Sterile Diet Causes Gut Microbiome Collapse of Cancer Patients Post Hematopoietic Cell Transplantation, But Normal Diet Recovers Them.

Though sterile diet, post-transplantation surgery is a clinical strategy for patient care to prevent the infiltration of gut pathogens, less is known about its effects on the gut microbiome. Here, the gut microbiome dynamics of leukemia patients following a 120-day "sterile-normal" diet strategy posthematopoietic cell transplantation are examined. In contrast to the traditional idea, a sterile diet leads to the lowest gut microbiota diversity (p < 0.05) and short-chain fatty acids, promoted the proliferation of potential pathogens such as Streptococcus (up by 16.93%) and Lactobacillus (up by 40.30%), and 43.32% reduction in nodes and an 85.33% reduction in edges within the microbial interaction's network. Interestingly, a normal diet allows the gut microbiome recovery and significantly promotes the abundance of beneficial bacteria. These results indicate that a sterile diet leads to a collapse of the patient's gut microbiome and promoted the proliferation of potential pathogens. This assay is a starting point for a more sophisticated assessment of the effects of a sterile diet. The work also suggests a basic principle for the re-establishment of microbial equilibrium that supplementation of microbial taxa may be the key to the restoration of the degraded ecosystem.

Viral community distribution, assembly mechanism, and associated hosts in an industrial park wastewater treatment plant.

Viruses manipulate bacterial community composition and impact wastewater treatment efficiency. Some viruses pose threats to the environment and human populations through infection. Improving the efficiency of wastewater treatment and ensuring the health of the effluent and receptor pools requires an understanding of how viral communities assemble and interact with hosts in wastewater treatment plants (WWTPs). We used metagenomic analysis to study the distribution, assembly mechanism, and sensitive hosts for the viral communities in raw water, anaerobic tanks, and returned activated sludge units of a large-scale industrial park WWTP. Uroviricota (53.42% ± 0.14%) and Nucleocytoviricota (26.1% ± 0.19%) were dominant in all units. Viral community composition significantly differed between units, as measured by ß diversity (P = 0.005). Compared to raw water, the relative viral abundance decreased by 29.8% in the anaerobic tank but increased by 9.9% in the activated sludge. Viral community assembly in raw water and anaerobic tanks was predominantly driven by deterministic processes (MST <0.5) versus stochastic processes (MST >0.5) in the activated sludge, indicating that differences in diffusion limits may fundamentally alter the assembly mechanisms of viral communities between the solid and liquid-phase environments. Acidobacteria was identified as the sensitive host contributing to viral abundance, exhibiting strong interactions and a mutual dependence (degree = 59). These results demonstrate the occurrence and prevalence of viruses in WWTPs, their different assembly mechanism, and sensitive hosts. These observations require further study of the mechanisms of viral community succession, ecological function, and roles in the successive wastewater treatment units.

Differences in pathogenic community assembly processes and their interactions with bacterial communities in river and lake ecosystems.

Pathogenic bacterial infections caused by water quality degradation are one of the most widespread environmental problems. Clarifying the structure of pathogens and their assembly mechanisms in lake ecosystems is vital to prevent the infestation of waterborne pathogens and maintain human health. However, the composition and assembly mechanisms of pathogenic bacterial communities in river and lake ecosystems are still poorly understood. In this study, we collected 17 water and 17 sediment samples from Lake Chaohu and its 11 inflow rivers. Sequencing of 16S rRNA genes was used to study bacterial pathogen communities. The results of the study showed that there was a significant difference (P < 0.05) in the composition of the pathogen community between riverine and lake habitats. Acinetobacter (36.49%) was the dominant bacterium in the river, whereas Flavobacterium (21.6%) was the most abundant bacterium in the lake. Deterministic processes (i.e., environmental filtering and species interaction) drove the assembly of pathogenic bacterial communities in the lake habitat, while stochastic processes shaped river pathogenic bacterial communities. Spearman correlation analysis showed that the α-diversity of bacterial communities was linearly and negatively linked to the relative abundance of pathogens. Having a higher bacterial community diversity had a suppressive effect on pathogen abundance. In addition, co-occurrence network analysis showed that bacterial communities were tightly linked to pathogenic bacteria. Pseudomonas aeruginosa and Salmonella enterica were identified as keystone species in an inflow water sampling network (W_FR), reducing the complexity of the network. These results provide a reference for assessments of water quality safety and pathogenic bacteria posing risks to human health in large freshwater lakes.

Illustrating the biological functions and diagnostic value of transmembrane protein family members in glioma.

Background: It is well-established that patients with glioma have a poor prognosis. Although the past few decades have witnessed unprecedented medical advances, the 5-year survival remains dismally low. Objective: This study aims to investigate the role of transmembrane protein-related genes in the development and prognosis of glioma and provide new insights into the pathogenesis of the disease. Methods: The datasets of glioma patients, including RNA sequencing data and relative clinical information, were obtained from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA) and Gene Expression Omnibus (GEO) databases. Prognostic transmembrane protein-related genes were identified by univariate Cox analysis. New disease subtypes were recognized based on the consensus clustering method, and their biological uniqueness was verified via various algorithms. The prognosis signature was constructed using the LASSO-Cox regression model, and its predictive power was validated in external datasets by receiver operating characteristic (ROC) curve analysis. An independent prognostic analysis was conducted to evaluate whether the signature could be considered a prognostic factor independent of other variables. A nomogram was constructed in conjunction with traditional clinical variables. The concordance index (C-index) and Decision Curve Analysis (DCA) were used to assess the net clinical benefit of the signature over traditional clinical variables. Seven different softwares were used to compare the differences in immune infiltration between the high- and low-risk groups to explore potential mechanisms of glioma development and prognosis. Hub genes were found using the random forest method, and their expression was based on multiple single-cell datasets. Results: Four molecular subtypes were identified, among which the C1 group had the worst prognosis. Principal Component Analysis (PCA) results and heatmaps indicated that prognosis-related transmembrane protein genes exhibited differential expression in all four groups. Besides, the microenvironment of the four groups exhibited significant heterogeneity. The 6 gene-based signatures could predict the 1-, 2-, and 3-year overall survival (OS) of glioma patients. The signature could be used as an independent prognosis factor of glioma OS and was superior to traditional clinical variables. More immune cells were infiltrated in the high-risk group, suggesting immune escape. According to our signature, many genes were associated with the content of immune cells, which revealed that transmembrane protein-related genes might influence the development and prognosis of glioma by regulating the immune microenvironment. TMEM158 was identified as the most important gene using the random forest method. The single-cell datasets consistently showed that TMEM158 was expressed in multiple malignant cells. Conclusion: The expression of transmembrane protein-related genes is closely related to the immune status and prognosis of glioma patients by regulating tumor progression in various ways. The interaction between transmembrane protein-related genes and immunity during glioma development lays the groundwork for future studies on the molecular mechanism and targeted therapy of glioma.

Wastewater treatment effectiveness is facilitated by crucial bacterial communities in the wetland ecosystem.

Microorganisms play essential roles in nutrient removal and biogeochemical cycling during wastewater treatment. However, little is known about the main roles of key functional bacterial communities in wastewater treatment processes. We collected 18 water samples and 15 sediment samples from the six operational subsystems of the constructed wetland, among which the contact oxidation pond, enhanced hybrid biofilm reactor, and central stabilization pond are the main wastewater treatment units in the constructed wetland, and then investigated the bacterial communities using 16S rRNA gene targeting and sequencing to address this knowledge gap. The results indicated that the composition of the bacterial community is closely related to the efficiency of pollutant removal. The abundant carbon metabolism function increased the removal of nitrate­nitrogen (NO3--N) and total nitrogen (TN) by the contact oxidation pond by 89.84 % and 38.91 %, respectively. The overlap of ecological niches and the presence of pathogenic bacteria substantially affect effluent wastewater treatment. Second, NO3--N (p < 0.001) was the most important factor driving the bacterial community composition in water and sediments. Furthermore, the positive structure was prevalent in the cooccurrence network of water samples (87.24 %) and sediments (76.53 %) of the wetland, and this positive structure with keystone species was critical for the adaptation of the bacterial community to environmental filtration. In summary, this study reveals the distribution patterns of bacterial communities in different wastewater treatment processes and their driving factors and provides new perspectives on the link between the bacterial community composition and wastewater treatment.

A preliminary study on home range and daily travel distance of François' langur in a high-altitude area.

François' langur (Trachypithecus francoisi) is an indicator species living in Karst rocky habitats. To understand the François' langurs ecological adaptation to high-altitude habitat, we used the field tracking method to collect home-range data and daily travel distance of François' langur at high-altitude (800-1400 m) areas of Kuankuoshui National Nature Reserve between April 2008 and March 2009. The results revealed the following: (1) according to the grid cell method, the home range of François' langurs was estimated to be 50.7 ha. The area in the winter-spring season was larger than in the summer-autumn season (37.7 vs. 27.7 ha). According to the minimum convex polygon method by GIS, the home range of François' langurs in the winter-spring season and the summer-autumn season was 123.5 and 68.8 ha, respectively. The whole-year home range of François' was clearly larger than the grid cell method (140.4 vs. 50.7 ha). (2) The home range of François' langurs had clear superposition. Langur's core areas were concentrated in three small areas, which only occupied 18.2% of the home range. (3) The langur had a short daily travel distance (230-1115 m) and significant seasonal differences. The summer-autumn season moving distances being obviously shorter than the winter-spring season (517 vs. 785 m). (4) With the decrease in the availability of food resource in winter-spring season, the home range and daily travel distance of François' langurs significantly increased. (5) Living in the high altitudes, François' langurs tended to form a larger group (≥ 8 individuals), which is larger than other groups at lower altitude, had the larger home range, and had shorter daily travel distance. Our results indicate that colobines' survival strategies tend to form a larger home range and shorter day-traveling distance to adapt to high-altitude and low-temperature habitat.

Study of Compound Sanqi Nanoparticles for Local Infection of Hydrocephalus Patients after Neurosurgery Medium Craniocerebral Injury.

Panax notoginseng is the dried root and rhizome of Panax notoginseng, which has the effect of lowering blood lipid, lowering blood pressure and promoting blood circulation to remove blood stasis. At present, the research on Panax notoginseng is mainly focused on its pharmacological action and its compound preparation, but the research on the granule of Panax notoginseng is less. This paper mainly studied the clinical study of compound notoginseng nanoparticles in the treatment of local infection in patients with hydrocephalus after medium craniocerebral injury in neurosurgery. The purpose of this article is to investigate the effects of compound notoginseng nanoparticles on serum TNF-α, IL-2 and IL-6 in rats with craniocerebral injury and to verify the protective effect of compound notoginseng nanoparticles on the body after craniocerebral injury. In this paper, 90 patients admitted to a hospital in this city were divided into a control group, model group and compound notoginseng nanoparticle group. According to the Zealonga method, the neurological function deficit score of experimental rats in each group was evaluated. The levels of TNF-α, IL-2 and IL-6 in the serum of the three groups were observed 1, 3 and 5 days after treatment. RESULTS: Compared with serum TNF-α, IL-2 and IL-6 of the three groups, there were significant differences in the main effects of time and intervention (P < 0.05). CONCLUSIONS: Compound notoginseng nanoparticles can reduce the contents of TNF-α and IL-6 in serum and increase the expression of IL-2 in rats with craniocerebral injury.