Effects of transcription factor SOX11 on the biological behavior of neuroblastoma cell and potential regulatory mechanism.

Purpose: This study aimed to analyze the expression and prognosis of SRY-box transcription factor 11 (SOX11) in neuroblastoma (NB), as well as the biological function and potential regulatory mechanism of SOX11 in NB. Methods: Public RNA sequencing was used to detect the expression level of SOX11. The Kaplan-Meier curve and hazard ratios (HR) were used to determine the prognostic value of SOX11 in NB. Functional analyses were performed using CCK8, wound healing assay, and transwell invasion assay. Finally, the potential target genes of SOX11 were predicted by Harmonizonme (Ma'ayan Laboratory) and Cistrome Data Browser (Cistrome Project) database to explore the potential molecular mechanism of SOX11 in NB. Results: Compared with normal adrenal tissue, the expression of SOX11 in NB tissue was significantly upregulated. The Kaplan-Meier curve showed that high expression of SOX11 was associated with poor prognosis in children with NB (HR, 1.719; P = 0.049). SOX11 knockdown suppressed the migration capacity of SK-N-SH cells but did not affect proliferation and invasion capacity. Enhancer of zeste homolog 2 (EZH2) may be a potential downstream target gene for the transcription factor SOX11 to play a role in NB. Conclusion: The transcription factor SOX11 was significantly upregulated in NB. SOX11 knockdown suppressed the migration capacity of NB cell SK-N-SH. SOX11 may promote the progression of NB by targeting EZH2.

Regulatory effect of Yinchenhao decoction on bile acid metabolism to improve the inflammatory microenvironment of hepatocellular carcinoma in mice.

Hepatocellular carcinoma (HCC) is a malignant tumor with extremely high mortality. The tumor microenvironment is the "soil" of its occurrence and development, and the inflammatory microenvironment is an important part of the "soil". Bile acid is closely related to the occurrence of HCC. Bile acid metabolism disorder is not only directly involved in the occurrence and development of HCC but also affects the inflammatory microenvironment of HCC. Yinchenhao decoction, a traditional Chinese medicine formula, can regulate bile acid metabolism and may affect the inflammatory microenvironment of HCC. To determine the effect of Yinchenhao decoction on bile acid metabolism in mice with HCC and to explore the possible mechanism by which Yinchenhao decoction improves the inflammatory microenvironment of HCC by regulating bile acid metabolism, we established mice model of orthotopic transplantation of hepatocellular carcinoma. These mice were treated with three doses of Yinchenhao decoction, then liver samples were collected and tested. Yinchenhao decoction can regulate the disorder of bile acid metabolism in liver cancer mice. Besides, it can improve inflammatory reactions, reduce hepatocyte degeneration and necrosis, and even reduce liver weight and the liver index. Taurochenodeoxycholic acid, hyodeoxycholic acid, and taurohyodeoxycholic acid are important molecules in the regulation of the liver inflammatory microenvironment, laying a foundation for the regulation of the liver tumor inflammatory microenvironment based on bile acids. Yinchenhao decoction may improve the inflammatory microenvironment of mice with HCC by ameliorating hepatic bile acid metabolism.

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

BACKGROUND: Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell research. In recent years, deep learning has emerged as a powerful tool for cell image analysis and classification/prediction. METHODS: In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) images. RESULTS: After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HSCs, short-term HSCs, and MPPs. The LSM model extracts intrinsic morphological features unique to different cell types, irrespective of the methods used for cell identification and isolation, such as surface markers or intracellular GFP markers. Furthermore, employing the same deep learning framework, we created a two-class classifier that effectively discriminates between aged HSCs and young HSCs. This discovery is particularly significant as both cell types share identical surface markers yet serve distinct functions. This classifier holds the potential to offer a novel, rapid, and efficient means of assessing the functional states of HSCs, thus obviating the need for time-consuming transplantation experiments. CONCLUSION: Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. This novel and robust deep learning-based platform will provide a basis for the future development of a new generation stem cell identification and separation system. It may also provide new insight into the molecular mechanisms underlying stem cell self-renewal.

Association between Hepatitis B virus and gastric cancer: A systematic review and meta-analysis.

An increasing number of studies are suggesting that hepatitis B virus (HBV) infection may be associated with an increased risk of not only hepatocellular carcinoma but also gastric cancer (GC). Whether HBV infection can be a risk factor for GC remains to be explored. In this study, we systematically searched for all eligible literature in 7 databases (China National Knowledge Infrastructure, WanFang, China Science and Technology Journal, PubMed, Cochrane Library, Web of Science and Embase). Eligible studies were required to have a case-control or cohort design. Sixteen studies were included and a meta-analysis was performed using Stata version 17.0. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The association between HBV infection and risk of GC was quantified by calculating the odds ratio and 95% confidence interval. The proportion of high-quality studies was 87.5% (14/16). The risk of GC was higher when HBV infection was present than when it was not (combined odds ratio 1.29, 95% confidence interval 1.16-1.44; I2 = 62.7%, p < 0.001). The results of subgroup analyses were consistent with the main results. In conclusion, this systematic review and meta-analysis identified a positive association between HBV infection and an increased risk of GC.

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

Background: Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell research. In recent years, deep learning has emerged as a powerful tool for cell image analysis and classification/prediction. Methods: In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) images. Results: After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HSCs (LT-HSCs), short-term HSCs (ST-HSCs), and MPPs. The LSM model extracts intrinsic morphological features unique to different cell types, irrespective of the methods used for cell identification and isolation, such as surface markers or intracellular GFP markers. Furthermore, employing the same deep learning framework, we created a two-class classifier that effectively discriminates between aged HSCs and young HSCs. This discovery is particularly significant as both cell types share identical surface markers yet serve distinct functions. This classifier holds the potential to offer a novel, rapid, and efficient means of assessing the functional states of HSCs, thus obviating the need for time-consuming transplantation experiments. Conclusion: Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. With ongoing advancements in model algorithms and their integration into various imaging systems, deep learning stands poised to become an invaluable tool, significantly impacting stem cell research.

STING activation in TET2-mutated hematopoietic stem/progenitor cells contributes to the increased self-renewal and neoplastic transformation.

Somatic loss-of-function mutations of the dioxygenase Ten-eleven translocation-2 (TET2) occur frequently in individuals with clonal hematopoiesis (CH) and acute myeloid leukemia (AML). These common hematopoietic disorders can be recapitulated in mouse models. However, the underlying mechanisms by which the deficiency in TET2 promotes these disorders remain unclear. Here we show that the cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-stimulator of interferon genes (STING) pathway is activated to mediate the effect of TET2 deficiency in dysregulated hematopoiesis in mouse models. DNA damage arising in Tet2-deficient hematopoietic stem/progenitor cells (HSPCs) leads to activation of the cGAS-STING pathway which in turn promotes the enhanced self-renewal and development of CH. Notably, both pharmacological inhibition and genetic deletion of STING suppresses Tet2 mutation-induced aberrant hematopoiesis. In patient-derived xenograft (PDX) models, STING inhibition specifically attenuates the proliferation of leukemia cells from TET2-mutated individuals. These observations suggest that the development of CH associated with TET2 mutations is powered through chronic inflammation dependent on the activated cGAS-STING pathway and that STING may represent a potential target for intervention of relevant hematopoietic diseases.

Association of food intake with a risk of metabolic dysfunction-associated fatty liver disease: a cross-sectional study.

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common liver disease, the risk of which can be increased by poor diet. The objective of this study was to evaluate the associations between food items and MAFLD, and to propose reasonable dietary recommendations for the prevention of MAFLD. Methods: Physical examination data were collected from April 2015 through August 2017 at Nanping First Hospital (n = 3,563). Dietary intakes were assessed using a semi-quantitative food frequency questionnaire. The association between food intake and the risk of MAFLD was assessed by using the inverse probability weighted propensity score. Results: Beverages (soft drinks and sugar-sweetened beverages) and instant noodles were positively associated with MAFLD risk, adjusting for smoking, drinking, tea intake, and weekly hours of physical activity [adjusted odds ratio (ORadjusted): 1.568; P = 0.044; ORadjusted: 4.363; P = 0.001]. Milk, tubers, and vegetables were negatively associated with MAFLD risk (ORadjusted: 0.912; P = 0.002; ORadjusted: 0.633; P = 0.007; ORadjusted: 0.962; P = 0.028). In subgroup analysis, the results showed that women [odds ratio (OR): 0.341, 95% confidence interval (CI): 0.172-0.676] had a significantly lower risk of MAFLD through consuming more tubers than men (OR: 0.732, 95% CI: 0.564-0.951). Conclusions: These findings suggest that reducing consumption of beverages (soft drinks and sugar-sweetened beverages) and instant noodles, and consuming more milk, vegetables, and tubers may reduce the risk of MAFLD.

Construction and evaluation of red blood cells-based drug delivery system for chemo-photothermal therapy.

In this study, a novel tumor-targeting drug delivery system (DDS) based on red blood cells (RBCs) were fabricated for combinational chemo-phototherapy against cancer. Cyclic peptide (cRGD) and indocyanine green (ICG) were applied to the surface of RBCs to increase the targeting and photothermal effect, respectively. Doxorubicin (DOX) as a model drug was loaded into RBCs by the hypotonic dialysis method. A series of tests have been carried out to evaluate the RBCs-based DDS and these tasks include physicochemical properties, cellular uptake, targeting ability, and combination therapeutic efficiency. As a result, the DOX was successfully loaded into RBCs and the drug loading amount was 0.84 ±â€¯0.09 mg/mL. There was no significant change of particle size after surface modification of RBCs. The RBCs-based DDS could target to the surface of cancer cells, which delivery DOX to the lesions efficiently and accurately. Meanwhile, due to the combined treatment effect, the RBCs-based DDS can effectively inhibit tumor growth. The RBCs-based DDS constructed in this research may have promising applications in cancer therapy due to their highly synergistic efficient therapy and to investigate its possibility for tumor therapy.

SARS-CoV-2 nucleocapsid protein intranasal inoculation induces local and systemic T cell responses in mice.

SARS-CoV-2 nucleocapsid (N) protein has been proposed as a good vaccine target. N-specific T cells were observed in SARS-CoV-2 N immunized mice and COVID-19 convalescents. It is of importance to identify the T cell responses triggered by SARS-CoV-2 N protein. Intradermal immunization with SARS-CoV N protein was demonstrated to elicit non-protective T cell responses which may be avoided by intranasal vaccination. Therefore, we conducted intranasal vaccination of BALB/c mice with recombinant adenovirus type-5 expressing SARS-CoV-2 N protein. Such procedure induced CD8 T cell responses in the lung. Meanwhile CD4 T cell responses were observed in the spleen, which was associated with robust antibody production. Our study further supports the notion that SARS-CoV-2 N protein can work as a target for vaccine development.

Safety Evaluation of a New Traditional Chinese Medical Formula, Ciji-Hua'ai-Baosheng II Formula, in Adult Rodent Models.

BACKGROUND: Ciji-Hua'ai-Baosheng II Formula (CHB-II-F) is a new traditional Chinese medical formula that has been shown to reduce toxicity and side effects of chemotherapy and increase the probability of cancer patient survival. Whether CHB-II-F is safe as an adjunctive therapy for cancer patients receiving chemotherapy has yet to be determined. PURPOSE: To evaluate the acute and subchronic toxic effects of CHB-II-F in rodent models. METHODS: In acute toxicity test, 24 Kunming mice were divided into 2 groups: untreated control and CHB-II-F 1.05 g/mL (31.44 g/kg) treated group. Treatment was administered to the treated group 3 times a day for 14 days. The overall health, adverse reactions, and mortality rate were documented. In subchronic toxicity test, 96 Sprague-Dawley rats were divided into 4 groups: untreated control, high dose CHB-II-F (H) (26.20 g/kg), medium dose CHB-II-F (M) (13. 10 g/kg), and low dose CHB-II-F (L) (6.55 g/kg) [equal to 24.375 g (dried medicinal herb)/kg] treated groups. Treated groups were given the treatments once a day for 4 weeks. The overall health and mortality rate were recorded every day. Body weight and food consumption were measured once a week. Hematologic and biochemical parameters, organ weights, and histopathologic markers were analyzed after 4 weeks. An additional 2 weeks were given as the treatment recovery period before end-point euthanization, and biochemical analyses were performed. RESULTS: The maximum tolerated dose (MTD) of CHB-II-F on mice was found to be 94.31 g/kg [equal to 351 g (dried medicinal herb)/kg], which is 108 times the human adult dose. In the acute toxicity test, administration of CHB-II-F 31.44 g/kg showed no adverse effect and did not cause mortality. In the subchronic toxicity test, after 4 weeks of treatment, compared to the controls, total cholesterol (TCHO) level, cardiac and splenic indexes, body weights of female rats, and mean corpuscular hemoglobin concentration (MCHC) in the CHB-II-F (H) group were significantly increased; triglyceride (TG) in the CHB-II-F (M) group and liver and splenic indexes in the CHB-II-F (L) group were increased. After the two-week recovery period, biofluid analyses, food consumption, and histopathologic examinations showed no abnormalities. CONCLUSION: Administration of CHB-II-F had no obvious adverse effect on the overall health of rodent models. A daily maximum dose of less than 94.31 g/kg or 6.55 g/kg CHB-II-F for 4 continuous weeks was considered safe.

Effects of Ciji Hua'ai Baosheng granule formula (CHBGF) on life time, pathology, peripheral blood cells of tumor chemotherapy model mouse with H22 hepatoma carcinoma cells.

BACKGROUND: Ciji Hua'ai Baosheng Granule Formula (CHBGF) is a traditional Chinese empirical formula that can help the tumor patients who have received chemotherapy antagonize the toxin and side-effects so as to improve and prolong the life. This study is to evaluate the effects of CHBGF on improving life quality in terms of survival time, pathology of tumor tissue and ameliorating peripheral blood cells in mouse chemotherapy model with subcutaneous transplanted tumor or ascitic tumor of H22 hepatoma carcinoma cells at an overall level. MATERIALS AND METHODS: 71 mice among the 92 Kunming mice were injected subcutaneously into the right anterior armpit with H22 hepatoma carcinoma cells, after 7 days, which had formed tumors and were used peritoneal injection of Cytoxan (CTX) (200mg/kg) to establish the mouse chemotherapy model with transplanted tumor, and then which were commensurately divided into 8 groups by random digits table. 21 mice were injected into peritoneal cavity to use CTX and the same method to establish the model. The groups for evaluating the effects on the survival time were the model, CHBGF and positive control group respectively with 7 mice in each group. The groups for evaluating the effects on anti-cancer were the model group, three treatment groups and positive control group with 10 mice in each group. The survival-time-observing groups were given intragastric administration of normal saline, CHBGF (64g/kg) once a day, and peritoneal injection of 5-Fluorouracil (25mg/kg) once every other day respectively. The survival time of each group was observed. The five anti-cancer-observing groups were given intragastric administration of normal saline, CHBGF (64g/kg, 32g/kg and 16g/kg) once a day, and peritoneal injection of 5-Fluorouracil (25mg/kg) once every other day respectively. After treatment for 21 days, the transplanted tumors were peeled off. Blood was collected through pricking eyeball and analyzed by hematology analyzer. And postchemotherapy transplanted tumor inhibition ratios were calculated. Pathological changes of tumor tissues and blood smears were observed with light microscope. RESULTS: The life prolonging rate of CHBGF (64g/kg) group with transplanted tumor is 20.14%, and their survival time was longer than that of the 5-Fluorouracil group (P<0.05). Life prolonging rate of CHBGF (64g/kg) group with ascitic tumor is 64.15%, the survival time was longer than that of the model group (P<0.01) and the 5-Fluorouracil group (P<0.05). The growth of the transplanted tumor in model group was faster than that in CHBGF (64g/kg) group and 5-Fluorouracil group (P<0.05). The tumor average weight of the positive drug and the CHBGF (64g/kg, 32g/kg) groups was lighter than that of the model group (P<0.05 or P<0.01). The inhibition ratios of CHBGF (64g/kg, 32g/kg and 16g/kg) groups are 31.15%, 21.31%, and 13.11% respectively. Under light microscope, in the positive drug and three CHBGF groups the pathological deteriorated severity of tumor tissue observed was milder than that in the model group, the distribution of WBC in CHBGF groups was more obvious than that of the model and 5-Fluorouracil groups. The WBC and PLT decrease in CHBGF (64g/kg, 32g/kg and 16g/kg) groups is less than the model and the 5-Fluorouracil group (P<0.05 or P<0.01), the number of RBC and HGB just in the CHBGF (64g/kg) group was more than that of the model group or the 5-Fluorouracil group (P<0.05). CONCLUSION: Ciji Hua'ai Baosheng Granule Formula can prolong the survival time of the mice chemotherapy model of both subcutaneous transplanted tumor and ascitic tumor of H22 hepatoma carcinoma cells, has some determinate inhibitory effects on the growth of subcutaneous transplanted tumor chemo-treated, and has the therapeutic effect on antagonizing decrease of WBC and PLT caused by chemotherapy.