Objective:To explore the application value of radiomics, deep learning, and their combined models in predicting the efficacy of radioiodine adjuvant therapy in patients with papillary thyroid cancer (PTC).Methods:A retrospective analysis was conducted on the clinical and imaging data of 131 PTC patients (38 males, 93 females; age 41(33, 48) years) who received first 131I treatment at the Affiliated Hospital of Guilin Medical University from January 2018 to March 2023. Patients were randomly divided into a training set ( n=105) and a test set ( n=26) at the ratio of 8∶2. Multivariate logistic regression analysis was used to screen clinical features to determine independent predictors affecting the efficacy of 131I therapy. Radiomics and deep learning features were extracted from the enhanced CT scans and were combined by using the extremely randomized trees (ExtraTrees) algorithm to construct radiomics, deep learning, and combined models. The predictive abilities of the models were evaluated by AUC, and the Delong test was applied to compare the difference between AUCs. Results:Higher pre-ablation stimulated thyroglobulin (ps-Tg) levels (odds ratio( OR)=1.060, 95% CI: 1.025-1.095, P=0.004) and bilateral lesions ( OR=5.085, 95% CI: 1.452-17.814, P=0.033) were independent predictors of the efficacy of 131I therapy in intermediate to high-risk PTC patients. In the training set, the radiomics model (AUC=0.853) and combined model (AUC=0.880) significantly outperformed the deep learning model (AUC=0.711; Z values: 2.48, 3.09, P values: 0.013, 0.002), while there was no statistically significant difference between the radiomics and combined models ( Z=0.51, P=0.610). In the test set, AUCs of the radiomics, deep learning, and combined models were 0.746, 0.624, and 0.876, respectively, and the AUC of the combined model was higher than that of the radiomics model or deep learning model ( Z values: 2.05, 1.99, P values: 0.040, 0.047). Conclusion:The combined model demonstrates superior performance over the standalone radiomics model and deep learning model in predicting the efficacy of 131I treatment in PTC patients.

Objective:To explore the application value of radiomics, deep learning, and their combined models in predicting the efficacy of radioiodine adjuvant therapy in patients with papillary thyroid cancer (PTC).Methods:A retrospective analysis was conducted on the clinical and imaging data of 131 PTC patients (38 males, 93 females; age 41(33, 48) years) who received first 131I treatment at the Affiliated Hospital of Guilin Medical University from January 2018 to March 2023. Patients were randomly divided into a training set ( n=105) and a test set ( n=26) at the ratio of 8∶2. Multivariate logistic regression analysis was used to screen clinical features to determine independent predictors affecting the efficacy of 131I therapy. Radiomics and deep learning features were extracted from the enhanced CT scans and were combined by using the extremely randomized trees (ExtraTrees) algorithm to construct radiomics, deep learning, and combined models. The predictive abilities of the models were evaluated by AUC, and the Delong test was applied to compare the difference between AUCs. Results:Higher pre-ablation stimulated thyroglobulin (ps-Tg) levels (odds ratio( OR)=1.060, 95% CI: 1.025-1.095, P=0.004) and bilateral lesions ( OR=5.085, 95% CI: 1.452-17.814, P=0.033) were independent predictors of the efficacy of 131I therapy in intermediate to high-risk PTC patients. In the training set, the radiomics model (AUC=0.853) and combined model (AUC=0.880) significantly outperformed the deep learning model (AUC=0.711; Z values: 2.48, 3.09, P values: 0.013, 0.002), while there was no statistically significant difference between the radiomics and combined models ( Z=0.51, P=0.610). In the test set, AUCs of the radiomics, deep learning, and combined models were 0.746, 0.624, and 0.876, respectively, and the AUC of the combined model was higher than that of the radiomics model or deep learning model ( Z values: 2.05, 1.99, P values: 0.040, 0.047). Conclusion:The combined model demonstrates superior performance over the standalone radiomics model and deep learning model in predicting the efficacy of 131I treatment in PTC patients.

Cancer stands as one of the predominant causes of mortality globally, necessitating ongoing efforts to develop innovative therapeutics. Historically, natural products have been foundational in the quest for anticancer agents. Bulbocodin D (BD) and Bulbocodin C (BC), two bibenzyls derived from Pleione bulbocodioides (Franch.) Rolfe, have demonstrated notable in vitro anticancer activity. In human lung cancer A549 cells, the IC_50s for BD and BC were 11.63 and 11.71 μmol·L^-1, respectively. BD triggered apoptosis, as evidenced by an upsurge in Annexin V-positive cells and elevated protein expression of cleaved-PARP in cancer cells. Furthermore, BD and BC markedly inhibited the migratory and invasive potentials of A549 cells. The altered genes identified through RNA-sequencing analysis were integrated into the CMap dataset, suggesting BD's role as a potential signal transducer and activator of transcription 3 (STAT3) inhibitor. SwissDock and MOE analyses further revealed that both BD and BC exhibited a commendable binding affinity with STAT3. Additionally, a surface plasmon resonance assay confirmed the direct binding affinity between these compounds and STAT3. Notably, treatment with either BD or BC led to a significant reduction in p-STAT3 (Tyr 705) protein levels, regardless of interleukin-6 stimulation in A549 cells. In addition, the extracellular signal-regulated kinase (ERK) was activated after BD or BC treatment. An enhancement in cancer cell mortality was observed upon combined treatment of BD and U0126, the MEK1/2 inhibitor. In conclusion, BD and BC emerge as promising novel STAT3 inhibitors with potential implications in cancer therapy.
Humans ; Lung Neoplasms/metabolism* ; STAT3 Transcription Factor/metabolism* ; Antineoplastic Agents/chemistry* ; A549 Cells ; Apoptosis ; Cell Line, Tumor ; Cell Proliferation

Osteoarthritis is a prevalent global joint disease, which is characterized by inflammatory reaction and cartilage degradation. Cyasterone, a sterone derived from the roots of Cyathula officinalis Kuan, exerts protective effect against several inflammation-related diseases. However, its effect on osteoarthritis remains unclear. The current study was designed to investigate the potential anti-osteoarthritis activity of cyasterone. Primary chondrocytes isolated from rats induced by interleukin (IL)-1β and a rat model stimulated by monosodium iodoacetate (MIA) were used for in vitro and in vivo experiments, respectively. The results of in vitro experiments showed that cyasterone apparently counteracted chondrocyte apoptosis, increased the expression of collagen II and aggrecan, and restrained the production of the inflammatory factors inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), a disintegrin and metalloproteinase with thrombospondin motifs-5 (ADAMTS-5), metalloproteinase-3 (MMP-3), and metalloproteinase-13 (MMP-13) induced by IL-1β in chondrocytes. Furthermore, cyasterone ameliorated the inflammation and degenerative progression of osteoarthritis potentially by regulating the nuclear factor kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) pathways. For in vivo experiments, cyasterone significantly alleviated the inflammatory response and cartilage destruction of rats induced by monosodium iodoacetate, where dexamethasone was used as the positive control. Overall, this study laid a theoretical foundation for developing cyasterone as an effective agent for the alleviation of osteoarthritis.
Animals ; Rats ; Chondrocytes ; NF-kappa B ; Iodoacetic Acid ; Inflammation ; MAP Kinase Signaling System ; Apoptosis

In order to investigate developmental coordination disorder (DCD) of kindergarten children in Zhejiang province, 200 ordinary kindergartens were randomly selected by stratified random sampling in 11 prefecture-level cities of Zhejiang Province, and 38 900 children from 1 000 classes in each grade were then randomly selected into the study from June 2019 to December 2019. The Little DCD Questionnaire and a self-designed questionnaire were used to screen the DCD of those children. There were 36 807 valid questionnaires, and 6.50% (2 391/36 807) of them were positive results. The results showed that boy, age ≤5 years, overweight or obesity, left handedness, comorbidity with motor or developmental disorders and premature infants were risk factors of DCD in children. As for parents and families, maternal gestational age<20 years, maternal overweight or obesity before pregnancy, low-middle level education of parents, direct family and low income of family were also associated with DCD in children. Therefore, it is necessary to conduct early prevention and intervention strategies targeting on identified risk factors among relevant population.

In order to investigate developmental coordination disorder (DCD) of kindergarten children in Zhejiang province, 200 ordinary kindergartens were randomly selected by stratified random sampling in 11 prefecture-level cities of Zhejiang Province, and 38 900 children from 1 000 classes in each grade were then randomly selected into the study from June 2019 to December 2019. The Little DCD Questionnaire and a self-designed questionnaire were used to screen the DCD of those children. There were 36 807 valid questionnaires, and 6.50% (2 391/36 807) of them were positive results. The results showed that boy, age ≤5 years, overweight or obesity, left handedness, comorbidity with motor or developmental disorders and premature infants were risk factors of DCD in children. As for parents and families, maternal gestational age<20 years, maternal overweight or obesity before pregnancy, low-middle level education of parents, direct family and low income of family were also associated with DCD in children. Therefore, it is necessary to conduct early prevention and intervention strategies targeting on identified risk factors among relevant population.

0bjective To construct the program of diet for adults with crohn′s disease. Methods Based on evidence, two rounds of consultation with experts using Delphi method were conducted to construct the program of diet for adults with crohn′s disease. Results The diet program consisted of 5 first-level entries,12 second-1evel entries and 33 third-level entries.The response rate of both rounds' questionnaire were 100%;the authority coefficients were 0.808 and 0.811,respectively;the coordination coefficients ranged from 0.149 to 0.212. Conclusions The Evidence-based diet program for adult with Crohn′s disease was reliable, the experts who participated were representative, had consistent opinions on items of each level for the program of diet for adults with crohn′s disease. Experts also had high levels of enthusiasm and authority, and could provide some degree guidance for diet nursing.

Objective To explore the correlation between exon region polymorphism of PPP1R3A gene and schizophrenia in Uygur Chinese population. Methods PPP1R3A gene exon region DNA amplification was performed using multiple PCR targeted capture next-generation sequencing method in 528 patients with schizophrenia and 576 healthy controls of Uyghur descent, Illumina HiSeq X Ten was used for sequencing, the symptoms of schizophrenia were assessed by positive and negative symptoms scale (PANSS). Results The allelic and genotypic distributions in rs1800000 of PPP1R3A gene between patients with schizophrenia and healthy controls had significant difference (P＜0.05), rs1799999 in genotype frequency between the female case and control groups showed significant difference (P＜0.05). Furthermore, the allelic distributions of rs8192686 between male cases and controls had significant difference (P＜0.05). Conclusion PPP1R3A gene rs1800000 may be associated with the development of schizophrenia in Uygur Chinese population; rs1799999 may be a risk factor for susceptibility of female Uygur Chinese schizophrenia; The C allele at rs8192686 may be associated with male Uygur Chinese schizophrenia.

Objective To choose a reasonable non-drug treatment program for women with postpartum breast pain. Methods Based on an adequate assessment of the patients′ condition, the clinical questions were proposed and the references were searched in a series of databases, such as Cochrane Library, PubMed, Ovid, CINAHL, CNKI, Wanfang, Weipu, CBM. Results A preliminary search of 484 articles on cabbage therapy for postpartum breast pain was carried. Through rigorous preliminary screening and screening, 11 articles were finally included, including 2 systematic reviews, 2 randomized controlled trials and 7 quasi-experiment. Through the analysis of the inclusion literature, the data was extracted, and the evidence and summary evidence were strictly evaluated.According to the results of evidence, based on the patients′ condition and the wishes of the family, the cold and hot cabbage leaves were alternately applied to the breast of 10 postpartum women with breast engorgement, the breast distended pain were improved. Conclusions The method of evidence-based nursing can provide safe and effective treatment for postpartum women with breast engorgement.

Objective:To detect the expression of BTLA on Treg cells of HIV-infected patients and investigate the role of BTLA in HIV infection.Methods: Forty-four HIV-1-infected patients (twenty-four early HIV infection,fourteen chronic HIV-infected patients with CD4+ T counts> 200 cells/μl,AIDS patients with CD4+T counts<200 cells/μl) and nine healthy people served as normal controls were selected to detect the expression of BTLA on Treg cells by flow cytometry.The correlations between BTLA expression on Treg cells and disease progression or immune activation were studied.Results: There was a higher percentage of BTLA on Treg cells in chronic HIV patients and AIDS patients than that in early HIV infected patients(P<0.05,P<0.01),and the expression of BTLA on Treg cells in AIDS patients was higher than that in normal controls(P<0.05).The expression of BTLA on Treg cells was negatively correlated with CD4+T lymphocyte counts and positively correlated with viral load (P<0.001,P<0.01).The percentage of BTLA on Treg cells was positively correlated with CD4+CD38+T lymphocytes and CD4+HLA-DR+T lymphocytes(P<0.001,P<0.001).Conclusion: Increased BTLA expression on HIV-infected Treg cells is associated with disease progression,suggesting that it may accelerate disease progression by enhancing Treg cells inhibitory function and may provide intervention information for HIV infection in the future.