Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

ObjectiveTo clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology. MethodsThe ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture. ResultsBehaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01). ConclusionMETTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.

ObjectiveTo clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology. MethodsThe ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture. ResultsBehaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01). ConclusionMETTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

ObjectiveTo construct and validate a predictive model for hepatic encephalopathy （HE） in patients with end-stage liver disease （ESLD） by combining key indicators such as cytokines and Model for End-Stage Liver Disease （MELD） score， and to provide evidence-based support for the early identification of high-risk populations and the optimization of intervention strategies in clinical practice. MethodsA retrospective analysis was performed for 2 167 patients with ESLD who were admitted to The Third People’s Hospital of Kunming from January 2022 to December 2024， the patients were divided into a training set with 1 517 patients and a validation set with 650 patients at a ratio of 7∶3 using the stratified random sampling method. A univariate analysis and a least absolute shrinkage and selection operator （LASSO） regression analysis were performed for the training set to identify potential influencing variables， and then a binary Logistic regression model was constructed to investigate the independent influencing factors for HE in ESLD patients. A nomogram prediction model was established based on this regression model， and the Hosmer-Lemeshow goodness-of-fit test was performed. The receiver operating characteristic （ROC） curve， calibration curves， decision curve analysis， and clinical impact curve were used to comprehensively evaluate the degree of fit， accuracy， consistency， and clinical practicability of the predictive model derived from the training set. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. ResultsThe univariate analysis showed that there were significant differences between the study group and the control group in age， sex， blood ammonia， lymphocytes， hemoglobin， platelet count， prothrombin time， fibrinogen， international normalized ratio， total bilirubin， aspartate aminotransferase， total protein， albumin， prealbumin， alkaline phosphatase， cholinesterase， total bile acid， triglyceride， total cholesterol， high-density lipoprotein， low-density lipoprotein， blood glucose， CD3⁺ T cells， CD4⁺ T cells， CD8⁺ T cells， high-sensitivity C-reactive protein， carcinoembryonic antigen， triiodothyronine， thyroxine， free triiodothyronine， free thyroxine， interleukin-1β， interleukin-5， interleukin-6， interleukin-8， interleukin-12p70， interleukin-17， interferon-γ， and MELD score （all P<0.05）. The LASSO regression analysis identified nine variables of age， blood ammonia， albumin， prealbumin， cholinesterase， total cholesterol， thyroxine， interleukin-17， and MELD score， and the binary Logistic regression analysis showed that blood ammonia， interleukin-17， and MELD score were independent risk factors for HE in ESLD patients， while age and thyroxine were independent protective factors （all P<0.05）. A nomogram model was constructed based on these five variables. The Hosmer-Lemeshow goodness-of-fit test in the training set showed a good degree of fit （P=0.207）， with a McFadden’s pseudo-R² of 0.184， suggesting that the model had acceptable explanatory power； the Hosmer-Lemeshow goodness-of-fit test in the internal validation set further confirmed the calibration stability of the model （P=0.067）， suggesting that the model had a good degree of fit in independent data. The model had an area under the ROC curve of 0.784 in the validation set， with a sensitivity of 0.710 and a specificity of 0.752. The mean absolute error of the calibration curve was 0.067， and decision curve analysis and clinical impact curve showed that the nomogram model had positive net benefit and good clinical practicability. ConclusionThe nomogram model constructed based on age， blood ammonia， thyroxine， interleukin-17， and MELD score for predicting HE in patients with ESLD has a good degree of fit， high accuracy and consistency， and excellent clinical practicability.

Objective:To investigate the clinical distribution characteristics changes in antimicrobial resistance, and carbapenemase resistance genes of Klebsiella pneumoniae isolated from children in Chongqing region during the period of January 2019 to December 2024, providing a basis for the rational use of antibiotics and the prevention and control of nosocomial infections.Methods:An observational study was conducted to retrospectively analyze 5 020 Klebsiella pneumoniae (KP) isolates detected in four hospitals of the Southwest Pediatric Laboratory Specialty Alliance. Antimicrobial susceptibility testing was performed by the minimum inhibitory concentration method combined with the disk diffusion method. Results were interpreted according to the 2024 Clinical and Laboratory Standards Institute (CLSI) standards. Carbapenemase resistance genes were detected by polymerase chain reaction (PCR) combined with Sanger sequencing. WHONET 5.6 was used for resistance analysis and SPSS 19.0 for statistical analysis. The chi-square test was used to assess trends in resistance rates, ESBL detection rates, and resistance rates of different CRKP carbapenemase genotypes from 2019 to 2024. Statistical significance was confirmed if the two-tailed P-value was <0.05. Results:A total of 5 020 strains were isolated, with a detection rate of 5.1% (5 020/99 063). The majority were from sputum (59.2%, 2 970/5 020), followed by pus (17.1%, 857), urine (9.7%, 487), venous blood (6.5%, 326), secretions (2.6%, 130), and other specimens (5.0%, 250).The lowest resistance rate was to amikacin (3.8%), followed by levofloxacin (10.9%), imipenem (19.1%), and meropenem (19.9%). Resistance rates to cefoperazone/sulbactam ( χ2=9.982 0, P=0.001 6), piperacillin/tazobactam ( χ2=10.110 0, P=0.001 5), ceftazidime ( χ2=3.849 0, P=0.049 8), cefotaxime ( χ2=7.605 0, P=0.005 8), cefepime ( χ2=13.510 0, P=0.000 2), aztreonam ( χ2=6.457 0, P=0.011 1), imipenem ( χ2=4.672 0, P=0.030 7), and levofloxacin ( χ2=7.555 0, P=0.006 0) showed an annual increasing trend. The main carbapenemase genes were blaNDM-5 (42.2%, 127/301), blaNDM-1 (33.9%, 102/301), and blaKPC-2 (17.3%, 52/301). Patients with KPC-2-producing strains (median age, 240 days) were older than those with NDM-1/NDM-5-producing strains (median age, 40 days) ( χ2=22.620 0, P<0.000 1). In neonatal wards, the detection rate of NDM-KP was higher than that of KPC-KP (64.6%, 148/229 vs. 26.9%, 14/52, χ2=24.680 0, P<0.000 1), whereas in ICUs, it was lower (6.1%, 14/229 vs. 26.9%, 14/52, χ2=20.450 0, P<0.000 1). Conclusion:In Chongqing region, the isolation rate of K. pneumoniae from sputum was the highest with most cases from neonatal wards. Resistance to carbapenems showed an upward trend. BlaNDM-5 was the predominant genotype in pediatric CRKP. Patients with KPC-KP were older than those with NDM-KP. NDM-KP predominated in neonatal wards, while KPC-KP predominated in ICUs, with KPC-KP showing higher antimicrobial resistance.

OBJECTIVE To investigate the distribution and drug resistance of the pathogens isolated from sterile body fluids in a hospital so as to provide reference for clinical treatment of the infections.METHODS The sterile body fluids specimens that were cultured positive for pathogens were retrospectively collected from a three-A hos-pital of Jiangxi Province between 2016 and 2023.The distribution and drug resistance of the isolated pathogens were observed.RESULTS Totally 16,658 strains of pathogens were isolated from the sterile body fluid speci-mens in 2016-2023,among which gram-negative bacteria accounted for 51.74％.The species of bacteria that ranked the top 5 places were as follows:Escherichia coli,Klebsiella pneumoniae,Staphylococcus epidermidis,Staphylococcus hominis,and Staphylococcus aureus.The isolation rates of methicillin-resistant Staphylococcus aureus and methicillin-resistant coagulase-negative Staphylococcus were 28.32％and 74.94％,respectively;the strains maintained high sensitivity to linezolid and vancomycin,with the drug resistance rates no more than 2.50％.The drug resistance rates of Enterococcus faecium and Enterococcus faecalis to linezolid and vancomycin were always less than 4.20％.Among the species of Enterobacter,the drug resistance rates of the E.coli strains to meropenem declined from 17.65％to 5.94％;conversely,the drug resistance rate of the K.pneumoniae strains to carbapenems reached high up to 54.36％,showing an upward trend on the whole.Among the non-fermenting gram-negative bacteria,the drug resistance rate of the A.baumannii strains to carbapenems remained high(about 80.00％);while the drug resistance rates of the P.aeruginosa strains to meropenem dropped from 60.71％down to 24.32％.CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the ster-ile body fluids in the hospital between 2016 and 2023.Although some major species of drug-resistant pathogens are effectively under control,the pathogens isolated from the sterile body fluid specimens maintain varying degree of drug resistance to various types of antibiotics.

Objective:To investigate the prognoses of patients with medial medullary infarction (MMI) or lateral medullary infarction (LMI) and their influencing factors.Methods:A retrospective analysis was performed; 489 patients with acute medullary infarction admitted to Department of Neurology, Tianjin Huanhu Hospital from January 2017 to January 2024 were enrolled. Among them, 186 patients had MMI, which was divided into isolated MMI group ( n=126) and group of MMI with other infarcts ( n=60); 303 patients had LMI, which was divided into isolated LMI group ( n=176) and group of LMI with other infarcts ( n=127). Prognosis 90 days after onset was assessed by modified Rankin Scale (mRS, scores of 3-6 as poor prognosis). Clinical data, prognosis and mortality 90 days after onset, early neurological deterioration, respiratory failure, and complications were compared between isolated MMI group and group of MMI with other infarcts and between isolated LMI group and group of LMI with other infarcts. Univariate and multivariate Logistic regression analyses were used to identify the independent influencing factors for poor prognosis 90 days after onset in patients with MMI or LMI. Results:(1) Compared with isolated MMI group, group of MMI with other infarcts had significantly lower rates of alcohol history and sensory symptoms but higher rates of Horner's syndrome, dysphagia, dysarthria, and facial palsy ( P<0.05). Compared with isolated LMI group, group of LMI with other infarcts had significantly lower rates of sensory symptoms but higher rates of dizzy and dysarthria, and statistically different Trial of ORG 10172 in Acute Stroke Treatment types ( P<0.05). (2) The poor prognosis rate 90 days after onset in patients with MMI was significantly higher than that in patients with LMI (31.8% vs. 18.8%, P<0.05). Compared with isolated MMI group, group of MMI with other infarcts had significantly higher rates of respiratory failure, urinary retention, and pulmonary infection ( P<0.05). Compared with isolated LMI group, group of LMI with other infarcts had significantly higher rates of poor prognosis 90 days after onset, mortality 90 days after onset, early neurological deterioration, respiratory failure, stress ulcers, and pulmonary infection ( P<0.05). (3) Multivariate Logistic regression analysis revealed that dyskinesia ( OR=10.522, 95% CI: 1.246-88.853, P=0.031) and vertical multi-level involvement ( OR=4.585, 95% CI: 1.405-14.962, P=0.012) were independent influencing factors for poor prognosis in isolated MMI patients 90 days after onset; age ( OR=1.089, 95% CI: 1.017-1.166, P=0.015), vertical multi-level involvement ( OR=9.429, 95% CI: 1.625-54.502, P=0.012) were independent influencing factors for poor prognosis in MMI patients with other infarcts 90 days after onset; age ( OR=1.069, 95% CI: 1.006-1.136, P=0.031) and vertical multi-level involvement ( OR=7.125, 95% CI: 2.243-22.636, P<0.001) were independent influencing factors for poor prognosis in isolated LMI patients 90 days after onset; diabetes ( OR=2.807, 95% CI: 1.056-7.461, P=0.038), dysphagia ( OR=6.821, 95% CI: 1.978-23.518, P=0.002), and temporal-occipital infarcts ( OR=3.419, 95% CI: 1.133-10.302, P=0.029) were independent influencing factors for poor prognosis in LMI patients with other infarcts. Conclusion:Patients with LMI had better prognosis compared with patients with MMI; however, LMI patients with other infarcts had poorer prognosis compared with LMI patients; LMI patients with diabetes mellitus, dysphagia or temporal-occipital infarcts are prone to have poor prognosis.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.