Parkinson's disease （PD） is a neurodegenerative disorder primarily characterized by motor dysfunction. Traditionally， its main clinical features include resting tremor， muscular rigidity， bradykinesia， and postural balance disorders. However， an increasing number of studies have shown that its non-motor symptoms （NMS） exert an even greater impact on patients' quality of life than motor symptoms， severely affecting daily functioning and increasing the burden on families and society. Among these， depression is one of the most common and most debilitating NMS， with statistics indicating that the incidence of depression among PD patients reaches as high as 40%-50%. The pathological mechanisms are complex， involving the interplay between degenerative changes in dopaminergic neurons and disruptions in emotional regulatory circuits， which poses a substantial challenge to clinical treatment. Traditional Chinese medicine （TCM）， characterized by holistic regulation and multi-target intervention， has demonstrated significant advantages in the treatment of PD and depression， offering new insights for managing PD-depression comorbidity. This study integrates research extracted from multiple databases， including PubMed， Web of Science， Google Scholar， and China National Knowledge Infrastructure （CNKI）， that investigates the potential mechanisms of PD and depression as well as TCM-based treatments for these conditions. The aim is to elucidate the shared pathological mechanisms underlying PD and depression and to explore the therapeutic potential of TCM in effectively combating PD-depression comorbidity through these shared mechanisms， thereby providing valuable insights for the development of targeted therapies.

According to the theory of "toxin accumulation damaging yin"， the accumulation of pathological products and the disruption of homeostasis in the pre-metastatic niche （PMN） of malignant tumors correspond to "toxin accumulation" and "yin damage" respectively. During the dynamic evolution of PMN， the main pathogenesis in the initial stage is healthy qi deficiency and phlegm congestion， obstruction in the ying （营） and wei （卫） level， for which the therapeutic approach is fortifying spleen and warming yang， reinforcing healthy qi， consolidating the root， and assissting in resolving phlegm. In the progression stage， the predominant mechanism is mutual binding of phlegm and stasis， with collateral damage and pathological transformation. Treatment should focus on resolving phlegm and eliminating stasis， using insect-derived medicinals to attack accumulation and block pathological transmission. In the terminal stage， the main pathogenesis involves phlegm-stasis transforming into fire， with depletion of qi and yin， for which it is suggested to replenish qi and nourish yin， combine clearing and tonifying methods to control fire-toxin. After the PMN has formed， pathogenic toxin may flow along the collaterals， tending to lodge in corresponding viscera with functional imbalance and deviation between deficiency and excess， eventually giving rise to malignant tumors. Understanding the pathogenesis of the PMN in the malignant tumors based on the "toxin accumulation damaging yin" theory may provide a valuable perspective for developing traditional Chinese medicine strategies for the prevention and treatment of tumor metastasis.

ObjectiveThis study aims to explore the neurotoxicity mechanism of Dictamni Cortex by integrating network toxicology and metabolomics techniques. MethodsThe neurotoxicity targets induced by Dictamni Cortex were screened by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Traditional Chinese Medicine Information Database （TCM-ID）， and Comparative Toxicogenomics Database （CTD）. The target predictions of the components were performed by the Swiss Target Prediction tool. Neurotoxicity-related targets were collected from the Pharmacophore Mapping and Potential Target Identification Platform （PharmMapper）， GeneCards Human Gene Database （GeneCards）， DisGeNET Disease Gene Network （DisGeNET）， and Online Mendelian Inheritance in Man （OMIM）， and the intersection targets were identified. Protein-protein interaction （PPI） analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis， and Gene Ontology （GO） enrichment analysis were conducted. A "drug-compound-toxicity target-pathway" network was constructed via Cytoscape software to display the core regulatory network. Based on the prediction results， the neurotoxicity mechanism of Dictamni Cortex in mice was verified by using hematoxylin-eosin （HE） staining， Nissl staining， enzyme-linked immunosorbent assay （ELISA）， quantitative real-time fluorescence polymerase chain reaction （Real-time PCR）， and Western blot. The effects of Dictamni Cortex on the metabolic profile of mouse brain tissue were further explored by non-targeted metabolomics. ResultsNetwork toxicology screening identified 13 compounds and 175 targets in Dictamni Cortex that were related to neurotoxicity. PPI network analysis revealed that serine/threonine-protein kinase （Akt1） and tumor protein 53 （TP53） were the core targets. Additionally， GO/KEGG enrichment analysis indicated that Dictamni Cortex may regulate the phosphatidylinositol 3-kinase （PI3K）/Akt pathway and affect oxidative stress and cell apoptosis， thereby inducing neural damage. The "Dictamni Cortex-compound-toxicity target-pathway-neural damage" network showed that dictamnine， phellodendrine， and fraxinellone may be the toxic compounds. Animal experiments showed that compared with those in the blank group， the hippocampal neurons in the brain tissue of mice treated with Dictamni Cortex were damaged. The level of superoxide dismutase （SOD） and acetylcholine （ACh） in the brain tissue was significantly reduced， while the content of malondialdehyde （MDA） was significantly increased. The level of Akt1 and p-Akt1 mRNAs and proteins in the brain tissue was significantly decreased， while the level of TP53 was significantly increased. Non-targeted metabolomics results showed that Dictamni Cortex could disrupt the level of 40 metabolites in mouse brain tissue， thereby regulating the homeostasis of 13 metabolism pathways， including phenylalanine， glycerophospholipid， and retinol. Combined analysis revealed that Akt1， p-Akt1， and TP53 were significantly correlated with phenylalanine， glycerophospholipid， and retinol metabolites. This suggested that Dictamni Cortex induced neurotoxicity in mice by regulating Akt1， p-Akt1， and TP53 and further modulating the phenylalanine， glycerophospholipid， and retinol metabolism pathways. ConclusionDictamni Cortex can induce neurotoxicity in mice， and its potential mechanism may be closely related to the activation of oxidative stress， inhibition of the PI3K/Akt signaling pathway， and regulation of phenylalanine， glycerophospholipid， and retinol metabolism pathways.

ObjectiveThis study aims to investigate the effect of Dictamni Cortex on intestinal barrier damage in rats and its mechanism by untargeted metabolomics and targeted metabolomics for short-chain fatty acids （SCFAs）. MethodsRats were randomly divided into a control group， a high-dose group of Dictamni Cortex （8.1 g·kg^-1）， a medium-dose group （2.7 g·kg^-1）， and a low-dose group （0.9 g·kg^-1）. Except for the control group， the other groups were administered different doses of Dictamni Cortex by gavage for eight consecutive weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in the ileal tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect the level of cytokines， including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）， in the ileal tissue of rats. Quantitative real-time fluorescence polymerase chain reaction （Real-time PCR） technology was used to detect the expression level of tight junction proteins， including zonula occludens-1 （ZO-1）， Occludin， and Claudin-1 mRNAs， in the ileal tissue of rats to preliminarily explore the effects of Dictamni Cortex on intestinal damage. The dose with the most significant toxic phenotype was selected to further reveal the effects of Dictamni Cortex on the metabolic profile of ileal tissue in rats by non-targeted metabolomics combined with targeted metabolomics for SCFAs. ResultsCompared with the control group， all doses of Dictamni Cortex induced varying degrees of pathological damage in the ileum， increased TNF-α （P<0.01）， IL-6 （P<0.01）， and IL-1β （P<0.01） levels in the ileal tissue， and decreased the expression level of ZO-1 （P<0.05， P<0.01）， Occludin （P<0.01）， and Claudin-1 （P<0.05） in the ileal tissue， with the high-dose group showing the most significant toxic phenotypes. The damage mechanisms of the high-dose group of Dictamni Cortex on the ileal tissue were further explored by integrating non-targeted metabolomics and targeted metabolomics for SCFAs. The non-targeted metabolomics results showed that 21 differential metabolites were identified in the control group and the high-dose group. Compared with that in the control group， after Dictamni Cortex intervention， the level of 14 metabolites was significantly increased （P<0.05， P<0.01）， and the level of seven metabolites was significantly decreased （P<0.05， P<0.01） in the ileal contents. These metabolites collectively acted on 10 related metabolic pathways， including glycerophospholipids and primary bile acid biosynthesis. The quantitative data of targeted metabolomics for SCFAs showed that Dictamni Cortex intervention disrupted the level of propionic acid， butyric acid， acetic acid， caproic acid， isobutyric acid， isovaleric acid， valeric acid， and isocaproic acid in the ileal contents of rats. Compared with those in the control group， the level of isobutyric acid， isovaleric acid， and valeric acid were significantly increased， while the level of propionic acid， butyric acid， and acetic acid were significantly decreased in the ileal contents of rats after Dictamni Cortex intervention （P<0.05， P<0.01）. ConclusionDictamni Cortex can induce intestinal damage by regulating glycerophospholipid metabolism， primary bile acid biosynthesis， and metabolic pathways for SCFAs.

Objective:To investigate the impact of high-density lipoprotein (HDL) subfraction cholesterol, measured by the vertical auto profile (VAP) technique based on vertical density gradient ultracentrifugation, on the occurrence and progression of coronary heart disease.Methods:This retrospective case-control study consecutively enrolled 94 inpatients diagnosed with coronary artery disease (CAD) by percutaneous coronary angiography at Ningbo University Affiliated First Hospital between June 2023 and June 2024 (CAD group), and 48 outpatients from the cardiology department without carotid or coronary atherosclerosis(non-CAD group). The VAP technique was employed to measure HDL subfraction cholesterol levels (HDL 3-C and HDL 2-C) and their subtypes (HDL 2a-C, HDL 2b-C, HDL 2c-C; HDL 3a-C, HDL 3b-C, HDL 3c-C, HDL 3d-C). Logistic regression analysis was performed to assess the association between HDL subfraction composition and CAD. CAD patients were further stratified by the number of affected coronary vessels (left anterior descending artery, left circumflex artery, and right coronary artery): 44 with single-vessel disease, 22 with double-vessel disease, and 28 with triple-vessel disease for correlation analysis. All CAD patients underwent 6-month clinical and telephone follow-up to record major adverse cardiovascular events (MACE), including acute myocardial infarction, stroke, and repeat revascularization. Using the median HDL 3d-C level (0.064 mmol/L) as cutoff, CAD patients were divided into high-level ( n=48) and low-level ( n=46) subgroups for Kaplan-Meier survival analysis with log-rank testing. Results:Compared with non-CAD controls, CAD patients showed significantly higher HDL 3d-C [0.064 (0.041, 0.095) mmol/L vs 0.055 (0.038, 0.067) mmol/L] and HDL 3b-C [0.031 (0.001, 0.054) mmol/L vs 0.007 (0.004, 0.029) mmol/L], lower HDL 3c-C (0.220±0.080 mmol/L vs 0.254±0.062 mmol/L) and HDL 3a-C [0.282 (0.224, 0.351) mmol/L vs 0.334 (0.269, 0.433) mmol/L] (all P<0.05). Logistic regression revealed that HDL2b-C was a protective factor against atherosclerosis severity ( OR=0.914, 95% CI 0.896-0.987, P<0.001); HDL 3d-C served as both a CAD risk factor ( OR=2.303,95% CI 1.740-3.047, P<0.001) and disease progression indicator ( OR=1.224, 95% CI 1.123-1.335, P=0.025). MACE patients ( n=6) had elevated HDL3d-C versus non-MACE cases ( n=88) [0.120 (0.083, 0.173) mmol/L vs 0.061 (0.037, 0.092) mmol/L, P<0.05]. The high HDL 3d-C subgroup demonstrated significantly lower 6-month survival (χ2=4.777, P=0.029). Conclusion:Contrary to conventional understanding, our study reveals that HDL2b serves as a protective factor against coronary artery disease progression, whereas HDL 3d-C acts not only as a pathogenic factor for CAD but also as a critical determinant of CAD-related adverse events.

Objective:To retrospectively analyze the pathogenic factors of retrograde peri-implantitis (RPI) and assess the effectiveness of treatment, and to provide clinicians evidence for the prevention and treatment of RPI.Methods:A total of 2 731 patients with missing teeth (4 016 implants) who underwent implant restoration in the Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University between January 2004 and December 2022 were included in the study. According to the diagnostic criteria of RPI, a total of 20 cases (23 implants) of RPI were collected, including 4 female (5 implants) and 16 male (18 implants), and the treatment medical records, intraoral photos and cone beam CT or oral panoramic radiographs records of each patient were collected. Each patient with RPI was treated accordingly and followed up regularly to evaluate its efficacy.Results:After treatment, the follow-up time for 20 patients with clinical symptoms of RPI was 13 (6, 40) months (1 month to 13 years), and the survival rate of the treated implants was 91% (21/23). There were 7 patients (8 implants) with inactive RPI, no clinical symptoms, no loosening of the implant, with normal occlusal load, and the disease was at the inactive stage and was not treated. The pulp vitality of the natural tooth adjacent to the implant was normal, and the implant could function normally. There were 13 patients (15 implants) with infected RPI, 1 patient (1 implant) had no loosening of the implant, and the periapical radiolucency of the implant disappeared after endodontic treatment of the natural tooth adjacent to the implant; 12 patients (14 implants) had clinical symptoms such as implant loosening, pus discharge, etc. Among them, 10 patients (12 implants) were successfully implanted in situ or in adjacent sites after removing the implants, and were successfully implanted after 3 to 20 months. Two patients(2 implants) were removed and no further implants were placed. Among them, 2 implants with infected RPI had cystic lesions, which was similar to natural root apex cysts.Conclusions:The etiology of RPI is related to inflammation of adjacent tooth root tips or bacterial residues from inflammatory lesions in the alveolar bone and bone augmentation. RPI can be treated by perfect root canal treatment of adjacent teeth, removal of inflammatory tissue, or simultaneous guided bone regeneration techniques.

Dyslipidemia refers to the increased level of TG and total cholesterol in plasma, and also generally refers to other forms of dyslipidemia, which is characterized by non-obvious symptoms in the early stage of the disease, and the first episode is cardiovascular disease. The prevalence of dyslipidemia varies with country, region and population, and the prevalence of dyslipidemia in China is in increase, which is influenced by various risk factors. This paper summarizes the prevalence and risk factors of dyslipidemia and introduces the emerging risk factors of dyslipidemia, such as HIV infection, systemic lupus erythematosus, sarcopenia and environmental problem.

Objective:To investigate the effect of nuclide distribution with time from the in vivo metabolism based on measurement of radioactive contamination using lung counting method. Methods:The distribution of nuclides in the body with time was calculated on a basis of a single inhalation of aerosols containing 235U and the International Commission of Radiological Protection(ICRP) nuclide metabolism compartment model. A passive efficiency calibration of the lung counter, was performed using the simulation and calculation software Geant4 to obtain the contribution of the tissue or organs of interest to the lung counter, and to investigate the effect of the nuclide distribution on the lung counting method. Results:The time elapsed after inhalation of radionuclides, as well as their physicochemical state, has the effect on their distribution in the body and on the detection efficiency of the lung counter. Radionuclides with smaller particulate sizes have a higher initial retention in the lungs, and those with an activity median aerodynamic diameter (ADAM) of 1 μm contributed more fraction to the lung counter than those with an ADAM of 5 μm. F-type compounds were metabolized more rapidly by the respiratory system, and after 8 h of ingestion, nuclides were distributed in the lungs. F-type compounds were metabolized in the respiratory system at a relatively fast rate, and 8 h after inhalation, the fraction of nuclides retained in the lung contributed no more than 30% to the lung counter. Within 3 d after ingestion of M-type and S-type compounds, radioactive particulats largely deposites in the nasopharyngeal region. With biological metabolization and clearance, the fraction contributed by lung to counter is in rising, and the fraction to the lung counter typically remained larger than 80% after 3 d.Conclusions:Radionuclide metabolization in the body varies with their physicochemical properties and measurement time and site. For estimating internal contamination, consideration should be given to the distribution of nuclides, in order to avoid the overestimation.

Electrical impedance tomography (EIT) is a new non-invasive functional imaging technology, which has the advantages of non-invasion, non-radiation, low cost, fast response, portability and visualization. In recent years, more and more studies have shown that EIT has great potential in the detection of lung diseases and has been applied to early diagnosis and treatment of some diseases. This paper introduced the basic principle of EIT, discussed the research and clinical application of EIT in the detection of acute respiratory distress syndrome, chronic obstructive pulmonary disease, pneumothorax and pulmonary embolism, and focused on the summary and introduction of indicators and functional images of EIT related to the detection of lung diseases. This review will help medical workers understand and use EIT, and promote the further development of EIT in lung diseases as well as other fields.
Humans ; Electric Impedance ; Tomography/methods* ; Lung Diseases/diagnosis* ; Pulmonary Disease, Chronic Obstructive/diagnosis* ; Pulmonary Embolism/diagnosis* ; Respiratory Distress Syndrome/diagnosis*

Mitochondrial dysfunction is a critical factor in the pathogenesis of Alzheimer's disease (AD). The mitochondrial contact site and cristae organizing system (MICOS) plays a pivotal role in shaping the inner mitochondrial membrane, forming cristae junctions and establishing interaction sites between the inner and outer mitochondrial membranes and thereby serving as a cornerstone of mitochondrial structure and function. In the past decade, MICOS abnormalities have been extensively linked to AD pathogenesis. In particular, dysregulated expression of MICOS subunits and mutations in MICOS-related genes have been identified in AD, often in association with hallmark pathological features such as amyloid-β plaque accumulation, neurofibrillary tangle formation, and neuronal apoptosis. Furthermore, MICOS subunits interact with several etiologically relevant proteins, significantly influencing AD progression. The intricate crosstalk between these proteins and MICOS subunits underscores the relevance of MICOS dysfunction in AD. Therapeutic strategies targeting MICOS subunits or their interacting proteins may offer novel approaches for AD treatment. In the present review, we introduce current understanding of MICOS structures and functions, highlight MICOS pathogenesis in AD, and summarize the available MICOS-targeting drugs potentially useful for AD.