BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care

Specific learning disorder (SLD) is a common neurodevelopmental disorder in children that significantly affects academic performance and quality of life. At present, diagnosis mainly relies on standardized tests and professional evaluations, a process that is complex and time-consuming. Multiple studies have shown that machine learning can analyze diverse data, including test scores, handwriting samples, eye movement data, neuroimaging data, and genetic data, to automatically learn the relationships between input features and output labels and achieve efficient prediction. It shows great potential for early screening, auxiliary diagnosis, and research on underlying mechanisms in SLD. This article reviews the applications of machine learning in the auxiliary diagnosis of SLD and discusses its performance when handling different data types.
Humans ; Machine Learning ; Specific Learning Disorder/diagnosis* ; Child

OBJECTIVE: To investigate the prognostic value of ¹⁸ F-deoxyglucose (FDG) PET/CT metabolic parameters combined with clinicopathological features for newly diagnosed diffuse large B-cell lymphoma (DLBCL) before treatment, and analyze the relationship between tumor metabolic volume (MTV), total lesion glycolysis (TLG) and clinicopathological features. METHODS: The clinical data of 120 patients with pathologically confirmed DLBCL were retrospectively analyzed and ¹⁸F-FDG PET/CT was performed 1 week before treatment. The metabolic parameters including SUVmax, SUVmean, tumor-to-blood standardized uptake value ratio (TBR), tumor-to-liver standardized uptake value ratio (TLR) were obtained. MTV and TLG of the lesions were obtained with 41% of SUVmax as the threshold, and the correlation of MTV and TLG with clinicopathological features were analyzed. Progression-free survival (PFS) was calculated by follow-up for 6-153 months. Receiver operating characteristic (ROC) curve, chi-square test, Kaplan-Meier test, log-rank test and Cox proportional hazards model were used to analyze the date. RESULTS: The optimum cut-off values of the SUVmax, MTV, TLG, TBR and TLR for predicting tumor progression were 22.25, 256.05, 5 232.67, 12.97 and 10.60, respectively. The patients were divided into two groups according to the above cut-off values, respectively. Kaplan-Meier survival analysis showed that there were statistically significant differences in PFS between the two group (all P <0.05). The MTV and TLG values were correlated with NCCN-IPI score, Ann Arbor stage, serum lactate dehydrogenase level, and C-MYC, BCL-2, BCL-6 gene rearrangement (all P <0.05). Univariate analysis showed that NCCN-IPI score >3, C-MYC, BCL-2, BCL-6 gene rearrangement positive, SUVmax≥22.25, MTV≥256.05 cm³, TLG≥5 232.67 g and TBR≥12.97 were adverse factors for prognosis (HR: 1.949-5.759, all P <0.05). Multivariate Cox regression analysis showed that C-MYC, BCL-2 gene rearrangement positive and TLG≥5 232.67 g were all independent risk factors affecting PFS (HR: 4.660, 3.350, 4.031, all P <0.05). CONCLUSION The ¹⁸F-FDG PET/CT metabolic parameters SUVmax, MTV, TLG, TBR and TLR can be used as important indicators to predict PFS of DLBCL patients, and combining clinicopathological features can better predict the prognosis of patients.
Humans ; Lymphoma, Large B-Cell, Diffuse/diagnosis* ; Fluorodeoxyglucose F18 ; Positron Emission Tomography Computed Tomography ; Prognosis ; Retrospective Studies ; Male ; Female ; Middle Aged ; Adult

Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology* ; Humans ; Endoplasmic Reticulum/immunology* ; Animals ; Nogo Proteins/antagonists & inhibitors* ; Mice ; Cell Line, Tumor ; Xanthones/pharmacology* ; Neoplasms/pathology* ; Mice, Nude

Perinatal depression is a psychological disorder that occurs during pregnancy and within one year of delivery, which can seriously affect the physical and mental health of pregnant and postpartum women, as well as the cognitive and behavioral abilities of offspring, with potential multigenerational effects. Therefore, it is important to identify its potential modifiable risk factors. Phthalic acid esters (PAEs), as common environmental endocrine disruptors, can affect maternal estrogen through multiple mechanisms and are important potential modifiable risk factors for developing maternal perinatal depression. At present, studies on the correlation between PAEs and perinatal depression are still very limited, and the mechanisms by which PAEs affect perinatal depression have not been clarified. Based on existing epidemiological and toxicological studies at home and abroad, the article briefly introduced the characteristics of multiple pathways, high doses, and long-term exposure to maternal PAEs, focused on reviewing the current status of epidemiological studies, pointed out the possible associations between some specific PAEs exposure and elevated risk of perinatal depression. It also summarized the potential roles of hormone-neurotransmitter pathway, inflammation mediation, gene regulation, and other possible mechanisms in the association between exposure to PAEs and perinatal depression. The article concluded with a look at how future research on the association between exposure to PAEs and perinatal depression can be scientifically validated, with a view to providing more high-quality evidence for the scientific prevention of the onset and progression of maternal depressive symptoms.

Objective:To investigate the association between hyperuricemia and the risk for stroke occurrence, as well as the mediating effect of hypertension on this association.Methods:In this study, the China Chronic Diseases and Nutrition Surveillance system in 2015 was used as baseline data. We identified hospital admissions for stroke using the electronic homepage of inpatient medical records from 2013-2020, and death data were obtained from the 2015-2020 National Mortality Surveillance System. A retrospective cohort was established after matching and linking the database. The Cox proportional hazard regression model was used to analyze the relationship between hyperuricemia and the risk of stroke and its subtypes. Restricted cubic spline analysis was conducted to examine the dose-response relationship between serum uric acid levels and the risk for stroke. Mediation analysis was performed to investigate the mediating effect of hypertension on the association between hyperuricemia and the risk for stroke and its subtypes. Subgroup analyses were conducted based on gender and age groups.Results:A total of 124 352 study subjects were included, with an accumulative follow-up time of 612 911.36 person-years. During the follow-up period, 4 638 cases of stroke were found, including 3 919 cases of ischemic stroke and 689 cases of hemorrhagic stroke. The incidence density of stroke was 756.72 per 100 000 person-years, 641.37 per 100 000 person-years for ischemic stroke, and 114.60 per 100 000 person-years for hemorrhagic stroke. Multivariable Cox proportional hazards regression models showed that after adjusting for covariates, compared to those without hyperuricemia, individuals with hyperuricemia had a 16% higher risk for stroke [hazard ratio ( HR)=1.16, 95% CI: 1.06-1.27], a 12% higher risk of ischemic stroke ( HR=1.12, 95% CI: 1.01-1.24), and a 39% higher risk of hemorrhagic stroke ( HR=1.39, 95% CI: 1.11-1.75). Mediation analysis showed that hypertension partially mediated the associations between hyperuricemia and the risk for stroke, ischemic stroke, and hemorrhagic stroke, with mediation proportions of 36.07%, 39.98%, and 25.34%, respectively. The mediating effect is pronounced in the male population and individuals below 65. Conclusion:Hyperuricemia is a risk factor for stroke, and hypertension partially mediates the effect of hyperuricemia on stroke.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective To compare the changes of the medical animal resources(MAR)in Sichuan based on the data of the 3rd Chinese Materia Medica Resource Inventory(CMMRI,1983-1986)and the 4th CMMRI(2020-2022).Methods After field investigation and identification of the photos of the animals,the data of the MAR in Sichuan found in the 4th CMMRI were analyzed and compared with the data of 3rd CMMRI.Results 745 species of MAR were found in Sichuan during the 4th CMMRI,including 212 families and 468 genera.Compared with the 108 species found in 3rd CMMRI,the number of MAR in Sichuan had greatly increased,The Aves was found to have 243 species of MAR,which is the most plenty one among the 7 classes.There were 14 families which have more than 10 species of MAR.The family,Cyprinidae had 48 species of MAR.There were 33 common Chinese medicinal herbs and 3 genuine medicinal materials including Cordyceps sinensis,musk and Venenum bufonis were found in this investigation.The new distributions of Liangshan Cordyceps and Cordyceps gunnii were found in the investigation,and the new resources of Atypus heterothecus was found in Mountain Emei.There were 140 species of key protection of wild medicinal animals,including 44 species of animals under first-class protection and 96 species of animals under second-class protection.There were 230 species of animals which had important ecological,scientific,and social values,too.Conclusion Sichuan was plenty of medical animal resources and the protection of the forest musk deer,the Cordyceps sinensis and the pangolin was need to be strengthened.

Objective:To summarize the clinical characteristics,therapeutic effect and prognostic factors of patients with Hodgkin's lymphoma(HL).Methods:A total of 129 patients with HL diagnosed in Peking University Third Hospital from January 2010 to March 2021 who were given at least one efficacy assessment after treatment were enrolled,and their clinical data,including sex,age,pathological type,Ann Arbor stage,ECOG score,blood test,β2-microglobulin,lactate dehydrogenase level,albumin level were collected.The clinical characteristics,therapeutic effect and long-term prognosis of the patients were summarized and analyzed.Results:In classical HL,nodular sclerosis HL accounted for the highest proportion of 51.6％,followed by mixed cellularity HL(36.5％),lymphocyte-rich classical HL(3.2％),and lymphocyte depletion HL(0.7％),while nodular lymphocyte predominant HL accounted for 4.8％.The 3-year overall survival(OS)rate of HL patients was 89.8％,and 5-year OS was 85.0％.The 3-year progression-free survival(PFS)rate was 73.4％,and 5-year PFS was 63.1％.Multivariate regression analysis indicated that IPI score was an independent negative factor,while hemoglobin(Hb)level was an independent positive factor for OS in HL patients.When the mediastinal mass size was 9.2 cm,it was most significant to judge the survival status of HL patients.5-year OS and 5-year PFS were 97.4％and 76.0％in early-stage HL patients without large mass,respectively,while in patients with advanced-stage HL was 83.4％and 55.9％(both P＜0.05).After 2-4 courses of treatment,the overall response rate(ORR)of patients who received chemotherapy combined with radiotherapy was 95.0％,while that was 89.6％in those with chemotherapy alone.Conclusions:The overall prognosis of patients with HL is satisfactory,especially those in early-stage without large mass.IPI score and Hb level are independent risk factors for the prognosis of HL patients.A 9.2 cm mediastinal mass can be used as the cut-off value for the prognosis of Chinese HL patients.

Objective:To investigate the status quo of training and domestic use of 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions in China. And to analyze their influencing factors and provide reference for improving the training system of clinical nutrition support specialty nurses,selection and development of specialist nurses in clinical nutrition support. Methods:From October to November 2023,a cross-sectional survey was conducted on 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions across China was conducted using a convenience sampling method based on a questionnaire about the training and home use of clinical nutrition support nurses. Univariate and multiple linear regression analysis was used to examine the use status and application of clinical nutrition support specialty nurses in five aspects:clinical nursing practice,nursing education,nursing management,coordination,nursing research and consultation. Results:The use of specialist clinical nutrition support nurses is not ideal,with 75.67％ of specialist nurses scoring less than 208 points (i.e. less than 80％ of the total score). Among the use of different dimensions,the clinical nursing practice dimension received the highest score (54.17±10.26),followed by the nursing education dimension (36.98±8.00). The results of multiple linear regression analysis show that hospital level and professional title are independent influencing factors influencing the use and development of specialist nurses. Conclusion:There is a need to further improve the utilisation of clinical nutrition support nurses. It is recommended that links and cooperation between hospitals at all levels,communities,and families be strengthened. For specialist nurses with higher professional titles,encourage them to fully play their roles,strengthen training in weak areas,continuously optimize the professional ability of clinical nutrition support nursing teams,comprehensively improve the quality of clinical nutrition support specialist nursing,and promote their high-level development.