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Postcibalome

From Wikipedia, the free encyclopedia

Postcibalome is the comprehensive array of biochemical and physiological responses that occur in the body, most notably in the blood, following the consumption of food.[1] This term encompasses the complex interplay of hormonal, nutritional, and metabolic changes that take place as the body processes food and returns to its fasting state.[citation needed] It includes fluctuations in hormones, nutrients, metabolites, and proteins, as well as stress responses associated with excessive food intake. The term "postcibalome" is derived from "postcibal," which combines the prefix "post-" (after) with the Latin word "cibus," meaning food.[citation needed]

The changes in blood composition after eating are intricate and can serve as important indicators of metabolic health.[2] Studies have shown that alterations in glucose and insulin levels are significant markers of metabolic dysfunction, with insulin resistance often signifying a risk for diabetes.[3] Additionally, the gene expression and proteome of white blood cells, as well as the metabolome and proteome of the blood, exhibit dynamic changes in response to food intake.[citation needed] These collective fluctuations highlight the body's adaptive mechanisms in managing nutrient intake and maintaining metabolic balance.[citation needed]

References

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  1. ^ Dordevic, Aimee L.; Williamson, Gary (2023). "Systematic Review and Quantitative Data Synthesis of Peripheral Blood Mononuclear Cell Transcriptomics Reveals Consensus Gene Expression Changes in Response to a High Fat Meal". Molecular Nutrition and Food Research. 67 (23): 2300512. doi:10.1002/mnfr.202300512. PMID 37817369.
  2. ^ Kardinaal, Alwine F. M.; Erk, Marjan J.; Dutman, Alice E.; Stroeve, Johanna H. M.; Steeg, Evita; Bijlsma, Sabina; Kooistra, Teake; Ommen, Ben; Wopereis, Suzan (2015). "Quantifying phenotypic flexibility as the response to a high-fat challenge test in different states of metabolic health". FASEB J. 29 (11): 4600–4613. doi:10.1096/fj.14-269852. PMID 26198450.
  3. ^ Kahn (2006). "Mechanisms linking obesity to insulin resistance and type 2 diabetes". Nature. 444 (7121): 840–846. Bibcode:2006Natur.444..840K. doi:10.1038/nature05482. PMID 17167471.