Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

Objective: To analyze the dental plaque microecological characteristics and the levels of salivary interleukin (IL)-5, IL-12, and IL-16 in school aged children with mixed dentition, providing a theoretical basis for the prevention and control of childhood dental caries. Methods: A total of 199 school aged children admitted aged 6-12 years to Tianjin Stomatological Hospital from January 2023 to January 2025 were selected. According to the decayed missing and filled teeth(DMFT) index, they were divided into high caries group ( n =68, DMFT index≥4), low caries group ( n =65, 1≤DMFT index≤3) and caries free group ( n =66, DMFT index=0). The microbial composition of dental plaque was analyzed by 16S rDNA high throughput sequencing. Salivary levels of IL-5, IL-12 and IL-16 were detected by enzymelinked immunosorbent assay kit. Pearson correlation test was used to analyze the correlation between levels of salivary IL-5, IL-12 and IL-16 and the DMFT index in children with caries. Results: Species richness and evenness (Shannon index) and uniformity (Shannonevenness index) in the high caries group were (3.28±0.64) and (0.61±0.13), respectively, which were lower than (3.66±0.52) and (0.74±0.15) in low caries group, and ( 3.60± 0.49) and (0.72±0.16) in caries free group ( F =9.08, 15.20, both P <0.05). The relative abundances of Firmicutes and Actinobacteria in the high caries group were higher than those in the low caries and caries free groups, while the relative abundances of Bacteroidetes, Fusobacteria, and Candidate phylum TM7 were lower than those in the low caries and caries free groups. The relative abundances of Streptococcus, Leptotrichia, Veillonella, Prevotella, and Actinomycesin in the high caries group were higher than those in the low caries and caries free groups, while the relative abundances of Capnocytophagaand Porphyromonas were lower ( F = 47.55- 1 969.24 , all P <0.05). The levels of salivary IL-5, IL-12, and IL-16 in the high caries group [(12.57±3.21, 28.73±6.79, 45.31 ±11.14)pg/mL] were higher than those in the low caries [(8.63±2.39, 18.16±4.62, 32.60±9.46)pg/mL] and caries free groups [(7.84±2.17, 14.94±3.83, 29.55±8.21)pg/mL] ( F =62.08, 141.23, 49.35, all P <0.05). Pearson correlation test results showed that salivary IL-5, IL-12, and IL-16 levels were positively correlated with the DMFT index in children with caries ( r = 0.73 , 0.68, 0.65, all P <0.05). Conclusions The microecological structure of dental plaque in school aged children with mixed dentition caries is significantly altered, the levels of pro inflammatory factors are significantly elevated, and these levels are positively correlated with the severity of caries.Oral microbial dysbiosis and local inflammatory responses may play a key role in the development and progression of dental caries.

The Type III Secretion System (T3SS) serves as a pivotal virulence apparatus for numerous Gram-negative bacterial pathogens, enabling them to infect both animal and plant hosts. Functioning as a molecular syringe, the T3SS directly translocates bacterial effector proteins from the bacterial cytoplasm into the interior of eukaryotic host cells. These effectors are central weapons that precisely manipulate a wide spectrum of host cellular physiological processes, ranging from cytoskeletal dynamics to immune signaling, to establish a favorable niche for bacterial survival and proliferation. Among the diverse arsenal of T3SS effectors, the YopJ family constitutes a critical group of virulence factors. Members of this family are characterized by a conserved catalytic triad structure—a hallmark of the CE clan of cysteine proteases that has been evolutionarily repurposed to confer acetyltransferase activity. A defining and intriguing feature of these enzymes is their stringent dependence on a host-derived eukaryotic cofactor, inositol hexakisphosphate (IP₆), for allosteric activation. This requirement acts as a sophisticated molecular safeguard, ensuring enzymatic activity only within the appropriate host environment, thereby preventing detrimental effects on the bacterium itself. While seminal studies on individual members such as Yersinia’s YopJ and Salmonella’s AvrA have provided deep mechanistic insights, a systematic and integrative understanding of the structure-function relationships across the entire family remains fragmented. Key questions persist regarding how a conserved catalytic core has diverged to recognize distinct host substrates in different kingdoms of life. To address this gap, this article provides a systematic review of the YopJ family, focusing on three interconnected aspects: their structural features, their catalytic mechanism, and their divergent immunosuppressive strategies in animal versus plant hosts. By conducting a comparative analysis of the sequences and resolved three-dimensional structures of three representative members (e.g., HopZ1a, PopP2, AvrA), we elucidate regions of significant variation embedded within the conserved core catalytic architecture. These variable regions, often involving surface loops and substrate-binding interfaces, are crucial determinants of target specificity and functional specialization. The functional divergence of this effector family is most apparent when comparing their modes of action in different hosts. In animal hosts, YopJ-family effectors primarily sabotage innate immune signaling pathways. They achieve this by acetylating key serine and threonine residues within the activation loops of critical kinases in the MAPK and NF‑κB pathways. This post-translational modification blocks the phosphorylation and subsequent activation of these kinases, leading to potent suppression of inflammatory cytokine production. Conversely, in plant hosts, the strategy broadens to dismantle the two-tiered plant immune system. YopJ homologs target a more diverse set of substrates, including immune-associated receptor-like cytoplasmic kinases (RLCKs), microtubule networks via tubulin acetylation (which disrupts cellular trafficking and signaling), and transcription factors central to defense gene regulation. This multi-target approach effectively suppresses both Pattern-Triggered Immunity (PTI) and Effector-Triggered Immunity (ETI). In conclusion, this synthesis aims to deepen the mechanistic understanding of YopJ family-mediated pathogenesis by integrating structural biology with cellular function across host kingdoms. Elucidating the precise molecular basis for substrate selection—how conserved platforms achieve target diversity—is a major frontier. Furthermore, this knowledge provides a vital theoretical foundation for developing novel anti-virulence strategies. Targeting the conserved IP₆-binding pocket or the catalytic acetyltransferase activity itself represents a promising avenue for designing broad-spectrum inhibitors that could disarm this critical family of bacterial effectors, potentially offering new therapeutic approaches against a range of pathogenic bacteria.

ObjectiveTo construct a nomogram prediction model for non-valvular persistent atrial fibrillation （PeAF） patients with left ventricular hypertrophy （LVH） ， followed by prognostic analysis through follow-up. MethodsThis study retrospectively enrolled 949 patients with newly diagnosed and hospitalized non-valvular PeAF. Among them， 403 patients presented with LVH. The cohort was randomly stratified into a training set （n=665） and a validation set （n=284）. Univariate and multivariate Logistic regression analyses were employed to identify independent risk factors for PeAF complicated by LVH. A nomogram prediction model was subsequently constructed and evaluated for discriminative ability， calibration， and clinical utility using receiver operating characteristic （ROC） curve analysis， calibration plots， and decision curve analysis （DCA）. ResultsSeven independent risk factors were ultimately identified and included in the prediction model： female sex， hypertension， diabetes， red blood cell distribution width-SD （RDW-SD）， body mass index （BMI）， left atrial diameter （LAD）， and left ventricular ejection fraction （LVEF）. The area under the ROC curve （AUC） in the training set was 0.862 （95% CI： 0.834-0.890）， and in the validation set， it was 0.870 （95% CI： 0.829-0.911）， demonstrating excellent predictive performance. ConclusionIndependent risk factors for LVH in PeAF patients include female， hypertension， diabetes， RDW-SD， BMI， LAD， and LVEF. The prediction model built based on this can help early identification of PeAF patients with high risk of LVH. At the same time， the incidence of major adverse cardiovascular events （MACE） is higher in PeAF patients with LVH. Patients with atrial fibrillation combined with LVH may benefit from catheter ablation.

Objective: To investigate the association between screen time (ST) during leisure time and anxiety-depression symptoms among middle school students, so as to provide a basis for formulating relevant intervention measures. Methods: From November to December 2023, a stratified cluster random sampling method was used to select 2 542 students from junior and senior high school in Taiyuan City. A self designed questionnaire, the Generalized Anxiety Disorder Scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were used to investigate ST and anxiety/depression symptoms among middle school students. The Logistic regression model was used to explore the association of ST with symptoms of anxiety and depression, as well as with anxiety and depression comorbiditles (CAD). Results: The detection rates of anxiety symptoms, depression symptoms, and CAD were 13.69%, 15.77%, and 10.11%, respectively. The median ST was 2.00 h/d [interquartile range ( IQR =2.38) for weekly averages], with 0.33 h/d ( IQR =1.67) on work days and 5.00 h/d ( IQR=5.50) on rest days. Logistic regression analysis indicated that the total ST of mobile phones during rest days ( OR =1.07, 1.10, 1.11) and the averages ST of mobile phones over a week ( OR = 1.20 , 1.22, 1.29), as well as the total ST of all screen types during rest days ( OR =1.04, 1.04, 1.05) and the averages ST of all screen types over a week ( OR =1.08, 1.09, 1.21) were positively correlated with anxiety symptoms, depression symptoms, and CAD (all P <0.01). Conclusions Among middle school students in Taiyuan City, screen time is positively correlated with symptoms of anxiety or depression and the comorbidity of anxiety and depression, especially smartphone screen time and weekend screen use. Therefore, measures should be implemented to reduce unnecessary screen time among middle school students, especially the use of mobile phones, in order to mitigate the occurrence of anxiety and depression.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Local anesthetics (LAs), such as articaine (AT), exhibit limited efficacy in inflammatory environments, which constitutes a significant limitation in their clinical application within oral medicine. In our prior research, we developed AT-17, which demonstrated effective properties in chronic inflammatory conditions and appears to function as a novel oral LA that could address this challenge. In the present study, we further elucidated the beneficial effects of AT-17 in acute inflammation, particularly in oral acute inflammation, where mitochondrial-related apoptosis played a crucial role. Our findings indicated that AT-17 effectively inhibited lipopolysaccharide (LPS)-induced nerve cell apoptosis by ameliorating mitochondrial dysfunction in vitro. This process involved the inhibition of mitochondrial reactive oxygen species (mtROS) production and the subsequent activation of the NRF2 pathway. Most notably, improvements in mitochondria-related apoptosis were key contributors to AT-17's inhibition of voltage-gated sodium channels. Additionally, AT-17 was shown to reduce mtROS production in nerve cells through the Na⁺/NCLX/ETC signaling axis. In conclusion, we have developed a novel local anesthetic that exhibits pronounced anesthetic functionality under inflammatory conditions by enhancing mitochondria-related apoptosis. This advancement holds considerable promise for future drug development and deepening our understanding of the underlying mechanisms of action.

OBJECTIVES: To investigate the therapeutic effect of Ziwuliuzhu acupuncture in a rat model of insomnia and its regulatory effect on the glutamic acid (Glu)/γ-aminobutyric acid (GABA)-glutamine (Gln) metabolic loop. METHODS: Forty male SD rats were randomly assigned to control group, model group, Najia group and Nazi group (n=10). In the latter 3 groups, rat models of insomnia were established by intraperitoneal injections of p-chlorophenylalanine and verified using a sodium pentobarbital-induced sleep test. After modeling, the rats in Najia and Nazi groups received acupuncture for 7 days at specifically chosen sets of acupoints based on the Ziwuliuzhu rationale in traditional Chinese medicine. Pathological changes in the hypothalamic tissue of the rats were examined with HE staining, and the levels of Glu and GABA in the hypothalamus were determined with high-performance liquid chromatography (HPLC)-mass spectrometry (MS)/MS. Immunohistochemistry was used to detect the expressions of GABAA receptors (GABAARs) in the hypothalamus, and the expression levels of glutamate decarboxylase (GAD65/67) and glutamine synthetase (GS) were determined with Western blotting. RESULTS: Compared with the model group, the rats in Najia and Nazi groups exhibited decreased Glu levels and GABAA receptor expression and increased GABA levels with a decreased Glu/GABA ratio in the hypothalamus. Ziwuliuzhu acupuncture significantly increased the protein expressions of GAD65 and GAD67 and lowered the expression of GS in the hypothalamus in the rat models of insomnia. CONCLUSIONS Ziwuliuzhu acupuncture produces sedative and hypnotic effects in rat models of insomnia possibly by regulating Glu and GABA-Gln metabolism to restore the excitatory/inhibitory balance between Glu and GABA.
Animals ; Rats, Sprague-Dawley ; Male ; Rats ; gamma-Aminobutyric Acid/metabolism* ; Sleep Initiation and Maintenance Disorders/therapy* ; Glutamine/metabolism* ; Glutamic Acid/metabolism* ; Acupuncture Therapy ; Hypothalamus/metabolism* ; Receptors, GABA-A/metabolism* ; Acupuncture Points