ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

ObjectiveTo screen a set of short tandem repeat (STR) markers covering rat chromosomes 1-20 and the X chromosome, with 2-4 markers on each chromosome, and establish a dedicated marker panel for genetic contamination detection and strain identification of 5 commonly used inbred rat strains. MethodsSix 6-8 week-old rats (half male and half female) were selected from F344, BN, DA, Lewis, and PVG strain, respectively. Genomic DNA was extracted from rat tail tissues. A total of 61 STR markers were selected, including 27 from the national standard GB 14923—2022 and 34 from the literature. Singleplex STR PCR amplification combined with capillary electrophoresis was used for genotyping of the 5 inbred rat strains, and genotype data were analyzed using GeneMapper ID v3.2 software. Based on the STR genotyping results, genetic distances between strains were calculated with GenAlEx 6.51b2 software, and a phylogenetic tree of the inbred rat strains was constructed using MEGA7 software. ResultsAmong the 61 STR markers, non-specific amplification was observed for D15mit3, while no specific amplification product was obtained for D3wox7. LCA, AGT, and D5Hmgc2 exhibited no inter-strain polymorphism across the 5 inbred strains, while the remaining 56 markers exhibited inter-strain polymorphism. These 56 markers covered rat chromosomes 1-20 and the X chromosome (2-4 markers per chromosome). Among them, 42 markers could be used for genetic contamination detection in inbred rat strains. The amplified product lengths of D7wox14, D15rat123, and D20wox3 differed among the 5 strains, which could be applied for strain identification. The phylogenetic tree showed that the number of STR allelic differences between BN and F344 strains was 49, with a genetic distance of 1.775, both of which were the highest among all strain pairs. This indicated that the two strains exhibited the highest level of genetic differentiation and were the most distantly related. Among the 5 strains, F344, DA, and PVG clustered together, indicating their relatively close genetic distance, while BN and Lewis formed another cluster, indicating a relatively close genetic distance between them. The genetic relationships among the 5 strains were consistent with previous reports. ConclusionThis study successfully screened a set of STR markers for molecular genetic detection of 5 commonly used inbred rat strains, including F344, BN, DA, Lewis, and PVG, and established specific marker combinations for genetic contamination detection and strain identification, respectively.

Food-derived bioactive peptides (FBPs), particularly those with ten or fewer amino acid residues and a molecular weight below 1300 Da, have gained increasing attention for their safe, diverse structures and specific biological activities. The development of FBP-based functional foods and potential medications depends on understanding their structure‒activity relationships (SARs), stability, and bioavailability properties. In this review, we provide an in-depth overview of the roles of FBPs in treating various diseases, including Alzheimer's disease, hypertension, type 2 diabetes mellitus, liver diseases, and inflammatory bowel diseases, based on the literature from July 2017 to Mar. 2023. Subsequently, attention is directed toward elucidating the associations between the bioactivities and structural characteristics (e.g., molecular weight and the presence of specific amino acids within sequences and compositions) of FBPs. We also discuss in silico approaches for FBP screening and their limitations. Finally, we summarize recent advancements in formulation techniques to improve the bioavailability of FBPs in the food industry, thereby contributing to healthcare applications.
Humans ; Peptides/therapeutic use* ; Structure-Activity Relationship ; Functional Food ; Diabetes Mellitus, Type 2/drug therapy* ; Biological Availability ; Alzheimer Disease/drug therapy* ; Inflammatory Bowel Diseases/drug therapy* ; Hypertension/drug therapy* ; Liver Diseases/drug therapy* ; Bioactive Peptides, Dietary

Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. However, little is known about the unique characteristics and diagnostic biomarkers of tuberculosis in this population. In this study, 81 AYAs were recruited, and the high-quality serum proteome of the AYAs with tuberculosis was profiled by quantitative proteomics. The data of serum proteomics indicated that the relative abundance of hemoglobin and apolipoprotein was significantly reduced in the patients with active tuberculosis (ATB). The pathway enrichment analysis showed that the downregulated proteins in the ATB group were mainly involved in the antioxidant and cell detoxification pathways, indicating extensive oxidative stress damage. Random forest (RF) and extreme gradient boosting (XGBoost) were employed to evaluate protein importance, which yielded a set of candidate proteins that can distinguish between ATB and non-ATB. The analysis with the support vector machine algorithm (recursive feature elimination) suggested that the combination of apolipoprotein A-I (APOA1), hemoglobin subunit beta (HBB), and hemoglobin subunit alpha-1 (HBA1) had the highest accuracy and sensitivity in diagnosing ATB. Meanwhile, the levels of hemoglobin (HGB) and albumin (ALB) can be used as blood biochemical indicators to evaluate changes in the protein levels of APOA1 and HBB. This study established the serum proteome landscape of AYAs with tuberculosis and identified new biomarkers for the diagnosis of tuberculosis in this population.
Humans ; Proteomics/methods* ; Biomarkers/blood* ; Adolescent ; Young Adult ; Apolipoprotein A-I/blood* ; Machine Learning ; Tuberculosis/blood* ; Proteome/analysis* ; Male ; Hemoglobins/analysis* ; Female ; Blood Proteins/analysis* ; Adult

Objective:To evaluate the efficacy of dexmedetomidine-scalp nerve block (SNB) combined with general anesthesia in the patients with acute traumatic brain injury (TBI) undergoing craniotomy.Methods:In this randomized controlled trial, 74 American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ patients of either sex with acute TBI, aged 30-78 yr, with body mass index of 18-30 kg/m 2, underwent craniotomy for hematoma evacuation combined with decompressive craniectomy at the Traditional Chinese Medicine Hospital of Kunshan from January to December 2024, of the Glasgow Coma Scale score 8-12, were selected and divided into 2 groups ( n=37 each) using a random number table method: dexmedetomidine combined with ultrasound-guided SNB group (DS group) and ultrasound-guided SNB group (S group). Before anesthesia, dexmedetomidine was infused as a loading dose of 1 μg/kg over 10 min followed by an infusion of 0.3 μg·kg -1·h -1 until the end of operation. Ultrasound-guided SNB was performed after completion of intubation in both groups. The consumption of intraoperative fentanyl, propofol and remifentanil and the usage of vasoactive drugs were recorded. Before surgery (T 0), at 1 h after the start of surgery (T 1) and at the end of surgery (T 2), blood samples from the jugular bulbar and radial artery were collected, the jugular venous oxygen saturation was recorded, the arteriovenous oxygen content and cerebral oxygen uptake rate were calculated, and the occurrence of postoperative complications was also recorded. Results:Compared with group S, the consumption of fentanyl, propofol and remifentanil was significantly reduced, the usage rate of vasoactive drugs was decreased, the arteriovenous oxygen content and cerebral oxygen uptake rate were decreased at T 1 and T 2, the jugular venous oxygen saturation was increased, and the incidence of postoperative agitation was decreased in group DS ( P<0.05). Conclusions:Dexmedetomidine-SNB combined with general anesthesia can optimize the analgesic effect, improve cerebral oxygen supply and demand, reduce the occurrence of postoperative agitation when used in patients with acute TBI undergoing craniotomy.

Objective:To evaluate the diagnostic performance of the Vesical Imaging-Reporting and Data System（VI-RADS）based on multiparametric magnetic resonance imaging（mp-MRI）for muscle-invasive bladder cancer（MIBC）.Methods:A systematic search was conducted in PubMed，Web of Science，and Embase databases for studies published between September 2018 and December 2023 that investigated the use of VI-RADS for diagnosing MIBC. Inclusion criteria were studies utilizing mp-MRI-based VI-RADS scoring to determine MIBC. Exclusion criteria were studies with fewer than 10 patients，overlapping study populations，or those failing to assess the diagnostic performance of VI-RADS for MIBC. After quality assessment，RevMan 5.4 and Stata 15.1 were used to calculate pooled sensitivity and specificity，generate forest plots and summary receiver operating characteristic（SROC）curves，and determine the area under the curve（AUC）. Publication bias was assessed using Deeks funnel plot. Heterogeneity was evaluated using the I2 statistic，with meta-regression and subgroup analyses to explore its sources. Results:Twenty-nine studies involving 3 577 patients were included. At a VI-RADS cutoff of 3，the pooled sensitivity and specificity for MIBC diagnosis were 93%（95%CI 0.90-0.95）and 82%（95%CI 0.76-0.88），respectively. At a cutoff of 4，these values were 83%（95%CI 0.78-0.87）and 93%（95%CI 0.90-0.95）. The hierarchical SROC（HSROC）AUCs were 0.95 and 0.94 for cutoffs of 3 and 4，respectively. Subgroup and meta-regression analyses revealed that at a cutoff of 3，patient sample size，study design，MRI field strength，number of radiologists，surgical approach，and DWI/DCE imaging planes contributed to sensitivity heterogeneity（ P < 0.05）. All factors except study design and DWI plane were sources of specificity heterogeneity（ P < 0.05）. At a cutoff of 4，all factors significantly influenced heterogeneity in both sensitivity and specificity（ P < 0.05）. Meta-regression confirmed that both cutoffs（3 and 4）were significant sources of heterogeneity（ P < 0.05）. Conclusions:VI-RADS demonstrates excellent diagnostic performance for MIBC at both cutoffs（3 and 4），with VI-RADS ≥ 3 showing superior sensitivity and VI-RADS ≥ 4 offering higher specificity. The cutoff of 3 provides better overall diagnostic efficacy.

The ethnic medicine for external use is an important dosage form in the external treatment methods of ethnic medicine.China has made significant progress in related research and applications.However,the regulations and guidelines for clinical research on external medicine are limited,and the related technologies and quality standards are not yet well-established in China.This article summarized the specific issues during the implementation of clinical research on ethnic medicine of external use:the research design failing to reflect the value and unique characteristics of these medicine;the big difficulty in the recruitment of participants,leading to delays in progress;inconsistent implementation of interventions;and the quality of research data needing to be improved,etc.Combining the authors'experience in project implementation management,this article proposed solutions to improve research quality and progress,including incorporating experts from various fields including ethnic medicine and research centers;refining participant recruitment strategies;analyzing factors affecting progress and optimizing the implementation process;and strengthening overall management and establishing a competitive enrollment mechanism.The article also shared a case study of the Tibetan medicine Qingpeng Ointment for the treatment of acute gouty arthritis,aiming to provide a reference for the clinical research on ethnic medicine of external use.