OBJECTIVE: To investigate correlation between preoperative C ₂ slope (C2S) and effectiveness at 2 years after short-segment anterior cervical discectomy and fusion (ACDF), with the aim of providing reliable indicators for predicting effectiveness. METHODS: One hundred and eighteen patients with cervical spondylotic myelopathy, who received short-segment ACDF between January 2018 and December 2022 and met the selection criteria, were enrolled in the study. There were 46 males and 72 females, aged from 26 to 80 years, with a mean age of 53.6 years. The operative duration was (127.6±33.46) minutes and the intraoperative blood loss was (34.75±30.40) mL. All patients were followed up 2 years. The pre- and post-operative Neck Disability Index (NDI), Japanese Orthopaedic Association (JOA) score, and visual analogue scale (VAS) score for pain were recorded. Based on the anteroposterior and lateral cervical X-ray films, the sagittal parameters of the cervical spine were measured [C ₂-C ₇ Cobb angle, C ₀-C ₂ Cobb angle, T ₁ slope, C2S, sagittal segmental angle (SSA) of the surgical segment, and average surgical disc height (ASDH) of the surgical segment]. Statistical analyses were performed to assess the differences in these indicators between pre- and post-operation, as well as the correlations between the preoperative C2S and the JOA score, NDI, and VAS score at 2 years after operation. The patients were allocated into group A (C2S >11.73°) and group B (C2S≤ 11.73°) according to the median value of the preoperative C2S (11.73°). The JOA score, NDI, and VAS score before operation and at 2 years after operation, as well as the differences between pre- and post-operative values (change values), were compared between the two groups. RESULTS: The T ₁ slope, C ₂-C ₇ Cobb angle, C ₀-C ₂ Cobb angle, SSA, and ASDH at immediate after operation and JOA score, NDI, and VAS score at 2 years after operation significantly improved in 118 patients when compared with preoperative ones ( P<0.05). Pearson correlation analysis showed that preoperative C2S was not correlated with JOA score and NDI at 2 years after operation ( P>0.05), but negatively correlated with VAS score ( P<0.05). There were 59 patients with preoperative C2S>11.73° (group A) and 59 with C2S≤11.73° (group B). There was no significant difference in preoperative JOA score, NDI, and VAS score between the two groups ( P>0.05). There were significant differences in VAS score at 2 year after operation and the change value between the two groups ( P<0.05); there was no significant difference in the JOA score and NDI ( P>0.05). CONCLUSION Patients with cervical spondylotic myelopathy and a higher preoperative C2S exhibited superior long-term pain relief and effectiveness following short-segment ACDF.
Humans ; Male ; Spinal Fusion/methods* ; Female ; Middle Aged ; Cervical Vertebrae/diagnostic imaging* ; Diskectomy/methods* ; Aged ; Adult ; Treatment Outcome ; Aged, 80 and over ; Spondylosis/diagnostic imaging* ; Pain Measurement ; Preoperative Period ; Follow-Up Studies

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

With the continuous advancement of modern medical technology,wearable patch ultrasound technology is emerging as a crucial tool for real-time and dynamic monitoring of visual information within the human body.This technology seamlessly integrates the precision of ultrasound with the convenience of wearable devices,enabling continuous and dynamic monitoring of internal physiological parameters,and providing a more accurate and efficient method for medical diagnosis and health monitoring.Wearable patch ultrasound can obtain the image information of human body in real time,including the structure and functional status of the heart,blood vessels,muscles,and bones,facilitating early disease detection and diagnosis.This review summarizes the major clinical application scenarios and frontier research advances of wearable patch ultrasound and discusses the opportunities and challenges in the future.

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Fatty liver is common disease of nutritional metabolism in the perinatal period,character-ized by elevated levels of NEFA in the blood and disorders of lipid metabolism.High concentra-tions of NEFA damage mitochondria and promote the release of reactive oxygen species(ROS).At the same time,lipid peroxidation occurs in lipid accumulation in hepatocytes,producing free radi-cals such as ROS,which leads to oxidative stress in the liver.When the level of intracellular ROS increases,thioredoxin-interacting protein(TXNIP)activates nucleotide-binding oligomerization structure-like protein 3(NLRP3)inflammasomes,and oxidative stress can regulate pyroptosis,but it is unclear whether reactive oxygen species(ROS)produced by oxidative stress in hepatocytes can mediate pyroptosis and induce liver injury in dairy cows through the TXNIP/NLRP3 pathway.In this study,liver tissue samples from healthy dairy cows and fatty liver cows were collected,and NEFA was used to construct a fatty liver cell model,and triglyceride(TG)content and oxidative stress related indicators were detected by kit.Western blot was used to detect the activation of NL-RP3 inflammasomes,the inflammatory pathway of NF-κB and the expression levels of pyroptosis-related proteins.Fluorescence quantitative PCR was used to detect the relative expression level of inflammatory factor mRNA.The results showed that compared with the healthy(control)group,the TG content of fatty liver tissue and fatty liver cells was significantly increased(P＜0.05),the activities of SOD and GSH-Px were significantly decreased(P＜0.05),and the protein expression levels of TXNIP,NLRP3,GSDMD-N and Caspase-1 were significantly up-regulated(P＜0.05).The results of the antioxidant model of fatty hepatocytes using NEFA and antioxidants(NAC)showed that compared with the fatty hepatocyte model,the content of ROS in hepatocytes was sig-nificantly reduced,and oxidative stress,NLRP3 inflammasome activation and pyroptosis were alle-viated.In summary,this study found that when fatty liver disease occurs in dairy cows,ROS pro-duced by oxidative stress in the liver can mediate pyroptosis through the TXNIP/NLRP3 path-way,which can lead to liver injury in fatty liver cows.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective:To explore the biodistribution characteristics of mixed activated killer (MAK) immune cells in immunodeficient mice after administration.Methods:Ninety-six immune immunodeficient (NOG) mice (half male and half female) were equally divided into MAK cell group and solvent control group. The MAK cell group mice were injected with DiR-labeled MAK cells via the tail vein, while those in the solvent control group were injected with an equal amount of solvent via the tail vein. The number of MAK cells in the peripheral blood of mice was detected using a flow cytometry at 11 time points from 15 minutes to 84 days after administration. The distribution of MAK cells in mice was measured using in vivo bioluminescence imaging at 18 time points from 5 minutes to 84 days after administration. And at 8 time points from 3 hours to 84 days after administration, the heart, liver, spleen, lungs, kidneys, brain, stomach, duodenum, colon, bone marrow, fat, skeletal muscle, testes/uterus, epididymis/ovary, and blood were collected from corresponding mice. The DNA levels of MAK cells in blood and various organs of these mice were detected using fluorescence real-time quantitative polymerase chain reaction (qPCR) method.Results:The flow cytometry results showed that MAK cells could be detected in the peripheral blood of mice 15 minutes after administration, and the highest number of MAK cells in blood appeared during 3 hours to 1 day. By 14 days after administration, MAK cells were almost undetectable in peripheral blood of mice. In vivo bioluminescence imaging results showed that the fluorescence intensity of MAK cells in mice was strongest on days 1 and 2 after administration, and MAK cells were mostly distributed in the liver, spleen, lung, and leg bone of mouse. The qPCR detection results showed that MAK cells were mainly distributed in the spleen and lungs. High levels of MAK cell DNA amplification were observed in organs such as the spleen and lungs 28-56 days after administration, and a certain amount of MAK cell DNA could still be detected in organs of mice such as the spleen at 84 days.Conclusions:After administration, MAK cells were mainly distributed in the spleen, lung, liver and other organs of NOG mice. From 28 to 56 days after administration, MAK cells are significantly activated and proliferate, and a certain amount of MAK cell DNA can still be detected in the spleen and other organs after 84 days in mice.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.