OBJECTIVE To optimize the simmering technology of Rheum palmatum from Menghe Medical School and compare the difference of chemical components before and after processing. METHODS Using appearance score， the contents of gallic acid， 5-hydroxymethylfurfural （5-HMF）， sennoside A+sennoside B， combined anthraquinone and free anthraquinone as indexes， analytic hierarchy process （AHP）-entropy weight method was used to calculate the comprehensive score of evaluation indicators； the orthogonal experiment was designed to optimize the processing technology of simmering R. palmatum with fire temperature， simmering time， paper layer number and paper wrapping time as factors； validation test was conducted. The changes in the contents of five anthraquinones （aloe-emodin， rhein， emodin， chrysophanol， physcion）， five anthraquinone glycosides （barbaloin， rheinoside， rhubarb glycoside， emodin glycoside， and emodin methyl ether glycoside）， two sennosides （sennoside A， sennoside B）， gallic acid and 5-HMF were compared between simmered R. palmatum prepared by optimized technology and R. palmatum. RESULTS The optimal processing conditions of R. palmatum was as follows: each 80 g R. palmatum was wrapped with a layer of wet paper for 0.5 h， simmered on high heat for 20 min and then simmered at 140 ℃， the total simmering time was 2.5 h. The average comprehensive score of 3 validation tests was 94.10 （RSD＜1.0%）. After simmering， the contents of five anthraquinones and two sennosides were decreased significantly， while those of 5 free anthraquinones and gallic acid were increased to different extents； a new component 5-HMF was formed. CONCLUSIONS This study successfully optimizes the simmering technology of R. palmatum. There is a significant difference in the chemical components before and after processing， which can explain that simmering technology slows down the relase of R. palmatum and beneficiate it.

ObjectiveTo explore the application value of probe-based confocal laser endomicroscopy (pCLE) in rapidly detecting and evaluating the morphological characteristics of digestive tract tissues in mice. MethodsTwelve male SPF Kunming mice aged 6 weeks were randomly divided into two groups. Six mice were subjected to gastric gavage with 52% Red Star Erguotou to establish the model, and six were given saline by gastric gavage as a control. After 28 days of modeling, 3 mice were randomly selected from each group. After deep anesthesia induced by inhalation of 3% isoflurane, the mice were sacrificed by cervical dislocation. The stomach, duodenum, jejunum, and rectum tissues were excised and immersed in 1% fluorescein sodium solution for staining. The microstructure of the mucosal surface of each tissue was observed using pCLE. The remaining mice in the model group and the control group were deeply anesthetized by inhaling 3% isoflurane, then cardiac perfusion was performed successively with saline and 4% paraformaldehyde. The stomach, duodenum, jejunum, and rectum tissues were excised for dehydration, section and hematoxylin-eosin (HE) staining, and the morphological changes of the tissues were observed under a microscope. ResultsUnder pCLE imaging, fluorescence staining on the surface of the gastrointestinal mucosa was uniform in the control group; the morphology of gastric pits, intestinal villi, and intestinal crypts was intact, arranged compactly, and had distinct boundaries. In the model group, the gastrointestinal mucosa exhibited mucosal swelling and deformation, with uneven fluorescence staining and fluorescein leakage. Furthermore, some tissues showed defects or cell shedding, and the boundaries between adjacent characteristic structures (e.g., gastric pits, intestinal crypts) were blurred. HE staining showed that the gastrointestinal tissue structure of the control group mice was normal and well-organized, with no structural defects. Moreover, submucosal glands were uniform in size, with no hyperplasia observed, and no obvious inflammatory cell infiltration. In the model group, some gastrointestinal mucosal structures were defective and sparsely arranged; submucosal glands showed atrophy, accompanied by obvious inflammatory cell infiltration. The histological characteristics detected by pCLE were consistent with those of HE staining. ConclusionpCLE can be used to obtain rapid, real-time, large-scale, and high-resolution microscopic imaging of the gastrointestinal mucosa, realistically and comprehensively displaying its physiological and microstructural characteristics. It shows promising prospects and practical utility in the histological evaluation of digestive system injuries in small animals.

[Objective] To compare next generation sequencing (NGS) library construction technology between probe hybridization capture and amplicon methods, and analyze the influencing factors of HLA genotyping resolution level and its prospects in clinical applications. [Methods] A total of 207 clinical samples with known typing results and samples from the proficiency testing plan were selected. The conformity rate of HLA genotyping results, allele coverage and typing data analysis indicators were confirmed, and the effects of two library construction methods on the level of HLA genotyping discrimination were compared. [Results] The concordance rate of 207 samples with the feedback results of PT or prior well-characterized HLA genotypes was 100%. Among them, 91 samples were captured using hybridization probe capture method. Compared with the original amplicon method, the hybridization probe capture method can distinguish the alleles of DRB1 and DPB1 that cannot be determined in 13 samples. The allelic imbalance of DRB1, DPA1, and DQB1 loci in 6 samples was resolved. Three samples were found to have missed detection of alleles at the DQA1 and DQB1 loci. [Conclusion] The performance indicators of hybridization probe capture and amplicon performance confirmation meet the requirements of clinical detection of HLA genotyping, which provides an experimental method and basis for clinical application.

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

OBJECTIVE To screen and quantitatively analyze differential quality markers （Q-Marker） in Zingiber officinale mixed and triturated with Schisandra chinensis （ZMTS） before and after processing. METHODS HPLC fingerprints of before processing [Z. officinale complicated with S. chinensis （ZWS）] and after processing （ZMTS） （10 batches each） were established. The differences of Q-Markers before and after processing were screened by the chemical pattern recognition method and Q-Marker “five principles”， and the contents were determined. RESULTS A total of 14 common peaks were identified in the fingerprints of ZWS， 22 common peaks were identified in the fingerprints of ZMTS， and 8 components were identified. Differential Q-Marker were screened by chemical pattern recognition and Q-Marker “five principles”， i. e. 6-gingerol， schisandrol A schisandrol B， 8-gingerol， 10-gingerol， schisandrin A， schisandrin B， schizandrin C. The average contents of the 8 differential Q-Markers in ZMTS were 229.46， 244.48， 39.96， 44.12， 61.17， 47.82， 100.11 and 9.70 μg/g， respectively. The average contents of the 4 differential Q-Markers （6-gingerol， schisandrol A， schisandrol B， 8-gingerol） in ZWS were 112.58， 19.01， 26.74 and 5.98 μg/g， respectively. CONCLUSIONS In this study， the differential Q-Markers before and after ZMTS processing are screened. The contents of the Q-Markers in ZMTS after processing are higher than those before processing.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

Objective:To establish a linkage prediction model for human leukocyte antigen (HLA) DPA1-DPB1 and validate it by using clinical data and follow-up data from unrelated allogeneic hematopoietic stem cell transplantation donors and recipients, and to explore the clinical application value of the prediction model in transplantation prognosis.Methods:This is a retrospective study. Leveraging the artificial neural network algorithm of NetMHCⅡpan and the DPA1-DPB1 haplotype linkage database of the Chinese population established in our previous research, and incorporating the amino acid FASTA data of DPA1-DPB1 of all known sequences newly published by the Latest International Immunogenetics/Human Leukocyte Antigens, 47 DPA1-DPB1 linkage models were established. Employing next-generation sequencing technology based on the hybridization capture library construction method, HLA genotyping tests for HLA-A, -B, -C, DRB1, DQB1, DQA1, DRB3/4/5, DPB1, and DPA1 (9 loci) were performed on 250 donor-recipients pairs who underwent unrelated-donor hematopoietic stem cell transplantation in the Department of Hematology of the First Affiliated Hospital of Soochow University between January 2016 and September 2021. HLA typing data and clinical information of transplant donors and recipients were retrospectively analyzed to assess and predict the impact of permissive and non-permissive linkage mismatches of DPA1-DPB1 on transplantation prognosis. The Kaplan-Meier method with the log-rank test was applied to compare the survival curves of overall survival (OS) rates between different groups. Additionally, a competing risks model was utilized to compare the cumulative incidence of grade Ⅱ-Ⅳ acute graft-versus-host disease and non-relapse mortality (NRM) across groups. The area under the receiver operating characteristic curve was employed to compare the predictive performance of the established prediction model with that of the T-cell epitope (TCE) model.Results:According to the different hydrophilic and hydrophobic properties of amino acids, the DPA1-DPB1 linkage model is categorized into types Ⅰ-Ⅳ: type I consists of 6 hydrophobic types at P1-P8 plus hydrophilic type at P9; type Ⅱ includes 17 hydrophobic types; type Ⅲ comprises 9 amphiphilic types; and type Ⅳ consists of 15 hydrophilic types. According to the prediction model, DPA1-matched and DPB1-mismatched donor-recipient cases were classed into P1-matched or P1-mismatched groups. Compared with fully matched DPA1 and DPB1 cases, P1-mismatched patients had a 2-year OS rate of 75% (12/16) versus 96.2%(25/26) (χ2=4.13, P=0.04), and a NRM rate of 4/16 versus 0 (χ2=7.05, P<0.01). However, there was no statistically significant difference in the 2-year OS and NRM rates compared to DPA1 and DPB1 cases ( P>0.05). The prediction model established in this study demonstrated a larger area under the receiver operating characteristic curve for predicting the 2-year OS rate compared with the DPB1 TCE model ( Z=0.71, P=0.48). In donor-recipient cases where both DPA1 and DPB1 were mismatched, the 2-year OS rates decreased and the NRM increased in both P1-matched and P1-mismatched cases compared with fully matched DPA1 and DPB1. Moreover, P1-mismatched patients had a worse prognosis compared to P1-matched patients. Conclusion:The DPA1-DPB1 linkage prediction model established based on high-throughput next-generation sequencing technology can be used to predict the impact of HLA-DP mismatches on OS and NRM in transplantation, and the prediction performance is superior to the TCE model.

Objective:To evaluate the value of left echography (LVO) in the diagnosis of false ventricular aneurysm complicated with mural thrombus.Methods:The clinical data of 10 patients with suspected pseudoventricular aneurysm examined by thoracic echocardiography (TTE) in Wuhan Asian Heart Hospital from January 2018 to March 2024 were retrospectively analyzed. All patients underwent LVO examination to further diagnose pseudoventricular tumor and whether it was complicated with mural thrombosis. Computed tomography angiography (CTA) or cardiac magnetic resonance (CMR) examination was used as the gold standard to analyze the diagnostic value of LVO in the diagnosis of pseudoventricular tumor.Results:Among the 10 suspected pseudoventricular tumors examined by TTE, LVO detected 6 cases of left ventricular pseudoaneurysm and 1 case of right ventricular pseudoaneurysm; CTA confirmed that 6 cases of left ventricular pseudoaneurysm detected by LVO were correctly diagnosed, 1 case of right ventricular pseudoaneurysm was misdiagnosed, CMR diagnosed right ventricular diverticula, LVO diagnosis accuracy was 6/7, and 4 cases of thrombi were detected. The detection rate was 4/4. The maximum transverse diameter of the tumor body of the communicating mouth/false ventricular aneurysm was 0.46±0.04. 1 patient underwent coronary artery bypass grafting and resection of false ventricular aneurysm. 1 patient underwent coronary artery interventional stent surgery; 4 routine conservative drug treatment, follow-up observation; One case of right ventricular diverticulum did not require special treatment.Conclusions:LVO contrast agent can clearly show the tumor body and location, measure the tumor entrance and size, and show mural thrombus. It is the first choice for the identification of false ventricular tumor. The diverticula was similar to the image of false ventricular aneurysm, and the sensitivity and specificity of right ventricular wall motion were higher in CMR than in LVO.