Gamma-linolenic acid ameliorated glycation-induced memory impairment in rats

Khan, S. A.; Haider, Ali; Mahmood, Wajahat; Roome, Talat; Abbas, Ghulam

doi:10.1080/13880209.2017.1331363

Cited by 11 publications

(16 citation statements)

References 38 publications

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“…Gamolenic acid or γ-linolenic acid (GLA) was the second top-hit molecule of the screening database with a predictive probability of 0.95. GLA is an ω-6 PUFA, composed of an 18-carbon chain with three double bonds in the 6th, 9th and 12th position 54 . Rich sources of GLA include evening primrose oil (EPO), black currant oil, and borage oil 55 .…”

Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

Random forest classification for predicting lifespan-extending chemical compounds

Kapsiani

Howlin

2021

Preprint

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Ageing is a major risk factor for many conditions including cancer, cardiovascular and neurodegenerative diseases. Pharmaceutical interventions that slow down ageing and delay the onset of age-related diseases are a growing research area. The aim of this study was to build a machine learning model based on the data of the DrugAge database to predict whether a chemical compound will extend the lifespan of Caenorhabditis elegans. Five predictive models were built using the random forest algorithm with molecular fingerprints and/or molecular descriptors as features. The best performing classifier, built using molecular descriptors, achieved an area under the curve (AUC) score of 0.815 for classifying the compounds in the test set. The features of the model were ranked using the Gini importance measure of the random forest algorithm. The top 30 features included descriptors related to atom and bond counts, topological and partial charge properties. The model was applied to predict the class of compounds in an external database, consisting of 1,738 small-molecules. The chemical compounds of the screening database with a predictive probability of ≥ 0.80 for increasing the lifespan of Caenorhabditis elegans were broadly separated into (i) flavonoids, (ii) fatty acids and conjugates, and (iii) organooxygen compounds.

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Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

Random forest classification for predicting lifespan-extending chemical compounds

Kapsiani

Howlin

2021

Preprint

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“…Rich sources of GLA include evening primrose oil (EPO), black currant oil, and borage oil [63]. In mammals, GLA is synthesized from linoleic acid (dietary) via the action of the enzyme -6 desaturase [62,63]. GLA is a precursor for other essential fatty acids such as arachidonic acid [62,63].…”

Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

“…In mammals, GLA is synthesized from linoleic acid (dietary) via the action of the enzyme -6 desaturase [62,63]. GLA is a precursor for other essential fatty acids such as arachidonic acid [62,63]. Conditions such as hypertension and diabetes as well as stress and various aspects of ageing, reduce the capacity of -6 desaturase to convert linoleic acid to GLA [64].…”

Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

“…This may lead to a de ciency of long-chain fatty acid derivatives and metabolites of GLA. GLA has been used as a constituent of anti-ageing supplements and has shown to possess various therapeutic effects in humans including improvement of age-related anomalies [62].…”

Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

“…Gamolenic acid or -linolenic acid (GLA) was the second top-hit molecule of the screening database with a predictive probability of 0.95. GLA is an -6 PUFA, composed of an 18-carbon chain with three double bonds in the 6th, 9th and 12th position [62]. Rich sources of GLA include evening primrose oil (EPO), black currant oil, and borage oil [63].…”

Section: Fatty Acids and Conjugatesmentioning

confidence: 99%

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Random forest classification for predicting lifespan-extending chemical compounds

Kapsiani

Howlin

2020

Preprint

View full text Add to dashboard Cite

Ageing is a major risk factor for many conditions including cancer, cardiovascular and neurodegenerative diseases. Pharmaceutical interventions that slow down ageing and delay the onset of age-related diseases are a growing research area. The aim of this study was to build a machine learning model based on the data of the DrugAge database to predict whether a chemical compound will extend the lifespan of the worm species Caenorhabditis elegans. Five predictive models were built using the random forest algorithm with molecular fingerprints and/or molecular descriptors as features. Feature selection was achieved using variation and mutual information-based methods. The best performing classifier, built using molecular descriptors, achieved an area under the curve (AUC) score of 0.815 for classifying the compounds in the test set. The features of the model were ranked using the Gini importance measure of the random forest algorithm. The top 30 most important features included descriptors related to atom and bond counts, topological and partial charge properties. The model was applied to predict the class of compounds in an external database, consisting of 1,738 small-molecules. The chemical compounds of the screening database with a predictive probability of ≥ 0.80 for increasing the lifespan of Caenorhabditis elegans were broadly separated into (i) flavonoids, (ii) fatty acids and conjugates, and (iii) organooxygen compounds.

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Flaxseed oil ameliorates aging in d‐galactose induced rats via altering gut microbiota and mitigating oxidative damage

Sun

Wang

et al. 2022

J Sci Food Agric

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BACKGROUND: Aging causes decreased antioxidant capacity and chronic inflammation and may even elevate cancer risks. Previous studies reported that flaxseed oil (FO) can alleviate age-related diseases, including improving alcoholic liver disease, atherosclerosis and diabetes. However, whether the intestinal microbiota accountable for this alleviation is still unknown. This study aims to study the antioxidant effects of FO in an aging rat model and the underlying mechanism between the intestinal microbiota and aging. RESULTS: Our results presented that serum and liver antioxidant capacities in FO group were up-regulated, and liver inflammation in FO group was reduced. The 16S rDNA sequencing showed that FO regulated the microbial community, including up-regulation of four families of Lactobacillus and six families of Clostridium. In addition, FO had also adjusted the relative abundance of several genera such as Ruminococcaceae_UCG-005 and Prevotella_9, which may be the key bacteria associated with the aging process. Colonic transcriptome analysis showed that there were 1679 differentially expressed genes (DEGs) in the Model group and the FO group (134 up-regulated and 1545 down-regulated). Gene set enrichment analysis (GSEA) revealed FO down-regulates the expression of the upstream genes Ptprc, Lck, Zap70, Lat and Lcp2 in the T cell receptor signaling pathway.CONCLUSION: In conclusion, FO improved antioxidant capacity and reduced intestinal microbial disturbances caused by aging damage, indicating that dietary FO has the potential to fight aging damage. This study provides a more comprehensive view of dietary intervention to improve aging.

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Gamma-linolenic acid ameliorated glycation-induced memory impairment in rats

Cited by 11 publications

References 38 publications

Random forest classification for predicting lifespan-extending chemical compounds

Random forest classification for predicting lifespan-extending chemical compounds

Random forest classification for predicting lifespan-extending chemical compounds

Flaxseed oil ameliorates aging in d‐galactose induced rats via altering gut microbiota and mitigating oxidative damage

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