Objective To investigate the functional effects of probiotic treatment on the gut microbiota, as well as liver and adipose gene expression in diet-induced obese mice. Design Male C57BL/6J mice were ...fed a high-fat diet (HFD) for 8 weeks to induce obesity, and then randomized to receive HFD+probiotic (Lactobacillus curvatus HY7601 and Lactobacillus plantarum KY1032, n = 9) or HFD+placebo (n = 9) for another 10 weeks. Normal diet (ND) fed mice (n = 9) served as non-obese controls. Results Diet-induced obese mice treated with probiotics showed reduced body weight gain and fat accumulation as well as lowered plasma insulin, leptin, total-cholesterol and liver toxicity biomarkers. A total of 151,061 pyrosequencing reads for fecal microbiota were analyzed with a mean of 6,564, 5,274 and 4,464 reads for the ND, HFD+placebo and HFD+probiotic groups, respectively. Gut microbiota species were shared among the experimental groups despite the different diets and treatments. The diversity of the gut microbiota and its composition were significantly altered in the diet-induced obese mice and after probiotic treatment. We observed concurrent transcriptional changes in adipose tissue and the liver. In adipose tissue, pro-inflammatory genes (TNF alpha , IL6, IL1 beta and MCP1) were down-regulated in mice receiving probiotic treatment. In the liver, fatty acid oxidation-related genes (PGC1 alpha , CPT1, CPT2 and ACOX1) were up-regulated in mice receiving probiotic treatment. Conclusions The gut microbiota of diet-induced obese mice appears to be modulated in mice receiving probiotic treatment. Probiotic treatment might reduce diet-induced obesity and modulate genes associated with metabolism and inflammation in the liver and adipose tissue.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
MicroRNAs are powerful post-transcriptional regulators of gene expression and are biomarkers of chronic diseases such as cancer. This thesis explores the role of microRNAs in human cancer cachexia ...and Type 2 diabetes. MicroRNA expression was measured in skeletal muscle biopsies using RT-qPCR. In pancreatic cancer cachexia patients, expression of microRNA-1, microRNA-133a, microRNA-133b and microRNA-206 was negatively related to weight loss. In Type 2 diabetes skeletal muscle, microRNA-133a and microRNA-206 expression was down-regulated, but there was no evidence of altered microRNA transcription or processing and target expression was unchanged. Importantly, microRNA-133a expression predicted fasting glucose, glucose tolerance and insulin resistance, and therefore may be a biomarker of Type 2 diabetes. Experimental validation of microRNA arrays was unsuccessful in identifying further novel cancer cachexia and Type 2 diabetes microRNA biomarkers. MicroRNA knockdown validated CDC42 and PTBP1 as microRNA-133a targets in myoblasts. In addition, muscle microRNA expression may be regulated by insulin and TNFa. In conclusion, microRNA-133a may be a skeletal muscle biomarker of Type 2 diabetes and cancer cachexia, microRNA-133a responds to extracellular insulin and TNFa, but it remains to be established whether microRNA-133a contributes to cancer cachexia or Type 2 diabetes pathogenesis.
MicroRNAs are powerful post-transcriptional regulators of gene expression and are biomarkers of chronic diseases such as cancer. This thesis explores the role of microRNAs in human cancer cachexia ...and Type 2 diabetes. MicroRNA expression was measured in skeletal muscle biopsies using RT-qPCR. In pancreatic cancer cachexia patients, expression of microRNA-1, microRNA-133a, microRNA-133b and microRNA-206 was negatively related to weight loss. In Type 2 diabetes skeletal muscle, microRNA-133a and microRNA-206 expression was down-regulated, but there was no evidence of altered microRNA transcription or processing and target expression was unchanged. Importantly, microRNA-133a expression predicted fasting glucose, glucose tolerance and insulin resistance, and therefore may be a biomarker of Type 2 diabetes. Experimental validation of microRNA arrays was unsuccessful in identifying further novel cancer cachexia and Type 2 diabetes microRNA biomarkers. MicroRNA knockdown validated CDC42 and PTBP1 as microRNA-133a targets in myoblasts. In addition, muscle microRNA expression may be regulated by insulin and TNFa. In conclusion, microRNA-133a may be a skeletal muscle biomarker of Type 2 diabetes and cancer cachexia, microRNA-133a responds to extracellular insulin and TNFa, but it remains to be established whether microRNA-133a contributes to cancer cachexia or Type 2 diabetes pathogenesis.
Considerable evidence suggests that autism spectrum disorders (ASD), schizophrenia (SCZ), bipolar disorder (BD) and obsessive-compulsive disorder (OCD) share a common molecular aetiology, despite ...their unique clinical diagnostic criteria. The aim of this study was therefore to determine and characterise the common and unique molecular architecture of ASD, SCZ, BD and OCD. Gene lists were obtained from previously published studies for ASD, BD, SCZ and for OCD. Genes identified to be common to all disorders, or unique to one specific disorder, were included for enrichment analyses using the web-server tool Enrichr. Ten genes were identified to be commonly associated with the aetiology of ASD, SCZ, BD and OCD. Enrichment analyses determined that these genes are predominantly involved in the dopaminergic and serotonergic pathways, the voltage-gated calcium ion channel gene network, folate metabolism, regulation of the hippo signaling pathway, and the regulation of gene silencing and expression. In addition to well-characterised and previously described pathways, regulation of the hippo signaling pathway was commonly associated with ASD, SCZ, BD and OCD, implicating neural development and neuronal maintenance as key in neuropsychiatric disorders. In contrast, a large number of previously associated genes were shown to be disorder-specific. And unique disorder-specific pathways and biological processes were presented for ASD, BD, SCZ and OCD aetiology. Considering the current global incidence and prevalence rates of mental health disorders, focus should be placed on cross-disorder commonalities in order to realise actionable and translatable results to combat mental health disorders.
•10 common genes were identified for the aetiology of ASD, SCZ, BD and OCD.•The majority of genes investigated were disorder-specific.•Neural development and neuronal maintenance are key in neuropsychiatric disorders.•Cross-disorder results provide good candidates to combat mental health disorders.
The ecological impact of night-time lighting is of concern because of its well-demonstrated effects on animal behaviour. However, the potential of light pollution to change plant phenology and its ...corresponding knock-on effects on associated herbivores are less clear. Here, we test if artificial lighting can advance the timing of budburst in trees. We took a UK-wide 13 year dataset of spatially referenced budburst data from four deciduous tree species and matched it with both satellite imagery of night-time lighting and average spring temperature. We find that budburst occurs up to 7.5 days earlier in brighter areas, with the relationship being more pronounced for later-budding species. Excluding large urban areas from the analysis showed an even more pronounced advance of budburst, confirming that the urban ‘heat-island’ effect is not the sole cause of earlier urban budburst. Similarly, the advance in budburst across all sites is too large to be explained by increases in temperature alone. This dramatic advance of budburst illustrates the need for further experimental investigation into the impact of artificial night-time lighting on plant phenology and subsequent species interactions. As light pollution is a growing global phenomenon, the findings of this study are likely to be applicable to a wide range of species interactions across the world.
Objective: To determine the effects of naturally derived probiotic strains individually or combination on a short‐term diet‐induced obesity model.
Design and Methods: C57BL/6J mice (n = 50) were ...randomly divided into five groups, then fed a high‐fat high‐cholesterol diet (HFCD), HFCD and Lactobacillus plantarum KY1032 (PL, 1010cfu/day), HFCD and Lactobacillus curvatus HY7601 (CU, 1010cfu/day), HFCD and in combination with PL+CU (1010cfu/day), or a normal diet (ND) for 9 weeks.
Results: PL and CU showed distinct and shared metabolic activity against a panel of 50 carbohydrates. Fat accumulation in adipose tissue and liver was significantly reduced by probiotic strains CU or PL+CU. Probiotic strains CU or PL+CU reduced cholesterol in plasma and liver, while PL+CL had a synergistic effect on hepatic triglycerides. Probiotic strains PL+CU combination was more effective for inhibiting gene expressions of various fatty acid synthesis enzymes in the liver, concomitant with decreases in fatty acid oxidation‐related enzyme activities and their gene expressions.
Conclusions: Multi‐strain probiotics may prove more beneficial than single‐strain probiotics to combat fat accumulation and metabolic alterations in diet‐induced obesity.
With moth declines reported across Europe, and parallel changes in the amount and spectra of street lighting, it is important to understand exactly how artificial lights affect moth populations. We ...therefore compared the relative attractiveness of shorter wavelength (SW) and longer wavelength (LW) lighting to macromoths. SW light attracted significantly more individuals and species of moth, either when used alone or in competition with LW lighting. We also found striking differences in the relative attractiveness of different wavelengths to different moth groups. SW lighting attracted significantly more Noctuidae than LW, whereas both wavelengths were equally attractive to Geometridae. Understanding the extent to which different groups of moth are attracted to different wavelengths of light will be useful in determining the impact of artificial light on moth populations.
Voltage-gated calcium channels have been implicated in schizophrenia aetiology; however, little is known about their involvement in antipsychotic treatment response. This study investigated variants ...within the calcium channel subunit genes for association with antipsychotic treatment response in a first episode schizophrenia cohort. Twelve regulatory variants within seven genes were shown to be significantly associated with treatment outcome. Most notably, the CACNA1B rs2229949 CC genotype was associated with improved negative symptomology, where the C allele was predicted to abolish a miRNA-binding site (has-mir-5002-3p), suggesting a possible mechanism of action through which this variant may have an effect. These results implicate the calcium channel subunits in antipsychotic treatment response and suggest that increased activation of these channels may be explored to enhance or predict antipsychotic treatment outcome.
Although next-generation sequencing technologies have been widely adapted for clinical diagnostic applications, an urgent need exists for multianalyte calibrator materials and controls to evaluate ...the performance of these assays. Control materials will also play a major role in the assessment, development, and selection of appropriate alignment and variant calling pipelines. We report an approach to provide effective multianalyte controls for next-generation sequencing assays, referred to as the control plasmid spiked-in genome (CPSG). Control plasmids that contain approximately 1000 bases of human genomic sequence with a specific mutation of interest positioned near the middle of the insert and a nearby 6-bp molecular barcode were synthesized, linearized, quantitated, and spiked into genomic DNA derived from formalin-fixed, paraffin-embedded–prepared hapmap cell lines at defined copy number ratios. Serial titration experiments demonstrated the CPSGs performed with similar efficiency of variant detection as formalin-fixed, paraffin-embedded cell line genomic DNA. Repetitive analyses of one lot of CPSGs 90 times during 18 months revealed that the reagents were stable with consistent detection of each of the plasmids at similar variant allele frequencies. CPSGs are designed to work across most next-generation sequencing methods, platforms, and data analysis pipelines. CPSGs are robust controls and can be used to evaluate the performance of different next-generation sequencing diagnostic assays, assess data analysis pipelines, and ensure robust assay performance metrics.
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