Background: Metabolic disorders comprise a set of different disorders varying from epidemic diseases such as diabetes mellitus to inborn metabolic orphan diseases such as phenylketonuria. Despite considerable evidence showing the importance of the computational methods in discovery and development of new pharmaceuticals, there are no systematic reviews outlining how they are utilized in the field of metabolic disorders. This review aims to discuss the necessity of the development of web-based tools and databases by integration of available information for solving Big Data problems in network pharmacology of metabolic disorders.
Methods: We undertook a structured search of bibliographic databases for peer-reviewed research literature using a focused review question and inclusion/exclusion criteria. The quality of retrieved papers was appraised using standard tools.
Results: The alterations in metabolic pathways cause various cardiovascular, hematological, neurological, gastrointestinal, immune disorders and cancer. In this regard, informatics, Big Data and modeling techniques aid in the design of novel therapeutic agents for metabolic diseases by addressing various Big Data problems in the network polypharmacology (drugs/pharmaceutical agents, proteins, genes, diseases, bioassays, ADMET and metabolic pathways), identification of privileged scaffolds, developing new diagnostic biomarkers, understanding the pathophysiology of disease and progress in personalized medicine.
Conclusion: The recent advances of developing pharmaceutical agents for various metabolic disorders by considering their pathogenesis, mechanisms of action, therapeutic and adverse effects have been summarized. We have highlighted the role of computational techniques, drug repurposing, and network-based polypharmacological approaches in the identification of new/existing medicines with improved drug-likeness properties for the rare metabolic disorders.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2174/0929867324666171002120647 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression.
Clin Interv Aging
January 2025
Department of Neurology, the Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, People's Republic of China.
Purpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD).
View Article and Find Full Text PDFClinical study on the effect of jejunoileal side-to-side anastomosis on metabolic parameters in patients with type 2 diabetes.
World J Diabetes
January 2025
Department of General Thoracic Surgery, Liaoning Electric Power Center Hospital, Shenyang 110000, Liaoning Province, China.
Background: At present, the existing internal medicine drug treatment can alleviate the high glucose toxicity of patients to a certain extent, to explore the efficacy of laparoscopic jejunoileal side to side anastomosis in the treatment of type 2 diabetes, the report is as follows.
Aim: To investigate the effect of jejunoileal side-to-side anastomosis on metabolic parameters in patients with type 2 diabetes mellitus (T2DM).
Methods: We retrospectively analyzed the clinical data of 78 patients with T2DM who were treated jejunoileal lateral anastomosis.
Prediabetes and atrial fibrillation risk stratification, phenotyping, and possible reversal to normoglycemia.
World J Diabetes
January 2025
Department of Internal Medicine, University of Tabuk, Tabuk 51941, Tabuk, Saudi Arabia.
Patients admitted with prediabetes and atrial fibrillation are at high risk for major adverse cardiac or cerebrovascular events independent of confounding variables. The shared pathophysiology between these three serious but common diseases and their association with atherosclerotic cardiovascular risk factors establish a vicious circle culminating in high atherogenicity. Because of that, it is of paramount importance to perform risk stratification of patients with prediabetes to define phenotypes that benefit from various interventions.
View Article and Find Full Text PDFDiabetes mellitus and glymphatic dysfunction: Roles for oxidative stress, mitochondria, circadian rhythm, artificial intelligence, and imaging.
World J Diabetes
January 2025
National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20810, United States.
Diabetes mellitus (DM) is a debilitating disorder that impacts all systems of the body and has been increasing in prevalence throughout the globe. DM represents a significant clinical challenge to care for individuals and prevent the onset of chronic disability and ultimately death. Underlying cellular mechanisms for the onset and development of DM are multi-factorial in origin and involve pathways associated with the production of reactive oxygen species and the generation of oxidative stress as well as the dysfunction of mitochondrial cellular organelles, programmed cell death, and circadian rhythm impairments.
View Article and Find Full Text PDFIntestinal glucagon-like peptide-1: A new regulator of impaired counterregulatory responses to hypoglycemia in type 1 diabetes mellitus.
World J Diabetes
January 2025
Department of Gastroenterology, The First People's Hospital of Foshan, Foshan 528000, Guangdong Province, China.
In this article, we review the study by Jin , which examined the role of intestinal glucagon-like peptide-1 (GLP-1) in counterregulatory responses to hypoglycemia in patients with type 1 diabetes mellitus (T1DM). With the global rise of T1DM, there is an increased burden on society and healthcare systems. Due to insulin therapy and islet dysfunction, T1DM patients are highly vulnerable to severe hypoglycemia, a leading cause of mortality.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!