BACKGROUND:Several observational studies have found a strong association between thyroid function and its related disorders and osteoporosis,but the causal relationship is unclear.OBJECTIVE:To ascertain the causal relationship between genetically predicted thyroid function and its associated disorders,as well as osteoporosis,through the Mendelian randomization analysis with extensive pooled genetic data.METHODS:Pooled data from genome-wide association studies were employed to investigate the causal relationship between thyroid function and its associated disorders and osteoporosis.This was achieved through the utilization of the inverse variance weighting method as the primary Mendelian randomization analysis method,in conjunction with the MR-Egger method,weighted median method,simple model method,and weighted model method.A two-step mediated Mendelian randomization analysis was used to calculate the mediating effect of drug-mediated thyroid dysfunction on osteoporosis and the mediating proportion.Subsequently,sensitivity analyses were conducted using the MR-Egger intercept test and MR-PRESSO to detect multiplicity,Cochran's Q test to detect heterogeneity,and leave-one-out to perform sensitivity analyses.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighting method showed that thyroid function had an effect on bone mineral density,and that thyrotropin,free triiodothyronine on bone mineral density,free thyroxine,and subclinical hyperthyroidism all had a causal effect on bone mineral density.(2)In addition,mediation analyses revealed a potential mediating effect of carbimazole in the causal relationship between hyperthyroidism and the risk of developing osteoporosis,as well as a potential mediating effect of levothyroxine sodium in the causal relationship between hypothyroidism and the risk of developing osteoporosis.(3)In conclusion,thyrotropin,which is high in the normal range,has been demonstrated to increase bone mineral density.Conversely,free triiodothyronine and free thyroxine,which are also high within the normal range,as well as subclinical hyperthyroidism,have been shown to decrease bone mineral density.The risk of developing osteoporosis is partially mediated by the pathway of taking the therapeutic medication in the context of pharmacologic treatment of thyroid dysfunction.(4)The present study primarily focuses on European population data.However,given the commonality of the genetic background and the generalizability of genome-wide data analysis methods,it is of significant importance to explore the pathogenesis of osteoporosis in the Chinese population,develop effective interventions,and provide genetic counseling.

BACKGROUND:Several observational studies have found a strong association between thyroid function and its related disorders and osteoporosis,but the causal relationship is unclear.OBJECTIVE:To ascertain the causal relationship between genetically predicted thyroid function and its associated disorders,as well as osteoporosis,through the Mendelian randomization analysis with extensive pooled genetic data.METHODS:Pooled data from genome-wide association studies were employed to investigate the causal relationship between thyroid function and its associated disorders and osteoporosis.This was achieved through the utilization of the inverse variance weighting method as the primary Mendelian randomization analysis method,in conjunction with the MR-Egger method,weighted median method,simple model method,and weighted model method.A two-step mediated Mendelian randomization analysis was used to calculate the mediating effect of drug-mediated thyroid dysfunction on osteoporosis and the mediating proportion.Subsequently,sensitivity analyses were conducted using the MR-Egger intercept test and MR-PRESSO to detect multiplicity,Cochran's Q test to detect heterogeneity,and leave-one-out to perform sensitivity analyses.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighting method showed that thyroid function had an effect on bone mineral density,and that thyrotropin,free triiodothyronine on bone mineral density,free thyroxine,and subclinical hyperthyroidism all had a causal effect on bone mineral density.(2)In addition,mediation analyses revealed a potential mediating effect of carbimazole in the causal relationship between hyperthyroidism and the risk of developing osteoporosis,as well as a potential mediating effect of levothyroxine sodium in the causal relationship between hypothyroidism and the risk of developing osteoporosis.(3)In conclusion,thyrotropin,which is high in the normal range,has been demonstrated to increase bone mineral density.Conversely,free triiodothyronine and free thyroxine,which are also high within the normal range,as well as subclinical hyperthyroidism,have been shown to decrease bone mineral density.The risk of developing osteoporosis is partially mediated by the pathway of taking the therapeutic medication in the context of pharmacologic treatment of thyroid dysfunction.(4)The present study primarily focuses on European population data.However,given the commonality of the genetic background and the generalizability of genome-wide data analysis methods,it is of significant importance to explore the pathogenesis of osteoporosis in the Chinese population,develop effective interventions,and provide genetic counseling.

Osteoporosis （OP） is a metabolic disorder characterized by microstructural deterioration of bone and increased bone fragility due to reduced bone mass， which can cause the development of bone-related diseases. This condition imposes significant economic and psychological burdens on patients. While modern medicine has extensively researched the pathogenesis of OP， it remains incompletely understood. Current clinical management primarily relies on anti-resorptive drugs and synthetic metabolic agents. However， long-term use of some medications may yield suboptimal therapeutic outcomes and lead to severe adverse reactions. Given the necessity for prolonged or lifelong treatment for OP， there is a critical need to identify highly effective， safe， and cost-effective pharmaceutical interventions. In light of evolving disease management paradigms and recent advancements in OP research， traditional Chinese medicine has demonstrated emerging advantages in addressing this condition. Through literature review， this study delves into the pathogenesis of OP from five perspectives： hormonal dysregulation， autophagy， ferroptosis， oxidative stress， and intestinal flora alteration. Furthermore， it summarizes the therapeutic efficacy and specific mechanisms of traditional Chinese medicine monomers and compound formulas against OP through regulating hormone levels， interfering with autophagy， inhibiting ferroptosis， counteract oxidative stress，and maintain intestinal flora balance. These multifaceted insights are expected to provide theoretical reference and guide future clinical traditional Chinese medicine approaches for preventing and managing OP.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Total laryngectomy is a crucial surgical intervention for patients with advanced malignant tumors of the larynx and nasopharynx. Despite its effectiveness, this procedure permanently severs the connection between the nasal cavity and the lower respiratory tract, leading to the cessation of nasal airflow. This disruption significantly impairs the patient's sense of smell and adversely affects their quality of life. Although olfactory loss is common in these patients, the assessment and rehabilitation of their olfactory function are often overlooked. This article reviews relevant literature on evaluating olfactory function and rehabilitation methods following total laryngectomy, with the aim of providing a theoretical foundation to enhance olfactory rehabilitation and overall quality of life for these patients.
Humans ; Laryngectomy/rehabilitation* ; Quality of Life ; Smell ; Laryngeal Neoplasms/surgery* ; Olfaction Disorders/etiology*

Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

Objective To develop a predictive model integrating clinical features,deep learning(DL),and radiomics based on T2-weighted imaging for prenatal assessment of postpartum hemorrhage(PPH)risk in high-risk pregnant women.Methods A total of 538 pregnant women with ultrasound-reported high-risk placenta accrete were retrospectively enrolled and divided into training,internal test,and external test cohorts.A nnUNet model was trained for automatic placental segmentation.Univariate and multivariate analyses were conducted on clinical features to identify those associated with PPH.Quantitative radiomic features were extracted from the placental region,and a random forest model was developed to predict estimated blood loss(EBL)and PPH risk.A DenseNet-based multi-task DL model was trained to predict PPH risk,EBL,and placenta previa status.Finally,a DL-radiomics ensemble(DRE)model was constructed by integrating clinical features,DL outputs,and radiomics scores.Diagnostic performance was evaluated using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results The DRE model achieved AUC values of 0.874(95%CI:0.792-0.951)and 0.836(95%CI:0.648-0.974)in the internal and external test cohorts,respectively,significantly outperforming the standalone clinical,DL,and radiomics models.Incorporation of EBL regression improved the performance of the PPH classification model,with the external test AUC increasing from 0.261-0.788 to 0.836.Conclusion The DRE model integrating DL and radiomics can efficiently predict PPH risk and assist in the clinical management of high-risk pregnancies.

Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

OBJECTIVE To investigate the ameliorative effect and potential mechanism of imperatorin(IMP)on doxorubicin(DOX)resistance in breast cancer.METHODS The effects of maximum non-toxic concentration(100 μg/mL)of IMP combined with different concentrations of DOX(12.5,25,50,75,100 μg/mL)on the proliferation of MCF-7/DOX cells were determined by MTT method.MCF-7/DOX cells were divided into blank control group(1‰ dimethyl sulfoxide),DOX group(50 μg/mL),IMP+DOX group(100 μg/mL IMP+50 μg/mL DOX)and IMP group(100 μg/mL).mRNA and protein expressions of multidrug resistance protein 1(MDR1)and multidrug resistance-associated protein l in each group were measured.The relevant pathways and targets involved in the improvement of DOX resistance in breast cancer cells by IMP were screened and validated by using transcriptome sequencing technology,along with gene ontology(GO)enrichment analyses and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.RESULTS Compared with DOX alone,the combination of IMP and DOX reduced the half inhibitory concentration of DOX on MCF-7/DOX cells from 81.965 μg/mL to 43.170 μg/mL,the reverse fold was 1.90,and the mRNA expression of MDR1 was significantly down-regulated(P＜0.05).The results of GO enrichment analyses and KEGG pathway enrichment analyses indicated that the reversal of DOX resistance in breast cancer by IMP was mainly associated with the regulation of biological processes such as detoxification,multiple biological processes,and cell killing.The main pathway involved was the p53 signaling pathway,and the key targets mainly included constitutively photomorphogenic protein 1(COP1),cyclin E1(CCNE1),growth arrest and DNA damage-inducible protein 45A(GADD45A)and GADD45B.The results of the verification experiments showed that compared with DOX group,there was a trend of up-regulation of COP1 mRNA,and significant down-regulation of CCNE1,GADD45A,and GADD45B mRNA expression in IMP+DOX group(P＜0.05).CONCLUSIONS The effect of IMP in ameliorating DOX resistance in breast cancer is related to its regulation of COP1,CCNE1,GADD45A and GADD45B targets in the p53 signaling pathway.

Objective To investigate the therapeutic potential of human umbilical cord-derived mesenchymal stem cells(hUCMSCs)in modulating the cGAS-STING-NF-κB signaling pathway in chronic intermittent hypoxia(CIH)mice.Methods Twenty-four C57BL/6 mice were divided into the control group,the model group,the hUCMSCs group and the hUCMSCs+STING agonist(DMXAA)group,with 6 mice in each group.Except for the control group,the other groups were exposed to hypoxic conditions for 8 hours daily for a total of 8 weeks to establish the CIH mouse model.After 8 weeks,mice were anesthetized for cardiac blood collection followed by euthanasia and lung tissue collection.Serum levels of IL-6,TNF-α,IL-1β and IL-17A were measured by ELISA.Pulmonary inflammatory infiltration and collagen deposition were assessed by HE and Masson staining.E-Cadherin and α-SMA expression levels were evaluated by immunohistochemistry.Expression levels of cGAS,STING and NF-κB mRNA were detected by RT-qPCR,while protein expression levels of E-Cadherin,N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB were analyzed by Western blot assay.Results Compared with the control group,levels of IL-6,IL-1β,TNF-α and IL-17A increased in the model group,inflammation and fibrosis scores increased,mRNA expression levels of cGAS,STING and NF-κB increased,and protein expression levels of N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB increased.In contrast,E-Cadherin protein expression was significantly decreased(P＜0.05).Compared with the model group,IL-6,IL-1β,TNF-α and IL-17A decreased in the hUCMSCs group,mRNA expression levels of cGAS,STING and NF-κB were decreased,protein expression levels of N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB were also decreased.Meanwhile,E-Cadherin protein expression was significantly increased(P＜0.05).STING activator DMXAA reversed the protective effects of hUCMSCs in CIH mice(P＜0.05).Conclusion Intravenous administration of hUCMSCs alleviates pulmonary inflammatory infiltration and epithelial-mesenchymal transition in mouse model of intermittent hypoxia,which may be related to the down-regulation of the cGAS-STING-NF-κBsignaling pathway.