This paper reports the clinical characteristics as well as diagnosis and treatment processes of a patient with mixed pulmonary infection of Rhizopus microspores and Aspergillus.The patient had history of type 2 diabe-tes mellitus,and was admitted to the hospital due to diabetes ketoacidosis complicated with pneumonia.Clinical manifestations included cough,expectoration,and fever.Imaging examination showed inflammatory lesions of bila-teral lungs(mainly in the right lung)associated with local consolidation.Bronchoalveolar lavage fluid(BALF)smears and galactomannan antigen test(GM test)were both negative.Nucleic acid sequences of Rhizopus micro-spores and Aspergillus were detected by metagenomic next-generation sequencing(mNGS)at the early stage,while complicated infection of Klebsiella pneumoniae and COVID-19 were also found.The final pathological diagnosis was pulmonary mucormycosis combined with invasive pulmonary aspergillosis.The patient achieved clinical curing through the combination of isaconazole antifungal treatment and lobectomy of the right middle-lower lobes.

Objective To study the characteristics of intestinal flora between diarrhea-predominant irritable bowel syndrome(IBS-D)and healthy population,and to provide a clinical basis for the basic research of IBS-D.Methods A total of 32 IBS-D patients admitted to Wenzhou People's Hospital,the Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University from January 2023 to June 2024 were selected as IBS-D group,and 33 healthy during the same period as control group.Cluster diversity was determined by 16S rDNA of clusters in feces and quantification of DNA.Results The diversity of IBS-D group decreased significantly than control group,and the relative abundance of proteobacteria increased in the IBS-D group,and the relative abundance of E.coli-Shigella and Klebsiella increased in the IBS-D group.Conclusion Intestinal microbiota diversity in IBS-D patients reduced and proteobacteria is the potential pathogen of IBS-D.

Objective:To investigate the predictive value of radiomics features derived from dynamic contrast-enhanced MRI (DCE-MRI) based on habitat imaging technology for pathological complete response after neoadjuvant therapy (NAT) for breast cancer.Methods:All patients were female, aged 25-67 years. Patients were stratified into training ( n=83) and validation ( n=36) sets via stratified random sampling (7∶3 ratio). Pathological complete remission (pCR) and non-pathological complete remission (non-pCR) were defined using the Miller-Payne grading system. All patients underwent DCE-MRI before NAT. ITK-Snap software was used to outline the region of interest (ROI), the imaging histological features of the entire tumor region were extracted and screened, a traditional imaging histological model for predicting post-NAT pCR (ROI overall model) was constructed; the tumor region was divided into three subregions using habitat imaging technology, and the imaging histological features within ROI subregion 1, ROI subregion 2, and ROI subregion 3 were extracted and screened, and the habitat imaging model for predicting post-NAT pCR were constructed (ROI subregion 1 model, ROI subregion 2 model, ROI subregion 3 model). Univariate logistic regression identified clinical predictors of pCR for clinical model construction. Combined models integrating clinical predictors and habitat imaging features were established. The efficacy of each model in predicting pCR after NAT in breast cancer was evaluated using receiver operating characteristic curves and area under the curve (AUC), and the efficacy of clinical application of the models was evaluated using decision curve analysis (DCA). Results:Of the 119 patients, 74 were pCR patients, with 52 in the training set and 22 in the validation set, and 45 were non-pCR patients, with 31 in the training set and 14 in the validation set. Logistic regression analysis showed that human epidermal growth factor receptor 2 status ( OR=0.254, 95% CI 0.093-0.697, P=0.008) was an independent predictor of pCR after NAT, and this was used to construct a clinical prediction model. The predictive efficacy of ROI subregion 1 model and ROI subregion 2 model in the habitat model was higher than that of the traditional imaging histology model (ROI overall model), with AUCs of 0.805, 0.748,0.728 for the training set and 0.776,0.718,0.708 for the validation set, respectively. The combined clinical prediction model for predicting pCR after NAT in breast cancer had AUCs of 0.877 and 0.818 for the training and validation sets, respectively. DCA showed a higher net benefit for the combined model than for the traditional imaging histology model and the habitat imaging histology model. Conclusion:Compared with the traditional method of extracting the entire tumor region, extracting radiomics features from DCE-MRI subregions based on habitat imaging technology can improve the predictive performance of NAT efficacy in breast cancer.

Objective To develop a new model for predicting compound toxicity and exploring related toxicity mechanisms using transcriptomic data and gene ontology knowledge.Methods Using the TOXRIC database,two toxicity-related datasets were constructed and a Tox VNN model was established that incorporated gene ontology knowledge to evaluate compound toxicity and identify key biological processes.Results Tox VNN demonstrated good predictability.The identification of important biological processes related to CYP enzyme activity and p53 pathway stress response provided insights into the toxicity mechanisms.Conclusion The Tox VNN,which integrates data and knowledge,can not only ensure high predictability,but also effectively identify important biological processes related to toxicity.This model offers a new approach to predicting and understanding compound toxicity in drug safety evaluation.

The activation of Keap1-Nrf2 signaling pathway is an important mechanism for cells to resist oxidative stress.Under oxidative stress,Keap1 is affected by post-translational modification(PTM)such as glutathione,alky-lation and S-sulfhydrylation,which weakens its binding to Nrf2,leading to Nrf2 accumulation,nuclear translocation and the expression and transcription of downstream detoxification and antioxidant defense proteins.The PTM of Keap1 is involved in the regulation of a variety of oxidative stress-related diseases such as cancer,Parkin-son's disease and atherosclerosis.For example,alkylation inhibits abdominal aortic aneurysm formation,methylation promotes innate resistance of breast cancer,and S-sulfhydrylation improves atherosclerosis,which pro-vides a theoretical basis for finding new drug targets and biomarkers.

Osteoarthritis(OA)is a common concern over the world.Garlic is a kind of natural herbal medicine,and its active ingredients have shown some anti-inflammatory,antioxidant,anti-catabolic,analgesic and other phar-macological effects.Garlic and its active components alleviate the inflammatory response of OA by inhibiting the ex?pression of inflammatory factors and signal pathways such as NF?κB and PI3K/Akt.They slow down the progression of OA by inhibiting the expression of extracellular matrix(ECM)degrading enzymes.Additionally,they reduce the oxidative damage of joints by upregulating the expression of antioxidant enzymes.Moreover,the active components of garlic can relieve OA pain by activating the potassium ion pathway(Kv7),ATP?sensitive potassium channel(K?ATP),and the nuclear factor erythroid 2?related factor 2(Nrf2)/heme oxygenase 1(HO?1)?NAD(P)H:qui?none oxidoreductase 1(NQO1)signaling pathway.

This paper reports the clinical characteristics as well as diagnosis and treatment processes of a patient with mixed pulmonary infection of Rhizopus microspores and Aspergillus.The patient had history of type 2 diabe-tes mellitus,and was admitted to the hospital due to diabetes ketoacidosis complicated with pneumonia.Clinical manifestations included cough,expectoration,and fever.Imaging examination showed inflammatory lesions of bila-teral lungs(mainly in the right lung)associated with local consolidation.Bronchoalveolar lavage fluid(BALF)smears and galactomannan antigen test(GM test)were both negative.Nucleic acid sequences of Rhizopus micro-spores and Aspergillus were detected by metagenomic next-generation sequencing(mNGS)at the early stage,while complicated infection of Klebsiella pneumoniae and COVID-19 were also found.The final pathological diagnosis was pulmonary mucormycosis combined with invasive pulmonary aspergillosis.The patient achieved clinical curing through the combination of isaconazole antifungal treatment and lobectomy of the right middle-lower lobes.

Objective To study the characteristics of intestinal flora between diarrhea-predominant irritable bowel syndrome(IBS-D)and healthy population,and to provide a clinical basis for the basic research of IBS-D.Methods A total of 32 IBS-D patients admitted to Wenzhou People's Hospital,the Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University from January 2023 to June 2024 were selected as IBS-D group,and 33 healthy during the same period as control group.Cluster diversity was determined by 16S rDNA of clusters in feces and quantification of DNA.Results The diversity of IBS-D group decreased significantly than control group,and the relative abundance of proteobacteria increased in the IBS-D group,and the relative abundance of E.coli-Shigella and Klebsiella increased in the IBS-D group.Conclusion Intestinal microbiota diversity in IBS-D patients reduced and proteobacteria is the potential pathogen of IBS-D.

Objective:To investigate the predictive value of radiomics features derived from dynamic contrast-enhanced MRI (DCE-MRI) based on habitat imaging technology for pathological complete response after neoadjuvant therapy (NAT) for breast cancer.Methods:All patients were female, aged 25-67 years. Patients were stratified into training ( n=83) and validation ( n=36) sets via stratified random sampling (7∶3 ratio). Pathological complete remission (pCR) and non-pathological complete remission (non-pCR) were defined using the Miller-Payne grading system. All patients underwent DCE-MRI before NAT. ITK-Snap software was used to outline the region of interest (ROI), the imaging histological features of the entire tumor region were extracted and screened, a traditional imaging histological model for predicting post-NAT pCR (ROI overall model) was constructed; the tumor region was divided into three subregions using habitat imaging technology, and the imaging histological features within ROI subregion 1, ROI subregion 2, and ROI subregion 3 were extracted and screened, and the habitat imaging model for predicting post-NAT pCR were constructed (ROI subregion 1 model, ROI subregion 2 model, ROI subregion 3 model). Univariate logistic regression identified clinical predictors of pCR for clinical model construction. Combined models integrating clinical predictors and habitat imaging features were established. The efficacy of each model in predicting pCR after NAT in breast cancer was evaluated using receiver operating characteristic curves and area under the curve (AUC), and the efficacy of clinical application of the models was evaluated using decision curve analysis (DCA). Results:Of the 119 patients, 74 were pCR patients, with 52 in the training set and 22 in the validation set, and 45 were non-pCR patients, with 31 in the training set and 14 in the validation set. Logistic regression analysis showed that human epidermal growth factor receptor 2 status ( OR=0.254, 95% CI 0.093-0.697, P=0.008) was an independent predictor of pCR after NAT, and this was used to construct a clinical prediction model. The predictive efficacy of ROI subregion 1 model and ROI subregion 2 model in the habitat model was higher than that of the traditional imaging histology model (ROI overall model), with AUCs of 0.805, 0.748,0.728 for the training set and 0.776,0.718,0.708 for the validation set, respectively. The combined clinical prediction model for predicting pCR after NAT in breast cancer had AUCs of 0.877 and 0.818 for the training and validation sets, respectively. DCA showed a higher net benefit for the combined model than for the traditional imaging histology model and the habitat imaging histology model. Conclusion:Compared with the traditional method of extracting the entire tumor region, extracting radiomics features from DCE-MRI subregions based on habitat imaging technology can improve the predictive performance of NAT efficacy in breast cancer.

Objective To explore the effect of 5A nursing model combined with empowerment health education in the perioperative period of laryngeal cancer.Methods Eighty patients with laryngeal cancer admitted to Department of Otolaryngology of The First Affiliated Hospital of Naval Medical University from January 2021 to December 2022 were selected as study subjects.Forty patients admitted between January and December 2021 were assigned to control group,and 40 patients admitted between January and December 2022 were divided into observation group.The patients of both groups received unified surgical treatment.During perioperative period,the control group received routine nursing intervention,and the observation group was given 5A nursing model combined with empowerment health education on the basis of routine nursing.Self-care ability,psychological resilience,compliance rate,complication rate,and quality of life scores were compared between the two groups.The patients of both groups were intervened until 3 months after surgery.Results After 3-month intervention,the exercise of self-care agency(ESCA)scores of the observation group in the terms of self-care skills,self-responsibility,self-concept,and health knowledge were higher than those of the control group(P＜0.05).After intervention,the scores of the Connor-Davidson Resilience Scale(CD-RISC)of the observation group in the terms of resilience,self-reliance,and optimism,were higher than those in the control group(P＜0.05).After intervention,the rates of compliance behaviors in the observation group,including taking medication on time,taking regular rest,quitting smoking and alcohol,eating reasonably,exercising moderately,and taking regular reexaminations,were higher than those in the control group(P＜0.05).After intervention,the incidence of complications in the observation group was 7.50%(3/40),which was significantly lower than that in the control group(25.00%[10/40],P＜0.05).After intervention,the scores of the generic quality of life inventory-74(GQOL-74)of the observation group in the terms of physical function,psychological function,social function,and material life status were higher than those in the control group(P＜0.05).Conclusion 5A nursing model combined with empowerment health education used in the perioperative period has a good effect in patients with laryngeal cancer,which can enhance patient's self-care ability,improve psychological resilience and compliance behaviors,reduce the postoperative complications,and improve quality of life.