We are analyzing https://link.springer.com/article/10.1007/s13679-020-00393-y.

Title:
Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention | Current Obesity Reports
Description:
Purpose of Review Omics-based technologies were suggested to provide an advanced understanding of obesity etiology and its metabolic consequences. This review highlights the recent developments in “omics”-based research aimed to identify obesity-related biomarkers. Recent Findings Recent advances in obesity and metabolism research increasingly rely on new technologies to identify mechanisms in the development of obesity using various “omics” platforms. Genetic and epigenetic biomarkers that translate into changes in transcriptome, proteome, and metabolome could serve as targets for obesity prevention. Despite a number of promising candidate biomarkers, there is an increased demand for larger prospective cohort studies to validate findings and determine biomarker reproducibility before they can find applications in primary care and public health. Summary “Omics” biomarkers have advanced our knowledge on the etiology of obesity and its links with chronic diseases. They bring substantial promise in identifying effective public health strategies that pave the way towards patient stratification and precision prevention.
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Keywords {🔍}

pubmed, obesity, article, google, scholar, cas, central, studies, biomarkers, human, omics, research, study, metabolic, data, risk, genetic, analysis, metabolomics, metabolism, health, microbiome, disease, bmi, recent, obese, gut, individuals, doi, diabetes, rev, genes, proteomics, mass, epigenetic, chronic, diseases, weight, biological, acids, bariatric, surgery, sci, precision, body, dna, methylation, cell, understanding, development,

Topics {✒️}

int/news-room/fact-sheets/detail/obesity article download pdf independent single-nucleotide polymorphisms open access published caue egea rodrigues exerted anti-inflammatory properties short-chain fatty acids array-based transcriptional profiling biochim biophys acta van zwet ew branched-chain amino acids population-based proteomic studies ameliorate bcaa-driven dysregulation high-demand epidemic needing low-molecular-weight structures adult body-mass index large population-based cohorts mass spectrometry-based metabolomics �omics”-based research aimed proinflammatory omega-6-fatty acids high-throughput sequencing technologies individual omics-based approaches significant dose-response relationship genome-wide association studies bring substantial promise gene-obesogenic environment interactions integrated multi-“omics” approaches recent meta-analysis reported dna-microarrays-based techniques references arroyo-johnson increased central adiposity epigenome-wide association studies identify obesity-related biomarkers glycomic lc-maldi-ms liquid chromatography coupled epigenome-wide association study interpret multi-“omics” data article aleksandrova altered n-glycosylation profiles multi-omics data integration identify high-risk individuals privacy choices/manage cookies related metabolic disorders tobi ew studies demonstrated significant methylation pattern variations obesity-related metabolomic analysis protein-coding genes represent immune-inflammatory disturbances involved obesity-related chronic diseases

Questions {❓}

Are we close to defining a metabolomic signature of human obesity?
BCAA metabolism and insulin sensitivity - dysregulated by metabolic status?
The obesity pandemic-whose responsibility?

Schema {🗺️}

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         general
         Metabolic Diseases
         Diabetes
         Cardiology
         Behavioral Therapy
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      name:Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology–BIPS, Bremen, Germany
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