Greenhouse gas emission characteristics during kitchen waste composting with biochar and zeolite addition.

Aerobic kitchen waste composting can contribute to greenhouse gas (GHGs) emissions and global warming. This study investigated the effects of biochar and zeolite on GHGs emissions during composting. The findings demonstrated that biochar could reduce N2O and CH4 cumulative releases by 47.7 %and 47.9 %, respectively, and zeolite could reduce the cumulative release of CO2 by 28.4 %. Meanwhile, the biochar and zeolite addition could reduce the abundance of potential core microorganisms associated with GHGs emissions. In addition, biochar and zeolite reduced N2O emissions by regulating the abundance of nitrogen conversion functional genes. Biochar and zeolite were shown to reduce the impact of bacterial communities on GHGs emissions. In summary, this study revealed that biochar and zeolite can effectively reduce GHG emissions during composting by altering the compost microenvironment and regulating microbial community structure. Such findings are valuable for facilitating high-quality resource recovery of organic solid waste.

From Phenomenon to Essence: A Newly Involved lncRNA Kcnq1ot1 Protective Mechanism of Bone Marrow Mesenchymal Stromal Cells in Liver Cirrhosis.

Bone marrow mesenchymal stromal cells (BMSCs) have a protective effect against liver cirrhosis. Long noncoding RNAs (lncRNAs) play crucial roles in the progression of liver cirrhosis. Therefore, it is aimed to clarify the lncRNA Kcnq1ot1 involved protective mechanism of BMSCs in liver cirrhosis. This study found that BMSCs treatment attenuates CCl4 -induced liver cirrhosis in mice. Additionally, the expression of lncRNA Kcnq1ot1 is upregulated in human and mouse liver cirrhosis tissues, in addition to TGF-ß1-treated LX2 cells and JS1 cells. The expression of Kcnq1ot1 in liver cirrhosis is reversed with BMSCs treatment. The knockdown of Kcnq1ot1 alleviated liver cirrhosis both in vivo and in vitro. Fluorescence in situ hybridization (FISH) confirms that Kcnq1ot1 is mainly distributed in the cytoplasm of JS1 cells. It is predicted that miR-374-3p can directly bind with lncRNA Kcnq1ot1 and Fstl1, which is verified via luciferase activity assay. The inhibition of miR-374-3p or the overexpression of Fstl1 can attenuate the effect of Kcnq1ot1 knockdown. In addition, the transcription factor Creb3l1 is upregulated during JS1 cells activation. Moreover, Creb3l1 can directly bind to the Kcnq1ot1 promoter and positively regulate its transcription. In conclusion, BMSCs alleviate liver cirrhosis by modulating the Creb3l1/lncRNA Kcnq1ot1/miR-374-3p/Fstl1 signaling pathway.

Effect of different moisture contents on hydrogen sulfide malodorous gas emission during composting.

The sulfate reduction reaction releases malodorous gases (H2S) during composting, with potential pollution risks to the environment. In this study, chicken manure (CM) with high sulfur content and beef cattle manure (BM) with low sulfur content were used to investigate the effect of control (CK) and low moisture content (LW) on sulfur metabolism. The results showed that compared to CK composting, the cumulative H2S emission of CM and BM composting decreased by 27.27% and 21.08% under LW condition, respectively. Meanwhile, the abundance of core microorganisms related to sulfur components was reduced under LW condition. Furthermore, the KEGG sulfur pathway and network analysis suggested that LW composting weakened the sulfate reduction pathway, and reduced the number and abundance of functional microorganisms and genes. These results indicated that low moisture content had important effects on inhibiting the release of H2S during composting, which provided a scientific basis to control environmental pollution.

The influence of prostate volume on clinical parameters in prostate cancer screening.

PURPOSE: The purpose of the study was to evaluate the diagnostic significance of two new and a few clinical markers for prostate cancer (PCa) at various prostate volumes (PV). METHODS: The study subjects were divided into two groups. Among them, there were 70 cases in the PV ≤30 ml group (benign prostatic hyperplasia [BPH]: 32 cases, PCa: 38 cases) and 372 cases in the PV > 30 ml group (BPH: 277 cases, PCa: 95 cases). SPSS 26.0 and GraphPad Prism 8.0 were used to construct their receiver operating characteristic (ROC) curves for diagnosing PCa and calculating their area under the ROC curve (AUC). RESULTS: In the PV ≤30 ml group, the diagnostic parameters based on prostate-specific antigen (PSA) had a decreased diagnostic significance for PCa. In the PV > 30 ml group, PSAD (AUC = 0.709), AVR (AVR = Age/PV, AUC = 0.742), and A-PSAD (A-PSAD = Age×PSA/PV, AUC = 0.736) exhibited moderate diagnostic significance for PCa, which was better than PSA-AV (AUC = 0.672), free PSA (FPSA, AUC = 0.509), total PSA (TPSA, AUC = 0.563), (F/T) PSA (AUC = 0.540), and (F/T)/PSAD (AUC = 0.663). Compared with AVR, A-PSAD exhibited similar diagnostic significance for PCa, but higher than PSA density (PSAD). CONCLUSIONS: Choosing appropriate indicators for different PVs could contribute to the early screening and diagnosis of PCa. The difference in the diagnostic value of two new indicators (A-PSAD and AVR), and PSAD for PCa may require further validation by increasing the sample size.

Role and correlation of exosomes and integrins in bone metastasis of prostate cancer.

Prostate cancer (PCa) is one of the most prevalent tumours of the male genitourinary system in the world. In recent years, the morbidity of PCa is steadily rising annually in China. Prostate cancer is prone to distant metastasis, and the most significant complication among patients with advanced PCa is bone metastases. Most patients with prostate cancer do not die of the primary tumour, but more due to the factors of distant metastasis of organs, especially bone metastasis. Due to the lack of effective prevention and monitoring of bone metastasis of PCa in clinical settings, and the lack of effective treatment for patients with bone metastasis, the prognosis of patients is often poor. Therefore, early prevention, early detection, and inhibition of bone metastasis are particularly important. At present, many studies have found that exosomes and integrins are closely related to bone metastasis of prostate cancer, but they have not been summarized together. This review summarizes the literature on the effects of exosomes and integrins on bone metastasis of prostate cancer in recent years. It aims to find more effective ways to prevent, monitor, and treat prostate cancer from the relationship between them.

Clinical research analysis based on prostate cancer screening diagnosis.

This study aimed to analyse the clinical characteristics and risk factors of patients with positive prostate biopsy at 4-20 ng/mL of prostate-specific antigen (PSA), construct a new parameter based on this characteristics and assess its diagnostic value for prostate cancer (PCa). Logistic regression analysis was used to clarify the risk factors of PCa, and a new parameter based on the results was constructed. Compare the diagnostic value of various diagnostic parameters for PCa. Logistic multivariate regression analysis revealed that age (OR, 5.269; 95%CI, 2.762-10.050), comorbid diabetes (OR, 2.437; 95%CI, 1.162-5.111), PSA (OR, 2.462; 95%CI, 1.198-5.059) and prostate volume (PV) (OR, 0.227; 95%CI, 0.100-0.516) are risk factors for PCa. The age, PSA and PV of patients were combined to construct a new parameter, that is A-PSAD = (age × total PSA [TPSA])/PV]. The area under the receiver-operating characteristic curve(AUC) of A-PSAD (0.728) for PCa diagnosis was higher than the AUCs of TPSA (0.581), free prostate-specific antigen (0.514), (F/T)PSA (0.535) and PSAD (0.696), with significant differences. Age, history of diabetes, TPSA and PV are risk factors for PCa(PSA:4-20ng/mL); in addition, A-PSAD has a moderate diagnostic value for PCa and may become a new indicator for PCa screening.

The influence of age on prostate cancer screening index.

PURPOSE: This study aimed to identify parameters with a higher diagnostic value for early screening of prostate cancer (PCa) at different ages. MATERIALS AND METHODS: A total of 294 patients were included and divided into two groups according to the age of patients (≤66 and >66 years). Receiver operating characteristic (ROC) curves of total prostate-specific antigen (TPSA), free PSA (FPSA), (F/T)PSA, PSA density (PSAD), PSA-AV score, the ratio of patients' age to prostate volume (AVR) and (F/T)/PSAD were constructed. The area under the ROC curve (AUC) was calculated, and differences in the AUC values among the above-mentioned parameters were compared. RESULTS: There were 121 patients in the ≤66 years age group (benign prostatic hyperplasia BPH, 103 patients; PCa 18 patients) and 173 patients in the >66 years age group (BPH, 100 patients; PCa, 73 patients). In the ≤66 years age group, the AUC value of AVR for PCa diagnosis was the highest; however, there was no statistically significant difference compared with the AUC values of PSAD and (F/T)/PSAD; compared with TPSA, FPSA, (F/T)PSA and PSA-AV, the differences were statistically significant. In the >66 years age group, the AUC values of PSAD and PSA-AV for PCa diagnosis were higher than those of TPSA, FPSA, (F/T)PSA and (F/T)/PSAD, and the difference was statistically significant; however, the difference was not statistically significant when compared with the AUC value of AVR. CONCLUSION: In different age groups, screening indices for PCa diagnosis should be selected according to the age of patients.

Prognostic values of the core components of the mammalian circadian clock in prostate cancer.

BACKGROUND: Prostate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not been fully clarified. METHODS: We firstly collected 605 patients with PC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis was carried out for each CCMCC. Then, we investigated the prognostic ability of CCMCCs by Cox regression analysis. Independent prognostic signatures were extracted for the establishment of the circadian clock-based risk score model. We explored the predictive performance of the risk score model in the TCGA training cohort and the independent GEO dataset. Finally, the relationships between risk score and clinicopathological parameters, biological processes, and signaling pathways were evaluated. RESULTS: The expression levels of CCMCCs were widely correlated with age, tumor status, lymph node status, disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). Nine circadian clock genes, including CSNK1D, BTRC, CLOCK, CSNK1E, FBXL3, PRKAA2, DBP, NR1D2, and RORB, were identified as vital prognostic factors in PC and were used to construct the circadian clock-based risk score model. For DFS, the area under the 3-year or 5-year receiver operating characteristic curves ranged from 0.728 to 0.821, suggesting better predictive performance. When compared with T3-4N1 stage, PC patients at T2N0 stage might be benefited more from the circadian clock-based risk score model. Furthermore, a high circadian clock-based risk score indicated shorter DFS (p < 0.0001), early progression (p < 0.0001), and higher 5-year death rate (p = 0.007) in PC. The risk score was related to tumor status (p < 0.001), lymph node status (p < 0.001), and ribosome-related biogenesis and pathways. CONCLUSIONS: The vital roles of circadian clock genes in clinical outcomes were fully depicted. The circadian clock-based risk score model could reflect and predict the prognosis of patients with PC.

Metformin exerts anti-AR-negative prostate cancer activity via AMPK/autophagy signaling pathway.

BACKGROUND: Encouraged by the goal of developing an effective treatment strategy for prostate cancer, this study explored the mechanism involved in metformin-mediated inhibition of AR-negative prostate cancer. METHODS: Cell behaviors of DU145 and PC3 cells were determined by CCK8 test, colony formation experiment and scratch test. Flow cytometry was used to detect cell cycle distribution. Cell autophagy was induced with metformin, and an autophagy inhibitor, 3-MA, was used to assess the level of autophagy. Detection of LC3B by immunofluorescence was conducted to determine autophagy level. Cell proliferation, autophagy and cell cycle were examined by performing Western blot. DU145 and PC3 cell lines were transfected with AMPK siRNA targeting AMPK-α1 and AMPK-α2. Tumor formation experiment was carried out to evaluate the anti-prostate cancer effect of metformin in vivo. RESULTS: The inhibitory effect of metformin on the proliferation of prostate cancer cell lines was confirmed in this study, and the mechanism of such an effect was related to autophagy and the block of cell cycle at G0/G1 phase. Metformin also induced the activation of AMPK, markedly promoted expression of LC3II, and down-regulated the expression of p62/SQSTM1. Animal experiments showed that the tumor volume of metformin group was smaller, meanwhile, the levels of p-AMPK (Thr172) and LC3B were up-regulated and the Ki-67 level was down-regulated, without abnormalities in biochemical indicators. CONCLUSION: This study found that autophagy induction might be the mechanism through which metformin suppressed the growth of AR-negative prostate cancer. Moreover, the activation of AMPK/autophagy pathway might be a therapeutically effective for treating AR-negative prostate cancer in the future.

Nomograms-based prediction of overall and cancer-specific survivals for patients with chromophobe renal cell carcinoma.

This study built and tested two effective nomograms for the purpose of predicting cancer-specific survival and overall survival of chromophobe renal cell carcinoma (chRCC) patients. Multivariate Cox regression analysis was employed to filter independent prognostic factors predictive of cancer-specific survival and overall survival, and the nomograms were built based on a training set incorporating 2901 chRCC patients in a retrospective study (from 2004 to 2015) downloaded from the surveillance, epidemiology, and end results (SEER) database. The nomograms were verified on a validation cohort of 1934 patients, subsequently the performances of the nomograms were examined according to the receiver operating characteristic curve, calibration curves, the concordance (C-index), and decision curve analysis. The results showed that tumor grade, AJCC and N stages, race, marital status, age, histories of chemotherapy, radiotherapy and surgery were the individual prognostic factors for overall survival, and that AJCC, N and SEER stages, histories of surgery, radiotherapy and chemotherapy, age, tumor grade were individual prognostic factors for cancer-specific survival. According to C-indexes, receiver operating characteristic curves, and decision curve analysis outcomes, the nomograms showed a higher accuracy in predicting overall survival and OSS when compared with TNM stage and SEER stage. All the calibration curves were significantly consistent between predictive and validation sets. In this study, the nomograms, which were validated to be highly accurate and applicable, were built to facilitate individualized predictions of the cancer-specific survival and overall survival to patients diagnosed with chRCC between 2004 and 2015.

The prognostic value and potential mechanism of Matrix Metalloproteinases among Prostate Cancer.

Background: Matrix Metalloproteinases (MMPs) play an indispensable role in the initial alteration and development of PCa. We tried to generate an MMP-related prognostic signature (MMPS) in prostate cancer (PCa). Methods: TCGA-PRAD, MSKCC/GSE21032, GSE116918, GSE70769 cohorts were enrolled to assess the prognostic value of MMPs. The least absolute shrinkage and selection operator (LASSO) Cox regression was employed to generate the MMPS signature. The log-rank test and Kaplan-Meier (K-M) survival curve were applied to show the difference RFS, The receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) was plotted to predict the accuracy of signature. CIBERSORT was conducted to analyze the different immune infiltration in MMPS-H and MMPS-L groups. Potential signaling pathways activated in the MMPS-H groups by Metascape. Results: MMP1, MMP7, MMP11, MMP24 and MMP26 were selected by LASSO regression and established the MMPS predict signature. The MMPS showed the high prognostic value in TCGA-PRAD training cohort (AUC=0.714) and validation cohorts (GSE116918: AUC=0.976, GSE70769: AUC=0.738, MSKCC: AUC=0.793). Pid integrin1 pathway, G2M checkpoint, and response to growth factor signaling pathways were activated in MMPS-H group, patients with the high MMPS risk score and low M2 macrophage showed the worst recurrence-free survival (RFS). Conclusion: MMPs involved and played an essential role in the tumorigenesis and biochemical recurrence in PCa patients. The MMPS signature could accurately predict the recurrence of PCa patients and validated in several cohorts.

The potential role of TNFAIP3 in malignant transformation of gastric carcinoma.

Tumor necrosis factor alpha-induced protein 3 (TNFAIP3), a deubiquitinating enzyme, plays an essential regulatory role in inflammation, immune responses and tumorigenesis. Our present study indicates that TNFAIP3 is required for the ubiquitination degradation of epithelial-mesenchymal transition (EMT) related transcription factors Snail and ZEB1, which further altered the expression of EMT-related marker proteins and eventually contributing to the malignant phenotype and poorer prognosis of gastric carcinoma. Depletion of TNFAIP3 attenuated the capacity of proliferation, migration and invasion of gastric cancer cells in vitro. Taken together, these findings propose a pathway linking the TNFAIP3 to the EMT-mediated metastatic process in gastric cancer, which provides a viable strategy regarding the interventions and prognostic analysis of gastric carcinoma in clinical practice.

Aldehyde Dehydragenase 1 and Nodal as Significant Prognostic Markers in Colorectal Cancer.

This study aimed to analyze prognostic significance of aldehyde dehydragenase 1 (ALDH1) and Nodal expression in patients with colorectal cancer. ALDH1 and Nodal expressions were observed based on the immunohistochemistry staining from 108 colorectal cancer patients. Scores were given to the staining intensity and percentage of positive cells, and sum of two scores for each case was used to define the groups of ALDH1 and Nodal. We also investigated the protein and mRNA levels of ALDH1 and Nodal by Western blot and qRT-PCR assays. The results were analyzed with the clinicopathologic parameters of these patients. The results indicated that expressions of ALDH1 and Nodal were significantly correlated with the differentiation degree, metastasis, number of tumor positive lymph nodes and AJCC stage. ALDH1 was inclined to express more in the worse differentiated degrees, lymph node metastasis, and worse AJCC stage of colorectal cancer patients. And the expression of Nodal was inversely compared with ALDH1.While the expression of ALDH1 was inversely correlated with the Nodal (r = -0.709, P < 0.01).