Analysis of the Relationship Between the Degree of Dysbiosis in Gut Microbiota and Prognosis at Different Stages of Primary Hepatocellular Carcinoma

Abstract

Gut microbiota dysbiosis is closely associated with primary hepatocellular carcinoma (HCC). Recent studies have evaluated the early diagnosis of primary HCC through analysis of gut microbiota dysbiosis. However, the relationship between the degree of dysbiosis and the prognosis of primary HCC remains unclear. Because primary HCC is accompanied by dysbiosis and dysbiosis usually increases the circulatory concentrations of endotoxin and other harmful bacterial substances, which further increases liver damage, we hypothesized that level of dysbiosis associated with primary HCC increases with the stage of cancer progression. To test this hypothesis, we introduced a more integrated index referred to as the degree of dysbiosis ( D dys ); and we investigated D dys of the gut microbiota with the development of primary HCC through high-throughput sequencing of 16S rRNA gene amplicons. Our results showed that compared with healthy individuals, patients with primary HCC showed increased pro-inflammatory bacteria in their fecal microbiota. The D dys increased significantly in patients with primary HCC compared with that in healthy controls. Moreover, there was a tendency for the D dys to increase with the development of primary HCC, although no significant difference was detected between different stages of primary HCC. Our findings provide important insights into the use of gut microbiota analysis during the treatment of primary HCC.

Influence of hydropower stations on the water microbiota in the downstream of Jinsha River, China

“…The V4-V5 hypervariable region of the prokaryotic 16S rRNA gene was amplified using the universal primer pair 515F and 909R, with a 12-nt sample-specific barcode sequence included at the 5′-end of the 515F sequence to distinguish between samples (Huang et al, 2018;Ni et al, 2019). Polymerase chain reaction was performed and the amplicons were sequenced using a HiSeq system at Guangdong Meilikang Bio-Science, Ltd. (Guangdong, China), as described previously (Ni et al, 2017;Huang et al, 2018;Xiang et al, 2018).…”

Rotten-skin disease significantly changed giant spiny frog(Paa spinosa) gut microbiota

“…PCR was performed, and amplicons were sequenced using a MiSeq system at Guangdong Meilikang Bio-Science, Ltd. (China), as described previously (1). The raw sequences were merged using FLASH-1.2.8 software and processed using the QIIME pipeline 1.9.0 as described previously(1)(19). Chimeric sequences were identified and removed using the Uchime algorithm and the no-chimeric sequences were clustered into OTUs at 97% identity using UPARSE software (20) (21).…”

Artificial substrata increase pond farming density of grass carp (Ctenopharyngodon idella) by increasing the bacteria that participate in nitrogen and phosphorus cycles in pond water

“…The paired-end reads from the raw DNA fragments were merged using FLASH software. The merged tags were assigned to each sample according to the sample-specific barcodes, and the low-quality sequences were detected and removed using QIIME 1.9.0 software according to previous reports (Li et al, 2017; Huang et al, 2018; Ni et al, 2017; Ni et al, 2019). Chimeric sequences were detected and removed using Uchime algorithm (Edgar et al, 2011) embedded to QIIME 1.9.0 software.…”