Objective:To investigate the relationship between the radioresistance of anaplastic thyroid cancer (ATC) and the induction of epithelial-mesenchymal transition (EMT).Methods:Firstly, the radiotherapy sensitivity of differentiated thyroid cancer cells (TPC-1, FTC-133) and ATC cells (CAL-62, 8305C), and the protein levels of E-cadherin, N-cadherin and vimentin proteins after 6 Gy irradiation were detected. The changes in transcriptional levels before and after 4 Gy X-ray radiation of ATC cells were analyzed using mRNA sequencing. Then, the ATC radio-resistant cell models were constructed and validated, and the cell line with the highest radio-resistance was selected for subsequent experiments. Radio-resistant cells were classified into the control group (no treatment), EMT-inhibitor group (EMT-inhibitor-1 pre-treatment), Vactosertib group [transforming growth factor-β(TGF-β) inhibitor Vactosertib pre-treatment), and si-Snail group (knockdown of Snail gene by siRNA transfection), respectively. The expression level of EMT related proteins and TGF-β/Smad signaling pathway related proteins, the cloning efficiency, and the phosphorylated-histone H2A family member X (γH2AX) positive cells rate in the treatment groups and the control group were detected by Western blotting, clone formation assay, immunofluorescence, respectively, reflecting the changes in EMT level and DNA repair ability. Comparison between two groups was performed by Dunnett t-test. Comparison among multiple groups was conducted by one-way ANOVA. Results:The radiosensitivity of ATC cells were lower than that of differentiated thyroid cancer cells. After irradiation, the expression level of E-cadherin was low, those of N-cadherin and vimentin were high, EMT level was increased, and the expression levels of TGF-β/Smad signaling pathway-associated proteins were up-regulated in ATC cells. After use of EMT inhibitor, Vactosertib and Snail knockdown, the expression levels of EMT-associated proteins were down-regulated, cell survival fraction was declined, γH2AX positive cell rate was increased, DNA damage repair ability was weakened and the radiosensitivity was enhanced in radiotherapy-resistant ATC strains. Conclusions:The level of radiotherapy resistance in ATC cells is positively correlated with the EMT level, and the mechanism of radiotherapy resistance is related to the activation of the TGF-β/Smad/Snail pathway after irradiation.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective:To investigate the relationship between the radioresistance of anaplastic thyroid cancer (ATC) and the induction of epithelial-mesenchymal transition (EMT).Methods:Firstly, the radiotherapy sensitivity of differentiated thyroid cancer cells (TPC-1, FTC-133) and ATC cells (CAL-62, 8305C), and the protein levels of E-cadherin, N-cadherin and vimentin proteins after 6 Gy irradiation were detected. The changes in transcriptional levels before and after 4 Gy X-ray radiation of ATC cells were analyzed using mRNA sequencing. Then, the ATC radio-resistant cell models were constructed and validated, and the cell line with the highest radio-resistance was selected for subsequent experiments. Radio-resistant cells were classified into the control group (no treatment), EMT-inhibitor group (EMT-inhibitor-1 pre-treatment), Vactosertib group [transforming growth factor-β(TGF-β) inhibitor Vactosertib pre-treatment), and si-Snail group (knockdown of Snail gene by siRNA transfection), respectively. The expression level of EMT related proteins and TGF-β/Smad signaling pathway related proteins, the cloning efficiency, and the phosphorylated-histone H2A family member X (γH2AX) positive cells rate in the treatment groups and the control group were detected by Western blotting, clone formation assay, immunofluorescence, respectively, reflecting the changes in EMT level and DNA repair ability. Comparison between two groups was performed by Dunnett t-test. Comparison among multiple groups was conducted by one-way ANOVA. Results:The radiosensitivity of ATC cells were lower than that of differentiated thyroid cancer cells. After irradiation, the expression level of E-cadherin was low, those of N-cadherin and vimentin were high, EMT level was increased, and the expression levels of TGF-β/Smad signaling pathway-associated proteins were up-regulated in ATC cells. After use of EMT inhibitor, Vactosertib and Snail knockdown, the expression levels of EMT-associated proteins were down-regulated, cell survival fraction was declined, γH2AX positive cell rate was increased, DNA damage repair ability was weakened and the radiosensitivity was enhanced in radiotherapy-resistant ATC strains. Conclusions:The level of radiotherapy resistance in ATC cells is positively correlated with the EMT level, and the mechanism of radiotherapy resistance is related to the activation of the TGF-β/Smad/Snail pathway after irradiation.

Background and purpose:Colorectal cancer(CRC)is one of the common malignancies,but the mechanism by which it develops resistance to drug remains unclear.The tumor microenvironment(TME),especially cancer-associated fibroblast(CAF),plays an important role in the occurrence,development and drug resistance of tumors.This study aimed to investigate the effect of inflammatory cancer-associated fibroblasts(iCAF)on drug resistance in CRC cells and its possible mechanism.Methods:The primary CAFs were collected from CRC patients underwent surgery in Putuo Hospital,Shanghai University of Traditional Chinese Medicine from Aug.2022 to Sep.2022,and the primary cells were sorted according to the surface marker of CAF[approved by the Ethics Committee of Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine:PTEC-A-2023-5(S)-1],platelet derived growth factor receptor alpha(PDGFRA),to screen iCAF.Human intestinal fibroblast(HIF)and iCAF cells were cultured using serum-free medium to obtain conditioned medium.According to the treatment method,colon cancer cells were divided into control group(no treatment),experimental group 1(treated with HIF-CM)and experimental group 2(treated with iCAF-CM).We observed the changes in the survival rate and apoptotic rate of CRC cells,the changes in protein and mRNA levels and the effect on the Wnt/β-catenin signaling pathway after stimulation with HIF-CM or iCAF-CM.Results:After iCAFs stimulation,the half inhibition concentration(IC50)of CRC cells was higher compared with the control group and HIF-CM group(P＜0.05).Compared with the control group and HIF-CM group,the apoptotic rate of tumor cells in iCAF-CM group decreased significantly,the expression of caspase-3 was decreased,and the expressions of Bcl-2,Bcl-xL and survivin were increased(P＜0.05).The Wnt/β-catenin signaling pathway was activated in the iCAF-CM group.Conclusion:iCAFs can mediate drug resistance in CRC cells,and the mechanism is related to the activation of Wnt/β-catenin signaling pathway.

Sepsis-induced cardiomyopathy is a reversible myocardial dysfunction due to sepsis, which may be severe enough to complicate cardiogenic shock, and without effective drug and with high mortality during the acute phase. A case of sepsis-induced cardiomyopathy complicated with cardiogenic shock was treated in the intensive care unit (ICU) of Shunde Hospital Southern Medical University. A 37 years old female patient was admitted because she had suffered repeated fever for 5 days, chest tightness and abdominal pain for 3 days. At the same time, there were severe cardiac depression and abdominal infection, which could be explained by the monismtheory of sepsis cardiomyopathy. The cardiogenic shock patient was not improved after antibiotic therapy and hemodynamic support, extracorporeal membrane oxygenation (ECMO) support was prescribed. The circulation failure was smoothly got through with ECMO and was transfer from ICU to ordinary ward. Computed tomographic angiography (CTA) of abdominal aorta and colonoscopy indicated lesions of small intestine. The diagnosis of infection and bleeding in ileum diverticulum was confirmed during the operation and the lesions was removed. She recovered and was discharged 1 week after operation. Through the case review, we aim to improve the awareness of sepsis-induced cardiomyopathy and the value of ECMO support in cardiogenic shock.

Objective To investigate the distribution and drug resistance of pathogens in intensive care unit (ICU) so as to provide scientific basis for antibiotic adoption and the prevention and control of nosocomial infections. Methods The various specimens collected from the patients admitted into ICU in the First People's Hospital of Shunde Affiliated to the South Medical University from January 2007 to December 2014 were used to isolate the pathogens that might cause nosocomial infections and retrospectively analyze their clinical distribution and drug resistance. Kirby-Bauer paper diffusion and minimal inhibitory concentration (MIC) methods were applied to test the drug sensitivity, and according to National Committee for Clinical Laboratory Standards/Clinical and Laboratory Standards Institute (NCCLS/CLSI) standard, the results were identified.Results The sputum was the major specimen source in ICU, accounting for 68.8%, followed by urine (12.4%) and blood (6.8%). All together 557 pathogens in ICU causing nosocomial infections were isolated of which there were 377 gram-negative (G-) bacilli (67.7%), 103 gram-positive (G+) cocci (18.5%), and 77 fungi (13.8%). Among G- bacilli, the top three wereAcinetobacter baumannii (34.5%), Klebsiella pneumonia (17.8%), andPseudomonas aeruginosa (13.0%). Beside carbapenem, the drug resistance rates of Acinetobacterbaumannii to other antibiotics were more than 40%. The main G+ coccus causing nosocomial infection wasSaphylococcus aureus (36.9%) in ICU. The drug resistance rates ofSaphylococcus aureus to penicillin, gentamicin and erythromycin were higher than 50%. In 77 fungus strains,Candida albicans was ranked the first, accounting for 41.6%.Conclusion The main infection site in ICU is primarily respiratory tract, the G- bacilli are the predominate pathogens, and the drug resistance to antibiotics found in this report is serious, so clinically, the antibiotics should be properly used to avoid the occurrence of pathogenic strain with drug tolerance.