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 investigate and analyze the various reasons that affect the accuracy of ICD-9-CM-3 classifica-tion coding,identify key factors,and propose improvement strategies to enhance the accuracy and standardization level of surgical operation coding.Methods Using case analysis method,various factors affecting the accurate coding of ICD-9-CM-3 were sys-tematically listed and analyzed in detail.Through specific examples,this article analyzes the non-standard behavior of clinical physicians in writing surgical operation names,as well as the problems of coders relying on doctors to write,ignoring coding rules,and not fully reading medical records and surgical records during the coding process.It further explores how these factors lead to surgical classification errors.Results The main reasons affecting the accuracy of ICD-9-CM-3 coding include:lack of standardization in writing surgical operation names by clinical physicians,and failure to provide detailed descriptions of key ele-ments of the surgery;The coder overly relied on the doctor's written content during the coding process,failed to strictly follow the coding rules,and did not fully and deeply read and analyze medical records and surgical records,resulting in errors and devia-tions in surgical classification.Conclusion Each component of the surgical procedure name is an important factor affecting the accuracy of coding.Ensuring the completeness and accuracy of surgical operation names is crucial for improving the precision of ICD-9-CM-3 coding.In order to improve the quality of coding,clinical physicians need to enhance writing standards,while cod-ers need to strengthen their professional knowledge learning,strictly abide by coding rules,and comprehensively and meticulously review medical records and surgical records to achieve precise classification and coding of surgical operations.

Objective To analyze the value of abnormal expression of platelet membrane P-selectin(CD62p)and zonula occluden-1 in predicting the instability of carotid atherosclerotic plaques in elderly patients with cerebral infarction.Methods A total of 203 elderly patients with cerebral in-farction admitted to our department from March 2021 to July 2023 were enrolled,and based on their status of carotid plaques,they were divided into a unstable plaque group(45 cases),a stable plaque group(89 cases),a no-plaque group(69 cases).General information was collected,and the serum levels of CD62p and zonula occluden-1 were measured.The risk factors for carotid athero-sclerotic plaque instability and their predictive value were analyzed.Results Statistical differences were observed in the levels of low-density lipoprotein,homocysteine(Hcy),C-reactive protein,IL-6,fibrinogen,and intercellular adhesion molecule-1(ICAM-1)among the three groups(P＜0.05,P＜0.01),so were in the serum levels of CD62p and zonula occluden-1(P＜0.05).In the un-stable plaque group,the serum levels of CD62p and zonula occluden-1 were positively correlated with the levels of low-density lipoprotein,Hcy,C-reactive protein,IL-6,fibrinogen,and ICAM-1(P＜0.05,P＜0.01).In the stable plaque group,the serum levels of CD62p and zonula occluden-1 were positively correlated with the levels of low-density lipoprotein,Hcy,C-reactive protein,IL-6 and ICAM-1(P＜0.05,P＜0.01).Logistic regress analysis showed that the serum levels of low-density lipoprotein,Hey,C-reactive protein,IL-6,fibrinogen,ICAM-1,CD62p and zonula occlu-den-1 were risk factors for plaque instability(P＜0.01).ROC curve analysis indicated that the AUC value of CD62p and zonula occluden-1 in predicting plaque instability was 0.850 and 0.838,respectively(P＜0.01).Conclusion Abnormal expression of serum CD62p and zonula occluden-1 can effectively predict the instability of carotid atherosclerotic plaques in elderly patients with cer-ebral infarction.

Objective To analyze the value of abnormal expression of platelet membrane P-selectin(CD62p)and zonula occluden-1 in predicting the instability of carotid atherosclerotic plaques in elderly patients with cerebral infarction.Methods A total of 203 elderly patients with cerebral in-farction admitted to our department from March 2021 to July 2023 were enrolled,and based on their status of carotid plaques,they were divided into a unstable plaque group(45 cases),a stable plaque group(89 cases),a no-plaque group(69 cases).General information was collected,and the serum levels of CD62p and zonula occluden-1 were measured.The risk factors for carotid athero-sclerotic plaque instability and their predictive value were analyzed.Results Statistical differences were observed in the levels of low-density lipoprotein,homocysteine(Hcy),C-reactive protein,IL-6,fibrinogen,and intercellular adhesion molecule-1(ICAM-1)among the three groups(P＜0.05,P＜0.01),so were in the serum levels of CD62p and zonula occluden-1(P＜0.05).In the un-stable plaque group,the serum levels of CD62p and zonula occluden-1 were positively correlated with the levels of low-density lipoprotein,Hcy,C-reactive protein,IL-6,fibrinogen,and ICAM-1(P＜0.05,P＜0.01).In the stable plaque group,the serum levels of CD62p and zonula occluden-1 were positively correlated with the levels of low-density lipoprotein,Hcy,C-reactive protein,IL-6 and ICAM-1(P＜0.05,P＜0.01).Logistic regress analysis showed that the serum levels of low-density lipoprotein,Hey,C-reactive protein,IL-6,fibrinogen,ICAM-1,CD62p and zonula occlu-den-1 were risk factors for plaque instability(P＜0.01).ROC curve analysis indicated that the AUC value of CD62p and zonula occluden-1 in predicting plaque instability was 0.850 and 0.838,respectively(P＜0.01).Conclusion Abnormal expression of serum CD62p and zonula occluden-1 can effectively predict the instability of carotid atherosclerotic plaques in elderly patients with cer-ebral infarction.

Objective To investigate and analyze the various reasons that affect the accuracy of ICD-9-CM-3 classifica-tion coding,identify key factors,and propose improvement strategies to enhance the accuracy and standardization level of surgical operation coding.Methods Using case analysis method,various factors affecting the accurate coding of ICD-9-CM-3 were sys-tematically listed and analyzed in detail.Through specific examples,this article analyzes the non-standard behavior of clinical physicians in writing surgical operation names,as well as the problems of coders relying on doctors to write,ignoring coding rules,and not fully reading medical records and surgical records during the coding process.It further explores how these factors lead to surgical classification errors.Results The main reasons affecting the accuracy of ICD-9-CM-3 coding include:lack of standardization in writing surgical operation names by clinical physicians,and failure to provide detailed descriptions of key ele-ments of the surgery;The coder overly relied on the doctor's written content during the coding process,failed to strictly follow the coding rules,and did not fully and deeply read and analyze medical records and surgical records,resulting in errors and devia-tions in surgical classification.Conclusion Each component of the surgical procedure name is an important factor affecting the accuracy of coding.Ensuring the completeness and accuracy of surgical operation names is crucial for improving the precision of ICD-9-CM-3 coding.In order to improve the quality of coding,clinical physicians need to enhance writing standards,while cod-ers need to strengthen their professional knowledge learning,strictly abide by coding rules,and comprehensively and meticulously review medical records and surgical records to achieve precise classification and coding of surgical operations.

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 preliminarily investigate the applicability of a poliovirus pseudovirus-based neutralization assay in evaluating the immunogenicity of recombinant poliovirus vaccines and their in vivo potency in rats. Methods:Serum samples from rats immunized with recombinant poliovirus vaccines were tested using both the pseudovirus neutralization assay and the live-virus neutralization assay with Sabin strain. The consistency and correlation of the two methods were analyzed using the Kappa test and Spearman′s rank correlation.Results:For the neutralizing antibodies against typeⅠ, Ⅱ, and Ⅲ polioviruses, the Kappa values for consistency analysis of the two methods were 0.914, 1.000, and 0.751, respectively ( P<0.001), and the correlation coefficients ( R values) were 0.833, 0.927, and 0.859, respectively ( P<0.001). Conclusions:The test results of the two methods are consistent and show a good correlation, indicating that the pseudovirus neutralization assay can be applied to evaluating the immunogenicity of poliovirus vaccines and also can be used in rat potency tests.

Objective To explore the risk factors for retinopathy in patients with metabolic syndrome.Methods A total of 120 patients with metabolic syndrome admitted to Nanyang Central Hospital from July 2021 to July 2023 were selected as the research subjects,and the patients were categorized into the retinopathy group(n=58)and the non-retinopathy group(n=62)according to the results of fundus examination.The clinical data of patients with metabolic syndrome in both groups were collected and compared.10 mL of blood was collected from the elbow vein of patients in both groups,and the hemoglobin level was measured using a fully automatic blood cell analyzer.The levels of total cholesterol(TC),triacylglycerol(TG),high density lipoprotein-cholesterol(HDL-C),and low density lipoprotein-cholesterol(LDL-C)in the two groups were measured using an automatic biochemical analyzer.The glycosylated hemoglobin(HbA1c)level was determined by high-performance liquid chromatography.The estimated glomerular filtration rate(eGFR)was calculated using the chronic kidney disease epidemiology collaboration equation.Multivariate logistic regression analysis was used to determine the risk factors for retinopathy in patients with metabolic syndrome.Results There were no statistically significant differences in smoking history,drinking history,usage rates of hypoglycemic drugs,lipid-lowering drugs and antihypertensive drugs,systolic blood pressure,cataract,TC,TG,HDL-C,LDL-C,and eGFR between the two groups(P＞0.05).The age,disease duration,insulin usage rate,diastolic blood pressure,HbA1c level,and anemia incidence of patients in the retinopathy group were significantly higher than those in the non-retinopathy group(P＜0.05).Multivariate logistic regression analysis showed that older age,longer disease duration,insulin injection,higher diastolic blood pressure,higher HbA1c level,and lower hemoglobin level were independent risk factors for retinopathy in patients with metabolic syndrome(P＜0.05).Conclusion Old age,long disease duration,insulin injection,high systolic blood pressure,high HbA1c level,and low hemoglobin level are independent risk factors for retinopathy in patients with metabolic syndrome.

Objective To investigate the risk factors and risk prediction model of retinal detachment in patients with myopia.Methods The clinical data of myopic patients treated in our hospital from January 2021 to December 2023 were retrospectively analyzed.A total of 128 patients(128 eyes)with myopic retinal detachment who met the requirements were selected as the retinal detachment group,and 128 myopic patients(128 eyes)without retinal detachment were selected as the control group.The clinical data of patients in the two groups were collected and compared,including age,gender,di-opter,education level,affected side,whether to bear load or not,whether to vibrate or not,whether to have cataract or not,whether to have asthenopia or not,blood pressure,history of diabetes,history of ocular trauma,history of ophthal-mic surgery,and retinal thickness.Risk factors related to retinal detachment in myopia were determined through the multi-variate logistic regression analysis,and based on these factors,the risk prediction model was established.The receiver op-erating characteristic(ROC)curve was used to evaluate the predictive value of the model.Results The age,diopter,systolic blood pressure,cataract incidence,asthenopia incidence,ocular trauma and ophthalmic surgery rates of myopic patients in the retinal detachment group were significantly higher than those in the control group(all P＜0.05).The retinal thickness and choroidal thickness of myopic patients in the retinal detachment group were significantly smaller than those in the control group(both P＜0.05).The risk factors for retinal detachment in myopic patients were older age,higher diopter(absolute value),accompanied by ocular diseases or discomfort such as cataract,asthenopia and ocular trauma,thinner choroid,and thinner retina(all OR＞1,P＜0.05).The areas under the ROC curve(0.95CI)for predication of retinal de-tachment based on age,ocular disease or discomfort,diopter,choroidal thickness,and retinal thickness alone and their combination were 0.668(0.382-0.936),0.645,0.676(0.407-0.942),0.731(0.503-0.933),0.745(0.499-0.983),and 0.844(0.692-0.983),respectively.The area under the curve(0.844),sensitivity,specificity,and accuracy of the prediction model based on the combination of the five indicators were higher,indicating that this model had a better predic-tion effect.Conclusion The risk factors for retinal detachment in myopic patients are older age,higher diopter(abso-lute value),accompanied by ocular diseases or discomfort such as cataract,asthenopia and ocular trauma,thinner cho-roid,and thinner retina.The risk prediction model constructed based on these factors has a high evaluation effect.

Objective To analyze the relationship between serum a proliferation inducing ligand(APRIL)and galactin-1(Gal-1)levels with clinical features and prognosis in patients with epithelial ovarian cancer(EOC).Methods EOC patients(n=132)who admitted in Handan Hangang Hospital of Hebei Province from January 2018 to June 2020 were selected as the cancer group,and were grouped into a survival group(n=56)and a death group(n=76)based on their three-year survival after discharge.Meanwhile,healthy in-dividuals(n=68)who underwent physical examination were regarded as the healthy group.Enzyme linked immunosorbent assay was applied to detect serum APRIL and Gal-1 levels in all subjects.Clinical data of all patients were collected and their relationship with serum APRIL,Gal-1 levels and prognosis was analyzed.Ka-plan-Meier method was applied to analyze the relationship between serum APRIL and Gal-1 levels and the prognosis of EOC patients.Cox regression was applied to analyze the relevant factors affecting the prognostic death of EOC patients.The prognostic value of serum APRIL in patients with EOC was analyzed by receiver operating characteristic(ROC)curve.Results The serum APRIL and Gal-1 expression levels in the cancer group were greatly higher than those in the healthy group,and the differences were statistically significant(P＜0.05).The serum APRIL and Gal-1 levels in the death group were greatly higher than those in the sur-vival group,and the differences were statistically significant(P＜0.05).Clinical data analysis showed that se-rum APRIL and Gal-1 levels were not related to the age of EOC patients(P＞0.05),but were related to tumor location,tumor diameter,The International Febderation of Gynecology and Obstetrics(FIGO)staging,differentiation degree,lymph node metastasis,histological classification,and levels of cancer antigen 125(CA125)and human epididymis protein 4(HE4),and FIGO staging,differentiation degree,lymph node me-tastasis,histological classification,and levels of CA125 and HE4 also significantly affected the prognosis of pa-tients(P＜0.05).FIGO stage Ⅲ+Ⅳ,low differentiation,lymph node metastasis,serous tissue classification,CA125≥200 U/mL,HE4≥200 pmol/L,and high expression of APRIL and Gal-1 were all risk factors for prognostic death in EOC patients(P＜0.05).The three-year survival rate of APRIL high expression patients(25.37％)was greatly lower than that of APRIL low expression patients(60.00％),and the three-year sur-vival rate of Gal-1 high expression patients(27.94％)was greatly lower than that of Gal-1 low expression pa-tients(57.81％),,and the differences were statistically significant(P＜0.05).ROC curve showed that the ar-ea under the curve(AUC)of the combination of APRIL and Gal-1 for predicting the prognosis was 0.925,which was significantly higher than that of the diagnosis of the two alone,(Zcombined-APRIL=4.061,P＜0.001,Zcombined-Gal-1=3.424,P＜0.001),with a sensitivity and specificity of 86.84％and 83.93％,respectively.Conclu-sion The expression levels of serum APRIL and Gal-1 are greatly elevated in EOC patients,and their levels are related to tumor location,tumor diameter,FIGO staging,lymph node metastasis,histological classifica-tion,CA1 25,HE4,and differentiation degree.The expression levels of both have great application value in the prognosis evaluation of EOC patients.