Objective: To explore the potential classification of 24 hour activity time allocation among college students in Yinchuan and its association with active health levels, so as to provide references for optimizing activity time allocation to enhance active health levels. Methods: From November 18 to December 6, 2024, a stratified cluster random sampling method was used to select 2 422 first and second year college students from full time undergraduate institutions in Yinchuan. The Chinese College Students 24 hour Movement Behaviors Questionnaire (24 h MBQ) and Active Health Behavior Scale were used to assess 24 hour activity time allocation and evaluate active health levels. Latent profile analysis (LPA) was employed to categorize activity types, and a binary Logistic regression analysis was conducted to analyze the relationship between active health levels and activity types. Results: A total of 1 087 students (44.9%) were found of meeting active health standards, and significant statistical differences were found in active health levels across different genders, grades, academic qualities, sources of origin and academic categories ( χ 2= 22.03 , 7.65, 25.50, 10.12, 43.44, all P <0.01). Moreover, significant statistical differences could also be found among college students 24 hour activity time across different genders, ages, grades, sources of origin, academic qualities, and academic categories ( t/Z/H/F=-5.70-111.39, P <0.05).The 24 hour activity time allocation was classified into four types:academic high ( 6.9 %), low activity rest (8.8%), light activity (67.8%), and high activity dynamic (16.4%). Significant statistical differences were observed in activity time allocation categories across different ages, academic qualities and academic categories ( χ 2=15.52-108.46, all P <0.05). Using the high activity dynamic type as a reference, the light activity type ( OR=0.39, 95%CI =0.31-0.50), low activity rest type ( OR=0.10, 95%CI =0.06-0.15), and academic high type ( OR=0.03, 95%CI =0.02-0.07) had lower active health levels among college students (all P <0.01). Conclusion There is a significant difference in 24 hour activity time allocation among college students in Yinchuan, and different activity types are associated with active health levels.

Objective: To investigate the relationship of metabolic score for insulin resistance (METS-IR) with bone mineral content (BMC) and bone metabolic markers levels among adolescents, so as to provide a scientific foundation for the early identification and prevention of bone related diseases. Methods: From 2017 to 2019 and 2023, a total of 1 414 adolescents aged 12-18 years from Yinchuan were selected using a method combining convenient sampling with stratified cluster random sampling. The data of basic information, body mass index, BMC, serum osteocalcin (OC), type I collagen cross linked C-terminal peptide (CTX) and calcium (Ca), METS-IR among adolescents were obtained by questionnaire survey, physical measurement and laboratory examination,and METS-IR was divided into four groups Q1-Q 4 according to P 25 , P 50 and P 75 . Logistic regression models combined with restricted cubic splines were employed to analyze the relationship between METS-IR and low BMC as well as low bone metabolic markers. The receiver operating characteristic (ROC) curve was used to evaluate METS-IR effectiveness in diagnosing low BMC. Results: The levels of BMC, OC, CTX, Ca and METS-IR in the surveyed adolescents were (2.66±0.52)kg, (20.49±13.77) ng/mL , (2 460.89±1 818.96)pg/mL, (2.47±0.67)mmol/L, 30.63±7.58. After adjusting for gender, age and physical activity level, METS-IR in Q 4 group had a reduced risk of low BMC and low CTX [ OR (95% CI )=0.03(0.01-0.07), 0.45(0.32-0.65)] and an elevated risk of low OC [ OR (95%CI )=1.85(1.28-2.67)], compared with the Q 1 group (all P <0.05). Gender stratified analyses revealed similar trends for both males and females (all P <0.05). Non linear dose response relationships were observed between METS-IR and low BMC ( P total trend <0.01, P non linearity =0.01), as well as low OC ( P total trend <0.01, P non linearity =0.01), while a linear relationship was detected with low CTX ( P total trend <0.01, P non linearity =0.72). ROC curves revealed that METS-IR had the best diagnostic performance for low BMC (AUC=0.85, 95% CI=0.82-0.88, P <0.01). Conclusions Higher METS-IR score is linked to reduced risk of low BMC and CTX but increase risk of low OC among adolescents. These findings suggest METS-IR is a reliable indicator for assessing BMC and early predicting bone health risk among adolescents.

BACKGROUND: Double-stranded RNA-specific adenosine deaminase 1 (ADAR1) binds to double-stranded RNA and catalyzes the deamination of adenosine (A) to inosine (I). The functional mechanism of ADAR1 in non-small cell lung cancer (NSCLC) remains incompletely understood. This study aimed to investigate the prognostic significance of ADAR1 in NSCLC and to elucidate its potential role in regulating tumor cell proliferation and migration. METHODS: Data from The Cancer Genome Atlas (TCGA) and cBioPortal were analyzed to assess the correlation between high ADAR1 expression and clinicopathological features as well as prognosis in lung cancer. We performed Western blot (WB), cell proliferation assays, Transwell invasion/migration assays, and nude mouse xenograft modeling to examine the phenotypic changes and molecular mechanisms induced by ADAR1 knockdown. Furthermore, the ADAR1 p150 overexpression model was utilized to validate the proposed mechanism. RESULTS: ADAR1 expression was significantly elevated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues compared with adjacent non-tumor tissues (LUAD: P=3.70×10-15, LUSC: P=0.016). High ADAR1 expression was associated with poor prognosis (LUAD: P=2.03×10-2, LUSC: P=2.81×10-2) and distant metastasis (P=0.003). Gene Set Enrichment Analysis (GSEA) indicated that elevated ADAR1 was associated with mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway activation, matrix metalloproteinase-9 (MMP-9) expression, and cell adhesion. ADAR1 and MMP-9 levels showed a strongly positive correlation (P=6.45×10-34) in 10 lung cancer cell lines, highest in H1581. Knockdown of ADAR1 in H1581 cells induced a rounded cellular morphology with reduced pseudopodia. Concomitantly, it suppressed cell proliferation, invasion, migration, and in vivo tumorigenesis. It also suppressed ERK phosphorylation and downregulated cellular Finkel-Biskis-Jinkins murine osteosarcoma viral oncogene homolog (c-FOS), MMP-9, N-cadherin, and Vimentin. Conversely, ADAR1 p150 overexpression in PC9 cells enhanced ERK phosphorylation and increased c-FOS and MMP-9 expression. CONCLUSIONS High ADAR1 expression is closely associated with poor prognosis and distant metastasis in NSCLC patients. Mechanistically, ADAR1 may promote proliferation, invasion, migration, and tumorigenesis in lung cancer cells via the ERK/c-FOS/MMP-9 axis.
Humans ; Lung Neoplasms/physiopathology* ; Adenosine Deaminase/genetics* ; Matrix Metalloproteinase 9/genetics* ; Cell Proliferation ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Cell Movement ; Animals ; Mice ; RNA-Binding Proteins/genetics* ; Female ; Male ; Cell Line, Tumor ; Proto-Oncogene Proteins c-fos/genetics* ; Middle Aged ; MAP Kinase Signaling System ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Extracellular Signal-Regulated MAP Kinases/genetics*

Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its ¹⁸F-isotopologue ([¹⁸F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [¹⁸F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [¹⁸F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.

OBJECTIVE To establish fingerprints and multi-components determination of Jieze lotion, and use chemometrics methods for quality evaluation. METHODS The HPLC-DAD fingerprints was established and 10 components were recognized by comparison with references. Meanwhile, their contents were determined. The data were evaluated by the methods of chemometrics such as similarity evaluation, cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. RESULTS The similarity of 11 batches of Jieze lotion were all >0.95. The linearity was good(r≥0. 999 1) and the average recoveries were between 89.70% and 106.0% with the RSD of 1.52%−3.41%. Instrument precision, stability and reproducibility of the method were all great. The contents of the common ten components(gallic acid, protocatechuic acid, neochlorogenic acid, caftaricacid, 5-O-feruloylquinicacid, chlorogenic acid, phellodendrine chloride, magnoflorine, 4-O-feruloylquinic acid, berberinehydrochloride) were 40.103−55.841, 2.347−6.179, 8.336−23.810, 7.084−21.956, 33.098−53.833, 24.597−49.610, 21.587−31.188, 5.915−13.162, 115.381−189.702, 31.378−112.686 μg·mL−1, respectively. The results of chemometrics showed that the 11 batches of samples could be divided into 4 categories, and the strong characteristic peaks used to distinguish each batch of samples were berberine hydrochloride, 4-O-feruloylquinic acid, chlorogenic acid, neochlorogenic acid and 5-O-feruloylquinic acid. CONCLUSION The method is accurate and reliable, and it can be used for the quality control and comprehensive evaluation of Jieze lotion.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

To improve the effectiveness of bedside localization of nasointestinal tube(NIT)and facilitate the placement of nasointestinal tube into jejunum,we established a procedure and composed a teaching verse for bedside placement of nasointestinal tube based on relevant classical literature and our own practices.Verse content:enteral nutrition means a successful strategy to improve the outcome in critically ill patient management,never hesitate to place nasointestinal tubes when necessary.There are several methods to deal with it,but popularizing it remains a long way off.Half-sitting and swallowing into the esophagus,freely withdrawing signifies the stomach cavity.Passing through the pylorus using light tension on the tube in the right lateral decubitus position.Arriving at the jejunum with low resistance in the left lateral decubitus position.What are the signs of intragastric coiling?Tube return out of nose is the initial observation,Failure of air insufflation indicates tube coiling.Dyeing location surpasses imaging.Vacuum test is the most sensitive,Sequential change from acid to base is specific.Methylene blue test is dramatical for localization.Combining three methods is enough to navigate.Abdominal plain film is the goldan standard and can still be used in ultrasonic era.3-D image establishes overall view.CT reveals the tube route exactly.The teaching verse has become a powerful tool for clinical teaching of manual nasointestinal tube placement in a concise and easy-to-remember form.

Objective To study the mechanism of Chufeng Yisun Decoction in the treatment of corneal injury based on network pharmacology combined with experimental validation.Methods The active components and targets of Chufeng Yisun Decoction were obtained from TCMSP and TCMID databases.Related targets of corneal injury were searched through GeneCards,OMIM,TTD and NCBI-Gene databases.Chinese materia medica-active components-key target network was established.The main active components of Chufeng Yisun Decoction for the treatment of corneal injury were analyzed.The core targets were predicted through PPI network.CCK-8 method was used to screen the optimal concentration of serum containing Chufeng Yisun Decoction for promoting cell growth.Western blot was used to detect autophagy related protein expressions of LC3,LAMP1 and ERK2.Results The main active components of Chufeng Yisun Decoction in the treatment of corneal injury were kaempferol,wogonin,quercetin and paeoniflorin.The core targets were AKT1,TP53,MAPK1,JUN and TNF.The intervention of serum containing Chufeng Yisun Decoction on human corneal fibroblasts could increase the LC3I/LC3II ratio and LAMP1 protein expression,while decrease ERK2 protein expression,which was consistent with the prediction of network pharmacology.Conclusion Chufeng Yisun Decoction treats corneal injury through multiple components,targets and pathways.The mechanism of promoting autophagy therapy for corneal injury is achieved by down-regulating the expression of ERK2 and up-regulating the expression of LC3 and LAMP1.

Objective:To analyze the clinical characteristics of patients of chronic active Epstein-Barr virus infection (CAEBV) with intestinal involvement misdiagnosed as inflammatory bowel disease (IBD).Methods:A retrospective analysis was conducted on the clinical characteristics, laboratory results, digestive endoscopic findings, histological results, treatment and prognosis of 10 patients with CAEBV intestinal involvement who were misdiagnosed as IBD and treated at the Department of Hematology, Beijing Friendship Hospital, Capital Medical University from February 2019 to November 2022. Epstein-Barr virus-encoded small RNA (EBER) was detected by in situ hybridization. Results:Among the 10 patients with CAEBV, eight were males and two were females. Seven patients had been misdiagnosed as ulcerative colitis and three misdiagnosed as Crohn′s disease. The median age of onset was 36 years (ranged from 26 to 52 years), and the median time from onset to CAEBV diagnosis was 18.5 months (ranged from 2.0 to 96.0 months). The main clinical characteristics of these patients included fever >38.5 ℃ in 10 cases, diarrhea in seven cases, abdominal pain in seven cases, abdominal lymph node enlargement in six cases and hematochezia in seven cases. Six patients primarily presented with gastrointestinal symptoms, and seven patients had involvement of extraintestinal organs, three patients developed hemorrhagic shock due to gastrointestinal bleeding. The laboratory findings included anemia in seven cases, elevated erythrocyte sedimentation rate in six cases, decreased natural killer cell activity in five cases, and elevated ferritin in three cases. Epstein-Barr virus (EBV) DNA were detected in the peripheral blood mononuclear cells (PBMCs) of nine patients, with a median viral load of 23 000 copies/mL. Seven patients were tested positive for anti-EBV viral capsid antigen IgG and nuclear antigen 1 IgG. The main endoscopy findings were hyperemia, edema of the affected intestinal wall mucosa, which could be accompanied by erosion, multiple scattered shallow ulcers with varying sizes. There were six patients with total colon involvement. The rectum was involved in three patients, and the esophagus, gastric antrum, duodenum and small intestine were each involved in one patient. Seven patients underwent follow-up colonoscopy after diagnosis, and four cases progressed. All 10 patients showed active chronic inflammation in the histopathological examinations of their intestinal tissue, with crypt changes in four cases and granulomatous changes in one cases. The intestinal tissues of eight patients were positive for EBER staining, and EBER positive cells≥50 cells/high-power field in seven patients. Seven patients were treated with 5-aminosalicylic acid before the correct diagnosis. Five patients had not improved or progressed upon the follow-up colonoscopy. Two patients died of uncontrolled massive hemorrhage of digestive tract.Conclusions:The clinical, endoscopic and pathological findings of patients with CAEBV intestinal involvement lack specificity. For IBD patients initially diagnosed accompanied by fever and evidence of extraintestinal organ involvement, it is recommended to simultaneously detect EBV DNA in PBMCs and blood plasma, EBER in intestinal tissue, and identify the main EBV-infected cells in peripheral blood and/or tissue, to distinguish CAEBV.

Colorectal cancer is one of the common malignant tumors of the digestive tract.With the popularization of screening methods and advancement of endoscopic technology,an increasing number of T1 stage colorectal cancers can be discovered.Accurately predicting lymph node metastasis risk is significantly important for guiding clinical treatment decisions,reducing complications and mortality.Current research on risk factors for lymph node metastasis in T1 stage colorectal cancer covers multiple aspects including clinical pathological features,molecular phenotypes and genetic characteristics.Some studies have built prediction models by integrating these factors,which show higher sensitivity,specificity and accuracy compared to current clinical guidelines.These models provide valuable experience for clinical practice.