BACKGROUND:The local immune microenvironment plays an important regulatory role in the process of bone formation,and the immune system is intricately linked to the skeletal system.OBJECTIVE:To systematically review the promotion of bone regeneration from three aspects:immune cell regulation of microenvironment,regulation of immune response by small extracellular vesicles,and induction of immune response by bone biomaterials,and to elucidate the immune regulatory mechanisms involved in bone regeneration.METHODS:Relevant literature was retrieved from PubMed,CNKI,WanFang Database,and VIP Database,using the search terms of"osteoimmunology,immune microenvironment,small extracellular vesicles,bone regeneration,bone tissue repair,biomaterials,and tissue engineering"in English and Chinese.Repeat and irrelevant literature was screened and removed,and 92 articles that met the criteria were selected for intensive reading and review.RESULTS AND CONCLUSION:Multiple immune cells and bone cells are in the same microenvironment,and immune cells can regulate the differentiation and activity of bone cells,collectively forming an immune microenvironment that affects bone regeneration.Neutrophils can significantly reduce local inflammatory responses in the early stages of bone injury,creating a favorable microenvironment for bone regeneration.M1 macrophages can clear foreign bodies and reduce early inflammatory responses,while M2 macrophages can promote the expression of osteogenic markers and factors,playing an important role in the repair process of bone injury.B cells and T cells can directly or indirectly affect the generation and activity of osteoblasts and osteoclasts,regulate bone metabolism,and promote bone regeneration.Extracellular vesicles of small cells regulate the local immune microenvironment through paracrine secretion,promoting bone formation and angiogenesis at the site of bone injury.The metal ions,surface hydrophilicity,porosity,pore size,surface morphology,and surface roughness on the surface of biomaterials can directly regulate local immune responses,and have anti-inflammatory,angiogenic,and osteogenic effects,thereby accelerating bone regeneration.

BACKGROUND:The local immune microenvironment plays an important regulatory role in the process of bone formation,and the immune system is intricately linked to the skeletal system.OBJECTIVE:To systematically review the promotion of bone regeneration from three aspects:immune cell regulation of microenvironment,regulation of immune response by small extracellular vesicles,and induction of immune response by bone biomaterials,and to elucidate the immune regulatory mechanisms involved in bone regeneration.METHODS:Relevant literature was retrieved from PubMed,CNKI,WanFang Database,and VIP Database,using the search terms of"osteoimmunology,immune microenvironment,small extracellular vesicles,bone regeneration,bone tissue repair,biomaterials,and tissue engineering"in English and Chinese.Repeat and irrelevant literature was screened and removed,and 92 articles that met the criteria were selected for intensive reading and review.RESULTS AND CONCLUSION:Multiple immune cells and bone cells are in the same microenvironment,and immune cells can regulate the differentiation and activity of bone cells,collectively forming an immune microenvironment that affects bone regeneration.Neutrophils can significantly reduce local inflammatory responses in the early stages of bone injury,creating a favorable microenvironment for bone regeneration.M1 macrophages can clear foreign bodies and reduce early inflammatory responses,while M2 macrophages can promote the expression of osteogenic markers and factors,playing an important role in the repair process of bone injury.B cells and T cells can directly or indirectly affect the generation and activity of osteoblasts and osteoclasts,regulate bone metabolism,and promote bone regeneration.Extracellular vesicles of small cells regulate the local immune microenvironment through paracrine secretion,promoting bone formation and angiogenesis at the site of bone injury.The metal ions,surface hydrophilicity,porosity,pore size,surface morphology,and surface roughness on the surface of biomaterials can directly regulate local immune responses,and have anti-inflammatory,angiogenic,and osteogenic effects,thereby accelerating bone regeneration.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Although video-assisted thoracoscopic surgery (VATS) offers clear advantages, including minimal trauma and rapid recovery, stable intraoperative visualization still depends heavily on the camera assistant. Traditional manual endoscope holding is therefore susceptible to several limitations, including image instability, assistant fatigue, and poor coordination with the primary surgeon. Operating in complex and confined anatomical spaces with a rigid thoracoscope further increases the demands on hand-eye coordination. Thoracoscopic camera-holding technology has progressively evolved from passive support systems to active camera holders and robot-assisted thoracic surgery (RATS) platforms, and is now advancing toward artificial intelligence-driven tracking and intelligent control. Based on this, a series of devices, including multifunctional intelligent assistant arms and active camera-holding arms for thoracic surgery, have been developed and have attracted increasing attention. This article reviews the development of intelligent camera-holding assistant arms and discusses related advances and future directions in the field.

OBJECTIVE:To systematically evaluate the clinical effectiveness of rehabilitation robots in treating lower limb motor dysfunction in patients with cerebral palsy,and to compare the differences in therapeutic effects among different robots.METHODS:PubMed,Web of Science,Embase,Cochrane Library,CNKI,CBM,VIP and WanFang databases were searched to collect randomized controlled trials on rehabilitation robotics for the treatment of motor dysfunction in patients with cerebral palsy,published from database inception to April 10,2024.The main outcome indicators included muscle strength,muscle tension,balance function,step speed,step frequency,step length,walking endurance,lower limb motor function,and activities of daily living.The above indicators were coded according to the International Classification of Functioning,Disability and Health.Meta-analysis was performed to evaluate the clinical efficacy and compare the therapeutic efficacy of different rehabilitation robots.Literature search and screening were performed by two researchers,and the quality of the included literature was evaluated using the Cochrane 5.1.0 risk of bias assessment tool.Meta-analysis was performed using RevMan 5.4 software and Stata 16.0 software.RESULTS:(1)Fifteen articles were finally included,involving 512 patients with 260 in the experimental group and 252 in the control group.(2)The Meta-analysis results showed that rehabilitation robots could improve body structure and function[standardized mean difference=0.41,95%confidence interval(CI):0.24-0.58,P<0.05],activities(standardized mean difference=0.53,95%CI:0.41-0.65,P<0.05)and participation ability(mean difference=7.86,95%CI:1.54-14.18,P<0.05).In particular,the rehabilitation robot improved lower limb muscle strength,balance function,step speed,walking endurance,lower limb gross motor function,and activities of daily living in patients with cerebral palsy,but showed insignificant effects on step frequency,step length,and muscle tension.(3)The network Meta-analysis results showed that:step speed:Innowalkpro>Gait Trainer>Lokomat>3DCalt;6-minute walk test score:Gait Trainer>Lokomat>Lokohelp>Innowalkro;Gross Motor Function Measure-88D score:Lokohelp>Lokomat>KidGo>Innowalkpro>3DCalt;Gross Motor Function Measure-88E score:Lokomat>Lokohelp>KidGo>3DCalt>Innowalkpro.CONCLUSION:Based on the International Classification of Functioning,Disability,and Health,rehabilitation robot training can improve the lower limb motor function and activities of daily living in patients with cerebral palsy.The Innowalkpro robot was more effective in improving step speed;the Gait trainer robot was more effective in improving 6-minute walk test scores;the Lokohelp robot was more effective in improving Gross Motor Function Measure-88D zone scores;and the Lokomat robot was more effective in improving Gross Motor Function Measure-88E zone scores.

Objective To explore the changes in neural activity in patients with type 2 diabetes mellitus(T2DM)and their corre-lation with executive function,and to analyze the neural mechanisms underlying the decline in executive function in T2DM patients.Methods Thirty-one T2DM patients(T2DM group)and thirty-two healthy controls(HC)(HC group)matched for body mass index(BMI)underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans and N-back task tests were included.Differ-ences in the amplitude of low-frequency fluctuation(ALFF),regional homogeneity(ReHo),and seed-based functional connectivity(FC)between the two groups were compared,and partial correlation analyses were performed between the difference results and N-back task performance.Results The T2DM group showed prolonged reaction time(RT)in the 1-back and 2-back tasks.T2DM patients exhibited increased ALFF in the bilateral caudate nucleus,left medial superior frontal gyrus,and right postcentral gyrus,as well as elevated ReHo in the right putamen.FC analysis revealed significant alterations in FC between the caudate nucleus,putamen,and multiple brain regions in T2DM patients,with some of these FC changes significantly correlated with RT and accuracy(ACC)in the N-back task.Conclusion The decline in executive function in T2DM patients may be associated with abnormal neural activity in brain regions such as the striatum,salience network,and frontoparietal control network.FC further decreases under increased cognitive load.These findings provide evidence for the study of the neural mechanisms of executive function impairment in T2DM patients.

OBJECTIVE:To systematically evaluate the clinical effectiveness of rehabilitation robots in treating lower limb motor dysfunction in patients with cerebral palsy,and to compare the differences in therapeutic effects among different robots.METHODS:PubMed,Web of Science,Embase,Cochrane Library,CNKI,CBM,VIP and WanFang databases were searched to collect randomized controlled trials on rehabilitation robotics for the treatment of motor dysfunction in patients with cerebral palsy,published from database inception to April 10,2024.The main outcome indicators included muscle strength,muscle tension,balance function,step speed,step frequency,step length,walking endurance,lower limb motor function,and activities of daily living.The above indicators were coded according to the International Classification of Functioning,Disability and Health.Meta-analysis was performed to evaluate the clinical efficacy and compare the therapeutic efficacy of different rehabilitation robots.Literature search and screening were performed by two researchers,and the quality of the included literature was evaluated using the Cochrane 5.1.0 risk of bias assessment tool.Meta-analysis was performed using RevMan 5.4 software and Stata 16.0 software.RESULTS:(1)Fifteen articles were finally included,involving 512 patients with 260 in the experimental group and 252 in the control group.(2)The Meta-analysis results showed that rehabilitation robots could improve body structure and function[standardized mean difference=0.41,95%confidence interval(CI):0.24-0.58,P<0.05],activities(standardized mean difference=0.53,95%CI:0.41-0.65,P<0.05)and participation ability(mean difference=7.86,95%CI:1.54-14.18,P<0.05).In particular,the rehabilitation robot improved lower limb muscle strength,balance function,step speed,walking endurance,lower limb gross motor function,and activities of daily living in patients with cerebral palsy,but showed insignificant effects on step frequency,step length,and muscle tension.(3)The network Meta-analysis results showed that:step speed:Innowalkpro>Gait Trainer>Lokomat>3DCalt;6-minute walk test score:Gait Trainer>Lokomat>Lokohelp>Innowalkro;Gross Motor Function Measure-88D score:Lokohelp>Lokomat>KidGo>Innowalkpro>3DCalt;Gross Motor Function Measure-88E score:Lokomat>Lokohelp>KidGo>3DCalt>Innowalkpro.CONCLUSION:Based on the International Classification of Functioning,Disability,and Health,rehabilitation robot training can improve the lower limb motor function and activities of daily living in patients with cerebral palsy.The Innowalkpro robot was more effective in improving step speed;the Gait trainer robot was more effective in improving 6-minute walk test scores;the Lokohelp robot was more effective in improving Gross Motor Function Measure-88D zone scores;and the Lokomat robot was more effective in improving Gross Motor Function Measure-88E zone scores.

Background and purpose:The microphthalmia-associated transcription factor(MITF)plays a complex role in melanoma pathogenesis and progression.It is known to regulate multiple processes both in melanocytes and melanoma cells.While numerous studies have explored MITF in cutaneous melanoma(CM),research in acral melanoma(AM)is still limited.This study retrospectively analyzed the correlation between MITF expression and clinical,pathological characteristics and prognosis in AM patients,providing a basis for prognosis evaluation and personalized treatment plan formulation for patients.Methods:Patients who underwent primary resection of AM at Fudan University Shanghai Cancer Center from March 2008 to February 2022 were included.All surgical samples were diagnosed by clinical histopathology and used to construct the tissue microarray(TMA).This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:2203-ZZK-69-3).Cutting complete tissue microarray and evaluating MITF expression levels by immunohistochemistry(IHC)staining were carried out.The results were independently assessed and scored by three pathologists.Clinical and pathological data were collected from the hospital's electronic medical record system,and each patient's data was matched to their corresponding tissue sample on the chip.Patients were stratified into two groups based on MITF expression levels.Statistical analyses were performed to assess differences in clinical,pathological characteristics and survival outcomes between these two groups.Results:A total of 137 AM patients were included.MITF expression was significantly associated with T stage,N stage,American Joint Committee on Cancer(AJCC)stage,clark level,sentinel lymph node status,and presence of ulceration.Among these,N stage and ulceration were independent risk factors for high expression of MITF after adjusting for confounding factors.Survival analysis showed that AM patients with high MITF expression or higher T stage were associated with shorter disease-free survival(DFS).Patients with high MITF expression showed no significant difference in overall survival(OS)between observation or cytokine therapy and adjuvant immune checkpoint inhibitor(ICI)therapy,whereas those with low MITF expression derived significant survival benefits from ICI treatment.Conclusion:A higher N stage or the presence of ulceration indicates high MITF expression in tumor cells,with high MITF levels serving as a warning signal for early recurrence,metastasis,and even death.Patients with low MITF expression could receive improved OS with early adjuvant ICI therapy.MITF could not only serve as an auxiliary diagnostic marker for melanoma but also provide a basis for clinical prognosis assessment and the formulation of personalized treatment plans.

Objective To explore the changes in neural activity in patients with type 2 diabetes mellitus(T2DM)and their corre-lation with executive function,and to analyze the neural mechanisms underlying the decline in executive function in T2DM patients.Methods Thirty-one T2DM patients(T2DM group)and thirty-two healthy controls(HC)(HC group)matched for body mass index(BMI)underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans and N-back task tests were included.Differ-ences in the amplitude of low-frequency fluctuation(ALFF),regional homogeneity(ReHo),and seed-based functional connectivity(FC)between the two groups were compared,and partial correlation analyses were performed between the difference results and N-back task performance.Results The T2DM group showed prolonged reaction time(RT)in the 1-back and 2-back tasks.T2DM patients exhibited increased ALFF in the bilateral caudate nucleus,left medial superior frontal gyrus,and right postcentral gyrus,as well as elevated ReHo in the right putamen.FC analysis revealed significant alterations in FC between the caudate nucleus,putamen,and multiple brain regions in T2DM patients,with some of these FC changes significantly correlated with RT and accuracy(ACC)in the N-back task.Conclusion The decline in executive function in T2DM patients may be associated with abnormal neural activity in brain regions such as the striatum,salience network,and frontoparietal control network.FC further decreases under increased cognitive load.These findings provide evidence for the study of the neural mechanisms of executive function impairment in T2DM patients.