{"title":"The role of PPARγ in childhood obesity-induced fractures","authors":"M. McCann, A. Ratneswaran","doi":"10.1186/s12263-019-0653-7","DOIUrl":"https://doi.org/10.1186/s12263-019-0653-7","url":null,"abstract":"","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0653-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43077454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estrogen biosynthesis in cultured skeletal muscle cells (L6) induced by amino acids","authors":"B. Iresjö, A. Landin, C. Ohlsson, K. Lundholm","doi":"10.1186/s12263-019-0652-8","DOIUrl":"https://doi.org/10.1186/s12263-019-0652-8","url":null,"abstract":"","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0652-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45166840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Landberg, K. Hanhineva, K. Tuohy, M. Garcia‐Aloy, Izabela Biskup, R. Llorach, X. Yin, L. Brennan, M. Kolehmainen
{"title":"Biomarkers of cereal food intake","authors":"R. Landberg, K. Hanhineva, K. Tuohy, M. Garcia‐Aloy, Izabela Biskup, R. Llorach, X. Yin, L. Brennan, M. Kolehmainen","doi":"10.1186/s12263-019-0651-9","DOIUrl":"https://doi.org/10.1186/s12263-019-0651-9","url":null,"abstract":"","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0651-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49154783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genes and NutritionPub Date : 2019-09-09eCollection Date: 2019-01-01DOI: 10.1186/s12263-019-0647-5
Samar Hk Tareen, Martina Kutmon, Ilja Cw Arts, Theo M de Kok, Chris T Evelo, Michiel E Adriaens
{"title":"Logical modelling reveals the PDC-PDK interaction as the regulatory switch driving metabolic flexibility at the cellular level.","authors":"Samar Hk Tareen, Martina Kutmon, Ilja Cw Arts, Theo M de Kok, Chris T Evelo, Michiel E Adriaens","doi":"10.1186/s12263-019-0647-5","DOIUrl":"https://doi.org/10.1186/s12263-019-0647-5","url":null,"abstract":"<p><strong>Background: </strong>Metabolic flexibility is the ability of an organism to switch between substrates for energy metabolism, in response to the changing nutritional state and needs of the organism. On the cellular level, metabolic flexibility revolves around the tricarboxylic acid cycle by switching acetyl coenzyme A production from glucose to fatty acids and vice versa. In this study, we modelled cellular metabolic flexibility by constructing a logical model connecting glycolysis, fatty acid oxidation, fatty acid synthesis and the tricarboxylic acid cycle, and then using network analysis to study the behaviours of the model.</p><p><strong>Results: </strong>We observed that the substrate switching usually occurs through the inhibition of pyruvate dehydrogenase complex (PDC) by pyruvate dehydrogenase kinases (PDK), which moves the metabolism from glycolysis to fatty acid oxidation. Furthermore, we were able to verify four different regulatory models of PDK to contain known biological observations, leading to the biological plausibility of all four models across different cells and conditions.</p><p><strong>Conclusion: </strong>These results suggest that the cellular metabolic flexibility depends upon the PDC-PDK regulatory interaction as a key regulatory switch for changing metabolic substrates.</p>","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0647-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41220697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evidence for the association between <i>FTO</i> gene variants and vitamin B12 concentrations in an Asian Indian population.","authors":"Shelini Surendran, Ramamoorthy Jayashri, Lauren Drysdale, Dhanasekaran Bodhini, Nagarajan Lakshmipriya, Coimbatore Subramanian Shanthi Rani, Vasudevan Sudha, Julie A Lovegrove, Ranjit M Anjana, Viswanathan Mohan, Venkatesan Radha, Rajendra Pradeepa, Karani S Vimaleswaran","doi":"10.1186/s12263-019-0649-3","DOIUrl":"10.1186/s12263-019-0649-3","url":null,"abstract":"<p><strong>Background: </strong>Low vitamin B12 concentrations have been associated with major clinical outcomes, including adiposity, in Indian populations. The Fat mass and obesity-associated gene (<i>FTO</i>) is an established obesity-susceptibility locus; however, it remains unknown whether it influences vitamin B12 status. Hence, we investigated the association of two previously studied <i>FTO</i> polymorphisms with vitamin B12 concentrations and metabolic disease-related outcomes and examined whether these associations were modified by dietary factors and physical activity.</p><p><strong>Methods: </strong>A total of 176 individuals with type 2 diabetes, 152 with pre-diabetes, and 220 normal glucose-tolerant individuals were randomly selected from the Chennai Urban Rural Epidemiology Study. Anthropometric, clinical, and biochemical investigations, which included body mass index (BMI), waist circumference, vitamin B12, homocysteine, and folic acid were measured. A validated food frequency questionnaire was used for dietary assessment and self-reported physical activity measures were collected. An unweighted genetic risk score (GRS) was calculated for two <i>FTO</i> single-nucleotide polymorphisms (rs8050136 and rs2388405) by summation of the number of risk alleles for obesity. Interaction analyses were performed by including the interaction terms in the regression model.</p><p><strong>Results: </strong>The GRS was significantly associated with increased BMI (<i>P</i> = 0.009) and risk of obesity (<i>P</i> = 0.023). Individuals carrying more than one risk allele for the GRS had 13.13% lower vitamin B12 concentrations, compared to individuals carrying zero risk alleles (<i>P</i> = 0.018). No associations between the GRS and folic acid and homocysteine concentrations were observed. Furthermore, no statistically significant GRS-diet or GRS-physical activity interactions with vitamin B12, folic acid, homocysteine or metabolic-disease outcomes were observed.</p><p><strong>Conclusion: </strong>The study shows for the first time that a genetic risk score using two <i>FTO</i> SNPs is associated with lower vitamin B12 concentrations; however, we did not identify any evidence for the influence of lifestyle factors on this association. Further replication studies in larger cohorts are warranted to investigate the association between the GRS and vitamin B12 concentrations.</p>","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42159137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genes and NutritionPub Date : 2019-08-15eCollection Date: 2019-01-01DOI: 10.1186/s12263-019-0650-x
Kathrine B Dall, Nils J Færgeman
{"title":"Metabolic regulation of lifespan from a <i>C. elegans</i> perspective.","authors":"Kathrine B Dall, Nils J Færgeman","doi":"10.1186/s12263-019-0650-x","DOIUrl":"https://doi.org/10.1186/s12263-019-0650-x","url":null,"abstract":"<p><p>Decline of cellular functions especially cognitive is a major deficit that arises with age in humans. Harnessing the strengths of small and genetic tractable model systems has revealed key conserved regulatory biochemical and signaling pathways that control aging. Here, we review some of the key signaling and biochemical pathways that coordinate aging processes with special emphasis on <i>Caenorhabditis elegans</i> as a model system and discuss how nutrients and metabolites can regulate lifespan by coordinating signaling and epigenetic programs. We focus on central nutrient-sensing pathways such as mTOR and insulin/insulin-like growth factor signaling and key transcription factors including the conserved basic helix-loop-helix transcription factor HLH-30/TFEB.</p>","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0650-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41220698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genes and NutritionPub Date : 2019-08-14eCollection Date: 2019-01-01DOI: 10.1186/s12263-019-0648-4
Muyao Xi, Lars O Dragsted
{"title":"Biomarkers of seaweed intake.","authors":"Muyao Xi, Lars O Dragsted","doi":"10.1186/s12263-019-0648-4","DOIUrl":"https://doi.org/10.1186/s12263-019-0648-4","url":null,"abstract":"<p><p>Seaweeds are marine macroalgae, some of which are edible. They are rich in specific dietary fibers and also contain other characteristic biological constituents. Biological activities have been investigated mainly in animal studies, while very few results are available from human studies. Biomarkers of food intake (BFIs) specific to seaweed could play an important role as objective measurements in observational studies and dietary intervention studies. Thus, the health effects of seaweeds can be explored and understood by discovering and applying BFIs. This review summarizes studies to identify candidate BFIs of seaweed intake. These BFIs are evaluated by a structured validation scheme. Hydroxytrifuhalol A, 7-hydroxyeckol, C-O-C dimer of phloroglucinol, diphloroethol, fucophloroethol, dioxinodehydroeckol, and/or their glucuronides or sulfate esters which all belong to the phlorotannins are considered candidate biomarkers for brown seaweed. Fucoxanthinol, the main metabolite of fucoxanthin, is also regarded as a candidate biomarker for brown seaweed. Further validation will be needed due to the very limited number of human studies. Further studies are also needed to identify additional candidate biomarkers, relevant specifically for the red and green seaweeds, for which no candidate biomarkers emerged from the literature search. Reliable BFIs should also ideally be found for the whole seaweed food group.</p>","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0648-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41220695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xianyong Ma, Li Wang, Z. Shi, Wei Chen, Xuefen Yang, You-jun Hu, C. Zheng, Zong-yong Jiang
{"title":"Mechanism of continuous high temperature affecting growth performance, meat quality, and muscle biochemical properties of finishing pigs","authors":"Xianyong Ma, Li Wang, Z. Shi, Wei Chen, Xuefen Yang, You-jun Hu, C. Zheng, Zong-yong Jiang","doi":"10.1186/s12263-019-0643-9","DOIUrl":"https://doi.org/10.1186/s12263-019-0643-9","url":null,"abstract":"","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0643-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45927852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genes and NutritionPub Date : 2019-07-09eCollection Date: 2019-01-01DOI: 10.1186/s12263-019-0645-7
Ali Shokri, Saeed Pirouzpanah, Mitra Foroutan-Ghaznavi, Vahid Montazeri, Ashraf Fakhrjou, Hojjatollah Nozad-Charoudeh, Gholamreza Tavoosidana
{"title":"Dietary protein sources and tumoral overexpression of <i>RhoA</i>, <i>VEGF-A</i> and <i>VEGFR2</i> genes among breast cancer patients.","authors":"Ali Shokri, Saeed Pirouzpanah, Mitra Foroutan-Ghaznavi, Vahid Montazeri, Ashraf Fakhrjou, Hojjatollah Nozad-Charoudeh, Gholamreza Tavoosidana","doi":"10.1186/s12263-019-0645-7","DOIUrl":"10.1186/s12263-019-0645-7","url":null,"abstract":"<p><strong>Background: </strong>High protein intake may promote angiogenesis giving support to the development of metastasis according to the experimental data. However, nutritional epidemiologic evidence is inconsistent with metastasis. Therefore, we aimed to study the association between dietary intake of protein and tumoral expression levels of <i>Ras homologous gene family member A</i> (<i>RhoA</i>), <i>vascular endothelial growth factor-A</i> (<i>VEGF-A</i>), and <i>VEGF receptor-2</i> (<i>VEGFR2</i>) in primary breast cancer (BC) patients.</p><p><strong>Methods: </strong>Over this consecutive case series, 177 women primary diagnosed with histopathologically confirmed BC in Tabriz (Iran) were enrolled between May 2011 and November 2016. A validated food frequency questionnaire was completed for eligible participants. Fold change in gene expression was measured using quantitative real-time PCR. Principal component factor analysis (PCA) was used to express dietary groups of proteins.</p><p><strong>Results: </strong>Total protein intake was associated with the expression level of <i>VEGF-A</i> in progesterone receptor-positive (PR+: <i>β</i> = 0.296, <i>p</i> < 0.01) and <i>VEGFR2</i> in patients with involvement of axillary lymph node metastasis (ALNM+: <i>β</i> = 0.295, <i>p</i> < 0.01) when covariates were adjusted. High animal protein intake was correlated with overexpression of <i>RhoA</i> in tumors with estrogen receptor-positive (ER+: <i>β</i> = 0.230, <i>p</i> < 0.05), ALNM+ (<i>β</i> = 0.238, <i>p</i> < 0.05), and vascular invasion (VI+: <i>β</i> = 0.313, <i>p</i> < 0.01). Animal protein intake was correlated with the overexpression of <i>VEGFR2</i> when tumors were positive for hormonal receptors (ER+: <i>β</i> = 0.299, <i>p</i> < 0.01; PR+: <i>β</i> = 0.296, <i>p</i> < 0.01). Based on the PCA outputs, protein provided by whole meat (white and red meat) was associated inversely with <i>RhoA</i> expression in ALNM+ (<i>β</i> = - 0.253, <i>p</i> < 0.05) and premenopausal women (<i>β</i> = - 0.285, <i>p</i> < 0.01) in adjusted models. Whole meat was correlated with <i>VEGFR2</i> overexpression in VI+ (<i>β</i> = 0.288, <i>p</i> < 0.05) and premenopausal status (<i>β</i> = 0.300, <i>p</i> < 0.05) in adjusted models. A group composed of dairy products and legumes was correlated with the overexpression of <i>RhoA</i> (<i>β</i> = 0.249, <i>p</i> < 0.05) and <i>VEGF-A</i> (<i>β</i> = 0.297, <i>p</i> < 0.05) in VI+.</p><p><strong>Conclusions: </strong>Based on the multivariate findings, the dietary protein could associate with the overexpression of <i>RhoA</i> and <i>VEGF-VEGFR2</i> in favor of lymphatic and vascular metastasis in BC patients.</p>","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2019-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617685/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41220696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maki Igarashi, S. Nogawa, K. Kawafune, Tsuyoshi Hachiya, Shoko Takahashi, Huijuan Jia, Kenji Saito, H. Kato
{"title":"Identification of the 12q24 locus associated with fish intake frequency by genome-wide meta-analysis in Japanese populations","authors":"Maki Igarashi, S. Nogawa, K. Kawafune, Tsuyoshi Hachiya, Shoko Takahashi, Huijuan Jia, Kenji Saito, H. Kato","doi":"10.1186/s12263-019-0646-6","DOIUrl":"https://doi.org/10.1186/s12263-019-0646-6","url":null,"abstract":"","PeriodicalId":55123,"journal":{"name":"Genes and Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2019-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12263-019-0646-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43750514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}