Background Lead is a typical persistent environmental pollutant that can accumulate in bones for decades. During pregnancy, alterations in calcium metabolism promote the mobilization of bone lead, resulting in secondary exposure; however, the mechanisms by which pregnancy-associated bone lead mobilization affects maternal renal function remain unclear. Objective To investigate the role of mitochondrial dysfunction in pregnancy-related bone lead mobilization-induced renal injury. Methods Newly weaned female Wistar rats were randomly assigned to a control or a lead-exposed group administered either 0.05% sodium acetate or 0.05% lead acetate in drinking water. Following a 4-week lead exposure and a 4-week washout period, the females were co-housed with healthy age-matched males for mating. Rats were sacrificed at early (gestational day 3) and late (gestational day 17) pregnancystages, respectively. Renal histopathology was assessed using hematoxylin and eosin staining staining. Mitochondria-related indicators, including oxidative stress, inflammatory responses, and energy metabolism, were measured. Differential metabolites were identified using serum metabolomics. Results Renal injury in the lead-exposed pregnant rats progressed in a time-dependent manner, characterized by degeneration of proximal tubular epithelial cells, glomerular hyaline changes, and interstitial inflammatory cell infiltration. Repeated measures ANOVA indicated a significant interaction between the treatment factor (lead exposure) and the temporal factor (gestational stage) on renal injury (P<0.001). Further analysis of mitochondrial function-related indicators in late-pregnancy renal tissue revealed that the lead exposure group exhibited significantly increased levels of malondialdehyde (MDA) and reactive oxygen species (ROS) (P<0.05), accompanied by a reduction in superoxide dismutase (SOD) and reduced glutathione (GSH) activities (P<0.05); regarding inflammatory markers, levels of interleukin-18 (IL-18) and interleukin-1β (IL-1β) were elevated (P<0.01), whereas interleukin-33 (IL-33) was decreased in the lead-exposed group (P<0.05); energy metabolism-related indicators, including adenosine triphosphate (ATP) level, Na⁺-K⁺-ATPase and Ca²⁺-Mg²⁺-ATPase activities, and mitochondrial respiratory chain complexes I, III, and V activities, were significantly reduced (P<0.05) in the lead-exposed gorup. The typical differential metabolite N-methylisoleucine, identified through serum metabolomics analysis, was negatively correlated with blood lead levels, kidney injury scores, and IL-1β, while positively correlated with catalase (CAT) activity and Ca²⁺-Mg²⁺-ATPase. Conclusions Mitochondrial dysfunction may play a critical role in renal injury induced by bone lead mobilization during late gestation.

The Fragment of Dunhuang Ancient Tibetan Moxibustion Therapy contains rich content on fire moxibustion therapy of Tubo-period Tibetan medicine, characterized by distinctive clinical features of Tibetan acupuncture and strong regional attributes. This paper systematically reviews the relevant materials on moxibustion in the Fragment and summarizes the findings as follows: Tibetan fire moxibustion mainly uses mugwort as the material, and terms like "fine mugwort", "broad bean" and "sheep dung pellet" refer to the size of the moxa cone. The number of moxa cones used is predominantly odd numbers, usually ranging from 5 to 21. The main indications for fire moxibustion cover internal medicine, external medicine, gynecology, pediatrics, and various pain syndromes. The therapy advocates for treating acute conditions and heat syndromes with moxibustion. The manuscript also records detailed contraindications, including time-based and seasonal taboos. Moxibustion is applied to both local and distal acupoints, reflecting the therapeutic concept of treating both proximal and distal regions. Furthermore, it documents simple and practical acupoint localization methods such as surface anatomical markers, proportional bone measurement, finger measurement, and hand-span measurement. Compared with contemporaneous Chinese medical moxibustion techniques, the moxibustion methods recorded in this Fragment are rich in content and present unique Tibetan theoretical characteristics. It provides valuable data and evidence for the excavation, application, and further research of Tibetan acupuncture and moxibustion.
Moxibustion/instrumentation* ; Humans ; History, Ancient ; Medicine, Tibetan Traditional/history* ; Tibet ; Acupuncture Points

BACKGROUND: Periodontitis is characterized by alveolar bone resorption, aggravated by osteoblast dysfunction, and associated with intracellular oxidative stress linked to the nuclear factor erythroid 2-related factor 2 (NRF2) level. We evaluated the molecular mechanism of periodontitis onset and development and the role of NRF2 in osteogenic differentiation. METHODS: Primary murine mandibular osteoblasts were extracted and exposed to Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) or other stimuli. Reactive oxygen species (ROS) and 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethylbenzimidazolylcarbocyanine iodide (JC-1) staining were used to detect intracellular oxidative stress. Alkaline phosphatase staining and alizarin red S staining were used to detect the osteogenic differentiation of osteoblasts. Immunofluorescence and western blotting were used to determine the changes in the mitogen-activated protein kinase (MAPK) pathway and related molecule activities. Immunofluorescence colocalization and co-immunoprecipitation were performed to examine the nuclear translocation of NRF2 and its interaction with dual-specific phosphatase 1 (DUSP1) in cells. RESULTS: Ligated tissue samples showed higher alveolar bone resorption rate and lower NRF2 level than healthy periodontal tissue samples. Pg-LPS increased intracellular oxidative stress levels and inhibited osteogenic differentiation, whereas changes in NRF2 expression were correlated with changes in the oxidative stress and osteogenesis rate. NRF2 promoted the dephosphorylation of the MAPK pathway by nuclear translocation and the upregulation of DUSP1 expression, thus enhancing the osteogenic differentiation capacity of mandibular osteoblasts. The interaction between NRF2 and DUSP1 was observed. CONCLUSIONS: NRF2 and its nuclear translocation can regulate the osteogenic differentiation of mandibular osteoblasts under Pg-LPS conditions by interacting with DUSP1 in a process linked to the MAPK pathway. These findings form the basis of periodontitis treatment.
Animals ; NF-E2-Related Factor 2/physiology* ; Lipopolysaccharides/pharmacology* ; Osteoblasts/drug effects* ; Mice ; Porphyromonas gingivalis/chemistry* ; Cell Differentiation ; Osteogenesis ; Dual Specificity Phosphatase 1/metabolism* ; Mandible/cytology* ; Reactive Oxygen Species/metabolism* ; Oxidative Stress ; Periodontitis/metabolism* ; Cells, Cultured ; Male ; Cell Nucleus/metabolism*

Sustained inflammatory responses are closely related to various severe diseases, and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment. Natural products have garnered considerable concern for the treatment of inflammation. Huanglian-Wumei decoction (HLWMD) is a classic prescription used for treating inflammatory diseases, but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated. Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory, we successfully obtained berberine (BBR)-chlorogenic acid (CGA) supramolecular (BCS), which is an herbal pair from HLWMD. Using a series of characterization methods, we confirmed the self-assembly mechanism of BCS. BBR and CGA were self-assembled and stacked into amphiphilic spherical supramolecules in a 2:1 molar ratio, driven by electrostatic interactions, hydrophobic interactions, and π-π stacking; the hydrophilic fragments of CGA were outside, and the hydrophobic fragments of BBR were inside. This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules. Compared with free molecules, BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide (LPS)-induced pyroptosis. Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB (NF-κB) p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

The theory of"eyes as the convergence of various meridians"recorded in the Ling Shu Kouwen chapter is the theoretical basis for acupuncture treatment of eye diseases.This article explained the theoretical connotation of"eyes as the convergence of various meridians"from this perspective:eyes rely on the circulation of the twelve meridians and the nourishment of qi and blood to maintain the divine radiance;the penetrating operation of the twelve meridians enhances the close connection between the eyes,the brain,and various related organs.Based on the above theoretical basis,the basic pathogenesis of amblyopia patients with"lack of dependence on qi and unclear visual perception"was summarized.The treatment principle is"regulating qi and meridians,improving vision",and the application of the regulating qi and improving vision acupoint formula has shown good efficacy.The article also expounded the acupoint selection rules and basis from the perspective of meridian syndrome differentiation,in order to provide reference for the selection and compatibility of acupoints for amblyopia.

Objective:To explore the prognostic value of monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) in assessing patients with heart failure with reduced ejection fraction (HFrEF).Methods:Patients with HFrEF (LVEF<40%) admitted to the TEDA International Cardiovascular Disease Hospital between 2 January 2019 and 15 January 2023 were selected. The MHR levels were recorded at admission in patients with HFrEF who were followed up regularly for 12 months. The major adverse cardiovascular events (cardiac death and readmission for heart failure) were defined as poor prognosis. Multivariate Cox regression was used to analyze factors associated with poor prognosis. The receiver operator characteristic (ROC) curves were used to assess the diagnostic value of MHR for poor prognosis. The DeLong test was used to analyze whether there was a difference in the effectiveness of MHR and BNP for detecting poor prognosis. The critical value grouping for poor prognosis was evaluated by MHR, and survival analyses were performed using Kaplan-Meier.Results:A total of 286 subjects were enrolled in the study, including 206 males and 80 females, with a median age ( Q1, Q3) of 67 (58, 74) years. Multivariate Cox regression showed that MHR ( HR=1.482, 95% CI:1.015-2.164) and BNP ( HR=1.001, 95% CI:1.000-1.001) were associated with poor prognosis in patients with HFrEF. The area under the ROC curve for the adjunctive diagnostic value of MHR, BNP and the combination of both for poor prognosis in patients with HFrEF was 0.709, 0.738 and 0.769, respectively. The critical values were 0.486, 1 090 pg/ml and 0.41, respectively. The DeLong test showed no differences in the validity of MHR, BNP and their combination for detecting poor prognosis. Kaplan Meier survival analysis of 12-month follow-up showed that the time for poor prognosis in HFrEF patients with MHR>0.486 group (8.645 months) was significantly shorter than that in MHR≤0.486 group (10.296 months, P<0.001), and the risk of poor prognosis in MHR>0.486 group was 2.843 times higher than that in MHR≤0.486 group ( HR=2.843, 95% CI:1.867-4.327). Conclusion:MHR can be an indicator of poor prognosis in patients with HFrEF.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Objective To investigate the spatiotemporal expression pattern of metabotropic glutamate receptor 4(mGluR4)in the mouse cochlear basilar membrane and its dynamic changes during postnatal development until hair cell synaptic maturation.Methods Ten healthy 3-month-old C57BL/6L wild-type mice(5 males,5 females,25～35 g)were bred to obtain offspring.Cochlear samples from postnatal days 1～30(P1～P30)were analyzed.Frequency-specific auditory brainstem response(ABR)thresholds were measured at 45.2,32.0,22.6,16.0,11.3,8.0,5.6,and 4.0 kHz in P12,P14,P16,P21,and P30 mice.Immunofluorescence assay combined with confocal laser scanning microscopy was used to scan cochlear whole-mount preparations.Spatiotemporal co-localization profiling of mGluR4 and synaptic markers Ctbp2 and Snap25 was observed,and quantitative comparisons of fluorescent puncta density were performed.Results ABR testing revealed undifferentiated waveforms in all P12 mice,while 70%of P14 mice exhibited well-defined Wave I.In P14,P16,P21 and P30,mice undergoing ABR testing,50%failed to exhibit ABR waveforms when stimulated by 45.2 kHz tones,and 87.5%showed no response to 32.0 kHz stimuli.Auditory response thresholds for other frequencies progressively decreased with increasing postnatal age.Immunolocalization demonstrated stronger mGluR4 expression in inner hair cells(IHCs)versus outer hair cells(OHCs).Distinct mGluR4 puncta were observed at IHC presynaptic active zones(co-localized with Snap25)as early as P11,but showed minimal overlap with CtBP2-labeled ribbons.Quantitative analysis revealed significantly higher mGluR4 puncta density at P30 compared to P14 synapses(P<0.05).Conclusion Postnatal upregulation of mGluR4 at IHC synaptic regions correlates with functional maturation.These findings suggest mGluR4 may modulate vesicular exocytosis regulation and exert pharmacological inhibition on glutamate release,potentially influencing synaptic plasticity during auditory pathway refinement.

Objective:To analyze the molecular mechanism of Huangqin Decoction in the treatment of acute lung injury (ALI) with network pharmacology; To conduct experimental validation.Methods:Active compounds and corresponding targets of Huangqin Decoction were retrieved from the TCMIP database. ALI-related targets were obtained from GeneCards, DisGeNet, TTD, and OMIM, and the intersection targets were obtained. The intersection targets were imported into the string database to build the PPI network, and the core targets were obtained through topology analysis by Cytoscape 3.10.1 software. GO and KEGG pathway enrichment analyses were conducted using clusterProfiler software. 16 SD rats were divided into two groups ( n = 8 per group) with random number table method: control and Huangqin Decoction. Rats in the Huangqin Decoction group received Huangqin Decoction by gavage at a dosage of 40 mg/kg, while the control group was administered an equal volume of distilled water. After seven consecutive treatments, drug-containing serum was collected. A549 cells were divided into four groups: control, model, Huangqin Decoction, and received relevant drugs as intervention for 24 h. Levels of SOD, MDA, GSH-Px, IL-1β, TNF-α, and IL-6 in the culture supernatant were measured by ELISA. Apoptosis was analyzed by flow cytometry. The expressions of PI3K, p-PI3K, Akt, p-Akt, mTOR, p-mTOR, LC3Ⅱ/Ⅰ, and Beclin-1 proteins were determined by Western blot. Results:A total of 137 active compounds and 178 common targets were identified in Huangqin Decoction, with TP53, AKT1, STAT3, TNF, IL6, and ESR1 as core nodes. GO enrichment indicated involvement in oxidative stress and responses to lipopolysaccharides, bacterial molecules, and hypoxia. KEGG analysis revealed enrichment in lipid and atherosclerosis, PI3K-Akt signaling pathway, hepatitis, MAPK signaling pathway, prostate cancer, small-cell lung cancer, and mTOR signaling pathway. In cell experiments, compared with the model group, Huangqin Decoction and inhibitor groups showed increased A549xibo ( P<0.05); levels of IL-1β, TNF-α, IL-6, and MDA in the supernatant were reduced ( P<0.05 or P<0.01), while SOD and GSH-Px levels were elevated ( P<0.05 or P<0.01); the apoptosis rate decreased ( P<0.05 or P<0.01); the expressions of LC3-Ⅱ/Ⅰ and Beclin-1 proteins decreased ( P<0.05 or P<0.01), whereas the expressions of p-mTOR/mTOR, p-Akt/Akt, and p-PI3K/PI3K increased ( P<0.05 or P<0.01). Conclusion:Huangqin Decoction exerts protective effects against ALI mainly by reducing cellular autophagy, and its mechanism may be related to the activation of the mTOR/Akt/PI3K signaling pathway.

Objective To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder(BD)based on electronic medical records of patients,and to develop an interpretable risk prediction model that supports the identification of high-risk individuals and that facilitates decision-making for providing clinical intervention in a timely manner.Methods A total of 2 352 patients diagnosed with BD and admitted to West China Hospital,Sichuan University were enrolled using the electronic medical records system of the hospital.The participants were divided into two subgroups,the bipolar disorder depression(BDD)group and the bipolar disorder mania(BDM)group.The logistic regression algorithm was used to train and validate the prediction model,and interpretability methods were used to analyze the contribution of each feature to individuals and the effect of the features on specific target prediction decisions.Results The logistic regression model demonstrated robust predictive performance across the BD,BDD,and BDM cohorts,with areas under the curve(AUC)of the receiver operating characteristic curves always exceeding 81.6%.The core predictive features included platelet distribution width(PDW),fibrinogen(FIB),platelet large cell ratio(P-LCR),activated partial thromboplastin time(APTT),prothrombin time(PT),and triglyceride(TG).The logistic regression model exhibited strong interpretability and was combined with nomograms for intuitive risk quantification and individualized prediction.Conclusion The logistic regression model enables rapid and simple screening of BD patients with psychotic symptoms.Distinct patterns of changes observed in blood biomarkers of BDD and BDM subgroups enrich the understanding of the underlying pathophysiological mechanisms and highlight the importance of considering subtypes in the intervention and management of patients.