ObjectiveTo observe the effects of Dihuang Yinzi （DY） on motor dysfunction in rats with advanced Parkinson's disease （PD） and to investigate the mechanisms by which DY improves advanced PD symptoms through the "gut microbiota-short-chain fatty acids （SCFAs）-inflammation-neuroprotection pathway". MethodsAn advanced PD rat model was induced by rotenone. Rats were divided into a normal group， model group， positive drug group （levodopa， 50 mg·kg^-1）， and DY low-， medium-， and high-dose groups （5.2， 10.4， 20.8 g·kg^-1）. After 7 days of administration， motor function was evaluated using the open-field， pole-climbing， and inclined plate tests. Hematoxylin-eosin （HE） staining was used to observe pathological changes in the substantia nigra and colon， and immunohistochemistry was performed to detect α-Synuclein （α-Syn） and tyrosine hydroxylase （TH） expression in the substantia nigra. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of dopamine （DA）， 5-hydroxytryptamine （5-HT）， 3，4-dihydroxyphenylacetic acid （DOPAC）， Levodopa， homovanillic acid （HVA）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）. Western blot analysis was used to detect the expression of zonula occludens-1 （ZO-1） and occludin. Gut microbiota diversity was analyzed by 16S rRNA sequencing， and gas chromatography （GC） was used to determine the content of SCFAs in colonic contents. ResultsCompared with the normal group， the model group showed significantly decreased movement speed and distance in the open-field test， prolonged pole-climbing time， and reduced retention angle on the inclined plate （P<0.01）， accompanied by increased α-Syn expression （P<0.01） and decreased TH expression （P<0.01） in the brain. Compared with the model group， all DY dose groups improved motor dysfunction in advanced PD rats to varying degrees （P<0.05， P<0.01） and alleviated pathological damage in the brain and colon. High-dose DY significantly reduced α-Syn aggregation in the substantia nigra （P<0.01） and increased TH expression （P<0.01）. ELISA and Western blot results showed that， compared with the normal group， the model group exhibited decreased levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum （P<0.01）， increased levels of TNF-α， IL-6， and IL-1β in the colon and striatum （P<0.01）， and significantly reduced expression of ZO-1 （P<0.05） and occludin in the colon （P<0.01）. Compared with the model group， all DY dose groups increased the levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum to varying degrees （P<0.05， P<0.01）. In the high-dose DY group， the levels of TNF-α， IL-6， and IL-1β in the colon and striatum were reduced （P<0.01）， while the expression of ZO-1 （P<0.05） and occludin in the intestine was increased. The 16S rRNA sequencing results indicated that the relative abundances of Actinobacteriota， Enterobacteriaceae， and Erysipelotrichaceae were increased in the model group， whereas the relative abundances of Bacteroidota， class Clostridia， Lachnospiraceae， and Akkermansia muciniphila were decreased. These changes were effectively reversed after high-dose DY intervention. GC analysis showed that the content of SCFAs in the colonic contents of rats in the model group was decreased （P<0.05， P<0.01）， while after high-dose DY intervention， the levels of acetate， propionate， isobutyrate， and butyrate were significantly increased （P<0.05， P<0.01）. ConclusionDY may exert therapeutic effects in advanced PD by regulating the gut microbiota-SCFAs-inflammation pathway.

There are practical and cost-effective opportunities for the prevention and early intervention of periodontal disease, a common oral condition. Depression and anxiety represent major global mental health challenges, and they are characterized by high prevalence rates and an elevated suicide risk. Their clinical management is complicated by extended treatment timelines and substantial healthcare costs. Accumulating evidence demonstrates a statistically significant bidirectional association between periodontal disease and depression/anxiety disorders. However, established clinical pathways integrating these conditions remain lacking. This review presents a comprehensive analysis of current research examining the relationship between periodontal disease and mood disorders, specifically depression and anxiety. This study explored the bidirectional mechanisms within the microbiota-oral-brain axis, which includes both periodontal disease inducing neuroinflammation through pro-inflammatory factors, such as interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) activating the TLR-4/NF-κB signaling pathway, and depression and anxiety leading to “glucocorticoid resistance” through hypothalamic-pituitary-adrenal (HPA) axis dysregulation, thus causing dual immune dysfunction that exacerbates periodontal tissue destruction, as well as the mechanisms by which biological, psychological, and social factors contribute to the bidirectional association between periodontal disease and depression/anxiety. We propose implementing bidirectional referral protocols between dental and psychiatric services in clinical practice, incorporating mental health screening tools, such as Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7(GAD-7), for patients with moderate-to-severe periodontal disease, and incorporating periodontal examination into routine assessment during psychiatric services. This multidisciplinary approach aims to break the vicious circle between these conditions and provide clinicians with pragmatic intervention strategies.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.

Objective:To summarize the clinical and genetic features of neuroinflammation, autoinflammation, splenomegaly and anemia (NASA) syndrome and investigate the pathogenic mechanism.Methods:The clinical data of 2 patients diagnosed with NASA syndrome at Department of Pediatrics, Peking Union Medical College Hospital were retrospectively analyzed. Variants were identified by gene panel sequencing and confirmed by Sanger sequencing. The function of IRAK4 gene variants was studied in vitro.Results:Among the 2 patients, case 1 was an 8-year-old girl and case 2 was a 10-year-old boy. Both patients presented in early childhood with anemia and hepatosplenomegaly. Case 1 was also experienced recurrent seizures. Laboratory examinations showed elevated inflammatory markers and neuroimaging revealed bilateral basal ganglia calcification. In case 2, anemia and inflammation markers were well controlled after treatment with tocilizumab, while case 1 succumbed to recurrent seizures. Genetic tests verified compound heterozygous variants in IRAK4 gene: case 1 carries a nonsense variant c.592G>T (p.G198X) and a missense variant c.248A>C (p.D83A), which were respectively from the parents; case 2 carries a c.831+3A>G variant and a frameshift variant c.540delT (p.F180Lfs*26), and the former was inherited from the father and the latter from the mother. The reverse transcription and Sanger sequencing results confirmed that c.831+3A>G variant led to exon 7 skipping. In vitro studies indicated that c.592G>T, c.540delT and c.831+3A>G variants resulted in truncated interleukin-1 receptor-associated kinase-4 (IRAK4) protein while c.248A>C do not cause changes in IRAK4 protein expression level and protein length.Conclusions:NASA syndrome should be considered in children with early-onset anemia, hepatosplenomegaly, recurrent seizures, elevated inflammatory markers and intracranial calcification. IRAK4 gene variants may lead to impaired anti-inflammatory function of IRAK4 protein, contributing to the autoinflammatory phenotype.

Objective We apply a class imbalance treatment method that can solve the between-class imbalance problem and the within-class imbalance problem of the minority class and the majority class at the same time.And combining it with RF classifier to achieve early recurrence prediction in DLBLC patients,which provided a reference for the treatment of DLBLC patients.Methods Firstly,we apply a class imbalance processing method based on Gaussian mixture model bi-directional clustering resampling to process the data.And compared with ROS,SMOTE,Borderline-1 SMOTE,Borderline-2 SMOTE,GMM oversampling,GMM undersampling,SMOTE+RUS,SMOTE+GMM and GMM+RUS.Afterwards,in order to verify the performance of RF,we use logistic regression and decision tree models as controls.Finally,the evaluation of the model is carried out in terms of discrimination and calibration.Results The RF model with GMM-GMM resampling achieved relatively optimal classification performance(accuracy=0.79,AUC=0.87,sensitivity=0.71,specificity=0.87,G-means=0.79,MSE=0.21).Conclusion GMM-GMM is superior to other traditional resampling methods,and combining it with the RF model for the prediction of early recurrence in DLBCL patients has achieved relatively good classification results,which can well realize the prediction of early recurrence in DLBCL patients.

Objective To construct a 2-year relapse risk prediction model for 498 patients diagnosed with diffuse large B-cell lymphoma(DLBCL)who achieved complete response(CR)following treatment at the hematology department of a cancer hospital in Shanxi Province between 2011 and 2020,providing a reference for clinical management.Methods The least absolute shrinkage and selection operator(LASSO)feature selection algorithm,combined with clinical expertise,was first used to identify 21 significant variables influencing the 2-year relapse rate in DLBCL patients with CR.To address data imbalance,synthetic minority oversampling technique(SMOTE)and synthetic minority oversampling technique and edited nearest neighbor(SMOTE-ENN)were applied.Relapse predictions were conducted using seven classifiers on both the original and balanced datasets.The deep forest(DF)algorithm was then employed to build the relapse risk prediction model.Model performance was evaluated using accuracy,precision,sensiti vity/recall,specificity,F1-score,and G-means,while calibration was assessed using the Brier score.Results The deep forest algorithm,when combined with the SMOTE-ENN method for data imbalance,achieved the best performance(accuracy=0.932,precision=0.949,recall=0.944,specificity=0.910,F1-score=0.946,G-means=0.926,Brier score=0.068).Conclusion This study successfully combines the SMOTE-ENN technique with the deep forest classifier to predict 2-year relapse risk in DLBCL patients who achieved CR.The model demonstrates excellent performance and meets expectations.

Objective To explore the application value of intravoxel incoherent motion(IVIM)imaging parameters in the differential diagnosis of benign and malignant breast nodules and their correlation with the expression of Ki-67 receptor in breast cancer.Methods The data of 41 female patients who completed 3.0 T breast magnetic resonance imaging(MRI)with complete surgical pathology results in the Second Hospital of Jiaxing City from October 2022 to January 2025 were analysed and evaluated.Conventional images and diffusion-weighted images with 11 b values were collected.The IVIM imaging parameters of real diffusion coefficient(D),perfusion related diffusion coefficient(D*)and perfusion fraction(f)were measured and calculated in the region of interest of each lesion.The receiver operating characteristic curve were plotted to quantify the differential diagnostic efficacy of each parameter of IVIM imaging in benign and malignant breast nodules.The differences of parameters between benign and malignant breast nodules and between the groups with different expression levels of Ki-67 receptor in breast cancer were analysed,and the correlation between each parameter and the expression level of Ki-67 in breast cancer was counted.Results The D value of benign breast nodules group(benign groups)was significantly higher than that of malignant breast nodules group(malignant groups),and the D*value was significantly lower than that of malignant group,and the differences between benign group and malignant group were statistically significant(t=-4.773,t=2.063,P＜0.05);Thefvalue of benign group was slightly lower than that of malignant group,and the differences between two groups were not statistically significant(t=0.035,P＞0.05).Among the parameters of IVIM imaging,D value had the best differential diagnostic efficacy for benign and malignant breast nodules,with area under the curve(AUC)of 0.870(95％CI:0.755-0.985)and a specificity of 75.0％;D*value had the second best differential diagnostic efficacy after D value,with an AUC of 0.789(95％CI:0.658-0.920),but it had the highest sensitivity of 88.2％;And the differential diagnosis efficiency off value was the worst,much less than D and D*values.The D value in the high Ki-67 expression group of breast cancer was lower than that in the low expression group,while the D* and f values in the high expression group were higher than that in the low expression group,and the differences of each imaging parameter of IVIM were not statistically significant between two groups(t=-2.617,t=2.169,t=0.647,P＞0.05).There was a significant negative correlation between the expression of the Ki-67 receptor and the D value(r=-0.615,P＜0.05),and no significant correlation was seen with either D *or f value(r=0.223,r-0.031,P＞0.05).Conclusion The D and D*values of IVIM imaging parameters have great clinical value in the differential diagnosis of benign and malignant breast nodules.

The neonatal mammalian heart has a remarkable regenerative capacity, while the adult heart has difficulty to regenerate. A metabolic reprogramming from glycolysis to fatty acid oxidation occurs along with the loss of cardiomyocyte proliferative capacity shortly after birth. In this study, we sought to determine if and how metabolic reprogramming regulates cardiomyocyte proliferation. Reversing metabolic reprogramming by carnitine palmitoyltransferase 1 (CPT1) inhibition, using cardiac-specific Cpt1a and Cpt1b knockout mice promoted cardiomyocyte proliferation and improved cardiac function post-myocardial infarction. The inhibition of CPT1 is of pharmacological significance because those protective effects were replicated by etomoxir, a CPT1 inhibitor. CPT1 inhibition, by decreasing poly(ADP-ribose) polymerase 1 expression, reduced ADP-ribosylation of dual-specificity phosphatase 1 in cardiomyocytes, leading to decreased p38 MAPK phosphorylation, and stimulation of cardiomyocyte proliferation. Our present study indicates that reversing metabolic reprogramming is an effective strategy to stimulate adult cardiomyocyte proliferation. CPT1 is a potential therapeutic target for promoting heart regeneration and myocardial infarction treatment.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*