Heat shock protein family A member 8 is a prognostic marker for bladder cancer: Evidences based on experiments and machine learning.

Heat shock protein member 8 (HSPA8) is one of the most abundant chaperones in eukaryotic cells, but its biological roles in bladder cancer (BC) are largely unclear. First, we observed that HSPA8 was abundant in both cell lines and tissues of BC, and the HSPA8-high group had poorer T stages and overall survival (OS) than the HSPA8-low group in the TCGA patients. Next, when we knocked down HSPA8 in BC cells, the growth and migration abilities were significantly decreased, the apoptosis rates were significantly increased, and the Ki67 fluorescence intensity was decreased in BC cells. Moreover, caspase 3 was significantly decreased with overexpression of HSPA8 in BC cells. After that, a machine learning prognostic model was created based on the expression of HSPA8 by applying LASSO Cox regression in TCGA and GEO patients. The model indicated that the low-risk (LR) group with BC had better tumour stages, lymphovascular invasion, and OS than the high-risk (HR) group. Additionally, the risk score was demonstrated to be an independent risk factor for the prognosis of BC by univariate and multivariate Cox analyses. Moreover, the HR group showed a greater rate of TP53 mutations and was mostly enriched in the ECM-receptor interaction pathway than the LR group. Importantly, lower CD8+ T-cell and NK cell infiltration, higher immune exclusion scores, higher expression of PD-L1 and CTLA4 and poorer immune checkpoint therapy effects were found in the HR group. These findings demonstrated how crucial HSPA8 plays a role in determining the prognosis of bladder cancer.

A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study.

BACKGROUND: Uterine sarcoma (US) is a rare malignant uterine tumor with aggressive behavior and rapid progression. The purpose of this study was to constructa comprehensive nomogram to predict cancer-specific survival (CSS) of patients with US-based on the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: A retrospective population-based study was conducted using data from patients with US between 2010 and 2015 from the SEER database. They were randomly divided into a training cohort and a validation cohort ata 7-to-3 ratio. Multivariate Cox analysis was performed to identify independent prognostic factors. Subsequently, a nomogram was established to predict patient CSS. The discrimination and calibration of the nomogram were evaluated by the concordance index (C-index) and the area under the curve (AUC). Finally, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the benefits of the new prediction model. RESULTS: A total of 3861 patients with US were included in our study. As revealed in multivariate Cox analysis, age at diagnosis, race, marital status, insurance record, tumor size, pathology grade, histological type, SEER stage, AJCC stage, surgery status, radiotherapy status, and chemotherapy status were found to be independent prognostic factors. In our nomogram, pathology grade had strongest correlation with CSS, followed by age at diagnosis and surgery status. Compared to the AJCC staging system, the new nomogram showed better predictive discrimination with a higher C-index in the training and validation cohorts (0.796 and 0.767 vs. 0.706 and 0.713, respectively). Furthermore, the AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system. CONCLUSION: Our study validated the first comprehensive nomogram for US, which could provide more accurate and individualized survival predictions for US patients in clinical practice.

Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space.

Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic. However, the effect of these individual NPI measures across space and time has yet to be sufficiently assessed, especially with the increase of policy fatigue and the urge for NPI relaxation in the vaccination era. Using the decay ratio in the suppression of COVID-19 infections and multi-source big data, we investigated the changing performance of different NPIs across waves from global and regional levels (in 133 countries) to national and subnational (in the United States of America [USA]) scales before the implementation of mass vaccination. The synergistic effectiveness of all NPIs for reducing COVID-19 infections declined along waves, from 95.4% in the first wave to 56.0% in the third wave recently at the global level and similarly from 83.3% to 58.7% at the USA national level, while it had fluctuating performance across waves on regional and subnational scales. Regardless of geographical scale, gathering restrictions and facial coverings played significant roles in epidemic mitigation before the vaccine rollout. Our findings have important implications for continued tailoring and implementation of NPI strategies, together with vaccination, to mitigate future COVID-19 waves, caused by new variants, and other emerging respiratory infectious diseases.

Intravenously injected lidocaine or magnesium improves the quality of early recovery after laparoscopic cholecystectomy: A randomised controlled trial.

BACKGROUND: Previous data show that lidocaine or magnesium has unique characteristics of stress inhibition and antiinflammation. OBJECTIVE: We aimed to observe the effects of lidocaine or magnesium on the quality of recovery (QoR) after laparoscopic cholecystectomy. DESIGN: Single-centre, prospective, randomised, double-blind study. SETTING: The Affiliated Hospital of Xuzhou Medical University from March 2019 to October 2019. PATIENTS: One hundred and fourteen patients scheduled for laparoscopic cholecystectomy. INTERVENTION: The enrolled patients were randomly divided into three groups. Lidocaine (group L), magnesium sulphate (group M) or 0.9% saline (group C) was administered intravenously 10 min before induction. MAIN OUTCOME MEASURES: The quality of recovery 15 (QoR-15) score, the Hospital Anxiety and Depression Scale (HADS), and the Numerical Rating Scale (NRS) score were selected. The usage of propofol and remifentanil, haemodynamic parameters, anaesthesia recovery parameters and adverse events were also evaluated. RESULTS: The QoR-15 scores for group L (132.0) and group M (134.0) were 6 and 8 points higher than that of group C (126.0) on POD1 (postoperative day 1) (adjP < 0.05). However, the decrease of QoR-15 in Group L is less than the minimal clinically important difference (8).The NRS scores on POD1 in group C 3, were higher than other two groups (adjP < 0.05). The dosage of remifentanil in group L was lower than other two groups (adjP < 0.05).The physical independence of group L and group M and physical comfort of group M were improved compared with group C. CONCLUSION: The results show that magnesium sulphate improved the QoR through improving physical comfort and physical independence in patients after laparoscopic cholecystectomy. However, lidocaine had limited effects on QoR under current conditions. TRIAL REGISTRATION: ChiCTR1800019092 (www.chictr.org.cn). CLINICAL TRIAL NUMBER AND REGISTRY URL: The study was registered in the Chinese Clinical Trials Register (ChiCTR1800019092) https://www.chictr.org.cn.

Crocin Alleviates Pain Hyperalgesia in AIA Rats by Inhibiting the Spinal Wnt5a/ß-Catenin Signaling Pathway and Glial Activation.

At present, most of the drugs have little effect on the pathological process of rheumatoid arthritis (RA). Analgesia is an important measure in the treatment of RA and is also one of the criteria to determine the therapeutic effects of the disease. Some studies have found that crocin, a kind of Chinese medicine, can effectively alleviate pain sensitization in pain model rats, but the mechanism is not clear. Emerging evidence indicates that crocin may inhibit the metastasis of lung and liver cancer cells from the breast by inhibiting Wnt/ß-catenin and the Wnt signaling pathway is closely related to RA. Wnt5a belongs to the Wnt protein family and was previously thought to be involved only in nonclassical Wnt signaling pathways. Recent studies have shown that Wnt5a has both stimulatory and inhibitory effects on the classical Wnt signaling pathway, and so, Wnt5a has attracted increasing attention. This study demonstrated that crocin significantly increased the mechanical thresholds of adjuvant-induced arthritis (AIA) rats, suggesting that crocin can alleviate neuropathic pain. Crocin significantly decreased the levels of pain-related factors and glial activation. Foxy5, activator of Wnt5a, inhibited the above effects of crocin in AIA rats. In addition, intrathecal injection of a Wnt5a inhibitor significantly decreased hyperalgesia in AIA rats. This research shows that crocin may alleviate neuropathic pain in AIA rats by inhibiting the expression of pain-related molecules through the Wnt5a/ß-catenin pathway, elucidating the mechanism by which crocin relieves neuropathic pain and provides a new way of thinking for the treatment of AIA pain.

Methyl chanofruticosinate type alkaloids from the aerial parts of Kopsia lancibracteolata Merr.

A chemical investigation on the 70% ethanol extract from the leaves and stems of Kopsia lancibracteolata Merr. resulted in the isolation of three new methyl chanofruticosinate type alkaloids, 12-hydroxyl prunifoline A (1), 12-hydroxyl prunifoline C (2), and N(4)-oxide prunifoline D (3). Structural elucidation of all the compounds was performed by spectral methods such as 1D- and 2D-NMR, IR, UV, and HR-ESI-MS. The isolated alkaloids were tested in vitro for cytotoxic potential against five tumor cell lines (BGC-823, HepG2, MCF-7, SGC-7901, and SK-MEL-2). As a result, alkaloid 3 exhibited significant cytotoxic activity against all tested tumor cell lines with IC50 values from 7.2 to 8.9 µM.

Cytotoxic ring A-seco triterpenoids from the stem bark of Dysoxylum lukii.

A chemical investigation of the 70% ethanol extract from the stem bark of Dysoxylum lukii afforded three new ring A-seco triterpenoids, dysoxylukiines A-C (1-3). Their structures were elucidated on the basis of extensive 1D and 2D NMR (COSY, HMQC, HMBC, and NOESY) analyses. The isolated compounds were evaluated in vitro for cytotoxic properties. Consequently, compound 3 exhibited modest cytotoxic activities against four osteosarcoma cell lines (SOSP-9607, MG-63, Saos-2, and M663) with IC50 values less than 10 µM.

Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data.

The estimation of disease prevalence in online search engine data (e.g., Google Flu Trends (GFT)) has received a considerable amount of scholarly and public attention in recent years. While the utility of search engine data for disease surveillance has been demonstrated, the scientific community still seeks ways to identify and reduce biases that are embedded in search engine data. The primary goal of this study is to explore new ways of improving the accuracy of disease prevalence estimations by combining traditional disease data with search engine data. A novel method, Biased Sentinel Hospital-based Area Disease Estimation (B-SHADE), is introduced to reduce search engine data bias from a geographical perspective. To monitor search trends on Hand, Foot and Mouth Disease (HFMD) in Guangdong Province, China, we tested our approach by selecting 11 keywords from the Baidu index platform, a Chinese big data analyst similar to GFT. The correlation between the number of real cases and the composite index was 0.8. After decomposing the composite index at the city level, we found that only 10 cities presented a correlation of close to 0.8 or higher. These cities were found to be more stable with respect to search volume, and they were selected as sample cities in order to estimate the search volume of the entire province. After the estimation, the correlation improved from 0.8 to 0.864. After fitting the revised search volume with historical cases, the mean absolute error was 11.19% lower than it was when the original search volume and historical cases were combined. To our knowledge, this is the first study to reduce search engine data bias levels through the use of rigorous spatial sampling strategies.

Hematodinium spp. infections in wild and cultured populations of marine crustaceans along the coast of China.

The parasitic dinoflagellate Hematodinium spp. infects a broad range of marine crustaceans. Its epidemics have impacted wild populations of various commercial fishery species around the world and the sustainability of mariculture in China. To study the epidemiology of Hematodinium spp. in marine crustaceans along the coast of China, we conducted a broad survey of wild and cultured stocks of major crustacean species in 2013 to 2015. Hematodinium sp. infections were identified in wild stocks of Portunus trituberculatus from Huludao, Laizhou, Qingdao, Yangtze River Estuary and Zhoushan, and Scylla paramamosain from Shantou; and cultured stocks of Portunus trituberculatus and Penaeus monodon from a polyculture pond in Qingdao. In the polyculture pond, Hematodinium sp. infections were observed in Portunus trituberculatus from June until October, with peak prevalence (up to 90%) observed in late July to early August. Furthermore, Hematodinium sp. infection was identified for the first time in the giant tiger prawn Penaeus monodon in the polyculture system during the disease outbreak. Phylogenetic analysis indicated that the Hematodinium isolate infecting Penaeus monodon was identical to the isolate infecting the co-cultured Portunus trituberculatus, and it was grouped into H. perezi genotype II together with the other isolates reported in China. The Hematodinium sp. isolated from Portunus trituberculatus appeared to have similar life stages as the H. perezi genotype III isolated from the American blue crab Callinectes sapidus. Our study indicates that outbreaks of Hematodinium disease can be a significant threat to the widely used polyculture system for decapods in China that may be particularly vulnerable to such generalist pathogens.

[Preparation and release mechanism of tectorigenin intragastric floating sustained-release tablets].

To investigate the preparation technology and release mechanism of tectorigenin intragastric floating sustained-release tablets. The tablet was produced by wet granulation compression method, with hydroxypropyl methyl cellulose (HPMCK15M), cross-linked polyvinyl pyrrolidone (PVPP), octadecanol and sodium bicarbonate as excipient. The prescriptions were screened and optimized by orthogonal experimental design with in vitro floating capacity and drug release characteristics as the evaluation indexes. The optimization results were as follows: tectorigenin 33.3%, HPMCK15M 16.7%, PVPP 20.0%, octadecanol 13.3%, sodium bicarbonate 5%, and starch gel 10.7%. The prepared tablet can be floated within 10 s in the artificial gastric juice, lasting for 12 h in vitro, with a cumulative release rate of 70% in 10 h. The analysis of Rritger-Peppas equation showed that the sustained-release tablet had two advantages of both drug diffusion and skeleton dissolution. The tablet had good appearance and compressibility, as well as favorable floating capacity and drug release characteristics.

[Identification of Metoprolol Tartrate Tablets from Different Manufacturers by Different Near Infrared Spectrometers].

To rapidly identify Metoprolol Tartrate tablets from different manufacturers, a qualitative analysis model can be established by near infrared spectroscopy. Firstly, AntarisII Fourier-transform near infrared (FT-NIR) spectroscopy and Micro NIR1700 Spectrometer were used to collect spectral data of 66 batches of samples which come from four different manufacturers, then 44 samples of calibration set and 22 samples of validation set were acquired by random sampling. In order to build up a PLS-DA model, the first derivative with Savitzky-Golay 15 points smoothing (1d+SG15) and standard normal vitiate transformation (SNV) was selected as the pretreatment method and according to the variation between different samples and the characteristic absorption band, 6 468-7 104 cm(-1) and 6 468-7 156 cm(-1) were chosen as the modeling spectra region. The confusion matrix indicated that Metoprolol Tartrate tablets could be rapidly and effectively identified by two analytical models, which were established using the spectral data collected from two instruments. For these two models, both of the sensitivity and specificity were 100%. This study confirmed that it is feasible to carry out the manufacturer identification of Metoprolol Tartrate tablets by near infrared spectroscopy. Besides, the use of Micro NIR1700 Spectrometer, which is the minimum and portable near infrared spectrometer, provides valuable insights for fast on-site drug screening.

Using an autologistic regression model to identify spatial risk factors and spatial risk patterns of hand, foot and mouth disease (HFMD) in Mainland China.

BACKGROUND: There have been large-scale outbreaks of hand, foot and mouth disease (HFMD) in Mainland China over the last decade. These events varied greatly across the country. It is necessary to identify the spatial risk factors and spatial distribution patterns of HFMD for public health control and prevention. Climate risk factors associated with HFMD occurrence have been recognized. However, few studies discussed the socio-economic determinants of HFMD risk at a space scale. METHODS: HFMD records in Mainland China in May 2008 were collected. Both climate and socio-economic factors were selected as potential risk exposures of HFMD. Odds ratio (OR) was used to identify the spatial risk factors. A spatial autologistic regression model was employed to get OR values of each exposures and model the spatial distribution patterns of HFMD risk. RESULTS: Results showed that both climate and socio-economic variables were spatial risk factors for HFMD transmission in Mainland China. The statistically significant risk factors are monthly average precipitation (OR = 1.4354), monthly average temperature (OR = 1.379), monthly average wind speed (OR = 1.186), the number of industrial enterprises above designated size (OR = 17.699), the population density (OR = 1.953), and the proportion of student population (OR = 1.286). The spatial autologistic regression model has a good goodness of fit (ROC = 0.817) and prediction accuracy (Correct ratio = 78.45%) of HFMD occurrence. The autologistic regression model also reduces the contribution of the residual term in the ordinary logistic regression model significantly, from 17.25 to 1.25 for the odds ratio. Based on the prediction results of the spatial model, we obtained a map of the probability of HFMD occurrence that shows the spatial distribution pattern and local epidemic risk over Mainland China. CONCLUSIONS: The autologistic regression model was used to identify spatial risk factors and model spatial risk patterns of HFMD. HFMD occurrences were found to be spatially heterogeneous over the Mainland China, which is related to both the climate and socio-economic variables. The combination of socio-economic and climate exposures can explain the HFMD occurrences more comprehensively and objectively than those with only climate exposures. The modeled probability of HFMD occurrence at the county level reveals not only the spatial trends, but also the local details of epidemic risk, even in the regions where there were no HFMD case records.

Spatial patterns of the congenital heart disease prevalence among 0- to 14-year-old children in Sichuan Basin, P. R China, from 2004 to 2009.

BACKGROUND: Congenital heart disease (CHD) is the most common type of major birth defects in Sichuan, the most populous province in China. The detailed etiology of CHD is unknown but some environmental factors are suspected as the cause of this disease. However, the geographical variations in CHD prevalence would be highly valuable in providing a clue on the role of the environment in CHD etiology. Here, we investigate the spatial patterns and geographic differences in CHD prevalence among 0- to 14-year-old children, discuss the possible environmental risk factors that might be associated with CHD prevalence in Sichuan Basin from 2004 to 2009. METHODS: The hierarchical Bayesian model was used to estimate CHD prevalence at the township level. Spatial autocorrelation statistics were performed, and a hot-spot analysis with different distance thresholds was used to identify the spatial pattern of CHD prevalence. Distribution and clustering maps were drawn using geographic information system tools. RESULTS: CHD prevalence was significantly clustered in Sichuan Basin in different spatial scale. Typical hot/cold clusters were identified, and possible CHD causes were discussed. The association between selected hypothetical environmental factors of maternal exposure and CHD prevalence was evaluated. CONCLUSIONS: The largest hot-spot clustering phenomena and the CHD prevalence clustering trend among 0- to 14-year-old children in the study area showed a plausibly close similarity with those observed in the Tuojiang River Basin. The high ecological risk of heavy metal(Cd, As, and Pb)sediments in the middle and lower streams of the Tuojiang River watershed and ammonia-nitrogen pollution may have contribution to the high prevalence of CHD in this area.

[Intraventricular injection of 5,7-dihydroxytryptamine alters neuronal activity of neurons in the medial prefrontal cortex of rat].

The present study is aimed to investigated the firing activity of pyramidal neurons and interneurons in the medial prefrontal cortex (mPFC) in rats with bilateral intraventricular injection of 5,7-dihydroxytryptamine (5,7-DHT) by using in vivo extracellular recording. The results showed that the injection of 5,7-DHT reduced the 5-hydroxytryptamine (5-HT) levels in the mPFC and dorsal raphe nucleus in the rats. The firing rate of mPFC pyramidal neurons in rats with 5,7-DHT injection was significantly higher than that of normal rats, and the firing pattern of these neurons also changed significantly towards a more burst-firing, while the injection decreased the firing rate of mPFC interneurons and changed the firing pattern of the interneurons towards a more irregular. These results indicate that the lesions of the serotonergic neurons lead to the changes in the firing activity of mPFC pyramidal neurons and interneurons, suggesting that serotonergic system plays an important role in the regulation of the neuronal activity in the mPFC.

[In vitro anti-tumor effect of human dendritic cells vaccine induced by astragalus polysacharin: an experimental study].

OBJECTIVE: To explore the in vitro anti-tumor effect and mechanism of dendritic cell (DC) tumor vaccine induced by astragalus polysacharin (APS). METHODS: Peripheral blood mononuclear cells (PBMCs) isolated from human peripheral blood. DCs obtained from human peripheral blood were cultivated and added with culture solution for in vitro inducing them to immature DCs. On the 5th day of culture, 100 microg/mL (as the final concentration) APS was added to cells in the APS group. DCs were induced to mature in the cytokine groups by adding 20 ng/mL rhTNF-alpha (as the final concentration). Changes of morphology and phenotype of DCs were observed. Mature DCs were sensitized with tumor antigen SGC-7901 and co-cultured with allogeneic T cells. The proliferative function of T lymphocytes was detected by MTT assay. Levels of IL-12 and IFN-gamma in co-cultured supernatant were detected by ELISA. Cytotoxic lymphocytes (CTL) activated by DC were co-cultured with tumor cell SGC-7901. The specific killing capacity of CTL to target cells was detected by LDH release assay. RESULTS: The morphological observation and phenotypic identification of APS induced DCs were in accordance with the characteristics of mature DCs. APS induced mature DCs could stimulate the proliferation of allogeneic T lymphocytes. The proliferation index of T cells increased with increased ratio of stimulator cells to effector cells (P < 0.05). Levels of IL-12 and IFN-gamma in co-culture supernatant significantly increased in a time-dependent manner (P < 0.05). CTL cells activated by sensitization of DCs could significantly kill tumor cells, and the killing effect increased along with increased effector-to-target ratio. CONCLUSION: APS could in vitro induce DCs to mature, promote its antigen-presenting capacity, effectively activate CTLs, and enhance anti-tumor function of the organism.

Absolutely nondestructive discrimination of Huoshan Dendrobium nobile species with miniature near-infrared (NIR) spectrometer engine.

As one very precious traditional Chinese medicine (TCM), Huoshan Dendrobium has not only high price, but also significant pharmaceutical efficacy. However, different species of Huoshan Dendrobium exhibit considerable difference in pharmaceutical efficacy, so rapid and absolutely non-destructive discrimination of Huoshan Dendrobium nobile according to different species is crucial to quality control and pharmaceutical effect. In this study, as one type of miniature near-infrared (NIR) spectrometer, MicroNIR 1700 was used for absolutely nondestructive determination of NIR spectra of 90 batches of Dendrobium from five species of differ- ent commodity grades. The samples were intact and not smashed. Soft independent modeling of class analogy (SIMCA) pattern recognition based on principal component analysis (PCA) was used to classify and recognize different species of Dendrobium samples. The results indicated that the SIMCA qualitative models established with pretreatment method of standard normal variate transformation (SNV) in the spectra range selected by Qs method had 100% recognition rates and 100% rejection rates. This study demonstrated that a rapid and absolutely non-destructive analytical technique based on MicroNIR 1700 spectrometer was developed for successful discrimination of five different species of Huoshan Dendrobium with acceptable accuracy.

Clinicopathological characteristics and prognosis of uterine sarcoma: a 10-year retrospective single-center study in China.

BACKGROUND: Uterine sarcoma is a rare and heterogeneous gynecological malignancy characterized by aggressive progression and poor prognosis. The current study aimed to investigate the relationship between clinicopathological characteristics and the prognosis of uterine sarcoma in Chinese patients. METHODS: In this single-center retrospective study, we reviewed the medical records of 75 patients with histologically verified uterine sarcoma treated at the First Affiliated Hospital of Xi'an Jiaotong University between 2011 and 2020. Information on clinical characteristics, treatments, pathology and survival was collected. Progression-free survival (PFS) and overall survival (OS) were visualized in Kaplan-Meier curves. Prognostic factors were identified using the log-rank test for univariate analysis and Cox-proportional hazards regression models for multivariate analysis. RESULTS: The histopathological types included 36 endometrial stromal sarcomas (ESS,48%), 33 leiomyosarcomas (LMS,44%) and 6 adenosarcomas (8%). The mean age at diagnosis was 50.2 ± 10.7 years. Stage I and low-grade accounted for the majority. There were 26 recurrences and 25 deaths at the last follow-up. The mean PFS and OS were 89.41 (95% CI: 76.07-102.75) and 94.03 (95% CI: 81.67-106.38) months, respectively. Univariate analysis showed that > 50 years, post-menopause, advanced stage, ≥ 1/2 myometrial invasion, lymphovascular space invasion and high grade were associated with shorter survival (P < 0.05). Color Doppler flow imaging positive signals were associated with shorter PFS in the LMS group (P = 0.046). The ESS group had longer PFS than that of the LMS group (99.56 vs. 76.05 months, P = 0.043). The multivariate analysis showed that post-menopause and advanced stage were independent risk factors of both PFS and OS in the total cohort and LMS group. In the ESS group, diagnosis age > 50 years and high-grade were independent risk factors of PFS, while high-grade and lymphovascular space invasion were independent risk factors of OS. CONCLUSION: In Chinese patients with uterine sarcoma, post-menopause and advanced stage were associated with a significantly poorer prognosis. The prognosis of ESS was better than that of LMS. Color Doppler flow imaging positive signals of the tumor helped to identify LMS, which needs to be further tested in a larger sample in the future.

JAM3: A prognostic biomarker for bladder cancer via epithelial­mesenchymal transition regulation

Understanding the intricate relationship between prognosis, immune function, and molecular markers in bladder cancer (BC) demands sophisticated analytical methods. To identify novel biomarkers for predicting prognosis and immune function in BC patients, we combined weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression analysis. This was conducted using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Ultimately, we screened the junctional adhesion molecule 3 (JAM3) as an independent risk factor in BC. High levels of JAM3 were linked to adverse clinical parameters, such as higher T and N stages. Additionally, a JAM3-based nomogram model accurately predicted 1-, 3- and 5-year survival rates of BC patients, indicating potential clinical utility. Functional enrichment analysis revealed that high JAM3 expression activated the calcium signaling pathway, the extracellular matrix (ECM)-receptor interaction, and the PI3K-Akt signaling pathway, and was positively correlated with genes associated with epithelial­mesenchymal transition (EMT). Subsequently, we found that overexpression of JAM3 promoted the migration and invasion abilities in BC cells, regulating the expression levels of N-Cadherin, matrix metallopeptidase 2 (MMP2), and Claudin-1 thereby promoting EMT levels. Additionally, we showed that JAM3 was negatively correlated with anti-tumor immune cells such as CD8+T cells, while positively correlated with pro-tumor immune cells such as M2 macrophages, suggesting its involvement in immune cell infiltration. The immune checkpoint CD200 also showed a positive correlation with JAM3. Our findings revealed that elevated JAM3 levels are predictive of poor prognosis and immune cell infiltration in BC patients by regulating the EMT process.

Model-driven development of covariances for spatiotemporal environmental health assessment.

Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attributes, account for multi-sourced knowledge bases (health models, survey data, empirical relationships etc.), and generate more accurate predictions across space-time. Based on a versatile, knowledge synthesis methodological framework, we introduce new space-time covariance functions built by integrating epidemic propagation models and we apply them in the analysis of existing flu datasets. Within the knowledge synthesis framework, the Bayesian maximum entropy theory is our method of choice for the spatiotemporal prediction of the ratio of new infectives (RNI) for a case study of flu in France. The space-time analysis is based on observations during a period of 15 weeks in 1998-1999. We present general features of the proposed covariance functions, and use these functions to explore the composite space-time RNI dependency. We then implement the findings to generate sufficiently detailed and informative maps of the RNI patterns across space and time. The predicted distributions of RNI suggest substantive relationships in accordance with the typical physiographic and climatologic features of the country.

Prevalence of sarcopenic obesity in patients with diabetes and adverse outcomes: A systematic review and meta-analysis.

BACKGROUND & AIMS: Sarcopenic obesity (SO), which refers to the coexistence of sarcopenia and obesity. The aim of this systematic review and meta-analysis was first to assess the prevalence of SO in patients with diabetes, and second, to evaluate possible adverse outcomes. METHODS: This study was conducted in adherence to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines and the data were collated by means of meta-analysis and narrative synthesis. We comprehensively and systematically searched PubMed, Embase, Web of Science, CBM, CNKI, Wanfang Database from the establishment of the database to December 2022, and collected related studies on SO in patients with diabetes. Using Stata 16.0 software to pool the estimates for the prevalence of SO in patients with diabetes, and a descriptive systematic review of possible adverse outcomes was performed. RESULTS: The prevalence of 20 included studies were pooled by a random-effects model, which showed that the prevalence of SO in patients with diabetes was 27%. Subgroup analyses showed that the prevalence of SO was higher among studies using BIA (24%) to assess muscle mass, and those focused on literature of moderate-quality (29%), being published from 2013 to 2016 (29%), female patients with diabetes (17%), North Americans (30%). SO in patients with diabetes can lead to adverse outcomes including decreased glomerular filtration rate, massive proteinuria, cognitive decline, and insulin resistance. CONCLUSION: The systematic review and meta-analysis revealed a prevalence of 27% for SO in patients with diabetes, and it is associated with potential serious adverse outcomes. Therefore, we should attach importance to the screening of SO in patients with diabetes and early detection of susceptible groups, then selecting appropriate interventions to reduce the occurrence of it and various adverse outcomes in this demographic.