AIM: To explore the diagnostic value of 18 MHz color Doppler ultrasonography for epiretinal membrane.METHODS: A total of 44 cases(80 eyes)of patients with proposed diagnosis of cataract and vitreous opacity by fundus examination in our hospital between January 2020 and January 2022 were collected, and the affected eyes were examined by optical coherence tomography(OCT)and 18 MHz color Doppler ultrasonography, and the differences in the diagnostic sensitivity, specificity, and accuracy were compared between 18 MHz color Doppler ultrasonography and OCT for the diagnosis of epiretinal membrane.RESULTS: In the 80 eyes detected by 18 MHz color Doppler ultrasonography, 62 had epiretinal membrane and 18 had non epiretinal membrane. Totally 54 eyes were confirmed to have epiretinal membrane by OCT, 13 eyes were not diagnosed with epiretinal membrane, 5 eyes were missed diagnosis, and 8 eyes were misdiagnosed. The diagnostic consistency between 18 MHz color Doppler ultrasonography and OCT was high(Kappa=0.892, P<0.05); the 18 MHz color Doppler ultrasonography detection sensitivity of epiretinal membrane was 92%, specificity was 62%, missed diagnosis rate was 8%, misdiagnosis rate was 38%, and accuracy was 84%; compared with OCT detection, 18 MHz color Doppler ultrasonography detected a lower specificity, correct rate, positive prediction accuracy, negative prediction accuracy, and higher misdiagnosis rate(all P<0.05), and the difference in diagnostic sensitivity compared with leakage rate was not statistically significant(all P>0.05).CONCLUSION: 18 MHz color Doppler ultrasonography has some value in identifying epiretinal membrane lesions and is consistent with OCT testing.

Annexin A3（ANXA3）is a member of the membrane associated protein family. It has two subtypes of 36 kDa and 33 kDa. Its gene is located on the fourth chromosome of human. ANXA3, widely expressed in human bone marrow, lung, placenta, prostate and thyroid, is closely related to several biological processes such as exoplasmosis, vascular production, fat cell maturity, and white blood cell migration. Studies have found that ANXA3 is abnormally expressed in various diseases including cancer, cardiovascular disease and inflammation. It can regulate multiple signaling pathways such as JNK, NF-κB, PI3K/AKT, and may become a potential drug target for treatment of related diseases. The structure, functions, the link with diseases and related mechanisms of ANXA3 were summarized in this paper, which could provide reference for ANXA3 related research.

It is believed that diabetes complicated with coronary heart disease is closely related to the functional interplay of the heart， spleen， and kidneys. This paper proposed the concept of the heart-spleen-kidney as a unified system for understanding and treating the disease. At the early stage， spleen and kidney deficiency leads to the internal accumulation of phlegm， dampness， and turbid lipids， causing impaired blood circulation and vascular obstruction， so treatment should focus on tonify the kidneys and strengthening the spleen， activating blood circulation and resolving stasis， using the self-prescribed Tangxin Maiwen Formula （糖心脉温方）. As the disease progresses， further decline of spleen and kidney function results in inadequate nourishment of the heart， leading to blood stasis and the accumulation of phlegm， dampness， and turbid lipids， which may transform into pathogenic heat and toxins， causing heart damage， then treatment should emphasize on boosting qi and nourishing yin， clearing heat， activating blood and resolving toxins， using the self-prescribed Tangxin Maiqing Formula （糖心脉清方）. In advanced stages， three zang organs， the heart， spleen， and kidneys， become severely impaired， leading to mental activity fail to be nourished and abnormal cognitive functions， so treatment should focus on harmonizing the three zang organs simultaneously， using the self-prescribed Yunpi Tiaoxin Decoction （运脾调心汤）. This approach aims to provide a clinical framework for the diagnosis and treatment of diabetes with coronary heart disease.

In November 2024， the Expert Group on Alcohol-related Liver Disease released a position statement on metabolic dysfunction and alcohol-related liver disease （MetALD）. MetALD is a new subtype of steatotic liver disease and refers to MASLD patients with a relatively large amount of alcohol consumption. The position statement points out the importance of accurate evaluation of alcohol consumption and recommends to quantify alcohol consumption using standard methods and alcohol biomarkers， and a comprehensive diagnosis should be made based on metabolic risk factors. In addition， the position statement analyzes the influence of drinking pattern on the diagnosis of MetALD and recommends to consider long-term drinking history during typing. The position statement also discusses the complex association between drinking and the diseases including metabolic syndrome， hepatic steatosis， fibrosis， and type 2 diabetes mellitus， and it is pointed out that the hierarchical management of patients should be optimized based on liver histological models and noninvasive models. The position statement elaborates on the definition of MetALD， drinking assessment， the interaction between alcohol use and metabolic dysfunction， and the methods for comprehensive management of MetALD， in order to facilitate learning and provide guidance for clinicians and researchers in clinical practice.

OBJECTIVE To provide medication reference for duloxetine use in clinical settings， particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set （196 cases） and test set （85 cases） in the ratio of 7∶3. Feature selection was performed by encapsulating random forests （RF） with recursive feature elimination. Four machine learning algorithms， namely support vector machine， RF， extreme gradient boosting （XGBoost） and artificial neural network， were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination （R2）， mean absolute error （MAE） and root mean squared error （RMSE）. The feature of the selected optimal model was explained by Shapley additive explanation method， and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected， including age， ethnicity， body mass index（BMI）， etc. XGBoost showed the highest R2 （0.808）， and the lowest MAE （7.644） and RMSE （10.808）. The ranking of feature importance for predicting the blood concentration of duloxetine was as follows： BMI＞age＞other 20 feature sets （including liver and kidney function and biochemical indicators）＞daily dosage＞comorbidities＞combination therapy＞ethnicity＞white blood cell count＞hemoglobin＞height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration； BMI and age have a greater impact on the prediction of duloxetine blood concentration.

This article summarized clinical experience in differentiating and treating non-obstructive hypertrophic cardiomyopathy （HCM） based on the concept of nourishing the heart and softening the hardness. It is considered that HCM belongs to the category of "heart accumulation"， with the fundamental cause being depletion of the spleen and kidney， and phlegm-stasis accumulation， as well as qi-yin exhaustion， serving as the manifestations. Spleen and kidney depletion leads to the transformation of phlegm and stasis， which accumulate in the heart； over time， this phlegm-stasis accumulation consumes heart qi and yin， resulting in the heart being deprived of nourishment， which eventually leads to the damage to both the function and structure of heart. Therefore， the method of nourishing the heart and softening the hardness is proposed for the treatment of non-obstructive HCM. Emphasis is placed on softening hardness and dissipating masses throughout the entire treatment process， often using Modified Siwei Ruanjian Formula （四味软坚方加减）. During periods with prominent symptoms， the main treatment is boosting qi and nourishing yin to soften hardness and dissipate masses with self-made Yuxin Ruanjian Formula （自拟育心软坚方） in modifications； in stable periods， the main treatment is boosting kidney and fortifying spleen to soften hardness and dissipate masses with self-made Pishen Tongzhi Formula （脾肾同治方） in modifications.

Sophora Flavescens is the dried root of the leguminous plant Sophora Flavescens Ait. It was first published in Shen Nong's Herbal Classic. Sophora Flavescens contains a variety of active ingredients, mainly including matrine and oxymatrine, with anti-inflammatory, anti-tumor, anti-arrhythmia, disease-resistant pathogenic microorganisms and other pharmacological effects. Clinically, the compound preparations of Sophora Flavescens include Compound KuShen injection and KuShen gel and so on, which can be used to treat many types of cancers and improve skin, mucous pruritus, pain and other symptoms. Due to the poor bioavailability, the structure of matrine needs to be reformed. MASM, matrine derivative, only needs a low concentration to have a good therapeutic effect on sepsis and liver fibrosis. In this article, the chemical composition, pharmacological effects, compound preparations and structural modification of matrine were mainly discussed, aiming to provide a theoretical basis for the clinical application of Sophora Flavescens and the development of new drugs.

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.

Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.

To investigate the effect of Xuebijing injection (XBJ) on cGAS/STING pathway in alleviating sepsis-induced acute lung injury (ALI), the mouse sepsis-induced ALI model was established by cecal ligation and puncture (CLP), and the cell inflammation model was constructed by LPS stimulating RAW264.7 cells. The effects of XBJ on lung tissue injury and cGAS/STING pathway-related protein expression in septic mice were investigated by HE staining, ELISA, and Western blot. The results showed that XBJ intervention could alleviate lung tissue injury, reduce serum IL-6, TNF-α, IFN-β, IL-1-β levels, and the expression of cGAS, STING, p-TBK1, and p-IRF3 proteins in lung tissue in vivo, and reduce the mRNA level of related inflammatory factors in RAW264.7 cells and the expression of cGAS/STING pathway proteins in vitro. The results showed that XBJ could play a role in the prevention and treatment of sepsis-induced ALI by inhibiting the inflammatory response via inhibition of the activation of cGAS/STING pathway. This study provides a new molecular mechanism for the clinical prevention and treatment of sepsis-induced acute lung injury with XBJ.