Objective: To retrospectively analyze the early monitoring indicators before and after admission, the use of coagulation/anticoagulant medications, and the red blood cell transfusion within 24 hours in emergency trauma patients, and to identify the indicators related to the volume of red blood cells transfused during the first 24 hours of hopitalization, thereby assisting clinical judgment of the probability and required quantity of red blood cell transfusion. Methods: Data of 117 emergency trauma patients admitted to intensive care unit (ICU) from January 2022 to March 2024 were retrospectively analyzed. Patients were categorized according to whether the volume of red blood cells transfused within 24 hours exceeded specific quartile thresholds (Q1, Q2, Q3). Non-parametric tests were used for numerical variables and Chi-square tests were used for categorical variables to identify statistically significant single-factor indicators, which were subsequently incoporated into a binary logistic regression model to obtain a combined predictive probability. ROC curve analysis was performed on the multi-factor indicators and their combined predictive probability derived from the binary logistic regression model. Results: 1) The initial hemoglobin (Hb) and hematocrit (Hct) levle were independent influencing factors in the group with red blood cell transfusion volume exceeded Q1 (P<0.05), and the combined predictive probability demostrated by ROC curve analysis was AUC=0.858 (P<0.05). 2) In the group of red blood cell transfusion volume exceeding Q2, the initial Fib, transhulitic acid, human prothrombin complex, trauma category and primary trauma site were independent influencing factors (P<0.05), and the combined predictive probability of ROC curve analysis was AUC=0.966 (P<0.05). 3) Pulse pressure and trauma category were independent influencing factors in the group with red blood cell transfusion volume exceeding Q3 (P<0.05), and ROC curve analysis revealed that combined prediction probability was AUC=0.944 (P<0.05). Conclusion: Early monitoring indicators and the use of coagulation medications, before and after admission in emergency trauma patients show diagnostic value in predicting the amount of red blood cells transfused on the first day of admission. Early warning alerts established through patient monitoring indicators can reduce incidents of untimely blood supply from the blood transfusion department (blood bank) for emergency trauma patients with massive hemorrhage, especially for patients with rare blood types or during blood supply shortage.

BACKGROUND:Nerve growth factor is a protein that induces nerve growth and regulates biological behaviors such as proliferation and differentiation of mesenchymal stem cells. OBJECTIVE:To investigate the promoting effect of nerve growth factor on chondrogenic differentiation of bone marrow mesenchymal stem cells. METHODS:Rabbit bone marrow mesenchymal stem cells were isolated and cultured,and nerve growth factor was transfected into bone marrow mesenchymal stem cells by lentiviral transfection.The effects of nerve growth factor on the proliferation,migration,hypertrophic differentiation,and chondrogenic differentiation of bone marrow mesenchymal stem cells were detected by CCK-8 assay,cell scratch assay,alizarin red staining,and western blot assay,using the transfected null-loaded virus as control.To further investigate the promoting effect of nerve growth factor on the chondrogenic differentiation of bone marrow mesenchymal stem cells,interleukin 1β was added in bone marrow mesenchymal stem cells transfected with empty virus and nerve growth factor for 14 days.The expression of proteins related to chondrogenic differentiation and hypertrophic differentiation was detected by western blot assay. RESULTS AND CONCLUSION:(1)CCK-8 assay results showed that nerve growth factor had no significant effect on the proliferation of bone marrow mesenchymal stem cells.(2)Compared with the control group,overexpression of nerve growth factor enhanced the migration ability of the cells,and the expression of cartilage-associated proteins type II collagen and SOX9 was up-regulated(P<0.05),while the expression of hypertrophic-associated proteins type X collagen and Runx2 was down-regulated(P<0.05).(3)Compared with the empty virus+interleukin 1β group,the expression of cartilage-associated proteins type II collagen and Sox9 was up-regulated(P<0.05),and the expression of hypertrophy-associated proteins type X collagen and Runx2 was down-regulated after overexpression of nerve growth factor(P<0.05).(4)The results indicated that nerve growth factor could promote the chondrogenic differentiation of bone marrow mesenchymal stem cells.

Tumor recurrence is one of the major life-threatening complications after liver transplantation for liver cancer. In addition to the common mechanisms underlying tumor recurrence, another unavoidable problem is that the immunosuppressive therapeutic regimen after transplantation could promote tumor recurrence and metastasis. Transplant oncology is an emerging field that addresses oncological challenges in transplantation. In this context, a comprehensive therapeutic management approach is required to balance the anti-tumor treatment and immunosuppressive status of recipients. Double-negative T cells (DNTs) are a cluster of heterogeneous cells mainly consisting of two subsets stratified by T cell receptor (TCR) type. Among them, TCRαβ⁺ DNTs are considered to induce immune suppression in immune-mediated diseases, while TCRγδ⁺ DNTs are widely recognized as tumor killers. As a composite cell therapy, healthy donor-derived DNTs can be propagated to therapeutic numbers in vitro and applied for the treatment of several malignancies without impairing normal tissues or being rejected by the host. In this work, we summarized the biological characteristics and functions of DNTs in oncology, immunology, and transplantation. Based on the multiple roles of DNTs, we propose that a new balance could be achieved in liver transplant oncology using them as an off-the-shelf adoptive cell therapy (ACT).
Humans ; T-Lymphocytes ; Immunotherapy, Adoptive ; Neoplasm Recurrence, Local ; Transplantation, Homologous ; Cell- and Tissue-Based Therapy

Humans ; COVID-19 ; HIV Infections/drug therapy* ; Risk Factors

Objective:To explore the clinical and endoscopic features of patients with autoimmune gastritis (AIG) and to improve the accuracy of clinical diagnosis of AIG.Methods:From January 3, 2020 to November 25, 2021, the general information (gender, age), laboratory examination indicators and endoscopic findings of 179 AIG patients diagnosed at the Second Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. The laboratory examination indicators included hemoglobin, gastrin-17, pepsinogen (PG), anemia combination indicators (ferritin, vitamin B 12), thyroid function indicators (thyroid-stimulating hormone, thyroglobulin antibody and thyroid peroxidase antibody), Helicobacter pylori, and anti-parietal cell antibody and anti-intrinsic factor antibody. Descriptive methods were used for statistical analysis. Results:Among the 179 AIG patients, there were 42 males (23.5%) and 137 females (76.5%), with an average age of (55.23±12.04) years old. The gastrin-17 level of AIG patients was 195.31 ng/L (143.64 ng/L, 273.61 ng/L), PG Ⅰ level and PG Ⅰ/PG Ⅱ ratio were 12.40 μg/L (7.65 μg/L, 19.40 μg/L) and 1.03 (0.66, 1.52), respectively. There were 15.3% (18/118) of the AIG patients with iron deficiency anemia, and 16.1% (19/118) with megaloblastic anemia. The positive rate of anti-parietal cell antibody was 71.8% (51/71), and the positive rate of anti-intrinsic factor antibody was 25.4% (18/71). The serum thyroid-stimulating hormone level increased in 27.3% (15/55) of the patients, and the positive rates of thyroglobulin antibody and thyroid peroxidase antibody were 31.6% (12/38) and 47.4% (18/38), respectively. The positive rate of Helicobacter pylori was 29.7% (38/128). The endoscopic appearance of AIG indicated reverse atrophy, characterized by obvious atrophy in gastric fundus and gastric body mucosa, however the atrophy of gastric antrum was not obvious. Under endoscopy yellow-white turbid mucus, which was difficult to be washed, was found in 67.0% (120/179) of the patients, and under endoscopy the residual gastric fundus glands could be seen in 19.6% (35/179) of the patients. Among 179 AIG patients, 7 cases (3.9%) of neuroendocrine tumor (NET), 7 cases (3.9%) of early gastric adenocarcinoma (including 1 case of poorly differentiated adenocarcinoma), 1 case (0.6%) of adenoma, and 14 cases (7.8%) of hyperplastic polyps were found. Except for the case of poorly differentiated adenocarcinoma undergoing surgery, the others were treated with endoscopic resection. Conclusions:When unexplained iron deficiency anemia, megaloblastic anemia, or reverse atrophy is found, AIG should be considered. AIG patients are at high risk for gastric cancer and NET, and should be closely followed up, and active treatment should be given before anemia and neurological symptoms appear.

[This corrects the article DOI: 10.1016/j.apsb.2021.04.022.].

【Objective】 To understand the memory phenotype and function of SARS-CoV-2 reactive CD4+ T cells in healthy individuals. 【Methods】 In this study, SARS-CoV-2-derived peptides were used to stimulate PBMC from participants.SARS-CoV-2 reactive memory T cells were detected by intracellular staining and flow cytometry, and memory phenotype analysis was performed.CBA was used to detect cytokine secretion after SARS-CoV-2-derived peptides stimulation to evaluate the function of SARS-CoV-2 reactive memory T cells. 【Results】 We found that SARS-CoV-2 reactive CD4+ memory T cells could be detected in 40% (6/15) healthy donors.Phenotypic analysis of memory showed that these T cells were mainly composed of central memory T cells(82.2%), and other memory cells accounted for 17.8%.Compared with negative control, IL-10 was significantly decreased after stimulation of SARS-CoV-2-derived peptides (P<0.05), while the secretion of IFNγ, TNFα, IL-2 and IL-4 showed no significant difference. 【Conclusions】 SARS-CoV-2 reactive CD4+ memory T cells are present in healthy individuals from China.

Insurmountable blood‒brain barrier (BBB) and complex pathological features are the key factors affecting the treatment of Alzheimer's disease (AD). Poor accumulation of drugs in lesion sites and undesired effectiveness of simply reducing A

Accurate tumor targeting, deep penetration and superb retention are still the main pursuit of developing excellent nanomedicine. To achieve these requirements, a stepwise stimuli-responsive strategy was developed through co-administration tumor penetration peptide iRGD with shape-transformable and GSH-responsive SN38-dimer (d-SN38)-loaded nanoparticles (d-SN38@NPs/iRGD). Upon intravenous injection, d-SN38@NPs with high drug loading efficiency (33.92 ± 1.33%) could effectively accumulate and penetrate into the deep region of tumor sites with the assistance of iRGD. The gathered nanoparticles simultaneously transformed into nanofibers upon 650 nm laser irradiation at tumor sites so as to promote their retention in the tumor and burst release of reactive oxygen species for photodynamic therapy. The loaded d-SN38 with disulfide bond responded to the high level of GSH in tumor cytoplasm, which consequently resulted in SN38 release and excellent chemo-photodynamic effect on tumor.

Objective:To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients.Methods:Based on the patients’ admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model.Results:In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as: blood oxygen saturation <94 %, peripheral white blood cells count >8.0×10 9, change in systolic blood pressure <-2.5 mmHg, heart rate >90 beats/min, multiple small patchy shadows, age >30 years, and change in heart rate <12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7 %, and the missed diagnosis rate was 38.3 %. The prediction sensitivity of the model based on the test set was 75.0 %, and the missed diagnosis rate was 25.0 %. Conclusions:Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model’s prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.