We aimed to investigate whether genetic variants in the leptin-melanocortin system involved in anorexigenic signaling influence personality dimensions and psychopathological symptoms in eating disorde Show more
We aimed to investigate whether genetic variants in the leptin-melanocortin system involved in anorexigenic signaling influence personality dimensions and psychopathological symptoms in eating disorders (ED) patients. The population consisted of 309 ED patients [221 with anorexia nervosa (AN) and 88 with bulimia nervosa (BN)] and 396 healthy controls. Patients underwent psychometric assessment using the Eating Disorders Inventory Test-2 (EDI-2) and the Symptom Checklist 90 Revised (SCL-90R) questionnaires. Fourteen tag-SNPs in the LEP, POMC, and MC4R genes, were determined. Drive for thinness (DT) was significantly affected by genetic variability. After correction for multiple testing, regression models showed that AN patients carrying the LEP rs11761556 CC variant genotype scored higher in this scale than AA/CA carriers did [mean difference = 4.43 (2.18-6.68), p < 0.001], although the significance was restrained to the restrictive subtype [4.92 (2.00-7.83), p = 0.001]. BN patients with the LEP rs10954173 AA genotype displayed lower scores [-8.7 (-12.31--3.91); p < 0.001]. Finally, gene-gene interaction analyses revealed two SNP pairs associated with body-mass index in AN patients (LEPrs3828942-POMCrs1009388, p < 0.001 and LEP rs11763517-POMCrs1009388, p = 0.002). Regarding DT scores, the POMCrs6545975-LEP11763517 SNP pair showed the strongest effect (p < 0.001) in AN. Genetic variants in the leptin-melanocortin system, may interact to influence personality dimensions in ED patients, which highlights the importance of considering genetic factors in the pathophysiology of these disorders. Show less
The composition and distribution of fatty acids (FA) are important factors determining the quality, flavor, and nutrient value of meat. In addition, FAs synthesized in the body participate in energy m Show more
The composition and distribution of fatty acids (FA) are important factors determining the quality, flavor, and nutrient value of meat. In addition, FAs synthesized in the body participate in energy metabolism and are involved in different regulatory pathways in the form of signaling molecules or by acting as agonist or antagonist ligands of different nuclear receptors. Finally, synthesis and catabolism of FAs affect adaptive immunity by regulating lymphocyte metabolism. The present study performed genome-wide association studies using FA profiles of blood, liver, backfat and muscle from 432 commercial Duroc pigs. Twenty-five genomic regions located on 15 Sus scrofa chromosomes (SSC) were detected. Annotation of the quantitative trait locus (QTL) regions identified 49 lipid metabolism-related candidate genes. Among these QTLs, four were identified in more than one tissue. The ratio of C20:4n-6/C20:3n-6 was associated with the region on SSC2 at 7.56-14.26Â Mb for backfat, liver, and muscle. Members of the fatty acid desaturase gene cluster (FADS1, FADS2, and FADS3) are the most promising candidate genes in this region. Two QTL regions on SSC14 (103.81-115.64Â Mb and 100.91-128.14Â Mb) were identified for FA desaturation in backfat and muscle. In addition, two separate regions on SSC9 at 0 - 14.55Â Mb and on SSC12 at 0-1.91Â Mb were both associated with the same multiple FA traits for backfat, with candidate genes involved in de novo FA synthesis and triacylglycerol (TAG) metabolism, such as DGAT2 and FASN. The ratio C20:0/C18:0 was associated with the region on SSC5 at 64.84-78.32Â Mb for backfat. Furthermore, the association of the C16:0 content with the region at 118.92-123.95Â Mb on SSC4 was blood specific. Finally, candidate genes involved in de novo lipogenesis regulate T cell differentiation and promote the generation of palmitoleate, an adipokine that alleviates inflammation. Several SNPs and candidate genes were associated with lipid metabolism in blood, liver, backfat, and muscle. These results contribute to elucidating the molecular mechanisms implicated in the determination of the FA profile in different pig tissues and can be useful in selection programs that aim to improve health and energy metabolism in pigs. Show less
Macroautophagy/autophagy is a conserved catabolic pathway that targets cytoplasmic components for their degradation and recycling in an autophagosome-dependent lysosomal manner. Under physiological co Show more
Macroautophagy/autophagy is a conserved catabolic pathway that targets cytoplasmic components for their degradation and recycling in an autophagosome-dependent lysosomal manner. Under physiological conditions, this process maintains cellular homeostasis. However, autophagy can be stimulated upon different forms of cellular stress, ranging from nutrient starvation to exposure to drugs. Thus, this pathway can be seen as a central component of the integrated and adaptive stress response. Here, we report that even brief induction of autophagy is coupled Show less
In the present study, we explored potential protein biomarkers useful to predict the therapeutic response of knee osteoarthritis (KOA) patients treated with pharmaceutical grade Chondroitin sulfate/Gl Show more
In the present study, we explored potential protein biomarkers useful to predict the therapeutic response of knee osteoarthritis (KOA) patients treated with pharmaceutical grade Chondroitin sulfate/Glucosamine hydrochloride (CS+GH; Droglican, Bioiberica), in order to optimize therapeutic outcomes. A shotgun proteomic analysis by iTRAQ labelling and liquid chromatography-mass spectrometry (LC-MS/MS) was performed using sera from 40 patients enrolled in the Multicentre Osteoarthritis interVEntion trial with Sysadoa (MOVES). The panel of proteins potentially useful to predict KOA patient's response was clinically validated in the whole MOVES cohort at baseline ( In the discovery phase of the study, a panel of six putative predictive biomarkers of response to CS+GH (APOA2, APOA4, APOH, ITIH1, C4BPa and ORM2) were identified by shotgun proteomics. Data are available via ProteomeXchange with identifier PXD012444. In the verification phase, the panel was verified in a larger set of KOA patients ( Combining clinical and analytical parameters, we identified one biomarker that could accurately predict KOA patients' response to CS+GH treatment. Its use would allow an increase in response rates and safety for the patients suffering KOA. Show less