AIM: To investigate the expression of Ficolin-3 and secreted frizzled-related protein 5(SFRP5)in the serum of patients with type 2 diabetes mellitus(T2DM)combined with diabetic retinopathy(DR)and their diagnostic value.METHODS: Prospectively selected patients with T2DM combined with DR admitted to the hospital from May 2023 to May 2025 were divided into non-proliferative and proliferative groups according to the severity of DR. Another patients with T2DM alone during the same period were selected as the T2DM group. ELISA was used to detect Ficolin-3 and SFRP5 levels; Correlation of serum Ficolin-3, SFRP5 levels, and inflammatory markers in T2DM patients with DR were analyzed using Pearson method; Logistic regression was used to analyze related influencing factors; ROC curve analysis was used to evaluate the diagnostic value of serum Ficolin-3 and SFRP5 for DR in T2DM patients.RESULTS: This study included a total of 108 patients with T2DM combined with DR(57 cases in the non-proliferative group, 51 cases in the proliferative group)and 108 cases in the T2DM group. The non-proliferative group had an average age of 59.01±6.28 y, with 34 males and 23 females. The proliferative group had an average age of 59.09±6.35 y, with 30 males and 21 females. The T2DM group had an average age of 58.96±6.18 y, with 62 males and 46 females.The serum levels of Ficolin-3, TNF-α, and IL-6 in the non-proliferative and proliferative groups were higher than those in the T2DM group(all P<0.05), while the level of SFRP5 was lower than that in the T2DM group(all P<0.05). The serum levels of Ficolin-3, TNF-α, and IL-6 in the proliferative group were higher than those in the non-proliferative group(all P<0.05), and the level of SFRP5 was lower than that in the non-proliferative group(P<0.05).Complying with Pearson correlation analysis showed that serum Ficolin-3 was negatively correlated with SFRP5(P<0.05), and both were related to TNF-α and IL-6(all P<0.001). Logistic analysis showed that the course of diabetes, SUA, HbA1c, Ficolin-3, TNF-α, and IL-6 were the risk factors for T2DM patients with DR(all P<0.05), and SFRP5 was a protective factor(P<0.05). Complying with the ROC curve, the AUC values of serum Ficolin-3 and SFRP5 alone and their combination for diagnosing T2DM patients with DR were 0.774, 0.793, and 0.864, respectively. The AUC of combined diagnosis was better than that of single diagnosis(Z=2.694, Z=2.708, both P<0.05).CONCLUSION: In patients with T2DM complicated by DR, serum levels of Ficolin-3 and SFRP5 are abnormally expressed. Both are influencing factors for T2DM with DR, and the combined detection can improve the diagnostic value in these patients.

Objective To analyze the relationship between serum angiopoietin-like protein 8(ANGPTL8)and semaphorin 3A(Sema 3A)levels and postoperative cerebral vasospasm(CVS)in patients with intracranial aneurysm(IA)rupture.Methods A total of 188 patients with IA rupture receiving surgical treatment in our hospital were prospectively selected during October 2021 and October 2023,and according to whether CVS occurred after surgery,they were classified into a spasm group(75 cases)and a non-spasm group(113 cases).Serum ANGPTL8 and Sema 3A levels were measured after admission.Spearman correlation analysis was performed to assess the correlation of the levels with CVS occurrence.Binary logistic regression analysis was applied to construct a prediction model with serum ANGPTL8 and Sema 3A as variables.ROC curve was plotted to evaluate the predictive value of the levels for postoperative CVS.Results The serum ANGPTL8 level was significantly higher while that of Sema 3A was obviously lower in the spasm group then the non-spasm group(P＜0.01).Binary logistic regression analysis showed that the levels of serum ANGPTL8 and Sema 3A were independent predictors of postoperative CVS in patients with ruptured IA(OR=1.021,95％CI:1.013-1.029,P=0.000;OR=0.980,95％CI:0.967-0.993,P=0.003).ROC curve analysis indicated that the AUC value,sensitivity and speci-ficity of the two indicators combined together in predicting postoperative CVS was 0.939(95％CI:0.894-0.969),89.33％and 89.38％,respectively,with better predictive efficiency than each indicator alone(P＜0.01).Conclusion Serum ANGPTL8 and Sema 3A levels are closely associat-ed with postoperative CVS in patients with IA rupture,and they can be used as effective indicators for early prediction of postoperative CVS.

Objective:To screen bile acid-related characteristic genes in IgA nephropathy (IgAN) based on the feature gene selection algorithm in the machine learning method, aiming to exploring the molecular biological mechanisms and biomarkers of IgAN.Methods:The gene expression data and sample grouping information of GSE93798, GSE116626 and GSE35487 were downloaded from the Gene Expression Omnibus (GEO). Bile acid-related gene sequences were obtained from the Molecular Signatures Database (MSigDB). R language was used to identify differentially expressed genes between IgAN samples and healthy control samples. Candidate genes were obtained by intersecting differentially expressed genes and bile acid-related genes. The least absolute shrinkage and selection operator (LASSO) algorithm in machine learning was used to screen the feature genes in the candidate genes as biomarkers, and the feature genes in the training set and validation set were analyzed by the rate of change index. Receiver operating characteristic curve (ROC) method was used to evaluate the diagnostic value of identified bile acid related characteristic genes for IgAN. Gene set enrichment analysis (GSEA) was used to analyze the Spearman correlation between the characteristic genes and all other genes and their related metabolic pathways. The expression of disease-characteristic genes in the kidney tissues of IgAN rats was validated by real-time PCR.Results:Gene expression information from kidney tissue samples of 20 IgAN cases and 22 healthy controls were obtained from GEO database. A total of 204 bile acid-related genes including 24 pathways were obtained from MSigDB. The results of gene differential expression analysis showed that 333 genes in the kidney tissues of IgAN patients were differentially expressed compared with those of healthy controls, including 102 up-regulated genes and 231 down-regulated genes, among which 12 differentially expressed genes were related to bile acid genes, as follows: NR1H4,SLC23A1, ALDH8A1, FABP1, ALB, SLC27A2, DIO1, CYP8B1, BBOX1, PIPOX, AKR1C1 and SLC10A2. Five characteristic genes ( NR1H4, SLC23A1, FABP1, ALB and AKR1C1) were screened by LASSO regression algorithm.ROC analysis results showed that in GSE93798 cohort genes, the AUC of NR1H4, SLC23A1, FABP1 and ALB genes with differential expression was >0.95 respectively in diagnosing IgAN, and that of AKR1C1 genes with differential expression was >0.85 in diagnosing IgAN. The gene expression data of SLC23A1 in GSE35487 cohort was missing. ROC analysis results of other four genes showed that the AUC of differential expression of ALB gene for IgAN was >0.95 respectively, that of NR1H4 gene was >0.70, and that of both FABP1 and AKR1C1 gene was >0.60. In the GSE116626 cohort genes, the AUC of five disease characteristic genes ( NR1H4, SLC23A1, FABP1, ALB, AKR1C1) for diagnosing IgAN was >0.60, respectively. These results suggested that 5 characteristic genes have certain distinguishing ability between IgAN group and control group. GSEA results were displayed that the characteristic genes were related to butyric acid metabolism, propionic acid metabolism, arginine and proline metabolism, valine leucine and isoleucine degradation, fatty acid metabolism, etc. These results suggested that five characteristic genes might be related to IgAN through the above metabolic mechanisms. The verification results of five bile acid characteristic genes in the rat model of IgAN in the kidney tissue showed that the expressions of four genes, NR1H4, SLC23A1, FABP1 and ALB, were higher than those of the control group, and there was no statistical significance in the expression of AKR1C1 gene between the two groups. Conclusions:The expression of bile acid-related characteristic genes is abnormal in the kidney tissue of IgAN patients. Four bile acid-related differentially expressed genes, NR1H4, SLC23A1, FABP1 and ALB, are expected to be biomarkers for non-invasive diagnosis and therapeutic targets .

Objective:To develop a predictive model for adverse pregnancy outcomes in patients with pregnancy-related acute kidney injury (Pr-AKI) using machine learning methods.Methods:This study was a single-center retrospective study. Patients with Pr-AKI in the First Affiliated Hospital of Xinjiang Medical University from January 2013 to December 2020 were included. Demographic characteristics, laboratory parameters, and fetal outcomes for comparative analysis between adverse pregnancy outcome group and favorable pregnancy outcome group were collected. Adverse pregnancy outcomes were defined as the occurrence of any one or more of the following events: stillbirth, perinatal death, preterm birth (reaching 28 weeks but less than 37 weeks), and low birth weight (< 2.5 kg). Conversely, an ideal pregnancy outcome was defined as the absence of any adverse pregnancy outcome events. The dataset was randomly divided into a training set (70%) and a validation set (30%). Logistic regression, decision tree, random forest, K-nearest neighbor, support vector machine, and lightweight gradient boosting algorithms were employed on the training set to develop predictive models for adverse pregnancy outcomes in patients with Pr-AKI. Receiver operating characteristic curves were plotted, and the area under the curves ( AUC) were calculated. Recall, precision, accuracy, and F1 scores were used to evaluate the predictive performance of each model. The optimal machine learning model was selected for subsequent analysis. Predictive model variables were screened and compressed by visualizing SHAP (SHapley additive exPlanations) with recursive feature regression. Furthermore, the efficacy of each model was evaluated through calibration curves and clinical decision curves. The optimal predictive model was selected for internal validation using the validation set, and data of in-hospital Pr-AKI patients (72 cases) in the hospital from January 2021 to June 2023 were collected for validation (time series validation set). Results:A total of 458 pregnancies in 441 patients were included in the present analysis, among which 277 cases (60.5%) resulted in adverse pregnancy outcomes. Utilizing the training set, 21 feature variables were selected for model construction. Among the 6 models, the random forest model performed the best ( AUC=0.860, recall=0.784, precision=0.813, F1-score=0.790, accuracy=0.806). With subsequent feature refinement proceeding, a total of 12 clinical indicators were selected to construct the model. Among them, proteinuria, systolic blood pressure, and the highest serum creatinine were the top three related factors, and the other related factors included: severe preeclampsia, baseline serum creatinine, serum albumin, diastolic blood pressure, aspartate aminotransferase, blood uric acid, white blood cell count, serum cystatin C, and cholesterol. Among various machine learning models, the random forest model demonstrated optimal net benefits and the widest clinical utility range, showing robust performance in both internal validation set ( AUC=0.80) and the time series validation set ( AUC=0.72). Conclusions:In this study, different machine learning algorithms are successfully applied to develop predictive models for adverse pregnancy outcomes in patients with Pr-AKI. The random forest model is translated into a clinically applicable tool, providing a reference for the convenient and rapid identification of adverse pregnancy outcomes in Pr-AKI patients.

Objective To perform a regression analysis on the predictive value of serum micro-RNAs(miR)for early neurological deterioration(END)in patients with branch atheromatous dis-ease(BAD).Methods A total of 134 BAD patients admitted in our department from February 2020 to February 2023 were enrolled,and according to the END status,they were divided into de-terioration group(28 cases)and non-deterioration group(106 cases).Serum levels of miR-130a,miR-210,miR-141-3p and miR-29a-3p were measured at admission.NIHSS score was used to eval-uate the END status at admission and at 7 d after admission.Binary logistic regression analysis was adopted to construct a model of above four miRs in predicting END in BAD patients.ROC curve was plotted to assess the predictive value of the four miRs alone or combined together for END.Results The serum levels of miR-130a and miR-210 were significantly higher,while those of miR-141-3p and miR-29a-3p were obviously lower in the deterioration group than the non-deterioration group(P＜0.01).Logistic regression analysis indicated that serum miR-130a,miR-210,miR-141-3p and miR-29a-3p were independent predictors of END in BAD patients(P＜0.05,P＜0.01).ROC curve analysis showed that the AUC value of the four miRs combined together in predicting END in BAD patients was 0.977(95％CI:0.936-0.995),with a sensitivity of 96.43％and a specificity of 90.57％,and the combined detection exhibited better predictive effi-ciency than each indicator alone(P＜0.01).Conclusion Serum miR-130a,miR-210,miR-141-3p and miR-29a-3p have certain value in predicting END in BAD patients,and their combined detec-tion can enhance its predictive efficiency.

OBJECTIVES: To compare perioperative and mid-term results of multiple versus single arterial off-pump coronary artery bypass grafting (OPCABG) in patients with impaired left ventricular function. METHODS: This study was conducted among 86 patients with a left ventricular ejection fraction (LVEF) <50%, who underwent OPCABG at our hospital between January, 2018 and December, 2021. Of these patients, 22 underwent OPCABG with multiple arterial grafts (multiple graft group) and 64 received a single arterial graft in OPCABG (single graft group). The preoperative, intraoperative, and perioperative data were collected, and the patients were followed up for a mean of 29.28±14.84 months. The perioperative outcomes and follow-up results of the patients were compared, and the factors influencing major adverse cardiovascular events (MACE) were identified using logistic regression. Kaplan-Meier analysis was used to compare the postoperative survival rate without MACE. RESULTS: The patients in multiple graft group had a significantly younger age than those in single graft group (P<0.05), but the other baseline data were similar between the two groups (P>0.05). Perioperative mortality, 24-h postoperative drainage volume, length of ICU stay, intubation time, and the incidence of new-onset atrial fibrillation were all similar between the two groups (P>0.05), but the rate of postoperative hypotension was significantly higher in multiple graft group (34.78% vs 11.54%, P=0.009). No significant differences were found in the incidence of MACE or echocardiographic data during the follow-up. Logistic regression identified the female sex (OR: 0.191, 95% CI: 0.049-0.075) and creatinine level (OR: 1.016, 95% CI: 1.000-1.033) as factors affecting postoperative MACE occurrence. Kaplan-Meier analysis showed no significant difference in MACE-free survival rate between the two groups. CONCLUSIONS OPCABG with multiple arterial grafts does not increase severe perioperative complications or the risk of mid-term MACE in patients with impaired left ventricular function.
Humans ; Follow-Up Studies ; Postoperative Complications/epidemiology* ; Ventricular Dysfunction, Left/physiopathology* ; Coronary Artery Bypass, Off-Pump/adverse effects* ; Male ; Female ; Ventricular Function, Left ; Middle Aged ; Risk Factors ; Aged ; Perioperative Period ; Stroke Volume

Objective:To explore the clinical and salivary metabolic component characteristics of patients with OSA combined with LPRD, and to investigate the potential co-morbid mechanisms of LPRD and OSA.Methods:A total of 98 adult patients with OSA (81 males and 17 females) who visited the Department of Otolaryngology of Peking University Third Hospital from March 2024 to May 2024 were consecutively included. The age ranged from 19 to 68 years (mean±standard deviation: 39.44±11.39 years). The severity of OSA was grouped according to the apnea-hypopnea index (AHI) [mild group (29 cases), moderate group (26 cases), and severe group (43 cases)]. Patients with a reflux symptom index score (RSI)>13 points and/or a reflux sign score (RFS)>7 points were considered LPRD positive. Among the 98 OSA patients, 48 had LPRD and 50 did not. All patients were diagnosed with OSA through out of center sleep testing(OCST) or polysomnography (PSG), and general information, laryngoscopic examination images, and RSI scales were collected. The RFS was evaluated based on the laryngoscopic examination results. Saliva samples were collected from both groups for metabolomics analysis. Chi-square test was used for categorical variable comparison, and independent sample t-test or one-way ANOVA analysis of variance was used for continuous variable comparison.Results:Stratified analysis showed that the proportion of male patients in the mild OSA group was significantly lower than that in the moderate or severe OSA groups (58.6%, 92.3%, 93.0%, χ2=16.43, P<0.001), and the BMI was significantly lower in the mild OSA group [(25.80±4.41)kg/m 2, (27.53±3.88)kg/m 2, (28.99±3.65)kg/m 2, F=6.91, P=0.002]. There was no statistically significant difference in the prevalence of LPRD among patients with different severity of OSA. The BMI of OSA patients with LPRD was higher than that of patients with OSA alone [(28.65±4.75)kg/m 2, (26.94±3.16)kg/m 2, t=-2.07, P=0.041], but there were no statistically significant differences in gender composition, age, AHI, and minimum blood oxygen saturation between the two groups. The metabolomics results of saliva samples from both groups showed significant differences in the levels of tryptophan pathway metabolites. The salivary serotonin metabolite level in patients with LPRD combined with OSA was significantly lower than that in patients with OSA alone (relative abundance 0.12±0.019 vs 0.22±0.046, t=2.04, P=0.045). Conclusion:Patients with OSA combined with LPRD have a greater BMI and significantly lower serotonin, a tryptophan metabolite component of saliva, which may be a potential co-morbidity mechanism between OSA and LPRD.

AIM: To review and summarize the current research and achievements in the field of diabetic cataract, with the aim of better identifying research hotspots and trends in this area.METHODS: Based on the relevant literature retrieved from the China National Knowledge Infrastructure, Web of Science databases, and Pubmed, a bibliometric analysis of the diabetic cataract was conducted by means of Microsoft Office Excel 2017 and CiteSpace 6.3R2. Research hotspots were subsequently synthesized after visualizations of author/country collaborations, co-citation networks of highly cited literature, keyword clustering, and emergence.RESULTS: A total of 815 Chinese and 572 English publications were finally included. Overall, this field had maintained substantial scholarly attention globally, though publications had progressively decreased since 2018. While inter-institutional collaboration in this area remained limited, a multinational collaborative network had emerged with the People's Republic of China, the United States of America, the United Kingdom, and the Kingdom of Spain as central hubs. Core research priorities in diabetic cataract consistently encompassed surgical and pharmacological interventions, pathogenesis, associated ocular/systemic complications; while international and domestic research contents aligned fundamentally in these domains, but the domestic research was unique in nursing interventions and herbal medicine-based interventions. Recent analytical trends revealed that Chinese investigations prioritized the pathogenic mechanisms of diabetic cataract, whereas international efforts concentrated on clinical therapeutics.CONCLUSION: This bibliometric analysis of diabetic cataract research literature(2000-2024)synthesizes the current advancements, research priorities, and scholarly contributions in the field, and intuitively demonstrates significant academic merit and clinical relevance, which can provide evidence-based guidance for the future research trajectories.

This article summarizesd Professor Li Zhigang's experience in treating limb dysfunction after acute disseminated encephalomyelitis(ADEM)by acupuncture.Prof.Li respected the classical theory of Chinese medicine,which is to seek the root cause of the disease,clarified the disease mechanism of"deficiency of Yangming leads to longitudinal tendons and unfavorable belt veins",and followed the principle of"treating flaccidity syndrome only by taking advantage of Yangming",and combined with the morbidity characteristics of ADEM that occurs in children,emphasized the important influence of regulating the root of innate and acquired in the treatment of the disease.The importance of regulating the essence of congenital and acquired constitution in the treatment of this disease was emphasized,taking into account the importance of regulating the mind and spirit.The main acupoints of Yangming Stomach Meridian,Large Intestine Meridian,Spleen Meridian,and Governor Vessel,together with the five main points of the lower limbs and the main points of water-inducing,all together play the role of tonifying the middle energizer,benefiting the essence and filling in the marrow,and strengthening the muscles and bones.

Animal quarantine is essential for controlling the spread of animal diseases,ensuring the healthy development of the livestock industry,and safeguarding public health and food safety.This paper reviews and organizes the development history,achievements,and current dilemmas of China's animal quarantine.It proposes further policy reflections and suggestions from the aspects of man-agement concepts,system design,and specific implementation to adapt to the requirements of the new era.