糖尿病患者肠道菌群特征及其相关性的系统评价

目的对糖尿病患者肠道菌群特征及其相关性进行系统评价。方法检索知网、维普、万方、PubMed、Cochrane library、Embase等数据库关于糖尿病患者肠道菌群特征及其相关性的文献,同时追踪纳入文献的参考文献,时限为2009年3月至2019年3月,采用统一提取表,由两名研究者独立按照规定的纳入排除标准进行文献提取和方法学质量评估。最后采用RevMan 5.3软件进行Meta合并,Stata 12.0软件进行亚组分析与发表性偏倚识别。结果共纳入25篇研究,合计2 209例患者。Meta分析显示:(1)糖尿病患者菌群总量(SMD=-0.30,P=0.53)、乳杆菌数量(SMD=-0.79,P=0.20)下降,拟杆菌数量(SMD=1.43,P=0.12)、梭菌数量(SMD=0.28,P=0.40)增加,差异均无统计学意义,双歧杆菌数量(SMD=-1.82,P=0.02)下降,差异有统计学意义。(2)糖尿病患者菌群Shannon指数I~2=91%,r=-0.21[-0.32,0.09],P0.05;Chao1指数I~2=0%,r=-28.17[-40.85,-15.48],P0.05;均下降。(3)拟杆菌、双歧杆菌、梭菌与空腹血糖的相关性分别为:I~2=0%,r=-0.15[-0.27,-0.03];I~2=0%,r=-1.16[-1.42,0.91];I~2=0%,r=-0.28[-0.42,-0.14],均P0.05。而乳杆菌的相关性差异无统计学意义:I~2=47%,r=-0.00[-0.30,0.29],P=0.98。(4)乳杆菌和拟杆菌与炎症因子(TNF-α、IL-6)呈负相关,乳杆菌(r=-0.43;r=-0.60),P0.05;拟杆菌(r=-0.58;r=-0.58),P0.05,差异有统计学意义。结论糖尿病患者肠道菌群总量无明显变化,但有益菌含量和多样性下降,拟杆菌、双歧杆菌和梭菌含量与血糖水平呈负相关,而乳杆菌无相关,其结果还需要大样本、高质量的研究加以论证。     

Clinical features and hematological findings of COVID-19 patients with blood transfusion

This paper aims to illustrate the clinical characteristics, hematological findings, and blood transfusion information of Coronavirus disease 2019 (COVID-19) patients. Twenty-three COVID-19 patients were treated and transfused with blood products in Wuhan First Hospital from February 12 to March 20, 2020. The patients were divided into a survivor group and a non-survivor group, respectively, according to whether the patient had been discharged or died. The results demonstrated at the time of initial blood transfusion, that the non-survivor group possessed a lower platelet (PLT) than that of the survivor group (P<0.001), and PLT were below the normal range in 6 (85.7%) non-survivor group and in 2 (12.5%) survivor group (P<0.01). Over half of these patients had abnormalities in fibrinogen (FIB), activated partial thromboplastin time (APTT), prothrombin time (PT), and international normalized ratio (INR), but no significant difference was found between the non-survivor group and survivor group. The non-survivor group had a dramatically higher D-Dimers and disseminated intravascular coagulation (DIC) scores than those of the survivor group (P<0.01). Six (85.7%) non-survivors but none of the survivors had a DIC score greater than 6 (P<0.001). Fifteen (93.8%) survivors and 2 (28.6%) non-survivors were transfused with RBC (P<0.01). The non-survivors (5/7) possessed a higher proportion for using AP than the survivors (2/16). The study suggests that COVID-19 patients who undergo blood transfusion usually possess coagulation dysfunction, and DIC may be closely related to deteriorating clinical outcomes.     

Meiofauna promotes litter decomposition in stream ecosystems depending on leaf species

Litter decomposition, a fundamental process of nutrient cycling and energy flow in freshwater ecosystems, is driven by a diverse array of decomposers. As an important component of the heterotrophic food web, meiofauna can provide a trophic link between leaf‐associated microbes (i.e., bacteria and fungi)/plant detritus and macroinvertebrates, though their contribution to litter decomposition is not well understood. To investigate the role of different decomposer communities in litter decomposition, especially meiofauna, we compared the litter decomposition of three leaf species with different lignin to nitrogen ratios in litter bags with different mesh sizes (0.05, 0.25, and 2 mm) in a forested stream, in China for 78 days. The meiofauna significantly enhanced the decomposition of leaves of high‐and medium‐ quality, while decreasing (negative effect) or increasing (positive effect) the fungal biomass and diversity. Macrofauna and meiofauna together contributed to the decomposition of low‐quality leaf species. The presence of meiofauna and macrofauna triggered different aspects of the microbial community, with their effects on litter decomposition varying as a function of leaf quality. This study reveals that the meiofauna increased the trophic complexity and modulated their interactions with microbes, highlighting the important yet underestimated role of meiofauna in detritus‐based ecosystems.     

Histone deacetylase 10, a potential epigenetic target for therapy

Histone deacetylase (HDAC) 10, a class II family, has been implicated in various tumors and non-tumor diseases, which makes the discovery of biological functions and novel inhibitors a fundamental endeavor. In cancers, HDAC10 plays crucial roles in regulating various cellular processes through its epigenetic functions or targeting some decisive molecular or signaling pathways. It also has potential clinical utility for targeting tumors and non-tumor diseases, such as renal cell carcinoma, prostate cancer, immunoglobulin A nephropathy (IgAN), intracerebral hemorrhage, human immunodeficiency virus (HIV) infection and schizophrenia. To date, relatively few studies have investigated HDAC10-specific inhibitors. Therefore, it is important to study the biological functions of HDAC10 for the future development of specific HDAC10 inhibitors. In this review, we analyzed the biological functions, mechanisms and inhibitors of HDAC10, which makes HDAC10 an appealing therapeutic target.     

LncRNA UCA1 elevates the resistance of human leukemia cells to daunorubicin by the PI3K/AKT pathway via sponging miR-613

Acute leukemia is a hematological malignant tumor. Long non-coding RNA urothelial cancer-associated 1 (UCA1) is involved in the chemo-resistance of diverse cancers, but it is unclear whether UCA1 is associated with the sensitivity of acute leukemia cells to daunorubicin (DNR). DNR (100 nM) was selected for functional analysis. The viability, cell cycle progression, apoptosis, and invasion of treated acute leukemia cells (HL-60 and U-937) were evaluated by cell counting kit-8 (CCK-8) assay, flow cytometry assay, or transwell assay. Protein levels were detected with Western blot analysis. Expression patterns of UCA1 and miR-613 were assessed by quantitative real-time polymerase chain reaction (qRT-PCR). The relationship between UCA1 and microRNA-613 (miR-613) was verified by dual-luciferase reporter assay. We observed that UCA1 expression was elevated in HL-60 and U-937cells. DNR constrained viability, cell cycle progression, invasion, and facilitated apoptosis of HL-60 and U-937 cells in a dose-dependent manner, but these impacts mediated by DNR were reverted after UCA1 overexpression. MiR-613 was down-regulated in HL-60 and U-937 cells, and UCA1 was verified as a miR-613 sponge. MiR-613 inhibitor reversed DNR treatment-mediated effects on viability, cell cycle progression, apoptosis, and invasion of HL-60 and U-937 cells, but these impacts mediated by miR-613 inhibitor were counteracted after UCA1 inhibition. Notably, the inactivation of the PI3K/AKT pathway caused by DNR treatment was reversed after miR-613 inhibitor introduction, but this influence mediated by miR-613 inhibitor was offset after UCA1 knockdown. In conclusion, UCA1 up-regulation facilitated the resistance of acute leukemia cells to DNR via the PI3K/AKT pathway by sponging miR-613.     

Genetic diversity of mitochondrial D-LOOP sequences in the spotted scat (Scatophagus argus) from different geographical populations along the northern coast of the South China Sea

The genetic diversity of 289 spotted scat (Scatophagus argus) from seven populations along the northern coast of the South China Sea was studied by analyzing the full-length sequences of the mitochondrial control region (D-LOOP). The S. argus D-LOOP sequence was 1,004–1,010 bp long and contained 156 variant sites. The seven studied S. argus populations had a high degree of genetic diversity (haplotype diversity [Hd] = 0.99135; nucleotide diversity (π) = 0.01313). There was no obvious genetic differentiation among the seven geographical populations and gene exchange was frequent (Fst = −0.01867–0.01117, p > .05). Four distinct mitochondrial lineages were identified in the phylogenetic tree and the haplotype network. The between-lineage Fst was 0.71690–0.84940 (p < .001), but these lineages showed no obvious phylogeographic pattern. Based on D-LOOP mutation rates, we estimated that the four lineages diverged approximately 513,800–93,600 years ago, during the Eocene ice age, at which time falling sea levels may have led to population segregation. We estimated that S. argus population expansion occurred approximately 2.29–0.68 million years ago, during the late Pleistocene. During this period, sea levels rose again, allowing previously separated lineages to come into sympatry, which eventually gave rise to a highly genetically diverse population without pyhlogeographic structure. Here, we characterized the genetic structure and differentiation of seven S. argus populations from the northern coast of the South China Sea. Our results suggested that the seven S. argus populations from the northern coast of the South China Sea have a relatively low level of genetic variation and can be considered a single unit for the purposes of fishery development, utilization, and management.     

Entropy subspace separation-based clustering for noise reduction (ENCORE) of scRNA-seq data

Single-cell RNA sequencing enables us to characterize the cellular heterogeneity in single cell resolution with the help of cell type identification algorithms. However, the noise inherent in single-cell RNA-sequencing data severely disturbs the accuracy of cell clustering, marker identification and visualization. We propose that clustering based on feature density profiles can distinguish informative features from noise. We named such strategy as ‘entropy subspace’ separation and designed a cell clustering algorithm called ENtropy subspace separation-based Clustering for nOise REduction (ENCORE) by integrating the ‘entropy subspace’ separation strategy with a consensus clustering method. We demonstrate that ENCORE performs superiorly on cell clustering and generates high-resolution visualization across 12 standard datasets. More importantly, ENCORE enables identification of group markers with biological significance from a hard-to-separate dataset. With the advantages of effective feature selection, improved clustering, accurate marker identification and high-resolution visualization, we present ENCORE to the community as an important tool for scRNA-seq data analysis to study cellular heterogeneity and discover group markers.     

Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU

Emerging data show a rise in colorectal cancer (CRC) incidence in young men and women that is often chemoresistant. One potential risk factor is an alteration in the microbiome. Here, we investigated the role of TGF-β signaling on the intestinal microbiome and the efficacy of chemotherapy for CRC induced by azoxymethane and dextran sodium sulfate in mice. We used two genotypes of TGF-β-signaling-deficient mice (Smad4^+/? and Smad4^+/?Sptbn1^+/?), which developed CRC with similar phenotypes and had similar alterations in the intestinal microbiome. Using these mice, we evaluated the intestinal microbiome and determined the effect of dysfunctional TGF-β signaling on the response to the chemotherapeutic agent 5-Fluoro-uracil (5FU) after induction of CRC. Using shotgun metagenomic sequencing, we determined gut microbiota composition in mice with CRC and found reduced amounts of beneficial species of Bacteroides and Parabacteroides in the mutants compared to the wild-type (WT) mice. Furthermore, the mutant mice with CRC were resistant to 5FU. Whereas the abundances of E. boltae, B.dorei, Lachnoclostridium sp., and Mordavella sp. were significantly reduced in mice with CRC, these species only recovered to basal amounts after 5FU treatment in WT mice, suggesting that the alterations in the intestinal microbiome resulting from compromised TGF-β signaling impaired the response to 5FU. These findings could have implications for inhibiting the TGF-β pathway in the treatment of CRC or other cancers.