1.Relationship of gross motor skills and perceptual motor abilities with physical activity levels in preschoolers
LI Yameng, ZHU Xiaotong, SHAO Tianzeng, YUE Fengshan, REN Yiqi, REN Yuanchun
Chinese Journal of School Health 2026;47(1):104-108
Objective:
To analyze the relationship of gross motor skills and perceptual motor abilities with physical activity levels in preschool children in a Beijing kindergarten, so as to provide a reference for promoting the development of motor competence.
Methods:
From September 2018 to March 2021, preschoolers aged 4-5 years were selected using convenience sampling method from an urban kindergarten in Beijing. The Test of Gross Motor Development-Third Version(TGMD-3) was used to assess basic preschoolers s gross motor skills ( n =152). The Pictorial Scale of Perceived Movement Skill Competence(PMSC) was used to evaluate perceptual motor skills ( n =151). Accelerometers (Actigraph GT3X) were used to record physical activity levels ( n =52). Data were analyzed using one way analysis of variance (ANOVA) and Pearson correlation coefficients.
Results:
The mean scores for gross motor skills and perceptual motor abilities were (38.76±13.48) and (35.49±6.50), respectively. The moderate to vigorous physical activity(MVPA) level was(52.60±27.44) minutes per day. No statistically significant correlations were found between gross motor skills, perceptual motor abilities MVPA among boys, girls or the overall group ( r =-0.20 to 0.25, all P >0.05). However, Boys locomotor skills, overall children s locomotor skills, and boys gross motor skills were all positively correlated with MVPA( r =0.34-0.45, all P <0.05).
Conclusion
There is a correlation between locomotor skills and physical activity levels in 4 to 5-year-old children.
2.Evaluation of Anti-osteoporosis Activity and Hepatotoxicity of Xianling Gubao Based on Zebrafish Model
Qiuman LI ; Yue QIAN ; Zixuan ZHU ; Yuan SONG ; Qian DENG ; Shengyun DAI ; Chongjun ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):87-94
ObjectiveTo investigate the association and translational mechanism between the hepatotoxicity of Xianling Gubao (XLGB) and its treatment of osteoporosis based on a zebrafish model. MethodsZebrafish were randomly selected four days after fertilization (4 dpf) and exposed to different concentrations of XLGB (0.7,0.35 mg·L-1) for 96 h. At the endpoint of the exposure, the mortality rates of zebrafish in the treatment groups of different concentrations were counted, and the "dose-toxicity" curves were plotted. The 10% sublethal concentration (LC10) was calculated. The liver area, acridine orange staining, and pathological tissue sections of transgenic zebrafish [CZ16 (gz15Tg.Tg (fabp 10a: ds Red; ela31: EGFP)] were used as indicators to confirm the hepatic damage caused by the sublethal concentration of XLGB. By using the prednisolone (PNSL)-induced osteoporosis model of zebrafish, the anti-osteoporosis activity of XLGB was evaluated by using the area of skull stained by alizarin red and the cumulative optical density value as indicators. Then, the toxicity difference of XLGB on the liver of zebrafish in healthy and osteoporotic states was compared, and the mechanism of the translational action of the toxicity of XLGB was predicted based on network pharmacology and real-time polymerase chain reaction(Real-time PCR). ResultsThe LC10 of XLGB on zebrafish (8 dpf) was 0.7 mg·L-1. Compared with the blank group, the sublethal concentration (LC10=0.7 mg·L-1, 1/2 LC10=0.35 mg·L-1) of XLGB induced an increase in the number of apoptosis of hepatocytes in a dose-dependent manner, and the tissue arrangement of the liver was disordered and loose. The vacuoles were obvious, and the fluorescence area of the liver was significantly reduced (P<0.01). Compared with the blank group, the mineralized area and cumulative optical density value of zebrafish skull in the PNSL model group were significantly reduced (P<0.01), and those in the 0.7,0.35 mg·L-1 XLGB treatment group were significantly increased compared with the model group (P<0.01). Most importantly, 0.7 mg·L-1 XLGB had no significant effect on the liver of zebrafish in the osteoporosis disease model compared with the blank group. The results of network pharmacology and real-time PCR experiments showed that the toxic transformation of XLGB might be related to the differences in the expression levels of key targets, such as tumor protein 53 (TP53), cysteine aspartic acid specific protease-3(Caspase-3), interleukin(IL)-6, and alkaline phosphatase(ALP) in different organismal states. ConclusionUnder certain conditions, XLGB has hepatotoxicity in normal zebrafish, but under osteoporotic conditions, XLGB not only exerts significant anti-osteoporosis activity but also alleviates hepatotoxicity significantly, which provides a reference for the safe clinical use of XLGB and real evidence for the theories of traditional Chinese medicine of attacking poison with poison and of treating disease with corresponding drugs without damage to the body.
3.Baicalein mitigates ferroptosis of neurons after subarachnoid hemorrhage
Ting ZHU ; Tingting YUE ; Yue CUI ; Yue LU ; Wei LI ; Chunhua HANG
Chinese Journal of Tissue Engineering Research 2025;29(1):52-57
BACKGROUND:Ferroptosis is a mode of programmed cell death distinct from apoptosis,necrosis,and other novel cellular deaths,which occurs mainly due to accumulated lipid peroxidation.Ferroptosis has been shown to be involved in the pathological process following subarachnoid hemorrhage.Baicalein,serving as an adept sequestered of iron,evinces its prowess by quelling lipid peroxidative cascades.Nonetheless,the enigma lingers as to whether baicalein possesses the capacity to ameliorate neuronal ferroptosis,elicited in the wake of early brain injury after subarachnoid hemorrhage. OBJECTIVE:To investigate the effect and mechanism of baicalein on neuronal ferroptosis after subarachnoid hemorrhage. METHODS:Primary neuronal cells were extracted from C57BL/6L fetal mice at 16-17 days of gestation.Hemoglobin was used to stimulate primary neuronal cells to simulate an in vitro subarachnoid hemorrhage model.The viability of primary neuronal cells treated with baicalein at concentrations of 5,15,25,50,and 100 μmol/L for 24 hours was detected by CCK-8 assay to determine the optimal concentration of baicalein.Primary neuronal cells were divided into control group,hemoglobin group,and hemoglobin+baicalein group.The levels of reactive oxygen species and malondialdehyde in cells were detected by kits.The mRNA expressions of ferroptosis-related markers PTGS2,SLC7A11,and glutathione peroxidase 4 were detected by RT-PCR.The primary neuronal cells were further divided into control group,SLC7A11 inhibitor Erastin group,hemoglobin group,hemoglobin+baicalein group,and hemoglobin+baicalein+Erastin group.The expression of the ferroptosis related markers SLC7A11 and glutathione peroxidase 4 was detected by western blot assay. RESULTS AND CONCLUSION:(1)Baicalein(25 μmol/L)was selected as the following experimental concentration.(2)Compared with the hemoglobin group,the level of malondialdehyde and the level of reactive oxygen species were significantly decreased(P<0.05)in the hemoglobin+baicalein group.(3)Compared with the hemoglobin group,the mRNA expression of PTGS2 significantly decreased,and the mRNA expression of SLC7A11 and glutathione peroxidase 4 significantly increased(P<0.000 1)in the hemoglobin+baicalein group.(4)SLC7A11 inhibitor Erastin could reverse the baicalin-improved ferroptosis effect to a certain extent(P<0.05).(5)The results showed that baicalein could alleviate the ferroptosis of neuronal cells after subarachnoid hemorrhage through the SLC7A11/GPX4 pathway.
4.Association between thyroid function levels and phenotypes associated with sarcopenia
Jiatong LI ; Yue JIN ; Runjia LIU ; Bowen SONG ; Xiaoqian ZHU ; Nianhu LI
Chinese Journal of Tissue Engineering Research 2025;29(6):1312-1320
BACKGROUND:Several observational studies have found a close relationship between thyroid function levels and sarcopenia,but the causal relationship between thyroid function levels and the onset of sarcopenia is not yet clear. OBJECTIVE:To investigate the causal relationship between thyroid function levels and sarcopenia using a two sample Mendelian randomization method. METHODS:A two sample Mendelian randomization analysis was conducted using genome-wide association study data on thyrotropin,free triiodothyronine,free tetraiodothyronine,subclinical hyperthyroidism,subclinical hypothyroidism,and four related phenotypes of sarcopenia-lefthand grip strength,right hand grip strength,limb lean mass,and gait speed.The inverse-variance weighted method,weighted median method,simple mode method,weighted median estimator method,and MR Egger regression method were used as analysis methods,while heterogeneity test,pleiotropy test,MR-PRESSO,leave-one-out method,funnel plot and other methods were used for sensitivity analysis. RESULTS AND CONCLUSION:Elevated levels of thyroid-stimulating hormone increased left-(β=0.02,SE=0.01,P=0.01)and right-handed grip strength(β=0.02,SE=0.01,P=0.01),an increase in free triiodothyronine decreased left-(β=-0.06,SE=0.02,P=9.5×10-5)and right-handed grip strength(β=-0.07,SE=0.02,P=9.3×10-5),and subclinical hyperthyroidism decreased gait speed(β=-4.4×10-3,SE=1.7×10-3,P=0.01).The sensitivity analysis results were basically consistent with the main analysis results.To conclude,an increase in thyroid-stimulating hormone is a protective factor for sarcopenia,and elevation of free triiodothyronine and subclinical hyperthyroidism may increase the risk of sarcopenia.
5.Literature analysis of aplasia anemia/pure red cell aplasia induced by pembrolizumab
Yue LI ; Shichao ZHANG ; Cheng XIE ; Jianguo ZHU ; Yun LI
China Pharmacy 2025;36(6):737-741
OBJECTIVE To analyze the clinical characteristics of aplastic anemia (AA)/pure red cell aplasia (PRCA) induced by pembrolizumab, and provide reference for clinical safe drug use. METHODS Using search terms as “pembrolizumab”, “keytruda”, “anemia” and “aplastic anemia” in both Chinese and English, the literature related to AA/PRCA induced by pembrolizumab were retrieved from PubMed, Embase, CNKI, Wanfang and VIP databases, and then analyzed descriptively and statistically. RESULTS A total of 10 patients were included from 10 literature; among these 10 patients, there were 5 males and 5 females, with 5 patients being aged 65 or above. The primary disease was mainly metastatic melanoma (4 cases). AA/PRCA occurred 13 d-3 years after the first dose of pembrolizumab. The main clinical manifestations included fatigue, dyspnea, oral/nasal bleeding, diffuse purpura, etc.; 8 cases developed moderate anemia and 2 cases developed severe anemia. After discontinuation and receiving supportive therapy, 5 cases improved, 1 case worsened in anemia, and 4 cases died. CONCLUSIONS When using pembrolizumab in clinical practice, blood routine should be regularly monitored. When AA/PRCA and other related symptoms occur, pembrolizumab should be stopped in time and a therapy regimen should be formulated according to the patient’ condition, to ensure the safety of medication.
6.Structural and Spatial Analysis of The Recognition Relationship Between Influenza A Virus Neuraminidase Antigenic Epitopes and Antibodies
Zheng ZHU ; Zheng-Shan CHEN ; Guan-Ying ZHANG ; Ting FANG ; Pu FAN ; Lei BI ; Yue CUI ; Ze-Ya LI ; Chun-Yi SU ; Xiang-Yang CHI ; Chang-Ming YU
Progress in Biochemistry and Biophysics 2025;52(4):957-969
ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.
7.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
9.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
10.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.


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