Objective:To investigate the value of ultra micro angiography（UMA）imaging in evaluating the inflammation activity of pediatric Crohn's disease（CD）patients.Methods:In this prospective study，71 pediatric CD patients confirmed by clinical symptoms，laboratory and ileocolonoscopical results who planed to accept infliximab injection treatments in Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine from April to December 2024 were included. The CD patients were included and divided into 3 groups according to the pediatric Crohn's disease activity index（PCDAI）score：inactive CD group（ n=44），mild CD group（ n=17），and moderate-to-severe CD group（ n=10）. Before treatment，pediatric CD patients underwent B mode ultrasound（BMUS），the parameters such as bowel wall thickness（BWT），bowel wall stratification，mesenteric lymph nodes（MLNs），and existence of mesenteric fat hypertrophy（MFH）were recorded. Color Doppler flow imaging（CDFI）and UMA were used to evaluate the blood flow in the most thickened diseased bowel wall using Limberg scores. The diffierences of the above parameters among the 3 groups were compared. The diagnostic performance of UMA and CDFI in assessing the inflammatory activity of pediatric CD was evaluated. Results:There were statistically significant differences in BWT among the 3 groups（all P<0.05）. However，there were no statistically significant differences in MLNs among the 3 groups（all P>0.05）. Compared with the inactive CD，there were statistically significant differences in bowel wall stratification and MFH in both the mild and moderate-to-severe CD groups（all P<0.05）. When assessing bowel wall blood flow signals using CDFI，there was no statistically significant difference in blood flow signals in the bowel wall of the mild CD compared with the inactive CD（ P>0.05）. However，the blood flow signals in the bowel wall of the moderate-to-severe CD was significantly increased（ P<0.05）. There was also statistically significant difference in blood flow signals in the bowel wall between the mild and moderate-to-severe CD groups（ P<0.05）. When assessing bowel wall blood flow using UMA，there were statistically significant differences in blood flow signals in the bowel wall among all 3 groups（all P<0.05）. As the degree of inflammation increased，the blood flow signals in the bowel wall also increased significantly. ROC analysis revealed that diagnostic performance of the UMA-BMUS model was significantly better than that of the CDFI-BMUS model（AUC 0.945 vs. 0.873，sensitivity 88.9% vs. 74.1%，specificity 97.7% vs. 95.5%；all P<0.05）. Conclusions:By sensitively depicting the low-velocity and tiny blood flow signals of the inflamed bowel wall，UMA is an effective noninvasive imaging method to make semi-quantitative evaluation of the activity of pediatric Crohn's disease.

Ovulatory dysfunction (OD) is one of the main causes of infertility in women of childbearing age, which not only affects their reproductive ability, but also physical and mental health. Traditional treatment strategies have limited efficacies, and the emergence of biomedicines provides a promising alternative solution via the strategies of combining engineered design with modern advanced technology. This review explores the pathophysiological characteristics and related induction mechanisms of OD, and evaluates the current cutting-edge advances in its treatments. It emphasizes the potentials of biomedicines strategies such as hydrogels, nanoparticles and extracellular vesicles in improving therapeutic precision and efficacy. By mimicking natural physiological processes, and achieving controlled drug release, these advanced drug carriers are expected to address the challenges in ovarian microenvironment reprogramming, tissue repair, and metabolic and immune regulation. Despite the promising progress, there are still challenges in terms of biomedical complexity, differences between animal models and human physiology, and the demand for intelligent drug carriers in the therapy of OD. Future researches are mainly dedicated to developing precise personalized biomedicines in OD therapy through interdisciplinary collaboration, promoting the development of reproductive regenerative medicine.

ObjectiveTo investigate the potential targets and mechanisms of Draconis Sanguis (DS), a valuable traditional Chinese medicine derived from the resin of the palm tree Daemonorops draco Bl (D. Sanguis, Xue Jie), in the treatment of myocardial infarction (MI).MethodsWe explored the potential mechanisms of DS in the treatment of MI using network pharmacology, bioinformatic techniques, and transcriptomic analysis, followed by validation through in vivo and in vitro experiments.ResultsNetwork pharmacology and bioinformatic analyses identified five genes (Fpr1, Glul, Mme, Mmp9, and Pla2g7) as potential targets for MI treatment. Moreover, DS significantly ameliorated cardiac function, inflammatory responses, and MI-induced myocardial fibrosis in vivo. Transcriptomic and bioinformatic analyses identified Pla2g7 as the most critical target in the DS treatment of MI. Molecular docking revealed that the key active ingredient in DS has a strong affinity for this gene. Furthermore, DS reduced the expression of Pla2g7 (P = .0009), NLRP3 (P = .003), interleukin-18 (P .001), and interleukin-1β (P = .004) mRNAs in vivo.ConclusionsThe results indicate that DS can downregulate the expression of Pla2g7 and reduce the inflammatory response. This demonstrates the potential therapeutic target of DS and the mechanism underlying its cardioprotective effects.

Objective:To design a remote monitoring and early warning system of ventilators,so as to adapt to data collection for different types of ventilators,and achieve early warning for abnormal status in operation data of ventilators.Methods:A three-layer structure,which used information gateway of Internet of Things(IoTs)with multi communication standard as the core,and integrated with multiple interfaces,was adopted to construct a remote monitoring and early warning system of ventilators.Boolean function was used to determine strings of incorrect data,and extract respiratory information.Using incremental isolated forest algorithm processed ventilators'operation data for realizing anomaly detection.And then,the detection results were presented through a display module,so as to conduct early warning for existing abnormal situations.Results:The remote monitoring and early warning system of ventilator had an accuracy rate of monitoring over 98.0%for abnormity of different types of ventilators,which timely warning rate was over 98.5%.Conclusion:The designed remote monitoring and early warning system of ventilator can provide clear results of remote monitoring and early warning of ventilator,which can timely find abnormal status,and effectively improve management efficiency for ventilator,and promote the intelligent development of medical treatment.

Objective:To design a remote monitoring and early warning system of ventilators,so as to adapt to data collection for different types of ventilators,and achieve early warning for abnormal status in operation data of ventilators.Methods:A three-layer structure,which used information gateway of Internet of Things(IoTs)with multi communication standard as the core,and integrated with multiple interfaces,was adopted to construct a remote monitoring and early warning system of ventilators.Boolean function was used to determine strings of incorrect data,and extract respiratory information.Using incremental isolated forest algorithm processed ventilators'operation data for realizing anomaly detection.And then,the detection results were presented through a display module,so as to conduct early warning for existing abnormal situations.Results:The remote monitoring and early warning system of ventilator had an accuracy rate of monitoring over 98.0%for abnormity of different types of ventilators,which timely warning rate was over 98.5%.Conclusion:The designed remote monitoring and early warning system of ventilator can provide clear results of remote monitoring and early warning of ventilator,which can timely find abnormal status,and effectively improve management efficiency for ventilator,and promote the intelligent development of medical treatment.

Objective:To investigate the value of ultra micro angiography（UMA）imaging in evaluating the inflammation activity of pediatric Crohn's disease（CD）patients.Methods:In this prospective study，71 pediatric CD patients confirmed by clinical symptoms，laboratory and ileocolonoscopical results who planed to accept infliximab injection treatments in Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine from April to December 2024 were included. The CD patients were included and divided into 3 groups according to the pediatric Crohn's disease activity index（PCDAI）score：inactive CD group（ n=44），mild CD group（ n=17），and moderate-to-severe CD group（ n=10）. Before treatment，pediatric CD patients underwent B mode ultrasound（BMUS），the parameters such as bowel wall thickness（BWT），bowel wall stratification，mesenteric lymph nodes（MLNs），and existence of mesenteric fat hypertrophy（MFH）were recorded. Color Doppler flow imaging（CDFI）and UMA were used to evaluate the blood flow in the most thickened diseased bowel wall using Limberg scores. The diffierences of the above parameters among the 3 groups were compared. The diagnostic performance of UMA and CDFI in assessing the inflammatory activity of pediatric CD was evaluated. Results:There were statistically significant differences in BWT among the 3 groups（all P<0.05）. However，there were no statistically significant differences in MLNs among the 3 groups（all P>0.05）. Compared with the inactive CD，there were statistically significant differences in bowel wall stratification and MFH in both the mild and moderate-to-severe CD groups（all P<0.05）. When assessing bowel wall blood flow signals using CDFI，there was no statistically significant difference in blood flow signals in the bowel wall of the mild CD compared with the inactive CD（ P>0.05）. However，the blood flow signals in the bowel wall of the moderate-to-severe CD was significantly increased（ P<0.05）. There was also statistically significant difference in blood flow signals in the bowel wall between the mild and moderate-to-severe CD groups（ P<0.05）. When assessing bowel wall blood flow using UMA，there were statistically significant differences in blood flow signals in the bowel wall among all 3 groups（all P<0.05）. As the degree of inflammation increased，the blood flow signals in the bowel wall also increased significantly. ROC analysis revealed that diagnostic performance of the UMA-BMUS model was significantly better than that of the CDFI-BMUS model（AUC 0.945 vs. 0.873，sensitivity 88.9% vs. 74.1%，specificity 97.7% vs. 95.5%；all P<0.05）. Conclusions:By sensitively depicting the low-velocity and tiny blood flow signals of the inflamed bowel wall，UMA is an effective noninvasive imaging method to make semi-quantitative evaluation of the activity of pediatric Crohn's disease.

Objective To predict the prognosis of patients after cardiac surgery by implementing hemodynamic monitoring collective strategy—CHOLKIT protocol,and to explore the practical application value of CHOLKIT protocol,such as early intervention to improve tissue circulation and microcirculation,and predict the timing of extubation.Methods A prospective cohort study was used to analyse 88 patients who underwent cardiac surgery in the First Affiliated Hospital of Xinjiang Medical University from April to October 2020,and they were divided into the survival group (84 cases) and the death group (4 cases) with patient survival or death as the study endpoint.The CHOLKIT protocol was applied to score the central venous pressure (CVP),heart rate (HR),central venous oxygen saturation (ScvO2),lactic acid (Lac),potassium (K+),perfusion index (PI),and toe temperature (T) of patients at different time periods.The correlation between CHOLKIT score and prognosis was predicted based on the scores.Results Some monitoring indexes in the CHOLKIT protocol were related to the mortality,renal injury and duration of mechanical ventilation after cardiac surgery.Conclusion The CHOLKIT protocol can predict the timing of extubation and the change of the condition of patients after cardiac surgery,and early intervention can improve the prognosis of patients,duration of mechanical ventilation and number of days of stay in the intensive care unit.

As specialized intracellular parasite, viruses have no ability to metabolize independently, so they completely depend on the metabolic mechanism of host cells. Viruses use the energy and precursors provided by the metabolic network of the host cells to drive their replication, assembly and release. Namely, viruses hijack the host cells metabolism to achieve their own replication and proliferation. In addition, viruses can also affect host cell metabolism by the expression of auxiliary metabolic genes (AMGs), affecting carbon, nitrogen, phosphorus, and sulfur cycles, and participate in microbial-driven biogeochemical cycling. This review summarizes the effect of viral infection on the host's core metabolic pathway from four aspects: cellular glucose metabolism, glutamine metabolism, fatty acid metabolism, and viral AMGs on host metabolism. It may facilitate in-depth understanding of virus-host interactions, and provide a theoretical basis for the treatment of viral diseases through metabolic intervention.
Humans ; Metabolic Networks and Pathways ; Virus Diseases ; Carbohydrate Metabolism ; Host Microbial Interactions ; Lipid Metabolism

Objective:To verify the prognostic significance of the tumor regression grade (TRG) for muscle-invasive bladder cancer (MIBC) patients undergoing radical cystectomy (RC) after neoadjuvant chemotherapy.Methods:The data of 70 MIBC patients treated with gemcitabine combined with cisplatin neoadjuvant chemotherapy and RC in Sun Yat-sen University Cancer Center between July 2016 to November 2021 were retrospectively reviewed. There were 65 males and 5 females, with an average age(59.79±10.56)years old. The patients accepted transurethral resection of bladder tumor (TURBT) specimens before neoadjuvant chemotherapy. Clinicopathological characteristics of patients were recorded and TRG was assessed. TRG evaluation criteria: TRG 1 was defined as no cancer residue, TRG 2 was defined as the proportion of residual cancer area to tumor bed area <50%, and TRG 3 was defined as the proportion of residual cancer area to the area of the tumor bed ≥ 50%. Chi-square test or Fisher's exact test were used to compare the relationship between patients' clinicopathological characteristics and TRG. The relationship between post-neoadjuvant therapy tumor and node(ypTN)stage, and survival, including overall survival(OS)and recurrence-free survival (RFS) were analyzed by Kaplan-Meier analysis. The pathologically locally descending disease was defined as (ypT < T 2 and ypN=N 0) and pathologically locally advanced disease was defined as (ypT≥T 2 and/or ypN ≥N 1). Cox regression was used for univariate and multivariate analysis of OS and RFS. Results:Chi-square test or Fisher exact test analysis showed TRG was significantly associated with ypT stage ( P < 0.001), ypN stage ( P = 0.002), lympho-vascular invasion ( P<0.001) and variant histology ( P<0.001). The OS of patients with TRG 1, TRG 2 and TRG 3 were 20.5(10.3, 31.8), 17.0(11.0, 30.8)and 15.0(11.0, 26.0) months, respectively, and the difference was significantly different( P = 0.037). The RFS of patients with TRG 1, TRG 2 and TRG 3 were 15.0(8.3, 25.5), 15.0(8.0, 27.0)and 11.0(4.5, 25.5) months, respectively, and the difference was significantly different ( P=0.029). There were significant differences between patients with pathologically locally descending disease and locally advanced disease in OS [18.5(10.3, 30.8)vs.15.0(11.0, 27.3)months, P = 0.013] and RFS [14.0(8.0, 24.0)vs. 11.5(8.0, 26.8)months, P = 0.012]. Among patients with locally advanced pathology, the OS was 19.5(11.0, 32.5)months for patients with TRG ≤2, 13.5(10.8, 26.0)months for patients with TRG 3( P=0.140). The RFS was 12.0(8.0, 31.0)months for those patients with TRG ≤2 and 11.0(6.0, 26.0)months for those patients with TRG 3( P = 0.180). Cox univariate analyses showed that patients with TRG 3 were associated with decreased OS ( HR = 6.043, 95% CI 1.170-31.213, P = 0.032) and RFS ( HR = 6.354, 95% CI 1.231-31.802, P = 0.027). Conclusions:This study showed that TRG was correlated with OS and RFS among patients. The patients who had the higher TRG had the worse prognosis. It was confirmed that TRG predicted the prognosis of patients undergoing radical cystectomy after neoadjuvant chemotherapy. Therefore, TRG assessment is recommend in pathology report for patients who had radical cystectomy after neoadjuvant chemotherapy.

Objective:To evaluate the effectiveness and safety of coronavirus disease 2019 (COVID-19) vaccines for dialysis patients with chronic kidney disease.Methods:PubMed, Medline, Embase databases and CNKI, VIP, Wanfang databases were searched systematically. The deadline was April 25, 2022. The search terms included haemodialysis, peritoneal dialysis, vaccine, seroresponse, COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The main outcome included the positive rate after vaccination, antibody titer, antibody changes during follow-up, infection rate of SARS-CoV-2, hospitalization rate and mortality.Results:A total of 154 195 patients were analyzed in 26 studies. The results of meta-analysis showed that the positive rate of serum IgG antibody in patients with chronic kidney disease was 48% after the first dose of vaccine, 89% and 96% after the second dose and third dose, respectively. After vaccination with COVID-19 vaccines, there was no significant difference in serum antibody and titer between hemodialysis patients and peritoneal dialysis patients. However, compared with the healthy control group, the antibody positive rate and antibody titer of dialysis patients after vaccination were lower (both P<0.05). In the follow-up, the antibody positive rate at the third month decreased by 12% compared with at the first month, at the sixth month decreased by 15% compared with at the third month, and at the sixth month decreased by 20% compared with at the first month. The serum antibody positive rate after the third dose of vaccine increased by 38% ( RR=1.38, 95% CI 1.12-1.70, P<0.001), and the antibody titer increased significantly ( SMD=1.46, 95% CI 0.31-2.61, P<0.001). Although the vaccines could not reduce the infection rate of SARS-CoV-2 in dialysis patients, it could significantly reduce the hospitalization rate and mortality after infection. Conclusions:After vaccination with COVID-19 vaccines, dialysis patients can produce strong serum antibodies, which can reduce the hospitalization rate and mortality after SARS-CoV-2 infection. However, the duration of antibody is short and the titer level is low, so it is necessary to timely vaccinate booster vaccine dose to obtain stronger immunogenicity.