Discovery of an immunosuppressive functional metabolite from the insect-derived endophytic Aspergillus taichungensis SMU01.

Three p-terphenyl metabolites (1-3), three indole-diterpenoids (4-6), an herbicide sesquiterpene (7), a flavonoid (8), and five other small molecules containing nitrogen (9-13) were isolated from the medicinal insect (Periplaneta americana)-derived endophytic Aspergillus taichungensis SMU01. Their chemical structures were elucidated on the basis of spectroscopic data and quantum chemical computational methods. Biological activity of these isolates in the differentiation of mouse CD4+ T cell subsets was evaluated. Importantly, metabolites 2 targeting JAK-STAT signaling pathway could hold potential benefits in maintaining peripheral immune homeostasis and alleviating the progression of autoimmune diseases.

Preliminary construction of a microecological evaluation model for uranium-contaminated soil.

With the extensive development of nuclear energy, soil uranium contamination has become an increasingly prominent problem. The development of evaluation systems for various uranium contamination levels and soil microhabitats is critical. In this study, the effects of uranium contamination on the carbon source metabolic capacity and microbial community structure of soil microbial communities were investigated using Biolog microplate technology and high-throughput sequencing, and the responses of soil biochemical properties to uranium were also analyzed. Then, ten key biological indicators as reliable input variables, including arylsulfatase, biomass nitrogen, metabolic entropy, microbial entropy, Simpson, Shannon, McIntosh, Nocardioides, Lysobacter, and Mycoleptodisus, were screened by random forest (RF), Boruta, and grey relational analysis (GRA). The optimal uranium-contaminated soil microbiological evaluation model was obtained by comparing the performance of three evaluation methods: partial least squares regression (PLS), support vector regression (SVR), and improved particle algorithm (IPSO-SVR). Consequently, partial least squares regression (PLS) has a higher R2 (0.932) and a lower RMSE value (0.214) compared to the other. This research provides a new evaluation method to describe the relationship between soil ecological effects and biological indicators under nuclear contamination.

Combined forage grass-microbial for remediation of strontium-contaminated soil.

Enrichment plants were screened from six forage grasses in this study to establish a complete combined forage grass-microbial remediation system of strontium-contaminated soil, and microbial groups were added to the screened dominant forage grasses. The occurrence states of strontium in forage grasses were explored by the BCR sequential extraction method. The results showed that the annual removal rate of Sudan grass (Sorghum sudanense (Piper) Stapf.) reached 23.05% in soil with a strontium concentration of 500 mg·kg-1. Three dominant microbial groups: E, G and H, have shown good facilitation effects in co-remediation with Sudan grass and Gaodan grass (Sorghum bicolor × sudanense), respectively. When compared to the control, the strontium accumulation of forage grasses in kg of soil with microbial groups was increased by 0.5-4 fold. The optimal forage grass-microbial combination can theoretically repair contaminated soil in three years. The microbial group E was found to promote the transfer of the exchangeable state and the reducible state of strontium to the overground part of the forage grass. Metagenomic sequencing results showed that the addition of microbial groups increased Bacillus spp. in rhizosphere soil, enhanced the disease resistance and tolerance of forage grasses, and improved the remediation ability of forage grass-microbial combinations.

The prognosis and clinicopathological significance of histone deacetylase in hepatocellular carcinoma: a meta-analysis.

The value of the different types of HDACs (histone deacetylases) for HCC (hepatocellular carcinoma) prognosis and clinicopathological features is still controversial. Here, we performed a meta-analysis to investigate the possible role of different types of HDACs in HCC. Until October 28, 2021, we have searched the Embase, Cochrane, PubMed, Scopus, Web of Science (WOS), SinoMed, Chinese China National Knowledge Infrastructure (CNKI), Chinese WanFang, and Chinese Weipu databases and evaluated eligible studies according to the criteria. We used hazard ratio (HR) and 95% confidence interval (95% CI) to evaluate the prognostic effects of different types of HDACs on overall survival (OS), disease-free survival (DFS)/recurrence-free survival (RFS) and used odds ratio (OR) and corresponding 95% CI to evaluate the significance of HDACs on clinicopathological characteristics. The I2 statistic and chi-square-based Q test were used to assess the heterogeneity. When the heterogeneity was significant, we conducted a subgroup analysis. In addition, Egger's test and funnel chart were used to assess publication bias. The high expression of class I HDACs was associated with poorer OS, DFS/RFS and differentiation, intrahepatic metastasis, tumor-node-metastasis (TNM), tumor number, tumor size, vascular invasion, and other poor clinicopathological characteristics. The high expression of class II HDACs was related to poor OS and multiple and larger tumors. After subgroup analysis, class II HDACs may also be related to worse TNM and Edmondson grading. The high expression of class III HDACs was related to poor OS, hepatitis B, liver cirrhosis, serum AFP, and vascular invasion. But it was more common in women and was related to single, smaller tumors. Type I, II, and III HDACs are associated with poor prognosis, and there are also correlations with some clinicopathological features, suggesting that different types of HDACs may be valuable biomarkers for HCC.