Obesity Proteomics: An Update on the Strategies and Tools Employed in the Study of Human Obesity
- PMID: 30213114
- PMCID: PMC6164994
- DOI: 10.3390/ht7030027
Obesity Proteomics: An Update on the Strategies and Tools Employed in the Study of Human Obesity
Abstract
Proteomics has become one of the most important disciplines for characterizing cellular protein composition, building functional linkages between protein molecules, and providing insight into the mechanisms of biological processes in a high-throughput manner. Mass spectrometry-based proteomic advances have made it possible to study human diseases, including obesity, through the identification and biochemical characterization of alterations in proteins that are associated with it and its comorbidities. A sizeable number of proteomic studies have used the combination of large-scale separation techniques, such as high-resolution two-dimensional gel electrophoresis or liquid chromatography in combination with mass spectrometry, for high-throughput protein identification. These studies have applied proteomics to comprehensive biochemical profiling and comparison studies while using different tissues and biological fluids from patients to demonstrate the physiological or pathological adaptations within their proteomes. Further investigations into these proteome-wide alterations will enable us to not only understand the disease pathophysiology, but also to determine signature proteins that can serve as biomarkers for obesity and related diseases. This review examines the different proteomic techniques used to study human obesity and discusses its successful applications along with its technical limitations.
Keywords: LC-MS/MS; adipose tissue; human; obesity; proteomics; review.
Conflict of interest statement
The authors declare no conflict of interest.
Similar articles
-
Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques.Skelet Muscle. 2011 Feb 1;1(1):6. doi: 10.1186/2044-5040-1-6. Skelet Muscle. 2011. PMID: 21798084 Free PMC article.
-
Gel-free mass spectrometry-based high throughput proteomics: tools for studying biological response of proteins and proteomes.Proteomics. 2006 Sep;6(17):4678-87. doi: 10.1002/pmic.200500876. Proteomics. 2006. PMID: 16888762 Review.
-
Proteomics meets microbiology: technical advances in the global mapping of protein expression and function.Cell Microbiol. 2005 Aug;7(8):1061-76. doi: 10.1111/j.1462-5822.2005.00554.x. Cell Microbiol. 2005. PMID: 16008574 Review.
-
"LaneSpector", a tool for membrane proteome profiling based on sodium dodecyl sulfate-polyacrylamide gel electrophoresis/liquid chromatography-tandem mass spectrometry analysis: application to Listeria monocytogenes membrane proteins.Electrophoresis. 2005 Jun;26(12):2450-60. doi: 10.1002/elps.200410348. Electrophoresis. 2005. PMID: 15966022
-
Comparison of indirect and direct approaches using ion-trap and Fourier transform ion cyclotron resonance mass spectrometry for exploring viperid venom proteomes.Toxicon. 2006 May;47(6):700-14. doi: 10.1016/j.toxicon.2006.01.022. Epub 2006 Mar 30. Toxicon. 2006. PMID: 16574175
Cited by
-
Proteomic Analysis of Morphologically Changed Tissues after Prolonged Dexamethasone Treatment.Int J Mol Sci. 2019 Jun 26;20(13):3122. doi: 10.3390/ijms20133122. Int J Mol Sci. 2019. PMID: 31247941 Free PMC article.
-
Proteomic profiling of thyroid tissue in patients with obesity and benign diffuse goiter.Front Endocrinol (Lausanne). 2022 Jul 28;13:923465. doi: 10.3389/fendo.2022.923465. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 35966064 Free PMC article.
-
Anti-obesity peptides from food: Production, evaluation, sources, and commercialization.Compr Rev Food Sci Food Saf. 2025 Mar;24(2):e70158. doi: 10.1111/1541-4337.70158. Compr Rev Food Sci Food Saf. 2025. PMID: 40111015 Free PMC article. Review.
-
Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention.Curr Obes Rep. 2020 Sep;9(3):219-230. doi: 10.1007/s13679-020-00393-y. Curr Obes Rep. 2020. PMID: 32594318 Free PMC article. Review.
-
Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI-Unveiling Insights in Health Research.MedComm (2020). 2025 Jun 22;6(7):e70169. doi: 10.1002/mco2.70169. eCollection 2025 Jul. MedComm (2020). 2025. PMID: 40551726 Free PMC article. Review.
References
-
- Giralt M., Cereijo R., Villarroya F. Adipokines and the Endocrine Role of Adipose Tissues. Volume 233. Springer; Cham, Switzerland: 2016. pp. 265–282. Handbook of Experimental Pharmacology. - PubMed
-
- Parimisetty A., Dorsemans A.C., Awada R., Ravanan P., Diotel N., Lefebvre d’Hellencourt C. Secret talk between adipose tissue and central nervous system via secreted factors-an emerging frontier in the neurodegenerative research. J. Neuroinflamm. 2016;13:67. doi: 10.1186/s12974-016-0530-x. - DOI - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Other Literature Sources