Objective To examine the impact of extreme temperature and drought stress on the survival of Bulinus globosus, so as to provide the theoretical evidence for the genomic research of Bulinus in absence of reference genes. Methods B. globosus snail samples were collected from Kiwani Shehia in Pemba Island, Zanzibar, Tanzania, and offspring snails were obtained through laboratory breeding and reproduction. A total of 120 10-week-old B. globosus snails from the same generation were selected and randomly assigned into four groups, including the high-temperature drought (HD) group, normal temperature drought (D) group, low-temperature drought (LD) group, and the control (C) group, of 30 snails in each group. Snails in HD, D, and LD groups were placed in beakers containing dry soil at the bottom and subsequently housed in climate chambers at 35, 26 ℃, and 10 ℃, respectively, while snails in Group C were maintained in 500 mL petri dishes containing dechlorinated tap water at 26 ℃. Following 3 days of breeding, living snails in each group were collected, and soft tissues were dissected and isolated. Total RNA was extracted from snail soft tissues for library construction, followed by high-throughput sequencing on the Illumina HiSeq 4000 sequencing system. De novo transcriptome assembly was performed using the Trinity software, and the longest transcripts were selected as unigenes. Gene functional annotations of unigenes were conducted using the Diamond software against Gene Ontology (GO) knowledgebase, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, NCBI non-redundant (NR) protein sequences database, Protein Family (Pfam) database, and UniProtKB/Swiss-Prot (Swiss-Prot) knowledgebase. GO and KEGG enrichment analyses of differentially expressed genes (DEGs) were performed using the topGO and clusterProfiler software, respectively. In addition, four relevant genes were selected for validation using a real-time quantitative PCR (qRT-PCR) assay to verify the reliability of transcriptome sequencing results. Results Following 3 days of breeding, there were 7, 20, 28, and 30 survival B. globosus snails in HD, LD, D, and C groups, with corresponding survival rates of 23.33% (7/30), 66.67% (20/30), 93.33% (28/30), and 100.00% (30/30), respectively (χ² = 52.72, P < 0.001). De novo transcriptome assembly generated 176 942 unigenes, with annotation rates of 0.98%, 13.49%, 26.46%, 12.48%, and 14.39% against GO knowledgebase, KEGG pathway database, NR protein sequences database, Pfam database, and Swiss-Prot knowledgebase, respectively. There were 33 up-regulated and 72 down-regulated genes in Group D, 483 up-regulated and 815 down-regulated genes in Group HD, and 245 up-regulated and 172 down-regulated genes in Group LD relative to in Group C. Following removal of overlapping genes across groups and unmatched genes, 11 candidate genes were identified. GO and KEGG analyses revealed 3 heat shock protein (HSP)-related DEGs in these 11 candidate genes, which were annotated as HSP12.2, HSP70, and HSP20 genes and were all significantly up-regulated in each treatment group. Three immune and nervous system-related DEGs were identified, and were all significantly down-regulated in each treatment group, which were involved in the neural cell adhesion molecule L1-like protein pathway, fibrinogen binding protein pathway, and leukocyte elastase inhibitor-like protein pathway. qRT-PCR assay quantified that the expression trends of four genes related to temperature and drought stress across different treatment groups were highly consistent with transcriptome sequencing data. Conclusion The survival rate of B. globosus significantly reduces under combined stresses of extreme temperature and drought, possibly due to an imbalance in its cellular homeostasis regulatory system.

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.

Objective To explore the association between serum uric acid levels and the cumulative incidence risk of atrial fibrillation, and to evaluate the predictive value of different uric acid levels for the onset of atrial fibrillation. Methods A retrospective selection of 451 879 participants from the large-scale prospective epidemiological cohort UK Biobank, aged 40-69 years, all completed a median follow-up of 13.6 years. Participants were divided into groups based on the interquartile range of serum uric acid levels (Q1–Q4) related to gender and whether they were diagnosed with hyperuricemia. Cox proportional hazards model, sensitivity analysis, and other methods were used to compare baseline data and atrial fibrillation incidence during follow-up among each group of participants. Results Individuals with higher baseline uric acid levels tended to be older, more obese, and had lower education levels and a history of cancer, along with significantly higher levels of triglyceride, low-density lipoprotein cholesterol, and C-reactive protein, but lower high-density lipoprotein cholesterol levels (P<0.001); the highest uric acid group showed the highest diabetes prevalence (6.49%). Participants with higher serum uric acid levels (log-rank P<0.05) or diagnosed with hyperuricemia had significantly higher incidence of atrial fibrillation (P<0.001). After adjusting for potential confounders, compared to Q1 uric acid level group, the Q4 level was associated with a 20% increased risk of atrial fibrillation (HR=1.20, 95%CI 1.16–1.25). Each 74.7 μmol/L increase in uric acid level was associated with a 9% increased incidence risk of atrial fibrillation (HR=1.09, 95%CI 1.08–1.11). Individuals with hyperuricemia had a 20% increased incidence risk of atrial fibrillation (HR=1.20, 95%CI 1.17–1.24). A nonlinear association was observed between uric acid levels and the incidence risk of atrial fibrillation (P for nonlinearity <0.01). Subgroup analysis indicated significant heterogeneity of the risk effect across subgroups, with a higher risk associated with hyperuricemia in females. Conclusions Elevated blood uric acid levels may increase the cumulative risk of atrial fibrillation, and this pathogenic effect is significantly correlated with age, race, cancer history, body mass index, and sex.

Elderly patients with lung cancer have a significantly increased risk of perioperative cardiopulmonary complications due to physiological decline, high incidence of complications and reduced surgical tolerance, which directly affects postoperative recovery and long-term survival. Although the concepts of minimally invasive surgery and enhanced recovery after surgery have improved clinical outcomes, early recognition and intervention of postoperative complications in elderly patients remains a significant challenge in the field of thoracic surgery. By integrating recent literature and clinical practice, this paper systematically analyzes the pathophysiological mechanism and risk factors of perioperative cardiopulmonary complications in elderly patients with lung cancer, and discusses individualized intervention strategies based on risk stratification and multidisciplinary team, in order to provide theoretical basis and practical guidance for optimizing perioperative management and improving postoperative prognosis in elderly patients.

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.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

With the accelerating aging of the population, the proportion of elderly patients with lung cancer continues to rise, presenting multiple challenges to perioperative management. This paper systematically reviews the clinical characteristics of elderly lung cancer patients. Based on the comprehensive geriatric assessment, it proposes incorporating seven major geriatric syndromes—frailty, delirium, sarcopenia, cognitive impairment, malnutrition, dysphagia, and mood disorders—into the core evaluation system. By integrating multimorbidity management with complication prevention and control, an integrated "geriatric syndrome-multimorbidity-complication" perioperative management model is constructed. Furthermore, this paper outlines stratified intervention strategies for geriatric syndromes, a "five-step" workflow for comorbidity management, and a comprehensive intervention pathway for complications across the preoperative, intraoperative, and postoperative phases. Multidisciplinary team (MDT) collaboration serves as the core mechanism to achieve individualized comprehensive treatment. This paper aims to provide a novel perioperative comprehensive treatment model for elderly lung cancer patients, which is centered on geriatrics, supported by multidisciplinary collaboration, and guided by precision medicine.

AIM: To investigate the feasibility of sequential transepithelial phototherapeutic keratectomy(trans-PTK)followed by intraocular salvage surgery under a single general anesthesia session in young pediatric patients with band keratopathy who require urgent intraocular intervention.

METHODS: A retrospective study was performed. Clinical data were collected from pediatric patients who received sequential trans-PTK between August 2024 and August 2025. All patients had complex intraocular diseases combined with visual axis-involving band keratopathy, and opacified refractive media impeded intraocular surgical procedures. Under stable general anesthesia, trans-PTK was performed on the affected eye to remove corneal epithelium and calcific plaques. Upon completion, specific intraocular therapeutic procedures were sequentially performed while maintaining general anesthesia. The extent of band keratopathy and visualization were evaluated using a grading scale. Intraoperative parameters, postoperative corneal clarity, improvement of intraocular visualization and any adjunctive ocular surface measures were documented and evaluated.

RESULTS:A total of 13 eyes from 13 enrolled pediatric patients were included. The mean age was 6.15±3.10 y, with 9 males and 4 females. The indications for salvage surgery included rhegmatogenous retinal detachment(6 eyes), silicone oil emulsification, dislocation, or extraction(4 eyes), and anterior chamber shallowing or angle-closure(3 eyes). All patients completed the combined procedure under the same general anesthesia. Mean maximum corneal ablation depth was 97.08±15.60 μm, and mean laser treatment time was 57.85±14.80 s. Postoperatively, corneal transparency improved in all eyes, including completed improvement in 9 eyes and partial improvement in 4 eyes. Intraocular visualization score was significantly improved \〖3(2.5,3.5)vs 0(0,0),P<0.05\〗. Best-corrected visual acuity did not differ significantly from preoperative levels. During sequential intraocular surgery, corneal dehydration accelerated in eyes not treated with viscoelastic agents, and the mean corneal wetting interval was shortened to 11.66±4.10 s. Viscoelastic agents were applied in 5 eyes to reduce irregular refraction and severe dehydration, maintaining corneal hydration and surgical field clarity. No adverse events occurred in any pediatric patient during the intraoperative or postoperative periods.

CONCLUSION: For young pediatric patients with severe intraocular diseases complicated by band keratopathy, Trans-PTK performed under the same session of general anesthesia allows for a rapid enhancement of intraocular visualization, facilitating the successful implementation of sequential intraocular procedures.

ObjectiveTo explore the long-term dynamic trajectories of fasting blood glucose （FBG） and insulin resistance （IR） in patients with type 2 diabetes mellitus （T2DM） and their influencing factors. MethodsThis retrospective cohort study included 1 896 T2DM patients registered at Tongren Hospital from May 2020 to May 2025. Based on longitudinal follow-up data of FBG and fasting insulin， joint latent class mixed models （JLMM） were applied to identify FBG-IR trajectories. Univariate and multinomial logistic regression was used to examine demographic characteristics， lifestyle， and clinical determinants of trajectory type. ResultsFour distinct FBG-IR trajectories were identified： stable FBG-IR （9.76%）， rising FBG-stable IR （5.01%）， stable FBG-elevated IR （75.90%）， and elevated FBG-IR （9.34%）. Compared with the stable FBG-IR group， age ≥60 years was protective against the elevated FBG-stable IR trajectory （OR=0.55， 95%CI：0.33-0.92， P=0.023）. Highereducation increased the risk of stable FBG-elevated IR （OR=1.40， 95%CI：1.01-1.94， P=0.046）. Abnormal blood pressure was associated with lower risks of stable FBG-elevated IR （OR=0.66， 95%CI：0.48-0.92， P=0.013） and elevated FBG-IR （OR=0.48， 95%CI：0.31-0.74， P=0.001）. Non-drinkers were less likely to belong to the stable FBG-elevated IR trajectory （OR=0.39， 95%CI：0.16-0.95， P=0.038）. ConclusionsThe evolution trajectory of FBG and IR in T2DM patients shows significant heterogeneity. The majority of patients have a deterioration of IR first. Age， education level， blood pressure， and alcohol consumption are the main influencing factors. Joint assessment of FBG and IR is helpful for early identification of high-risk individuals and guiding individualized intervention.

Colchicine, a classic anti-inflammatory agent, has been long used for the prevention and treatment of gouty arthritis and familial Mediterranean fever. Given the pivotal role of inflammation in the development and progression of cardiovascular diseases, the clinical value of colchicine in the secondary prevention of cardiovascular diseases has attracted significant attention. Diabetes mellitus （DM） leads to severe and irreversible vascular complications, and cardiovascular diseases are the leading cause of death in patients with DM. However, existing research indicated heterogeneity in the therapeutic efficacy of colchicine among patients with cardiovascular diseases and those with diabetes complicated by cardiovascular conditions. The heterogeneity manifests as differences in efficacy across various disease stages, patient baseline characteristics, specific cardiovascular event types, endpoint definitions, and treatment regimens. The current domestic and international research findings on colchicine in relation to cardiovascular events—both in patients with CVD and in those with diabetes—were reviewed, with the aim of elucidating the underlying causes of this efficacy heterogeneity and providing evidence-based guidance for identifying patients likely to benefit and optimizing individualized treatment strategies in clinical practice.