Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients' symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity-potentially attributed to underrecognition-and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, "omics" studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.
Humans ; Immunoglobulin G4-Related Disease/metabolism* ; Immunoglobulin G/metabolism* ; Machine Learning ; Animals ; Proteomics/methods*

BACKGROUND: Despite some studies identifying a potential association between obesity and chronic obstructive pulmonary disease (COPD) risk, previous research had overlooked the dynamic nature of body weight over time, leading to inconsistent findings. The purpose of this study is to elucidate the relationship between adult weight change and COPD risk by adjusting for potential confounding factors. METHODS: We conducted a retrospective analysis using data from ten NHANES cycles (1999-2018), including adults aged 40-74 years. Weight change patterns were assessed using BMI at three time points and classified into five categories per period. Absolute weight change was also grouped into five levels. Multivariate logistic regression models, incorporating sampling weights, were used to examine associations between weight change and COPD, adjusting for demographic and lifestyle covariates. RESULTS: Compared with participants who maintained normal weight, stable obesity participants had increased risk of COPD from age 25 years to 10 years before the survey (OR = 1.45, 95% CI = 1.15 to 1.83), in the 10 years period before the survey (OR = 1.75, 95% CI = 1.47 to 2.08), and from age 25 years to survey (OR = 1.84, 95% CI = 1.46 to 2.31). Three periods indicate that weight gain in adulthood was associated with risk of COPD. In addition, substantial weight gain of more than 20 kg was associated with a higher risk of COPD. In stratified analyses, we also observed a more significant association between weight change and the risk of COPD in never smokers compared to former smokers. CONCLUSIONS Our study suggested that stable obesity and weight gain in adulthood were associated with an increased risk of COPD compared to those who maintain a normal weight, and that the association between weight gain and the incidence of COPD appears closer in patients who have never smoked.
Humans ; Pulmonary Disease, Chronic Obstructive/etiology* ; Middle Aged ; Male ; Female ; Adult ; Aged ; Retrospective Studies ; Weight Gain ; Obesity/complications* ; Risk Factors ; United States/epidemiology* ; Nutrition Surveys ; Body Mass Index

Objective To establish a simultaneous detection approach for 34 emerging contaminants(ECs)in tap water by liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Human health risk assessment was performed according to the detection results from 43 tap water samples.Methods Tap water samples were concentrated and extracted by solid phase extraction,and then blown to near dry by nitrogen at 40℃.The sample extracts were dissolved in methanol-water solution(95:5,VN)to 0.5 mL for analyzing.Agilent Jet Stream Electrospray Ionization(AJS ESI)and the multiple reaction monitoring(MRM)mode were performed for MS to acquire the data of 34 ECs.A database including precursor ion,product ion and retention times was established accordingly.Results The average linear correlation coefficients(r)of 34 kinds of ECs was 0.995 9.The limits of detection were 0.01～0.60 ng/L and the recoveries were between 60.7％and 119.8％.The intra-group precisions were between 0.05％～9.89％and the intra-day precisions were between 0.20％～14.40％for the spiked samples.The method was applied to analyze 43 tap water samples and a total of 15 ECs were detected.According to the results,the detection rate of caffeine was the highest(84％),and the concentration range was ND～74.42 ng/L.Among all the ECs detected,1,2,3-benzotriazole had the highest concentration(ND～361.15 ng/L),where detection rate was 44％.Humans may be exposed to these ECs by drinking the tap water.The human health risk assessments of 12 kinds of ECs were carried out,however,the estimated risk was negligible(risk quotient＜0.01).Conclusion The method is simple,highly sensitive and selective,and could meet the detection needs of ECs at trace level in tap water.There was no human health risk posed for ECs identified in 43 tap water samples analyzed by this method.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Paroxysmal nocturnal hemoglobinuria (PNH) is an acquired clonal hematopoietic stem cell disease caused by abnormal expression of glycosylphosphatidylinositol (GPI) on the cell membrane due to mutations in the phosphatidylinositol glycan class A(PIGA) gene. It is commonly characterized by intravascular hemolysis, repeated thrombosis, and bone marrow failure, as well as multiple systemic involvement symptoms such as renal dysfunction, pulmonary hypertension, swallowing difficulties, chest pain, abdominal pain, and erectile dysfunction. Due to the rarity of PNH and its strong heterogeneity in clinical manifestations, multidisciplinary collaboration is often required for diagnosis and treatment. Peking Union Medical College Hospital, relying on the rare disease diagnosis and treatment platform, has invited multidisciplinary clinical experts to form a unified opinion on the diagnosis and treatment of PNH, and formulated the Expert Consensus of Multidisciplinary Diagnosis and Treatment for Paroxysmal Nocturnal Hemoglobinuria (2024), with the hope of promoting the standardization of PNH diagnosis and treatment.

Objective To explore the effect of 2-aminoethoxy-diphenyl borate(2-APB)on H2O2-induced chondro-cyte apoptosis and its mechanism.Methods The experiment was divided into control group,H2O2 group,2-APB group and H2O2+2-APB group.CCK-8 method was used to detect the cell viability of each group;The effect of 2-APB on the morphological changes of chondrocytes induced by H2O2 was observed under microscopy;TUNEL meth-od and flow cytometry were used to detect chondrocyte apoptosis;Flow cytometry was used to detect Lipid reactive oxygen species(ROS);Western blot was used to detect the protein expressions of Cleaved-PARP,p-PKCα and HIF-1α in H2O2-induced cells by 2-APB;Immunofluorescence was used to detect the fluorescent expression of HIF-1α in cells induced by H2O2 by PKCα inhibitor BIM-1.Results 2-APB inhibited H2O2-induced apoptosis in chon-drocytes,and the inhibitory effect was the most significant when the concentration of 2-APB was 100 pmol/L(F=235.80,P＜0.01);22-APB could inhibit the positive rate of H2O2-induced apoptosis of chondrocytes(F=114.80,P＜0.01)and the level of ROS(F=52.99,P＜0.01).and inhibited the expression of Cleaved-PARP(F=10.10,P＜0.05),p-PKCα(F=24.56,P＜0.05)and HIF-1α proteins(F=6.85,P＜0.05).The PKCα in-hibitor BIM-Ⅰ could inhibit the increase in HIF-1α fluorescence intensity caused by H2O2.Conclusion 2-APB can inhibit chondrocytes apoptosis induced by H2O2 through the PKCα/HIF-1α pathway and thus protect chondro-cytes.

AIM:To investigate the effects and mechanism of Xin-Tong-Tai granule on oxidized low-density li-poprotein(ox-LDL),intercellular adhesion molecule-1(ICAM-1)and vascular cell adhesion molecule-1(VCAM-1)in ApoE-/-mice with atherosclerosis(AS).METHODS:A total of 72 SPF-grade healthy male ApoE-/-mice aged 6～8 weeks were fed with high-fat diet for 12 weeks to replicate AS models,and 12 SPF-grade healthy male C57BL/6J wild mice were fed with ordinary diet as the control group.After the corresponding drugs were administered for 8 weeks,the body weight and general condition of mice in each group were observed.The serum levels of total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C)and low-density lipoprotein cholesterol(LDL-C)were detected by biochemi-cal kits.The pathological structures of aorta were observed by HE and oil red O staining.The levels of serum ox-LDL and aortic ICAM-1 and VCAM-1 were detected by ELISA.The protein levels of NADPH oxidase 4(NOX4),NOX subunit p22phox,inhibitor of κB kinase-α(IKK-α),IKK-β and nuclear factor-κB(NF-κB)in aorta were detected by Western blot.RESULTS:Compared with control group,the mice in model group showed increased body weight(P<0.05),dull and lo-cal shedding hair,slow grasping response,increased serum TC,TG and LDL-C levels,decreased serum HDL-C level(P<0.05),increased the levels of serum ox-LDL and aortic ICAM-1 and VCAM-1(P<0.05),and increased protein expres-sions of NOX4,p22phox,IKK-α,IKK-β and NF-κB in aorta(P<0.05).Compared with model group,the body weight of mice in each treatment group decreased(P<0.05),the hair loss and the response flexibility were also improved.The se-rum levels of TC,TG and LDL-C decreased and HDL-C increased(P<0.05).The levels of serum ox-LDL and aortic ICAM-1(except the low-dose Xin-Tong-Tai granule group)and VCAM-1 decreased(P<0.05).The protein levels of NOX4,p22phox,IKK-α,IKK-β and NF-κB in aorta decreased(P<0.05).HE and oil red O staining showed that typical AS plaques could be seen in blood vessels of the model group,and the red-stained areas were widely distributed.The above lesions were alleviated to different degrees in each treatment group compared with model group.CONCLUSION:Xin-Tong-Tai granule reduces the atherosclerotic plaque area of ApoE-/-mice induced by high-fat diet,decreased serum TC,TG and LDL-C levels,increased HDL-C level,decreased the levels of serum ox-LDL and aorta ICAM-1 and VCAM-1,and inhibited protein expression of NOX4,p22phox,IKK-α and IKK-β in the aorta,thereby attenuating AS.

Objective To analyze the sequence of LysinB protein in bacteriophage TM4,express LysinB protein in E.coli and evaluate its bactericidal activity in vitro.Methods Bacteriophage TM4 LysinB gene was synthesized and the recombinant prokaryotic expression plasmid was constructed.The soluble protein was induced and purified.The biological characteristics of bacteriophage TM4 LysinB protein were analyzed by online software program.Mycobacterium smegmatis was cultured in 7H9 medium,and its bactericidal effect and stability were detected.Results The theoretical isoelectric point was 6.66,the instability index was 28.71,which was a stable and amphiphilic protein.In the secondary structure,The random coil,α-helix,β-fold and turn Angle accounted for 42.00％,40.25％,12.00％and 5.75％;In the tertiary structure,the content of random coil was high.The peptide composed of AA at positions 11 to 73 constituted the peptidoglycan binding domain.The regions of B cell epitopes and the strong binding peptides of T cell epitopes were predicted.LysinB protein has a significant ability to kill Mycobacterium smegmatis in vitro.PBST protein buffer with pH8.0 was beneficial to maintain the bactericidal effect of LysinB proteins during the experimental cycle.Conclusion This study expands the comprehensive understanding of the LysinB protein of mycobacterial phage TM4 lyase,and also provides reference for the development of stable storage of phage enzyme preparation and its clinical application.

Sodium alginate (SA) is a kind of natural polymer material extracted from kelp, which has excellent biocompatibility, non-toxicity, biodegradability and abundant storage capacity. The formation condition of sodium alginate gel is mild, effectively avoiding the inactivation of active substances. After a variety of preparation methods, sodium alginate microspheres are widely used in the fields of biomaterials and tissue engineering. This paper reviewed the common methods of preparing alginate microspheres, including extrusion, emulsification, electrostatic spraying, spray drying and coaxial airflow, and discussed their applications in biomedical fields such as bone repair, hemostasis and drug delivery.
Alginates ; Biocompatible Materials ; Drug Delivery Systems ; Microspheres ; Plastic Surgery Procedures