Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

An App for Android intelligent mobile phone to recite prescriptions in rhyme and learn infused pre-scriptions of traditional Chinese medicine was developed in order to meet the requirement of students majoring in traditional Chinese medicine and lovers of traditional Chinese medicine, which can show the assistant and guide of prescriptions in rhyme by different colors. An interface linked with each corresponding traditional Chinese medicine was added into the App to show its picture, properties, effect and application for the interaction between database server and mobile phone users and the aim to recite prescriptions of traditional Chinese medicine and learn tradi-tional Chinese medicine.

OBJECTIVETo identify protein-protein interaction partners of PER1 (period circadian protein homolog 1), key component of the molecular oscillation system of the circadian rhythm in tumors using bacterial two-hybrid system technique.

METHODSHuman cervical carcinoma cell Hela library was adopted. Recombinant bait plasmid pBT-PER1 and pTRG cDNA plasmid library were cotransformed into the two-hybrid system reporter strain cultured in a special selective medium. Target clones were screened. After isolating the positive clones, the target clones were sequenced and analyzed.

RESULTSFourteen protein coding genes were identified, 4 of which were found to contain whole coding regions of genes, which included optic atrophy 3 protein (OPA3) associated with mitochondrial dynamics and homo sapiens cutA divalent cation tolerance homolog of E. coli (CUTA) associated with copper metabolism. There were also cellular events related proteins and proteins which are involved in biochemical reaction and signal transduction-related proteins.

CONCLUSIONIdentification of potential interacting proteins with PER1 in tumors may provide us new insights into the functions of the circadian clock protein PER1 during tumorigenesis.

Base Sequence ; Cell Line, Tumor ; Escherichia coli ; genetics ; metabolism ; Humans ; Molecular Sequence Data ; Neoplasms ; genetics ; metabolism ; Period Circadian Proteins ; genetics ; metabolism ; Protein Binding ; Proteins ; genetics ; metabolism ; Two-Hybrid System Techniques

Objective To investigate the pathologic morphology and immunohistochemical phenotypes of sarcomatoid carcinoma(SC) of the fallopian tube.Methods One case of SC of the fallopian tube was studied under the light microscopy for morphology.Immunohistochemistry was used to detect the expression of CK,EMA,S-100,Desmin,SMA,Leu-7,CD68,actin,and Vimentin in SC tissues.Pathologic features and biological behaviors of SC were analyzed in combination with the review of literature.Results Microscopically carcinomatous and sarcomatous elements co-existed.Usually the sarcomatous element formed the bulk of the lesion.In the sarcomatous tissues,there was no distinguishable bone,cartilage,rhadomyosarcoma,etc. Immunohistochemically the strong expression of CK7,EMA and Vimentin,and the partial expression of S-100,SMA,Leu7,CD68 and actin were detected.Conclusion SC of the fallopian tube is lack of specific symptoms,and its preoperative diagnosis is difficult.B-ultrasonography,CT and MRI are helpful to the staging of SC.Final diagnosis of SC depends on pathological examination and immunohistochemistry.SC is rare,and undergoes blood metastasis in early stage.Prognosis of SC is worst.Early detection of SC is the key to improve the prognosis.