Prevalence and Risk Factors of Pulmonary Embolism Combined with Tuberculosis and the Efficacy of Anticoagulation Combined with Anti-tuberculosis.

Objective: This retrospective study aimed to determine the prevalence and risk factors of combined pulmonary embolism (PE) among patients with pulmonary tuberculosis (TB), as well as evaluate the clinical efficacy of anticoagulation in combination with anti-tuberculosis therapy. Methods: A total of 96 TB patients were included in the study. Among them, 31 patients had combined PE (PE group) and 65 patients did not have PE (no-PE group). Various indicators including lung images, clinical symptoms, blood tests, coagulation function, and others were analyzed to identify risk factors for combined PE in TB patients. Within the PE group, patients were divided into a combined treatment group (received anticoagulation therapy alongside anti-tuberculosis treatment) and a control group (received only anti-tuberculosis treatment). The effectiveness of anticoagulation, serological indexes, and incidence of adverse reactions were compared between the two groups. Results: The prevalence of combined PE in TB patients was 32.29%. Encapsulated effusion or upper lobe predominance, dyspnea, and high creatinine levels were identified as risk factors for combined PE in TB patients. The combined treatment group showed a significantly higher anticoagulation efficiency rate (95.00%) compared to the control group (72.73%). After treatment, serum D-dimer levels were significantly lower in the rivaroxaban group compared to the warfarin group. The incidence of adverse reactions did not differ significantly between the two groups. Conclusion: Combined PE was found in 32.29% of TB patients. Encapsulated effusion or upper lobe predominance, dyspnea, and high creatinine levels were identified as risk factors for combined PE in TB patients. Anticoagulation combined with anti-tuberculosis therapy was effective and safe for managing TB patients with combined PE.

Exploring Anti-osteoporosis Medicinal Herbs using Cheminformatics and Deep Learning Approaches.

BACKGROUND: Osteoporosis is a prevalent disease for the aged population. Chinese herbderived natural compounds have anti-osteoporosis effects. Due to the complexity of chemical ingredients and natural products, it is necessary to develop a high-throughput approach with the integration of cheminformatics and deep-learning methods to explore their mechanistic action, especially herb/drug-gene interaction networks. METHODS: Ten medicinal herbs for clinical osteoporosis treatment were selected. Chemical ingredients of the top 10 herbs were retrieved from the TCMIO database, and their predicted targets were obtained from the SEA server. Anti-osteoporosis clinical drugs and targets were collected from multidatabases. Chemical space, fingerprint similarity, and scaffold comparison of the compounds between herbs and clinical drugs were analyzed by RDKit and SKlearn. A network of herb-ingredient-target was constructed via Gephi, and GO and KEGG enrichment analyses were performed using clusterProfiler. Additionally, the bioactivity of compounds and targets was predicted by DeepScreening. Molecular docking of YYH flavonoids to HSD17B2 was accomplished by AutoDockTools. RESULTS: Cheminformatics result depicts a pharmacological network consisting of 89 active components and 30 potential genes. The chemical structures of plant steroids, flavonoids, and alkaloids are key components for anti-osteoporosis effects. Moreover, bioinformatics result demonstrates that the active components of herbs mainly participate in steroid hormone biosynthesis and the TNF signaling pathway. Finally, deep-learning-based regression models were constructed to evaluate 22 anti-osteoporosis-related protein targets and predict the activity of 1350 chemical ingredients of the 10 herbs. CONCLUSION: The combination of cheminformatics and deep-learning approaches sheds light on the exploration of medicinal herbs mechanisms, and the identification of novel and active compounds from medical herbs in complex molecular systems.

Green tea derivative (-)-epigallocatechin-3-gallate (EGCG) confers protection against ionizing radiation-induced intestinal epithelial cell death both in vitro and in vivo.

Radiation-induced intestinal injury (RIII) occurs during instances of intentional or accidental radiation exposure. However, there are few effective treatments available for the prevention or mitigation of RIII currently. (-)-Epigallocatechin-3-gallate (EGCG), a major polyphenol in green tea, possesses potent antioxidant activity and has been shown to be effective in ameliorating many oxidative stress-related diseases. The therapeutic effects and mechanism of EGCG on RIII have not yet been determined. In the present study, we investigated whether EGCG confers radioprotection against RIII. Our data demonstrated that administration of EGCG not only prolonged the survival time of lethally irradiated mice, but also reduced radiation-induced intestinal mucosal injury. Treatment with EGCG significantly increased the number of Lgr5+ intestinal stem cells (ISCs) and their progeny Ki67+ cells, and reduced radiation-induced DNA damage and apoptosis. Besides, EGCG displayed the same radioprotective effects in human intestinal epithelial HIEC cells as in mice, characterized by a decrease in the number of γH2AX foci and ferroptosis. Moreover, EGCG decreased the level of reactive oxygen species (ROS) and activated the transcription factor Nrf2 and its downstream targets comprising antioxidant proteins Slc7A11, HO-1 and GPX4. Treatment with the Nrf2 inhibitor ML385 abolished the protective effects of EGCG, indicating that Nrf2 activation is essential for EGCG activity. Taken together, our findings demonstrated that EGCG protects against RIII by scavenging ROS and inhibiting apoptosis and ferroptosis through the Nrf2 signal pathway, which could be a promising medical countermeasure for the alleviation of RIII.

Kuijieling, a Chinese medicine alleviates DSS-induced colitis in C57BL/6Jmouse by improving the diversity and function of gut microbiota.

Ulcerative colitis (UC) is a gastrointestinal disease. The link between gut microbiota and the inflammatory response in the gut has been recently established. Restoration of gut microbiota suppresses inflammatory signaling. Kuijieling (KJL) decoction, an experimental Chinese medicine formula could ameliorate the symptom of colitis. However, the involvement of gut microbiota in its curative effect remains known. Here, we would like to assess the therapeutic effect of KJL in DSS-induced UC model. Mouse feces were collected, followed by 16S rRNA sequencing. Kuijieling decoction improved gut microbial homeostasis and suppressed inflammation in the UC model. A 5-fold cross-validation and random forest analysis identified seven signature bacterial taxa representing the DSS-mediated pathogenic condition and recovery stage upon KJL decoction treatment. Overall, the findings support the notion of KJL decoction-mediated restoration of gut microbiota as a critical step of inducing remission and alleviating UC symptoms. In the present investigation, we aimed to address the question of whether KJL decoction alleviates the UC symptoms by manipulating the gut microbial structure and function.

TCMIO: A Comprehensive Database of Traditional Chinese Medicine on Immuno-Oncology.

Advances in immuno-oncology (IO) are making immunotherapy a powerful tool for cancer treatment. With the discovery of an increasing number of IO targets, many herbs or ingredients from traditional Chinese medicine (TCM) have shown immunomodulatory function and antitumor effects via targeting the immune system. However, knowledge of underlying mechanisms is limited due to the complexity of TCM, which has multiple ingredients acting on multiple targets. To address this issue, we present TCMIO, a comprehensive database of Traditional Chinese Medicine on Immuno-Oncology, which can be used to explore the molecular mechanisms of TCM in modulating the cancer immune microenvironment. Over 120,000 small molecules against 400 IO targets were extracted from public databases and the literature. These ligands were further mapped to the chemical ingredients of TCM to identify herbs that interact with the IO targets. Furthermore, we applied a network inference-based approach to identify the potential IO targets of natural products in TCM. All of these data, along with cheminformatics and bioinformatics tools, were integrated into the publicly accessible database. Chemical structure mining tools are provided to explore the chemical ingredients and ligands against IO targets. Herb-ingredient-target networks can be generated online, and pathway enrichment analysis for TCM or prescription is available. This database is functional for chemical ingredient structure mining and network analysis for TCM. We believe that this database provides a comprehensive resource for further research on the exploration of the mechanisms of TCM in cancer immunity and TCM-inspired identification of novel drug leads for cancer immunotherapy. TCMIO can be publicly accessed at http://tcmio.xielab.net.

DeepScreening: a deep learning-based screening web server for accelerating drug discovery.

Deep learning contributes significantly to researches in biological sciences and drug discovery. Previous studies suggested that deep learning techniques have shown superior performance to other machine learning algorithms in virtual screening, which is a critical step to accelerate the drug discovery. However, the application of deep learning techniques in drug discovery and chemical biology are hindered due to the data availability, data further processing and lacking of the user-friendly deep learning tools and interface. Therefore, we developed a user-friendly web server with integration of the state of art deep learning algorithm, which utilizes either the public or user-provided dataset to help biologists or chemists perform virtual screening either the chemical probes or drugs for a specific target of interest. With DeepScreening, user could conveniently construct a deep learning model and generate the target-focused de novo libraries. The constructed classification and regression models could be subsequently used for virtual screening against the generated de novo libraries, or diverse chemical libraries in stock. From deep models training to virtual screening, and target focused de novo library generation, all those tasks could be finished with DeepScreening. We believe this deep learning-based web server will benefit to both biologists and chemists for probes or drugs discovery.

Kuijieling regulates the differentiation of Treg and Th17 cells to ameliorate experimental colitis in rats.

BACKGROUND: Regulatory T (Treg) cells and T helper 17 (Th17) cells play crucial roles in ulcerative colitis (UC). Kuijieling (KJL) is an effective Chinese medicine formula for treating UC in clinic. Kuijieling has shown remedy effect on the imbalance between Treg and Th17 cells. This study aimed to further reveal the exact underlying mechanism of how Kuijieling regulates the differentiation of Treg and Th17 cells in the treatment of UC. METHODS: Colitis was induced by trinitrobenzene sulfonic acid in rats and treated by KJL. Pathological injury was evaluated by HE staining and pathological score. Transforming growth factor-ß1 (TGF-ß1), interleukin(IL)-2, IL-6, IL-10, IL-17, IL-23 and IL-21 in plasma were assayed by ELISA. Forkhead box P3 (Foxp3), signal transducer and activator of transcription (STAT) 5 expressed in colon mucosa were measured by western blot. Immunohistochemistry was employed for quantifying retinoic acid-related orphan receptor γt (RORγt) and STAT3 in colon. RT-PCR was used to analyze the expression of IL-2, IL-17, IL-23, IL-21 mRNA in colon. RESULTS: After the administration of KJL, pathological injury in colon mucosa was reduced and histological score was decreased, transforming growth factor-ß1 (TGF-ß1), interleukin(IL)-2, IL-10 in blood and Foxp3, STAT5, IL-2 in colon increased significantly, IL-6, IL-23, IL-17, IL-21 in blood and RORγt, STAT3, IL-23, IL-17, IL-21 in colon decreased. Our result showed that KJL regulates the related cytokines and transcription factors to promote Treg cells and suppress Th17 cells. CONCLUSION: KJL restores the balance between Treg and Th17 cells through regulating the differentiation of them, therefore contributes to the treatment of UC.

Serum biochemistry, histology and transcriptomic profile analysis reflect liver inflammation and damage following dietary histamine supplementation in yellow catfish (Pelteobagrus fulvidraco).

Previous studies suggested that diets containing high levels of histamine influenced digestive system of aquatic animals. In addition, the exogenous histamine was first detoxified by diamine oxidase in the intestine, while the rest of histamine was further detoxified in the liver. Thus, based on the evidence from the previous studies, we hypothesized that high levels of histamine may lead to damage on liver of the aquatic animals. Here, in current attempt, we sought to investigate the toxic effect of histamine on yellow catfish (Pelteobagrus fulvidraco) liver physiology and pathogenesis. In the present study, yellow catfish were fed for 56 days on diets supplemented with 1000 mg kg-1 histamine (His) or a basal diet as the control group (Con). A significant change on the morphology of the intestine and liver was observed, followed with an induction of serum activity of aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Furthermore, the transcriptomic analysis was performed to gain an overview of the gene expression profile in liver between control and histamine supplemented groups. Through the bioinformatics analysis, 431 differentially expressed genes were identified. Among these genes, Gene Ontology enrichment analysis (GO) suggests that immune-related genes are significantly dysregulated. In addition, TNF signaling pathway is enriched in Kyoto Encyclopedia of Genes and Genomes analysis (KEGG), and is also the dominant pathway in immune system, suggesting that the inflammatory response and apoptosis of hepatocytes are induced by exogenous histamine.

[Determination of chlorogenic acid and luteoloside in lonicerae flos of different habitats and germplasms].

OBJECTIVE: To establish an UPLC-PDA method for simultaneous determination of chlorogenic acid and luteoloside in Lonicerae Flos. On the basis of developed method, the quality of Lonicerae Flos from nine habitats and two local germplasms introduced from Qufu in Shandong to Wuming in Guangxi was evaluated. METHODS: The analysis was performed on a Waters Acquity UPLC H-Class system. An Acquity UPLC BEH RP18 (100 mm x 2.1 mm,1.7 µm) column was used for all analyses. The investigated compounds were separated with a gradient mobile phase consisting of acetonitrile and 0.4% phosphoric acid solution at a flow rate of 0.2 mL/min, and the detection wavelength was set at 242 nm. RESULTS: The quality of Lonicerae Flos from Qufu was the best among Lonicerae Flos of nine habitats for its content of chlorogenic acid and luteoloside at 35.715 and 1.270 mg/g, respectively. The content of chlorogenic acid and luteoloside in Lonicerae Flos of "Jiufengyihao" and "Shuxing" introduced from Qufu to Wuming both complied with the standard of Chinese Pharmacopoeia (2010 edition). CONCLUSION: The developed UPLC-PDA method is simple, reliable and repeatable, which is helpful for the quality control of Lonicerae Flos. "Jiufengyihao" and "Shuxing" are potential germplasms for the introduction of Lonicerae Flos in Wuming.

[Eosinophils apoptosis, fas mRNA and bcl-2 mRNA expressions in asthma model of young rat and effects of achyranthes bidentata polysaccharides].

OBJECTIVE: Asthma is a chronic respiratory tract disorder characterized by airway hyperreaction (AHR), persistent airway inflammation, high serum IgE, overproduction of IL-4, IL-5 and IL-13 by allergen-specific Th2 cells. The morbidity and mortality of asthma have continued to increase despite the use of currently available therapeutic agents. The reputed effects of traditional Chinese medicines (TCMs) have led to increasing use of TCMs for treatment of asthma throughout the world. The aims of this study were to investigate in asthma model of young rat the mRNA expressions of apoptotic gene fas and bcl-2, eosinophils (EOS) apoptosis in airway, and effects of achyranthes bidentata polysaccharides (ABPS), a group of polysaccharides extracted from TCM Achyranthes bidentata blume, on treatment of asthma. METHODS: Fifty Sprague-Dawley (SD) rats were divided into five groups, 10 rats per group. Asthma in rats was induced by intraperitioneal sensitization and challenge with nebulized ovalbumin (OVA). A pretreatment with ABPS [50 mg/(kg x d)] was done according to three different schedules: consecutively 3 days at sensitization (T1), at challenge (T2) or both of the two periods (T3). Sham-treated rats (A) and naive rats (C) served as controls. The animals were sacrificed 24 hours after the last challenge. The mRNA expression of bcl-2 and fas in eosinophils presenting in airway and the apoptosis of eosinophils in airway were assessed by using in situ hybridization with oligonucleotide probe and TUNEL methods, respectively. RESULTS: (1) Twenty-four hours after the last antigen challenge, the mRNA expression of fas in eosinophils presenting in airway significantly decreased in group A [(43.4 +/- 10.0)%] compared with that in group C [(73.2 +/- 11.9)%] (P < 0.01). ABPS could increase the fas mRNA expression significantly in all the three groups [(59.0 +/- 8.1)%, (57.5 +/- 9.6)%, (76.2 +/- 2.7)%], compared with that in group A (P < 0.05, P < 0.05, P < 0.01, respectively). The expression of the bcl-2 mRNA in group C was (47.9 +/- 8.7)%, it was elevated to (67.4 +/- 7.3)% in group A (P < 0.01). The expression of the bcl-2 mRNA in ABPS treated T1 and T3 groups was significantly lowered [(57.7 +/- 12.7)%, (57.3 +/- 6.8)%, P < 0.05], but not in T2 group [(72.4 +/- 6.7)%]. (2) In group A, the EOS presenting in the airway increased significantly, but there were few apoptotic EOS; the percentage of apoptotic eosinophil was distinctly lower in group A than that in group C [(5.3 +/- 2.2)% vs. (15.9 +/- 2.4)%, P < 0.01]. Compared with that in group A, the eosinophil apoptosis ratio in those ABPS treated groups T1, T3 was evidently elevated [(8.7 +/- 2.9)%, (9.8 +/- 2.2)%, P < 0.05, P < 0.05], but ABPS treated at challenge (T2) could not change the eosinophil apoptosis ratio significantly (P > 0.05). CONCLUSION: (1) In asthmatic rat, the expressions of the genes fas and bcl-2 mRNA in EOS were changed evidently and the ratio of EOS apoptotosis reduced greatly. (2) ABPS could enhance the apoptosis of EOS by upregulating the expression of the genes fas and bcl-2 mRNA.