Geraniin, a polyphenol derived from the fruit peel of Nephelium lappaceum L., has been shown to possess anti-inflammatory and antioxidant properties in the cardiovascular system. The present study explored whether geraniin could protect against an isoproterenol (ISO)-induced cardiac hypertrophy model. Mice in the ISO group received an intraperitoneal injection of ISO (5 mg/kg) once daily for 9 days, and the administration group were injected with ISO after 5 days of treatment with geraniin or spironolactone. Potential therapeutic effects and related mechanisms analysed by anatomical coefficients, histopathology, blood biochemical indices, reverse transcription-PCR and immunoblotting. Geraniin decreased the cardiac pathologic remodeling and myocardial fibrosis induced by ISO, as evidenced by the modifications to anatomical coefficients, as well as the reduction in collagen I/III á1mRNA and protein expression and cross-sectional area in hypertrophic cardiac tissue. In addition, geraniin treatment reduced ISO-induced increase in the mRNA and protein expression levels of interleukin (IL)-6, IL-1β and tumor necrosis factor-α, whereas ISO-induced IL-10 showed the opposite behaviour in hypertrophic cardiac tissue.Further analysis showed that geraniin partially reversed the ISO-induced increase in malondialdehyde and nitric oxide, and the ISO-induced decrease in glutathione, superoxide dismutase and glutathione. Furthermore, it suppressed the ISO-induced cellular apoptosis of hypertrophic cardiac tissue, as evidenced by the decrease in Bcell lymphoma-2 (Bcl-2)-associated X/caspase-3/caspase-9 expression, increase in Bcl-2 expression, and decrease in TdT-mediated dUTP nick-end labeling-positive cells.These findings suggest that geraniin can attenuate ISO-induced cardiac hypertrophy by inhibiting inflammation, oxidative stress and cellular apoptosis.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Geraniin, a polyphenol derived from the fruit peel of Nephelium lappaceum L., has been shown to possess anti-inflammatory and antioxidant properties in the cardiovascular system. The present study explored whether geraniin could protect against an isoproterenol (ISO)-induced cardiac hypertrophy model. Mice in the ISO group received an intraperitoneal injection of ISO (5 mg/kg) once daily for 9 days, and the administration group were injected with ISO after 5 days of treatment with geraniin or spironolactone. Potential therapeutic effects and related mechanisms analysed by anatomical coefficients, histopathology, blood biochemical indices, reverse transcription-PCR and immunoblotting. Geraniin decreased the cardiac pathologic remodeling and myocardial fibrosis induced by ISO, as evidenced by the modifications to anatomical coefficients, as well as the reduction in collagen I/III á1mRNA and protein expression and cross-sectional area in hypertrophic cardiac tissue. In addition, geraniin treatment reduced ISO-induced increase in the mRNA and protein expression levels of interleukin (IL)-6, IL-1β and tumor necrosis factor-α, whereas ISO-induced IL-10 showed the opposite behaviour in hypertrophic cardiac tissue.Further analysis showed that geraniin partially reversed the ISO-induced increase in malondialdehyde and nitric oxide, and the ISO-induced decrease in glutathione, superoxide dismutase and glutathione. Furthermore, it suppressed the ISO-induced cellular apoptosis of hypertrophic cardiac tissue, as evidenced by the decrease in Bcell lymphoma-2 (Bcl-2)-associated X/caspase-3/caspase-9 expression, increase in Bcl-2 expression, and decrease in TdT-mediated dUTP nick-end labeling-positive cells.These findings suggest that geraniin can attenuate ISO-induced cardiac hypertrophy by inhibiting inflammation, oxidative stress and cellular apoptosis.

Objective:To investigate the effects of traditional Chinese curve-correcting and rotation-reducing spinal manipulation on biomechanical parameters and factors influencing herniated disc resorption in lumbar disc herniation(LDH).Methods:A retrospective analysis of 51 LDH patients treated between January 2022 and May 2024 was conducted.Lumbosacral parameters(vertebral rotation angle[α],disc angle[β],sacral slope[SS],lumbar lordosis[LL])were measured via MRI before treatment and at final follow-up.Disc resorption was assessed using Michigan State University(MSU)classification.Multivariate logistic regression identified factors associated with resorption.Results:Post-treatment α angle significantly decreased(3.02°→1.86°,P=0.002),while SS(28.4°→30.0°,P＜0.001)and LL angles(31.0°→35.12°,P＜0.001)increased;Disc resorption occurred in 56.86％(29/51)of patients.Longer disease course(OR=0.79,95％CI:0.69-0.91)and disc calcification(OR=0.03,95％CI:0.00-0.25)were independent inhibitors of resorption(P＜0.001).Conclusion:Spinal manipulation restores lumbosacral biomechanics by reducing vertebral rotation and increasing lumbar curvature,with higher resorption rates in patients with short duration(≤6 months),non-calcified discs,and MSU type 2-3 herniations.

Objective:To investigate the effects of traditional Chinese curve-correcting and rotation-reducing spinal manipulation on biomechanical parameters and factors influencing herniated disc resorption in lumbar disc herniation(LDH).Methods:A retrospective analysis of 51 LDH patients treated between January 2022 and May 2024 was conducted.Lumbosacral parameters(vertebral rotation angle[α],disc angle[β],sacral slope[SS],lumbar lordosis[LL])were measured via MRI before treatment and at final follow-up.Disc resorption was assessed using Michigan State University(MSU)classification.Multivariate logistic regression identified factors associated with resorption.Results:Post-treatment α angle significantly decreased(3.02°→1.86°,P=0.002),while SS(28.4°→30.0°,P＜0.001)and LL angles(31.0°→35.12°,P＜0.001)increased;Disc resorption occurred in 56.86％(29/51)of patients.Longer disease course(OR=0.79,95％CI:0.69-0.91)and disc calcification(OR=0.03,95％CI:0.00-0.25)were independent inhibitors of resorption(P＜0.001).Conclusion:Spinal manipulation restores lumbosacral biomechanics by reducing vertebral rotation and increasing lumbar curvature,with higher resorption rates in patients with short duration(≤6 months),non-calcified discs,and MSU type 2-3 herniations.

Objective To construct a prediction model for targeted biopsy(TB)of the prostate based on multiparameter magnetic resonance imaging(mp-MRI)and prostate-specific antigen density(PSAD)to predict the outcomes TB in patients with a score of 4-5 on the Prostate Imaging Reporting and Data System(PI-RADS).Methods Clinical data of 669 patients with PI-RADS 4-5 receiving transperineal TB in our hospital during Jan.2022 and Dec.2023 were retrospectively analyzed.The data were divided into the training set and validation set with a ratio of 2∶1.Independent predictors of TB results were identified with univariate and multivariate logistic regression to construct a formula for the prediction model.A prediction model was subsequently constructed and validated using the validation set to assess its efficacy and predictive performance with the area under the receiver operating characteristic curve(AUC).The relative importance of each independent predictor in the formula was analyzed.Results Univariate and multivariate logistic regression analyses showed that age,total number of lesions,histological location,PI-RADS score and PSAD were significantly associated with the TB outcomes(P＜0.05)and could be used as independent predictors,with PI-RADS score and PSAD making the highest contribution to outcome prediction,accounting for 27.59％and 37.58％,respectively.The training set had an AUC of 0.840(95％CI:0.800-0.881),which was more predictive than other single predictors,and the high-risk group based on the optimal threshold of 0.833 increased the positive biopsy rate from 79.3％to 94.4％.The validation set had an AUC of 0.865(95％CI:0.810-0.920),and the high-risk group based on the optimal threshold of 0.594 increased the positive biopsy rate from 80.0％to 96.2％.Conclusion The prediction model has good predictive ability for lesions with PI-RADS 4-5,which can significantly improve the positive detection rate and reduce a large number of unnecessary systematic puncture.

Objective:To explore the longitudinal trajectory of sleep disorders and their influencing factors in newly diagnosed breast cancer patients, and provide theoretical basis for formulating intervention measures to improve sleep quality of breast cancer patients.Methods:A longitudinal study was conducted using convenience sampling to select newly diagnosed breast cancer patients from Shandong Provincial Third Hospital and Shandong First Medical University Affiliated Provincial Hospital from April 2023 to June 2024. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Concerns About Recurrence Scale (CARS), and the Distress Disclosure Index (DDI) were used for the survey. The Kruskal-Wallis H test and generalized estimating equation models were used to examine sleep disorders and their influencing factors. Results:A total of 473 valid questionnaires were collected. Among the 473 newly diagnosed breast cancer patients, 435 were female and 38 were male, aged (49.5 ± 11.0) years old. The CARS score at admission was (3.00 ± 1.12) points, with concerns about death (0.71 ± 0.67) points and concerns about female characteristics (0.81 ± 0.72) points. The DDI score at admission was (27.00 ± 10.03) points. The PSQI scores at admission, discharge, and one month after discharge were (15.34 ± 3.05), (12.12 ± 3.01), and (10.13 ± 1.78) points, respectively, the difference was statistically significant ( H =33.19, P<0.05). The PSQI scores at these three time points were positively correlated with the CARS score and concerns about death and female characteristics ( r values were 0.42-0.79, all P<0.05), and negatively correlated with the DDI score ( r =-0.41, -0.37, -0.31, all P<0.05). The generalized estimating equation model showed that female gender ( β=1.35, 95% CI 0.27-2.30), education level of junior high school or below ( β=1.89, 95% CI 0.24-3.19), severe pain ( β=1.72, 95% CI 0.32-3.12), moderate pain ( β=2.51, 95% CI 0.37-4.66), invasive special cancer ( β=2.57, 95% CI 1.67-4.07), invasive non-special cancer ( β=2.11, 95% CI 1.98-3.12), partial understanding of the condition ( β=1.91, 95% CI 1.23-3.01), concerns about death ( β=1.61, 95% CI 0.17-2.78), and concerns about femininity ( β=1.34, 95% CI 0.37-2.15) positively predicted the sleep quality index in newly diagnosed breast cancer patients (all P<0.05). Non-invasive cancer ( β=-3.82, 95% CI -6.79--3.36), lack of understanding of the condition ( β=-3.96, 95% CI -7.09--4.62), and DDI score ( β=-1.45, 95% CI -2.14--0.15) negatively predicted the sleep quality index (all P<0.05). Conclusions:The overall sleep quality of newly diagnosed breast cancer patients is low, with the lowest at admission and gradual improvement at discharge and one month after discharge. Medical staff should pay attention to high-risk patients who are female, have lower education levels, higher pain scores, poorer pathological types, and partial understanding of their condition.

Objective To construct a prediction model for targeted biopsy(TB)of the prostate based on multiparameter magnetic resonance imaging(mp-MRI)and prostate-specific antigen density(PSAD)to predict the outcomes TB in patients with a score of 4-5 on the Prostate Imaging Reporting and Data System(PI-RADS).Methods Clinical data of 669 patients with PI-RADS 4-5 receiving transperineal TB in our hospital during Jan.2022 and Dec.2023 were retrospectively analyzed.The data were divided into the training set and validation set with a ratio of 2∶1.Independent predictors of TB results were identified with univariate and multivariate logistic regression to construct a formula for the prediction model.A prediction model was subsequently constructed and validated using the validation set to assess its efficacy and predictive performance with the area under the receiver operating characteristic curve(AUC).The relative importance of each independent predictor in the formula was analyzed.Results Univariate and multivariate logistic regression analyses showed that age,total number of lesions,histological location,PI-RADS score and PSAD were significantly associated with the TB outcomes(P＜0.05)and could be used as independent predictors,with PI-RADS score and PSAD making the highest contribution to outcome prediction,accounting for 27.59％and 37.58％,respectively.The training set had an AUC of 0.840(95％CI:0.800-0.881),which was more predictive than other single predictors,and the high-risk group based on the optimal threshold of 0.833 increased the positive biopsy rate from 79.3％to 94.4％.The validation set had an AUC of 0.865(95％CI:0.810-0.920),and the high-risk group based on the optimal threshold of 0.594 increased the positive biopsy rate from 80.0％to 96.2％.Conclusion The prediction model has good predictive ability for lesions with PI-RADS 4-5,which can significantly improve the positive detection rate and reduce a large number of unnecessary systematic puncture.

Department of Kidney Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University reported a case of vasoplegic syndrome (VS). During a livingdonor kidney transplantation, the patient developed abrupt hypotension immediately after allograft reperfusion, with blood pressure dropping to 50/30 mmHg (1 mmHg=0.133 kPa). The diagnosis of VS was confirmed through multidisciplinary consultation, integration of clinical indicators, and ultrasonographic assessment. Management included vasopressor therapy (dopamine, norepinephrine, and epinephrine), fluid resuscitation, blood transfusion, and albumin administration. Hemodynamics were subsequently stabilized, and kidney allograft function returned to normal. At more than three months of followup, both kidney function and blood pressure remained stable.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.