SilenceREIN: seeking silencers on anchors of chromatin loops by deep graph neural networks.

Silencers are repressive cis-regulatory elements that play crucial roles in transcriptional regulation. Experimental methods for identifying silencers are always costly and time-consuming. Computational methods, which relies on genomic sequence features, have been introduced as alternative approaches. However, silencers do not have significant epigenomic signature. Therefore, we explore a new way to computationally identify silencers, by incorporating chromatin structural information. We propose the SilenceREIN method, which focuses on finding silencers on anchors of chromatin loops. By using graph neural networks, we extracted chromatin structural information from a regulatory element interaction network. SilenceREIN integrated the chromatin structural information with linear genomic signatures to find silencers. The predictive performance of SilenceREIN is comparable or better than other states-of-the-art methods. We performed a genome-wide scanning to systematically find silencers in human genome. Results suggest that silencers are widespread on anchors of chromatin loops. In addition, enrichment analysis of transcription factor binding motif support our prediction results. As far as we can tell, this is the first attempt to incorporate chromatin structural information in finding silencers. All datasets and source codes of SilenceREIN have been deposited in a GitHub repository (https://github.com/JianHPan/SilenceREIN).

Esketamine inhibits the c-Jun N-terminal kinase pathway in the spinal dorsal horn to relieve bone cancer pain in rats.

Cancer-induced bone pain (CIBP) is one of the most common and feared symptoms in patients with advanced tumors. The X-C motif chemokine ligand 12 (CXCL12) and the CXCR4 receptor have been associated with glial cell activation in bone cancer pain. Moreover, mitogen-activated protein kinases (MAPKs), as downstream CXCL12/CXCR4 signals, and c-Jun, as activator protein AP-1 components, contribute to the development of various types of pain. However, the specific CIBP mechanisms remain unknown. Esketamine is a non-selective N-methyl-d-aspartic acid receptor (NMDA) inhibitor commonly used as an analgesic in the clinic, but its analgesic mechanism in bone cancer pain remains unclear. We used a tumor cell implantation (TCI) model and explored that CXCL12/CXCR4, p-MAPKs, and p-c-Jun were stably up-regulated in the spinal cord. Immunofluorescence images showed activated microglia in the spinal cord on day 14 after TCI and co-expression of CXCL12/CXCR4, p-MAPKs (p-JNK, p-ERK, p-p38 MAPK), and p-c-Jun in microglia. Intrathecal injection of the CXCR4 inhibitor AMD3100 reduced JNK and c-Jun phosphorylations, and intrathecal injection of the JNK inhibitor SP600125 and esketamine also alleviated TCI-induced pain and reduced the expression of p-JNK and p-c-Jun in microglia. Overall, our data suggest that the CXCL12/CXCR4-JNK-c-Jun signaling pathway of microglia in the spinal cord mediates neuronal sensitization and pain hypersensitivity in cancer-induced bone pain and that esketamine exerts its analgesic effect by inhibiting the JNK-c-Jun pathway.

An automatic analysis and quality assurance method for lymphocyte subset identification.

OBJECTIVES: Lymphocyte subsets are the predictors of disease diagnosis, treatment, and prognosis. Determination of lymphocyte subsets is usually carried out by flow cytometry. Despite recent advances in flow cytometry analysis, most flow cytometry data can be challenging with manual gating, which is labor-intensive, time-consuming, and error-prone. This study aimed to develop an automated method to identify lymphocyte subsets. METHODS: We propose a knowledge-driven combined with data-driven method which can gate automatically to achieve subset identification. To improve accuracy and stability, we have implemented a Loop Adjustment Gating to optimize the gating result of the lymphocyte population. Furthermore, we have incorporated an anomaly detection mechanism to issue warnings for samples that might not have been successfully analyzed, ensuring the quality of the results. RESULTS: The evaluation showed a 99.2 % correlation between our method results and manual analysis with a dataset of 2,000 individual cases from lymphocyte subset assays. Our proposed method attained 97.7 % accuracy for all cases and 100 % for the high-confidence cases. With our automated method, 99.1 % of manual labor can be saved when reviewing only the low-confidence cases, while the average turnaround time required is only 29 s, reducing by 83.7 %. CONCLUSIONS: Our proposed method can achieve high accuracy in flow cytometry data from lymphocyte subset assays. Additionally, it can save manual labor and reduce the turnaround time, making it have the potential for application in the laboratory.

Mining biomarkers from routine laboratory tests in clinical records associated with air pollution health risk assessment.

Clinical laboratory in hospital can produce amounts of health data every day. The purpose of this study was to mine biomarkers from clinical laboratory big data associated with the air pollution health risk assessment using clinical records. 13, 045, 629 clinical records of all 27 routine laboratory tests in Changsha Central Hospital, including ALB, TBIL, ALT, DBIL, AST, TP, UREA, UA, CREA, GLU, CK, CKMB, LDL-C, TG, TC, HDL-C, CRP, WBC, Na, K, Ca, Cl, APTT, PT, FIB, TT, RBC and those daily air pollutants concentration monitoring data of Changsha, including PM2.5, PM10, SO2, NO2, CO, and O3 from 2014 to 2016, were retrieved. The moving average method was used to the biological reference interval was established. The tests results were converted into daily abnormal rate. After data cleaning, GAM statistical model construction and data analysis, a concentration-response relationship between air pollutants and daily abnormal rate of routine laboratory tests was observed. Our study found that PM2.5 had a stable association with TP (lag07), ALB (lag07), ALT (lag07), AST (lag07), TBIL (lag07), DBIL (lag07), UREA (lag07), CREA (lag07), UA (lag07), CK (lag 06), GLU (lag07), WBC (lag07), Cl (lag07) and Ca (lag07), (P < 0.05); O3 had a stable association with AST (lag01), CKMB (lag06), TG (lag07), TC (lag05), HDL-C (lag07), K (lag05) and RBC (lag07) (P < 0.05); CO had a stable association with UREA (lag07), Na (lag7) and PT (lag07) (P < 0.05); SO2 had a stable association with TP (lag07) and LDL-C (lag0) (P < 0.05); NO2 had a stable association with APTT (lag7) (P < 0.05). These results showed that different air pollutants affected different routine laboratory tests and presented different pedigrees. Therefore, biomarkers mined from routine laboratory tests may potentially be used to low-cost assess the health risks associated with air pollutants.

Cold Atmospheric Plasma Jet Irradiation Decreases the Survival and the Expression of Oncogenic miRNAs of Oral Carcinoma Cells.

Despite recent advancements, therapies against advanced oral squamous cell carcinoma (OSCC) remain ineffective, resulting in unsatisfactory therapeutic outcomes. Cold atmospheric plasma (CAP) offers a promising approach in the treatment of malignant neoplasms. Although the effects of CAP in abrogating OSCC have been explored, the exact mechanisms driving CAP-induced cancer cell death and the changes in microRNA (miRNA) expression are not fully understood. We fabricated and calibrated an argon-CAP device to explore the effects of CAP irradiation on the growth and expression of oncogenic miRNAs in OSCC. The analysis revealed that, in OSCC cell lines following CAP irradiation, there was a significant reduction in viability; a downregulation of miR-21, miR-31, miR-134, miR-146a, and miR-211 expression; and an inactivation of the v-akt murine thymoma viral oncogene homolog (AKT) and extracellular signal-regulated kinase (ERK) signals. Pretreatment with blockers of apoptosis, autophagy, and ferroptosis synergistically reduced CAP-induced cell death, indicating a combined induction of variable death pathways via CAP. Combined treatments using death inhibitors and miRNA mimics, alongside the activation of AKT and ERK following the exogenous expression, counteracted the cell mortality associated with CAP. The CAP-induced downregulation of miR-21, miR-31, miR-187, and miR-211 expression was rescued through survival signaling. Additionally, CAP irradiation notably inhibited the growth of SAS OSCC cell xenografts on nude mice. The reduced expression of oncogenic miRNAs in vivo aligned with in vitro findings. In conclusion, our study provides new lines of evidence demonstrating that CAP irradiation diminishes OSCC cell viability by abrogating survival signals and oncogenic miRNA expression.

A novel HNRNPH1::ERG rearrangement in aggressive acute myeloid leukemia.

FUS::ERG rearrangement is a recurrent abnormality seen in a subgroup of acute myeloid leukemia (AML) with a poor prognosis. We described here a novel HNRNPH1::ERG rearrangement in a de novo AML. The patient was unresponsive to routine chemotherapy and succumbed to the disease just 3 months after diagnosis. Two additional cases of AML with HNRNPH1::ERG rearrangement were discovered by searching a publicly available sequencing database. The three patients share several clinical phenotypes with the FUS::ERG rearranged AML, including high blast count at diagnosis, pediatric or young adult-onset, and poor overall survival. In addition, hnRNPH1 and FUS are both hnRNP family members, a group of RNA-binding proteins functioning in RNA metabolism and transport. Therefore, we suggest that patients with HNRNPH1::ERG or FUS::ERG rearrangement belong to the same distinct clinicopathologic subtype of AML, that is, AML with ERG rearrangement. Based on a previous study showing that FUS::ERG binds to the retinoic acid-responsive elements and that all-trans retinoic acid-induced cell differentiation of AML cells, we support the clinical evaluation of an APL-like therapeutic regimen for AML with ERG rearrangement.

Overexpression of VPS11 antagonizes the promoting effect of miR-542-3p on Mycobacterium tuberculosis survival in macrophages by regulating autophagy.

Impaired autophagy is an important cause of Mycobacterium tuberculosis survival in macrophages. VPS11 is an important regulator of autophagy; decreased VPS11 expression has been observed in macrophages after tuberculosis (TB) infection. Gene ontology data revealed that various miRNAs (for example, miR-542-3p) were upregulated in macrophages upon TB infection; thus, these miRNAs were likely to reduce VPS11 expression. In this study, both TB patients and healthy subjects were enrolled, and the levels of VPS11 and some miRNAs in their blood macrophages were measured. Moreover, various macrophages were cultured and infected with M. tuberculosis. Luciferase reporter, RNA pulldown, and RNA immunoprecipitation assays were performed to determine the regulatory effect of miR-542-3p on VPS11 expression. Results showed that VPS11 expression was downregulated, whereas miR-542-3p expression was upregulated in blood macrophages after TB infection. TB infection reduced VPS11 levels in two human macrophages in vitro, but not in mouse macrophages. This might be because the seed sequence exists in the VPS11 3' untranslated region in humans, but is absent in mice and rats. miR-542-3p promoted M. tuberculosis survival in human macrophages, but VPS11 overexpression antagonized the promoting effect of miR-542-3p. Further, VPS11 was confirmed as a target of miR-542-3p. Overexpression of VPS11 or depletion of miR-542-3p promoted autophagy, which was suppressed upon TB infection. In summary, VPS11 overexpression antagonized the promoting effect of miR-542-3p on M. tuberculosis survival in macrophages by regulating autophagy.

Rapidly Progressive, Fata Infection Caused by Bacillus Cereus in a Patient with Acute Lymphoblastic Leukemia.

BACKGROUND: We herein report a fatal case of fulminant septicemia caused by Bacillus cereus in a 49-year-old female with T-cell acute lymphoblastic leukemia receiving chemotherapy. METHODS: Her two blood culture sets were positive for Gram-positive, rod-shaped bacterium. Bacillus cereus was identified by high-throughput MALDI-TOF mass spectrometry and 16S ribosomal RNA gene sequencing. RESULTS: The patient died within 12 hours from the onset of B cereus infection. CONCLUSIONS: Patients with acute leukemia presented with fever and unexplained multiple organ lesions, especially accompanied by CNS symptoms, should alert to the possibility of Bacillus cereus infection.

Re-expression of microRNA-150 induces EBV-positive Burkitt lymphoma differentiation by modulating c-Myb in vitro.

Burkitt lymphoma (BL) is a highly aggressive B-cell lymphoma that includes two forms of BL differing in Epstein-Barr virus (EBV) infection status, EBV-positive and EBV-negative. Although many efforts, such as high-intensity, short-duration combination chemotherapy, have been devoted to improving therapy for this rapidly proliferating neoplasm, there are still significant treatment-associated toxicities. Therefore, there remains a need for novel effective therapeutic strategies. MicroRNAs play a role in "fine tuning" the physiological and pathological differentiation process, by which cells can rapidly regulate dynamic events such as cell-lineage decisions and morphogenesis. This unique miRNA feature shifts the traditional one drug target paradigm to a novel one drug multiple targets paradigm. Here, we found that BL cell lines showed an extremely low expression of microRNA-150 (miR-150), and then restored miR-150 expression at physiologic levels in BL cell lines Daudi, Raji, BJAB, and Ramos. The results showed that re-expression of miR-150 reduced proliferation of Daudi and Raji cells. Furthermore, Daudi and Raji, both of which are of EBV-positive germinal center B-cell origin, transduced with miR-150 can be rescued to differentiate toward B-cell terminal stage. However, no significant changes were observed in BJAB or Ramos cells, which are of EBV-negative germinal center B-cell origin. Of note, re-expression of miR-150 also resulted in decreasing c-Myb protein levels. Additionally, c-Myb knockdown in Daudi and Raji cell lines recapitulated the partial characteristics similar to that caused by re-expression of miR-150. Taken together, our findings show that miR-150 can induce EBV-positive BL differentiation by targeting c-Myb.

Identifying autophagy-related genes as potential targets for immunotherapy in tuberculosis.

PURPOSE: Identifying of host-directed targets and molecular markers of immune response for tuberculosis (TB) immunotherapy is urgent and meaningful. Previous studies have demonstrated an important role of autophagy in the course and pathophysiology of TB and is associated with the efficacy of TB treatment. However, its role in TB immunotherapy is still incomplete. METHODS: The effect of autophagy on intracellular bacteria load was examined in sulforaphane (SFN)-treated THP-1 cells. The immune infiltration was assessed based on public databases. Functional enrichment analysis revealed the pathways involved. LASSO Cox regression analysis was employed to identify hub genes. Moreover, machine learning analysis was used to obtain important targets of TB immunotherapy. Finally, the relationship between hub genes and immune infiltration was assessed, as well as the relevance of chemokines. RESULTS: We found that SFN reduced intracellular bacteria load by enhancing autophagy in THP-1 cells. Thirty-two autophagy-related genes (ARGs) were identified, three types of immune cells (macrophages, neutrophils, and DC cells) were significantly enriched in TB patients, and 6 hub genes (RAB5A, SQSTM1, MYC, MAPK8, MAPK3, and FOXO1) were closely related to TB immune infiltration. The 32 ARGs were mainly involved in autophagy, apoptosis, and tuberculosis pathways. FOXO1, SQSTM1, and RAB5A were identified as important target genes according to the ranking of variable importance, with FOXO1 being a potential autophagy-related target of TB immunotherapy. CONCLUSION: This study highlights the association between autophagy-related genes and immune infiltration in TB. Three key genes, especially FOXO1, regulated by SFN, will provide new insights into diagnostic and immunotherapy strategies for clinical tuberculosis.

Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms.

Background: Next-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laboratory to investigate mutation landscapes in Chinese patients with MBNs and to combine mutational information and machine learning (ML) into clinical applications for MBNs, especially for subtype classification. Methods: Samples from the Catalogue Of Somatic Mutations In Cancer (COSMIC) database were collected for ML model construction and cases from our laboratory were used for ML model validation. Five repeats of 10-fold cross-validation Random Forest algorithm was used for ML model construction. Mutation detection was performed by NGS and tumor cell size was confirmed by cell morphology and/or flow cytometry in our laboratory. Results: Totally 849 newly diagnosed MBN cases from our laboratory were retrospectively identified and included in mutational landscape analyses. Patterns of gene mutations in a variety of MBN subtypes were found, important to investigate tumorigenesis in MBNs. A long list of novel mutations was revealed, valuable to both functional studies and clinical applications. By combining gene mutation information revealed by NGS and ML, we established ML models that provide valuable information for MBN subtype classification. In total, 8895 cases of 8 subtypes of MBNs in the COSMIC database were collected and utilized for ML model construction, and the models were validated on the 849 MBN cases from our laboratory. A series of ML models was constructed in this study, and the most efficient model, with an accuracy of 0.87, was based on integration of NGS testing and tumor cell sizes. Conclusions: The ML models were of great significance in the differential diagnosis of all cases and different MBN subtypes. Additionally, using NGS results to assist in subtype classification of MBNs by method of ML has positive clinical potential.

Accuracy of the InnowaveDX MTB/RIF test for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre study.

Early and accurate diagnosis of tuberculosis (TB) is necessary to initiate proper therapy for the benefit of the patients and to prevent disease transmission in the community. In this study, we developed the InnowaveDX MTB/RIF (InnowaveDX) to detect Mycobacterium tuberculosis (MTB) and rifampicin resistance simultaneously. A prospective multicentre study was conducted to evaluate the diagnostic performance of InnowaveDX for the detection MTB in sputum samples as compared with Xpert and culture. The calculated limit of detection (LOD) for InnowaveDX was 9.6 CFU/ml for TB detection and 374.9 CFU/ml for RIF susceptibility. None of the other bacteria tested produced signals that fulfilled the positive TB criteria, demonstrating a species-specificity of InnowaveDX. Then 951 individuals were enrolled at 7 hospitals, of which 607 were definite TB cases with positive culture and/or Xpert results, including 354 smear-positive and 253 smear-negative cases. InnowaveDX sensitivity was 92.7% versus bacteriologically TB standard. Further follow-up revealed that 61 (91.0%) out of 67 false-positive patients with no bacteriological evidence met the criteria of clinically diagnosed TB. Among 125 RIF-resistant TB patients diagnosed by Xpert, 108 cases were correctly identified by InnowaveDX, yielding a sensitivity of 86.4%. Additionally, the proportion of very low bacterial load in the discordant susceptibility group was significantly higher than in the concordant susceptibility group (P = 0.029). To conclude, we have developed a novel molecular diagnostic with promising detection capabilities of TB and RIF susceptibility. In addition, the discordant RIF susceptibility results between InnowaveDX and Xpert are more frequently observed in samples with very low bacterial load.

Molecular Dynamics Investigation of Spreading Performance of Physiological Saline on Surface.

Physiological saline is an indispensable element for maintaining the functions of life. The spreading performance of physiological saline droplets on the surface of graphene under different NaCl concentrations and electric field intensities was studied in the present work. The results show that the increase in NaCl concentration reduces the displacement vector value of molecules in droplets. In addition, NaCl is easy to aggregate on the surface of graphene. The increase in NaCl concentration makes it more difficult for droplets to penetrate the surface of graphene, and the penetration angle of droplets increases with the rise in NaCl concentration. With the increase in electric field intensity, the wetting effect of droplets is more obvious. The greater the electric field intensity is, the smaller the penetration angle is, which is mainly due to the polarity of water molecules. This study has reference significance for the study of body fluid volatilization on the human surface.

Significance of lncRNA CDKN2B-AS1 in Interventional Therapy of Liver Cancer and the Mechanism under Its Participation in Tumour Cell Growth via miR-199a-5p.

Methods: Totally 34 LC patients admitted to our hospital between January 2020 and March 2021 (Obs group) and 32 healthy individuals over the same time span (Con group) were enrolled. CDKN2B-AS1 and miR-199a-5p in the two groups were PCR quantified, and their association and value for the diagnosis and therapy of LC were analyzed. In addition, purchased LC cells were adopted for in vitro assays, and the influences of CDKN2B-AS1 and miR-199a-5p on biological behaviours of LC cells were assessed through CCK-8, Transwell, and flow cytometry experiment, and their regulatory association was verified by the dual luciferase reporter (DLR) assay and rescue assay. And the autophagic protein expression was tested by the western blot to confirm the effect of both on the autophagic capacity of LC cells. Results: CDKN2B-AS1 in LC cases presented high expression and dropped after therapy (P < 0.05), and the opposite situation of miR-199a-5p was found in the LC cases (P < 0.05). In vitro assays, after silencing of CDKN2B-AS1 and upregulation of miR-199a-5p, LC cells presented weaker viability, invasion and migration activities, and stronger apoptotic activity (all P < 0.05). The DLR assay revealed suppressed fluorescence activity of CDKN2B-AS1-WT by miR-199a-5p (P < 0.05). Moreover, according to the rescue assay, the impacts of silencing CDKN2B-AS1 on LC cells could be completely offset by silencing miR-199a-5p (P < 0.05). According to the clone formation and WB assay, the growth and autophagy of LC cells were under the regulation of CDKN2B-AS1 targeting miR-199a-5p (P < 0.05). Conclusion: With high expression in LC cases, CDKN2B-AS1 is implicated in the development and progression of LC by suppressing cell autophagy through targeting miR-199a-5p.

The Symptoms and Factors Associated With Posttraumatic Stress Disorder for Burns Nurses: A Cross-Sectional Study From Guangdong Province in China.

The symptoms of posttraumatic stress disorder (PTSD) among medical staff have become a significant issue. Environments related to burns are highly stressful for nurses and can lead to PTSD, thus affecting their mental health. It is vital to consider that the quality of burns care, and the outcomes of such treatments, may be threatened if nurses experience PTSD. We evaluated PTSD symptoms in burns nurses and explored the correlations between demographic characteristics, work-related characteristics, professional identity, turnover intention, and PTSD symptoms. This was a cross-sectional study involving 273 nurses working in the burns unit from Guangdong, China, between July and August 2019. Nurses were recruited from 30 hospitals and completed three validated psychological questionnaires: Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C), Professional Identity Scale (PIS) for nurses, and Turnover Intention Questionnaire (TIQ). We also collated information relating to sociodemographic and work-related characteristics. The cutoff point for the PCL-C was defined as 38 points; 17.22% (n = 47) of participants scored higher than or equal to 38. The PCL-C score was negatively correlated with professional identity level (P < .01) and positively correlated with turnover intention (P < .01). The workplace, mean monthly income, experience of workplace violence, and professional identity level were important factors and all associated with the severity of PTSD. PTSD symptoms were common in burns nurses. Attention should be paid to the mental well-being of these staff. Screening processes need to be initiated to identify individuals suffering from PTSD and take appropriate early interventional action.

Reciprocal regulation of CIP2A and AR expression in prostate cancer cells.

Cancerous inhibitor of protein phosphatase 2A (CIP2A) is an oncoprotein overexpressed in human malignancies, including prostate cancer (PCa). In this study, we aimed to explore the oncogenic function of CIP2A in PCa cells and its underlying mechanism. We showed that 63.3% (38/60 cases) of PCa tissues exhibited a high CIP2A immunostaining, compared to 25% (3/12 cases) of BPH samples (p = 0.023). Furthermore, the protein level of CIP2A was positively correlated with patients' short survival time and nuclear AR levels in PCa tissues. Compared to PZ-HPV-7, an immortalized prostate cell line, androgen-sensitive LNCaP C-33, androgen-independent LNCaP C-81, or 22Rv1 cells exhibited a high CIP2A level, associated with high protein and phosphorylation levels of AR. While AR expression and activity modulated CIP2A expression, manipulating CIP2A expression in PCa cells regulated their AR protein levels and proliferation. The reduction of CIP2A expression also enhanced the sensitivity of PCa cells toward Enzalutamide treatment. Our data further showed that depletion of polo-kinase 1 (PLK1) expression or activity in C-81 or 22Rv1 cells caused reduced protein levels of c-Myc and AR. Notably, inhibition of PLK1 activity could abolish CIP2A-promoted expressions in c-Myc, AR, and prostate-specific antigen (PSA) in C-33 cells under an androgen-deprived condition, suggesting the role of PLK1 activity in CIP2A-promoted AR expression. In summary, our data showed the existence of a novel regulation between CIP2A and AR protein levels, which is critical for promoting PCa malignancy. Thus, CIP2A could serve as a therapeutic target for PCa.

[Chronic Helicobacter pylori infection induces the proliferation and apoptosis in gastric epithelial cells and gastric precancerosis in Mongolian gerbils].

OBJECTIVE: To explore the effect of different Helicobacter pylori (H.pylori) clinical strains on the proliferation and apoptosis of gastric epithelial cells, and to observe the effect of H.pylori on gastric mucosa by Mongolian gerbil model infected H.pylori. METHODS: H.pylori isolates harvested from pathologically documented gastric carcinoma (GC, n=10) or chronic gastritis specimens (CG, n=10) were co-cultured with GES-1 cells individually. MTT assay and flow cytometry were used to determine the proliferation and apoptosis of GES-1 cells induced by H.pylori isolates. Mongolian gerbils were infected by the most (A strain) and the least (B strain) significantly proliferated H.pylori strains. Results When co-cultured with the cell/bacteria concentration ratio 1:1 and 1:50 for 12 h and the cell/bacteria concentration ratio 1:50 for 24 h, H.pylori clinical strains isolated from patients with gastric cancer promoted the proliferation of GES-1 cells, and there was significant difference in the absorbance compared with the group of gastritis strains(P<0.05). The apoptosis rate of the GC and CG groups increased significantly (P<0.05) compared with the control group when co-cultured with the cell/bacteria concentration ratio 1:50 and 1:200, and there was no significant difference between the GC group and the CG group (P>0.05). The incidences of intestinal metaplasia and dysplasia in the A strain group were significantly higher than those in the B strain group (P<0.05). CONCLUSION: H.pylori strains from different disease sources have different effects on the proliferation of GES-1 cells. H.pylori isolated from gastric cancer can promote the proliferation of cells to different degrees and directly induce gastric precancerosis and gastric cancer.

Plasmodium infection inhibits triple negative 4T1 breast cancer potentially through induction of CD8+ T cell-mediated antitumor responses in mice.

We previously reported that Plasmodium infection promotes antitumor immunity in a murine Lewis lung cancer. In this study, we investigated the effects of Plasmodium infection on the tumor inhibition and antitumor CD8+ T cell responses in a murine triple negative breast cancer (TNBCA) model. The results showed that Plasmodium infection significantly inhibited tumor growth, and increased the survival rate of the tumor-bearing mice. Both effector and memory CD8+ T cells were increased in peripheral blood and tumor-draining lymph node (DLN) in the infected mice. The co-stimulatory (CD40L, GITR and OX-40) and co-inhibitory (PD-1, CTLA-4, TIM-3, LAG3) immune checkpoints were up-regulated on CD8+ T cells in infected mice. Importantly, Py induced remarkable effects on the infiltration of CD8+ T cells in the tumor and granzym B+ CD8+ T cells in tumor-bearing mice while not in tumor-free mice. In summary, the results suggested that the effects of Plasmodium infection on murine 4T1 breast cancer might be related to the induction of CD8+ T cell-mediated antitumor immune responses. This finding may provide a novel strategy for the treatment of triple negative breast cancer.

Nontuberculous mycobacterial pulmonary disease and associated risk factors in China: A prospective surveillance study.

BACKGROUND: We aimed to address the knowledge gap that exists regarding the epidemiological, demographic, and clinical characteristics of nontuberculous mycobacterial pulmonary diseases (NTM-PDs) among smear-positive patients with symptoms suggestive of pulmonary tuberculosis (PTB) in China. METHODS: Prospective and national surveillance of NTM-PD was performed from 17 hospitals within the China Nontuberculous Mycobacteria Surveillance Study (CNTMS). Patients were eligible for inclusion if they had positive smears during hospitalization. Sputum specimens were collected for molecular species identification. RESULTS: 6,766 patients with valid results were included, consisting of 6,236 (92.2%) with PTB, 458 (6.8%) with NTM-PD, and 72 (1.0%) with colonization. The proportion of NTM-PD in PTB patients exhibited significant geographic diversity, ranging from 3.2% in the northwest to 9.2% in the south. The most prevalent species was Mycobacterium intracellulare, followed by Mycobacterium abscessus complex. Females, elderly people, and patients with bronchiectasis or COPD are at high risk for developing NTM-PD, while patients with diabetes have a lower risk of NTM-PD when compared with non-diabetic patients. Regarding clinical symptoms, lower rates of persistent cough and weight loss were noted in NTM-PD patients than in PTB patients. CONCLUSIONS: Approximately one-fifteenth of PTB patients are afflicted with nontuberculous mycobacterial infections in China. The prevalence of NTM shows geographic diversity across the country, and it showed a gradual increase from north to south and from west to east. NTM-PD patients are prone to exhibit less severe clinical symptoms than PTB patients, highlighting the importance of raising awareness of NTM diseases to improve decision making on how to best screen, diagnose, and treat NTM in TB-endemic settings.

Association between fine particle exposure and common test items in clinical laboratory: A time-series analysis in Changsha, China.

Most studies on the health effects of PM2.5 (fine particulate matter with diameter smaller than 2.5 µm) use indirect indicators, such as mortality and number of hospital visits. Recent research shows that biomarkers can also be used to evaluate the health effects of PM2.5; however, these biomarkers are not very common. Clinical laboratories can provide a significant amount of test data that have been proven to have important diagnostic value. Therefore, we use big data analysis methods to find the associations between clinical laboratory common test items and PM2.5 exposure. Data related to air pollution and meteorological information between 2014 and 2016 were obtained from the China National Environmental Monitoring Centre and the China National Meteorological Information Center. Additionally, data of 27 common test items from the same period were collected from Changsha Central Hospital. Primary analyses included a generalized additive model to analyze the associations between PM2.5 concentration and common test items; the model was adjusted for time trends, weather conditions (temperature and humidity), and days of the week. Furthermore, we adjusted the effects of other air pollutants, such as PM10, SO2, NO2, CO, and O3. 17 items such as TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, LDL, WBC, K, Cl, Ca, TT, and FIB were significantly positively associated with PM2.5 concentration (P< 0.05) and have concentration-response relationship. After adjusting the effect of PM10+SO2+NO2+CO+O3, TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, WBC, Cl, and Ca were still significantly associated with PM2.5 concentration (P< 0.05). This current study suggested that clinical laboratory common test items may be used to assess and predict the health effects of PM2.5 on the population.