Objective To analyze the relationships of serum microRNA(miR)-15,miR-16,miR-17-5p,and triglyceride-glucose index(TyG)with severity and prognosis of acute ischemic stroke(AIS).Methods A total of 136 AIS patients admitted to the Shijiazhuang Hospital of Traditional Chi-nese Medicine from April 2023 to April 2024 were enrolled.Prognosis and disease severity were as-sessed using modified Rankin Scale(mRS)and National Institutes of Health Stroke Scale(NIHSS),respectively.Based on mRS scores at 3 months post-onset,patients were divided into poor prognosis group(mRS Score＞2,n=42)and good prognosis group(mRS Score ≤ 2,n=94).Serum levels of miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores were compared between two groups.Pearson correlation analysis was used to evaluate associations of these biomarkers with NIHSS scores.Logistic regression was used to identify risk factors for poor prognosis,while receiver operating characteristic(ROC)curves was applied to assess the predictive value of individual and combined biomarkers.Results The poor prognosis group exhibited significantly higher serum miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores than the good prognosis group(t=8.634,13.171,29.018,2.687,26.432;P＜0.05).Positive correlations were observed between these biomarkers and NIHSS scores(r=0.472,0.449,0.492,0.437;P＜0.05).Logistic regression identified miR-15[OR(95％CI):3.526(2.628 to 5.859)],miR-16[1.976(1.226 to 3.017)],miR-17-5p[1.828(1.294 to 3.428)],NIHSS score[1.787(1.105 to 2.896)],TyG[1.886(1.233 to 3.284)],and homo-cysteine[1.906(1.252 to 3.794)]as independent risk factors for poor prognosis(P＜0.05).ROC analysis demonstrated that the combined model(miR-15,miR-16,miR-17-5p,TyG,and NIHSS)achieved superior predictive performance(AUC=0.877;95％CI,0.820 to 0.948)com-pared to individual biomarkers(Z＞2.527,P＜0.05).Conclusion Elevated serum miR-15,miR-16,miR-17-5p,and TyG are closely associated with AIS severity and poor prognosis.The above indicators combined with NIHSS scores can enhance predictive accuracy for unfavorable outcomes.

OBJECTIVE: To explore the clinical characteristics and genetic factors in four patients with Disorder of sex development (DSD). METHODS: Four patients who visited Tianjin Medical University General Hospital between January 2023 and January 2024, presenting with short stature, abnormal external genitalia, or infertility as their chief complaints, were selected as the study subjects. Clinical data were collected, and peripheral or umbilical cord blood samples were obtained for karyotyping analysis and low-depth whole-genome sequencing (CNV-seq). Quantitative fluorescence PCR (QF-PCR) was used to detect the sex-determining region Y (SRY) gene and azoospermia factor (AZF) on the Y chromosome, while fluorescence in situ hybridization (FISH) was employed to determine the location of the SRY gene. Whole exome sequencing (WES) was performed for genetic testing, and Sanger sequencing was used for familial validation of the candidate variants. The study procedure and protocol were approved by the Medical Ethics Committee of Tianjin Medical University General Hospital (Ethics No.: IRB2024-WZ-006). RESULTS: Case 1 had a karyotype of 45,X[22]/46,XY[8], with CNV-seq indicating a mosaic deletion of 7.44 Mb (copy number = 0.2) at Yp11.31-p11.2, a mosaic deletion of 5.32 Mb (copy number = 0.3) at Yq11.1-q11.221, and a deletion of 10.26 Mb (copy number = 0) at Yq11.221-q11.23. Y chromosome microdeletion analysis showed SRY and AZFa (+), AZFb+c (-). Case 2 had a karyotype of 45,X[12]/46,X,del(X)(q26.3)[18], with CNV-seq indicating a mosaic deletion of 132.62 Mb (copy number = 1.4) at Xp22.33-q26.3 and a deletion of 19.62 Mb (copy number = 1) at Xq26.3-q28. Case 3 had a karyotype of 46,XX, with CNV-seq showing two copies of the X chromosome and no Y chromosome. Y chromosome microdeletion analysis showed SRY (+) and AZFa+b+c (-), and FISH confirmed a translocation of the SRY gene to the terminal end of the short arm of the X chromosome. Case 4 had a karyotype of 46,XY, with CNV-seq showing one copy each of the X and Y chromosomes. Y chromosome microdeletion analysis showed SRY(+) and AZFa+b+c (+), and WES revealed a c.1103del variant in the AR gene (maternal origin), which was classified as a pathogenic variant based on the guidelines from the American College of Medical Genetics and Genomics (ACMG) (PVS1+PP1+PM2_Supporting). CONCLUSION The combined application of multiple detection techniques such as chromosomal karyotyping analysis, CNV-seq, QF-PCR, and WES can identify the genetic etiology of DSD patients, providing a basis for clinical consultation and treatment plan formulation.
Humans ; Male ; Female ; Chromosomes, Human, Y/genetics* ; Disorders of Sex Development/genetics* ; Sex-Determining Region Y Protein/genetics* ; Karyotyping ; In Situ Hybridization, Fluorescence ; Exome Sequencing ; Adult ; Child

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective:To explore the clinical characteristics and genetic factors in four patients with Disorder of sex development (DSD).Methods:Four patients who visited Tianjin Medical University General Hospital between January 2023 and January 2024, presenting with short stature, abnormal external genitalia, or infertility as their chief complaints, were selected as the study subjects. Clinical data were collected, and peripheral or umbilical cord blood samples were obtained for karyotyping analysis and low-depth whole-genome sequencing (CNV-seq). Quantitative fluorescence PCR (QF-PCR) was used to detect the sex-determining region Y ( SRY) gene and azoospermia factor ( AZF) on the Y chromosome, while fluorescence in situ hybridization (FISH) was employed to determine the location of the SRY gene. Whole exome sequencing (WES) was performed for genetic testing, and Sanger sequencing was used for familial validation of the candidate variants. The study procedure and protocol were approved by the Medical Ethics Committee of Tianjin Medical University General Hospital (Ethics No.: IRB2024-WZ-006). Results:Case 1 had a karyotype of 45, X[22]/46, XY[8], with CNV-seq indicating a mosaic deletion of 7.44 Mb (copy number = 0.2) at Yp11.31-p11.2, a mosaic deletion of 5.32 Mb (copy number = 0.3) at Yq11.1-q11.221, and a deletion of 10.26 Mb (copy number = 0) at Yq11.221-q11.23. Y chromosome microdeletion analysis showed SRY and AZFa (+ ), AZFb+ c (-). Case 2 had a karyotype of 45, X[12]/46, X, del(X)(q26.3)[18], with CNV-seq indicating a mosaic deletion of 132.62 Mb (copy number = 1.4) at Xp22.33-q26.3 and a deletion of 19.62 Mb (copy number = 1) at Xq26.3-q28. Case 3 had a karyotype of 46, XX, with CNV-seq showing two copies of the X chromosome and no Y chromosome. Y chromosome microdeletion analysis showed SRY (+ ) and AZFa+ b+ c (-), and FISH confirmed a translocation of the SRY gene to the terminal end of the short arm of the X chromosome. Case 4 had a karyotype of 46, XY, with CNV-seq showing one copy each of the X and Y chromosomes. Y chromosome microdeletion analysis showed SRY(+ ) and AZFa+ b+ c (+ ), and WES revealed a c. 1103del variant in the AR gene (maternal origin), which was classified as a pathogenic variant based on the guidelines from the American College of Medical Genetics and Genomics (ACMG) (PVS1+ PP1+ PM2_Supporting). Conclusion:The combined application of multiple detection techniques such as chromosomal karyotyping analysis, CNV-seq, QF-PCR, and WES can identify the genetic etiology of DSD patients, providing a basis for clinical consultation and treatment plan formulation.

Objective To investigate the influencing factors of adverse pregnancy outcomes in patients with recurrent spontaneous a-bortion(RSA),construct and validate the Nomogram risk prediction model.Methods A total of 219 patients with RSA admitted to the Second Affiliated Hospital of Kunming Medical University from March 2021 to March 2024 were selected and divided into the poor preg-nancy outcome group(n=129)and the good pregnancy outcome group(n=90)according to the pregnancy outcome.The case data was collected.Results There were statistically significant differences in the leukocyte esterase(LE)positive/negative,hydrogen peroxide(H2O2)positive/negative,bacterial vaginosis(BV),and gestational week of delivery between two groups(P＜0.05).The results of multivariate Logistic regression analysis showed that LE positivity(OR=10.677),H2O2 negativity(OR=3.796),and BV infection(OR=4.827)were the risk factors for adverse pregnancy outcomes in RSA patients,whereas an increase in the gestational week of deliv-ery(OR=0.294)was a protective factor.The area under the curve(AUC)of the Nomogram prediction model constructed based on this was 0.913.The validation results showed that the model had high discrimination,goodness of fit,calibration and net benefit for clinical decision-making.Conclusion Vaginal microecological imbalance and vaginal enzymatic alterations are correlate with adverse pregnancy outcomes in patients with RSA.The Nomogram prediction model constructed on the basis of LE,H2O2,BV and gestational week of deliv-ery can conveniently and efficiently assess the probability of adverse pregnancy outcomes in patients with RSA,and provide a basis for the early identification of high-risk patients and the prevention of the occurrence and development of RSA.

Objective To investigate the influencing factors of adverse pregnancy outcomes in patients with recurrent spontaneous a-bortion(RSA),construct and validate the Nomogram risk prediction model.Methods A total of 219 patients with RSA admitted to the Second Affiliated Hospital of Kunming Medical University from March 2021 to March 2024 were selected and divided into the poor preg-nancy outcome group(n=129)and the good pregnancy outcome group(n=90)according to the pregnancy outcome.The case data was collected.Results There were statistically significant differences in the leukocyte esterase(LE)positive/negative,hydrogen peroxide(H2O2)positive/negative,bacterial vaginosis(BV),and gestational week of delivery between two groups(P＜0.05).The results of multivariate Logistic regression analysis showed that LE positivity(OR=10.677),H2O2 negativity(OR=3.796),and BV infection(OR=4.827)were the risk factors for adverse pregnancy outcomes in RSA patients,whereas an increase in the gestational week of deliv-ery(OR=0.294)was a protective factor.The area under the curve(AUC)of the Nomogram prediction model constructed based on this was 0.913.The validation results showed that the model had high discrimination,goodness of fit,calibration and net benefit for clinical decision-making.Conclusion Vaginal microecological imbalance and vaginal enzymatic alterations are correlate with adverse pregnancy outcomes in patients with RSA.The Nomogram prediction model constructed on the basis of LE,H2O2,BV and gestational week of deliv-ery can conveniently and efficiently assess the probability of adverse pregnancy outcomes in patients with RSA,and provide a basis for the early identification of high-risk patients and the prevention of the occurrence and development of RSA.

Objective:To construct and evaluate the nomogram prediction model of spontaneous rupture of primary liver cancer (STRPLC), and make the web-based dynamic online nomogram.Methods:Clinical data of 346 patients with PLC treated in the Second Affiliated Hospital of Kunming Medical University were retrospectively analyzed, including 87 males and 15 females, aged 58.15±10.32 years. Single factor and multiple factor logistic regression analysis were used to screen the influencing factors of STRPLC, and the prediction model was constructed based on the nomogram. Receiver operating characteristic (ROC) curve, calibration curve and clinical decision analysis were used to evaluate the model. The web-based dynamic online nomogram was developed using the DynNom package in R4.3.1 software.Results:Multivariate logistic regression analysis showed that the independent risk factors for spontaneous rupture and hemorrhage of tumor were no history of systematic anti-tumor therapy, alpha-fetoprotein (AFP) level, tumor protrusion on liver surface, tumor length, invasion of major blood vessels, and moderate to large amount of ascites (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the prediction model constructed by this nomogram is 0.913 (95% CI: 0.884-0.943), the best cutoff value is 0.254, with a sensitivity of 0.892, and a specificity of 0.803. The calibration curve shows a good agreement between the predicted probability and the actual probability. The decision curve of the model is above the two invalid lines of " none" and " all" in the horizontal range of 0.07-0.98, and the clinical net benefit of the model is >0. Then user-friendly web-based dynamic online nomogram is constructed. Conclusion:Large tumor size, superficial location, no history of systematic anti-tumor therapy, high AFP level, invasion of major blood vessels, and moderate to large amount of ascites are independent risk factors for STRPLC. The prediction model and dynamic online nanogram constructed by this method can effectively assess the risk of STRPLC.

Objective:To explore the clinical characteristics and genetic factors in four patients with Disorder of sex development (DSD).Methods:Four patients who visited Tianjin Medical University General Hospital between January 2023 and January 2024, presenting with short stature, abnormal external genitalia, or infertility as their chief complaints, were selected as the study subjects. Clinical data were collected, and peripheral or umbilical cord blood samples were obtained for karyotyping analysis and low-depth whole-genome sequencing (CNV-seq). Quantitative fluorescence PCR (QF-PCR) was used to detect the sex-determining region Y ( SRY) gene and azoospermia factor ( AZF) on the Y chromosome, while fluorescence in situ hybridization (FISH) was employed to determine the location of the SRY gene. Whole exome sequencing (WES) was performed for genetic testing, and Sanger sequencing was used for familial validation of the candidate variants. The study procedure and protocol were approved by the Medical Ethics Committee of Tianjin Medical University General Hospital (Ethics No.: IRB2024-WZ-006). Results:Case 1 had a karyotype of 45, X[22]/46, XY[8], with CNV-seq indicating a mosaic deletion of 7.44 Mb (copy number = 0.2) at Yp11.31-p11.2, a mosaic deletion of 5.32 Mb (copy number = 0.3) at Yq11.1-q11.221, and a deletion of 10.26 Mb (copy number = 0) at Yq11.221-q11.23. Y chromosome microdeletion analysis showed SRY and AZFa (+ ), AZFb+ c (-). Case 2 had a karyotype of 45, X[12]/46, X, del(X)(q26.3)[18], with CNV-seq indicating a mosaic deletion of 132.62 Mb (copy number = 1.4) at Xp22.33-q26.3 and a deletion of 19.62 Mb (copy number = 1) at Xq26.3-q28. Case 3 had a karyotype of 46, XX, with CNV-seq showing two copies of the X chromosome and no Y chromosome. Y chromosome microdeletion analysis showed SRY (+ ) and AZFa+ b+ c (-), and FISH confirmed a translocation of the SRY gene to the terminal end of the short arm of the X chromosome. Case 4 had a karyotype of 46, XY, with CNV-seq showing one copy each of the X and Y chromosomes. Y chromosome microdeletion analysis showed SRY(+ ) and AZFa+ b+ c (+ ), and WES revealed a c. 1103del variant in the AR gene (maternal origin), which was classified as a pathogenic variant based on the guidelines from the American College of Medical Genetics and Genomics (ACMG) (PVS1+ PP1+ PM2_Supporting). Conclusion:The combined application of multiple detection techniques such as chromosomal karyotyping analysis, CNV-seq, QF-PCR, and WES can identify the genetic etiology of DSD patients, providing a basis for clinical consultation and treatment plan formulation.

Objective:To explore the clinical and genetic characteristics of a fetus diagnosed with Congenital myasthenic syndrome type 16 (CMS16).Methods:A couple who had visited Tianjin Medical University General Hospital in February 2018 due to "adverse outcome of two pregnancies" was selected as the study subject. Clinical data was gathered. Peripheral blood and amniotic fluid samples were collected and subjected to whole exome sequencing (WES). Candidate variant was verified by Sanger sequencing. Low-depth whole-genome sequencing was carried out to detect copy number variation (CNV) in the fetus.Results:The couple′s first pregnancy had resulted in a miscarriage at 27 + 5 weeks, when ultrasound had revealed pleural effusion and polyhydramnios in the fetus. Their second pregnancy was terminated at 30 + 5 weeks due to fetal hand malformations, polyhydramnios and pleural fluid. Both couple had denied family history of genetic conditions. For their third pregnancy, no CNV abnormality was detected, whilst a compound heterozygous variants, including a maternally derived c. 3172C>T (p.R1058W) and paternal c. 1431delG (p.K477fs*89) in the SCN4A gene were detected. Based on the guidelines from the American College of Medical Genetics and Genomics, the c. 3172C>T (p.R1058W) was predicted as a likely pathogenic variant (PM1+ PM2_supporting+ PP3+ PP4), whilst the c. 1431delG (p.K477fs*89) was predicted as a pathogenic variant (PVS1+ PM2_supporting+ PP4). Conclusion:The c. 3172C>T (p.R1058W) and c. 1431delG (p.K477fs*89) compound heterozygous variants of the SCN4A gene probably underlay the CMS16 in the third fetus.

Objective:To investigate the risk factors of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients in plain-sand areas and loess hilly areas of Gansu province.Methods:A total of 1 599 T2DM patients who participated in chronic disease and risk factors monitoring and basic public health service management were selected by multi-stage stratified random sampling method in the sandy plain areas and loess hilly areas of Gansu province. Questionnaire survey, physical measurement and laboratory tests were performed. Multivariate binary logistic model was used to analyze the influencing factors.Results:The prevalence of DKD was 22.1% (174/787) among T2DM patients in the sandy plain areas and 19.1%(155/812) in the loess hilly area, respectively. Hypertension ( OR=3.022), hyperuricemia ( OR=2.114) and HbA1c≥7%( OR=2.231) were the risk factors for DKD in the plain-sand areas, and the risk of DKD increased with age. In the loess hilly areas, female sex ( OR=0.379) was the protective factor for DKD; while duration of disease≥10 years ( OR=2.476), hyperuricemia ( OR=1.907), HbA1c≥7% ( OR=1.927) were the risk factors for DKD; and the risk of DKD increased with the increase of age, and decreased with the increase of per capita monthly income. Conclusions:The prevalence of DKD and its influencing factors are different between sandy plain areas and loess hilly areas in Gansu province. The prevention and treatment of hypertension should be given more attention in sandy plain areas. In addition, the screening of DKD should be conducted among T2DM patients, particularly for those with old age, hyperuricemia and HbA1c≥7% in both areas of the province.