In order to investigate the mechanical response of lumbar vertebrae during gait cycle in adolescents with idiopathic scoliosis (AIS), the present study was based on computed tomography (CT) data of AIS patients to construct model of the left support phase (ML) and model of the right support phase (MR), respectively. Firstly, material properties, boundary conditions and load loading were set to simulate the lumbar vertebra-pelvis model. Then, the difference of stress and displacement in the lumbar spine between ML and MR was compared based on the stress and displacement cloud map. The results showed that in ML, the lumbar stress was mostly distributed on the convex side, while in MR, it was mostly distributed on the concave side. The stress of the two types of stress mainly gathered near the vertebral arch plate, and the stress of the vertebral arch plate was transmitted to the vertebral body through the pedicle with the progress of gait. The average stress of the intervertebral tissue in MR was greater than that in ML, and the difference of stress on the convex and convex side was greater. The displacement of lumbar vertebrae in ML decreased gradually from L1 to L5. The opposite is true in MR. In conclusion, this study can accurately quantify the stress on the lumbar spine during gait, and may provide guidance for brace design and clinical decision making.
Humans ; Lumbar Vertebrae/diagnostic imaging* ; Scoliosis/diagnostic imaging* ; Adolescent ; Gait/physiology* ; Biomechanical Phenomena ; Tomography, X-Ray Computed ; Stress, Mechanical ; Female ; Male

BACKGROUND:The regulatory mechanisms of acupotomy intervention for knee osteoarthritis at a transcriptome level are not well understood despite its proven clinical efficacy.OBJECTIVE:Using acupotomy therapy in a rat model of knee osteoarthritis,to conduct transcriptome sequencing and bioinformatics analysis on cartilage samples,along with validation,and to reveal the molecular regulatory mechanisms involved in this therapy for knee osteoarthritis in rats.METHODS:Forty-eight Sprague-Dawley rats were selected and divided into three groups by random number table method,acupotomy group,model group,and sham operation group,with 16 rats in each group.Osteoarthritis models were induced by medial meniscus instability in the acupotomy group and model group.After successful modeling,acupotomy group rats were treated with acupotomy once a week,for 4 weeks in total.After the intervention,cartilage samples from the rat's knee joint were stained with hematoxylin-eosin staining and safranin O-fast green staining,evaluated by Mankin scores,and underwent MicroCT scanning.Serum inflammatory factor levels were detected by Elisa.Transcriptome sequencing was performed on the remaining cartilage samples,and the data were analyzed using R software to identify differential gene expression levels among the groups.Core targets were screened through protein-protein interaction network and Cytoscape and validated using RT-qPCR.RESULTS AND CONCLUSION:Compared with the sham operation group,rats in the model group had rough and uneven articular cartilage surfaces,narrowed joint spaces,destroyed articular surface structures,elevated Mankin scores,and significant increases in serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase 13(P<0.05).Compared with the model group,rats in the acupotomy group had smoother articular cartilage surfaces,wider joint spaces,slightly irregular articular surfaces,lower Mankin scores,and significantly lower serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase-13(P<0.05).Gene ontology and Kyoto genome and genome encyclopedia analyses involved proteolytic metabolism,autophagy,mitogen-activated protein kinase,nuclear factor kB,and Wnt signaling pathways.Protein-protein interaction network and Cytoscape screened for four key genes,including ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.The mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the model group was lower than that of the sham operation group(P<0.05),while the mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the acupotomy group was higher than that in the model group(P<0.05).To conclude,acupotomy treatment of knee osteoarthritis in rats may act on signaling pathways such as MAPK,nuclear factor kB,and Wnt to promote cartilage repair,and is closely related to the expression of genes associated with ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.

Objective:To explore the longitudinal predictive relationship between self-neglect and frailty among older adults.Methods:Data were drawn from the Chinese Longitudinal Healthy Longevity Survey conducted in 2011 (T1), 2014 (T2), and 2018 (T3). A total of 1 495 older adults aged≥65 years at T1 who participated in three consecutive surveys and had no missing key variables were included. General demographic information, self-neglect scores, and frailty status were extracted. Spearman correlation analysis was used to examine the association between self-neglect and frailty. Cross-lagged analysis was employed to investigate the potential causal relationship between the two variables.Results:The self-neglect scores for 1 495 older adults at T1, T2, and T3 were (2.84±1.39), (2.47±1.30), and (2.41±1.20), respectively, showing a declining trend. The frailty scores at T1, T2, and T3 were 0 (0, 1.00), 0 (0, 2.00), and 1.00 (0, 2.00), respectively, indicating an increasing trend. Cross-lagged analysis revealed that self-neglect at T1 positively predicted frailty at T2 (β=0.076, P=0.004). Frailty at both T1 and T2 positively predicted self-neglect at T2 (β=0.057, P=0.044) and T3 (β=0.058, P=0.029), respectively. Conclusions:Frailty among older adults positively predicts self-neglect, and self-neglect also has a certain predictive effect on frailty. Medical staff should strengthen early screening and intervention for frailty in older adults to delay the occurrence and progression of self-neglect.

Objective:To explore the epidemiological characteristics of human metapneumovirus (hMPV) in children hospitalized for acute respiratory tract infections in Hebei, and provide a theoretical basis for the clinical diagnosis and treatment of acute respiratory tract infections in children in Hebei.Methods:Retrospectively, 41 499 children hospitalized in Hebei Children′s Hospital for acute respiratory tract infections from January 2017 to December 2021 were included to analyze the morbidity of children of different genders and ages, and in different seasons, and to statistically analyze the epidemiological data such as the positive detection rate of hMPV, the detection rates of mixed infections with other pathogens, and the clinical diagnosis.Results:The overall positive detection rate of hMPV in hospitalized children with acute respiratory infections from 2017 to 2021 was 5.94%(2 464/41 499), with the highest positive detection rate of hMPV in the age group of 3 to 4 years (7.66%, 520/6 789) and the lowest in the age group of ≥5 years (2.89%, 180/6 225), with a statistically significant difference ( P<0.001); the positive detection rates in male and female children were respectively 5.97%(1 496/25 056) and 5.94%(968/16 443), and the difference was not statistically significant ( P>0.05). The positive detection rates of hMPV from 2017 to 2021 were 5.10%(408/7 998), 9.64%(915/9 491), 4.27%(426/9 969), 5.91%(368/6 226), and 4.44%(347/7 815), respectively, and the positive detection rate of hMPV in 2018 was significantly higher than that in the other years ( P<0.001). hMPV circulated throughout the year, with obvious seasonality, with the highest positive detection rate in spring and winter.The mixed detection rate of hMPV with other respiratory pathogens was 42.74% (1 053/2 464), of which mixed detection with rhinovirus was the most common, with a mixed detection rate of 48.24%(508/1 053).Clinical diagnosis of hPMV-positive children was mostly bronchopneumonia. Conclusions:hMPV is one of the important pathogens in hospitalized children with acute respiratory infections in Hebei, which is common in children under 5 years of age and can occur throughout the year, with peak epidemics in winter and spring. Mixed infections of hMPV with other respiratory pathogens are common and can increase the risk of worsening clinical symptoms in children.

Objective To explore the normal reference range of perchlorate content in the urine of primary school students, and compare whether there are differences in their urine perchlorate contents among different populations, and to provide reference for the health care of primary school students. Methods A total of 441 primary school students aged 6 to 15 years old in a certain city were selected, and their urine samples were collected. The contents of perchlorate in the urine were determined by ultra-high performance liquid chromatography coupled with mass spectrometry, and the measurement data was statistically analyzed using SPSS software. Results There was no significant gender difference in the content of perchlorate in the urine of primary school students, but there was an age difference. The normal reference range for the content of perchlorate in the urine of primary school students aged 6-9 years old was 0-99.09 μg/L, and the normal reference range for the content of perchlorate in the urine of primary school students aged 10-15 years old was 0-74.56 μg/L. Conclusion Through the measurement and analysis of a large number of samples, a normal reference range for the content of urinary perchlorate in primary school students have been recommended.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Objective:To explore the longitudinal predictive relationship between self-neglect and frailty among older adults.Methods:Data were drawn from the Chinese Longitudinal Healthy Longevity Survey conducted in 2011 (T1), 2014 (T2), and 2018 (T3). A total of 1 495 older adults aged≥65 years at T1 who participated in three consecutive surveys and had no missing key variables were included. General demographic information, self-neglect scores, and frailty status were extracted. Spearman correlation analysis was used to examine the association between self-neglect and frailty. Cross-lagged analysis was employed to investigate the potential causal relationship between the two variables.Results:The self-neglect scores for 1 495 older adults at T1, T2, and T3 were (2.84±1.39), (2.47±1.30), and (2.41±1.20), respectively, showing a declining trend. The frailty scores at T1, T2, and T3 were 0 (0, 1.00), 0 (0, 2.00), and 1.00 (0, 2.00), respectively, indicating an increasing trend. Cross-lagged analysis revealed that self-neglect at T1 positively predicted frailty at T2 (β=0.076, P=0.004). Frailty at both T1 and T2 positively predicted self-neglect at T2 (β=0.057, P=0.044) and T3 (β=0.058, P=0.029), respectively. Conclusions:Frailty among older adults positively predicts self-neglect, and self-neglect also has a certain predictive effect on frailty. Medical staff should strengthen early screening and intervention for frailty in older adults to delay the occurrence and progression of self-neglect.

BACKGROUND:The regulatory mechanisms of acupotomy intervention for knee osteoarthritis at a transcriptome level are not well understood despite its proven clinical efficacy.OBJECTIVE:Using acupotomy therapy in a rat model of knee osteoarthritis,to conduct transcriptome sequencing and bioinformatics analysis on cartilage samples,along with validation,and to reveal the molecular regulatory mechanisms involved in this therapy for knee osteoarthritis in rats.METHODS:Forty-eight Sprague-Dawley rats were selected and divided into three groups by random number table method,acupotomy group,model group,and sham operation group,with 16 rats in each group.Osteoarthritis models were induced by medial meniscus instability in the acupotomy group and model group.After successful modeling,acupotomy group rats were treated with acupotomy once a week,for 4 weeks in total.After the intervention,cartilage samples from the rat's knee joint were stained with hematoxylin-eosin staining and safranin O-fast green staining,evaluated by Mankin scores,and underwent MicroCT scanning.Serum inflammatory factor levels were detected by Elisa.Transcriptome sequencing was performed on the remaining cartilage samples,and the data were analyzed using R software to identify differential gene expression levels among the groups.Core targets were screened through protein-protein interaction network and Cytoscape and validated using RT-qPCR.RESULTS AND CONCLUSION:Compared with the sham operation group,rats in the model group had rough and uneven articular cartilage surfaces,narrowed joint spaces,destroyed articular surface structures,elevated Mankin scores,and significant increases in serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase 13(P<0.05).Compared with the model group,rats in the acupotomy group had smoother articular cartilage surfaces,wider joint spaces,slightly irregular articular surfaces,lower Mankin scores,and significantly lower serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase-13(P<0.05).Gene ontology and Kyoto genome and genome encyclopedia analyses involved proteolytic metabolism,autophagy,mitogen-activated protein kinase,nuclear factor kB,and Wnt signaling pathways.Protein-protein interaction network and Cytoscape screened for four key genes,including ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.The mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the model group was lower than that of the sham operation group(P<0.05),while the mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the acupotomy group was higher than that in the model group(P<0.05).To conclude,acupotomy treatment of knee osteoarthritis in rats may act on signaling pathways such as MAPK,nuclear factor kB,and Wnt to promote cartilage repair,and is closely related to the expression of genes associated with ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.