[A review of progress in B cell receptor (BCR) antigen specificity].

B cell receptor (BCR) is a key molecule involved in B cell specific recognition and the binding of antigens to produce adaptive humoral immune response. Gene rearrangement and high frequency mutation during B cell differentiation are the main mechanisms of BCR diversification. The enormous diversity and unique molecular structure of BCR determine the diversity and specificity of antigen recognition, shaping complex B cell repertoire with extensive collections of antigen specificities. Therefore, BCR antigen-specific information is vital to understanding the adaptive immune characteristics of different diseases. Our ability to connect BCR repertoire and antigen specificity has been enhanced with the development of B cell related research technologies, such as single cell sorting techniques, high-throughput sequencing (HTS), linking B cell receptor to antigen specificity through sequencing (LIBRA-seq). It could help researchers to better understand humoral immune responses, identify disease pathogenesis, monitor disease progression, design vaccines, and develop therapeutic antibodies and drugs. We summarizes recent studies on antigen-specific BCR of infections, vaccinations, autoimmune diseases and cancer. By analyzing autoantibody sequences of SLE as a case, the identification of autoantigens has become potentially possible due to this characterization.

Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest.

Objective: To establish a risk prediction model of nonalcoholic fatty liver disease (NAFLD) and provide management strategies for preventing this disease. Methods: A total of 200 inpatients and physical examinees were collected from the Department of Gastroenterology and Endocrinology and Physical Examination Center. The data of physical examination, laboratory examination, and abdominal ultrasound examination were collected. All subjects were randomly divided into a training set (70%) and a verification set (30%). A random forest (RF) prediction model is constructed to predict the occurrence risk of NAFLD. The receiver operating characteristic (ROC) curve is used to verify the prediction effect of the prediction models. Results: The number of NAFLD patients was 44 out of 200 enrolled patients, and the cumulative incidence rate was 22%. The prediction models showed that BMI, TG, HDL-C, LDL-C, ALT, SUA, and MTTP mutations were independent influencing factors of NAFLD, all of which has statistical significance (P < 0.05). The area under curve (AUC) of logistic regression and the RF model was 0.940 (95% CI: 0.870~0.987) and 0.945 (95% CI: 0.899~0.994), respectively. Conclusion: This study established a prediction model of NAFLD occurrence risk based on the RF, which has a good prediction value.

[Expression of Th17 and IL-23 in Peripheral Blood and Their Relationship with Immunophenotype in Patients with Acute Myeloid Leukemia].

OBJECTIVE: To observe the expression of helper T cells 17(Th17), interleukin 23 (IL-23) in peripheral blood in patients with acute myeloid leukemia (AML), to analyze the relationship between Th17, IL-23 in peripheral blood and immunophenotype. METHODS: 105 patients with AML in the hospital from January 2019 to January 2021 were prospectively selected as the research subjects, the expression of Th17 and IL-23 in peripheral blood of patients with AML was detected by flow cytometry; immunophenotype was detected and counted. The relationship between the expression of Th17, IL-23 in peripheral blood and immunophenotype of AML patients was analyzed. Draw ROC curve and analyze the predictive value of Th17 and IL-23 expression in peripheral blood to immunophenotype. RESULTS: The immunophenotype results of AML patients showed that myeloid antigen, lymphoid antigen and hematopoietic stem/progenitor cell marker antigen were positive expressed for various antigens in 105 AML patients, in myeloid antigens, CD13+ accounted for the highest proportion (93.33%), in lymphoid antigens, CD56+ accounted for the highest proportion (32.38%), and in hematopoietic stem/progenitor cell marker antigens, CD38+ accounted for the highest proportion (68.57%). The expression of Th17 in peripheral blood of AML patients with CD56+, CD7+, CD34+ and human leukocyte antigen DR+(HLA-DR+) were higher than that of AML patients with CD56-, CD7-, CD34-, HLA-DR-, the expression of IL-23 in peripheral blood of AML patients with CD56+, CD34+ and HLA-DR+ were higher than that of AML patients with CD56-, CD34-, HLA-DR-, the differences were statistically significant (P<0.05); compared the expression of Th17 and IL-23 in peripheral blood between other antibody positive and negative patients, there was no statistical significant difference (P>0.05). Logistic regression analysis showed that the high expression of Th17 in patients with AML was related to the positive expression of CD56, CD7, CD34 and HLA-DR in the detection of immunophenotype, the high expression of IL-23 was related to the positive expression of CD56, CD34 and HLA-DR in the detection of immunophenotype. The ROC curve showed that the AUC of expression levels of Th17 and IL-23 in peripheral blood alone and in combination for predicting CD56+, CD34+, HLA-DR+ and Th17 in peripheral blood for predicting CD7+ were mostly 0.5-0.7, which had certain predictive value, but the predictive performance was low. CONCLUSION: Myeloid antigen, lymphoid antigen and hematopoietic hematopoietic stem/progenitor cell marker antigen are positive expressed for various antigens in AML patients, the high expression of Th17 in peripheral blood of AML patients is related to the positive expression of CD56, CD7, CD34 and HLA-DR in detection of immunophenotyping, the high expression of IL-23 is related to the positive expression of CD56, CD34 and HLA-DR in the detection of immunophenotype.

miR-206/133b Cluster: A Weapon against Lung Cancer?

Lung cancer is a deadly disease that ends numerous lives around the world. MicroRNAs (miRNAs) are a group of non-coding RNAs involved in a variety of biological processes, such as cell growth, organ development, and tumorigenesis. The miR-206/133b cluster is located on the human chromosome 6p12.2, which is essential for growth and rebuilding of skeletal muscle. The miR-206/133b cluster has been verified to be dysregulated and plays a crucial role in lung cancer. miR-206 and miR-133b participate in lung tumor cell apoptosis, proliferation, migration, invasion, angiogenesis, drug resistance, and cancer treatment. The mechanisms are sophisticated, involving various target genes and molecular pathways, such as MET, EGFR, and the STAT3/HIF-1α/VEGF signal pathway. Hence, in this review, we summarize the role and potential mechanisms of the miR-206/133b cluster in lung cancer.