Displaying publications 41 - 45 of 45 in total

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  1. Teoh SL, Das S
    Tumour Biol., 2016 Nov;37(11):14363-14380.
    PMID: 27623943
    Obesity continues to be a major global problem. Various cancers are related to obesity and proper understanding of their aetiology, especially their molecular tumour biology is important for early diagnosis and better treatment. Genes play an important role in the development of obesity. Few genes such as leptin, leptin receptor encoded by the db (diabetes), pro-opiomelanocortin, AgRP and NPY and melanocortin-4 receptors and insulin-induced gene 2 were linked to obesity. MicroRNAs control gene expression via mRNA degradation and protein translation inhibition and influence cell differentiation, cell growth and cell death. Overexpression of miR-143 inhibits tumour growth by suppressing B cell lymphoma 2, extracellular signal-regulated kinase-5 activities and KRAS oncogene. Cancers of the breast, uterus, renal, thyroid and liver are also related to obesity. Any disturbance in the production of sex hormones and insulin, leads to distortion in the balance between cell proliferation, differentiation and apoptosis. The possible mechanism linking obesity to cancer involves alteration in the level of adipokines and sex hormones. These mediators act as biomarkers for cancer progression and act as targets for cancer therapy and prevention. Interestingly, many anti-cancerous drugs are also beneficial in treating obesity and vice versa. We also reviewed the possible link in the mechanism of few drugs which act both on cancer and obesity. The present review may be important for molecular biologists, oncologists and clinicians treating cancers and also pave the way for better therapeutic options.
    Matched MeSH terms: Obesity/genetics*
  2. Vasanth Rao VRB, Candasamy M, Bhattamisra SK
    Diabetes Metab Syndr, 2019 05 07;13(3):2112-2120.
    PMID: 31235145 DOI: 10.1016/j.dsx.2019.05.004
    Obesity is a complex disorder that is linked to many coexisting disorders. Recent epidemiological data have suggested that the prevalence of obesity is at an all-time high, growing to be one of the world's biggest problems. There are several mechanisms on how individuals develop obesity which includes genetic and environmental factors. Not only does obesity contribute to other health issues but it also greatly affects the quality of life, physical ability, mental strength and imposes a huge burden in terms of healthcare costs. Along with that, obesity is associated with the risk of mortality and has been shown to reduce the median survival rate. Obesity is basically when the body is not able to balance energy intake and output. When energy intake exceeds energy expenditure, excess calories will be stored as fat leading to weight gain and eventually obesity. The therapeutic market for treating obesity is composed of many different interventions from lifestyle intervention, surgical procedures to pharmacotherapeutic approaches. All of these interventions have their respective benefits and disadvantages and are specifically prescribed to a patient based on the severity of their obesity as well as the existence of other health conditions. This review discusses the genetic and environmental causes of obesity along with the recent developments in anti-obesity therapies.
    Matched MeSH terms: Obesity/genetics*
  3. Vohra MS, Ahmad B, Serpell CJ, Parhar IS, Wong EH
    Differentiation, 2020 08 23;115:62-84.
    PMID: 32891960 DOI: 10.1016/j.diff.2020.08.003
    Adipogenesis has been extensively studied using in vitro models of cellular differentiation, enabling long-term regulation of fat cell metabolism in human adipose tissue (AT) material. Many studies promote the idea that manipulation of this process could potentially reduce the prevalence of obesity and its related diseases. It has now become essential to understand the molecular basis of fat cell development to tackle this pandemic disease, by identifying therapeutic targets and new biomarkers. This review explores murine cell models and their applications for study of the adipogenic differentiation process in vitro. We focus on the benefits and limitations of different cell line models to aid in interpreting data and selecting a good cell line model for successful understanding of adipose biology.
    Matched MeSH terms: Obesity/genetics*
  4. Yong RY, Mustaffa SB, Wasan PS, Sheng L, Marshall CR, Scherer SW, et al.
    Hum Mutat, 2016 Jul;37(7):669-78.
    PMID: 27068483 DOI: 10.1002/humu.22996
    The human amylase gene locus at chromosome 1p21.1 is structurally complex. This region contains two pancreatic amylase genes, AMY2B, AMY2A, and a salivary gene AMY1. The AMY1 gene harbors extensive copy number variation (CNV), and recent studies have implicated this variation in adaptation to starch-rich diets and in association to obesity for European and Asian populations. In this study, we showed that by combining quantitative PCR and digital PCR, coupled with careful experimental design and calibration, we can improve the resolution of genotyping CNV with high copy numbers (CNs). In two East Asian populations of Chinese and Malay ethnicity studied, we observed a unique non-normal distribution of AMY1 diploid CN genotypes with even:odd CNs ratio of 4.5 (3.3-4.7), and an association between the common AMY2A CN = 2 genotype and odd CNs of AMY1, that could be explained by the underlying haplotypic structure. In two further case-control cohorts (n = 932 and 145, for Chinese and Malays, respectively), we did not observe the previously reported association between AMY1 and obesity or body mass index. Improved methods for accurately genotyping multiallelic CNV loci and understanding the haplotype complexity at the AMY1 locus are necessary for population genetics and association studies.
    Matched MeSH terms: Obesity/genetics*
  5. Zain SM, Mohamed Z, Jalaludin MY, Fauzi F, Hamidi A, Zaharan NL
    Pharmacogenet Genomics, 2015 Oct;25(10):501-10.
    PMID: 26240981 DOI: 10.1097/FPC.0000000000000164
    Orexigenic actions mediated by neuropeptide-Y (NPY) promote body weight regulation. Genetic variations in the NPY gene could therefore influence susceptibility to obesity, but results have been conflicting. We have carried out, for the first time, a case-control study to examine the effect of NPY rs16147 and rs5574 variants with the risk of obesity in Asians and also a meta-analysis to summarize the effect of these variants including that of the widely studied rs16139.
    Matched MeSH terms: Obesity/genetics*
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