Chronic liver diseases are a group of diseases in which the liver is subjected to a variety of injuries over a long period of time， resulting in irreversible pathological changes that last longer than 6 months. Emodin （EMO） is a natural anthraquinone derivative derived from Rheum officinale， and its pharmacological effect has been extensively studied， exhibiting a variety of biological properties and involving multiple signaling molecules and pathways. Western medicine or surgical treatment is currently the main treatment regimen for chronic liver diseases， and the advance in treatment is limited by various reasons such as side effects and high costs. Due to its natural origin and efficacy， EMO has unique advantages in the treatment of chronic liver diseases and has now become a research hotspot. This article summarizes the therapeutic effect of EMO on chronic liver diseases and its mechanism， in order to provide a certain scientific basis for the traditional Chinese medicine treatment of chronic liver diseases and the development of drugs in clinical practice.

OBJECTIVE To focus on the classic NOD-like receptor protein 3 （NLRP3）/Caspase-1/gasdermin D （GSDMD） pyroptosis pathway and explore the mechanism by which Huatan qushi huoxue formula （HQHF） inhibits macrophage pyroptosis to ameliorate metabolic dysfunction-associated steatohepatitis （MASH）. METHODS RAW264.7 cells were divided into 5 groups： Control group （10% blank serum）， Model group [10% blank serum+5 μg/mL lipopolysaccharide （LPS）]， HQHF-L group （2.5% drug-containing serum+7.5% blank serum+5 μg/mL LPS）， HQHF-M group （5% drug-containing serum+5% blank serum+5 μg/mL LPS）， and HQHF-H group （10% drug-containing serum+5 μg/mL LPS）. After 24 h of routine culture post-administration， cells and supernatants were collected for assays. Cell morphology was observed via scanning electron microscopy and phase-contrast microscopy； localization and expression of gasdermin D-N （GSDMD-N） were observed by immunofluorescence. Interleukin-1β （IL-1β） and IL-18 contents in supernatants were detected by ELISA； mRNA and protein expressions of NLRP3， Caspase-1， and GSDMD were measured using real-time PCR and Western blot. RESULTS Compared with the Control group， the Model group showed typical pyroptotic morphology （cell membrane bulging and pore formation）， increased aggregation and fluorescence intensity of GSDMD-N on the cell membrane （ P ＜0.05）， significantly increased the contents of IL-1β and IL-18 in cell supernatants （ P ＜0.05）， and significantly up-regulated mRNA and protein expressions of NLRP3， Caspase-1， and GSDMD in cells （ P ＜0.05）. Compared with the Model group， the HQHF-L， HQHF-M and HQHF-H groups showed improved pyroptotic morphology， reduced membrane localization and significantly weakened fluorescence intensity of GSDMD-N （ P ＜0.05）， significantly decreased the contents of IL-1β and IL-18 in cell supernatants （ P ＜0.05）， and significantly down-regulated mRNA and protein expressions of NLRP3， Caspase-1， and GSDMD in cells （ P ＜0.05）. CONCLUSIONS HQHF inhibits LPS-induced macrophage pyroptosis， and its mechanism of improving MASH may be associated with the suppression of the activation of the classical NLRP3/Caspase-1/GSDMD pyroptosis pathway.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

ObjectiveTo investigate the association between serum creatinine/cystatin C ratio （CCR） and nonalcoholic fatty liver disease （NAFLD） based on the NHANES database， and to evaluate the potential significance of CCR as an indicator reflecting the metabolic status of the body. MethodsBased on the data from the NHANES database in 1999‍ ‍—‍ ‍2004， a total of 4 217 participants were enrolled and divided into NAFLD group with 1 726 participants and non-NAFLD group with 2 491 participants. CCR was compared between the two groups， and the association between CCR and NAFLD was analyzed. The Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The multivariate logistic regression model was used to investigate the association between CCR and NAFLD； CCR was divided into 4 groups based on quartiles， and odds ratio （OR） and 95% confidence interval （CI） in the regression model was calculated with the first quartile as reference. In addition， the restricted cubic spline analysis was used to investigate whether there was a non-linear relationship between CCR and NAFLD， and interaction items were introduced into the Logistic regression model to perform an interaction analysis. Subgroup analyses were performed based on the stratification of variables to investigate the difference in the association between CCR and NAFLD in different populations. ResultsThe non-NAFLD group had a significantly higher CCR than the NAFLD group （Z=-4.76，P<0.01）. The Logistic regression analysis showed that in model 1 without adjustment of variables， CCR was negatively associated with NAFLD （OR=0.993，95%CI：0.989‍ ‍—‍ ‍0.996，P<0.01）， and in model 3 with adjustment of all variables， CCR was still negatively associated with NAFLD （OR=0.986，95%CI：0.981‍ ‍—‍ ‍0.991，P<0.01）. The analysis of CCR based on quartiles showed a significant association between the increase in CCR and the reduction in the risk of NAFLD. In model 3， compared with the individuals with the lowest quartile of CCR， the individuals with the highest quartile of CCR had a significantly lower risk of NAFLD （OR=0.426，95%CI：0.316‍ ‍—‍ ‍0.574，P<0.01）. Further interaction and subgroup analyses showed that the interaction between CCR and age/sex had a statistical significance （P_interaction<0.01 and P_interaction=0.04）. The subgroup analysis based on age showed a more significant association between CCR and NAFLD in the middle-aged population （≤60 years） （OR=0.982，95%CI：0.976‍ ‍—‍ ‍0.987）， and the subgroup analysis based on sex showed a stronger association between CCR and NAFLD in women （OR=0.979，95%CI：0.972‍ ‍—‍ ‍0.986）. ConclusionThis study shows a significant negative association between CCR and NAFLD， and such association is more significant in middle-aged individuals and women.

Epigenetic mechanisms play a crucial role in the development and progression of nonalcoholic fatty liver disease （NAFLD）， especially among lean individuals. The research on related epigenetic mechanisms has provided new clues and directions for revealing the underlying causes and treatment strategies of NAFLD. This article introduces the role of epigenetics in the development and progression of NAFLD among lean individuals in recent years， analyzes the latest research advances in the epigenetics of NAFLD in this population， and briefly describes the basic concepts of epigenetics， including DNA methylation， histone modifications， and non-coding RNA regulation. This article also discusses how epigenetic alterations impact the pathogenesis， disease progression， and treatment strategies of NAFLD in lean individuals.

BackgroundModified electroconvulsive therapy （MECT） is a common front-line strategy widely used in psychiatric practice， and the optimal first stimulus dosage in MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold （IST）. However， previous studies on the influencing factors of IST have mostly suffered from limitations such as small sample sizes and single-dimensional research perspectives. ObjectiveTo explore the factors influencing IST in MECT for patients with mental disorders， so as to provide references for stimulus dosing strategies in MECT for the patients. MethodsA retrospective study was used to include 1 446 inpatients fulfilling the diagnostic criteria for any specific mental disorder listed in the ICD-10 and receiving MECT at Shandong Daizhuang Hospital from January 1， 2021 to August 1， 2023. Their general and clinical data were collected， including IST， psychiatric diagnostic categories， gender， ethnicity， age， body weight， body mass index （BMI）， course of disease， family history of psychiatric disorders， first episode status， use of antiepileptic drugs the day before treatment， use of benzodiazepines the day before treatment， and previous MECT treatment history. Pearson correlation analysis was utilized to test the correlation of IST with age， height， body weight， BMI， and course of disease， and stepwise multivariate linear regression analysis was performed to identify the factors affecting IST. ResultsIST yielded statistical difference among patients in terms of gender， first episode status， use of antiepileptic drugs the day before treatment， and use of benzodiazepines the day before treatment （t=2.256， -3.059， -2.136， -3.006， P<0.05 or 0.01）. IST in patients of different ages and psychiatric diagnostic categories also demonstrated statistical difference （F=913.120， 6.212， P<0.01）. Within young population， IST varied significantly based on the psychiatric diagnostic categories （F=2.986， P<0.05）. Correlation analysis indicated that IST was positively correlated with age， body weight， BMI and course of disease （r=0.886， 0.055， 0.184， 0.456， P<0.05 or 0.01）， and negatively correlated with height （r=-0.183， P<0.01）. Stepwise multivariate linear regression analysis revealed that age， gender， and body weight were influencing factors of IST （β=0.888， -0.049， -0.035， P<0.01）. ConclusionsAge， gender and body weight may be factors influencing IST in MECT for patients with mental disorders. ［Funded by Key R&D Plan Projects of Jining City in 2024 (number, 2024YXNS202）］

Objective: To develop a simple digital chylous plasma device and validate its ability to accurately, standardly, and non-destructively determine chylous plasma in blood banks and clinical transfusions in hospitals. Methods: A digital chylous plasma assessment device was designed and manufactured. This device was used to measure the chylous degrees of chylous plasma samples before freezing, after freeze-thawing, before viral inactivation, and after viral inactivation. The measured chylosity index values were categorized according to the requirements specified in Appendix A of the Chinese national standard GB 18469-2001 "Quality Requirements for Whole Blood and Blood Components". This process established a digital standard for chylous plasma, enabling the identification of severe, moderate and mild chylous plasma, and non-chylous plasma. Results: The initial simple product of the digital chylous assessment device was successfully designed and manufactured. There was no significant difference in the degree of chylous plasma between pre-freezing 468.11±217.73 lux and post-thawing 538.91±273.39 lux of chylous plasma (P>0.05), or between pre-viral inactivation 858.33±387.79 lux and post-viral inactivation 928.33±166.51 lux of chylous plasma (P>0.05). The median of chylous degree values for plasma chylous index grades 0 to 6 were 45 lux, 250 lux, 620 lux, 835 lux, 1 130 lux, 1 390 lux, and 1 700 lux, respectively. The defined cutoff values/ranges for the chylous degree values corresponding to plasma chylous index grade 0 to 6 were ≤125 lux, 126-465 lux, 466-740 lux, 741-1 000 lux, 1 001-1 233 lux, 1 234-1 560 lux, and ≥1 561 lux. Conclusion: This study successfully developed the initial product of the digital chylous device and established digital standards for classifying chylous plasma. The device demonstrates the potential to meet the needs for assessment of chylous plasma in both blood banks and clinical transfusions in hospitals, thereby promoting the development and application of standardized, non-destructive chylous plasma assessment technology.

BACKGROUND: Chronic kidney disease (CKD) is associated with common pathophysiological processes, such as inflammation and fibrosis, in both the heart and the kidney. However, the underlying molecular mechanisms that drive these processes are not yet fully understood. Therefore, this study focused on the molecular mechanism of heart and kidney injury in CKD. METHODS: We generated an microRNA (miR)-26a knockout (KO) mouse model to investigate the role of miR-26a in angiotensin (Ang)-II-induced cardiac and renal injury. We performed Ang-II modeling in wild type (WT) mice and miR-26a KO mice, with six mice in each group. In addition, Ang-II-treated AC16 cells and HK2 cells were used as in vitro models of cardiac and renal injury in the context of CKD. Histological staining, immunohistochemistry, quantitative real-time polymerase chain reaction (PCR), and Western blotting were applied to study the regulation of miR-26a on Ang-II-induced cardiac and renal injury. Immunofluorescence reporter assays were used to detect downstream genes of miR-26a, and immunoprecipitation was employed to identify the interacting protein of LIM and senescent cell antigen-like domain 1 (LIMS1). We also used an adeno-associated virus (AAV) to supplement LIMS1 and explored the specific regulatory mechanism of miR-26a on Ang-II-induced cardiac and renal injury. Dunnett's multiple comparison and t -test were used to analyze the data. RESULTS: Compared with the control mice, miR-26a expression was significantly downregulated in both the kidney and the heart after Ang-II infusion. Our study identified LIMS1 as a novel target gene of miR-26a in both heart and kidney tissues. Downregulation of miR-26a activated the LIMS1/integrin-linked kinase (ILK) signaling pathway in the heart and kidney, which represents a common molecular mechanism underlying inflammation and fibrosis in heart and kidney tissues during CKD. Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes. CONCLUSIONS Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. This is attributed to its ability to regulate the LIMS1/ILK signaling pathway, which represents a common molecular mechanism in both heart and kidney tissues.
Animals ; MicroRNAs/metabolism* ; Angiotensin II/toxicity* ; Mice ; Renal Insufficiency, Chronic/chemically induced* ; Mice, Knockout ; Disease Models, Animal ; Male ; Signal Transduction/genetics* ; LIM Domain Proteins/genetics* ; Mice, Inbred C57BL ; Cell Line ; Humans

Reactive astrocytes, which exhibit a correlation with the degeneration of dopaminergic neurons, are present in a considerable number during the progression of Parkinson's disease (PD). However, the underlying factors shaping astrocyte reactivity and neuroinflammation in PD remain inadequately elucidated. Here, we demonstrate that fibroblast growth factor 7 (FGF7)/FGF receptor 2 (FGFR2) autocrine signaling intensifies astrocyte reactivity and inflammation. Genetic deletion of Arrb2, β-Arrestin2 encoding gene, led to escalated astrocyte reactivity in MPTP-treated mice, which was further substantiated in astrocyte-specific Arrb2 knockdown mice. RNA sequencing profiling of Arrb2 knockout astrocytes identified Fgf7 as a critical effector of astrocyte reactivity. Subsequently, conditional knockdown of Fgf7 and its receptor Fgfr2 in astrocytes elicited advantageous effects for MPTP-treated mice by restraining the inflammatory phenotypic transition of reactive astrocytes. Furthermore, deletion of astrocytic Fgf7 mitigated MPTP-induced pathology in Arrb2 knockout mice. Mechanistically, STAT1 was distinguished as the transcription factor suppressing Fgf7 expression, while β-Arrestin2 counteracted the proteasomal degradation of STAT1 by binding to RNF220, an E3 ubiquitin ligase for STAT1. More importantly, selectively engaging dopamine D2 receptor (Drd2)/β-Arrestin2-biased signaling using the agonist UNC9995 exhibited therapeutic potential in MPTP-treated mice via moderation of astrocytic FGF7 production, thereby restoring balance in astrocyte reactivity. Collectively, our study bridges a crucial knowledge gap by elucidating the novel functions of FGF family members within the central nervous system, particularly within the context of PD. The autocrine signaling of FGF7/FGFR2 represents a novel mechanism and a potential druggable target for modulating astrocyte-derived inflammation.