Antiviral drug recognition and elevator-type transport motions of CNT3.

Nucleoside analogs have broad clinical utility as antiviral drugs. Key to their systemic distribution and cellular entry are human nucleoside transporters. Here, we establish that the human concentrative nucleoside transporter 3 (CNT3) interacts with antiviral drugs used in the treatment of coronavirus infections. We report high-resolution single-particle cryo-electron microscopy structures of bovine CNT3 complexed with antiviral nucleosides N4-hydroxycytidine, PSI-6206, GS-441524 and ribavirin, all in inward-facing states. Notably, we found that the orally bioavailable antiviral molnupiravir arrests CNT3 in four distinct conformations, allowing us to capture cryo-electron microscopy structures of drug-loaded outward-facing and drug-loaded intermediate states. Our studies uncover the conformational trajectory of CNT3 during membrane transport of a nucleoside analog antiviral drug, yield new insights into the role of interactions between the transport and the scaffold domains in elevator-like domain movements during drug translocation, and provide insights into the design of nucleoside analog antiviral prodrugs with improved oral bioavailability.

PharmGWAS: a GWAS-based knowledgebase for drug repurposing.

Leveraging genetics insights to promote drug repurposing has become a promising and active strategy in pharmacology. Indeed, among the 50 drugs approved by FDA in 2021, two-thirds have genetically supported evidence. In this regard, the increasing amount of widely available genome-wide association studies (GWAS) datasets have provided substantial opportunities for drug repurposing based on genetics discoveries. Here, we developed PharmGWAS, a comprehensive knowledgebase designed to identify candidate drugs through the integration of GWAS data. PharmGWAS focuses on novel connections between diseases and small-molecule compounds derived using a reverse relationship between the genetically-regulated expression signature and the drug-induced signature. Specifically, we collected and processed 1929 GWAS datasets across a diverse spectrum of diseases and 724 485 perturbation signatures pertaining to a substantial 33609 molecular compounds. To obtain reliable and robust predictions for the reverse connections, we implemented six distinct connectivity methods. In the current version, PharmGWAS deposits a total of 740 227 genetically-informed disease-drug pairs derived from drug-perturbation signatures, presenting a valuable and comprehensive catalog. Further equipped with its user-friendly web design, PharmGWAS is expected to greatly aid the discovery of novel drugs, the exploration of drug combination therapies and the identification of drug resistance or side effects. PharmGWAS is available at https://ngdc.cncb.ac.cn/pharmgwas.

A bacterial-like Pictet-Spenglerase drives the evolution of fungi to produce ß-carboline glycosides together with separate genes.

Diverse ß-carboline (ßC) alkaloids are produced by microbes, plants, and animals with myriad bioactivities and drug potentials. However, the biosynthetic mechanism of ßCs remains largely elusive, especially regarding the hydroxyl and glucosyl modifications of ßCs. Here, we report the presence of the bacterial-like Pictet-Spenglerase gene Fcs1 in the entomopathogenic Beauveria fungi that can catalyze the biosynthesis of the ßC skeleton. The overexpression of Fcs1 in Beauveria bassiana led to the identification of six ßC methyl glycosides, termed bassicarbosides (BCSs) A-F. We verified that the cytochrome P450 (CYP) genes adjacent to Fcs1 cannot oxidize ßCs. Alternatively, the separated CYP684B2 family gene Fcs2 was identified to catalyze ßC hydroxylation together with its cofactor gene Fcs3. The functional homologue of Fcs2 is only present in the Fcs1-containing fungi and highly similar to the Fcs1-connected yet nonfunctional CYP. Both evolved quicker than those from fungi without Fcs1 homologues. Finally, the paired methyl/glucosyl transferase genes were verified to mediate the production of BCSs from hydroxy-ßCs. All these functionally verified genes are located on different chromosomes of Beauveria, which is in contrast to the typical content-clustered feature of fungal biosynthetic gene clusters (BGCs). We also found that the production of BCSs selectively contributed to fungal infection of different insect species. Our findings shed light on the biosynthetic mechanism of ßC glycosides, including the identification of a ßC hydroxylase. The results of this study also propose an evolving process of fungal BGC formation following the horizontal transfer of a bacterial gene to fungi.

Glycosyl transferase GT2 genes mediate the biosynthesis of an unusual (1,3;1,4)-ß-glucan exopolysaccharide in the bacterium Sarcina ventriculi.

Linear, unbranched (1,3;1,4)-ß-glucans (mixed-linkage glucans or MLGs) are commonly found in the cell walls of grasses, but have also been detected in basal land plants, algae, fungi and bacteria. Here we show that two family GT2 glycosyltransferases from the Gram-positive bacterium Sarcina ventriculi are capable of synthesizing MLGs. Immunotransmission electron microscopy demonstrates that MLG is secreted as an exopolysaccharide, where it may play a role in organizing individual cells into packets that are characteristic of Sarcina species. Heterologous expression of these two genes shows that they are capable of producing MLGs in planta, including an MLG that is chemically identical to the MLG secreted from S. ventriculi cells but which has regularly spaced (1,3)-ß-linkages in a structure not reported previously for MLGs. The tandemly arranged, paralogous pair of genes are designated SvBmlgs1 and SvBmlgs2. The data indicate that MLG synthases have evolved different enzymic mechanisms for the incorporation of (1,3)-ß- and (1,4)-ß-glucosyl residues into a single polysaccharide chain. Amino acid variants associated with the evolutionary switch from (1,4)-ß-glucan (cellulose) to MLG synthesis have been identified in the active site regions of the enzymes. The presence of MLG synthesis in bacteria could prove valuable for large-scale production of MLG for medical, food and beverage applications.

Direct identification of A-to-I editing sites with nanopore native RNA sequencing.

Inosine is a prevalent RNA modification in animals and is formed when an adenosine is deaminated by the ADAR family of enzymes. Traditionally, inosines are identified indirectly as variants from Illumina RNA-sequencing data because they are interpreted as guanosines by cellular machineries. However, this indirect method performs poorly in protein-coding regions where exons are typically short, in non-model organisms with sparsely annotated single-nucleotide polymorphisms, or in disease contexts where unknown DNA mutations are pervasive. Here, we show that Oxford Nanopore direct RNA sequencing can be used to identify inosine-containing sites in native transcriptomes with high accuracy. We trained convolutional neural network models to distinguish inosine from adenosine and guanosine, and to estimate the modification rate at each editing site. Furthermore, we demonstrated their utility on the transcriptomes of human, mouse and Xenopus. Our approach expands the toolkit for studying adenosine-to-inosine editing and can be further extended to investigate other RNA modifications.

CXCR3-CXCL11 Signaling Restricts Angiogenesis and Promotes Pericyte Recruitment.

BACKGROUND: Endothelial cell (EC)-pericyte interactions are known to remodel in response to hemodynamic forces; yet there is a lack of mechanistic understanding of the signaling pathways that underlie these events. Here, we have identified a novel signaling network regulated by blood flow in ECs-the chemokine receptor CXCR3 (CXC motif chemokine receptor 3) and one of its ligands, CXCL11 (CXC motif chemokine ligand 11)-that delimits EC angiogenic potential and promotes pericyte recruitment to ECs during development. METHODS: We investigated the role of CXCR3 on vascular development using both 2- and 3-dimensional in vitro assays, to study EC-pericyte interactions and EC behavioral responses to blood flow. Additionally, genetic mutants and pharmacological modulators were used in zebra fish in vivo to study the impacts of CXCR3 loss and gain of function on vascular development. RESULTS: In vitro modeling of EC-pericyte interactions demonstrates that suppression of EC-specific CXCR3 signaling leads to loss of pericyte association with EC tubes. In vivo, phenotypic defects are particularly noted in the cranial vasculature, where we see a loss of pericyte association with ECs and expansion of the vasculature in zebra fish treated with the Cxcr3 inhibitor AMG487 or in homozygous cxcr3.1/3.2/3.3 triple mutants. We also demonstrate that CXCR3-deficient ECs are more elongated, move more slowly, and have impaired EC-EC junctions compared with their control counterparts. CONCLUSIONS: Our results suggest that CXCR3 signaling in ECs helps promote vascular stabilization events during development by preventing EC overgrowth and promoting pericyte recruitment.

Current View of Ligand and Lipid Recognition by the Menthol Receptor TRPM8.

Transient receptor potential (TRP) melastatin member 8 (TRPM8), which is a calcium-permeable ion channel, functions as the primary molecular sensor of cold and menthol in humans. Recent cryoelectron microscopy (cryo-EM) studies of TRPM8 have shown distinct structural features in its architecture and domain assembly compared with the capsaicin receptor TRP vanilloid member 1 (TRPV1). Moreover, ligand-bound TRPM8 structures have uncovered unforeseen binding sites for both cooling agonists and membrane lipid phosphatidylinositol 4,5-bisphosphate [PI(4,5)P2]. These complex structures unveil the molecular basis of cooling agonist sensing by TRPM8 and the allosteric role of PI(4,5)P2 in agonist binding for TRPM8 activation. Here, we review the recent advances in TRPM8 structural biology and investigate the molecular principles governing the distinguishing role of TRPM8 as the evolutionarily conserved menthol receptor.

Myelin repair of spinal cord injury in adult mice induced by treadmill training upregulated peroxisome proliferator-activated receptor gamma coactivator 1 alpha.

Growing evidence has proven the efficacy of physical exercise in remyelination and motor function performance after spinal cord injury (SCI). However, the molecular mechanisms of treadmill training on myelin repair and functional recovery after SCI have not yet been fully studied. Here, we explored the effect of treadmill training on upregulating peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC1α)-mediated myelin repair and functional recovery in a mouse model of thoracic T10 contusion injury. A 4-week treadmill training scheme was conducted on mice with SCI. The expression levels of oligodendrogenesis-related protein and PGC1α were detected by immunofluorescence, RNA fluorescence in situ hybridization and western blotting. Transmission electron microscopy (TEM) was used to observe myelin structure. The Basso Mouse Scale (BMS) and CatWalk automated gait analysis system were used for motor function recovery evaluation. Motor evoked potentials (MEPs) were also identified. In addition, adeno-associated virus (AAV)-mediated PGC1α knockdown in OLs was used to further unravel the role of PGC1α in exercise-induced remyelination. We found that treadmill training boosts oligodendrocyte precursor cells (OPCs) proliferation, potentiates oligodendrocytes (OLs) maturation, and increases myelin-related protein and myelin sheath thickness, thus impelling myelin repair and hindlimb functional performance as well as the speed and amplitude of nerve conduction after SCI. Additionally, downregulating PGC1α through AAV attenuated these positive effects of treadmill training. Collectively, our results suggest that treadmill training enhances remyelination and functional recovery by upregulating PGC1α, which should provide a step forward in the understanding of the effects of physical exercise on myelin repair.

Angiogenesis is limited by LIC1-mediated lysosomal trafficking.

Dynein cytoplasmic 1 light intermediate chain 1 (LIC1, DYNC1LI1) is a core subunit of the dynein motor complex. The LIC1 subunit also interacts with various cargo adaptors to regulate Rab-mediated endosomal recycling and lysosomal degradation. Defects in this gene are predicted to alter dynein motor function, Rab binding capabilities, and cytoplasmic cargo trafficking. Here, we have identified a dync1li1 zebrafish mutant, harboring a premature stop codon at the exon 12/13 splice acceptor site, that displays increased angiogenesis. In vitro, LIC1-deficient human endothelial cells display increases in cell surface levels of the pro-angiogenic receptor VEGFR2, SRC phosphorylation, and Rab11-mediated endosomal recycling. In vivo, endothelial-specific expression of constitutively active Rab11a leads to excessive angiogenesis, similar to the dync1li1 mutants. Increased angiogenesis is also evident in zebrafish harboring mutations in rilpl1/2, the adaptor proteins that promote Rab docking to Lic1 to mediate lysosomal targeting. These findings suggest that LIC1 and the Rab-adaptor proteins RILPL1 and 2 restrict angiogenesis by promoting degradation of VEGFR2-containing recycling endosomes. Disruption of LIC1- and RILPL1/2-mediated lysosomal targeting increases Rab11-mediated recycling endosome activity, promoting excessive SRC signaling and angiogenesis.

FNICM: A New Methodology To Identify Core Metabolites Based on Significantly Perturbed Metabolic Subnetworks.

Metabolomics has emerged as a powerful tool in biomedical research to understand the pathophysiological processes and metabolic biomarkers of diseases. Nevertheless, it is a significant challenge in metabolomics to identify the reliable core metabolites that are closely associated with the occurrence or progression of diseases. Here, we proposed a new research framework by integrating detection-based metabolomics with computational network biology for function-guided and network-based identification of core metabolites, namely, FNICM. The proposed FNICM methodology is successfully utilized to uncover ulcerative colitis (UC)-related core metabolites based on the significantly perturbed metabolic subnetwork. First, seed metabolites were screened out using prior biological knowledge and targeted metabolomics. Second, by leveraging network topology, the perturbations of the detected seed metabolites were propagated to other undetected ones. Ultimately, 35 core metabolites were identified by controllability analysis and were further hierarchized into six levels based on confidence level and their potential significance. The specificity and generalizability of the discovered core metabolites, used as UC's diagnostic markers, were further validated using published data sets of UC patients. More importantly, we demonstrated the broad applicability and practicality of the FNICM framework in different contexts by applying it to multiple clinical data sets, including inflammatory bowel disease, colorectal cancer, and acute coronary syndrome. In addition, FNICM was also demonstrated as a practicality methodology to identify core metabolites correlated with the therapeutic effects of Clematis saponins. Overall, the FNICM methodology is a new framework for identifying reliable core metabolites for disease diagnosis and drug treatment from a systemic and a holistic perspective.

Gene expression imputation and cell-type deconvolution in human brain with spatiotemporal precision and its implications for brain-related disorders.

As the most complex organ of the human body, the brain is composed of diverse regions, each consisting of distinct cell types and their respective cellular interactions. Human brain development involves a finely tuned cascade of interactive events. These include spatiotemporal gene expression changes and dynamic alterations in cell-type composition. However, our understanding of this process is still largely incomplete owing to the difficulty of brain spatiotemporal transcriptome collection. In this study, we developed a tensor-based approach to impute gene expression on a transcriptome-wide level. After rigorous computational benchmarking, we applied our approach to infer missing data points in the widely used BrainSpan resource and completed the entire grid of spatiotemporal transcriptomics. Next, we conducted deconvolutional analyses to comprehensively characterize major cell-type dynamics across the entire BrainSpan resource to estimate the cellular temporal changes and distinct neocortical areas across development. Moreover, integration of these results with GWAS summary statistics for 13 brain-associated traits revealed multiple novel trait-cell-type associations and trait-spatiotemporal relationships. In summary, our imputed BrainSpan transcriptomic data provide a valuable resource for the research community and our findings help further studies of the transcriptional and cellular dynamics of the human brain and related diseases.

p53/E2F7 axis promotes temozolomide chemoresistance in glioblastoma multiforme.

BACKGROUND: Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer, and chemoresistance poses a significant challenge to the survival and prognosis of GBM. Although numerous regulatory mechanisms that contribute to chemoresistance have been identified, many questions remain unanswered. This study aims to identify the mechanism of temozolomide (TMZ) resistance in GBM. METHODS: Bioinformatics and antibody-based protein detection were used to examine the expression of E2F7 in gliomas and its correlation with prognosis. Additionally, IC50, cell viability, colony formation, apoptosis, doxorubicin (Dox) uptake, and intracranial transplantation were used to confirm the role of E2F7 in TMZ resistance, using our established TMZ-resistance (TMZ-R) model. Western blot and ChIP experiments provided confirmation of p53-driven regulation of E2F7. RESULTS: Elevated levels of E2F7 were detected in GBM tissue and were correlated with a poor prognosis for patients. E2F7 was found to be upregulated in TMZ-R tumors, and its high levels were linked to increased chemotherapy resistance by limiting drug uptake and decreasing DNA damage. The expression of E2F7 was also found to be regulated by the activation of p53. CONCLUSIONS: The high expression of E2F7, regulated by activated p53, confers chemoresistance to GBM cells by inhibiting drug uptake and DNA damage. These findings highlight the significant connection between sustained p53 activation and GBM chemoresistance, offering the potential for new strategies to overcome this resistance.

Strategies for improving fengycin production: a review.

Fengycin is an important member of the lipopeptide family with a wide range of applications in the agricultural, food, medical and cosmetic industries. However, its commercial application is severely hindered by low productivity and high cost. Therefore, numerous studies have been devoted to improving the production of fengycin. We summarize these studies in this review with the aim of providing a reference and guidance for future researchers. This review begins with an overview of the synthesis mechanism of fengycin via the non-ribosomal peptide synthetases (NRPS), and then delves into the strategies for improving the fengycin production in recent years. These strategies mainly include fermentation optimization and metabolic engineering, and the metabolic engineering encompasses enhancement of precursor supply, application of regulatory factors, promoter engineering, and application of genome-engineering (genome shuffling and genome-scale metabolic network model). Finally, we conclude this review with a prospect of fengycin production.

Discovery and genomic characterization of three double-stranded RNA viruses coinfecting Conidiobolus taihushanensis.

Conidiobolus sensu lato, a genus within the family Ancylistaceae, encompasses a diverse range of fungal species that are widely distributed in plant debris and soil. In this study, we identified three double-stranded RNA (dsRNA) viruses coinfecting a strain of Conidiobolus taihushanensis. These viruses were identified as Conidiobolus taihushanensis totivirus 1 (CtTV1), Conidiobolus nonsegmented RNA virus 1-2 (CNRV1-2), and Conidiobolus taihushanensis virus 1 (CtV1). Through high-throughput sequencing and RNA-ligase-mediated rapid amplification of cDNA ends (RLM-RACE), we determined their complete genome sequences. The genome of CtTV1 is 6,921 nucleotides in length, containing two open reading frames (ORFs). ORF1 encodes a 1,124-amino-acid capsid protein (CP) with a molecular weight of 125.07 kDa, and ORF2 encodes a 780-amino-acid RNA-dependent RNA polymerase (RdRp) with a molecular weight of 88.05 kDa. CNRV1-2, approximately 3.0 kb in length, also contains two ORFs, which are predicted to encode a 186-amino-acid hypothetical protein (HP) and a 758-amino-acid RdRp. CtV1 has a smaller genome consisting of 3,081 base pairs (bp) with two ORFs: one encoding a 244-amino-acid HP (26.85 kDa) and the other encoding a 707-amino-acid RdRp (80.64 kDa). Phylogenetic analysis based on RdRp sequences revealed that CtTV1 shows the highest similarity to Phytophthora pluvialis RNA virus 1, with 38.79% sequence identity, and clusters with members of the family Orthototiviridae, and it is most closely related to Utsjoki toti-like virus. In contrast, CtV1 formed a unique branch and might represent a new genus. The genome sequence of CNRV1-2 is 99.74% identical to that of the previously described Conidiobolus non-segmented RNA virus 1 (CNRV1). Our findings indicate that CtTV1 and CtV1 are distinct novel viruses, while CNRV1-2 appears to be a variant of CNRV1. This study enhances our understanding of the genetic diversity and evolutionary relationships among mycoviruses associated with C. taihushanensis.

A novel betapartitivirus isolated from Cordyceps militaris, an edible-medicinal mushroom.

In this study, we identified a novel partitivirus, named "Cordyceps militaris partitivirus 1" (CmPV1), in Cordyceps militaris strain RCEF7506. The complete genome of CmPV1 comprises two segments, dsRNA1 and dsRNA2, each encoding a single protein. dsRNA1 (2,206 bp) encodes an RNA-dependent RNA polymerase (RdRp), and dsRNA2 (2,256 bp) encodes a coat protein (CP). Sequence analysis revealed that dsRNA1 has the highest similarity to that of Bipolaris maydis partitivirus 2 (BmPV2), whereas dsRNA2 shows the highest similarity to human blood-associated partitivirus (HuBPV). Phylogenetic analysis based on RdRp sequences suggests that CmPV1 is a new member of the genus Betapartitivirus of the family Partitiviridae. This is the first documentation of a betapartitivirus infecting the entomopathogenic fungus C. militaris.

CeDR Atlas: a knowledgebase of cellular drug response.

Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects.

Effect of hemodialysis on left atrial function in patients with end-stage renal failure evaluated by two-dimensional speckle tracking imaging.

OBJECTIVE: We sought to evaluate the left atrial (LA) strain parameters of maintenance hemodialysis (MHD) patients before and after dialysis by two dimensional speckle tracking imaging (2D-STI), and to explore the effect of volume load change on LA function. METHODS: Seventy-six patients with end stage renal disease (ESRD) on hemodialysis (HD) were enrolled in the study protocol. The median duration of dialysis was 24.0 (7.5, 59.5) months. In addition, 30 healthy subjects were selected as control group. Comprehensive echocardiography was performed immediately before and after hemodialysis to compare the changes in left atrial function. RESULTS: Regarding LA strain parameters in patients of pre-HD, the median (25th, 75th) LA reservoir, LA conduit, and LA contractile reserve were 28.0 (23.0, 34.5), -15.5 (-10.0, -21.5), -12.0 (-9.0, -16.0) respectively; the post-HD were 26.0 (21.0, 29.0), -12.0 (-9, -15.5), -12.5 (-9, -15.5) respectively; and controls were 43.0 (36.0, 48.0), -24.0 (-18.0, -32.0), -17.0 (-15.0, -22.0) respectively. The left atrial strain parameters before HD were lower than controls, the differences were statistically significant, the p-value were .000, .025, and .000, respectively. The reservoir function and conduit function of LA strain decreased after hemodialysis, the differences were statistically significant, the p-value were .003 and .006, respectively. Regarding the contraction of LA, the differences between pre- and post-HD were not statistically significant (p = .965). CONCLUSION: Hemodialysis removes excess water in human body, while LVGLS and Doppler parameters are greatly affected by reduced preload. New echocardiographic parameters, such as left atrial strain, can quantitatively evaluate the changes in left atrial function before and after hemodialysis in ESRD patients, which can provide valuable information for the overall cardiac evaluation in this specific population.

Effects of transitional care interventions on quality of life in people with lung cancer: A systematic review and meta-analysis.

AIM: To identify and appraise the quality of evidence of transitional care interventions on quality of life in lung cancer patients. BACKGROUND: Quality of life is a strong predictor of survival. The transition from hospital to home is a high-risk period for patients' readmission and death, which seriously affect their quality of life. DESIGN: Systematic review and meta-analysis. METHODS: The PubMed, Embase, Cochrane Library, Web of Science and CINAHL databases were searched from inception to 22 October 2022. The primary outcome was quality of life. Statistical analysis was conducted using Review Manager 5.4, results were expressed as standard mean difference (SMD) with a 95% confidence interval (CI). The risk of bias of the included studies was assessed using the Cochrane risk of bias assessment tool. This study was complied with PRISMA guidelines and previously registered in PROSPERO (CRD42023429464). RESULTS: Fourteen randomized controlled trials were included consisting of a total of 1700 participants, and 12 studies were included in the meta-analysis. It was found that transitional care interventions significantly improved quality of life (SMD = 0.21, 95% CI: 0.02 to 0.40, p = .03) and helped reduce symptoms (SMD = -0.65, 95% CI: -1.13 to -0.18, p = .007) in lung cancer patients, but did not significantly reduce anxiety and depression, and the effect on self-efficacy was unclear. CONCLUSIONS: This study shows that transitional care interventions can improve quality of life and reduce symptoms in patients, and that primarily educational interventions based on symptom management theory appeared to be more effective. But, there was no statistically significant effect on anxiety and depression. RELEVANCE TO CLINICAL PRACTICE: This study provides references for the application of transitional care interventions in the field of lung cancer care, and encourages nurses and physicians to apply transitional care plans to facilitate patients' safe transition from hospital to home. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

[Modular pharmacology: research progress and development of analysis platform].

Based on the systematic deconstruction of multi-dimensional and multi-target biological networks, modular pharmacology explains the complex mechanism of diseases and the interactions of multi-target drugs. It has made progress in the fields of pathogenesis of disease, biological basis of disease and traditional Chinese medicine(TCM) syndrome, pharmacological mechanism of multi-target herbs, compatibility of formulas, and discovery of new drug of TCM compound. However, the complexity of multi-omics data and biological networks brings challenges to the modular deconstruction and analysis of the drug networks. Here, we constructed the "Computing Platform for Modular Pharmacology" online analysis system, which can implement the function of network construction, module identification, module discriminant analysis, hub-module analysis, intra-module and inter-module relationship analysis, and topological visualization of network based on quantitative expression profiles and protein-protein interaction(PPI) data. This tool provides a powerful tool for the research on complex diseases and multi-target drug mechanisms by means of modular pharmacology. The platform may have broad range of application in disease modular identification and correlation mechanism, interpretation of scientific principles of TCM, analysis of complex mechanisms of TCM and formulas, and discovery of multi-target drugs.

Entropy-Mediated Stable Structural Evolution of Prussian White Cathodes for Long-Life Na-Ion Batteries.

The high-entropy approach is applied to monoclinic Prussian White (PW) Na-ion cathodes to address the issue of unfavorable multilevel phase transitions upon electrochemical cycling, leading to poor stability and capacity decay. A series of Mn-based samples with up to six metal species sharing the N-coordinated positions was synthesized. The material of composition Na1.65 Mn0.4 Fe0.12 Ni0.12 Cu0.12 Co0.12 Cd0.12 [Fe(CN)6 ]0.92 □0.08 ⋅ 1.09H2 O was found to exhibit superior cyclability over medium/low-entropy and conventional single-metal PWs. We also report, to our knowledge for the first time, that a high-symmetry crystal structure may be advantageous for high-entropy PWs during battery operation. Computational comparisons of the formation enthalpy demonstrate that the compositionally less complex materials are prone to phase transitions, which negatively affect cycling performance. Based on data from complementary characterization techniques, an intrinsic mechanism for the stability improvement of the disordered PW structure upon Na+ insertion/extraction is proposed, namely the dual effect of suppression of phase transitions and mitigation of gas evolution.