Chronic constipation is a prevalent, multifactorial gastrointestinal disorder, and its etiology and pathophysiology remain poorly understood. Recently studies using 16S rRNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in chronic constipation. In addition, alterations of fecal flora of the a group of severely constipated patients had been reported. Constipation, an indicator of gut dysbiosis in dialysis patients, may also pose a greater burden in dialysis patients. Some recent findings highlight the plausible link between the gut and the kidneys and provide additional insights into the pathogenesis of kidney disease progression and development of cardiovascular disease. Yet, the constipation in dialysis patients is usually ignored and not even draw the attention of dialysis physician as an ominous risk factor of constipated dialysis patients. In view of multiple factors link the gut and cardiorenal pathophysiology, and the scarcity of literature on this issue, the aim of this study is want to know if constipation can result in any changes to the intestinal microbiota and is it associated with inflammation, atherogenic profile and levels of microbial derived uremic toxins. Here, the investigators use both self-reported Bristol stool form scale (BSFS) scores and Roman IV criteria to diagnose constipation and 16S rDNA Illumina amplicon profiles of faecal samples of 90 dialysis patients to assess potential associations between microbiota composition and constipation. The relationship between uremic toxins and inflammation will also be explored in the dialysis suffering from constipation.
Description: gut microbiota composition have been associated with increased production of indoxyl sulfate and p-cresyl sulfate, which is directly associated with endothelial dysfunction, inflammation and oxidative stress, and increases in the incidence of CVD and mortality.Measure: Serum uremic toxins such as indoxyl sulfate, p-cresol and IAA analysis Time: 1 years
Description: 16S rDNA Illumina amplicon profiles of faecal samples to assess potential associations between microbiota composition and constipation.Measure: Stool DNA Isolation and 16S rRNA Gene Amplicon Sequencing Time: 1 years
There are 2 SNPs
We quantified the analytes by using the analyte to standard peak area ratio on a Agilent 1100 High Performance Fluorescence detector G1321A and Agilent 1100 Series UV-Visible detectors G1314A. --- G1321A --- --- G1314A ---
We quantified the analytes by using the analyte to standard peak area ratio on a Agilent 1100 High Performance Fluorescence detector G1321A and Agilent 1100 Series UV-Visible detectors G1314A. --- G1321A ---