[Objective] To explore the relationship between neutrophil activation under cardiopulmonary bypass (CPB) and the incidence of cardiac surgery-associated acute kidney injury (CS-AKI). [Methods] This prospective cohort study enrolled adult patients who scheduled for cardiac surgery under CPB at West China Hospital between May 1, 2022 and March 31, 2023. The primary outcome was acute kidney injury (AKI). Blood samples (5 mL) were obtained from the central vein before surgery, at rewarming, at the end of CPB, and 24 hours after surgery. Neutrophils were labeled with CD11b, CD54 and other markers. To assess the effect of neutrophils activation on AKI, propensity score matching (PSM) was employed to equilibrate covariates between the groups. [Results] A total of 120 patients included into the study, and 17 (14.2%) developed AKI. Both CD11b⁺ and CD54⁺ neutrophils significantly increased during the rewarming phase and the increases were kept until 24 hours after surgery. During rewarming, the numbers of CD11b⁺ neutrophils were significantly higher in AKI compared to non-AKI (4.71×10⁹/L vs 3.31×10⁹/L, Z=-2.14, P<0.05). Similarly, the CD54⁺ neutrophils counts were also significantly higher in AKI than in non-AKI before surgery (2.75×10⁹/L vs 1.79×10⁹/L, Z=-2.99, P<0.05), during rewarming (3.12×10⁹/L vs 1.62×10⁹/L, Z=-4.34, P<0.05), and at the end of CPB (4.28×10⁹/L vs 2.14×10⁹/L, Z=-3.91, P<0.05). An analysis of 32 matched patients (16 in each group) revealed that CD11b⁺ and CD54⁺ neutrophil levels of AKI were 1.74 folds (4.83×10⁹/L vs 2.77×10⁹/L, Z=-2.72, P<0.05) and 2.34 folds (3.32×10⁹/L vs 1.42×10⁹/L, Z=-4.12, P<0.05), respectively, of non-AKI at rewarming phase. [Conclusion] Neutrophils are activated during CPB, and they can be identified by CD11b/CD54 markers. The activated neutrophils of AKI patients are approximately 2 folds of non-AKI during the rewarming phase, with disparity reached peak between groups during rewarming. These findings suggest the removal of 50% of activated neutrophils during the rewarming phase may be effective to reduce the risk of AKI.

ObjectiveTo investigate the effects of probiotics combined with bismuth quadruple therapy （BQT） on clinical efficacy、gastrointestinal adverse reactions and intestinal flora in Helicobacter pylori （HP） positive patients. MethodsThe patients who were positive for HP from May 2023 to July 2023 in the department of gastroenterology of Shanghai first people's hospital were randomly divided into2 groups with 40 people in each group. The probiotic group was given 2 weeks of quadruple therapy with probiotics and standard BQT， followed by 4 weeks of oral probiotics after quadruple discontinuation. The placebo group was given 2 weeks of probiotic placebo and standard BQT， followed by 4 weeks of oral probiotic placebo. ¹³C urea breath test was used to evaluate the clinical efficacy， gastrointestinal symptoms rating Scale was used to evaluate the gastrointestinal adverse reactions of patients before and after the intervention， and microbial diversity 16S rDNA sequencing technology was used to detect the level of intestinal flora of patients before and after the intervention. ResultsThere was no significant difference in the eradication rate between the two groups （P>0.05）. Before the intervention， there was no significant difference in the scores of the gastrointestinal symptom rating scale between the probiotic group and the placebo group. After the intervention， patients in the probiotic group had significantly lower pain scores on acid reflux （1.10±0.30 vs 1.35±0.53， P<0.05） and stomach or abdominal hunger than in the placebo group （1.07±0.26 vs 1.30±0.52， P<0.05）. Through the before-and-after comparison of the probiotic group， the scores of abdominal pain （1.24±0.44 vs 1.58±0.71， P<0.05）， stomach or abdominal hunger （1.07±0.26 vs 1.27±0.45， P<0.05） and dry and hard stool （1.24±0.49 vs 1.48±0.75，P<0.05） were significantly lower in the probiotic group than before the intervention in the probiotic group. ConclusionProbiotics combined with BQT can improve the gastrointestinal adverse reactions and intestinal flora disorders in the process of quadruple drug therapy， but it does not improve the eradication rate of HP.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

This experiment aims to study the taste-masking effects of different kinds of corrigent used individually and in combination on ibuprofen oral solution, in order to optimize the taste-masking formulation. Firstly, a wide range of corrigent and the mass fractions were extensively screened using electronic tongue technology. Subsequently, a combination of sensory evaluation, analytic hierarchy process (AHP)-fuzzy mathematics evaluation, and Box-Behnken experimental design were employed to comprehensively assess the taste-masking effects of different combinations of corrigent on ibuprofen oral solution, optimize the taste-masking formulation, and validate the results. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine (ethical code: 2024BZYLL0102). The results showed that corrigent fractions and types were screened separately through single-factor experiments. Subsequently, a Box-Behnken response surface design combined with AHP and fuzzy mathematics evaluation was used to fit a functional model: Z = 688.310 11 - 3 023.722 22X₁ - 11.477 00X₂ + 62.721 67X₃ + 14.600 00X₁X₂ - 179.666 67X₁X₃ - 3.152 00X₂X₃ + 4 031.111 11X₁² + 0.525 28X₂² + 9.772 00X₃². This model is stable and reliable, determining the optimal taste-masking formulation to be 3.9 g·L^-1 of stevioside, 100 g L^-1 of xylitol, and 30 g L^-1 of methyl-β-cyclodextrin. The comprehensive score of the verification test is 88.14, with a relative RSD of 0.39%, indicating the feasibility of this model. This study achieved the improvement of the taste of ibuprofen oral solution through a combination of objective and subjective methods. Three types of corrigent were identified for enhancing drug taste, leading to the selection of the optimal taste-masking formulation for ibuprofen oral solution. This significantly enhanced the taste of the original formulation, improved patient compliance, and offered a new approach to mitigating the undesirable taste of formulations.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

[Purpose]To analyze the compliance and influencing factors of endoscopic screening in high-risk population of upper gastrointestinal cancer(UGC)in Chongqing Municipality.[Methods]Risk assessment of UGC was conducted among residents aged 40～74 years old in the areas covered by the Chongqing Urban Cancer Early Diagnosis and Treatment Program from 2012 to 2019.The residents with high risk of UGC were advised to receive free endoscopic screening in designated hospitals.The compliance and influencing factors of endoscopic screening among high-risk sub-jects were analyzed.[Results]There were 266 611 residents who completed the questionnaires and UGC risk assessment,among whom 48 000(18.00％)were assessed as high risk.A total of 9 162 high-risk individuals received the following endoscopic screening with a compliance rate of 19.09％.Multivariate Logistic regression analysis showed that residents aged 45～64 years old,with high school or above education,divorced or widowed status,occupational exposure to haza-rdous substances,hot food preference,high fat diet,frequent consumption of pickled and dried food,exposure to kitchen fume,psychic trauma or depression,upper gastrointestinal disease his-tory and family history of UGC were likely to accept endoscopic screening;while those aged 70 years old and above,current smokers,and having regular physical exercise were likely to have low compliance.[Conclusion]Among high-risk residents of UGC in Chongqing,the compliance to endoscopic screening needs be improved,health education and management should be targeted to those likely to have low compliance.

Aggregatibacter aphrophilus(A.aphrophilus)is a normal bacterial flora in the oropharynx,and rarely causes lumbar spine infection in clinical practice.As fastidious bacteria,A.aphrophilus has high nutritional requirements,thus is difficult to be cultured and identified,and prone to be missed in detection.A.aphrophilus was detected from the blood culture of a patient with lumbar spine infection in a hospital.The anti-infection treat-ment based on detection results for the patient was effective after adjusting antimicrobials.This paper reports a rare case of A.aphrophilus lumbar spine infection with literature reviews.

Acute respiratory distress syndrome(ARDS)is a severe critical respiratory disease characterized by refractory hypoxemia,which is caused by intrapulmonary and extrapulmonary factors.It has a rapid onset,and high morbidity and mortality.With the global prevalence and mutation of respiratory viruses,the diagnosis and treatment of ARDS have become more complicated,requiring exploration into the molecular mechanisms and effective therapeutic methods of the occurrence and development of ARDS in clinical practice.Researchers have found that the pathogenesis of ARDS involves the interaction of multiple factors,including imbalances in inflammatory responses and redox reactions,dysregulation of endothelial cells,disruption of alveolar-capillary barrier and abnormalities in coagulation function.Although advancements in molecular biology techniques such as genomics and proteomics have provided new insights into the pathogenesis of ARDS,there is still a lack of early diagnostic biomarker and effective drugs targeted for ARDS.At present,more comprehensive and in-depth basic and clinical research is still needed.Increasing evidence suggests that transient receptor potential vanilloid-1(TRPV1),also known as the capsaicin receptor,plays a crucial role in respiratory system diseases.TRPV1 is widely distributed in the upper respiratory tract,airway smooth muscle,alveoli and pulmonary blood vessels,participating in mediating airway dilation and constriction,cough reflex,and release of inflammatory mediators related to inflammation and pain,as well as sensing and transmitting various biological signals related to temperature,chemical substances and mechanical stress stimuli in the respiratory system.The widespread distribution and diverse physiological functions of TRPV1 make it a research hotspot in the occurrence and development of respiratory system diseases such as pneumonia,pulmonary edema,cough,asthma and acute lung injury.This article reviews the correlation and molecular mechanisms between ARDS caused by sepsis,traumatic brain injury and respiratory viruses with TRPV1,aiming to summarize the positive effects of regulating TRPV1 expression on the pathogenesis of ARDS and provide reference for strengthening early diagnosis and effective intervention measures for ARDS.

Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.

Objective To construct and identify an organoid model of human placental site trophoblastic tumor(PSTT).Methods The tumor cells were obtained by digesting and separating the PSTT tissues and then embedded in Matrigel.The organoids were cultured in the specific organoid medium.The histological morphology of the organoid model was observed by HE staining and the expression levels of the PSTT specific markers[human placental prolactin(HPL),human leukocyte antigen-G(HLA-G)and placental alkaline phosphatase(PLAP)]were detected by immunohistochemistry and immunofluorescence,so as to evaluate the consistency between the organoid model and the PSTT tissue.Meanwhile,the morphology and forming efficiency of the constructed model were observed under a microscope after primary culture,passage generation and cryopreservation to evaluate its potential application as an organoid model in basic and clinical translational research of PSTT.Results The constructed organoid model could proliferate stably,growing from small microspheres into compact solid spheres or spheres with follicle-like structures,and could passage after fully grown in 7-10 days.The cell state remained stable after passage,frozen storage and recovery.HE staining showed that the morphology of the cells in the organoids was similar to that of the primary PSTT tumor cells,and immunofluorescence staining showed that the organoids highly expressed HLA-G and lowly expressed β-HCG,indicating that the constructed organoid model mainly contained intermediate trophoblast.Conclusion The adult-derived PSTT organoid(ADPO)models were successfully established.