ObjectiveTo elucidate the chemical composition of Danshenyin and its blood components in rats after oral administration. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） coupled with PeakView 1.2 software was used to systematically characterize and identify the components of Danshenyin aqueous extract and its migratory components in rat blood after oral administration based on the retention time， quasi-molecular ion peaks， secondary fragmentation ions， and literature reports， and a preliminary compounds identification of Salviae Miltiorrhizae Radix et Rhizoma aqueous extract， the co-decoction of Santali Albi Lignum and Amomi Fructus was carried out to attribute the chemical constituents of the aqueous extract of Danshenyin. ResultsA total of 73 compounds， including 21 phenolic acids， 23 diterpenes， 6 flavonoids， 7 organic acids， 3 volatile oils and 13 others， were identified from the aqueous extract of Danshenyin. And 36 prototypes and 15 metabolites were identified in rat plasma， the major metabolic pathways included reduction， hydration， hydroxylation， demethylation， methylation， sulfation and others， these metabolites were mainly derived from tanshinones and salvianolic acids. ConclusionThe main blood components of the aqueous extract of Danshenyin are salvianolic acids and tanshinones， which may be the material basis of the efficacy. This study can provide reference for pharmacological research， quality control， and clinical application of Danshenyin.

BACKGROUND: The level of measurable residual disease (MRD) before and after transplantation is related to inferior transplant outcomes, and post-hematopoietic stem cell transplantation measurable residual disease (post-HSCT MRD) has higher prognostic value in determining risk than pre-hematopoietic stem cell transplantation measurable residual disease (pre-HSCT MRD). However, only a few work has been devoted to the risk factors for positive post-HSCT MRD in patients with acute lymphoblastic leukemia (ALL). This study evaluated the risk factors for post-HSCT MRD positivity in patients with ALL who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS: A total of 1683 ALL patients from Peking University People's Hospital between January 2009 and December 2019 were enrolled to evaluate the cumulative incidence of post-HSCT MRD. Cox proportional hazard regression models were built for time-to-event outcomes. Multivariable analysis was performed to determine independent influencing factors from the univariable analysis. RESULTS: Both in total patients and in T-cell ALL or B-cell ALL, pediatric or adult, human leukocyte antigen-matched sibling donor transplantation or haploidentical SCT subgroups, positive pre-HSCT MRD was a risk factor for post-HSCT MRD positivity ( P  <0.001 for all). Disease status (complete remission 1 [CR1] vs . ≥CR2) was also a risk factor for post-HSCT MRD positivity in all patients and in the B cell-ALL, pediatric, or haploidentical SCT subgroups ( P  = 0.027; P  = 0.003; P  = 0.035; P  = 0.003, respectively). A risk score for post-HSCT MRD positivity was developed using the variables pre-HSCT MRD and disease status. The cumulative incidence of post-HSCT MRD positivity was 12.3%, 25.1%, and 38.8% for subjects with scores of 0, 1, and 2-3, respectively ( P  <0.001). Multivariable analysis confirmed the association of the risk score with the cumulative incidence of post-HSCT MRD positivity and relapse as well as leukemia-free survival and overall survival. CONCLUSION Our results indicated that positive pre-MRD and disease status were two independent risk factors for post-HSCT MRD positivity in patients with ALL who underwent allo-HSCT.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology* ; Neoplasm, Residual ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; Risk Factors ; Adolescent ; Adult ; Child ; Child, Preschool ; Young Adult ; Middle Aged ; Infant ; Transplantation, Homologous ; Proportional Hazards Models ; Retrospective Studies

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Environmental toxicants have been linked to aging and age-related diseases. The emerging evidence has shown that the enhancement of detoxification gene expression is a common transcriptome marker of long-lived mice, Drosophila melanogaster, and Caenorhabditis elegans. Meanwhile, the resistance to toxicants was increased in long-lived animals. Here, we show that farnesoid X receptor (FXR) agonist obeticholic acid (OCA), a marketed drug for the treatment of cholestasis, may extend the lifespan and healthspan both in C. elegans and chemical-induced early senescent mice. Furthermore, OCA increased the resistance of worms to toxicants and activated the expression of detoxification genes in both mice and C. elegans. The longevity effects of OCA were attenuated in Fxr ^-/- mice and Fxr homologous nhr-8 and daf-12 mutant C. elegans. In addition, metabolome analysis revealed that OCA increased the endogenous agonist levels of the pregnane X receptor (PXR), a major nuclear receptor for detoxification regulation, in the liver of mice. Together, our findings suggest that OCA has the potential to lengthen lifespan and healthspan by activating nuclear receptor-mediated detoxification functions, thus, targeting FXR may offer to promote longevity.

Rheumatoid arthritis(RA)is an autoimmune disease with the basic pathological manifestation of synovial inflammation.Symmetric poly-articular pain and swelling are the main symptoms in clinical practice,and even extra-articular manifestations and comorbidities such as interstitial fibrosis and coronary artery disease are triggered,which seriously affect the quality of life of patients.Traditional Chinese medicine(TCM)has achieved good clinical efficacy in the prevention and treatment of RA with the advantages of multi-pathway,multi-target,multi-component,and less toxic side effects,and plays an important role in the treatment of RA.Recently,many studies have demonstrated that Chinese medicine monomers and Chinese herbal compound can control inflammation,reduce angiogenesis,induce apoptosis of synovial fibroblasts,and inhibit their proliferation,invasion and migration by regulating the PI3K/Akt signaling pathway,so as to play a key role in the treatment of RA.For this reason,the article summarizes current knowledge regarding the PI3K/Akt signaling pathway and its role in RA,as well as summarizes the current research progress of TCM in the treatment of RA by regulating the PI3K/Akt signaling pathway.The aim of this review is to provide theoretical bases for the prevention and treatment of RA and the development of new drugs.

Epstein-Barr virus (EBV) associated post-transplant lymphoproliferative disorders (PTLD) are one of the most severe complications after hematopoietic stem cell transplantation (HSCT). This study includes 31 cases of aplastic anemia (AA) patients who developed PTLD after haploidentical transplantation, summarizing their clinical characteristics and categorizing them into either rituximab monotherapy group or combination therapy group based on whether their condition improved by 1 log after a single dose of rituximab. The incidence of PTLD after HSCT in children with AA was 10.16%, and the incidence of PTLD in patients with age >10 years was significantly increased ( χ2=11.336, P=0.010). Of the 31 patients, 27 were clinically diagnosed and 4 were pathologically confirmed. Finally, 15 patients were classified into the rituximab treatment group and 15 patients into the combination treatment groups. Finally three patients died, and the 2-year overall survival rate was (89.7±5.6) %. Standard pre-treatment protocols and EBV reactivation are risk factors affecting the prognosis of PTLD. There was no statistically significant difference in the impact of the two treatment schemes on prognosis.

Objective:To investigate the efficacy and safety of venetoclax combined with the decitabine, cytarabine, and homoharringtonine (HHT) regimen and donor lymphocyte infusion (DLI) for the preventive and salvage therapy of pediatric acute myeloid leukemia (AML) /myelodysplastic syndrome (MDS) after allogeneic hematopoietic stem cell transplantation (HSCT) .Methods:A total of 29 relapsed pediatric/minimal residual disease-positive AML after HSCT were recruited at the Peking University Institute of Hematology from January 1, 2021, to June 1, 2023. They were treated with the above combination regimen and administered with DLI after 24-48 hours at the end of chemotherapy, and the treatment response and adverse reactions were regularly assessed.Results:The overall response rate (ORR) was 75.8%, CR rate was 88.9% (8/9) in the hematologic relapse group, and MRD negativity rate was 61.1% (11/18) in the MRD-positive group. The incidence of agranulocytosis, anemia, and thrombocytopenia with a classification above grade 3 were 100%, 82.7%, and 100%, respectively. The median time of the granulocyte deficiency period was 15 days. Acute graft-versus-host diseases (aGVHD) with a classification of grades Ⅲ-Ⅳ occurred in 11.1% of the patients after DLI, while moderate or severe cGVHD occurred in 7.4% of the patients. The single risk factor for ORR was MNC counts of less than 10×10 8/kg, and the relapse occurred within 100 days. At a median follow-up of 406 days, the 1-year OS was 65%, and the 1-year OS was 57% in the group with no reaction ( P=0.164) compared with 71% in the group who had an overall reaction. Conclusion:The combined regimen based on the DAC, VEN, and modified HA regimen showed a high response rate in the salvage therapy for pediatric AML after the relapse of HSCT. However, bridging to transplantation should be performed immediately after remission to result in a long survival rate.

Objective To explore the influencing factors of rational perioperative drug use,and to establish a rationality prediction model based on machine learning to assist pharmacists in prescription review.Methods A retrospective analysis was conducted on the perioperative prescription data of neurosurgery patients from a tertiary hospital and a central hospital in Shanxi Province between March 2021 and March 2023.Univariate analysis and multivariate Logistic regression were initially used to identify factors influencing rational drug use,followed by Lasso regression and multicollinearity analysis to select important variables.The data was split into a training set and test set at a ratio of 7∶3,and decision tree(DT),multi-layer perceptron(MLP),extreme gradient boosting(XGBoost),support vector machine(SVM),and random forest(RF)learning models were constructed.Results A total of 1 500 prescriptions were included,of which 668 were classified as rational and 832 as irrational.In both the training and test sets,the AUC values of the DT,XGBoost,and RF models exceeded 0.9.The DT model showed the highest sensitivity(0.81),while the RF model demonstrated the highest specificity(0.90).In the RF model,the number of comorbidities,preoperative waiting time,total hospitalization cost,prescribing physician's title,and adverse reaction occurrence negatively impacted prescription rationality,whereas the number of drugs,age,and administration route positively influenced rationality.Conclusion The machine learning-based rational drug use prediction model demonstrates strong predictive performance,effectively assisting pharmacists in prescription review and helping to reduce the incidence of irrational drug use.