ObjectiveTo investigate the characteristics and distribution of traditional Chinese medicine （TCM） syndromes in the patients with esophageal squamous cell carcinoma （ESCC）. MethodsAn electronic questionnaire was developed to collect the general data and four examination information of ESCC patients treated in 10 areas with high incidence of esophageal cancer in China from June 2020 to March 2021. Multiple analyses including frequency analysis， factor analysis， and hierarchical cluster analysis were performed to analyze the potential syndrome elements， disease location， and common syndromes of ESCC. ResultsA total of 2 027 patients with ESCC were included. Statistical analysis was performed on 113 symptoms， physical signs， 33 tongue manifestation variables， and 23 pulse manifestation variables of the patients’ four examination information. Factor analysis was performed on 55 variables with frequency>10%， extracting 19 common factors. According to clinical experience and expert opinions， the main lesions of patients with ESCC were in the spleen and stomach， and the main syndrome elements were Qi stagnation， blood stasis， phlegm， dampness， and Qi deficiency， with the syndrome element combination of phlegm obstruction + Qi stagnation + blood stasis being the most common. The syndromes can be classified into four categories of liver-stomach disharmony + combined phlegm and Qi obstruction， kidney-spleen dysfunction + combined phlegm and stasis， spleen-kidney Yang deficiency + obstinate phlegm and blood stasis， and liver-kidney Yin deficiency + obstinate phlegm and blood stasis. The main syndrome of ESCC was liver-stomach disharmony + combined phlegm and Qi obstruction in the early stage， liver-spleen dysfunction + combined phlegm and stasis in the middle stage， and spleen-kidney Yang deficiency + obstinate phlegm and blood stasis in the late stage. ConclusionESCC mainly has main pathological features of internal deficiency and external excess and combined deficiency and excess， with the key syndrome elements being phlegm obstruction， Qi stagnation， and blood stasis. The main disease locations are in the spleen and stomach， involving the liver， kidney， chest and diaphragm， heart， and lung. The main syndrome is liver-stomach disharmony + combined phlegm and Qi obstruction. In clinical practice， it is necessary to grasp the pathogenesis dynamics of the disease and use prescriptions according to patients’ syndromes.

OBJECTIVE: To investigate the midterm clinical efficacy of medial patellofemoral complex (MPFC) reconstruction for recurrent patellar dislocation with high-grade trochlear dysplasia. METHODS: A retrospective analysis was carried out among adult patients who underwent arthroscopically assisted MPFC reconstruction between January 2014 and December 2020. Dejour classification was evaluated to grade trochlear dysplasia; tibial tubercle-trochlear groove (TT-TG) distance and Insall-Salvati index were measured. Preoperative and postoperative patient-reported outcome measures (PROMs) were compared, including International Knee Documentation Committee (IKDC) score, Kujala score, Lysholm score and Tegner score. Information regarding returning-to-sport rate, re-instability events and complications was collected. Patellar tilt (PT), lateral patellar displacement (LPD) and bisect offset (BSO) ratio were measured based on axial computed tomography before and after surgery to assess the patellofemoral congruence. RESULTS: A total of 46 MPFC reconstructions in 43 patients were enrolled, including 16 male and 27 female. Mean age at surgery was (22.2±7.6) years (range: 14-44 years). Mean follow-up was (49.9±22.6) months (range: 18-102 months). The percentages of Dejour B, C and D dysplasia were 37.0% (17/46), 43.5% (20/46), and 19.6% (9/46), respectively. Mean Insall-Salvati index was 1.2±0.2 (range: 0.85-1.44), and mean TT-TG distance was (19.6±3.5) mm (range: 10.6-28.7 mm). At latest follow-up, there were significant improvements in all PROMs (P < 0.001): IKDC score, from 56.3±15.1 to 86.2±8.1; Kujala score, from 58.9±15.6 to 92.6±5.4; Lysholm score, from 63.7±15.0 to 94.0±5.7; Tegner score, from 3.1±1.4 to 4.7±1.4, and there were no significant differences in the improvements of the scores between the patients with Dejour B, C and D dysplasia. Overall, ninety percent of the patients returned to their preoperative sports level. One patient reported a postoperative subluxation, while no cases of infection, limited range of motion or patella fracture were observed. PT, LPD and BSO ratio were all significant altered (P < 0.001) after MPFC reconstruction. CONCLUSION Arthroscopically assisted MPFC reconstruction yielded satisfactory midterm clinical results for recurrent patellar dislocation with high-grade trochlear dysplasia. No significant differences of improvements in knee function were observed among the three types of high-grade trochlear dysplasia.
Humans ; Patellar Dislocation/surgery* ; Male ; Female ; Adult ; Arthroscopy/methods* ; Retrospective Studies ; Adolescent ; Young Adult ; Patellofemoral Joint/surgery* ; Recurrence ; Plastic Surgery Procedures/methods* ; Patella/surgery* ; Treatment Outcome

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Transoral endoscopic thyroidectomy vestibular approach (TOETVA) is a novel endoscopic thyroid surgery method. TOETVA can completely dissect the lymph nodes in the central area and Ⅳ area. TOETVA has both advantages of beauty and curative effect. Based on the clinical experience of this technique, the author reviewed the development, indications, complications and surgical skills of TOETVA in recent years, and looked forward to the development trend of this technique.

Objective To investigate the therapeutic mechanism of Shen Wu Yizhi Capsule in the treatment of post-stroke cognitive impairment(PSCI)by using network pharmacology methods and clinical trial validation.Methods A prospective trial was carried out in 90 cases of patients with PSCI admitted to Taihe Traditional Chinese Medicine Hospital Affiliated to Anhui University of Chinese Medicine from August 2022 to February 2024.The patients were randomly divided into the control group and the trial group by random number table method,with 45 cases in each group.The control group was treated with conventional treatment for PSCI,and the trial group was treated with Shen Wu Yizhi Capsule orally on the basis of treatment for the control group.The treatment course for the two groups covered 28 days.The changes of Mini-Mental State Examination(MMSE)score,Montreal Cognitive Assessment(MoCA)score,and the serum levels of inflammatory factors such as tumor necrosis factor α(TNF-α)and interleukin 6(IL-6)in the patients of the two groups were observed before and after treatment.Moreover,the incidences of adverse events in the two groups were recorded,thus to evaluate the safety of the treatment regimens in the two groups.And then the network pharmacological research was performed.TCMSP and literature review were used to obtain the active ingredients of Shen Wu Yizhi Capsule,GeneCards and other databases were used to obtain the PSCI disease targets,and the common targets were inputted into the STRING database to construct the PPI network.Cytoscape 3.9.0 was used to construct the network diagram of Shen Wu Yizhi Capsule-PSCI-targets,DAVID was used to perform GO and KEGG pathway enrichment analysis,and then molecular docking was used to verify the binding activity.Results(1)The results of clinical trial showed that after 28 days of treatment,the MMSE and MoCA scores of patients in the two groups were increased compared with those before treatment(P<0.05),and the increase of the scores in the trial group was significantly superior to that in the control group(P<0.05).The serum levels of TNF-α and IL-6 were decreased compared with those before treatment(P<0.05),and the decrease in the trial group was significantly superior to that in the control group(P<0.05).During the trial,both groups of patients did not show obvious adverse reactions,with high safety.(2)The network pharmacological research of Shen Wu Yizhi Capsule yielded 92 active ingredients,803 targets,5 209 disease targets and 556 intersection targets.The core targets were AKT1,TNF,IL-6,TP53 and IL-1B,and the key compounds were deoxyharringtonine,senkyunone and genkwanin.The GO enrichment analysis obtained 1 812 GO entries,of which 154 entries were related with cellular component(CC),1 332 entries were related with biological process(BP),and 326 entries were related with molecular function(MF).The KEGG pathway enrichment analysis yielded 195 signaling pathways.The molecular docking results showed that the key compounds of Shen Wu Yizhi Capsule had good binding activities with the core targets.Conclusion The clinical efficacy of Shen Wu Yizhi Capsule in the treatment of PSCI is remarkable,and its therapeutic mechanism is probably related with multiple components through the signaling pathways such as AKT1,TNF,and IL-6.The results will provide reference for the in-depth study of Shen Wu Yizhi Capsule.

Objective To investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.

Objective To assess the value of cardiac magnetic resonance(CMR)imaging for predicting adverse left ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI).Methods We retrospectively analyzed the clinical data and serial CMR(cine and LGE sequences)images of 86 STEMI patients within 1 week and 5 months after percutaneous coronary intervention(PCI),including 25 patients with adverse LV remodeling and 61 without adverse LV remodeling,defined as an increase of left ventricular end-systolic volume(LVESV)over 15%at the second CMR compared to the initial CMR.The CMR images were analyzed for LV volume,infarct characteristics,and global and infarct zone myocardial function.The independent predictors of adverse LV remodeling following STEMI were analyzed using univariate and multivariate Logistic regression methods.Results The initial CMR showed no significant differences in LV volume or LV ejection fraction(LVEF)between the two groups,but the infarct mass and microvascular obstructive(MVO)mass were significantly greater in adverse LV remodeling group(P<0.05).Myocardial injury and cardiac function of the patients recovered over time in both groups.At the second CMR,the patients with adverse LV remodeling showed a significantly lower LVEF,a larger left ventricular end-systolic volume index(LVESVI)and a greater extent of infarct mass(P<0.001)with lower global peak strains and strain rates in the radial,circumferential,and longitudinal directions(P<0.05),infarct zone peak strains in the 3 directions,and infarct zone peak radial and circumferential strain rates(P<0.05).The independent predictors for adverse LV remodeling following STEMI included the extent of infarct mass(AUC=0.793,95%CI:0.693-0.873;cut-off value:30.67%),radial diastolic peak strain rate(AUC=0.645,95%CI:0.534-0.745;cut-off value:0.58%),and RAAS inhibitor(AUC= 0.699,95%CI:0.590-0.793).Conclusion The extent of infarct mass,peak radial diastolic strain rate,and RAAS inhibitor are independent predictors of adverse LV remodeling following STEMI.

Objective:To investigate the genetic and evolutionary characteristics of hemagglutinin (HA) and neuraminidase (NA) genes of influenza B/Victoria (BV) virus in Xi′an city from 2019 to 2023.Methods:Twenty-five BV strains isolated from the Xi′an influenza surveillance network laboratory between 2019 and 2023 were collected. The HA and NA genes were sequenced using MiniSeq high-throughput sequencing platform. An evolutionary tree was constructed using bioinformatics software to analyze homology and mutation sites, and to predict N-glycosylation sites online. The antigenicity of the strains was analyzed through hemagglutination inhibition tests.Results:The BV influenza in Xi′an exhibited a distinct seasonal transmission pattern from 2019 to 2023, with peak prevalence occurring during the winter and spring seasons. The evolutionary analysis of the HA genes shows that the strains from Xi′an in 2019 belong to the V1A.3 branch, and the strains from 2021 to 2023 belong to the V1A.3a.2 branch. Analysis of antigenic sites showed that there were variations in 6 sites of 3 antigenic determinants in the HA proteins of the BV strains from 2021-2022 compared to 2019, and 2 sites of 1 antigenic determinant changed in the HA proteins in 2023 compared to 2021-2022. The evolutionary analysis of the NA genes indicates that the BV strains from Xi′an in 2019 belong to the A. 1.1 branch. By 2021 and 2022, it had evolved into the A. 1.2 clade, and by 2023, it had further evolved into the B clade and its derivatives, with no strains showing mutations associated with resistance to NA inhibitors. Antigenic analysis indicated that the majority of BV strains in Xi′an were similar to the strains included in the vaccine composition. Furthermore, glycosylation analysis showed that the potential N-glycosylation sites in the HA proteins of BV strains from 2021-2023 were reduced by one compared to those from 2019, and only a few strains from 2023 displayed alterations in the potential N-glycosylation sites of the NA proteins.Conclusions:The HA and NA genes of the BV strains from 2019 to 2023 are continuously mutating and evolving into new branches. Since 2021, V1A.3a.2 has become the dominant evolutionary branch of the HA genes, while the evolutionary branches of the NA genes from 2019 to 2023 have been continuously changing.