showed a decrease in body fat, obesity, an improvement in lipid profiles, normalization of hyperglycemia, insulin resistance, and hyperinsulinemia, and an improvement in liver tissue structure and function. However, the results obtained from AgNPs for both extract and the pure gallic acid were better in most measured parameters. Additionally, the activity of both the crude extract of the plant and its AgNPs were evaluated against a number of gram-positive, gram-negative bacteria and fungi. Although the activity of the crude extract ranged from moderate to weak or even non-active, the AgNPs of the plant extract clearly enhanced the antimicrobial activity. AgNPs of the extract demonstrated remarkable activity, especially against the Gram-negative pathogens
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Registered trials
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.