Objective To explore the accumulated effects of physical activity,sedentary behavior,and sleep on cardiorespiratory fitness(CRF)among college students and provide effective measures for enhancing their CRF. Methods From May to June in 2023,223 college students aged 18 to 24 years old were recruited from Tianjin University of Science and Technology for a 24 hours activity behavior survey and CRF testing.Compositional analysis was employed to investigate the relationships of physical activity,sedentary behavior,and sleep with CRF.Isotemporal substitution models were established to predict the effects of substituting various activity behaviors on CRF.Results The proportion of time spent on moderate-to-vigorous physical activity(MVPA)was positively correlated with CRF of college students(β=6.40,P=0.002),while the proportion of time spent on sedentary behavior was negatively correlated with CRF(β=-3.02,P=0.004).Light physical activity(LPA)and sleep were not correlated with CRF(β=-1.06,P=0.504).Isotemporal substitution results for 15-min increments showed that replacing other activity behaviors with MVPA significantly increased the CRF of college students[SB:1.72 mL/(kg·min),95% CI=0.94-2.51;LPA:1.82 mL/(kg·min),95% CI=0.95-2.68;sleep:1.64 mL/(kg·min),95% CI=0.84-2.45].In the dose-response relationship from -30 min to 30 min,reallocating time from other behaviors to MVPA had greater adverse effect on CRF than reallocating time from MVPA to other behaviors.Among all the substitutions,replacing LPA with MVPA had the most beneficial effect on improving CRF.Additionally,a 5-min increment was considered the optimal tipping point for MVPA replacing other activities.Conclusions This study underscores the importance of participating in MVPA for improving the CRF of college students.The isotemporal substitution model provides clear goals for the allocation of time for these behaviors,aiding in future intervention measure development and policy-making.
Humans ; Sedentary Behavior ; Sleep ; Students ; Cardiorespiratory Fitness ; Exercise ; Young Adult ; Adolescent ; Universities ; Male ; Female

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

Objective:To summarize the clinical characteristics, treatment, and prognosis of children with anti-GT1a antibody-positive Guillain-Barré syndrome (GBS).Methods:A case series study was conducted, including 25 children diagnosed with serum anti-GT1a antibody-positive GBS at Guangzhou Women and Children′s Medical Center from March 2019 to December 2024. Clinical data, treatment protocols, and follow-up outcomes were analyzed. Mann Whitney U test was used to compare the changes in Hughes functional grading scale (HFGS). Results:A total of 25 children included 12 boys and 13 girls, and the age at first onset was (71±8) months. There were 16 children (64%) had preceding infections, and of which 13 children had predominantly respiratory tract infections. At disease peak, neurological manifestations included limb weakness (21 cases (84%)), bulbar palsy (13 cases (52%)), drowsiness (7 cases (28%)), limb pain (9 cases (36%)), ataxia (6 cases (24%)), respiratory muscle paralysis (5 cases (20%)), ophthalmoplegia (5 cases (20%)), and unilateral facial nerve palsy (4 cases (16%)). Cerebrospinal fluid analysis in 23 children revealed albuminocytological dissociation in 18 children. All 25 children underwent whole-spine magnetic resonance imaging (MRI), demonstrated spinal nerve root enhancement in 18 children, with leptomeningeal enhancement combined with spinal nerve root enhancement in 1 child. Electromyography in 16 children showed 15 children abnormality, of which demyelinating lesions in 8 children, mixed demyelinating-axonal changes in 4 children, and pure axonal involvement in 3 children. Intravenous immunoglobulin (IVIG) was administered to 21 cases (84%), of which 3 children required mechanical ventilation and blood purification (plasma exchange in 2 children and immunoadsorption in 1 child) due to disease progression. Four children (16%) received intravenous methylprednisolone (IVMP) instead of IVIG, with 1 child requiring ventilatory support due to respiratory muscle paralysis, and the tracheal tube was removed after continued sequential IVMP treatment. The hospitalization duration of 25 children was (23±3) d. At discharge, HFGS was 1.6 (0.6, 2.7) score. At a follow-up of 12 (4, 18) months, HFGS was 0.1 (0.0, 0.5) score, and higher than that at discharge ( Z=4.38, P<0.05). Two children relapsed but achieved remission after IVIG retreatment with no recurrence during 1-year follow-up. Conclusions:Anti-GT1a antibody-positive GBS in children predominantly presents with limb weakness and bulbar palsy, occasionally complicated by respiratory failure in the acute phase. Demyelinating neuropathy and spinal nerve root enhancement on MRI are characteristic. IVIG therapy yields favorable outcomes, with low residual disability. Relapses are rare but manageable with re-treatment.

AIM To investigate the effects of Huazhuo Jiedu Shugan Formula(HJSGF)on improving learning and memory impairment in a rat model of vascular dementia(VD)via SIRT1/PGC-1α/PPARγ pathway.METHODS The SD rats were randomly divided into the sham control group,the model group,the donepezil group(0.5 mg/kg),and the low-,medium-and high-dose HJSGF groups(2.7,5.4,10.8 g/kg),with 10 rats in each group.The VD rat models established by bilateral common carotid artery permanent ligation(2-VO)had their neurological behavior assessment using the Longa5-point scale,and their modeling success confirmed by the Morris water maze test and their 3-week corresponding dosing of drugs by gavage afterward.After the drug administration,the rats had their spatial memory ability tested through behavioral experiments;their serum levels of IL-18 and IL-1β measured by ELISA;their histopathological changes and neuronal morphology in the hippocampal CA1 region observed by HE staining and Nissl staining;and their hippocampal protein expressions of SIRT1,PGC-1α and PPARγ detected by immunohistochemistry and Western blot.RESULTS Compared with the sham control group,the model group showed prolonged escape latency(P＜0.01);decreased platform crossing times and target quadrant residence time(P＜0.01);disorganized arrangement of hippocampal CA1 neurons,nuclear condensation,reduced Nissl bodies,increased secretion and protein expressions of IL-1β and IL-18(P＜0.01);and reduced hippocampal protein expressions of SIRT1,PGC-1α and PPARγ(P＜0.01).Compared with the model group,the groups intervened with donepezil or HJSGF showed shortened escape latency(P＜0.05,P＜0.01);increased platform crossing times and target quadrant residence time(P＜0.05,P＜0.01);alleviated damage of the hippocampal CA1 region,reduced secretion and protein expressions of IL-1β and IL-18(P＜0.05,P＜0.01);and elevated hippocampal protein expressions of SIRT1,PGC-1α and PPARγ(P＜0.05,P＜0.01).CONCLUSION HJSGF may alleviate the inflammatory responses in VD rats and therefore improve their learning and memory impairment by activating the SIRT1/PGC-1α/PPARγ signaling pathway.

Objective:To construct a full-length infectious clone of enterovirus D68（EV-D68）expressing enhanced green fluorescent protein（EGFP）by reverse genetics in order to provide an efficient tool for studying the biological characteristics and screening antiviral drugs for EV-D68.Methods:Gene synthesis and overlap PCR techniques were used to construct the full-length clone plasmid pUC57-EV-D68 of EV-D68. The full-length viral sequence was then transferred into the pCAGGS plasmid to obtain the pCAGGS-EV-D68 plasmid. The EGFP gene was amplified and inserted into the pCAGGS-EV-D68 plasmid to construct the pCAGGS-EGFP-EV-D68 plasmid. Then，the two constructed plasmids were transfected into human rhabdomyosarcoma（RD）cells to rescue recombinant viruses RV-EV-D68 and RV-EGFP-EV-D68. The rescued viruses were identified using PCR，Western blot，and immunofluorescence techniques. The antiviral effect of doxycycline was evaluated using the rescued RV-EGFP-EV-D68. Statistical analysis was performed using the two independent samples t-test. Results:The recombinant virus RV-EGFP-EV-D68 capable of expressing EGFP was successfully rescued. Even after 15 serial passages，the virus retained EGFP expression with no significant difference in viral titers compared to the parental virus，indicating its stable passage in RD cells. Besides，the rescued strains exhibited similar replication characteristics to the parental virus. While at 24 and 36 h after infection，the titers of the rescued strains were significantly lower than that of the parental strain（both P<0.05）. This study demonstrated that doxycycline significantly reduced the fluorescence intensity of RV-EGFP-EV-D68-infected RD cells（ P<0.01）. Meanwhile，a negative correlation was observed between the doxycycline concentration and the fluorescence intensity，indicating that the rescued virus could be used for antiviral drug evaluation. Conclusions:This study successfully constructs an infectious clone of EV-D68 expressing EGFP. The rescued recombinant virus RV-EGFP-EV-D68 has been verified to be applicable for the evaluation of antiviral drugs.

Objective To explore an assessment model for multi-level integrated training in health service based on advanced intelligent trauma simulators in order to innovate health service training.Methods An assessment model for multi-level integrated training that involved advanced trauma simulators was adopted to assess chains of treatment and rescue that were composed of multi-hierarchy medical institutions.The assessment focused on trauma emergency response capabilities at each level and the overall therapeutic effect.Results In terms of capabilities for treatment and rescue,group B was the best one,followed by group C and group A.As for the overall therapeutic effect,group A was outstanding,followed by group B and group C.Based on the priorities of combat casualty care,the final results of assessment were as follows:group A was the best one,followed by group B and group C.Conclusion The analysis of processes and outcomes of assessment reveals the edge of this model,as evidenced by the continuity of treatment and rescue,integrity of overall effectiveness,and adaptability of this assessment model.

AIM To establish the HPLC characteristic chromatograms for Yixin Fumai Granules,and to determine the contents of sodium danshensu,protocatechualdehyde,chlorogenic acid,calycosin-7-O-β-D-glucoside,ferulic acid,rosalinic acid,salvianolic acid A,salvianolic acid B,schisandrol A.METHODS The analysis was performed on a 35 ℃ thermostatic Acutfex PA-C18 column(4.6 mm ×250 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 210,250,280,320 nm.Subsequently,cluster analysis and principal component analysis were performed.RESULTS There were 11 characteristic peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.980.Nine constituents showed good linear relationships within their own ranges(r≥0.999 6),whose average recoveries were 97.60％-107.02％with the RSDs of 0.78％-1.87％.Various batches of samples were clustered into 4 categories,2 principal components demonstrated the accumulative variance contribution rate of 89.454％.CONCLUSION This sensitive and reproducible method can provide a reference for the quality evaluation and control of Yixin Fumai Granules.

Objective:To construct a full-length infectious clone of enterovirus D68（EV-D68）expressing enhanced green fluorescent protein（EGFP）by reverse genetics in order to provide an efficient tool for studying the biological characteristics and screening antiviral drugs for EV-D68.Methods:Gene synthesis and overlap PCR techniques were used to construct the full-length clone plasmid pUC57-EV-D68 of EV-D68. The full-length viral sequence was then transferred into the pCAGGS plasmid to obtain the pCAGGS-EV-D68 plasmid. The EGFP gene was amplified and inserted into the pCAGGS-EV-D68 plasmid to construct the pCAGGS-EGFP-EV-D68 plasmid. Then，the two constructed plasmids were transfected into human rhabdomyosarcoma（RD）cells to rescue recombinant viruses RV-EV-D68 and RV-EGFP-EV-D68. The rescued viruses were identified using PCR，Western blot，and immunofluorescence techniques. The antiviral effect of doxycycline was evaluated using the rescued RV-EGFP-EV-D68. Statistical analysis was performed using the two independent samples t-test. Results:The recombinant virus RV-EGFP-EV-D68 capable of expressing EGFP was successfully rescued. Even after 15 serial passages，the virus retained EGFP expression with no significant difference in viral titers compared to the parental virus，indicating its stable passage in RD cells. Besides，the rescued strains exhibited similar replication characteristics to the parental virus. While at 24 and 36 h after infection，the titers of the rescued strains were significantly lower than that of the parental strain（both P<0.05）. This study demonstrated that doxycycline significantly reduced the fluorescence intensity of RV-EGFP-EV-D68-infected RD cells（ P<0.01）. Meanwhile，a negative correlation was observed between the doxycycline concentration and the fluorescence intensity，indicating that the rescued virus could be used for antiviral drug evaluation. Conclusions:This study successfully constructs an infectious clone of EV-D68 expressing EGFP. The rescued recombinant virus RV-EGFP-EV-D68 has been verified to be applicable for the evaluation of antiviral drugs.

Objective:To summarize the clinical characteristics, treatment, and prognosis of children with anti-GT1a antibody-positive Guillain-Barré syndrome (GBS).Methods:A case series study was conducted, including 25 children diagnosed with serum anti-GT1a antibody-positive GBS at Guangzhou Women and Children′s Medical Center from March 2019 to December 2024. Clinical data, treatment protocols, and follow-up outcomes were analyzed. Mann Whitney U test was used to compare the changes in Hughes functional grading scale (HFGS). Results:A total of 25 children included 12 boys and 13 girls, and the age at first onset was (71±8) months. There were 16 children (64%) had preceding infections, and of which 13 children had predominantly respiratory tract infections. At disease peak, neurological manifestations included limb weakness (21 cases (84%)), bulbar palsy (13 cases (52%)), drowsiness (7 cases (28%)), limb pain (9 cases (36%)), ataxia (6 cases (24%)), respiratory muscle paralysis (5 cases (20%)), ophthalmoplegia (5 cases (20%)), and unilateral facial nerve palsy (4 cases (16%)). Cerebrospinal fluid analysis in 23 children revealed albuminocytological dissociation in 18 children. All 25 children underwent whole-spine magnetic resonance imaging (MRI), demonstrated spinal nerve root enhancement in 18 children, with leptomeningeal enhancement combined with spinal nerve root enhancement in 1 child. Electromyography in 16 children showed 15 children abnormality, of which demyelinating lesions in 8 children, mixed demyelinating-axonal changes in 4 children, and pure axonal involvement in 3 children. Intravenous immunoglobulin (IVIG) was administered to 21 cases (84%), of which 3 children required mechanical ventilation and blood purification (plasma exchange in 2 children and immunoadsorption in 1 child) due to disease progression. Four children (16%) received intravenous methylprednisolone (IVMP) instead of IVIG, with 1 child requiring ventilatory support due to respiratory muscle paralysis, and the tracheal tube was removed after continued sequential IVMP treatment. The hospitalization duration of 25 children was (23±3) d. At discharge, HFGS was 1.6 (0.6, 2.7) score. At a follow-up of 12 (4, 18) months, HFGS was 0.1 (0.0, 0.5) score, and higher than that at discharge ( Z=4.38, P<0.05). Two children relapsed but achieved remission after IVIG retreatment with no recurrence during 1-year follow-up. Conclusions:Anti-GT1a antibody-positive GBS in children predominantly presents with limb weakness and bulbar palsy, occasionally complicated by respiratory failure in the acute phase. Demyelinating neuropathy and spinal nerve root enhancement on MRI are characteristic. IVIG therapy yields favorable outcomes, with low residual disability. Relapses are rare but manageable with re-treatment.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.