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Metabolic Disorders - Crossref

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Last Updated: 23 May 2022

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Metabolic-Syndrome-Related Comorbidities in Narcolepsy Spectrum Disorders: A Preliminary Cross-Sectional Study in Japan

Narcolepsy types 1 and 2 and idiopathic hypersomnia are thought to be a disease continuum that is associated with narcolepsy spectrum disorders. In this cross-sectional study, Japanese patients with NSD aged 35 years were recruited. Demographic variables and MRD incidence were compared between patients in the respective NSD categories. Patients with NT1 had a higher body mass index and incidence of MRD than those with NT2 or IH. DQB1:06:02 positivity in NT1, BMI, and human leukocyte antigen (DQB1*06:02 in NT2, and only age in IH were factors associated with MRD incidence, although not age in IH were determinants of MRD incidence.

Source link: https://doi.org/10.3390/ijerph19106285


Minireview: Emerging Roles for Extracellular Vesicles in Diabetes and Related Metabolic Disorders

Specifically, EVs produced by the pancreatic -cell have been shown to control physiological and pathologic responses to -cell stress, including cytologic and pathologic changes to -cell proliferation and apoptosis. EVs are also capable of communicating with immune cells and may contribute to the development of autoimmune disorders that promote or promote -cell inflammation and destruction during diabetes development. EVs from adipose tissue have been shown to contribute to obesity and insulin resistance as a result of obesity and metabolic syndrome's chronic inflammation and insulin resistance can be exacerbated by interactions with other adipose, liver, and muscle cells. Circulating EVs can also be used as biomarkers for metabolic disorders and diabetes-related issues.

Source link: https://doi.org/10.1210/me.2015-1206


Gene co-expression analysis and Network biology studies in Indian population reveals functional similarities between Gastric cancer and other metabolic disorders

Objective: Gastric cancer is a multifactorial disease that has been traced to metabolic disorders. Gene expression profiling in various GC populations will help to prioritize diagnosis and treatment. The new research sought to identify the significant genes in a GC Indian population and its relationship with other metabolic disorders using microarray data analysis and network biology techniques. GC Indian population microarray datasets were obtained from Gene Expression Omnibus, normalized, and analyzed using GeneSpring. Cluster 1 was discovered to be statistically correct, according to a statistical analysis. Conclusion: It has been inferred from our findings that Thyroid hormone deficiency, aspart of Thyroid, Adrenal hormones, and Antidiuretic hormone functions plays a significant role in the prognosis and pathogenesis of GC Indian populations. Henceforth, GC should not be viewed as separate entity in the series of cancers and gene expression profiling, which may aid in the development of personalized medicine.

Source link: https://doi.org/10.3329/bjms.v21i3.59586

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions