Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach.

MicroRNA (miRNA)-target interaction (MTI) plays a substantial role in various cell activities, molecular regulations and physiological processes. Published biomedical literature is the carrier of high-confidence MTI knowledge. However, digging out this knowledge in an efficient manner from large-scale published articles remains challenging. To address this issue, we were motivated to construct a deep learning-based model. We applied the pre-trained language models to biomedical text to obtain the representation, and subsequently fed them into a deep neural network with gate mechanism layers and a fully connected layer for the extraction of MTI information sentences. Performances of the proposed models were evaluated using two datasets constructed on the basis of text data obtained from miRTarBase. The validation and test results revealed that incorporating both PubMedBERT and SciBERT for sentence level encoding with the long short-term memory (LSTM)-based deep neural network can yield an outstanding performance, with both F1 and accuracy being higher than 80% on validation data and test data. Additionally, the proposed deep learning method outperformed the following machine learning methods: random forest, support vector machine, logistic regression and bidirectional LSTM. This work would greatly facilitate studies on MTI analysis and regulations. It is anticipated that this work can assist in large-scale screening of miRNAs, thereby revealing their functional roles in various diseases, which is important for the development of highly specific drugs with fewer side effects. Source code and corpus are publicly available at https://github.com/qi29.

Quantitative model for genome-wide cyclic AMP receptor protein binding site identification and characteristic analysis.

Cyclic AMP receptor proteins (CRPs) are important transcription regulators in many species. The prediction of CRP-binding sites was mainly based on position-weighted matrixes (PWMs). Traditional prediction methods only considered known binding motifs, and their ability to discover inflexible binding patterns was limited. Thus, a novel CRP-binding site prediction model called CRPBSFinder was developed in this research, which combined the hidden Markov model, knowledge-based PWMs and structure-based binding affinity matrixes. We trained this model using validated CRP-binding data from Escherichia coli and evaluated it with computational and experimental methods. The result shows that the model not only can provide higher prediction performance than a classic method but also quantitatively indicates the binding affinity of transcription factor binding sites by prediction scores. The prediction result included not only the most knowns regulated genes but also 1089 novel CRP-regulated genes. The major regulatory roles of CRPs were divided into four classes: carbohydrate metabolism, organic acid metabolism, nitrogen compound metabolism and cellular transport. Several novel functions were also discovered, including heterocycle metabolic and response to stimulus. Based on the functional similarity of homologous CRPs, we applied the model to 35 other species. The prediction tool and the prediction results are online and are available at: https://awi.cuhk.edu.cn/∼CRPBSFinder.

In-Hospital Adverse Events of Pheochromocytoma-Induced Takotsubo Syndrome: A Literature Review and Cluster Analysis of 172 Cases.

Background: Pheochromocytoma-induced takotsubo syndrome (Pheo-TTS) significantly increases the risk of adverse events for inpatient. The early identification of risk factors at admission is crucial for effective risk stratification and minimizing complications in Pheo-TTS patients. Methods: We conducted a systematic review combined with hierarchical cluster and feature importance analysis of demographic, clinical and laboratory data upon admission, alongside in-hospital complication data for Pheo-TTS patients. We analyzed cases published in PubMed and Embase from 2 May 2006 to 27 April 2023. Results: Among 172 Pheo-TTS patients, cluster analysis identified two distinct groups: a chest pain dominant (CPD) group (n = 86) and a non-chest pain dominant (non-CPD) group (n = 86). The non-CPD group was characterized by a younger age (44.0 ± 15.2 vs. 52.4 ± 14.4, p < 0.001), a higher prevalence of neurological/psychiatric disorders (53.5% vs. 32.6%), and increased presentation of dyspnea (87.2% vs. 17.4%), pulmonary rales (59.3% vs. 8.1%), and tachycardia (77.9% vs. 30.2%). Additionally, they exhibited more atypical takotsubo syndrome (TTS) imaging phenotypes (55.8% vs. 36.5%, all p < 0.05). The non-CPD group experienced more than a 2-fold increase for in-hospital adverse events compared to the CPD group (70.9% vs. 30.2%, p < 0.001). After adjusting for confounding factors, the absence of chest pain (odds ratio [OR] = 0.407, 95% confidence interval [CI] 0.169-0.979, p = 0.045), the presence of abdominal symptoms (OR = 3.939, 95% CI 1.770-8.766, p = 0.001), pulmonary rales (OR = 4.348, 95% CI 1.857-10.179, p = 0.001), and atypical TTS imaging phenotype (OR = 3.397, 95% CI 1.534-7.525, p = 0.003) remained as independent predictors of in-hospital complications. Conclusions: Clinical manifestations and imaging features at admission help to predict in-hospital complications for Pheo-TTS patients.

MED1 Regulates BMP/TGF-ß in Endothelium: Implication for Pulmonary Hypertension.

BACKGROUND: Dysregulated BMP (bone morphogenetic protein) or TGF-ß (transforming growth factor beta) signaling pathways are imperative in idiopathic and familial pulmonary arterial hypertension (PAH) as well as experimental pulmonary hypertension (PH) in rodent models. MED1 (mediator complex subunit 1) is a key transcriptional co-activator and KLF4 (Krüppel-like factor 4) is a master transcription factor in endothelium. However, MED1 and KLF4 epigenetic and transcriptional regulations of the BMP/TGF-ß axes in pulmonary endothelium and their dysregulations leading to PAH remain elusive. We investigate the MED1/KLF4 co-regulation of the BMP/TGF-ß axes in endothelium by studying the epigenetic regulation of BMPR2 (BMP receptor type II), ETS-related gene (ERG), and TGFBR2 (TGF-ß receptor 2) and their involvement in the PH. METHODS: High-throughput screening involving data from RNA-seq, MED1 ChIP-seq, H3K27ac ChIP-seq, ATAC-seq, and high-throughput chromosome conformation capture together with in silico computations were used to explore the epigenetic and transcriptional regulation of BMPR2, ERG, and TGFBR2 by MED1 and KLF4. In vitro experiments with cultured pulmonary arterial endothelial cells (ECs) and bulk assays were used to validate results from these in silico analyses. Lung tissue from patients with idiopathic PAH, animals with experimental PH, and mice with endothelial ablation of MED1 (EC-MED1-/-) were used to study the PH-protective effect of MED1. RESULTS: Levels of MED1 were decreased in lung tissue or pulmonary arterial endothelial cells from idiopathic PAH patients and rodent PH models. Mechanistically, MED1 acted synergistically with KLF4 to transactivate BMPR2, ERG, and TGFBR2 via chromatin remodeling and enhancer-promoter interactions. EC-MED1-/- mice showed PH susceptibility. In contrast, MED1 overexpression mitigated the PH phenotype in rodents. CONCLUSIONS: A homeostatic regulation of BMPR2, ERG, and TGFBR2 in ECs by MED1 synergistic with KLF4 is essential for the normal function of the pulmonary endothelium. Dysregulation of MED1 and the resulting impairment of the BMP/TGF-ß signaling is implicated in the disease progression of PAH in humans and PH in rodent models.

CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers.

Circular RNAs (circRNAs), which are single-stranded RNA molecules that have individually formed into a covalently closed continuous loop, act as sponges of microRNAs to regulate transcription and translation. CircRNAs are important molecules in the field of cancer diagnosis, as growing evidence suggests that they are closely related to pathological cancer features. Therefore, they have high potential for clinical use as novel cancer biomarkers. In this article, we present our updates to CircNet (version 2.0), into which circRNAs from circAtlas and MiOncoCirc, and novel circRNAs from The Cancer Genome Atlas database have been integrated. In total, 2732 samples from 37 types of cancers were integrated into CircNet 2.0 and analyzed using several of the most reliable circRNA detection algorithms. Furthermore, target miRNAs were predicted from the full-length circRNA sequence using three reliable tools (PITA, miRanda and TargetScan). Additionally, 384 897 experimentally verified miRNA-target interactions from miRTarBase were integrated into our database to facilitate the construction of high-quality circRNA-miRNA-gene regulatory networks. These improvements, along with the user-friendly interactive web interface for data presentation, search, and visualization, showcase the updated CircNet database as a powerful, experimentally validated resource, for providing strong data support in the biomedical fields. CircNet 2.0 is currently accessible at https://awi.cuhk.edu.cn/∼CircNet.

miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.

MicroRNAs (miRNAs) are noncoding RNAs with 18-26 nucleotides; they pair with target mRNAs to regulate gene expression and produce significant changes in various physiological and pathological processes. In recent years, the interaction between miRNAs and their target genes has become one of the mainstream directions for drug development. As a large-scale biological database that mainly provides miRNA-target interactions (MTIs) verified by biological experiments, miRTarBase has undergone five revisions and enhancements. The database has accumulated >2 200 449 verified MTIs from 13 389 manually curated articles and CLIP-seq data. An optimized scoring system is adopted to enhance this update's critical recognition of MTI-related articles and corresponding disease information. In addition, single-nucleotide polymorphisms and disease-related variants related to the binding efficiency of miRNA and target were characterized in miRNAs and gene 3' untranslated regions. miRNA expression profiles across extracellular vesicles, blood and different tissues, including exosomal miRNAs and tissue-specific miRNAs, were integrated to explore miRNA functions and biomarkers. For the user interface, we have classified attributes, including RNA expression, specific interaction, protein expression and biological function, for various validation experiments related to the role of miRNA. We also used seed sequence information to evaluate the binding sites of miRNA. In summary, these enhancements render miRTarBase as one of the most research-amicable MTI databases that contain comprehensive and experimentally verified annotations. The newly updated version of miRTarBase is now available at https://miRTarBase.cuhk.edu.cn/.

Root rot of spinach caused by Pythium myriotylum and P. aphanidermatum in Taiwan.

Spinach (Spinacia oleracea) is a commonly used green vegetable. During September and October in both 2022 and 2023, a vegetable nursery company located among paddy rice fields in Taichung City, Taiwan, reported significant failures in spinach seedling production in net-houses with mean outdoor temperatures of 28.7℃. Abnormal growth was observed in approximately 30% of the spinach seedlings in each batch (n = 2,000 to 3,000), with aboveground tissues showing stunting, yellowing, and wilt, and underground tissues displaying root rot. The symptoms resembled the spinach damping-off documented in Taiwan in extension articles but which lacked complete pathogen identification. A total of 110 plants from two batches were used for pathogen isolation by placing roots on water agar incubated at 25℃ or were examined for the presence of oospores in diseased roots. Eighty-one percent of these plants were associated with Pythium. Nine Pythium isolates were used in subsequent analyses. Genomic DNA from these isolates was subjected to amplification of ITS, ß-tubulin gene (TUB2), and cytochrome C oxidase subunit Ⅱ (COXII) gene with primer pairs ITS1 / ITS4, BT5 / BT6, and FM58 / FM66 (Villa et al. 2006). Sequences of ITS (PP209187-PP209195), TUB2 (PP212864-PP212872), and COXII (PP212855-PP212863) were deposited in GenBank. Four isolates (sp01, sp02, sp03, and sp04) were 100% identical to the neotype strain (CBS 118.80) of Pythium aphanidermatum (Edson) Fitzp. for the ITS (761 bp), TUB2 (583 bp), and COXII (547 bp). Five isolates (2sp, 3sp, ND2-4sp, D3-4sp, and ND3-3sp) were 99.87%, 100%, and 99% identical to the reference strain (CBS 254.70) of Pythium myriotylum Drechsler for the ITS (762 bp), TUB2 (602 bp), and COXII (556 bp), respectively. Phylogenetic analysis of Pythium isolates inferred from concatenated sequences of the three genes (LéVesque and De Cock 2004; Villa et al. 2006) revealed that the same four isolates grouped with the neotype strain of P. aphanidermatum, and the five isolates clustered with the reference strain of P. myriotylum, each with a 100% bootstrap support. Morphological features of isolates ND3-3sp and sp01 were used for identification. Isolate ND3-3sp produced inflated lobulate sporangia and aplerotic and smooth oospores (16.3 to 25.1 um; n = 30) attached with three to five antheridia, consistent with identification as P. myriotylum. Isolate sp01 produced inflated lobulate sporangia and aplerotic and smooth oospores (17.0 to 24.0 um; n= 30) attached with a single intercalary antheridium, agreeing with the morphology of P. aphanidermatum (Van der Plaats-Niterink 1981). To investigate the pathogenicity of the nine Pythium isolates on spinach, 20 mycelial agar discs (4 mm in diameter) from a 2-day-old V8 culture of each isolate were used to induce sporangia and zoospores in 20 ml sterilized water at 25℃ with a 12 h light / dark regime. A 1.5 ml zoospore suspension (6 × 103 zoospores / ml) was dropped into BVB growth substrate of two spinach seedlings in 2-week-old at 25℃ with 12 h light / dark regime, resulting in symptoms resembling those observed in commercial nurseries at 7 days post-inoculation (dpi). Each Pythium isolate inoculated 20 seedlings in 10 cells of a planting tray. At 14 dpi, disease incidences were 95 to 100% for P. myriotylum isolates and 60 to 85% for P. aphanidermatum isolates, while control plants treated with water showed no symptoms. Re-isolated pathogens from the inoculated plants were morphologically identical to the inoculated isolates, completing Koch's postulates. Results of the pathogenicity assay, along with molecular and morphological identification, conclude that the root rot of spinach was caused by P. myriotylum and P. aphanidermatum. The two oomycetes were not formally documented to cause spinach diseases in Taiwan. Although P. myriotylum has been isolated from spinach (Wang et al. 2003), its pathogenicity to spinach was not documented worldwide. Root rot of spinach caused by P. aphanidermatum has been reported in the United States (Bates and Stanghellini 1984), Korea (Cho and Shin 2004), and Italy (Garibaldi et al. 2015). These pathogens thrive in humid and hot weather (Littrell and McCarter, 1970). Producing spinach in cooler weather or in a temperature-controlled environment may help prevent severe occurrence of the disease.

Development of Specific Primers for Fusarium oxysporum Formae Speciales rapae and matthiolae with an Integrated Multiplex PCR for Distinguishing Four Formae Speciales on Brassicaceae.

There are four formae speciales of Fusarium oxysporum responsible for causing yellows of Brassicaceae. Because of crossbreeding among crops, the host ranges of these formae speciales often overlap, making pathogen identification a challenging task. Among these formae speciales, F. oxysporum f. sp. rapae and F. oxysporum f. sp. matthiolae still lack specific primers for pathogen identification. To address this problem, we targeted the secreted in xylem (SIX) genes, known as specific effectors of pathogenic F. oxysporum, for primer design. Through sequence comparison with other formae speciales, we successfully designed specific primers for F. oxysporum f. sp. rapae and F. oxysporum f. sp. matthiolae on SIX14 and SIX9, respectively. Both primer pairs exhibited high specificity in detecting F. oxysporum f. sp. rapae or F. oxysporum f. sp. matthiolae, distinguishing them from 20 nontarget formae speciales of F. oxysporum, five species of phytopathogenic Fusarium, and four other common pathogenic fungi affecting cruciferous plants. Moreover, the effectiveness of these specific primers was validated by detecting the pathogens in infected plants. To further enhance the identification process of the four formae speciales, we combined the two newly designed specific primer pairs with two previously published primer pairs, enabling the establishment of a multiplex PCR method that can accurately distinguish all four formae speciales of F. oxysporum responsible for causing yellows in cruciferous plants in a single reaction.

A Causal Regulation Modeling Algorithm for Temporal Events with Application to Escherichia coli's Aerobic to Anaerobic Transition.

Time-series experiments are crucial for understanding the transient and dynamic nature of biological phenomena. These experiments, leveraging advanced classification and clustering algorithms, allow for a deep dive into the cellular processes. However, while these approaches effectively identify patterns and trends within data, they often need to improve in elucidating the causal mechanisms behind these changes. Building on this foundation, our study introduces a novel algorithm for temporal causal signaling modeling, integrating established knowledge networks with sequential gene expression data to elucidate signal transduction pathways over time. Focusing on Escherichia coli's (E. coli) aerobic to anaerobic transition (AAT), this research marks a significant leap in understanding the organism's metabolic shifts. By applying our algorithm to a comprehensive E. coli regulatory network and a time-series microarray dataset, we constructed the cross-time point core signaling and regulatory processes of E. coli's AAT. Through gene expression analysis, we validated the primary regulatory interactions governing this process. We identified a novel regulatory scheme wherein environmentally responsive genes, soxR and oxyR, activate fur, modulating the nitrogen metabolism regulators fnr and nac. This regulatory cascade controls the stress regulators ompR and lrhA, ultimately affecting the cell motility gene flhD, unveiling a novel regulatory axis that elucidates the complex regulatory dynamics during the AAT process. Our approach, merging empirical data with prior knowledge, represents a significant advance in modeling cellular signaling processes, offering a deeper understanding of microbial physiology and its applications in biotechnology.

MethHC 2.0: information repository of DNA methylation and gene expression in human cancer.

DNA methylation is an important epigenetic regulator in gene expression and has several roles in cancer and disease progression. MethHC version 2.0 (MethHC 2.0) is an integrated and web-based resource focusing on the aberrant methylomes of human diseases, specifically cancer. This paper presents an updated implementation of MethHC 2.0 by incorporating additional DNA methylomes and transcriptomes from several public repositories, including 33 human cancers, over 50 118 microarray and RNA sequencing data from TCGA and GEO, and accumulating up to 3586 manually curated data from >7000 collected published literature with experimental evidence. MethHC 2.0 has also been equipped with enhanced data annotation functionality and a user-friendly web interface for data presentation, search, and visualization. Provided features include clinical-pathological data, mutation and copy number variation, multiplicity of information (gene regions, enhancer regions, and CGI regions), and circulating tumor DNA methylation profiles, available for research such as biomarker panel design, cancer comparison, diagnosis, prognosis, therapy study and identifying potential epigenetic biomarkers. MethHC 2.0 is now available at http://awi.cuhk.edu.cn/∼MethHC.

First report of powdery mildew on Euonymus japonicus caused by Erysiphe euonymicola in Taiwan.

The Japanese spindle (Euonymus japonicus Thunb.) is commonly used as an ornamental hedge plant in Taiwan. In March 2020, a severe powdery mildew disease was observed on E. japonicus surrounding a city park spanning six hectares in Taichung city, Taiwan. Around 90% of the plants showed symptoms on the leaves and pedicels of young shoots. Similar symptoms were observed in other districts of Taichung city and Taipei city between March to June in subsequent years. Initial signs of infection manifest as circular chlorotic spots on the leaves, which are subsequently covered by white mycelia on either the upper or lower surfaces of the spots. In severe cases, both sides of the leaves become entirely covered by dense mycelia. Hyphal appressoria were solitary or in opposite paired, lobed to multilobed. Conidiophores grow erectly from the hyphae, consist of 2-3 cylindrical cells, 38.9 to 78.6 × 6.31 to 8.28 µm (n = 30). Foot cells are usually straight or slightly flexuous, 23.6 to 43.2 µm (n = 30), followed by 1 to 2 shorter cells. Ellipsoidal conidia are produced singly on the conidiophores, 24.1 to 36.3 × 10.6 to 14.97 µm (n = 30), without fibrosin bodies. Germ tubes are mostly subterminal, sometimes terminal, occasionally exhibiting a longitudinal pattern. Chasmothecia were not observed. These morphological characteristics correspond to the description of Erysiphe euonymicola U. Braun (Braun and Cook 2012), one of the Erysiphe species reported on E. japonicus. Genomic DNA was extracted from seven isolates obtained from different plants in the affected regions. The internal transcribed spacer (ITS) and 28S large subunit (LSU) of rDNA sequences (ITS accession nos.: OR073423-OR073429; LSU accession nos.: OR073448-OR073454) were amplified and sequenced using primer sets PMITS-1 / PMITS-2 (Cunnington et al. 2003) and NLP2 / PRM2 (Bradshaw and Tobin 2020), respectively. The resulting sequences exhibited identities ranging from 99.1 to 100% in ITS and 100% in LSU when compared to the corresponding sequences of E. euonymicola MUMH 133 (ITS: AB250228; LSU: AB250230) (Limkaisang et al. 2006). Phylogenetic analysis based on the concatenated sequences of ITS and LSU clustered the seven isolates within the same clade as three E. euonymicola isolates (MUMH 133, MUMH 6999 and MUMH 7012). Pathogenicity assays were conducted on one-meter tall E. japonicus plants by gently smearing infected leaves on all leaves of four healthy plants. Four uninoculated plants were used as control. All eight assayed plants were enclosed in plastic bags to maintain high humidity at 28 ± 2°C for 3 days. Chlorotic spots began to appear on leaves younger than one month old at 7 days post inoculation (dpi). By 28 dpi, all inoculated plants showed symptoms. Spots expanded or merged and formed a dense mycelial layer on leaves younger than three months, while mature dark green leaves were asymptomatic. No symptoms were observed on any leaves of the control plants. The morphological characteristics and sequences of ITS and LSU of the pathogen from the inoculated plants matched the above information. Based on these findings, E. euonymicola was identified as the causal agent of powdery mildew on E. japonicus, representing the first documented report of this disease in Taiwan. A voucher specimen TNM F0037001 (isolate EPM-1) was deposited in the National Museum of Natural Science, Taiwan. The pathogen has been frequently reported in recent years and significantly impacts the ornamental value of Euonymus spp. (Abbasi and Braun 2020; Lee et al. 2015; Li et al. 2011; Pei et al. 2022). This report also provides an evidence of an ongoing outbreak of the pathogen.

A Robust Drug-Target Interaction Prediction Framework with Capsule Network and Transfer Learning.

Drug-target interactions (DTIs) are considered a crucial component of drug design and drug discovery. To date, many computational methods were developed for drug-target interactions, but they are insufficiently informative for accurately predicting DTIs due to the lack of experimentally verified negative datasets, inaccurate molecular feature representation, and ineffective DTI classifiers. Therefore, we address the limitations of randomly selecting negative DTI data from unknown drug-target pairs by establishing two experimentally validated datasets and propose a capsule network-based framework called CapBM-DTI to capture hierarchical relationships of drugs and targets, which adopts pre-trained bidirectional encoder representations from transformers (BERT) for contextual sequence feature extraction from target proteins through transfer learning and the message-passing neural network (MPNN) for the 2-D graph feature extraction of compounds to accurately and robustly identify drug-target interactions. We compared the performance of CapBM-DTI with state-of-the-art methods using four experimentally validated DTI datasets of different sizes, including human (Homo sapiens) and worm (Caenorhabditis elegans) species datasets, as well as three subsets (new compounds, new proteins, and new pairs). Our results demonstrate that the proposed model achieved robust performance and powerful generalization ability in all experiments. The case study on treating COVID-19 demonstrates the applicability of the model in virtual screening.

Effects of Natural Products on Enzymes Involved in Ferroptosis: Regulation and Implications.

Ferroptosis is a form of regulated cell death that is characterized by the accumulation of iron-dependent lipid peroxides. The regulation of ferroptosis involves both non-enzymatic reactions and enzymatic mechanisms. Natural products have demonstrated potential effects on various enzymes, including GPX4, HO-1, NQO1, NOX4, GCLC, and GCLM, which are mainly involved in glutathione metabolic pathway or oxidative stress regulation, and ACSL3 and ACSL4, which mainly participate in lipid metabolism, thereby influencing the regulation of ferroptosis. In this review, we have provided a comprehensive overview of the existing literature pertaining to the effects of natural products on enzymes involved in ferroptosis and discussed their potential implications for the prevention and treatment of ferroptosis-related diseases. We also highlight the potential challenge that the majority of research has concentrated on investigating the impact of natural products on the expression of enzymes involving ferroptosis while limited attention is given to the regulation of enzyme activity. This observation underscores the considerable potential and scope for exploring the influence of natural products on enzyme activity.

Reversal of pancreatic desmoplasia by a tumour stroma-targeted nitric oxide nanogel overcomes TRAIL resistance in pancreatic tumours.

OBJECTIVE: Stromal barriers, such as the abundant desmoplastic stroma that is characteristic of pancreatic ductal adenocarcinoma (PDAC), can block the delivery and decrease the tumour-penetrating ability of therapeutics such as tumour necrosis factor-related apoptosis-inducing ligand (TRAIL), which can selectively induce cancer cell apoptosis. This study aimed to develop a TRAIL-based nanotherapy that not only eliminated the extracellular matrix barrier to increase TRAIL delivery into tumours but also blocked antiapoptotic mechanisms to overcome TRAIL resistance in PDAC. DESIGN: Nitric oxide (NO) plays a role in preventing tissue desmoplasia and could thus be delivered to disrupt the stromal barrier and improve TRAIL delivery in PDAC. We applied an in vitro-in vivo combinatorial phage display technique to identify novel peptide ligands to target the desmoplastic stroma in both murine and human orthotopic PDAC. We then constructed a stroma-targeted nanogel modified with phage display-identified tumour stroma-targeting peptides to co-deliver NO and TRAIL to PDAC and examined the anticancer effect in three-dimensional spheroid cultures in vitro and in orthotopic PDAC models in vivo. RESULTS: The delivery of NO to the PDAC tumour stroma resulted in reprogramming of activated pancreatic stellate cells, alleviation of tumour desmoplasia and downregulation of antiapoptotic BCL-2 protein expression, thereby facilitating tumour penetration by TRAIL and substantially enhancing the antitumour efficacy of TRAIL therapy. CONCLUSION: The co-delivery of TRAIL and NO by a stroma-targeted nanogel that remodels the fibrotic tumour microenvironment and suppresses tumour growth has the potential to be translated into a safe and promising treatment for PDAC.

miRTarBase 2020: updates to the experimentally validated microRNA-target interaction database.

MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up- and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http://miRTarBase.cuhk.edu.cn/.

The effect of a multidisciplinary lifestyle modification program for obese and overweight children.

BACKGROUND/PURPOSE: The increasing prevalence of overweight and obese children and adolescents has been recognized as a public health threat worldwide. This study aimed to assess the effect of a stepwise lifestyle intervention in children and adolescents. METHODS: We developed a multidisciplinary clinic aimed at providing lifestyle interventions for obese children and adolescents. The program comprised three stages with stepwise goals: knowledge building (the first 4 weeks), habit consolidation (5-12 weeks), and self-monitoring (13-20 weeks). RESULTS: Of the 63 participants (age 11.6 ± 3.2 years) who entered the first stage of the program, 48, 22, and 15 completed the first, second and third stages (4, 12, and 20 weeks), respectively. In the first stage, significant improvement was noted in body weight, body mass index (BMI), BMI z-score, and waist circumference. Improvements in physical fitness performance were observed at 4 weeks in 3/5 items and at 12 weeks in 4/5 items. The decreases in body weight, BMI and BMI z-score were most prominent in the first two stages. In the third stage, participants maintained a stable body weight. In the 15 subjects who completed the whole program, BMI decreased from 29.3 ± 6.9 to 27.8 ± 6.1 (P = 0.001), and BMI z-score decreased from 3.06 ± 0.96 to 2.69 ± 0.91(P = 0.001). CONCLUSION: We developed a feasible multidisciplinary program based on knowledge education and individualized training. BMI and physical fitness scores can be used as early indicators of lifestyle change for obese children and adolescents.

Enzyme Activity of Natural Products on Cytochrome P450.

Drug-metabolizing enzymes, particularly the cytochrome P450 (CYP450) monooxygenases, play a pivotal role in pharmacokinetics. CYP450 enzymes can be affected by various xenobiotic substrates, which will eventually be responsible for most metabolism-based herb-herb or herb-drug interactions, usually involving competition with another drug for the same enzyme binding site. Compounds from herbal or natural products are involved in many scenarios in the context of such interactions. These interactions are decisive both in drug discovery regarding the synergistic effects, and drug application regarding unwanted side effects. Herein, this review was conducted as a comprehensive compilation of the effects of herbal ingredients on CYP450 enzymes. Nearly 500 publications reporting botanicals' effects on CYP450s were collected and analyzed. The countries focusing on this topic were summarized, the identified herbal ingredients affecting enzyme activity of CYP450s, as well as methods identifying the inhibitory/inducing effects were reviewed. Inhibitory effects of botanicals on CYP450 enzymes may contribute to synergistic effects, such as herbal formulae/prescriptions, or lead to therapeutic failure, or even increase concentrations of conventional medicines causing serious adverse events. Conducting this review may help in metabolism-based drug combination discovery, and in the evaluation of the safety profile of natural products used therapeutically.

Perceived COVID-19-related stress drives home gardening intentions and improves human health in Taiwan.

The COVID-19 pandemic has added a layer of mental health problems and perceived stress. Home gardening is considered a good method to reduce perceived stress. The current research evidence is insufficient to understand the relationship and influencing factors between the intentions, behaviors, and benefits of home gardening during short-term COVID-19 events. Although the duration from the onset to stabilization of the outbreak lasted for only 1.5 months from May to June 2021 throughout Taiwan, the significant pandemic changes might have affected the perceived stress along with the intentions, behaviors, and benefits of home gardening. This study explored the relationship between pandemic stress and home gardening through online snowball sampling because of the strict social distancing regulations. A total of 1455 non-follow-up and internet questionnaires throughout Taiwan were collected during the wave onset, peak, easing, and stabilization stages. The questionnaire included questions on personal information, perceived pandemic stress, gardening intentions, gardening behaviors, and gardening benefits. This study showed that perceived stress increased from the pandemic onset to its peak, and decreased from the peak to stabilization stages. Home gardening intentions and behaviors also revealed similar trends. Higher pandemic-perceived stress directly increased home-gardening intentions and indirectly promoted home-gardening behaviors and benefits. Our findings indicated that home gardening is a positive element in reducing perceived stress. Lower gardening intentions and behaviors were observed when the high perceived stress was removed. This study suggests that home gardening was a valuable strategy for staying close to nature and obtaining multiple benefits during the peak pandemic period. Providing small-scale gardening activities and spaces is appropriate for obtaining gardening benefits and avoiding space abandonment after the pandemic. Providing seeds, seedlings, tools, knowledge, online home gardening programs, and small residential and food gardens is a valuable strategy for obtaining multiple benefits during the peak of the pandemic.

Association of sugary drink consumption with all-cause and cause-specific mortality: the Japan Public Health Center-based Prospective Study.

BACKGROUND: Few epidemiologic studies have assessed the associations of sugary drink consumption with mortality outcomes among Asian populations. METHODS: This study included 70,486 participants in the Japan Public Health Center-based Prospective Study at the age of 45-74 years in 1995-1999. A validated food frequency questionnaire was used to assess the consumption of sugary drinks. We estimated the risk of total and cause-specific mortality associated with sugary drink consumption using Cox proportional hazards regression model. RESULTS: Mean follow-up was 17.1 years, during which 11,811 deaths were documented. Sugary drink consumption was associated with higher total mortality, with multivariate HR of 1.06 (95% CI 1.00-1.13) for quintile 3, 1.07 (95% CI 1.01-1.13) for quintile 4, and 1.15 (95% CI 1.09-1.22) for quintile 5, compared with quintile 1 (P < 0.001 for trend). Additionally, positive associations with cause-specific mortality were observed, including death from circulatory system diseases (quintile 5 vs quintile 1; HR, 1.23; 95% CI 1.09-1.38) and heart disease (quintile 5 vs quintile 1; HR, 1.35; 95% CI 1.14-1.60). CONCLUSION: In this large Japanese prospective study, sugary drink consumption was associated with all-cause and cause-specific mortality.

Dietary glycemic index, glycemic load and mortality: Japan Public Health Center-based prospective study.

PURPOSE: Long-term associations of dietary glycemic index (GI) and glycemic load (GL) with mortality outcomes remain unclear. METHODS: The present analysis included 72,783 participants of the Japan Public Health Center-based Prospective Study. Participants who responded to the 5-year follow-up questionnaire in 1995-1999 were followed-up until December 2015. We estimated the risk of total and cause-specific mortality associated with GI and GL using Cox proportional hazards regression models. RESULTS: During 1,244,553 person years of follow-up, 7535 men and 4913 women died. GI was positively associated with all-cause mortality. As compared with the lowest quartile, the multivariable HR for those who had the highest quartile of GI was 1.14 (95% CI 1.08-1.20). The HRs for death comparing the highest with the lowest quartile were 1.28 (95% CI 1.14-1.42) for circulatory system diseases, 1.33 (95% CI 1.14-1.55) for heart disease, 1.32 (95% CI 1.11-1.57) for cerebrovascular disease, and 1.45 (95% CI 1.18-1.78) for respiratory diseases. GI was not associated with mortality risks of cancer and digestive diseases. GL showed a null association with all-cause mortality (highest vs lowest quartile; HR 1.04; 95% CI 0.96-1.12). However, among those who had the highest quartile of GL, the HRs for death from circulatory system diseases was 1.24 (95% CI 1.05-1.46), cerebrovascular disease was 1.34 (95% CI 1.03-1.74), and respiratory diseases was 1.35 (95% CI 1.00-1.82), as compared with the lowest quartile. CONCLUSION: In this large prospective cohort study, dietary GI and GL were associated with mortality risks.