Literature DB >> 34019900

Overview of key molecular and pharmacological targets for diabetes and associated diseases.

Seyed Hossein Shahcheraghi1, Alaa A A Aljabali2, Mazhar S Al Zoubi3, Vijay Mishra4, Nitin B Charbe5, Yusuf A Haggag6, Garima Shrivastava7, Abdulmajeed G Almutary8, Abdullah M Alnuqaydan8, Debmalya Barh9, Kamal Dua10, Dinesh K Chellappan11, Gaurav Gupta12, Marzieh Lotfi13, Ángel Serrano-Aroca14, Bojlul Bahar15, Yogendra Kumar Mishra16, Kazuo Takayama17, Pritam Kumar Panda18, Hamid A Bakshi19, Murtaza M Tambuwala20.   

Abstract

Diabetes epidemiological quantities are demonstrating one of the most important communities' health worries. The essential diabetic difficulties are including cardiomyopathy, nephropathy, inflammation, and retinopathy. Despite developments in glucose decreasing treatments and drugs, these diabetic complications are still ineffectively reversed or prohibited. Several signaling and molecular pathways are vital targets in the new therapies of diabetes. This review assesses the newest researches about the key molecules and signaling pathways as targets of molecular pharmacology in diabetes and diseases related to it for better treatment based on molecular sciences. The disease is not cured by current pharmacological strategies for type 2 diabetes. While several drug combinations are accessible that can efficiently modulate glycemia and mitigate long-term complications, these agents do not reverse pathogenesis, and in practice, they are not established to modify the patient's specific molecular profiling. Therapeutic companies have benefited from human genetics. Genome exploration, which is agnostic to the information that exists, has revealed tens of loci that impact glycemic modulation. The physiological report has begun to examine subtypes of diseases, illustrate heterogeneity and propose biochemical therapeutic pathways.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetes; Diabetic complications; Molecular pharmacology; Signaling pathways; Targets

Year:  2021        PMID: 34019900     DOI: 10.1016/j.lfs.2021.119632

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  3 in total

1.  OptNCMiner: a deep learning approach for the discovery of natural compounds modulating disease-specific multi-targets.

Authors:  Seo Hyun Shin; Seung Man Oh; Jung Han Yoon Park; Ki Won Lee; Hee Yang
Journal:  BMC Bioinformatics       Date:  2022-06-07       Impact factor: 3.307

2.  Prevalence and Clinical Significance of Occult Pulmonary Infection in Elderly Patients with Type 2 Diabetes Mellitus.

Authors:  Jian Hua; Ping Huang; Honghui Liao; Xiaobing Lai; Xiaoyi Zheng
Journal:  Biomed Res Int       Date:  2021-12-02       Impact factor: 3.411

3.  Frontiers in metabolic physiology grand challenges.

Authors:  John D Imig
Journal:  Front Physiol       Date:  2022-08-10       Impact factor: 4.755

  3 in total

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