With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.

Objective:To evaluate the early-to-mid-term efficacy of supramalleolar osteotomy (SMO) in the treatment of traumatic ankle arthritis secondary to peri-ankle fracture.Methods:A retrospective study was conducted to analyze the clinical data of 29 patients who had been treated for traumatic ankle arthritis secondary to old peri-ankle fracture by SMO from March 2018 to March 2023 at Department of Foot and Ankle Surgery, Beijing Jishuitan Hospital. There were 14 males and 15 females, 39.0 (25.0, 49.0) years in age. Types of old fracture: 4 lower tibiofibular fractures, 19 ankle fractures, and 6 pilon fractures. Surgery was conducted for 16 cases and conservative treatment for the remaining 13 cases. The interval between the old fracture and the current surgery was 10.0 (2.0, 19.5) years. The clinical efficacy was evaluated using the ankle-hindfoot score of American Association of Foot and Ankle Surgery (AOFAS), foot function index (FFI), and visual analog scale (VAS) pain score. Imaging analysis was conducted and imaging comparisons were made between pre-surgery and post-surgery in terms of tibial anterior surface (TAS) angle, tibial lateral surface (TLS) angle, talar tilt (TT) angle, and changes in modified Takakura staging. Complications were recorded. Surgical satisfaction was investigated at the final follow-up.Results:The 29 patients were followed up for 17.0 (14.0, 23.5) months. The AOFAS ankle-hindfoot score [(84.2±9.6) points], FFI [7.0 (3.0, 10.9) points], VAS pain score [2.0 (1.0, 3.0) points], and TAS angle [90.84° (86.70°, 92.50°)] at the final follow-up for all patients were significantly better than the pre-surgery values [(68.0±16.7) points, 20.9 (6.1, 29.1) points, 5.0 (2.0, 8.0) points, and 78.63° (74.30°, 85.00°)] (all P<0.05). At the final follow-up, the ankle arthritis grading did not show any significant change ( P>0.05) and there were no significant differences in TT angle or TLS angle between pre-surgery and post-surgery ( P>0.05). Incision failed to heal in 1 case, incision healing was delayed in 3 cases, and ankle arthritis progressed on imaging in 6 cases. As for patient self-assessed satisfaction, 23 cases felt very satisfactory, 4 cases quite satisfactory, and 2 cases common, giving an overall satisfaction rate of 93.1% (27/29). Conclusions:SMO has led to good early-to-mid-term efficacy in the treatment of traumatic ankle arthritis secondary to peri-ankle fracture, showing obvious pain relief and functional improvement after correction of the ankle joint alignment, limited postoperative complactions and a high rate of patient satisfaction.

Objective To explore the risk factors of respiratory failure(RF)in patients with Klebsiella pneumoniae pneumonia(KPN).Methods A total of 79 KPN patients admitted to Jilin Provincial People's Hospital from July 2023 to July 2024 were selected as subjects.Patients were divided into RF group(n=42)and non-RF group(n=37)based on RF comorbidity status.Independent risk factors for RF comorbidity were identified through univariate analysis and multivariate Logistic regression,with model predictive performance evaluated using receiver operating characteristic(ROC)curve.Results Compared to non-RF group,serum procalcitonin(PCT)levels were higher and serum albumin(ALB)and oxygenation index were lower in RF group(P＜0.05).Univariate analysis identified age,bedridden status,number of comorbidities,PCT,oxygenation index,ALB,multi-lobar infiltration,and mechanical ventilation as significant predictors of RF development in KPN patients.Multivariate Logistic analysis showed that elevated PCT levels,decreased oxygenation index,and reduced ALB were independent risk factors for RF in KPN patients,with area under the ROC curve of predictive model being 0.884.Conclusion When blood PCT is elevated,blood ALB is reduced,and the oxygenation index is decreased,the likelihood of RF in KPN patients is significantly increased.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

OBJECTIVE: To summarize the research and clinical application progress of foot lengthening surgery. METHODS: Relevant research literature on foot lengthening surgery in recent years at home and abroad was reviewed, and a summary was made from aspects such as the types of lengthening surgery, the types of foot diseases treated by clinical application, effectiveness, and complications. RESULTS: Bone defects and shortening deformities of the foot are relatively common clinically. As an innovative treatment method, foot lengthening surgery has gradually attracted attention, mainly including the Ilizarov technique and one-stage bone grafting lengthening surgery. The former promotes bone regeneration based on the tension-stress principle and is widely used in the treatment of calcaneal defects and congenital metatarsal brachymetatarsia, achieving good curative effects. However, there are also complications such as pin-tract infection, joint stiffness and contracture, non-union and delayed union of bone, re-fracture, and alignment deviation. The latter has a short treatment cycle, but the lengthening length is limited. Bone graft resorption and soft tissue complications are its main complications. CONCLUSION Foot lengthening surgery will develop towards the direction of personalization, intelligence, and precision. With the help of multi-center research, biological materials, and intelligent technologies, the effectiveness and safety will be further improved to better restore the function and appearance of the foot.
Humans ; Bone Transplantation/methods* ; Bone Lengthening/methods* ; Ilizarov Technique ; Osteogenesis, Distraction/methods* ; Foot Deformities/surgery* ; Postoperative Complications ; Treatment Outcome ; Foot/surgery*

L-citrulline is a nonprotein amino acid that plays an important role in human health and has great market demand. Although microbial cell factories have been widely used for biosynthesis, there are still challenges such as genetic instability and low efficiency in the biosynthesis of L-citrulline. In this study, an efficient, plasmid-free, non-inducible L-citrulline-producing strain of Escherichia coli BL21(DE3) was engineered by combined strategies. Firstly, a chassis strain capable of synthesizing L-citrulline was constructed by block of L-citrulline degradation and removal of feedback inhibition, with the L-citrulline titer of 0.43 g/L. Secondly, a push-pull-restrain strategy was employed to enhance the L-citrulline biosynthesis, which realized the L-citrulline titer of 6.0 g/L. Thirdly, the NADPH synthesis and L-citrulline transport were strengthened to promote the synthesis efficiency, which achieved the L-citrulline titer of 11.6 g/L. Finally, fed-batch fermentation was performed with the engineered strain in a 3 L fermenter, in which the L-citrulline titer reached 44.9 g/L. This study lays the foundation for the industrial production of L-citrulline and provides insights for the modification of other amino acid metabolic networks.
Citrulline/biosynthesis* ; Escherichia coli/genetics* ; Metabolic Engineering/methods* ; Fermentation ; NADP/biosynthesis*

Objective To explore the risk factors of respiratory failure(RF)in patients with Klebsiella pneumoniae pneumonia(KPN).Methods A total of 79 KPN patients admitted to Jilin Provincial People's Hospital from July 2023 to July 2024 were selected as subjects.Patients were divided into RF group(n=42)and non-RF group(n=37)based on RF comorbidity status.Independent risk factors for RF comorbidity were identified through univariate analysis and multivariate Logistic regression,with model predictive performance evaluated using receiver operating characteristic(ROC)curve.Results Compared to non-RF group,serum procalcitonin(PCT)levels were higher and serum albumin(ALB)and oxygenation index were lower in RF group(P＜0.05).Univariate analysis identified age,bedridden status,number of comorbidities,PCT,oxygenation index,ALB,multi-lobar infiltration,and mechanical ventilation as significant predictors of RF development in KPN patients.Multivariate Logistic analysis showed that elevated PCT levels,decreased oxygenation index,and reduced ALB were independent risk factors for RF in KPN patients,with area under the ROC curve of predictive model being 0.884.Conclusion When blood PCT is elevated,blood ALB is reduced,and the oxygenation index is decreased,the likelihood of RF in KPN patients is significantly increased.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.