ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine （TCM） clinical scenarios， and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior （AP） and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st， 2023， and September 1st， 2024， via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed， combined with anatomical knowledge specific to TCM orthopedics， to optimize the feature extraction strategy of an artificial intelligence （AI） model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated， and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected， and were divided into a training set （11,144 images， 5066 AP and 6078 lateral）， a validation set （3700 images， 1840 AP and 1860 lateral）， and an independent test set （600 images， 300 AP and 300 lateral） after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination， when the degree error between AI measurement and manual measurement was ＜3° and ＜5°， AI measurement accuracy was 83% and 93%， respectively. In 300 lateral X-rays in the test set for palmar tilt， when AI measurements had an error of ＜3° and ＜5° compared to manual measurements， corresponding accuracy rate was 78% and 90%， respectively. For 50 X-ray images， AI measurement time was （1.37±0.05） min for radial inclination while manual measurement time was （22.57±2.52） min （P＜0.001）； in terms of palmar tilt， the AI measurement time was （1.33±0.14） min， shorter than （23.70±2.80） min for manual measurement time （P＜0.001）. Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established， enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.

Objective To quantitatively evaluate the structure and content of the long-term care policy for the older people in the 14th Five-Year Plan in China. Methods The primary indicators were constructed based on multi-source flow model,using Policy Modeling Consisten-cy(PMC)model,and the secondary indicators were constructed based on World Health Organization reports Long-term care for older people:Package for universal health coverage and Decade of healthy ageing:Plan of action.An evaluation system was formed,containing nine primary indicators and 35 secondary indicators.A total of eight policies issued by the nation between November,2021 and January,2024 were included.High-frequency words were extracted using ROSTCM 6.0,a semantic network map of keywords was created using Gephi,and the policies were analyzed using the evaluation system. Results The policies mainly focused on nursing,community,rehabilitation and nursing home,etc.The average PMC in-dex was 6.77.For the policy content coverage,one policy was perfect,five were excellent and two were accept-able.In the dimension of policy content,the indexes of three primary indicators of policy function,policy recep-tors and infrastructure construction were 0.85 or more;while the indexes of three primary indicators of caregiver assistance,support for the elderly and human resources building were 0.7 or less. Conclusion The content of long-term care policies for the older people issued in the 14th Five-Year Plan in China covers well in policy functions,policy recipients and infrastructure,and needs to be upgraded in the three dimensions of caregiver assistance,support for the elderly and human resource building.It is important to strengthen the policy content and measures in three areas,namely,the comprehensive care support network,the creation of an age-friendly environment and support for informal care.

Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

To investigate the associations of serum gamma-glutamyl transferase (GGT) levels with the risk of cardiovascular disease (CVD) and its subtypes in patients with type 2 diabetes mellitus (T2DM) in Jiangsu Province.Methods:The participants were enrolled in the Comprehensive Research project regarding 'Prevention and Control of Diabetes' in Jiangsu Province. The baseline survey was conducted from 2013 to 2014, and follow-up until December 31, 2021. After excluding the participants who self-reported with chronic liver disease/stroke/coronary heart disease at baseline survey and those with incomplete information on GGT, a total of 16 147 T2DM patients were included in the final analysis. Cox proportional hazard regression models were used to calculate the hazard ratio ( HR) and their 95% CI of GGT for CVD, myocardial infarction, and stroke. Restricted cubic spline models were applied to analyze the dose-response relationship between GGT and the risk of CVD and its subtypes. Results:During the median follow-up time of 8.02 years, 2 860 CVD cases were registered, including 196 cases of myocardial infarction and 2 730 cases of stroke. Multivariate Cox proportional risk regression model indicated that compared to the lowest serum GGT level group, the highest GGT level group had a 24% increased risk of CVD ( HR=1.24, 95% CI: 1.09-1.41) and a 23% increased risk of stroke ( HR=1.23, 95% CI: 1.08-1.40). The restricted cubic spline model showed a nonlinear dose-response relationship between GGT and the risk of CVD, myocardial infarction, and stroke in T2DM patients. Conclusions:High levels of GGT may be associated with an increased risk of cardiovascular disease in T2DM patients, which needs further exploration and validation in future clinical practice.

Objective:To study the distribution of species type, biotype and genotype of human Brucella isolated and identified in Nanjing. Methods:A total of 89 strains of human Brucella were collected from microbiology laboratories of three sentinel hospitals in Nanjing from 2017 to 2022. The species type was identified using biological methods and Brucella nucleic acid detection (BCSP31-PCR and AMOS-PCR). Further biotyping of Brucella melitensis isolates was conducted by serological results of A and M factors. Meanwhile, genotype analysis was performed using multiple-locus variable number tandem repeat analysis (MLVA), multilocus sequence typing (MLST) and single nucleotide polymorphism (SNP). Results:From 2017 to 2022, 89 strains of Brucella isolated and identified in Nanjing were all Brucella melitensis. Among them, Brucella melitensis biotype 3 accounted for 82.02% (73/89), and biotype 1 accounted for 17.98% (16/89). MLVA typing showed that 89 strains of Brucella melitensis belong to the "Eastern Mediterranean" cluster and could be divided into 50 MLVA genotypes; among which panel 1 had 3 genotypes, namely Type 42 (84.27%, 75/89), Type 63 (8.99%, 8/89) and Type 43 (6.74%, 6/89). The results of MLST-9 and MLST-21 were both ST8, and the core genome multilocus sequence typing (cgMLST) classified 89 strains into 11 genotypes. SNP analysis revealed a total of 4 013 SNP loci, with SNPs ranging from 0 to 409 across different strains, involving 59 SNP genotypes. Conclusions:The human Brucella strains isolated and identified in Nanjing are all Brucella melitensis, mainly biotype 3. The MLVA cluster is the "Eastern Mediterranean" cluster. The traditional MLST-9 and MLST-21 typing results are all ST8 type, while cgMLST divides all the strains into 11 genotypes with higher resolution.

Ovarian aging is one of the most common reproductive endocrine disorders in women of reproductive age, with an increasing incidence over the years. It is characterized by a decline or depletion of ovarian function, including follicle quantity and/or quality. Depending on the degree of ovarian function decline, it can be classified into diseases including diminished ovarian reserve, premature ovarian insufficiency, premature ovarian failure, etc., which are clinically characterized by ovulatory dysfunction, reproductive endocrine hormone disruption, and ultimately lead to a decline in female fertility. The pathogenesis is complex and varied, and the exact mechanism is unknown to date. Granulosa cells play a key role in ovarian hormone synthesis and disruption development, and many studies have shown that the programmed death of granulosa cells (apoptosis, pyroptosis, autophagy, ferroptosis, cuproptosis, etc.) may be closely related to the occurrence and development of ovarian aging. In this article, we present a systematic review of the relevant literature with the aim of exploring the relationship between programmed cell death in granulosa cells and ovarian aging.

Ovarian aging is one of the most common reproductive endocrine disorders in women of reproductive age, with an increasing incidence over the years. It is characterized by a decline or depletion of ovarian function, including follicle quantity and/or quality. Depending on the degree of ovarian function decline, it can be classified into diseases including diminished ovarian reserve, premature ovarian insufficiency, premature ovarian failure, etc., which are clinically characterized by ovulatory dysfunction, reproductive endocrine hormone disruption, and ultimately lead to a decline in female fertility. The pathogenesis is complex and varied, and the exact mechanism is unknown to date. Granulosa cells play a key role in ovarian hormone synthesis and disruption development, and many studies have shown that the programmed death of granulosa cells (apoptosis, pyroptosis, autophagy, ferroptosis, cuproptosis, etc.) may be closely related to the occurrence and development of ovarian aging. In this article, we present a systematic review of the relevant literature with the aim of exploring the relationship between programmed cell death in granulosa cells and ovarian aging.

C1 gases including CO, CO₂ and CH₄, are mainly derived from terrestrial biological activities, industrial waste gas and gasification syngas. Particularly, CO₂ and CH₄ are two of the most important greenhouse gases contributing to climate change. Bioconversion of C1 gases is not only a promising solution to addressing the problem of waste gases emission, but also a novel route to produce fuels or chemicals. In the past few years, C1-gas-utilizing microorganisms have drawn much attention and a variety of gene-editing technologies have been applied to improve their product yields or to expand product portfolios. This article reviewed the biological characteristics, aerobic or anaerobic metabolic pathways as well as the metabolic products of methanotrophs, autotrophic acetogens, and carboxydotrophic bacteria. In addition, gene-editing technologies (e.g. gene interruption technology using homologous recombination, group Ⅱ intron ClosTron technology, CRISPR/Cas gene editing and phage recombinase-mediated efficient integration of large DNA fragments) and their application in these C1-gas-utilizing microorganisms were also summarized.
Gene Editing ; Gases ; Carbon Dioxide ; Genetic Engineering ; Cloning, Molecular

Objective:To investigate the distribution and molecular characteristics of Yersinia isolated from diarrhea patients in Jiangsu Province. Methods:From 2017 to 2021, the stool samples of diarrhea patients were collected in Tongshan District of Xuzhou City and Dongtai City of Yancheng City, Jiangsu Province, where the national active monitoring sites of Yersinia enterocolitica, then Yersinia was isolated; meanwhile, suspected Yersinia strains were collected from sentinel hospitals in the province. The DNA of isolated strains was extracted for whole genome resequencing, and the data were uploaded to the EnteroBase database for Yersinia species identification; the original data were cleaned and processed for 16S ribosomal RNA (16S rRNA) gene polymorphism analysis. Five virulence genes (ail, ystA, ystB, yadA, virF) were scanned through the National Center for Biotechnology Information (NCBI) and Pathogen Virulence Factor Database (VFDB), and K-mer Tree was constructed and genomic characteristics were analyzed. Results:From 2017 to 2021, a total of 2 058 stool samples from diarrhea patients were collected, and 57 strains of Yersinia were isolated and identified; meanwhile, two Yersinia strains were collected from the sentinel hospital. Compared with EnteroBase database, 51 strains were identified as Yersinia enterocolitica, 4 strains as Yersinia proxima, 1 strain each as Yersinia aleksiciae, Yersinia massiliensis, Yersinia intermedia and Yersinia canariae. The 16S rRNA gene polymorphism analysis showed that all strains were clustered into 3 groups, which could distinguish Yersinia enterocolitica from other Yersinia. Among the 51 strains of Yersinia enterocolitica, 49 strains were virulence genotype Ⅲ(ail-, ystA-, ystB+, yadA-, virF-), two strains were virulence genotype Ⅱ(ail+, ystA+, ystB-, yadA-, virF-); and 8 other Yersinia strains were virulence genotype Ⅳ (ail-, ystA-, ystB-, yadA-, virF-). K-mer analysis could distinguish Yersinia enterocolitica from other Yersinia, JS-XZ-2020001 strain was far away from other Yersinia enterocolitica isolates, and serotype O8 strains were more concentrated. Conclusions:The clinical isolates of Yersinia enterocolitica from diarrhea patients are mainly Yersinia and other Yersinia co-exist in a small amount in Jiangsu Province, two new Yersinia species ( Yersinia proxima and Yersinia canariae) are discovered. The virulence genotype of Yersinia enterocolitica is mainly type Ⅲ. The 16S rRNA gene polymorphism analysis and K-mer analysis can effectively distinguish Yersinia enterocolitica from other Yersinia.

Objective:To evaluate the barrier-free level of village clinics of a city in the aging era, for references in improving the barrier-free medical environment for the elderlies.Methods:The village dectors of 156 village clinics in 12 counties of a city were selected as the objects of a questionnaire survey from Dec.2020 to Jan.2021, with 6 evaluation indexes established, each set with 1-10 points. This questionnaires was used to survey the barrier-free construction levels of village clinics. The data were statistically analyzed by rank sum ratio and quadrant graph model.Results:The barrier-free buildings of such clinics scored 32.86 points in average. Among the six indexes, the barrier-free access and doors(7.21 points) scored the highest, and the barrier-free parking space(4.71points) and toilets(3.28 points) scored the lowest. All the counties of the city fell into four categories, including 2 counties with high degree of aging-high level of accessibility, 4 counties with low degree of aging-high level of accessibility, 4 counties with low degree of aging-low level of accessibility, and 2 counties with high degree of aging-low level of accessibility, according to the quadrant graph model built based on the aging degrees and the barrier-free levels of village clinics.Conclusions:The barrier-free level of the village clinics in a city needs to be further improved, and the barrier-free transformation of parking space and toilets should also be strengthened in the future. The government should take different measures in view of conditions of each county to improve the accessibility of village clinics and facilitate the health care-seeking of elderlies.