Objective To construct a predictive model for high-grade pathological components of early invasive lung adenocarcinoma(ILAC)based on radiomics.Methods Collecting information on total 495 patients who underwent radical operation and were pathologically diagnosed as stage Ⅰ in the cardiothoracic surgery of Zhoushan Hospital from January 2015 to December 2019,including gender,age,pathological findings,tumor markers and preoperative chest CT images.The micropapillary and solid components in postoperative pathology were defined as"high-grade pathological components",while those without high-grade pathological components were classified into the low-grade group and those with high-grade pathological components were classified into the high-grade group.And patients were randomly divided into the training set(343 cases)and the validation set(152 cases)with a ratio of 7∶3 using the simple randomization grouping method.The region of interest of nodules on CT images were delineated layer by layer by scientific research platform and 1950 radiomics features were extracted.And then those features were filtrated by F-test,Pearson correlation coefficient,and L1 based feature selection.A model was built by using Logistic regression machine learning classifier,named mod 2,and radscore was also obtained.Differences between general information and CT features were analyzed.Binary Logistic regression analysis was used to construct a model for statistically significant variables,named mod 1.At the same time,Radscore was added to build the mod and named comb mod.The area under the curve(AUC),sensitivity and specificity of the three models were calculated.A nomogram was also drawn.Results A total of 495 patients were divided into the training set(n=343)and the validation set(n=152).Gender,carcinoma embryonic antigen(CEA),nodule,and maximum diameter were screened out in clinical features and involved in constructing the mod 1.Twelve features were selected from the radiomics features to build mod 2.Comb mod performed best,training set AUC:0.887,validation set AUC:0.875,and had good clinical practicability.Conclusion The model composed of general feature,CT feature and radiomics features could accurately predict high-grade pathological components in early ILAC,and provide references for clinicians to choose surgical method for patients.

Objective To investigate the expression of T cell immunoglobulin and mucin domain-containing protein 3(TIM-3)in peripheral blood mononuclear cells and its relationship with non-small cell lung cancer(NSCLC).Methods TIM-3 expression in monocytes from the peripheral blood of 116 NSCLC patients and 37 healthy volunteers was analyzed via flow cytometry.The expression of TIM-3 in macrophages from tissues was detected via multiplex immunohistochemical staining.Transwell migration experiments were used to detect the migration ability of monocytes.Real-time PCR and ELISA were used to detect the mRNA and protein expression of TIM-3 in monocytes.Results Compared with that in healthy volunteers,TIM-3 expression was upregulated in the peripheral blood monocytes of NSCLC patients(P＜0.05).TIM-3 was expressed mainly in macrophages in adjacent tissues and positively correlated with its expression in monocytes in NSCLC patients(P＜0.05).Furthermore,high TIM-3 expression promoted monocyte migration in NSCLC patients(P＜0.05),and high TIM-3 expression in peripheral blood monocytes indicated poor prognosis(P＜0.05).Conclusion TIM-3 expression in peripheral blood monocytes may be a useful indicator of the disease prognosis of NSCLC patients and TIM-3 could be a new target for immunotherapeutic strategies.

Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Objective:To establish graded forecast models of pollen concentration in spring and summer-autumn in northern China, based on long-term data of pollen and allergic rhinitis (AR) medical visits in 8 cities of northern China.Methods:Pollen concentration and the characteristics of AR patients from 8 cities of northern China, including Beijing, Baotou, Hohhot, Xi′an, Xining, Cangzhou, Liaocheng and Zibo, were analyzed. Spearman′s correlation was used to examine the relationship between pollen concentration and daily AR patient visits. A pollen concentration grading was establish, and a pollen forecast model was created using the eXtreme gradient boosting (XGBoost) algorithm. The model incorporated meteorological factors and the 3-day moving average of pollen concentrations.Results:The spring pollen period started early and lasted long in Beijing and Xi ′an, while the summer-autumn pollen period started earlier and persisted longer in Xining, Baotou and Hohhot. During summer-autumn pollen period, and the spring period in most cities (except Baotou and Cangzhou), average daily patient visits were significantly higher than those in non-pollen periods. A strong correlation was observed between daily AR patient visits and the 3-day moving average of pollen concentrations in both the spring and summer-autumn periods across all cities. Based on the correlation, a pollen concentration grading standard of northern China was established. The accuracy evaluation of pollen concentration prediction model showed that the percentage of forecasts with either completely accurate or within one level difference exceeded 91% in spring and 95% in summer-autumn. The most important predictive variable in the model was the pollen level from previous day, followed by the temperature and humidity.Conclusion:The grading prediction model for pollen concentration provides guidance for AR patients in term of travel, early defense and treatment, as well as the determining medication schedules for clinical drug research and specific immunotherapy.

Objective:To explore brain MRI features of methylmalonic acidemia (MMA).Methods:This observational study retrospectively analyzed the clinical and imaging data of 123 patients with MMA diagnosed at Shandong Provincial Hospital Affiliated to Shandong First Medical University and Qilu Hospital of Shandong University from January 2010 to November 2022. The 123 patients were divided into 7 stages according to age of onset, neonatal period (0 to<1 month), infancy (1 month to<1 year), early childhood (1 to<4 years), preschool (4 to<7 years), school age (7 to<13 years), adolescent (13 to 17 years) and adult (>17 years). All patients underwent brain MRI scanning. The imaging performances were evaluated, including the number, location, morphology of the lesions.Results:Of the 123 patients, 40 were in the neonatal period, 29 in infancy, 13 in early childhood, 9 in preschool, 6 in school age, 13 in adolescence, and 13 in adulthood. The first symptoms of patients in the neonatal period were mainly digestive system abnormalities, such as difficulty in breastfeeding (37.5%, 15/40) and vomiting (25.0%, 10/40), with neurological symptoms gradually becoming the main manifestations from infancy. Seventy-three cases (59.3%) showed significant abnormalities on cranial MRI, including 17 cases with 33 foci in the neonatal period, 23 cases with 53 foci in infancy, 11 cases with 16 foci in early childhood, 2 cases with 2 foci in preschool, 3 cases with 7 foci in school age, 7 cases with 9 foci in adolescence, and 10 cases with 16 foci in adulthood. In neonatal period, the main manifestations were myelin dysplasia (18%,6/33), dilatation of the lateral ventricular system (18%,6/33), and pallidal bulb infarct foci (18%,6/33); in infancy, the main manifestations were hypoplasia or thinning of the corpus callosum (30%,16/53); in early childhood, the main manifestations were pallidal bulb infarct foci (38%,6/16); and the two MRI abnormalities in preschool were pallidum and thalamic infarct foci; in school age, the main manifestations were infarct foci in the chiasmatic nucleus (29%,2/7) and in the caudate nucleus (29%,2/7); in adolescence, the main manifestation was dilatation of the lateral ventricular system (33%,3/9); and in adulthood, the main manifestation was dilatation of the lateral ventricular system (19%,3/16).Conclusion:By staging the age of onset, it is found that the imaging manifestations of MMA patients show significant differences with age, suggesting that there is a dynamic nature of MMA damage to brain structures at different developmental stages.

AIM:To investigate the effects of high-dose methotrexate(MTX)on alkaline phosphatase(ALP)and the effects of ALP changes on bone me-tabolism,bone marrow granulogram function,liver function and excretion.METHODS:Aspartate ami-notransferase(AST),alanine aminotransferase(ALT)and albumin(ALB)were used as liver function indi-cators,serum calcium(Ca)and phosphorus(P)were used as bone metabolism indicators,neutro-phil(ANC)and white blood cell count(WBC)were used as bone marrow granuloline function indica-tors,and methotrexate C48h concentration ≥1 μmol/L was used as the excretion delay.One-way ANOVA analysis was performed on the ALP levels before and after the first chemotherapy and the second chemotherapy,and the children were divided into normal group and low group according to the ALP level,and the seven indexes before and after che-motherapy were quantitatively and qualitatively an-alyzed,and univariate and multivariate Logistic re-gression analysis was performed on the concentra-tion of methotrexate C48h and the above indexes in the children treated with the second chemothera-py.RESULTS:After the first chemotherapy and the second chemotherapy,ALP was significantly de-creased[(204.0±83.6)U/L vs.(172.8±67.3)U/L,(179.4±59.3)U/L vs.(169.6±57.1)U/L,all P＜0.05],and the serum Ca,P,ANC,WBC,and ALB were sig-nificantly decreased(P＜0.05),and AST and ALT were increased(P＜0.05),and ALT was an indepen-dent risk factor for delayed excretion(OR=1.049,95％CI 1.023-1.077,P＜0.001),ALB was an indepen-dent protective factor for delayed excretion(OR=0.551,95％CI 0.460-0.660,P＜0.001),and ALP was not a significant contributor to MTX excretion de-lay.CONCLUSION:ALP is not a good predictor of liv-er function and bone marrow granulopathy func-tion due to a significant decrease in ALP caused by high-dose MTX,and ALP together with serum calci-um and phosphorus levels can constitute an early warning indicator of bone metabolism disorders.

Objective To understand the current situation of nutrition literacy of primary and secondary school students in Shijingshan District of Beijing, and analyze its influencing factors, and to put forward targeted suggestions for improving the students’ nutrition literacy and promoting their healthy growth. Methods A multi-stage stratified cluster sampling method was used to select 2480 primary and secondary school students and their parents from 5 primary schools, 3 middle schools and 1 high school in Shijingshan District. The multivariate logistic regression model was used to analyze the factors influencing the attainment rate of nutrition literacy. Results The median score of nutrition literacy of 2480 primary and secondary school students from grades 1 to 12 was 77.86 (in hundred-mark system), the quartile range (IQR) was 16.96, and the attainment rate of nutrition literacy was 42.46%. The cognitive level (45.12%) was higher than the skill level (41.20%) among students from grades 3 to 12. In terms of skills, the attainment rate of food preparation was the lowest, at 30.38%. The scores of nutrition literacy of girls were higher than those of boys, and the scores of primary school students were higher than those of secondary school students. Students with different levels of caregiver’s education, family income, and family food environment had different scores of nutrition literacy, and the differences were statistically significant (P<0.05). Multivariate logistic regression analysis showed that the attainment rate of nutrition literacy was closely related to student’s gender and study stage, caregiver’s education level, and family food environment. Conclusion The nutrition literacy of primary and secondary school students in Shijingshan District still needs to be improved, especially in the aspect of skills. Targeted nutrition education should be carried out.

OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

Ambient air pollution is increasingly being recognized as a risk factor for heart failure; however, its effects on cardiac biomarkers remain unclear. This scoping review assessed the existing evidence on the association between air pollution and cardiac biomarkers in heart failure, described the key concepts, synthesized data, and identified research gaps. Following the PRISMA-ScR guidelines, PubMed, Embase, Web of Science, and CNKI databases were searched for studies on air pollution, heart failure, and biomarkers. A total of 765 records were screened, and 81 full texts were assessed for eligibility, resulting in 15 studies. The results showed that the exposure to particulate matter was associated with elevated N-terminal pro-B-type natriuretic peptide and troponin levels. Several studies have linked particulate matter exposure to a higher cardiovascular risk and heart failure biomarkers. Inflammatory and oxidative stress markers were consistently elevated across studies, supporting the biological relevance of these associations. However, few studies have focused specifically on populations with heart failure or clinically relevant biomarkers, and the evidence for gaseous pollutants remains inconclusive. These findings highlight the need to integrate environmental risk assessment into heart failure care and inform policy efforts to reduce the pollution-related cardiovascular burden. Further research should address these gaps through improved exposure assessments and the integration of mechanistic evidence.
Heart Failure/epidemiology* ; Biomarkers/metabolism* ; Humans ; Air Pollution/adverse effects* ; Air Pollutants/adverse effects* ; Particulate Matter/adverse effects* ; Environmental Exposure ; Natriuretic Peptide, Brain/blood* ; Oxidative Stress ; Troponin/blood*