ObjectiveTo explore the relationship between acne vulgaris and gut microbiota. MethodsA total of 29 clinical cases diagnosed with moderate-to-severe acne vulgaris and 26 healthy individuals as control subjects were recruited. Fecal specimens were collected from all participants， and further analysis of gut microbial communities was performed by leveraging high-throughput sequencing techniques that target the hypervariable regions of 16S rRNA genes. ResultsAssociations between acne vulgaris and alterations in gut microbiota were identified. At the phylum level， the relative abundance of Bacteroidota exhibited a statistically significant elevation in the acne vulgaris cohort when compared with the healthy control group （P<0.01）， while Cyanobacteria was significantly lower in the acne group （P<0.01）. At the genus level， the top five different bacterial taxa in both groups were Bacteroides， Escherichia⁃Shigella， Klebsiella， Roseburia， and Parabacteroides. Among them， Bacteroides， Roseburia， and Parabacteroides were more abundant in acne patients. Linear discriminant analysis identified five biomarkers all belonging to the Bacteroidota phylum in the acne and control groups. These biomarkers belong to the phylum Bacteroidetes. ConclusionThere are significant differences in the composition of intestinal microbiota between acne patients and healthy people. Changes in the richness of specific bacterial genera may become new targets for the diagnosis and treatment of acne.

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.

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.

Objective To establish a HPLC method for the simultaneous determination of artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D in the water extract of Artemisia annua L.Methods The analysis was performed on Agilent ZORBAX SB-C18(250 mm×4.6 mm,5 μm)column with a mobile phase of acetonitrile(A)-water(B)and the flow rate of 0.8 mL·min-1 in a gradient elution manner.The column temperature was 30℃.The injection volume was 10 μL,and the detection wavelength was 210 nm.Results Artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D were correlated well linearly with peak area in their respective ranges 1.608 8-16.088 μg(r=0.999 9),0.014 1-0.141 4 μg(r=1),0.185 1-1.850 9 μg(r=0.999 9),0.144 1-1.441 4 μg(r=0.999 9),the average recovery rate(n=6)were 102.44%,97.82%,95.07%,95.55%,and the RSD values were 1.12%,1.44%,1.29%,1.53%.Conclusion This method is convenient and accurate.It has good stability and repeatability,and can be used to simultaneously determine the content of artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D in the water extract of Artemisia annua L.

Objective To explore the effect of FBXW7 on ferroptosis in head and neck squamous cell carcinoma.Methods Head and neck squamous cell lines HN4 and HN6 were cultured in vitro.FBXW7 and SOX2 overexpression plasmids were constructed,and the plasmids were stably transfected into cell lines.The overexpression transfection efficiency was verified at the transcription level and protein level by qRT-PCR and Western blot experiments,respectively.The lipid peroxidation levels of head and neck squamous cell carcinoma cells with overexpressing FBXW7 were verified by measuring malondialdehyde(MDA),glutathione(GSH),and reactive ox-ygen species(ROS)levels.After treating cells with ferroptosis inhibitor Fer-1,the changes in cell viability were further detected to ver-ify the effect of FBXW7 on ferroptosis.The effect of transfection of the overexpressed plasmid on cellular pathways was detected by Western blot.Results HN4 and HN6 cell lines showed increased levels of lipid peroxidation after overexpression of FBXW7,and the ferroptosis inhibitor Fer-1 was able to effectively reverse the ferroptosis induced by overexpression of FBXW7.Western blot assay results showed that overexpression of FBXW7 reduced the expression of c-Myc,SOX2 and SLC7A11.Conclusion FBXW7 regulates the ex-pression of SOX2-SLC7A11 by degrading c-Myc,thereby effectively regulating ferroptosis in HNSCC.

Desensitization therapy for iodinated contrast media (ICM) aims to induce drug tolerance in patients with a history of severe allergic reactions to ICM in a short time. Currently, there is no widely accepted consensus on inducing desensitization to avoid severe allergic responses to ICM. The clinically successful cases have shown that prophylactic use of antihistamines and glucocorticoids can increase the desensitization effect; repeatedly desensitizing and gradually increasing the dose can be conducive to establishing better tolerance to ICM. Most desensitization effects, including stress resistance, can endure 24-48 h. The mechanisms of desensitization therapy remain unclear, the initial dose, administration interval and dose gradient are largely based on clinical experiences and the reaction of patients. This article reviews the current research progress on ICM-related allergies, desensitization methods and related mechanisms, as well as the benefits and hazards of desensitization, to provide a reference for desensitization treatment of hypersensitivity to ICM .
Humans ; Contrast Media/adverse effects* ; Consensus ; Glucocorticoids ; Hypersensitivity

Postnatal heart maturation is the basis of normal cardiac function and provides critical insights into heart repair and regenerative medicine. While static snapshots of the maturing heart have provided much insight into its molecular signatures, few key events during postnatal cardiomyocyte maturation have been uncovered. Here, we report that cardiomyocytes (CMs) experience epigenetic and transcriptional decline of cardiac gene expression immediately after birth, leading to a transition state of CMs at postnatal day 7 (P7) that was essential for CM subtype specification during heart maturation. Large-scale single-cell analysis and genetic lineage tracing confirm the presence of transition state CMs at P7 bridging immature state and mature states. Silencing of key transcription factor JUN in P1-hearts significantly repressed CM transition, resulting in perturbed CM subtype proportions and reduced cardiac function in mature hearts. In addition, transplantation of P7-CMs into infarcted hearts exhibited cardiac repair potential superior to P1-CMs. Collectively, our data uncover CM state transition as a key event in postnatal heart maturation, which not only provides insights into molecular foundations of heart maturation, but also opens an avenue for manipulation of cardiomyocyte fate in disease and regenerative medicine.
Gene Expression Regulation ; Heart ; Myocytes, Cardiac/metabolism* ; Single-Cell Analysis ; Transcription Factors/metabolism*

Objective: To understand mental health status of middle school students in Weifang, and to analyze its association with health risk behaviors, and to provide a reference basis for the effective prevention of mental health problems. Methods: Using the self-designed questionnaire and Kessler l0 (K10), a total of 3 185 middle school students in Weifang selected by using stratified clustered sampling were investigated. Chi-square test and binary Logistic regression was used for statistical analysis. Results: Among the middle school students in Weifang, 1 634(51.3%) reported good mental health, 854(26.8%) in moderate level, 394(12.4%) reported poor mental health, and 303(9.5%) reported very poor mental health. Sleep duration and smoking were associated with mental health of middle school students (P<0.05). Logistic regression analyses showed that, compared with adolescents with sleep duration less than 8 h, mental health among students whose sleep duration ≥8 h was better(OR=0.36); compared with non-smokers, students who smoked showed worse mental health status (OR=3.53). Conclusion Health-risk behaviors are closely related to mental health of middle school students. Relevant departments should strengthen education and publicity of healthy lifestyles, and pay close attention to the impact of health risk behaviors on mental health.