This study aims to explore the mechanism through which Yishen Jiangtang Decoction(YSJTD) regulates endoplasmic reticulum stress(ERS)-mediated NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome to improve diabetic nephropathy(DN) in db/db mice. Thirty db/db mice were randomly divided into the model group, YSJTD group, ERS inhibitor 4-phenylbutyric acid(4-PBA) group, with 10 mice in each group. Additionally, 10 db/m mice were selected as the control group. The YSJTD group was orally administered YSJTD at a dose of 0.01 mL·g~(-1), the 4-PBA group was orally administered 4-PBA at a dose of 0.5 mg·g~(-1), and the control and model groups were given an equal volume of carboxylmethyl cellulose sodium. The treatments were administered once daily for 8 weeks. Food intake, water consumption, and body weight were recorded every 2 weeks. After the intervention, fasting blood glucose(FBG), glycosylated hemoglobin(HbA1c), urine microalbumin(U-mALB), 24-hour urine volume, serum creatinine(Scr), and blood urea nitrogen(BUN) were measured. Inflammatory markers interleukin-1β(IL-1β) and interleukin-18(IL-18) were detected using the enzyme-linked immunosorbent assay(ELISA). Renal pathology was assessed through hematoxylin-eosin(HE), periodic acid-Schiff(PAS), and Masson staining, and transmission electron microscopy(TEM). Western blot was used to detect the expression levels of glucose-regulated protein 78(GRP78), C/EBP homologous protein(CHOP), NLRP3, apoptosis-associated speck-like protein containing CARD(ASC), cysteinyl aspartate-specific proteinase(caspase-1), and gasdermin D(GSDMD) in kidney tissues. The results showed that compared to the control group, the model group exhibited poor general condition, increased weight and food and water intake, and significantly higher levels of FBG, HbA1c, U-mALB, kidney index, 24-hour urine volume, IL-1β, and IL-18. Compared to the model group, the YSJTD and 4-PBA groups showed improved general condition, increased body weight, decreased food intake, and lower levels of FBG, U-mALB, kidney index, 24-hour urine volume, and IL-1β. Specifically, the YSJTD group showed a significant reduction in IL-18 levels compared to the model group, while the 4-PBA group exhibited decreased water intake and HbA1c levels compared to the model group. Although there was a decreasing trend in water intake and HbA1c in the YSJTD group, the differences were not statistically significant. No significant differences were observed in BUN, Scr, and kidney weight among the groups. Renal pathology revealed that the model group exhibited more severe renal damage compared to the control group. Kidney sections from the model group showed diffuse mesangial proliferation in the glomeruli, tubular edema, tubular dilation, significant inflammatory cell infiltration in the interstitium, and increased glycogen staining and blue collagen deposition in the basement membrane. In contrast, the YSJTD and 4-PBA groups showed varying degrees of improvement in renal damage, glycogen staining, and collagen deposition, with the YSJTD group showing more significant improvements. TEM analysis indicated that the model group had extensive cytoplasmic edema, homogeneous thickening of the basement membrane, fewer foot processes, and widening of fused foot processes. In the YSJTD and 4-PBA groups, cytoplasmic swelling of renal tissues was reduced, the basement membrane remained intact and uniform, and foot process fusion improved.Western blot results indicated that compared to the control group, the model group showed upregulation of GRP78, CHOP, GSDMD, NLRP3, ASC, and caspase-1 expression. In contrast, both the YSJTD and 4-PBA groups showed downregulation of these markers compared to the model group. These findings suggest that YSJTD exerts a protective effect against DN by alleviating NLRP3 inflammasome activation through the inhibition of ERS, thereby improving the inflammatory response in db/db DN mice.
Animals ; Endoplasmic Reticulum Stress/drug effects* ; Diabetic Nephropathies/metabolism* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Inflammasomes/drug effects* ; Male ; Kidney/pathology* ; Endoplasmic Reticulum Chaperone BiP ; Humans ; Interleukin-18/genetics* ; Mice, Inbred C57BL

OBJECTIVE: To study the clinical and laboratory characteristics of monoclonal gammopathy anemia and explore the risk factors associated with anemia in monoclonal gammopathy. METHODS: A retrospective analysis was conducted on 5 539 patients who underwent immunofixation electrophoresis at the First Affiliated Hospital of Chengdu Medical College from January 2016 to February 2024. A total of 351 newly diagnosed M protein positive patients were selected as the study subjects, including 270 in the anemia group and 81 in the non-anemia group. Laboratory test results were compared between the two groups, and logistic regression models were used to analyze the risk factors for anemia. ROC curve analysis was performed to evaluate the predictive value of risk factors for anemia in monoclonal gammopathy. RESULTS: The proportion of non-anemic patients was 23.1% (81/351), with a median age of 67(60-75) years; the proportion of anemic patients was 76.9% (270/351), with a median age of 70(63-75) years. The total protein, globulin, urea, creatinine, uric acid, β₂-microglobulin, and ceruloplasmin levels in the anemia group were higher than those in the non-anemia group ( P < 0.05), while albumin, neutrophil count, lymphocyte count, monocyte count, complement C3, complement C4, haptoglobin, and transferrin levels were lower in the non-anemia group ( P < 0.05). After adjustment, multivariate logistic regression analysis shows that elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 were independent risk factors for anemia in monoclonal gammopathy ( P < 0.05). ROC curve analysis demonstrates that GLB, β₂-MG, ANC, and complement C3 had good predictive value for anemia associated with monoclonal gammopathy. CONCLUSION Elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 are independent risk factors for anemia in monoclonal gammopathy (P < 0.05). The combined assessment of these four factors has good predictive value for anemia in monoclonal gammopathy.
Humans ; Retrospective Studies ; Anemia/complications* ; Aged ; Middle Aged ; Paraproteinemias/diagnosis* ; Risk Factors ; Male ; Female ; Logistic Models ; ROC Curve ; Complement C3

OBJECTIVE: To explore the effects and mechanism of Chinese medicine Liujunzi Decoction (LJZD) on regulating microbial flora in mice with asthma flora disorder. METHODS: Thirty BALB/c female mice were divided into control, model, LJZD [3.5 g/(kg•d), by gavage], dexamethasone [DXMS, 0.7 mg/(kg•d), intraperitoneal injection], and Clostridium butyricum [CB, 230 mg/(kg•d), by gavage] groups according to a random number table, 6 mice in each group. The asthma flora disorder mice model was induced with ovalbumin (OVA). Lung and gut lesions were analyzed by hematoxylin-eosin (HE) and periodic acid-Schiff (PAS) stainings. The secretory immunoglobulin A (sIgA) protein expression in lung and gut tissues was detected by Western blot. Flow cytometry was used to detect the relative counts of GATA binding protein 3 (GATA3)/type 2 innate lymphoid cells (ILC2) in lung and gut. The levels of inflammatory factors in lung and gut tissues were detected by enzyme-linked immunosorbent assay (ELISA). Chao1 and Shannon index were used to compare microbial abundance and diversity in alveolar lavage fluid and cecal contents. The similarity or difference in the composition of mice microbial communities was analyzed through cluster analysis. The serum short-chain fatty acids (SCFAs) content was detected by ultra performance liquid chromatograph mass spectrometer (LC-MS)/MS. RESULTS: The asthma flora disorder model mice showed obvious asthma-related symptoms, but LJZD treatment effectively alleviated these symptoms. LJZD restored alveolar wall thickening, airway inflammatory cell infiltration, gut tissue structure destruction, and inflammatory cell infiltration in asthma flora disorder mice. LJZD downregulated the sIgA protein expression in mice (P<0.05). Moreover, LJZD decreased the activation of GATA3/ILC2s in lung and gut tissue (P<0.01), and reduced the levels of interleukin (IL)-5, IL-33, IL-25, IL-9 and IL-13 (P<0.01). LJZD treatment returned the abundance of microbial species and the microbial community structure of alveolar lavage fluid and cecal content in asthma flora disorder mice to the normal state. The SCFAs content and body metabolism were also improved. CONCLUSION LJZD exerted anti-asthmatic effects by improving the microbial balance of lung-gut axis and affecting systemic metabolism, consequently regulating the GATA3/ILC2s axis to impact the lung inflammatory response.
Animals ; Asthma/pathology* ; GATA3 Transcription Factor/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Gastrointestinal Microbiome/drug effects* ; Mice, Inbred BALB C ; Female ; Lung/drug effects* ; Homeostasis/drug effects* ; Inflammation/pathology* ; Lymphocytes/drug effects* ; Mice

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Aim To establish a stable hepatic stellate cell ( HSC ) -specific G protein-coupled receptor kinase 2 ( GRK2 ) knockout mice and provide the important animal model for further studying the biological function of GRK2 in HSC. Methods The loxP-labeled Grk2 gene mouse (Grk2

Cough variant asthma （CVA） is a chronic respiratory disease with cough as its main symptom. The occurrence of CVA is closely related to non-specific airway inflammation， and its pathogenesis involves environmental， genetic， immune， and other factors. In recent years， the advantages of traditional Chinese medicine （TCM） in the treatment of CVA have attracted the attention of experts and scholars in China and abroad， especially its prominent role in regulating immune balance， relieving cough symptoms in CVA patients， and reducing recurrence. T Helper cells 1 （Th1）， T helper cells 2 （Th2）， T helper cells 17 （Th17）， and regulatory T cells （Treg） are derived from CD4⁺ T cells. Immune imbalance of Th1/Th2 and Th17/Treg is a new hotspot in the pathogenesis of CVA and a potential key target in the treatment of CVA by TCM. Th cell subsets are in dynamic balance under physiological conditions， maintaining respiratory immune homeostasis in which pro-inflammatory cytokines and anti-inflammatory cytokines are balanced. Immature helper T cells （Th0） can be differentiated into Th1， Th2， Th17， Treg， and other cell subsets due to cytokine types in the microenvironment in the stage of CVA maturation. The proliferation of Th2 cells leads to eosinophilic airway inflammation. Excessive differentiation of Th17 cells induces neutrophil airway inflammation. Th1/Th2 and Th17/Treg cells are mutually restricted in number and function， and the immune imbalance of Th1/Th2 and Th17/Treg is easy to aggravate the generation of inflammatory response. Restoring immune balance is particularly important for the airway anti-inflammatory therapy of CVA. In this paper， the imbalance of Th1/Th2 and Th17/Treg and the pathogenesis of CVA were systematically expounded. Meanwhile， the latest research on the regulation of immune imbalance by TCM compound， single TCM， and its effective ingredients in the treatment of CVA was reviewed. It provides ideas and references for revealing the scientific connotation of TCM regulating immune balance therapy of CVA， as well as the development of clinical treatment and basic research of CVA.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.