Adipose tissue and lipid metabolism

Everaert, Nadia; Decuypere, Eddy; Buyse, Johan

doi:10.1016/b978-0-12-819770-7.00015-3

Cited by 12 publications

(16 citation statements)

References 97 publications

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“…Adipose tissue may also make up a substantial proportion of total body mass in animals (~5–45% in mammals [ 145 , 148 , 158 ]), and like muscle, its ontogenetic development first largely entails cell multiplication, but later largely cell expansion, as observed in chickens [ 159 ] and laboratory rats [ 160 ] and mice [ 161 ]. The second phase of adipose tissue development involves increased lipid deposition in fat cells ( Figure 6 ) [ 159 , 160 , 161 ].…”

Section: Major Ways That Variation In Metabolic Rate May Relate To Ce...mentioning

confidence: 99%

Section: Effects Of Cellular Mode Of Growth (Ontogenetic Development ...mentioning

confidence: 99%

“…Biology 2022, 11, x FOR PEER REVIEW 9 of 25 first largely entails cell multiplication, but later largely cell expansion, as observed in chickens [159] and laboratory rats [160] and mice [161]. The second phase of adipose tissue development involves increased lipid deposition in fat cells (Figure 6) [159][160][161]. Similarly, in woody plants, the ontogeny of structural wood tissue, which makes up a large amount of total biomass, especially in mature individuals (e.g., large trees), involves a two-phase process of cell multiplication followed by cell expansion [162].…”

Section: Effects Of Cellular Mode Of Growth (Ontogenetic Development ...mentioning

confidence: 99%

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How Metabolic Rate Relates to Cell Size

Glazier

2022

Biology

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Metabolic rate and its covariation with body mass vary substantially within and among species in little understood ways. Here, I critically review explanations (and supporting data) concerning how cell size and number and their establishment by cell expansion and multiplication may affect metabolic rate and its scaling with body mass. Cell size and growth may affect size-specific metabolic rate, as well as the vertical elevation (metabolic level) and slope (exponent) of metabolic scaling relationships. Mechanistic causes of negative correlations between cell size and metabolic rate may involve reduced resource supply and/or demand in larger cells, related to decreased surface area per volume, larger intracellular resource-transport distances, lower metabolic costs of ionic regulation, slower cell multiplication and somatic growth, and larger intracellular deposits of metabolically inert materials in some tissues. A cell-size perspective helps to explain some (but not all) variation in metabolic rate and its body-mass scaling and thus should be included in any multi-mechanistic theory attempting to explain the full diversity of metabolic scaling. A cell-size approach may also help conceptually integrate studies of the biological regulation of cellular growth and metabolism with those concerning major transitions in ontogenetic development and associated shifts in metabolic scaling.

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Section: Major Ways That Variation In Metabolic Rate May Relate To Ce...mentioning

confidence: 99%

Section: Effects Of Cellular Mode Of Growth (Ontogenetic Development ...mentioning

confidence: 99%

Section: Effects Of Cellular Mode Of Growth (Ontogenetic Development ...mentioning

confidence: 99%

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How Metabolic Rate Relates to Cell Size

Glazier

2022

Biology

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“…The pHu-line is characterized by higher concentration of glycerolipids (especially TG and DG) that are involved in energy storage. They are provided by diet or are produced from carbohydrates or glycogen during the lipogenesis which involves the synthesis in liver or adipose tissues of FA from acetyl-CoA and an esterification with glycerol 3-phosphate ( Everaert et al, 2021 ). The higher amounts of glycerolipids observed at 4 weeks of age are consistent with the higher plasma triglyceride levels previously observed in the pHu− at hatch and one-week of age ( Métayer-Coustard et al, 2021 ; Bergeot et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

A Divergent Selection on Breast Meat Ultimate pH, a Key Factor for Chicken Meat Quality, is Associated With Different Circulating Lipid Profiles

et al. 2022

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Background: Chicken meat has become a major source of protein for human consumption. However, the quality of the meat is not yet under control, especially since pH values that are too low or too high are often observed. In an attempt to get a better understanding of the genetic and biochemical determinants of the ultimate pH, two genetic lines of broilers were divergently selected for low (pHu−) or high (pHu+) breast meat pHu. In this study, the serum lipidome of 17-day-old broilers from both lines was screened for pHu markers using liquid-chromatography coupled with mass spectrometry (LC-HRMS).Results: A total of 185 lipids belonging to 4 groups (glycerolipids, glycerophospholipids, sterols, sphingolipids) were identified in the sera of 268 broilers from the pHu lines by targeted lipidomics. The glycerolipids, which are involved in energy storage, were in higher concentration in the blood of pHu− birds. The glycerophospholipids (phosphatidylcholines, phosphatidylethanolamines) with long and polyunsaturated acyl chains were more abundant in pHu+ than in pHu− while the lysophosphatidylcholines and lysophosphatidylethanolamines, known to be associated with starch, were observed in higher quantity in the serum of the pHu− line. Finally, the concentration of the sterols and the ceramides, belonging to the sphingolipids class, were higher in the pHu+ and pHu−, respectively. Furthermore, orthogonal partial least-squares analyses highlighted a set of 68 lipids explaining 77% of the differences between the two broilers lines (R2Y = 0.77, Q2 = 0.67). Among these lipids, a subset of 40 predictors of the pHu value was identified with a Root Mean Squared Error of Estimation of 0.18 pH unit (R2Y = 0.69 and Q2 = 0.62). The predictive model of the pHu value was externally validated on 68 birds with a Root Mean Squared Error of Prediction of 0.25 pH unit.Conclusion: The sets of molecules identified will be useful for a better understanding of relationship between serum lipid profile and meat quality, and will contribute to define easily accessible pHu biomarkers on live birds that could be useful in genetic selection.

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“…Chemerin is a new adipokine that is generated by adipose tissue and liver, advocates adipocyte differentiation, and serves as a chemoattractant for macrophages and other immune cells [ 156 ]. Chemerin and its main receptor, ChemR23, are expressed by adipocytes, and upregulated during differentiation from bone marrow mesenchymal stem cells (BMSC).…”

Section: Adipokines and Tnbcmentioning

confidence: 99%

Altered Adipokine Expression in Tumor Microenvironment Promotes Development of Triple Negative Breast Cancer

Papakonstantinou

Piperigkou

Karamanos

et al. 2022

Cancers

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Obesity is a remarkably important factor for breast carcinogenesis and aggressiveness. The implication of increased BMI in triple negative breast cancer (TNBC) development is also well established. A malignancy-promoting role of the adipose tissue has been supposed, where the adipocytes that constitute the majority of stromal cells release pro-inflammatory cytokines and growth factors. Alterations in adipokines and their receptors play significant roles in breast cancer initiation, progression, metastasis, and drug response. Classic adipokines, such as leptin, adiponectin, and resistin, have been extensively studied in breast cancer and connected with breast cancer risk and progression. Notably, new molecules are constantly being discovered and the list is continuously growing. Additionally, substantial progress has been made concerning their differential expression in association with clinical and pathological parameters of tumors and the prognostic and predictive value of their dysregulation in breast cancer carcinogenesis. However, evidence regarding the mechanisms by which adipose tissue is involved in the development of TNBC is lacking. In the present article we comment on current data on the suggested involvement of these mediators in breast cancer development and progression, with particular emphasis on TNBC, to draw attention to the design of novel targeted therapies and biomarkers.

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Adipose tissue and lipid metabolism

Cited by 12 publications

References 97 publications

How Metabolic Rate Relates to Cell Size

How Metabolic Rate Relates to Cell Size

A Divergent Selection on Breast Meat Ultimate pH, a Key Factor for Chicken Meat Quality, is Associated With Different Circulating Lipid Profiles

Altered Adipokine Expression in Tumor Microenvironment Promotes Development of Triple Negative Breast Cancer

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