OBJECTIVE: To explore the optimal vertical traction weight, clinical efficacy, and safety of bidirectional cervical traction in the treatment of cervical kyphosis. METHODS: A total of 130 patients with neck pain and cervical kyphosis confirmed by cervical DR who visited the hospital from April 2023 to April 2024 were enrolled. They were divided into 4 groups according to the vertical traction weight accounting for 5%, 10%, 15%, and 20% of their body weight, respectively. The 5% body weight traction group included 33 cases (13 males and 20 females) with an average age of (34.00±10.58) years old;the 10% body weight traction group included 35 cases (17 males and 18 females) with an average age of (32.23±8.39) years old;the 15% body weight traction group included 32 cases (14 males and 18 females) with an average age of (33.88±10.09) years old;the 20% body weight traction group included 30 cases (11 males and 19 females) with an average age of (36.20±9.13) years old. Each group received treatment for 2 weeks. The visual analogue scale (VAS) score, neck disability index (NDI), and C₂-C₇ Cobb angle on cervical lateral X-ray films before and after treatment were recorded to evaluate the clinical efficacy of the 4 groups. RESULTS: When the traction weight was 10% and 15% of body weight, the pain VAS and NDI were significantly improved, and the C₂-C₇ Cobb angle increased, with statistically significant differences (P<0.05), and no adverse reactions occurred. However, in the 5% body weight group, the above indicators showed no significant changes, with no statistically significant differences (P>0.05). In the 20% body weight group, some patients could not tolerate the treatment, and adverse reactions such as dizziness, nausea, and aggravated neck pain occurred. CONCLUSION The optimal vertical traction weight of bidirectional cervical traction for cervical kyphosis is 10%-15% of body weight, which can effectively improve neck pain and cervical function, increase the C₂-C₇ Cobb angle of the cervical spine, with high safety, and is worthy of promotion and application.
Humans ; Male ; Female ; Traction/methods* ; Kyphosis/physiopathology* ; Adult ; Cervical Vertebrae/physiopathology* ; Middle Aged ; Neck Pain ; Young Adult

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

A deep learning based microwave imaging model which can directly map the scattered electric field to the dielectric property distribution image of the target object is developed,and its potential for medical applications is explored.The two-dimensional time-domain finite difference method is used for numerical simulation to obtain a dataset of scattered electric fields;a deep convolutional autoencoder based imaging model is constructed to perform imaging studies on two types of target objects;the imaging results are quantitatively evaluated using relative error,and the model's ability to distinguish different types of strokes is also analyzed.The results show that the imaging network based on deep convolutional autoencoder exhibits excellent imaging performance when processing both numerical models.For simple objects,the model can accurately locate and preliminarily reconstruct the shape of the object,with an average relative error of 0.3012,while for the stroke models,it can effectively reconstruct the location and shape of the stroke area,and preliminarily reconstruct other brain tissues,with an average relative error of 0.077 8.The microwave imaging network based on deep convolutional autoencoder has great promise for fast and accurate image reconstruction,and the numerical example of stroke detection demonstrates its significant application potential in biomedical imaging.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

A deep learning based microwave imaging model which can directly map the scattered electric field to the dielectric property distribution image of the target object is developed,and its potential for medical applications is explored.The two-dimensional time-domain finite difference method is used for numerical simulation to obtain a dataset of scattered electric fields;a deep convolutional autoencoder based imaging model is constructed to perform imaging studies on two types of target objects;the imaging results are quantitatively evaluated using relative error,and the model's ability to distinguish different types of strokes is also analyzed.The results show that the imaging network based on deep convolutional autoencoder exhibits excellent imaging performance when processing both numerical models.For simple objects,the model can accurately locate and preliminarily reconstruct the shape of the object,with an average relative error of 0.3012,while for the stroke models,it can effectively reconstruct the location and shape of the stroke area,and preliminarily reconstruct other brain tissues,with an average relative error of 0.077 8.The microwave imaging network based on deep convolutional autoencoder has great promise for fast and accurate image reconstruction,and the numerical example of stroke detection demonstrates its significant application potential in biomedical imaging.

Trihelix transcription factors play important roles in plant light responses, growth and development, and stress responses. However, Trihelix has not yet been reported in Eucommia ulmoides. In this study, bioinformatics methods were used to comprehensively identify and analyze the expression patterns of the Trihelix gene family in E. ulmoides, aiming to provide a basis for further functional studies of EuGTs genes. A total of 9 Trihelix gene family members were identified in E. ulmoides, encoding proteins with 339 to 883 amino acids, with isoelectric points ranging from 5.13 to 9.39 and relative molecular weights between 36 992.06 and 97 871.61. Subcellular localization results showed that only EuGT-2 was localized in chloroplasts, while the others were located in the nucleus. The Trihelix gene family was categorized into six subfamilies: GT-1, GT-2, SH4, SIP1, GTγ, and GTδ. EuGTs were distributed among three subfamilies: SH4, GT-1, and GT-2, containing 1, 6, and 2 Trihelix proteins, respectively, with 2 to 17 exons. The promoters of EuGTs contained various cis-acting elements related to hormones, stress, photoperiod, and growth and development. Collinearity analysis revealed 5 collinear gene pairs between E. ulmoides and Arabidopsis thaliana, and 14 collinear gene pairs between E. ulmoides and Populus. Expression pattern analysis showed that EuGTs exhibited tissue-specific expression: EuGT-1, EuGT-2 had the highest expression levels in leaves, EuGT-4, EuGT-6, EuGT-9 had the highest transcriptional levels in marginal peel, and EuGT-5、EuGT-8 were predominantly expressed in the xylem. As leaves developed, EuGTs showed a trend of asynchronous changes. No significant differences in EuGTs expression were observed between male and female flowers, with high expression levels mainly during the induction stage of flowering. The qRT-PCR analysis indicated that most EuGTs genes were most highly expressed in the leaves of E. ulmoides, while EuGT-5 was highly expressed in the stems. Under 200 mmol·L~(-1) NaCl treatment, most EuGTs genes exhibited an initial increase followed by a decrease in expression, significantly responding to salt stress. This study provides important genetic resources for further exploration of EuGTs gene functions and germplasm innovation in E. ulmoides.
Plant Proteins/metabolism* ; Gene Expression Regulation, Plant ; Eucommiaceae/chemistry* ; Phylogeny ; Multigene Family/genetics* ; Gene Expression Profiling ; Transcription Factors/metabolism* ; Genome, Plant/genetics*

AIM To rapidly screen xanthine oxidase(XOD)inhibitors from Smilax glabra Roxb.by enzyme-immobilized magnetic microspheres and LC-MS/MS,and to confirm the anti-uric acid constituents from S.glabra Roxb.METHODS The immobilized xanthine oxidase was prepared by covalent coupling with carboxyl magnetic beads as a carrier.The xanthine oxidase inhibitors in S.glabra were screened by the specific adsorption of immobilized enzyme.LC-MS/MS and standard substances were used for analysis and comparison,and the inhibitory activity and inhibition type of the screened and identified components were investigated.RESULTS The successful synthesis of immobilized xanthine oxidase was characterized by scanning electron microscopy and infrared spectroscopy.The enzyme loading was 70.50 μg/mg and the relative activity was 79.44%.Thirteen active compounds were screened from the extract of S.glabra,and eleven compounds were identified.The enzyme activity test showed that the inhibitory activites of engeletin and isoengeletin were the strongest,which was close to the positive control allopurinol.The IC50 value and inhibition type were 32.25 μg/mL,mixed inhibition,35.12 μg/mL,competitive inhibition.CONCLUSION The method is simple,rapid,accurate and suitable for directly screened active ingredients which can inhibit XOD from complex extract of traditional Chinese medicines.

Objective To analyze the influencing factors for the knowledge level,cognition willingness and atti-tude of health care workers(HCWs)towards monkeypox.Methods A cross-sectional survey was conducted,from January to April 2023,700 HCWs were randomly selected from a tertiary hospital in Shanghai.Based on a self-de-signed questionnaire,the survey was conducted anonymously through the online platform"Wenjuanxing".Results A total of 612 questionnaires were collected,581 were valid,with a response rate of 87.43％and an effective rate of 94.93％.The mean score of the questionnaire was(128.80±27.70)points,with a score rate of 58.54％.Multiple linear regression analysis showed that there were statistically significant differences in the knowledge level of mon-keypox among HCWs of different ages,occupations,departments,educational levels,years of working experience,professional titles,initiative cognition on monkeypox,and participation in monkeypox-related lectures organized by the units(all P＜0.05).Conclusion HCWs'cognition on monkeypox is at a moderate level.The training of HC-Ws on monkeypox knowledge should be strengthened to improve the emergency response capabilities during mon-keypox outbreaks.

Hydrogen sulfide,as a third gas signal molecule and neurotransmitter,can play a neuroprotective role by anti-oxidative stress,anti-inflammatory response,metabolic inhibition and other mechanisms.It is of great significance for the occurrence and development of neurodegenerative diseases including Alzheimer's disease(AD)and Parkinson's disease(PD)mediated by neuroinflammation.This article reviews the research progress of hydrogen sulfide and neuroinflammation and its mediated neurodegenerative diseases,so as to provide new ideas for the treatment of neurodegenerative diseases.