Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.

Objective:To analyze the disease burden and economic burden of stroke attributed to smoking and tobacco exposure in public places among residents of Hangzhou before and after the implementation of the regulations on smoking control in public places of Hangzhou City (2019) ("Regulations").Methods:It was a cross-sectional study. Data were obtained from the tobacco use survey and stroke mortality surveillance system in Hangzhou in 2018 and 2021. Population Attributable Fractions and Disability-Adjusted Life Years (DALYs) attributable to smoking and tobacco exposure in public places were calculated following the methodology framework of the Global Burden of Disease Study 2019 (GBD 2019). The economic burden of stroke disease attributable to smoking and tobacco exposure in public places, was calculated based on medical costs, direct non-medical costs and indirect cost data obtained from a self-designed questionnaire.Results:The smoking rate in Hangzhou decreased from 43.03% in 2018 to 34.73% in 2021 for males, whereas it marginally increased from 0.75% to 0.97% for females. The tobacco exposure rate in public places decreased from 53.74% to 35.73% for males and from 35.24% to 23.03% for females. The DALY rate for stroke attributable to smoking decreased from 92.13×10 -5 to 71.04×10 -5 for males, whereas it increased from 1.49×10 -5 to 1.83×10 -5 for females. Similarly, the DALY rate for stroke attributable to tobacco exposure in public places decreased from 70.52×10 -5 to 45.22×10 -5 for males and from 43.91×10 -5 to 29.64×10 -5 for females. The total economic burden of stroke attributable to smoking and tobacco exposure in public places in Hangzhou City in 2018 was 398.996 3 million yuan and 476.554 2 million yuan, respectively; both of them decreased to 349.448 6 million yuan and 339.157 0 million yuan in 2021, respectively. Conclusions:The implementation of the new version of the "Regulations" has achieved remarkable tobacco control effects in Hangzhou. The burden of disease and the economic burden of stroke attributable to smoking and exposure to tobacco in public places are significantly reduced.

Objective To investigate the damage characteristics of peri-implant bones with varying densities under impact and occlusal forces using numerical simulation.Methods A finite element model of the microstructure of an implant and bones with different densities was established.Impact and occlusal forces were applied sequentially to the implant.A user material subroutine was created for failure judgment using stress-based failure criteria,enabling the analysis of bone damage caused by impact and occlusal forces.Results No cortical bone damage was observed in bones of varying densities under impact force.Damage primarily occurred in the trabecular bone at the base of the implant,with the extent of damage worsening as bone density decreased.Additionally,the number of failed bone elements generated by the damage increased with reduced bone density.Bone tissues with pre-existing impact damage sustained secondary damage when subjected to occlusal force:the bonding interface between the implant and cortical bone was damaged,leading to implant displacement and fracture of peri-implant trabecular bone.The damage caused by occlusal force also worsened as bone density decreased.Conclusions The degree of damage from impact and occlusal forces is correlated with bone density,with damage worsening as bone density decreases.This underscores the protective role of cortical bone.The application of occlusal force exacerbates bone tissue damage,leading to implant displacement when the cortical bone is damaged.In clinical practice,patients with a history of impact damage should undergo thorough examination and evaluation.The occlusal force borne by damaged bones should be reduced;if necessary,the implant should be removed and reinserted after re-establishment of osseointegration.

Objective:To explore the therapeutic methods and drug-symptom patterns of Traditional Chinese Medicine (TCM) for idiopathic pulmonary fibrosis (IPF) at different stages under the guidance of the " three-stage differentiated management" principle.Methods:Under the three-stage principle, 133 IPF prescriptions treated by prof. Yan Jun from 2017.2-2023.12 were analyzed. Disease and category information of each eligible case was entered into the " FangNet" platform. Association and cluster analyses were performed for core herbs, key herb pairs, and symptom-drug relationships, aiming to uncover the clinical medication characteristics and rules in the three stages.Results:(1) Early inflammatory stage: phlegm-stasis harassment, incipient but unformed masses, superficial disease location; priority was dispelling wind, dispersing pathogen, clearing lung and resolving phlegm-commonly used: ephedra, stemona, processed pinellia, peucedanum, armeniaca. (2) Mid injury stage: formed phlegm-stasis, struggle of pathogen and healthy Qi, impaired lung collaterals, obstructive phlegm-stasis, excess pathogen with intact healthy Qi; emphasis on expelling pathogen, resolving phlegm, activating blood and dredging collaterals-e.g., angelica, pheretima, bombyx, scorpio. (3) Late fibrotic stage: healthy Qi deficiency with excess pathogen, phlegm-stasis masses entrenched in collaterals; treatment focuses on tonifying lung and dissolving masses, combining dredging and tonifying to regulate Qi and blood-e.g., pinellia, rhodiola, ginseng, gecko.Conclusions:Phlegm-stasis as excess pathogen and dual deficiency of lung-kidney run through all three stages of IPF. The rise and fall of healthy Qi vs pathogen and the degree of mass formation determine stage-specific therapeutic strategies and drug-pattern adjustments.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

In epidemiological statistics, the incidence rate and mortality rate of malignant lung tumors rank among the top. Non-small cell lung cancer (NSCLC) constitutes an important part of lung cancer and has become a key focus of clinical research and treatment. Among the genomic characteristics of NSCLC, the Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation is one of the main tumor drivers, accounting for approximately 25% of all NSCLC cases. The existence of this mutation is closely related to the treatment response and prognosis of patients. Therefore, the treatment strategy for KRAS-mutated NSCLC is an important topic in the field of tumor research. In the current era, immunomodulatory therapy has rapidly gained popularity and developed rapidly in oncology due to its unique mechanism of action and remarkable clinical efficacy. The treatment strategies targeting the KRAS-mutated of NSCLC have gradually become a research hotspot. The advent of immune checkpoint inhibitors (ICIs) has opened up a new therapeutic avenue for patients with such cancers, and clinical studies have shown significant effects in improving survival rates. Nevertheless, there are still many challenges in the application of immunotherapy, such as the complexity of the tumor microenvironment, individual differences among patients, and drug resistance mechanisms. This article reviews the progress of immunotherapy for KRAS-mutated NSCLC, focusing on the specific application of immunotherapy, the exploration of combination therapies, and the results of related clinical trials. At the same time, it discusses the possible future development directions of KRAS-mutated NSCLC treatment, providing a reference for clinical treatment practice.
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Humans ; Carcinoma, Non-Small-Cell Lung/immunology* ; Lung Neoplasms/immunology* ; Proto-Oncogene Proteins p21(ras)/immunology* ; Immunotherapy/methods* ; Mutation ; Animals

OBJECTIVE: To establish a three-dimensional finite element model of a digital wire loop space maintainer for the mandible and primary tooth loss, in order to investigate the stress, deformation, and shear force experienced by patients with the loss of the second primary molar when wearing the wire loop space maintainer. METHODS: Cone beam computed tomography (CBCT) scans were performed on the patients to create a digital model of the mandible with the absence of the second primary molar using Mimics 21.0 software. A digital model integrating the crown's retention and the wire loop structure of the full crown and ring wire loop space maintainer was constructed using pediatric space maintainer design software, utilizing three different materials: cobalt-chromium alloy, polyether ether ketone (PEEK), and titanium alloy. In ANSYS Work Beach 2023 R2 software, vertical loads of 70 N, tilted 45° along the long axis of the tooth loads of 70 N, and a 10 N load on the surface of the wire loop were applied to the occlusal surfaces of models 46 and 84, simulating centric and lateral occlusions during chewing with the wire loop space maintainer in place. The stress states of the wire loop space maintainer and supporting teeth were analyzed. RESULTS: Under various loading conditions, the maximum principal stress of the ring wire loop space maintainer was significantly lower than that of the full crown. Stress contour maps indicated that the peak of the maximum principal stress occurred at the junction of the wire loop and crown structure, indicating that this area was more susceptible to fracture. The ring wire loop space maintainer made from PEEK material exhibited the lowest maximum shear stress on the internal organizational surfaces, with equivalent stresses of 23.18 MPa and 36.35 MPa for models 46 and 84, respectively. Stress contour maps demonstrated that the maximum stress on tooth 46 was located at its mesial, while the maximum stress on tooth 84 was situated near the root area on its distal, in contact with the wire loop space maintainer. CONCLUSION In cases of second primary molar loss, wearing the digital ring wire loop space maintainer can effectively distribute stress, and the ring wire loop space maintainer made from PEEK material reduces the stress experienced by supporting teeth to some extent, demonstrating its superiority in clinical application.
Finite Element Analysis ; Humans ; Tooth, Deciduous ; Cone-Beam Computed Tomography ; Space Maintenance, Orthodontic/methods* ; Imaging, Three-Dimensional ; Orthodontic Wires ; Dental Stress Analysis ; Mandible ; Stress, Mechanical

Perimenopause raises the risk and incidence of depression, whereas the underlying molecular mechanism remains unclear. Disturbed glucose regulation has been widely documented in depressive disorders, which renders the brain susceptible to various stresses such as estrogen depletion. However, whether and how glucose dysfunction regulates depression-like behaviors and neuronal damage in perimenopausal transition remains unexplored. Here, a prominent depressive phenotype was found in perimenopausal mice induced by the ovarian toxin 4-vinylcyclohexene diepoxide (VCD). The VCD depression susceptible group (VCD^SS) and the VCD depression resilient group (VCD^RES) were determined using a ROC-based behavioral screening approach. We found that the hippocampus, a crucial region linked to depression, had hyperglycemia and mitochondrial abnormalities. Interestingly, oral administration of the SGLT2 inhibitor empagliflozin (EMPA) and intrahippocampal glucose infusion suggest a close relationship between hyperglycemia in the hippocampus and the susceptibility to depression. We verified that cytochrome c oxidase 7c (COX7C) downregulation is a potential cause of the high glucose-induced neuronal injury using proteomic screening and biochemical validations. High glucose causes COX7C to be ubiquitinated in a S-phase kinase associated protein 1 (SKP1)-dependent manner. According to these results, SKP1/COX7C represents a unique therapeutic target and a novel molecular route for treating perimenopausal depression.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Objective To explore the efficacy of bilateral facial muscle training combined with visual electromyography biofeedback on facial nerve function recovery in patients with idiopathic facial nerve palsy. Methods Patients with idiopathic facial nerve palsy admitted to Shanghai Fifth People’s Hospital, Fudan University from July 2022 to July 2024 were selected and randomly divided into a control group and an intervention group. The control group received conventional physical factor therapy, while the intervention group received bilateral facial muscle training combined with visual electromyography biofeedback therapy based on the control group’s regimen. After 20 treatment sessions, the total effective rate, the House-Brackmann (H-B) facial nerve grading system, the Sunnybrook Facial Grading System (SFGS) score, and the average value ratio of maximal amplitudes of bilateral frontalis and zygomaticus muscles were compared between the two groups. Results A total of 90 patients were included, 45 in each group. After 20 treatment sessions, the total effective rate was significantly higher in the intervention group than in the control group (84.4% vs 75.6%, P＝0.003). Compared with the control group, the intervention group demonstrated a significantly lower H-B grade (P＝0.003) and a higher SFGS score (P＝0.001). The average value ratios of maximal amplitudes of the affected versus healthy side frontalis (P＝0.013) and zygomatic (P＝0.022) muscles were higher in the intervention group than in the control group. Conclusions Bilateral facial muscle training combined with visual electromyography biofeedback is an effective approach for treating idiopathic facial nerve palsy, effectively promoting the recovery of facial nerve function, and improving facial symmetry and facial muscle function.