Non-HIV Immunocompetent Patient with COVID-19 and Severe Pneumocystis jirovecii Pneumonia Co-Infection.

Pneumocystis jirovecii pneumonia is an opportunistic infection that affects HIV-infected and immunocompromised persons and rarely affects immunocompetent patients. However, after the advent of the COVID-19 pandemic, some COVID-19 patients without immunocompromise or HIV were infected with P. jirovecii. Clinical manifestations were atypical, easily misdiagnosed, and rapidly progressive, and the prognosis was poor.

Identification and Validation of SLC9A2 as A Potential Tumor Suppressor in Colorectal Cancer: Integrating Bioinformatics Analysis with Experimental Confirmation.

OBJECTIVE: To uncover the mechanisms underlying the development of colorectal cancer (CRC), we applied bioinformatic analyses to identify key genes and experimentally validated their possible roles in CRC onset and progression. METHODS: We performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis on differentially expressed genes (DEGs), constructed a protein-protein interaction (PPI) network to find the top 10 hub genes, and analyzed their expression in colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ). We also studied the correlation between these genes and immune cell infiltration and prognosis and validated the expression of SLC9A2 in CRC tissues and cell lines using qRT-PCR and Western blotting. Functional experiments were conducted in vitro to investigate the effects of SLC9A2 on tumor growth and metastasis. RESULTS: We found 130 DEGs, with 45 up-regulated and 85 down-regulated in CRC. GO analysis indicated that these DEGs were primarily enriched in functions related to the regulation of cellular pH, zymogen granules, and transmembrane transporter activity. KEGG pathway analysis revealed that the DEGs played pivotal roles in pancreatic secretion, rheumatoid arthritis, and the IL-17 signaling pathway. We identified 10 hub genes: CXCL1, SLC26A3, CXCL2, MMP7, MMP1, SLC9A2, SLC4A4, CLCA1, CLCA4, and ZG16. GO enrichment analysis showed that these hub genes were predominantly involved in the positive regulation of transcription. Gene expression analysis revealed that CXCL1, CXCL2, MMP1, and MMP7 were highly expressed in CRC, whereas CLCA1, CLCA4, SLC4A4, SLC9A2, SLC26A3, and ZG16 were expressed at lower levels. Survival analysis revealed that 5 key genes were significantly associated with the prognosis of CRC. Both mRNA and protein expression levels of SLC9A2 were markedly reduced in CRC tissues and cell lines. Importantly, SLC9A2 overexpression in SW480 cells led to a notable inhibition of cell proliferation, migration, and invasion. Western blotting analysis revealed that the expression levels of phosphorylated ERK (p-ERK) and phosphorylated JNK (p-JNK) proteins were significantly increased, whereas there were no significant changes in the expression levels of ERK and JNK following SLC9A2 overexpression. Correlation analysis indicated a potential link between SLC9A2 expression and the MAPK signaling pathway. CONCLUSION: Our study suggests that SLC9A2 acts as a tumor suppressor through the MAPK pathway and could be a potential target for CRC diagnosis and therapy.

Delayed intestinal perforation associated with peritoneal dialysis: A case report of maintaining dialysis after perforation.

Delayed intestinal perforation has various manifestations. For peritonitis with delayed treatment and multi-bacterial peritonitis, we should be alert to the occurrence of this rare complication. Abdominal CT examination and imaging results judgment based on clinical conditions are particularly important for diagnosis. Delayed intestinal perforation of peritoneal dialysis catheter is a rare but serious complication. We reported a 49-year-old patient who had been hospitalized twice within 3 months due to poor drainage of the peritoneal dialysis catheter. During the first hospitalization, peritoneal dialysis-related peritonitis was diagnosed, and a variety of bacterial infections were cultivated. However, at that time, the actual peritoneal dialysis catheter-related intestinal perforation was missed, and he was discharged after anti-infection treatment until a clinical cure was met. After more than 2 months of normal peritoneal dialysis after returning home, the patient again had poor drainage of the peritoneal dialysis catheter, accompanied by the outflow of yellowish-brown sediment. It was found that the peritoneal dialysis catheter had evidence of intestinal perforation. After the removal of the catheter and intestinal repair, he recovered and was discharged from the hospital and received long-term hemodialysis treatment. In the case of delayed intestinal perforation, peritoneal dialysis was maintained normally for more than 2 months, which was an unprecedented situation in previous case reports. In addition, we should be alert to the occurrence of this rare complication, especially when we find the occurrence of polybacterial Peritonitis. Abdominal CT examination and imaging results judgment based on clinical conditions are particularly important for diagnosis.

Application of five risk stratification tools for syncope in older adults.

OBJECTIVE: Treatment of syncope in older adults places a burden on healthcare systems. We used five risk stratification tools to predict short-term adverse outcomes in older patients with syncope. METHODS: This was a retrospective analysis of patients with syncope (age ≥60 years) in the emergency department of an urban academic hospital. The data were evaluated using the Risk Stratification of Syncope in the Emergency Department (ROSE), San Francisco Syncope Rule (SFSR), FAINT, Canadian Syncope Risk Score (CSRS), and Boston Syncope Criteria (BSC) tools. Sensitivity, specificity, accuracy, positive and negative predictive value (NPV), and positive and negative likelihood ratios of each tool were calculated and compared for adverse events within 1 month. RESULTS: In total, 221 patients (average age 75.6 years) were analyzed. Fifty-nine patients (26.7%) had experienced an adverse event within 1 month. For the ROSE, SFSR, FAINT, CSRS and BSC tools, sensitivities were 81.3%, 76.3%, 93.2%, 71.2%, and 94.9%, specificities were 88.3%, 87.7%, 56.8%, 71.6%, and 67.3%, and NPVs were 92.9%, 91.0%, 95.8%, 87.2%, and 97.3%, respectively. CONCLUSION: The five assessed tools could be useful for physicians in screening older patients with syncope for the risk of short-term adverse events, according to the patient's actual situation.

Predictive nomogram for in-hospital mortality among older patients with intra-abdominal sepsis incorporating skeletal muscle mass.

BACKGROUND: Studies on prognostic factors for older patients with intra-abdominal sepsis are scarce, and the association between skeletal muscle mass and prognosis among such patients remains unclear. AIMS: To develop a nomogram to predict in-hospital mortality among older patients with intra-abdominal sepsis. METHODS: Older patients with intra-abdominal sepsis were prospectively recruited. Their demographics, clinical features, laboratory results, abdominal computed tomography-derived muscle mass, and in-hospital mortality were recorded. The predictors of mortality were selected via least absolute shrinkage and selection operator and multivariable logistic regression analyses, and a nomogram was developed. The nomogram was assessed and compared with Sequential Organ Failure Assessment score, Acute Physiology and Chronic Health Evaluation II score, and Simplified Acute Physiology Score II. RESULTS: In total, 464 patients were included, of whom 104 (22.4%) died. Six independent risk factors (skeletal muscle index, cognitive impairment, frailty, heart rate, red blood cell distribution width, and blood urea nitrogen) were incorporated into the nomogram. The Hosmer-Lemeshow goodness-of-fit test and calibration plot revealed a good consistency between the predicted and observed probabilities. The area under the receiver operating characteristic curve was 0.875 (95% confidence interval = 0.838-0.912), which was significantly higher than those of commonly used scoring systems. The decision curve analysis indicated the nomogram had good predictive performance. DISCUSSION: Our nomogram, which is predictive of in-hospital mortality among older patients with intra-abdominal sepsis, incorporates muscle mass, a factor that warrants consideration by clinicians. The model has a high prognostic ability and might be applied in clinical practice after external validation.

C5a-C5aR1 induces endoplasmic reticulum stress to accelerate vascular calcification via PERK-eIF2α-ATF4-CREB3L1 pathway.

AIMS: Vascular calcification (VC) predicts the morbidity and mortality in cardiovascular diseases. Vascular smooth muscle cells (VSMCs) osteogenic transdifferentiation is the crucial pathological basis for VC. To date, the molecular pathogenesis is still largely unclear. Notably, C5a-C5aR1 contributes to the development of cardiovascular diseases, and its closely related to physiological bone mineralization which is similar to VSMCs osteogenic transdifferentiation. However, the role and underlying mechanisms of C5a-C5aR1 in VC remain unexplored. METHODS AND RESULTS: A cross-sectional clinical study was utilized to examine the association between C5a and VC. Chronic kidney diseases mice and calcifying VSMCs models were established to investigate the effect of C5a-C5aR1 in VC, evaluated by changes in calcium deposition and osteogenic markers. The cross-sectional study identified that high level of C5a was associated with increased risk of VC. C5a dose-responsively accelerated VSMCs osteogenic transdifferentiation accompanying with increased the expression of C5aR1. Meanwhile, the antagonists of C5aR1, PMX 53, reduced calcium deposition, and osteogenic transdifferentiation both in vivo and in vitro. Mechanistically, C5a-C5aR1 induced endoplasmic reticulum (ER) stress and then activated PERK-eIF2α-ATF4 pathway to accelerated VSMCs osteogenic transdifferentiation. In addition, cAMP-response element-binding protein 3-like 1 (CREB3L1) was a key downstream mediator of PERK-eIF2α-ATF4 pathway which accelerated VSMCs osteogenic transdifferentiation by promoting the expression of COL1α1. CONCLUSIONS: High level of C5a was associated with increased risk of VC, and it accelerated VC by activating the receptor C5aR1. PERK-eIF2α-ATF4-CREB3L1 pathway of ER stress was activated by C5a-C5aR1, hence promoting VSMCs osteogenic transdifferentiation. Targeting C5 or C5aR1 may be an appealing therapeutic target for VC.

Exosomal miRNA-200b-3p regulated autogenous arteriovenous fistula thrombosis in maintenance hemodialysis patients.

BACKGROUND: Autogenous arteriovenous fistula (AVF) is the best vascular hemodialysis access for terminal chronic renal failure patients but is prone to thrombosis. Pathogenic mechanisms of AVF thrombus are thus largely explored. As exosomes carry genetic content from cell of origin. We hypothesized that miRNAs in serum exosomes are promising regulators of AVF thrombosis. METHODS: Serum exosomes were isolated from maintenance hemodialysis (MHD) patient, miRNAs profile of the exosomes was obtained by high throughput sequencing, six miRNAs (miR-144-5p, miR-18a-5p, miR-200a-3p, miR-200b-3p, miR-141-3p, and miR-429) were determined as candidates examined by RT-PCR, cells transfected with miR-200b-3p mimics demonstrated significantly increased mRNA levels of VEGF and Ang-II, the relationship between miR-200b-3p and VEGF or Ang-II was performed by adual luciferase reporter assay. RESULTS: There are 43 miRNA down-regulation and 15 miRNA up-regulation between MHD group and MHD+Thrombus group, the expression levels of miR-200b-3p and miR-429 in MHD with thrombus were significantly increased (p < 0.001, p < 0.05). Inhibited miR-200b-3p expression level can increase VEGF mRNA and protein expression levels and decrease Ang-II mRNA and protein expression levels. Furthermore, we also identified that miR-200b-3p targets VEGF and Ang-II. CONCLUSION: Our study indicates that serum exosome-derived miR-200b-3p regulate VEGF and Ang-II to increase intimal hyperplasia to induce AVF thrombosis. Besides miR-200b-3p, miR-200 family may also play a regulatory role in AVF thrombosis.

DNMBP-AS1 Regulates NHLRC3 Expression by Sponging miR-93-5p/17-5p to Inhibit Colon Cancer Progression.

Long non-coding RNAs (LncRNAs) act as competing endogenous RNAs (ceRNAs) in colon cancer (CC) progression, via binding microRNAs (miRNAs) to regulate the expression of corresponding messenger RNAs (mRNAs). This article aims to explore the detailed molecular mechanism of ceRNA in CC. Top mad 5000 lncRNAs and top mad 5000 mRNAs were used to perform weighted gene co-expression network analysis (WGCNA), and key modules were selected. We used 405 lncRNAs in the red module and 145 mRNAs in the purple module to build the original ceRNA network by online databases. The original ceRNA network included 50 target lncRNAs, 41 target miRNAs, and 34 target mRNAs. Fifty target lncRNAs were used to establish a prognostic risk model by univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. LncRNAs in the risk model were used to build the secondary ceRNA network, which contained 9 lncRNAs in the risk model, 35 miRNAs, and 29 mRNAs. Survival analyses of 29 mRNAs in the secondary ceRNA network have shown HOXA10 and NHLRC3 were identified as crucial prognostic factors. Finally, we constructed the last ceRNA network including 5 lncRNAs in the risk model, 8 miRNAs, and 2 mRNAs related to prognosis. Quantitative real-time polymerase chain reaction (qRT-PCR) results revealed that DNMBP-AS1 and FAM87A were down-regulated in CC cells and tissues. Function assays showed that over-expression of DNMBP-AS1 and FAM87A inhibited CC cells proliferation and migration. Mechanism study showed that DNMBP-AS1 served as miR-93-5p/17-5p sponges and relieved the suppression effect of miR-93-5p/17-5p on their target NHLRC3. Our study suggested that DNMBP-AS1 inhibited the progression of colon cancer through the miR-93-5p/17-5p/NHLRC3 axis, which could be potential therapeutic targets for CC.

Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement.

Background: Turnover of medical staff is a vital issue in the global healthcare system. Previous evidence has confirmed the critical effect of distributive justice on turnover intention, but few studies have focused on the mediating mechanism behind this relationship or the medical staff. This study aimed to examine the mediating roles of organizational commitment and work engagement in the relationship between distributive justice and turnover intention of medical staff, and explore potential occupational differences. Methods: Stratified random sampling was adopted to select qualified medical staff from each clinical department of a large general hospital in Shenzhen, China, at a physician-to-nurse ratio of 1:1.5. The medical staff were surveyed using the Distributive Justice Scale, the Organizational Commitment Scale, the Work Engagement Scale, and the Turnover Intention Scale from May to July 2020. Of the 500 medical staff sampled, 480 responded (response rate: 96.00%), and 457 were finally included for analysis (effective response rate: 95.21%). A mediation analysis was performed using Model 6 of the SPSS macro PROCESS program. Results: There were significant positive correlations among distributive justice, organizational commitment, and work engagement and significant negative correlations among distributive justice, organizational commitment, work engagement, and turnover intention. Distributive justice directly and negatively affected the turnover intention of physicians and nurses, but there were occupational differences in the underlying mechanism between distributive justice and turnover intention. Distributive justice indirectly affected turnover intention among physicians mainly through the mediating effect of organizational commitment, and indirectly among nurses through three different pathways: the mediating effect of organizational commitment, the mediating effect of work engagement, and the chain mediating effect of organizational commitment and work engagement. Conclusion: The relationship between distributive justice and turnover intention was found to be mediated by organizational commitment and work engagement among medical staff in Shenzhen, with variations between physicians and nurses. Thus, appropriately targeted interventions are needed for physicians and nurses to reduce turnover intention.

Bioinformatics Analysis and Identification of Potential Genes Associated with Pathogenesis and Prognosis of Gastric Cancer.

OBJECTIVE: Gastric cancer (GC) is a deadly cancer and a challenging public health problem globally. This study aimed to analyze potential genes associated with pathogenesis and prognosis of gastric cancer. METHODS: This work selected the overlapping differentially expressed genes (DEGs) in GC from four datasets, the GSE29272, GSE29998, GSE54129 and GSE118916 Gene Expression Omnibus databases. These DEGs were used to carry out comprehensive bioinformatic analysis to analyze the related functions and pathways enriched, the relative expression levels and immune infiltrates, the prognostic characteristics and the interaction network. RESULTS: In total, 55 DEGs increased while 98 decreased in their expression levels. For those DEGs with increased expression, they were mostly concentrated on "focal adhesion" and "ECM-receptor interaction", whereas DEGs with decreased expression were mostly associated with "gastric acid secretion" and "drug metabolism cytochrome P450". MCODE and ClueGO results were then integrated to screen 10 hub genes, which were FN1, COL1A1, COL3A1, BGN, TIMP1, COL1A2, LUM, VCAN, COL5A2 and SPP1. Survival analysis revealed that higher expression of the ten hub genes significantly predicted lower overall survival of GC patients. TIMP1 was most significantly related to neutrophils, CD8+ T cells, as well as dendritic cells, while LUM was most significantly related to macrophages. CONCLUSION: Immunohistochemistry results and functional testing showed that the expression of COL5A2 was elevated in GC and that it might be a key gene in GC tumorigenesis.

Overexpression of eRF3a Promotes Cell Proliferation and Migration in Liver Cancer.

OBJECTIVE: The eukaryotic release factor 3a (eRF3a), a member of the eukaryotic peptide chain release factor family, is overexpressed in several types of cancer. This study aims to investigate the biological role and mechanism of eRF3a in the progression of liver cancer. METHODS: Western blotting and RT-qPCR were used to detect the expression level of eRF3a in normal liver cells and liver cancer cells. The cell transfection experiments were performed to overexpress eRF3a levels in liver cancer cells HCCLM9 and Huh7, and then cell cycle and apoptosis experiments, Cell Counting Kit-8 (CCK8), plate cloning, and Transwell experiments were done to evaluate the function of eRF3a in the progression of liver cancer. The Western blotting was done to explore the mechanism of eRF3a promoting the development of liver cancer. Western blotting and RT-qPCR were used to detect the expression level of eRF3a in normal liver cells and liver cancer cells. The cell transfection experiments were performed to overexpress eRF3a levels in liver cancer cells HCCLM9 and Huh7, and then cell cycle and apoptosis experiments, Cell Counting Kit-8 (CCK8), plate cloning, and Transwell experiments were done to evaluate the function of eRF3a in the progression of liver cancer. The Western blotting was done to explore the mechanism of eRF3a promoting the development of liver cancer. RESULTS: eRF3a was significantly highly expressed in liver cancer cells, and its expression level was negatively correlated with the clinical prognosis of patients. In addition, in vitro experiments showed that eRF3a could promote the proliferation and migration of liver cancer cells through the ERK and JNK signaling pathways. CONCLUSION: This study suggests that eRF3a may be a potential prognostic marker for liver cancer and act as an oncogene by activating JNK and ERK signaling; therefore, eRF3a may be a new target for the treatment of liver cancer.

Identification of Prognostic Genes for Colon Cancer through Gene Co-expression Network Analysis.

OBJECTIVE: The present study was aimed to identify novel key genes, prognostic biomarkers and molecular pathways implicated in tumorigenesis of colon cancer. METHODS: The microarray data GSE41328 containing 10 colon cancer samples and 10 adjacent normal tissues was analyzed to identify 4763 differentially expressed genes. Meanwhile, another microarray data GSE17536 was performed for weighted gene co-expression network analysis (WGCNA). RESULTS: In present study, 12 co-expressed gene modules associated with tumor progression were identified for further studies. The red module showed the highest association with pathological stage by Pearson's correlation analysis. Functional enrichment analysis revealed that genes in red module focused on cell division, cell proliferation, cell cycle and metabolic related pathway. Then, a total of 26 key hub genes were identified, and GEPIA database was subsequently selected for validation. Holliday junction-recognizing protein (HJURP) and cell division cycle 25 homolog C (CDC25C) were identified as effective prognosis biomarkers, which were all detrimental to prognosis. Gene set enrichment analyses (GSEA) found the two hub genes were enriched in "oocyte meiosis", "oocyte maturation that are progesterone-mediated", "p53 signaling pathway", and "cell cycle". Furthermore, the immunohistochemistry and western blotting showed that HJURP was highly expressed in colon cancer tissue. CONCLUSION: HJURP was identified as a key gene associated with colon cancer progression and prognosis by WGCNA, which might influence the prognosis by regulating cell cycle pathways.

Weighted gene co-expression network analysis of the association between upregulated AMD1, EN1 and VGLL1 and the progression and poor prognosis of breast cancer.

Breast cancer is the most prevalent malignancy among females, but the molecular mechanisms involved in its pathogenesis and progression have remained to be fully elucidated. The aim of the present study was to identify novel potential therapeutic targets for breast cancer. The dataset GSE76275 was downloaded from the Gene Expression Omnibus database and weighted gene co-expression network analysis (WGCNA) was performed to identify hub genes. Furthermore, the dataset GSE25055, containing gene expression data and clinical information, was downloaded to validate the expression and survival association of these hub genes. In addition, the datasets GSE25065 and GSE42568 were used to validate the association between hub gene expression levels and clinical features. Immunohistochemistry (IHC), reverse transcription-quantitative PCR, as well as proliferation, migration, invasion and apoptosis assays, were used to verify gene expression and function. A total of 4,052 genes were selected for WGCNA and 18 modules were established; the red module was identified as the key module, as it had a strong positive correlation with the tumor grade. Survival analyses of hub genes [S-adenosylmethionine decarboxylase proenzyme (AMD1), homeobox protein engrailed-1 (EN1) and vestigial-like protein (VGLL1)] indicated that higher levels of gene expression were associated with poor prognosis of patients with breast cancer. This association was based on survival analysis of GSE25055 using the Kaplan-Meier plotter tool. Expression validation revealed that the upregulation of hub genes was associated with advanced tumor grade and malignant molecular subtype (basal-like). IHC results from the Human Protein Atlas also demonstrated that protein expression levels of the hub genes were higher in tumor tissues compared with those in adjacent normal tissues. Furthermore, the expression levels of AMD1, EN1 and VGLL1 were strongly correlated with each other. These results demonstrated that AMD1 is highly expressed in breast cancer tissues and cells and AMD1 knockdown decreased the proliferation and metastatic potential, while increasing apoptosis of breast cancer cells. These results suggested that AMD1, EN1 and VGLL1 are likely to contribute to breast cancer progression and unfavorable prognosis.

Histopathological assessment of radial artery calcification in patients with end-stage kidney disease.

BACKGROUND: A comprehensive understanding of vascular calcification pathology is significant for the development of cardiovascular disease therapy in high-risk populations. This cross-sectional study aimed to evaluate the prevalence and characteristics of radial artery calcification (RAC) and to identify the factors that are associated with RAC in end-stage kidney disease (ESKD). METHODS: Detailed medical histories of 180 patients with ESKD were recorded. Fragments of the radial artery obtained during the creation of arteriovenous fistula for hemodialysis access were stained with alizarin red S. RESULTS: Calcification was localized in the arterial media layer. The prevalence of positive calcification staining in the radial arteries was 21.1% (n = 38). Patients with RAC had a higher glycated hemoglobin level (p < 0.01), higher prevalence of dialysis duration >5 years (p = 0.022), and diabetes mellitus (p < 0.01) than those without RAC. Multiple logistic regression models showed dialysis duration >5 years (odds ratio [OR], 9.864; 95% confidence interval [CI], 2.666-36.502; p < 0.01) and diabetes mellitus (OR, 12.689; 95% CI, 2.796-34.597; p < 0.01) were independent risk factors for RAC in patients with ESKD. Patients with dialysis duration >5 years had a higher prevalence of RAC (p = 0.012) than those with dialysis duration ≤5 years. Patients with diabetes mellitus had a higher prevalence of RAC (p < 0.01) than those without diabetes mellitus. Patients with diabetes mellitus ≥15 years had a higher prevalence of RAC (p = 0.042) than those with diabetes mellitus <15 years. Radial artery calcification level showed a significantly positive correlation with dialysis duration (p < 0.05), diabetes mellitus duration (p < 0.01), HbA1c level (p < 0.01) and Calcium level (p < 0.01). CONCLUSIONS: In patients with ESKD, dialysis duration >5 years and diabetes predict RAC. Thus, the combination of prolonged dialysis and hyperglycemic conditions exerts a synergistic effect on RAC.

The miR-370/UQCRC2 axis facilitates tumorigenesis by regulating epithelial-mesenchymal transition in Gastric Cancer.

Ubiquinol-cytochrome c reductase core protein 2 (UQCRC2) is an important mitochondrial complex III subunit. This study investigated the role of UQCRC2 in gastric cancer (GC) and its upstream regulatory microRNAs (miRNAs). UQCRC2 expression levels were lower in GC tissues than non-carcinoma tissues. Furthermore, UQCRC2 levels were negatively correlated with lymph node metastasis, relapse, and tumor grade. Bioinformatics analysis predicted UQCRC2 as the target gene for miR-370, and this was verified in luciferase reporter assays. MiR-370 levels were inversely correlated with UQCRC2 levels in GC. UQCRC2 overexpression suppressed GC cell migration and invasion in vitro and in vivo, whereas up-regulating miR-370 reversed these effects. Western blotting analysis showed that miR-370 targeted UQCRC2 and positively regulated the epithelial-mesenchymal transition (EMT) signaling pathway in GC cells. Therefore, the miR-370/UQCRC2 axis may regulate EMT signaling pathways to affect tumor proliferation and metastasis and is, thus, a potential target for GC treatment.

Expression of Stanniocalcin 2 in Breast Cancer and Its Clinical Significance.

This study aims to explore the expression of stanniocalcin 2 (STC2) gene in breast cancer and its clinical significance. Female patients with breast cancer from Zhongnan Hospital of Wuhan University admitted during March 2014 to October 2014 were enrolled in this study. All the tissues used in this experiment included 50 cases of breast cancer tissues and corresponding 50 cases of paracancer normal breast tissues with complete patients' information. The real-time quantitative polymerase chain reaction (qPCR) was applied to detect the expression of STC2 gene in 50 cases of breast cancer and paracancer normal breast tissues. The results showed that the expression level of STC2 gene in 50 cases of breast cancer tissues was significantly higher than that in paracancer normal breast tissues (P<0.001). The expression of STC2 gene was correlated with lymph node metastasis, distant metastasis, TNM stage and histological grade (P<0.001). The expression level of STC2 gene was significantly higher in breast cancer tissues with higher expression of Ki-67 (P<0.001). The expression level of STC2 gene was significantly higher in estrogen receptor (ER) positive breast cancer tissues than in ER negative ones (P<0.001). However, different groups of age, pathological type, tumor size, PR expression and human epidermal growth factor receptor-2 (HER2) expression did not show significant differences in STC2 expression (P>0.05). In conclusion, the abnormal overexpression of STC2 gene may play a role in the development and progression of breast cancer, and it can be used as an independent metastasis and prognostic factor of breast cancer. In addition, STC2 gene probably promotes the development and metastasis of breast cancer by interacting with estrogen and ER, and it may become a new direction for breast cancer endocrine therapy.

Tumor necrosis factor receptor-associated factor (TRAF) 6 inhibition mitigates the pro-inflammatory roles and proliferation of rheumatoid arthritis fibroblast-like synoviocytes.

BACKGROUND: Rheumatoid arthritis (RA) fibroblast-like synoviocytes (FLSs) play a crucial role in RA through producing inflammatory cytokines and proteases which could cause cartilage destruction. We showed previously that elevated expression of tumor necrosis factor receptor-associated factor 6 (TRAF6) in RA synovium correlated significantly with the severity of synovitis and the number of infiltrated inflammatory cells. The aims of this study are to detect the roles of TRAF6 in RA-FLSs. METHODS: Synovium were collected by closed needle biopsy from inflamed knees of active RA patients, and FLSs were isolated by modified tissue culture method. Expression of TRAF6 and CD55 in RA synivium was tested by double immunofluorescence (IF) staining. TRAF6 in RA-FLSs was inhibited using Lentiviral-TRAF6-shRNA transfection. Real-time PCR and ELISA were used to detect the mRNA expression and secretion of matrix metalloproteinase (MMP) and pro-inflammatory cytokines. Cell Counting Kit-8 was used to detect cell proliferation, flow cytometry was used to detect cell cycle, and Annexin V assay was used to detect cell apoptosis. RESULTS: We showed that in the intimal and subintimal area of RA synovium, TRAF6 was expressed obviously not only in CD55+ cells, but also in some other CD55- cells. TRAF6 expression in RA-FLSs was suppressed effectively by Lentiviral-TRAF6-shRNA transfection. Inhibition of TRAF6 in RA-FLSs mitigated the mRNA levels and secretion of pro-inflammatory cytokines and MMPs, such as IL-1ß, IL-8, IL-6, TNF-α, MMP-13, and MMP-3. In addition, it decreased the proliferation of RA-FLSs, blocked RA-FLSs in G0/G1-phase, and inhibited the cells to go into S-phase and G2/M-phase, but not facilitated apoptosis of RA-FLSs. CONCLUSION: TRAF6 plays direct roles in the pro-inflammatory effects and proliferation of RA-FLSs. TRAF6 may serve as a potential treatment target in RA.

Urinary Biomarkers at the Time of AKI Diagnosis as Predictors of Progression of AKI among Patients with Acute Cardiorenal Syndrome.

BACKGROUND AND OBJECTIVES: A major challenge in early treatment of acute cardiorenal syndrome (CRS) is the lack of predictors for progression of AKI. We aim to investigate the utility of urinary angiotensinogen and other renal injury biomarkers in predicting AKI progression in CRS. DESIGN, SETTINGS, PARTICIPANTS, & MEASUREMENTS: In this prospective, multicenter study, we screened 732 adults who admitted for acute decompensated heart failure from September 2011 to December 2014, and evaluated whether renal injury biomarkers measured at time of AKI diagnosis can predict worsening of AKI. In 213 patients who developed Kidney Disease Improving Global Outcomes stage 1 or 2 AKI, six renal injury biomarkers, including urinary angiotensinogen (uAGT), urinary neutrophil gelatinase-associated lipocalin (uNGAL), plasma neutrophil gelatinase-associated lipocalin, urinary IL-18 (uIL-18), urinary kidney injury molecule-1, and urinary albumin-to-creatinine ratio, were measured at time of AKI diagnosis. The primary outcome was AKI progression defined by worsening of AKI stage (50 patients). The secondary outcome was AKI progression with subsequent death (18 patients). RESULTS: After multivariable adjustment, the highest tertile of three urinary biomarkers remained associated with AKI progression compared with the lowest tertile: uAGT (odds ratio [OR], 10.8; 95% confidence interval [95% CI], 3.4 to 34.7), uNGAL (OR, 4.7; 95% CI, 1.7 to 13.4), and uIL-18 (OR, 3.6; 95% CI, 1.4 to 9.5). uAGT was the best predictor for both primary and secondary outcomes with area under the receiver operating curve of 0.78 and 0.85. These three biomarkers improved risk reclassification compared with the clinical model alone, with uAGT performing the best (category-free net reclassification improvement for primary and secondary outcomes of 0.76 [95% CI, 0.46 to 1.06] and 0.93 [95% CI, 0.50 to 1.36]; P<0.001). Excellent performance of uAGT was further confirmed with bootstrap internal validation. CONCLUSIONS: uAGT, uNGAL, and uIL-18 measured at time of AKI diagnosis improved risk stratification and identified CRS patients at highest risk of adverse outcomes.

Urinary Angiotensinogen Level Predicts AKI in Acute Decompensated Heart Failure: A Prospective, Two-Stage Study.

A major challenge in prevention and early treatment of acute cardiorenal syndrome (CRS) is the lack of high-performance predictors. To test the hypothesis that urinary angiotensinogen (uAGT) is an early predictor for acute CRS and 1-year prognosis in patients with acute decompensated heart failure (ADHF), we performed a prospective, two-stage, multicenter cohort study in patients with ADHF. In stage I (test set), 317 patients were recruited from four centers. In stage II (validation set), 119 patients were enrolled from two other centers. Daily uAGT levels were analyzed consecutively. AKI was defined according to Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guidelines. In stage I, 104 (32.8%) patients developed AKI during hospitalization. Daily uAGT peaked on the first hospital day in patients who subsequently developed AKI. After multivariable adjustment, the highest quartile of uAGT on admission was associated with a 50-fold increased risk of AKI compared with the lowest quartile. For predicting AKI, uAGT (area under the receiver-operating characteristic curve [AUC]=0.84) outperformed urinary neutrophil gelatinase-associated lipocalin (AUC=0.78), the urinary albumin/creatinine ratio (AUC=0.71), and the clinical model (AUC=0.77). Survivors in stage I were followed prospectively for 1 year after hospital discharge. The uAGT level independently predicted the risk of 1-year mortality (adjusted odds ratio, 4.5; 95% confidence interval, 2.1 to 9.5) and rehospitalization (adjusted odds ratio, 3.6; 95% confidence interval, 1.6 to 5.7). The ability of uAGT in predicting AKI was validated in stage II (AUC=0.79). In conclusion, uAGT is a strong predictor for acute CRS and 1-year prognosis in ADHF.

Do not resuscitate orders for patients with intracerebral hemorrhage: experience from a Chinese tertiary care center.

AIM: This study aimed to determine the frequency and determinant factors of do not resuscitate (DNR) orders in patients with intracerebral hemorrhage (ICH) at a university hospital in China. METHODS: Data collected from June 2010 to December 2012 for patients with ICH were retrospectively reviewed. The characteristics and care of patients with and without DNR orders and those with early (≤24 h) and late (>24 h) DNR establishment were compared. RESULTS: Formal DNR orders were filed during hospitalization for 64/759 (8.4%) patients with complete medical records enrolled in this study. Patients with DNR orders were older on average (73.1 ± 10.1 vs. 56.0 ± 13.2 years; p < 0.001) and a larger proportion had pre-ICH comorbidity impacting dependency (87.5 vs. 17.0%; p < 0.001) than did those with no DNR order. Patients with DNR orders were in worse clinical condition on arrival than those without a DNR order, as judged by Glasgow Coma Scale scores, and more frequently had large hematoma volumes (78.1 vs. 39.7%; p < 0.001). CONCLUSIONS: DNR orders were not used commonly for patients with ICH in this Chinese sample. No relationship between ICH severity and DNR decision making was observed.