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Background Currently, the role of human papillomavirus (HPV)-58 in southwestern China has been unexplored. Although there is some controversy, it is proposed that the viral load of HPV correlates with the severity of intraepithelial lesions. Methods We identified 7747 patients from south Sichuan and adjacent regions who were diagnosed with HPV between 2013 and 2017. The HR-HPV subtype distribution was analyzed and the patient’s viral loads were quantified using real-time RT-PCR. Results Among all 7747 patients screened for HPV genotypes, 1728 patients (22.31%) were identified as having HR-HPV subtypes. In patients without intraepithelial lesions (12.41%), HPV-52, HPV-16, and HPV-58 were the three most prevalent HR-HPV subtypes. Moreover, HPV-16, HPV-58, and HPV-33 were the most prevalent subtypes in patients with cervical intraepithelial neoplasia grade II (CINII) (42.86%) and grade III (CINIII) (59.81%), and accounted for the majority of invasive cervical cancer (ICC) (69.34%). Thus, viral loads of HPV-58, HPV-16, and HPV-33 positively correlated with the severity of cervical lesions ( P  < 0.001, P  = 0.016, P  = 0.026, respectively). Using receiver operating characteristic (ROC) curve analysis, the optimum thresholds for predicting severe intraepithelial lesions of cases (CINI, CINIII and ICC) with HPV-16, HPV-58, and HPV-33, respectively, were obtained, which were 1, 0.93, and 0.25, respectively. Conclusion In our study, we showed that HPV-16 was the most common carcinogenic HPV subtype in southwestern China followed by HPV-58 and HPV-33. Viral loads of these subtypes are associated with the severity of premalignant lesions in the cervix.

The third most often diagnosed disease globally and the second most prevalent cause of cancer-related death is colorectal cancer (CRC). Numerous human malignancies have been identified to have high expression of ADORA2A. However, it is still ambiguous about its function in CRC. RNA-seq with stable transfected SETDB1 knockdown cells was used to identify differentially expressed genes. Further, knockdown of ADORA2A in CRC cell lines SW620 and HCT116 was performed with siRNA and over expression of ADORA2A in SW480 cells was conducted with plasmids. CCK8, colony formation, wound healing, and transwell assay were used to detect the effects of cell proliferation, migration, and invasion after knockdown and over expression of ADORA2A. Also, apoptosis was analyzed by flow cytometry, apoptosis-related proteins and key PI3K/AKT pathway proteins were detected using Western blotting. ADORA2A was identified after RNA-seq analysis and played an important role in CRC prognosis. ADORA2A was relatively high in SW620 and HCT116 cell lines compared to SW480 cell lines. ADORA2A knockdown in SW620 and HCT116 inhibited cell proliferation, migration, and invasion, while ADORA2A overexpression had the opposite effect. In addition, ADORA2A also impacted the expression of apoptosis-related proteins, including Bcl-2, Bax, Cleaved caspase-3 and Cleaved caspase-9, and reduced apoptosis. Furthermore, this process may include the PI3K/AKT signaling pathway. ADORA2A promotes CRC progression and inhibits apoptosis by the PI3K/AKT signaling pathway. It may contribute to the management and treatment of CRC.

•RAVEL substantially improved the reproducibility of image intensities.•ComBat is preferred over RAVEL and the RAVEL-ComBat combination in terms of regional level harmonization due to more consistent harmonization across subjects and image-derived measures.•RAVEL and ComBat substantially reduced bias compared to analysis of RAW images, but RAVEL also resulted in larger variance.•The larger root mean square deviation (RMSD) of RAVEL compared to ComBat is due mainly to its larger variance. Modern neuroimaging studies frequently combine data collected from multiple scanners and experimental conditions. Such data often contain substantial technical variability associated with image intensity scale (image intensity scales are not the same in different images) and scanner effects (images obtained from different scanners contain substantial technical biases). Here we evaluate and compare results of data analysis methods without any data transformation (RAW), with intensity normalization using RAVEL, with regional harmonization methods using ComBat, and a combination of RAVEL and ComBat. Methods are evaluated on a unique sample of 16 study participants who were scanned on both 1.5T and 3T scanners a few months apart. Neuroradiological evaluation was conducted for 7 different regions of interest (ROI's) pertinent to Alzheimer's disease (AD). Cortical measures and results indicate that: (1) RAVEL substantially improved the reproducibility of image intensities; (2) ComBat is preferred over RAVEL and the RAVEL-ComBat combination in terms of regional level harmonization due to more consistent harmonization across subjects and image-derived measures; (3) RAVEL and ComBat substantially reduced bias compared to analysis of RAW images, but RAVEL also resulted in larger variance; and (4) the larger root mean square deviation (RMSD) of RAVEL compared to ComBat is due mainly to its larger variance.

Firearm violence is a leading cause of injury and mortality in the United States. Hospital-based violence intervention programs (HVIPs) are a promising public health strategy designed to reduce recurrent violence by engaging patients during hospitalization and connecting them to support services after discharge. This protocol describes the design and implementation of the Houston Hospital-Based Violence Intervention Program (Houston-HVIP), which will be evaluated by a randomized controlled trial conducted at a Level 1 trauma center in Houston, Texas. The study plans to enroll individuals aged 16–35 who present with gunshot wounds (GSW) at the Level 1 trauma center. Participants are randomized to either a treatment group receiving six months of intensive case management with direct referrals to social services or a control group receiving usual care, which involves indirect referral and limited case management. The primary outcome is a composite measure of an individual’s exposure to firearm violence via (a) self-report, (b) hospital admission records, and (c) mortality records. Secondary outcomes measured at the individual level assess violent reinjury, attitudes toward violence, post-traumatic stress, aggression, and self-rated health. Outcomes are assessed at baseline and 3-, 6-, 9-, and 12-months post-enrollment. The study will enroll 274 participants and include both quantitative and qualitative assessments to evaluate program impact and participant experience. This protocol aims to contribute to the design and implementation of HVIPs in large Level 1 trauma centers.

Immunotherapies such as checkpoint blockade therapies are known to enhance anti-melanoma CD8 + T cell immunity, but only a fraction of patients treated with these therapies achieve durable immune response and disease control. It may be that CD8 + T cells need help from other immune cells to generate effective and long-lasting anti-tumor immunity or that CD8 + T cells alone are insufficient for complete tumor regression and cure. Melanoma contains significant numbers of B cells; however, the role of B cells in anti-melanoma immunity is controversial. In this study, B16 melanoma mouse models were used to determine the role of B cells in anti-melanoma immunity. C57BL/6 mice, B cell knockout (KO) C57BL/6 mice, anti-CD19, and anti-CXCL13 antibody-treated C57BL/6 mice were used to determine treatment efficacy and generation of tumor-specific CD8 + T cells in response to PD-L1 blockade alone or combination with TLR-7/8 activation. Whole transcriptome analysis was performed on the tumors from B cell depleted and WT mice, untreated or treated with anti-PD-L1. Both CD40-positive and CD40-negative B cells were isolated from tumors of TLR-7/8 agonist-treated wild-type mice and adoptively transferred into tumor-bearing B cell KO mice, which were treated with anti-PD-L1 and TLR-7/8 agonist. Therapeutic efficacy was determined in the presence of activated or inactivated B cells. Microarray analysis was performed on TLR-7/8-treated tumors to look for the B cell signatures. We found B cells were required to enhance the therapeutic efficacy of monotherapy with anti-PD-L1 antibody and combination therapy with anti-PD-L1 antibody plus TLR-7/8 agonist. However, B cells were not essential for anti-CTLA-4 antibody activity. Interestingly, CD40-positive but not CD40-negative B cells contributed to anti-melanoma immunity. In addition, melanoma patients’ TCGA data showed that the presence of B cell chemokine CXCL13 and B cells together with CD8 + T cells in tumors were strongly associated with improved overall survival. Our transcriptome data suggest that the absence of B cells enhances immune checkpoints expression in the tumors microenvironment. These results revealed the importance of B cells in the generation of effective anti-melanoma immunity in response to PD-1-PD-L1 blockade immunotherapy. Our findings may facilitate the design of more effective anti-melanoma immunotherapy.

In this study, we investigated the effects of lentinan (LNT) on hematological parameters, immune indices, and metabolite levels in dairy cows. We randomly assigned forty Holstein cows to four treatment groups. The treatments consisted of 0, 5, 10, and 15 g/d of LNT. Compared with the control group, the addition of 10 g/d of LNT decreased the content of ALT and IL-8 but simultaneously increased the content of IL-4 in the cows’ serum. Supplementation with 10 g/d of LNT decreased the levels of lymphocyte, RDW, ALT, AST, TC, IL-2, and IL-8, but, concurrently, in-creased the levels of granulocytes and IL-4 in their serum. In addition, supplementation with 15 g/d of LNT decreased the levels of RDW, TC, IL-2, and IL-8, but, at the same time, increased the levels of IL-4 and IgM in their serum. For the metabolomic analysis, cows fed with 0 and 10 g/d of LNT were selected. The results showed that 10 metabolites, including reduced nicotinamide riboside and trehalose, were upregulated in the 10 g/d group. These differential metabolites were enriched in tyrosine metabolism and trehalose degradation and altered two metabolic pathways of ubiquinone and other terpene quinone biosynthesis, as well as starch and sucrose metabolism. These findings provide evidence that LNT could be used to reduce the risk of inflammation in dairy cows.

Elevated levels of blood glucose in patients with ischemic stroke are associated with a worse prognosis. The present study aimed to explore whether hyperglycemia promotes microglial pyroptosis by increasing the oxygen extraction rate in an acute ischemic stroke model. C57BL/6 mice that underwent middle cerebral artery occlusion were used for assessment of blood glucose level and neurological function. The cerebral oxygen extraction ratio (CERO2), oxygen consumption rate (OCR) and partial pressure of brain tissue oxygen (PbtO2) were measured. To investigate the significance of the NOD-like receptor protein 3 (NLRP3) inflammasome, NLRP3−/− mice were used, and the expression levels of NLRP3, caspase-1, full-length gasdermin D (GSDMD-FL), GSDMD-N domain (GSDMD-N), IL-1β and IL-18 were evaluated. In addition, Z-YVAD-FMK, a caspase-1 inhibitor, was used to treat microglia to determine whether activation of the NLRP3 inflammasome was required for the enhancing effect of hyperglycemia on pyroptosis. It was revealed that hyperglycemia accelerated cerebral injury in the acute ischemic stroke model, as evidenced by decreased latency to fall and the percentage of foot fault. Hyperglycemia aggravated hypoxia by increasing the oxygen extraction rate, as evidenced by increased CERO2 and OCR, and decreased PbtO2 in response to high glucose treatment. Furthermore, hyperglycemia-induced microglial pyroptosis was confirmed by detection of increased levels of caspase-1, GSDMD-N, IL-1β and IL-18 and a decreased level of GSDMD-FL. However, the knockout of NLRP3 attenuated these effects. Pharmacological inhibition of caspase-1 also reduced the expression levels of GSDMD-N, IL-1β and IL-18 in microglial cells. These results suggested that hyperglycemia stimulated NLRP3 inflammasome activation by increasing the oxygen extraction rate, thus leading to the aggravation of pyroptosis following ischemic stroke.

Metastasis is the main cause of colorectal cancer (CRC)-related death and lymph node plays a vital role in this process. Long noncoding RNAs (lncRNAs) are emerging as an important factor of biological progress in cancers. However, lncRNAs related to CRC metastasis was rarely reported.CLAN expression data of tumor tissues and normal tissues were obtained from GEPIA database and 23 paired tumor and normal samples of patients. CLAN expression of 85 patients was carried out with RNA extracted from FFPE samples and quantified with qRT-PCR. Patients’ clinical features were collected from department of Pathology of the Affiliated Hospital of Southwest Medical University. Immunohistochemistry staining was used to detect the metastasis-related proteins.CLAN was highly expressed in tumor tissues. And the expression level was not correlated with age, gender, differentiation, and location of CRC patients. Also, CLAN expression did not correlated with budding, LVI, and TILs. However, CLAN expression was strongly associated with lymph node metastasis and higher TNM stage. CLAN changed the lymphatic vessel density by promoting lymphangiogenesis but CLAN did not affect the blood vessel density.CLAN was a unique lncRNA that promoted lymphangiogenesis to accelerate CRC metastasis. CLAN might play a unique role in tumor early dissemination through lymphatic vessel.

Genetic alterations, including , and promoter mutations ( -mu, -mu, -mu, respectively), 1p/19q co-deletion (1p/19q-codel), and promoter methylation ( -M), are correlated with glioma tumor development. Therefore, these genetic alterations could serve as biomarkers for the diagnosis, prognosis, and classification of gliomas, combined with the immunohistochemical markers Ki-67 and p53. However, the correlation between these alterations and the expression of Ki-67 and p53 is poorly understood. We analyzed the prevalence and prognosis of these five alterations, as well as Ki-67 and p53 expression, in 103 primary grade II-IV gliomas via fluorescence qPCR, Sanger sequencing, fluorescence in situ hybridization, and immunohistochemistry. In the 103 cases, -M was the most common alteration (70.9%), followed by mu (58.3%), mu (46.6%), 1p/19q-codel (34.0%), and -mu (5.8%). No cases showed quintuple-positive alterations, but 26 cases (25.2%) showed quadruple-positive alterations ( -mu/ -mu/ -M/1p/19q-codel). The percentage of -mu and 1p/19q-codel cases decreased with p53 expression, and the percentage of -mu and 1p/19q-codel cases decreased with Ki-67 expression. -mu, -M, and 1p/19q-codel were positive factors for survival rates in glioma patients, while -mu, p53, and Ki-67 positivity were negative factors. Old age, histological grade IV, -mu, 1p/19q-codel, Ki-67+, and p53+/Ki-67+ were significantly correlated with overall survival (OS). However, only p53+/Ki-67+ was an independent prognostic factor for OS in the multivariate Cox-model analysis. mu only and quadruple-positivity were associated with good OS in glioma patients, while -mu only, -mu/ -M and p53+/Ki-67+ were associated with poor prognosis. Combining these genomic alterations and Ki-67/p53 expression should have clinical value in gliomas.