Dietary and plasma blood α-linolenic acid as modulators of fat oxidation and predictors of aerobic performance

Lyudinina, A. Yu.; Bushmanova, Ekaterina A.; Варламова, Н. Г.; Bojko, Evgeny R.

doi:10.1186/s12970-020-00385-2

Cited by 13 publications

(5 citation statements)

References 33 publications

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“…Thereafter, isopropylmalate isomerase (2-methylmalate hydrolase) converts citramalate to citraconic acid, which was also elevated in our study. Lastly, α-linolenic acid [a n-3 polyunsaturated fatty acid (PUFAs)] functions as an energy substrate when carbohydrate reserves are depleted (Lyudinina et al, 2020). Its involvement in the efficient supply of energy in comparison to other n-3 PUFAs, has also been documented (Baker et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

The metabolomics of a protein kinase C delta (PKCδ) knock-out mouse model

et al. 2022

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Introduction PKCδ is ubiquitously expressed in mammalian cells and its dysregulation plays a key role in the onset of several incurable diseases and metabolic disorders. However, much remains unknown about the metabolic pathways and disturbances induced by PKC deficiency, as well as the metabolic mechanisms involved. Objectives This study aims to use metabolomics to further characterize the function of PKC from a metabolomics standpoint, by comparing the full serum metabolic profiles of PKC deficient mice to those of wild-type mice. Methods The serum metabolomes of PKCδ knock-out mice were compared to that of a wild-type strain using a GCxGC-TOFMS metabolomics research approach and various univariate and multivariate statistical analyses. Results Thirty-seven serum metabolite markers best describing the difference between PKCδ knock-out and wild-type mice were identified based on a PCA power value > 0.9, a t-test p-value < 0.05, or an effect size > 1. XERp prediction was also done to accurately select the metabolite markers within the 2 sample groups. Of the metabolite markers identified, 78.4% (29/37) were elevated and 48.65% of these markers were fatty acids (18/37). It is clear that a total loss of PKCδ functionality results in an inhibition of glycolysis, the TCA cycle, and steroid synthesis, accompanied by upregulation of the pentose phosphate pathway, fatty acids oxidation, cholesterol transport/storage, single carbon and sulphur-containing amino acid synthesis, branched-chain amino acids (BCAA), ketogenesis, and an increased cell signalling via N-acetylglucosamine. ConclusionThe charaterization of the dysregulated serum metabolites in this study, may represent an additional tool for the early detection and screening of PKCδ-deficiencies or abnormalities.

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Section: Discussionmentioning

confidence: 99%

The metabolomics of a protein kinase C delta (PKCδ) knock-out mouse model

et al. 2022

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“…(19) As a member of n-3 polyunsaturated fatty acids, α-linolenic acid plays a distinctive role of carbon source substitution in athletes' aerobic performance when the carbohydrate reserve is consumed. (20) In advanced PAC, whether α-linolenic acid contributes to the carbon source into anaerobic metabolism still needs further investigation.…”

Section: Discussionmentioning

confidence: 99%

Metabolomics Profiling of EUS-FNA Sample Predicts Advanced Pancreatic Adenocarcinoma Prognosis

Chen

Zhou

et al. 2021

Preprint

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Background Effective anti-tumor medicine for individual cases with different prognosis risks is urgent for pancreatic adenocarcinoma (PAC) therapy. Metabolic therapy is a promising strategy for PAC. Endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) is a suitable technique for the biopsy of pancreatic mass. Here, we first perform metabolome analysis with EUS-FNA samples to identify prognostic biomarkers and potential therapeutic targets in advanced PAC. Methods PAC underwent EUS-FNA between October 2018 to March 2019 were enrolled. The cytological sample was delivered for liquid chromatography coupled with mass spectrometry (LC-MS). Results A total of 60 advanced PAC with median survival of 390 days were enrolled for metabolome analysis, and 402 unique metabolites were identified. In multivariate analysis, a two-metabolite (cholesterol glucuronide and taurocholic acid 3-sulfate) risk score [hazard ratio (HR) = 1.983, 95% confidence interval (CI) = 1.362–2.887, p < 0.001] was constructed and proved to be independent predictors for overall survival. The C-index of the risk score was 0.64 (95% CI: 0.70–0.59). Patients in the high-risk and low-risk groups stratified by the risk score suffered different prognosis (median survival time 194 versus 480 days, p < 0.001). The area under the curve at 1 year was 0.685. The nomogram was depicted by combining the risk score with clinical parameters. The C-index was 0.67 (95% CI: 0.73–0.62). Finally, WGCNA identified three distinct modules and major enriched in glucose-alanine cycle and α-linolenic acid metabolism. Conclusions A two-metabolite risk score and nomogram with the ability to predict survival of PAC were generated. The two metabolites both showed an association with bile acid accumulation. The glucose-alanine cycle and α-linolenic acid metabolism were highly active in advanced PAC, which might be the target in future therapy.

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“…4.2.4. Questionnaire of Fats (QFat) As we described earlier [32], all the athletes were on a standardized balanced diet (in the SAF RK of the Center for Sports Training of National Teams) and lived in the same city. The athletes used QFat, an online screening questionnaire developed by us independently; it includes an assessment of the consumption frequency of fat-containing products and the actual amount.…”

Section: Measurement Of Fatty Acidsmentioning

confidence: 99%

Essential Fatty Acid Associated with Heart Rate Variability in Highly Trained Male Cross-Country Skiers: A Pilot Study

Lyudinina,

Markov,

Bojko

2024

Physiologia

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Polyunsaturated fatty acid (PUFA) metabolites play important roles in the modulation of vascular tone, heart rate variability (HRV), and cardiovascular diseases. This study was undertaken to examine the relationship between HRV and the plasma levels of essential acids. Methods: Highly trained cross-country skiers participated in the study (n = 19). Time-domain and frequency-domain HRV analyses were performed. The plasma levels of fatty acids were determined using gas–liquid chromatography. Results: Plasma eicosapentaenoic acid and docosahexaenoic acid were found to be negatively correlated with resting heart rate (HR) (p = 0.026). The plasma levels of alpha-linolenic acid (ALA) were positively associated with the relative value of high-frequency power (rs = 0.465, p = 0.045) and negatively correlated with the sympathovagal balance ratio (rs = −0.493, p = 0.032) and the absolute and relative values of low-frequency power (rs = −0.490, p = 0.028). The plasma levels of arachidonic acid (ARA) were positively associated with the relative value of high-frequency power (rs = 0.59, p = 0.006) and negatively correlated with the sympathovagal balance ratio (rs = −0.54, p = 0.017) and the relative values of low-frequency power (rs = −0.52, p = 0.022). No correlation was found between n6/n3 and HRV parameters except for HR and pNN50. Conclusions: n-3 PUFAs and ARA play an important role in the autonomic regulation of heart rate in highly trained skiers. Athletes with substantial deficiencies in plasma ALA and excess levels of ARA had increased sympathetic and decreased parasympathetic activity.

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Dietary and plasma blood α-linolenic acid as modulators of fat oxidation and predictors of aerobic performance

Cited by 13 publications

References 33 publications

The metabolomics of a protein kinase C delta (PKCδ) knock-out mouse model

The metabolomics of a protein kinase C delta (PKCδ) knock-out mouse model

Metabolomics Profiling of EUS-FNA Sample Predicts Advanced Pancreatic Adenocarcinoma Prognosis

Essential Fatty Acid Associated with Heart Rate Variability in Highly Trained Male Cross-Country Skiers: A Pilot Study

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