OBJECTIVES: To analyze the differentially expressed exosomal miRNAs in patients with chronic heart failure (CHF) complicated by hyperuricemia (HUA) and explore their potential as novel diagnostic molecular markers and their target genes. METHODS: This study was conducted among 30 CHF patients with HUA (observation group) and 30 healthy volunteers (control group) enrolled between September, 2020 and September, 2023. Peripheral blood samples were collected from 6 CHF patients with HUA for analyzing exosomal miRNAs by high-throughput sequencing, and the results were validated in the remaining 24 patients using qRT-PCR. GO and KEGG enrichment analyses were performed to predict the the target genes of the identified differential miRNAs. We also validated the differentially expressed miRNAs by animal experiment. RESULTS: A total of 42 differentially expressed exosomal miRNAs were detected in observation group by high-throughput sequencing; among them, miR-27a-5p was significantly upregulated (P=0.000179), and miR-139-3p was significantly downregulated (P=0.000058). In the 24 patients with both CHF and PUA, qRT-PCR validated significant upregulation of miR-27a-5p (P=0.004) and downregulation of miR-139-3p (P=0.005) in serum exosomes. When combined, miR-27a-5p and miR-139-3p had a maximum area under the curve (AUC) of 0.899 (95% CI: 0812-0.987) for predicting CHF complicated by HUA. GO and KEGG enrichment analyses suggested that the differential expressions of miR-27a-5p and miR-139-3p was associated with the activation of the AMPK-mTOR signaling pathway to activate the autophagic response. We obtained the same conclusion from animal experiment. CONCLUSIONS Upregulated exosomal miR-27a-5p combined with downregulated exosomal miR-139-3p expression can serve as a novel molecular marker for diagnosis of CHF complicated by HUA, and their differential expression may promote autophagy in cardiomyocytes by activating the AMPK-mTOR signaling pathway.
Humans ; Hyperuricemia/diagnosis* ; Heart Failure/genetics* ; MicroRNAs/metabolism* ; Exosomes/metabolism* ; Chronic Disease ; Male ; Female ; Middle Aged ; Animals

Objective:To explore the value of deep learning (DL) models based on conventional MRI in differentiating orbital solitary fibrous tumors (SFT) from schwannomas.Methods:This was a case-control study. A retrospective analysis was conducted on patients with pathologically confirmed orbital SFT and schwannoma admitted to Eye & ENT Hospital, Fudan University (institution 1) from December 2014 to January 2022 and Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine (institution 2) from July 2015 to May 2022. A total of 140 patients were included, with 104 patients from institution 1 comprising the training cohort for building DL models and 36 patients from institution 2 comprising the external validation cohort for assessing model performance. Based on the preoperative cross-sectional fat-suppressed T 2WI and contrast-enhanced T 1WI (ceT 1WI), tumor contours were outlined on all tumor-containing slices. Six diagnostic models were constructed using residual networks (ResNet) and split-attention residual networks (ResNeSt) with 18 layers (ResNet-18 and ResNeSt-18), based solely on individual T 2WI and ceT 1WI, as well as a combination of both. A radiology resident and an attending radiologist independently reviewed conventional MRI images to determine the tumor type. The performance of the DL models and radiologists in differentiating orbital SFT from schwannoma in the external validation cohort was evaluated using receiver operating characteristic curves, and the areas under the curves (AUC) were compared using the DeLong test. Results:In the external validation cohort, the AUC (95% CI) of the ResNet-18 models based on T 2WI, ceT 1WI, and their combination were 0.861 (0.719-1), 0.896 (0.774-1), and 0.885 (0.755-1), respectively, while the AUC (95% CI) of the ResNeSt-18 models were 0.889 (0.748-1), 0.872 (0.726-1), and 0.910 (0.801-1), respectively. Among these, the ResNeSt-18 model based on the combined sequences achieved the best performance in differentiating the two tumors. The AUC (95% CI) for the individual interpretation of the radiology resident and attending radiologist were 0.729 (0.571-0.887) and 0.771 (0.618-0.923), respectively. The AUC of the ResNeSt-18 model based on the combined sequences was statistically significantly higher than those of the resident and attending radiologist ( Z=1.96, P=0.049; Z=2.00, P=0.045). Conclusion:The ResNeSt-18 model based on conventional MRI can effectively differentiate orbital SFT from schwannoma, demonstrating better performance than those of the radiology resident and the attending radiologist.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

Purpose In this study,tract-based spatial statistical analysis was used to analyze the diffusion tensor imaging(DTI)data of breast cancer patients after chemotherapy,to observe the changes of white matter microstructure after chemotherapy and their correlation with neuropsychological cognitive test results,and to provide imaging markers for the evaluation of brain injury after chemotherapy for breast cancer.Materials and Methods A total of 29 patients with breast cancer before chemotherapy treatment and 30 patients with breast cancer after chemotherapy treatment were enrolled in the study from November 2022 to June 2023 in the Affiliated Taizhou People's Hospital of Nanjing Medical University.Neuropsychological cognitive test[Montreal cognitive assessment(MoCA),mini-mental state examination(MMSE)]and whole brain DTI examination were respectively performed in the two groups.Fractional anisotropy(FA)and mean diffusivity(MD)were used to compare the differences between the two groups at the structural level.The correlation between the results of DTI and neuropsychological cognitive test was analyzed.Results Compared with the patients with breast cancer before chemotherapy treatment group,patients with breast cancer after chemotherapy treatment group had decreased FA values in bilateral anterior corona radiata,superior corona radiata,corpus callosum body and genu,left posterior thalamic radiation,left external capsule,bilateral superior longitudinal fasciculus,and increased MD values in bilateral anterior corona radiata,superior corona radiata,right posterior corona radiata,corpus callosum body and genu,right posterior thalamic radiation,bilateral superior longitudinal fasciculus.The FA values of left superior corona radiata(r=0.302)and left external capsule(r=0.370)were positively correlated with MMSE results,and the FA values of left outer capsule(r=0.328)were positively correlated with MoCA results(all P<0.05).The MD values of corpus callosum body(r=-0.343)and genu(r=-0.378),left superior corona radiata(r=-0.311),right posterior corona radiata(r=-0.376),right posterior thalamic radiation(r=-0.341)and right superior longitudinal fasciculus(r=-0.392)were negatively correlated with MMSE results(all P<0.05).Conclusion In the chemotherapy group,FA and MD values in multiple brain regions are abnormal,and there is a certain correlation between FA and MD values in some brain regions and neurocognitive test results.The changes of FA and MD values in different brain areas may be potential imaging markers of the abnormal white matter microstructure in breast cancer patients treated with chemotherapy.

Purpose In this study,tract-based spatial statistical analysis was used to analyze the diffusion tensor imaging(DTI)data of breast cancer patients after chemotherapy,to observe the changes of white matter microstructure after chemotherapy and their correlation with neuropsychological cognitive test results,and to provide imaging markers for the evaluation of brain injury after chemotherapy for breast cancer.Materials and Methods A total of 29 patients with breast cancer before chemotherapy treatment and 30 patients with breast cancer after chemotherapy treatment were enrolled in the study from November 2022 to June 2023 in the Affiliated Taizhou People's Hospital of Nanjing Medical University.Neuropsychological cognitive test[Montreal cognitive assessment(MoCA),mini-mental state examination(MMSE)]and whole brain DTI examination were respectively performed in the two groups.Fractional anisotropy(FA)and mean diffusivity(MD)were used to compare the differences between the two groups at the structural level.The correlation between the results of DTI and neuropsychological cognitive test was analyzed.Results Compared with the patients with breast cancer before chemotherapy treatment group,patients with breast cancer after chemotherapy treatment group had decreased FA values in bilateral anterior corona radiata,superior corona radiata,corpus callosum body and genu,left posterior thalamic radiation,left external capsule,bilateral superior longitudinal fasciculus,and increased MD values in bilateral anterior corona radiata,superior corona radiata,right posterior corona radiata,corpus callosum body and genu,right posterior thalamic radiation,bilateral superior longitudinal fasciculus.The FA values of left superior corona radiata(r=0.302)and left external capsule(r=0.370)were positively correlated with MMSE results,and the FA values of left outer capsule(r=0.328)were positively correlated with MoCA results(all P<0.05).The MD values of corpus callosum body(r=-0.343)and genu(r=-0.378),left superior corona radiata(r=-0.311),right posterior corona radiata(r=-0.376),right posterior thalamic radiation(r=-0.341)and right superior longitudinal fasciculus(r=-0.392)were negatively correlated with MMSE results(all P<0.05).Conclusion In the chemotherapy group,FA and MD values in multiple brain regions are abnormal,and there is a certain correlation between FA and MD values in some brain regions and neurocognitive test results.The changes of FA and MD values in different brain areas may be potential imaging markers of the abnormal white matter microstructure in breast cancer patients treated with chemotherapy.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

Objective:To explore the value of deep learning (DL) models based on conventional MRI in differentiating orbital solitary fibrous tumors (SFT) from schwannomas.Methods:This was a case-control study. A retrospective analysis was conducted on patients with pathologically confirmed orbital SFT and schwannoma admitted to Eye & ENT Hospital, Fudan University (institution 1) from December 2014 to January 2022 and Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine (institution 2) from July 2015 to May 2022. A total of 140 patients were included, with 104 patients from institution 1 comprising the training cohort for building DL models and 36 patients from institution 2 comprising the external validation cohort for assessing model performance. Based on the preoperative cross-sectional fat-suppressed T 2WI and contrast-enhanced T 1WI (ceT 1WI), tumor contours were outlined on all tumor-containing slices. Six diagnostic models were constructed using residual networks (ResNet) and split-attention residual networks (ResNeSt) with 18 layers (ResNet-18 and ResNeSt-18), based solely on individual T 2WI and ceT 1WI, as well as a combination of both. A radiology resident and an attending radiologist independently reviewed conventional MRI images to determine the tumor type. The performance of the DL models and radiologists in differentiating orbital SFT from schwannoma in the external validation cohort was evaluated using receiver operating characteristic curves, and the areas under the curves (AUC) were compared using the DeLong test. Results:In the external validation cohort, the AUC (95% CI) of the ResNet-18 models based on T 2WI, ceT 1WI, and their combination were 0.861 (0.719-1), 0.896 (0.774-1), and 0.885 (0.755-1), respectively, while the AUC (95% CI) of the ResNeSt-18 models were 0.889 (0.748-1), 0.872 (0.726-1), and 0.910 (0.801-1), respectively. Among these, the ResNeSt-18 model based on the combined sequences achieved the best performance in differentiating the two tumors. The AUC (95% CI) for the individual interpretation of the radiology resident and attending radiologist were 0.729 (0.571-0.887) and 0.771 (0.618-0.923), respectively. The AUC of the ResNeSt-18 model based on the combined sequences was statistically significantly higher than those of the resident and attending radiologist ( Z=1.96, P=0.049; Z=2.00, P=0.045). Conclusion:The ResNeSt-18 model based on conventional MRI can effectively differentiate orbital SFT from schwannoma, demonstrating better performance than those of the radiology resident and the attending radiologist.

Glioblastoma multiforme (GBM) is the most common malignant primary brain tumor with a poor prognosis and limited survival. Patients with GBM have a high demand for palliative care. In our present case, a 21-year-old female GBM patient received inpatient palliative care services including symptom management, mental and psychological support for the patient, psychosocial and clinical decision support for her family members, and pre- and post-death bereavement management for the family. Furthermore, we provided the family members with comprehensive psychological preparation for the patient's demise and assisted the patient's family throughout the mourning period.The aim of this study is to provide a reference and insights for the clinical implementation of palliative care for patients with malignant brain tumors.
Female ; Humans ; Young Adult ; Brain Neoplasms/therapy* ; Glioblastoma/therapy* ; Inpatients ; Palliative Care ; Terminal Care