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.

Objective:To investigate the effect of ultrasound-guided scalp nerve block (SNB) combined with dexmedetomidine on cerebral blood flow after craniotomy in patients with acute traumatic brain injury (TBI).Methods:A randomized controlled design was conducted. Patients aged 25-65 years, with ASA physical status I–III and Glasgow Coma Scale scores of 9-12, who underwent craniotomy for acute TBI at Kunshan Traditional Chinese Medicine Hospital between January 2024 and February 2025 were selected. Patients with unstable vital signs, cranial tumors, cardiovascular diseases, local anesthetic allergies, or infections at the puncture site were excluded. Using a random number table, patients were divided into two groups: the ultrasound-guided SNB combined with dexmedetomidine group (SD group) and the dexmedetomidine-alone group (D group). General clinical data, peak systolic velocity (PSV), mean blood flow velocity (MBFV), intracranial pressure (ICP), S100 calcium-binding protein beta (S-100β protein), neuron-specific enolase (NSE) levels, and postoperative complications were compared. Dynamic changes in PSV and MBFV were analyzed using repeated measures analysis of variance, while inter-group comparisons used independent sample t-tests. Results:A total of 79 patients were included, with 40 in the SD group and 39 in the D group. There were no significant differences in general clinical data between the two groups (all P>0.05). In the D group, PSV and MBFV at T 1 and T 2 were significantly higher than at T0 [(125.04±20.43) cm/s vs. (126.83±21.76) cm/s vs. (110.63±18.49) cm/s, P=0.001; (61.75±8.34) cm/s vs. (62.81±8.54) cm/s vs. (57.82±6.93) cm/s, P=0.017], whereas no significant differences were observed in the SD group (all P>0.05). PSV, MBFV, ICP, S-100β protein, and NSE levels at T1 and T2 in the SD group were lower than those in the D group (all P<0.05). The incidence of postoperative hypertension, agitation, and the use rate of vasoactive drugs were also lower in the SD group compared to the D group (all P<0.05). Conclusion:The application of ultrasound-guided SNB combined with dexmedetomidine in TBI patients after craniotomy can help stabilize cerebral blood flow and ICP, mitigate neuronal injury, and reduce the incidence of postoperative complications.

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

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

Objective:To evaluate the efficacy and analyze the causes of complications of allogeneic decellularized dermal matrix grafts in the treatment of gingival recession using tunneling technology.Methods:Sixty patients with single or multiple gingival re-cession were randomly divided into an allogeneic decellularized matrix(ADM)group and a connective tissue(SCTG)group.Tunne-ling technique(TUN)were used in both groups to cover the root surface,and the gingival margin position,gingival margin morpholo-gy,and mucogingival junction position of the affected teeth at 1 week,3 weeks,3 months,and 6 months after surgery were observed.Check and record the gingival recession depth(RD)and mean root coverage(MRC)at the implant site before and 6 months after surgery.Record patient satisfaction at 3 weeks and 6 months after surgery.Results:Compared with the traditional SCTG group,the MRC of the ADM group was significantly lower before surgery and 6 months after surgery(P＜0.05).The satisfaction level of the ADM group was higher 3 weeks after surgery,with a significant difference compared to the SCTG group(P＜0.05).But 6 months after surgery,the satisfaction levels of the two groups tended to be consistent,with no significant difference.After TUN+ADM surgery,there was 1 case of abscess infection lesion,and another 3 cases showed local tissue necrosis at the gingival margin one week after surgery.After 3 months of treatment,the gingival color of these 4 patients was pink and tough texture,without swelling and bleeding.Conclusion:Although ADM is slightly inferior to SCTG in the treatment of gingival recession,it may be related to poor postoperative tissue healing complications.However,as long as it is handled properly,long-term follow-up observations have shown that gingival tissue can still achieve complete healing.TUN+ADM is a highly effective treatment for gingival recession and is suitable for further clinical application.

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.