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.

[Objective] To compare the efficacy and safety of deglycerolized red blood cells (DRBC) and suspended red blood cells (SRBC) based on the propensity score matching (PSM) method, so as to provide evidence for the rational use of DRBC resources in clinical practice. [Methods] A total of 89 patients who received DRBC transfusion and 2 916 patients who received SRBC transfusion in our hospital from January 2023 to September 2024 were included. A 1∶1 nearest neighbor PSM was used to balance covariates such as gender, age, and body mass index (BMI). The changes of hemoglobin (Hb), red blood cell (RBC) count, hematocrit (HCT), and inflammatory markers such as white blood cell (WBC) count, neutrophil (NE) count, C-reactive protein (CRP), and Interleukin-6(IL-6) in the last 72 hours after transfusion were analyzed by SPSS 26.0 and R software to evaluate clinical efficacy and transfusion safety. [Results] The baseline of the two groups was balanced after PSM (P>0.05). There was no significant difference in the total effective rate between the DRBC group (80.9%) and the SRBC group (86.5%) (P>0.05). In the SRBC group, WBC (×10 /L) increased from 9.634±6.742 to 10.147±6.835, CRP (mg/dL) increased from 5.468±4.647 to 6.174±6.114, and IL-6(pg/mL) decreased from 213.733±587.191 to 157.255±552.626. In the DRBC group, WBC (×10 /L) decreased from 11.123±7.880 to 11.011±8.549, CRP (mg/dL) decreased from 5.729±4.761 to 5.326±4.466, and IL-6(pg/mL) decreased from 238.806±639.060 to 152.255±266.558. Compared with the before treatment, the differences between the SRBC group and DRBC group were not statistically significant (P>0.05). Among all patients included in the statistics, the overall incidence of transfusion adverse reactions was 0.205% (6/2 916) in the SRBC group, and no adverse reactions occurred in the DRBC group. The incidence in the SRBC group was higher than that in the DRBC group. [Conclusion] Based on PSM analysis, there was no significant difference in the efficacy and safety of DRBC transfusion compared with SRBC transfusion, which can provide evidence-based support for routine application.

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*

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 construct a dynamic framework for bidirectional transitions of mild cognitive impairment(MCI),quantifying both rare reversion and high-risk progression trajectories in cognitive dynamics.Methods Patients diagnosed with MCI at baseline from 2005 to 2022 and completed at least two follow-up visits were selected from the Alzheimer's Disease Neuroimaging Initiative(ADNI),and a retrospective cohort was constructed.Demographic information,APOEε4 genotype,and neuropsychological scales data were collected.Longitudinal cognitive assessments were functionally reconstructed using multivariate functional principal component analysis(MFPCA),with functional principal components(FPCs)extracted based on cumulative variance contribution rate(PVE＞90％).Functional multi-state Markov models were developed to estimate inter-state transition intensities,year to year transition probabilities,and covariate effects.Results Among 1,019 MCI patients(4,657 follow-up visits),93(9.1％)reverted to normal cognition,while 359(35.2％)progressed to Alzheimer's disease(AD).Longitudinal trajectory analysis revealed significant heterogeneity:progressive MCI＞stable MCI＞reverted MCI in the first functional principal component(MFPC1)scores.The transition intensity for MCI reversion(0.020)was approximately one-fourth of the AD progression risk(0.086),but the post-reversion cognitive re-impairment intensity was 0.138.Reduced MFPC1(HR=0.993,95％Cl:0.991,0.995)and elevated MFPC2(HR=1.004,95％Cl:1.001,1.007)were closely associated with MCI reversion.Conclusion MCI exhibits marked heterogeneity in longitudinal cognitive trajectories.Although reversion is rare,reversed patients remain at high risk of cognitive re-impairment.

Objective To investigate the factors affecting the achievement of the textbook outcome for liver surgery(TOLS)in patients undergoing laparoscopic liver resection for hepatic lesions.Methods A retrospective cohort study was conducted to collect data from patients who underwent laparoscopic partial liver resection at the hospital between January 2021 and January 2024,followed by comprehensive statistical analysis.Results Among 211 patients with liver lesions,170(80.6%)successfully achieved TOLS postoperatively.The achievement of TOLS in patients undergoing laparoscopic liver resection was significantly associated with the proportion of hepatitis B carriers,body mass index(BMI),total bilirubin levels,aspartate aminotransferase(AST),platelet count,intraoperative blood loss,whether blood transfusion was administered during surgery,operation duration,lesion characteristics,and extent of liver resection(P<0.05).Notably,total bilirubin levels,American Society of Anes-thesiologists(ASA)score,intraoperative blood transfusion,intraoperative blood loss,and extent of liver resection were identified as independent factors influencing the attainment of TOLS(P<0.05).Conclusions Serum total bilirubin levels,intraoperative blood transfusion requirements,intraoperative blood loss volume,and the extent of liver resection independently influence the achievement of TOLS.This study introduces a novel method for evaluat-ing the short-term prognosis following laparoscopic liver resection.

Objective To investigate the effect of lifestyle on cognitive decline in rural people aged 40 years and older in Xi'an.Methods This was a prospective cohort study.People aged 40 years and older in two villages in Huyi District were selected as the study population.They completed the baseline survey from October 2014 to March 2015 as well as two follow-up visits in 2016 and 2018,respectively.A comprehensive score of lifestyle was calculated based on factors including smoking,drinking,exercise,and diet collected at the baseline.The Mini-Mental State Examination(MMSE)was used to evaluate global cognitive function at both baseline and follow-up;a≥4-point decrease in MMSE score from the baseline was defined as marked cognitive decline.Multivariable Logistic regression,propensity score correction,and propensity score matching were used to investigate the relationship between lifestyle and cognitive decline.Results A total of 1 348 participants were ultimately enrolled and 56(4.2％)of them met the criteria for marked cognitive decline(△MMSE≥4-points).Among them,386(28.6％)people had smoking history,184(13.6％)were drinkers,214(15.9％)lacked physical activity,and 400(29.7％)ate a diet high in oil and salt.Generally,304(22.6％)met the definition of the unhealthy lifestyle(comprehensive score＜6),which means more than one of the four subscales was unhealthy or more than two were relatively unhealthy.Multivariable Logistic regression analysis showed that unhealthy lifestyle was positively associated with marked cognitive decline(OR=2.838,95％CI:1.302-5.525,P=0.005).Propensity-score adjusted model yielded very similar results(OR=2.786,95％CI:1.371-5.661,P=0.005).Propensity score matching was performed to further balance the differences in covariates between the two groups.Multivariate Logistic regression analysis conducted in the matched population revealed that the risk of marked cognitive decline was still higher in those with unhealthy lifestyle(OR=3.994,95％CI:1.582-12.176,P=0.006).Conclusion Unhealthy lifestyle is associated with an increased risk of cognitive decline in cognitively normal people aged 40 years and older.