Diabetes has become common lifestyle disorder associated with obesity and cardiovascular diseases. Environmental factors like physical inactivity, polluted surroundings and unhealthy dieting also plays a vital role in diabetes pathogenesis. As the current anti-diabetic drugs possess unprecedented side effects, traditional herbal medicine can be used an alternative therapy. The paramount challenge with the herbal formulation usage is the lack of standardized procedure, entangled with little knowledge on drug safety and mechanism of drug action. Heavy metal contamination is a major environmental hazard where plants tend to accumulate toxic metals like nickel, chromium and lead through industrial and agricultural activities. It becomes inappropriate to use these plants for phytotherapy as it may affect the human health on long term consumption. This review discuss about the environmental risk factors related to diabetes and better implication of medicinal plants in anti-diabetic therapy using network pharmacology. It is an in silico analytical tool that helps to unravel the multi-targeted action of herbal formulations rich in secondary metabolites. Also, a special focus is attempted to pool the databases regarding the medicinal plants for diabetes and associated diseases, their bioactive compounds, possible diabetic targets, drug-target interaction and toxicology reports that may open an aisle in safer, effective and toxicity-free drug discovery.
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http://dx.doi.org/10.1016/j.envres.2021.111656 | DOI Listing |
BMC Bioinformatics
January 2025
College of Artificial Intelligence, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu, China.
Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicrobial resistance of microorganisms due to the increasing abuse of antibiotics in medicine and agriculture around the globe. In this study, we propose UniAMP, a systematic prediction framework for discovering AMPs. We observe that feature vectors used in various existing studies constructed from peptide information, such as sequence, composition, and structure, can be augmented and even replaced by information inferred by deep learning models.
View Article and Find Full Text PDFNPJ Sci Food
January 2025
Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, South Korea.
Chronic stress disrupts gut microbiota homeostasis, contributing to anxiety and depression. This study explored the effects of Limosilactobacillus reuteri fermented brown rice (FBR) on anxiety using an ICR mouse chronic mild stress (CMS) model. Anxiety was assessed through body weight, corticosterone levels, neurotransmitter profiles, and behavioral tests.
View Article and Find Full Text PDFToxicon
January 2025
College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China. Electronic address:
Strychni Semen is the dried ripe seeds of the plant Strychnos nux-vomica L, and has great medicinal value and developmental potential.However, Strychni Semen is severely toxic, with adverse effects on the central nervous system, urinary system, and other organ systems, and severe cases can be life-threatening. The present study was to reveal the mechanism of nephrotoxicity induced by Strychni Semen and its alkaloid components using experiments.
View Article and Find Full Text PDFFitoterapia
January 2025
Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China. Electronic address:
Background: Ginseng-Schisandra chinensis (GSC) decoction has shown good efficacy in the treatment of asthma, but its t mechanism in the treatment of asthma is still not fully understood.
Purpose: This study aims to elucidate the therapeutic mechanism of GSC for AS by identifying the active components of GSC.
Methods: The chemical composition of GSC was analyzed using UHPLC-MS/MS.
J Ethnopharmacol
January 2025
College of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012 Anhui, China; Institute of Pharmaceutics, Anhui Academy of Chinese Medicine, Hefei 230012 Anhui, China; MOE-Anhui Joint Collaborative Innovation Center for Quality Improvement of Anhui Genuine Chinese Medicinal Materials, Hefei 230012 Anhui, China; Anhui Engineering Research Center for Quality Improvement and Utilization of Genuine Chinese Medicinal Materials, Hefei 230012 Anhui, China; Center for Xin'an Medicine and Modernization of Traditional Chinese Medicine of IHM, Anhui University of Chinese Medicine, Hefei 230012 Anhui, China. Electronic address:
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