The precise and rapid monitoring of multiple organ dysfunction is crucial in drug discovery. Traditional methods, such as pathological analysis, are often time-consuming and inefficient. Here, we developed a multiplexed near-infrared window two (NIR-II) fluorescent bioimaging method that allows for real-time, rapid, and quantitative assessment of multiple organ dysfunctions. Given that existing probes did not fully meet requirements, we synthesized a range of NIR-II hemicyanine dyes (HDs) with varying absorption and emission wavelengths. By modifying these dyes, we achieved high spatial and temporal resolution imaging of the liver, kidneys, stomach, and intestines. This method was further applied to investigate disorders induced by cisplatin, a drug known to cause gastric emptying issues along with liver and kidney injuries. By monitoring the metabolic rate of the dyes in these organs, we accurately quantified multi-organ dysfunction, which was also confirmed by gold-standard pathological analysis. Additionally, we evaluated the effects of five aristolochic acids (AAs) on multiple organ dysfunction. For the first time, we identified that AA-I and AA-II could cause gastric emptying disorders, which was further validated through transcriptomics analysis. Our study introduces a novel approach for the simultaneous monitoring of multi-organ dysfunction, which may significantly enhance the evaluation of drug side effects.

Computational analysis can accurately detect drug-gene interactions (DGIs) cost-effectively. However, transductive learning models are the hotspot to reveal the promising performance for unknown DGIs (both drugs and genes are present in the training model), without special attention to the unseen DGIs (both drugs and genes are absent in the training model). In view of this, this study, for the first time, proposed an inductive learning-based model for the precise identification of unseen DGIs. In our study, by integrating disease nodes to avoid data sparsity, a multi-relational drug-disease-gene (DDG) graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions. Following the extraction of graph features by utilizing graph embedding algorithms, our next step was the retrieval of the attributes of individual gene and drug nodes. In this way, a hybrid feature characterization was represented by integrating graph features and node attributes. Machine learning (ML) models were built, enabling the fulfillment of transductive predictions of unknown DGIs. To realize inductive learning, this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights, enabling inductive predictions for the unseen DGIs. Consequently, the final model was superior to existing models, with significant improvement in predicting both external unknown and unseen DGIs. The practical feasibility of our model was further confirmed through case study and molecular docking. In summary, this study establishes an efficient data-driven approach through the proposed modeling, suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Objective:To explore the efficacy and safety of olverembatinib in treatment of chronic myeloid leukemia (CML) progressed to acute lymphoblastic leukemia with D241E mutation.Methods:The diagnosis and treatment of a patient with D241E mutant CML progressed to acute lymphoblastic leukemia admitted to the Fourth People's Hospital of Jinan in December 2018 were retrospectively analyzed, and relevant literature was reviewed.Results:The patient was a 47-year-old female, and her blood test result was abnormal during physical examination. She was diagnosed as CML and received treatment with imatinib and dasatinib for 2 years. The disease progressed to philadelphia chromosome (Ph)-positive acute B-lymphoblastic leukemia with BCR-ABL mutation (a D241E mutation). After 3 courses of chemotherapy combined with a targeted drug (ponatinib), the patient achieved complete remission, while the minimal residual disease continued to be positive. The patient received 1 course of chemotherapy combined with olverembatinib from the 4th course of treatment. After olverembatinib monotherapy maintenance therapy for 36 months, the patient achieved molecular complete remission with minimal residual disease. The patient developed complications such as skin pigmentation and elevated lipid levels, but all complications were tolerable.Conclusions:The application of olverembatinib in D241E mutant CML progressed to acute lymphoblastic leukemia can help patients obtain sustained molecular biological remission and good safety.

Poria cocos is a classic Chinese medicine with homology of food and medicine,which is beneficial to water infiltration,spleen and stomach,calming the heart and calming the mind,etc.It is known as"nine Poria cocos in ten prescriptions".Poria cocos contains polysaccharide,triterpenoids and steroids,among them polysaccharide and triterpenoid are considered as the main active components.Modern studies have shown that Poria cocos polysaccharide triterpenes display pharmacological activities such as anti-tumor,immunomodulatory and anti-oxidation.The dissolution rate of poria cocos and triterpenes was low in the traditional decocting process,and the oral absorption rate of poria cocos was low,but the activity of poria cocos and triterpenes was still very good,indicating the high activity of poria cocos and triterpenes.Therefore,this paper systematically reviews the extraction and separation,structural identification,content determination,structural modification,biosynthesis,pharmacological activity and potential product development value of Poria cocos polysaccharide and triterpenoids,in order to provide literature reference for the development of Poria cocos grand health industry.

Objective:To explore the current status and the influencing factors of protracted postpartum urinary retention(P-PUR) in women with labor analgesia, so as to provide evidences for early diagnosis and timely intervention for P-PUR.Methods:A total of 41 995 women who were given vaginal delivery under labor analgesia from January 2017 to October 2020 in Women′s Hospital of Nanjing Medical University were chosen as the research objects. A retrospective analysis was performed for the clinical data of 62 women with P-PUR, and a 1∶4 matching case control study was conducted. Logistic regression analysis was used to analyze the variables with statistical difference in univariate analysis, so as to explore the independent influencing factors of P-PUR in women with labor analgesia.Results:Among 41 995 women with labor analgesia, 62 women suffered from P-PUR, and the incidence was about 0.15% (62/41 995). The Logistic regression model showed that nulliparity ( OR=121.80, 95% CI 8.59-1 727.40, P<0.05), forceps delivery ( OR=13.41, 95% CI 2.21-81.58, P<0.05),Ⅱdegree porineal iaceration ( OR=0.04, 95% CI 0.01-0.11, P<0.05), episiotomy ( OR=0.13, 95% CI 0.04-0.47, P<0.05) and perineotomy with perineal laceration ( OR=0.20, 95% CI 0.06-0.63, P<0.05) were the independent risk factors. Conclusions:For primiparas with labor analgesia, interventions should be taken to reduce perineal injury, and indications of forceps delivery should be strictly controlled, so as to reduce P-PUR and adverse urinary tract complications.

Isopentenyl flavonoids are a class of characteristic components in Sophora flavescens Ait. (S. flavescens). They have biological activities such as anti-tumor, anti-bacteria, anti-inflammol/ Lation and anti-oxidation. In this paper, the structural types, toxicology and pharmacological effects of isopentenyl flavonoids from S. flavescens were briefly reviewed. Furthermore, the worth of further study on pharmacokinetics, pharmacodynamics, toxicology, action targets, molecular mechanisms and structure-function relationships of isopentenyl flavonoids were proposed. The deep exploration on functional characterastics of isopentenyl flavonoids of S. flavescens and their application on development of innovative drugs are of great significance to further improve the added value of isopentenyl flavonoids and expand their application fields.

Cholangiocarcinoma is a malignant tumor originating from the bile duct epithelium, with the increasing incidence year by year. Its early symptoms are atypical and the diagnosis rate is low. Most of the patients are already in advanced stage when they are diagnosed, losing the best surgery period. Currently, the conservative treatments for unresectable extrahepatic cholangiocarcinoma include stent placement, radiofrequency ablation, radiotherapy and chemotherapy, targeted and immunotherapy and other systemic treatments. But due to the high malignancy of biliary tract tumors, the tendency to develop drug resistance and the limited population benefited from the emerging treatment modalities, we urgently need to explore new treatment strategies to break this bottleneck. As a new treatment for cholangiocarcinoma, photodynamic therapy has attracted much attention for its clinical application and therapeutic effects. In this paper, we summarize the principles of photodynamic therapy, the combination of photodynamic and other therapeutic modalities, especially the combination of photodynamic with emerging immune and targeted therapies, and describe the current hotspot directions of photodynamic therapy research at home and abroad to provide reference for clinical treatment and research.

Objective:To study the timing of radiofrequency ablation (RFA) in treatment of complicated pyogenic liver abscesses (PLA).Methods:A retrospective analysis was performed on 49 patients with complicated PLA who were treated with the RFA-based treatment modality from August 2010 to January 2020 at Beijing Chaoyang Hospital, West Campus, Capital Medical University, Institute of Hepatobiliary, Pancreas and Spleen Surgery and the Second Hospital, Binzhou. The patients were divided into the early RFA group (≤ 72 h, n=27) and the delayed RFA group (>72 h, n=22) according to the timing of RFA. RFA was guided by laparoscopy combined with Ultrasound or CT. The safety and effective rates of RFA, and the total expenses were evaluated. Results:All patients in both the early and the delayed RFA groups were successfully cured (100%). No serious complications, including biliary leakage and massive hemorrhage, happened in the 2 groups. Significantly longer operating time and hospital stays [(8.1±1.6)d vs. (9.5±1.5)d], and higher hospital costs [(3.4±0.2) ten thousand yuan vs. (3.8±0.4) ten thousand yuan] were found in the delayed RFA group when compared with the early RFA group ( P<0.05). Conclusion:RFA treatment of complicated PLA should be completed within 72 hours of onset of PLA.

With the increasing global burden of various cancer, an abundance of papers emerged every year in the research hotspots of oncology, covering a wide range of research types and topics. In order to facilitate interested readers to quickly grasp the frontier and hotspots of cancer research, it would be helpful to sort out and summarize the research topic in a timely manner. According to the classification of disciplines, we screened the Essential Science Indicators (ESI) hot papers released in 2019 for the ones in the oncology field, utilized methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation to further reveal the context and characteristics of research in the field of oncology, summarized the latest progresses and future directions in the field, and provided information and hints for the trajectory of future research. A total of 549 papers were included, which were mainly from the field of clinical medicine; the country with the most publications was the United States, while China ranked the fourth in terms of contribution; the research institution with the highest number of published papers was University of Texas system;
Bibliometrics ; Biomedical Research ; China ; Humans ; Neoplasms ; Publications ; United States

Objective To investigate the auxiliary diagnostic value of combined detection serum lipoprotein-associated phospholipase A2 (LP-PLA2) and small and dense low-density lipoprotein (sd-LDL) in atherosclerosis.Methods The subjects were divided into experimental group and control group by random block design from May 2017 to January 2018,in the First Affiliated Yijishan Hospital of Anhui Wannan Medical College.The experimental group selected 125 AS patients with clinical diagnosis and confirmed by angiography,and 55 healthy subjects were chosen as the normal control group at the same time.Serum samples were collected within 24 hours after admission,and the level of LP-PLA2,sdLDL-C,low density lipoprotein cholesterol (LDL-C),triglyceride (TG),total cholesterol (TC) and high-sensitive C reactive protein (hs-CRP) were unified detection.The t test,single factor variance analysis and Mann-Whitney U and multivariate logistic regression analysis were used to analyze the data.Results LP-PLA2,sd-LDL,LDL,TC,TG and hs-CRP of the AS group were all higher than those of the healthy control group (Z=5.279,6.663,6.012,5.863,5.508 and 2.845,respectively,P＜0.05).Logistic regression analysis showed that serum LP-PLA2,sd-LDL and hs-CRP level was an independent risk factor for predicting atherosclerosis (OR=1.008,P=0.003;OR=8.282,P=0.012;OR=1.158,P=0.009).The sensitivity of LP-PLA2,sd-LDL,LDL-C,TC,TG,hs-CRP to AS was detected separately (57.6％,73.6％,85.6％,83.2％,76.8％,80.0％),and the specificity was (89.1％,78.2％,67.3％,69.1％,74.5％,52.7％).The ROC curve showed that the diagnostic efficacy of LP-PLA2 and sd-LDL combined detection was 0.854,higher than sd-LDL,LDL-C,TC,TG,LP-PLA2 and hs-CRP (0.811,0.782,0.775,0.758,0.747 and 0.633,respectively).In addition,the levels of both increased with the aggravation of arteriosclerotic lesion(x2=7.954,P=0.019;x2=11.44,P=0.003).The levels of LP-PLA2 and sd-LDL in patients with AS were not significantly different between different lesions (x2=8.042,P=0.09;x2=5.952,P=0.203).There was no significant difference between serum LP-PLA2 and sd-LDL level and sex,age,smoking,hypertension and diabetes (Z1=0.398,0.719,0.619,0.098 and 1.338 respectively,Z2=0.942,0.027,0.894,0.375,0.783,respectively,both P1 and P2 were＞0.05).Conclusions sd-LDL combined with LP-PLA2 has high sensitivity and specificity in the prediction of AS,which makes up for the deficiency of individual detection;sd-LDL and LP-PLA2 serum level has nothing to do with the lesion and has a positive correlation with the degree of lesions.It is not easily affected by other risk factors and can be used as a risk factor for predicting the occurrence of AS.