HortGenome Search Engine, a universal genomic search engine for horticultural crops.

Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows for the querying of genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 500 horticultural crops. In addition, four commonly used tools, including 'BLAST', 'Batch Query', 'Enrichment analysis', and 'Synteny Viewer' have been developed for efficient mining and analysis of these genomic data.

A haplotype-resolved genome assembly of Malus domestica 'Red Fuji'.

The 'Red Fuji' apple (Malus domestica), is one of the most important and popular economic crops worldwide in the fruit industry. Using PacBio HiFi long reads and Hi-C reads, we assembled a high-quality haplotype-resolved genome of 'Red Fuji', with sizes of 668.7 and 668.8 Mb, and N50 sizes of 34.1 and 31.4 Mb. About 97.2% of sequences were anchored in 34 chromosomes. We annotated both haploid genomes, identifying a total of 95,439 protein-coding genes in the two haplotype genomes, with 98% functional annotation. The haplotype-resolved genome of 'Red Fuji' apple stands as a precise benchmark for an array of analyses, such as comparative genomics, transcriptomics, and allelic expression studies. This comprehensive resource is paramount in unraveling variations in allelic expression, advancing quality improvements, and refining breeding efforts.

Regulating epithelial-mesenchymal plasticity from 3D genome organization.

Epithelial-mesenchymal transition (EMT) is a dynamic process enabling polarized epithelial cells to acquire mesenchymal features implicated in development and carcinoma progression. As our understanding evolves, it is clear the reversible execution of EMT arises from complex epigenomic regulation involving histone modifications and 3-dimensional (3D) genome structural changes, leading to a cascade of transcriptional events. This review summarizes current knowledge on chromatin organization in EMT, with a focus on hierarchical structures of the 3D genome and chromatin accessibility changes.

Estrogen-related receptor, a molecular target against lepidoptera pests.

Until recently, chemical pesticides were one of the most effective means of controlling agricultural pests; therefore, the search for insecticide targets for agricultural pests has been an ongoing problem. Estrogen-related receptors (ERRs) are transcription factors that regulate cellular metabolism and energy homeostasis in animals. Silkworms are highly sensitive to chemical pesticides, making them ideal models for pesticide screening and evaluation. In this study, we detected ERR expression in key organs involved in pesticide metabolism in silkworms (Bombyx mori), including the fat body and midgut. Using ChIP-seq technology, many estrogen- related response elements were identified in the 2000-bp promoter region upstream of metabolism-related genes, almost all of which were potential ERR target genes. The ERR inhibitor, XCT-790, and the endocrine disruptor, bisphenol A, significantly inhibited expression of the ERR target genes, BmTreh-1, BmTret-1, BmPK, BmPFK, and BmHK, in the fat bodies of silkworms, resulting in pupation difficulties in silkworm larvae that ultimately lead to death. In addition, based on the clarification that the ERR can bind to XCT-790, as observed through biofilm interferometry, its three-dimensional spatial structure was predicted, and using molecular docking techniques, small-molecule compounds with a stronger affinity for the ERR were identified. In summary, utilizing the powerful metabolic regulatory function of ERR in Lepidoptera pests, the developed small molecule inhibitors of ERR can be used for future control of Lepidoptera pests.

An effective strategy for assembling the sex-limited chromosome.

BACKGROUND: Most currently available reference genomes lack the sequence map of sex-limited (such as Y and W) chromosomes, which results in incomplete assemblies that hinder further research on sex chromosomes. Recent advancements in long-read sequencing and population sequencing have provided the opportunity to assemble sex-limited chromosomes without the traditional complicated experimental efforts. FINDINGS: We introduce the first computational method, Sorting long Reads of Y or other sex-limited chromosome (SRY), which achieves improved assembly results compared to flow sorting. Specifically, SRY outperforms in the heterochromatic region and demonstrates comparable performance in other regions. Furthermore, SRY enhances the capabilities of the hybrid assembly software, resulting in improved continuity and accuracy. CONCLUSIONS: Our method enables true complete genome assembly and facilitates downstream research of sex-limited chromosomes.

Dual p38MAPK and MEK inhibition disrupts adaptive chemoresistance in mesenchymal glioblastoma to temozolomide.

BACKGROUND: Precision treatment of glioblastoma is increasingly focused on molecular subtyping, with the mesenchymal subtype particularly resistant to temozolomide. Here, we aim to develop a targeted therapy for temozolomide resensitization in the mesenchymal subtype. METHODS: We integrated kinomic profiles and kinase inhibitor screens from patient-derived proneural and mesenchymal glioma-propagating cells and public clinical datasets to identify key protein kinases implicated in temozolomide resistance. RNAseq, apoptosis assays, and comet assays were used to examine the role of p38MAPK signaling and adaptive chemoresistance in mesenchymal cells. The efficacy of dual p38MAPK and MEK/ERK inhibition using ralimetinib (selective orally active p38MAPK inhibitor; phase I/II for glioblastoma) and binimetinib (approved MEK1/2 inhibitor for melanoma; phase II for high-grade glioma) in primary and recurrent mesenchymal tumors was evaluated using an intracranial patient-derived tumor xenograft model, focusing on survival analysis. RESULTS: Our transcriptomic-kinomic integrative analysis revealed p38MAPK as the prime target whose gene signature enables patient stratification based on their molecular subtypes and provides prognostic value. Repurposed p38MAPK inhibitors synergize favorably with temozolomide to promote intracellular retention of temozolomide and exacerbate DNA damage. Mesenchymal cells exhibit adaptive chemoresistance to p38MAPK inhibition through a pH-/calcium-mediated MEK/ERK pathway. Dual p38MAPK and MEK inhibition effectively maintain temozolomide sensitivity in primary and recurrent intracranial mesenchymal glioblastoma xenografts. CONCLUSIONS: Temozolomide resistance in mesenchymal glioblastoma is associated with p38MAPK activation. Adaptive chemoresistance in p38MAPK-resistant cells is mediated by MEK/ERK signaling. Adjuvant therapy with dual p38MAPK and MEK inhibition prolongs temozolomide sensitivity, which can be developed into a precision therapy for the mesenchymal subtype.

Chromosomal level genome assemblies of two Malus crabapple cultivars Flame and Royalty.

Malus hybrid 'Flame' and Malus hybrid 'Royalty' are representative ornamental crabapples, rich in flavonoids and serving as the preferred materials for studying the coloration mechanism. We generated two sets of high-quality chromosome-level and haplotype-resolved genome of 'Flame' with sizes of 688.2 Mb and 675.7 Mb, and those of 'Royalty' with sizes of 674.1 Mb and 663.6 Mb, all anchored to 17 chromosomes and with a high BUSCO completeness score nearly 99.0%. A total of 47,833 and 47,307 protein-coding genes were annotated in the two haplotype genomes of 'Flame', and the numbers of 'Royalty' were 46,305 and 46,920 individually. The assembled high-quality genomes offer new resources for studying the origin and adaptive evolution of crabapples and the molecular basis of the accumulation of flavonoids and anthocyanins, facilitating molecular breeding of Malus plants.

Proteotranscriptomic analyses of the midgut and Malpighian tubules after a sublethal concentration of Cry1Ab exposure on Spodoptera litura.

BACKGROUND: Cry1Ab has emerged as a bio-insecticide to control Spodoptera litura (Lepidoptera: Noctuidae). However, the sublethal effects of Cry1Ab on the physiological changes and molecular level of S. litura have not been well documented. Our aims in this study were to assess the sublethal effect of Cry1Ab on S. litura, including midgut and Malpighian tubules as targets. RESULTS: After sublethal Cry1Ab exposure, distinct histological alterations were mainly observed in the midgut. Furthermore, the results of comparative RNA sequencing and tandem mass tag-based proteomics showed that, in the midgut, most differential expression genes (DEGs) were up-regulated and significantly enriched in the serine protease activity pathway, and up-regulated differential expression proteins (DEPs) were mainly associated with the oxidative phosphorylation pathway, whereas the down-regulated involved in the ribosome pathways. In the Malpighian tubules, DEGs and DEPs were significantly enriched in the ribosome pathway. We proposed that ribosome may act as a universal target in energy metabolism with other pathways via the results of protein-protein interaction analysis. Further, by verification of the mRNA expression of some Cry protein receptor and detoxification genes after Cry1Ab treatment, it was suggested that the ribosomal proteins (RPs) possibly participate in influencing the Bt-resistance of S. litura larvae under sublethal Cry1Ab exposure. CONCLUSION: Under sublethal Cry1Ab exposure, the midgut of S. litura was damaged, and the proteotranscriptomic analysis elucidated that Cry1Ab disrupted the energy homeostasis of larvae. Furthermore, we emphasized the potential role of ribosomes in sublethal Cry1Ab exposure. © 2024 Society of Chemical Industry.

The silk gland proteome of Stenopsyche angustata provides insights into the underwater silk secretion.

Caddisworms (Trichoptera) spin adhesive silks to construct a variety of underwater composite structures. Many studies have focused on the fibroin heavy chain of caddisworm silk and found that it contains heavy phosphorylation to maintain a stable secondary structure. Besides fibroins, recent studies have also identified some new silk proteins within caddisworm silk. To better understand the silk composition and its secretion process, this study reports the silk gland proteome of a retreat-building caddisworm, Stenopsyche angustata Martynov (Trichoptera, Stenopsychidae). Using liquid chromatography tandem mass spectrometry (LC-MS/MS), 2389 proteins were identified in the silk gland of S. angustata, among which 192 were predicted as secreted silk proteins. Twenty-nine proteins were found to be enriched in the front silk gland, whereas 109 proteins were enriched in the caudal silk gland. The fibroin heavy chain and nine uncharacterized silk proteins were identified as phosphorylated proteins. By analysing the sequence of the fibroin heavy chain, we found that it contains 13 Gly/Thr/Pro-rich regions, 12 Val/Ser/Arg-rich regions and a Gly/Arg/Thr-rich region. Three uncharacterized proteins were identified as sericin-like proteins due to their larger molecular weights, signal peptides and repetitive motifs rich in serine. This study provides valuable information for further clarifying the secretion and adhesion of underwater caddisworm silk.

Anti-SARS-CoV-2 activity of small molecule inhibitors of cathepsin L / 药学学报

The coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which has led to serious worldwide economic burden. Due to the continuous emergence of variants, vaccines and monoclonal antibodies are only partial effective against infections caused by distinct strains of SARS-CoV-2. Therefore, it is still of great importance to call for the development of broad-spectrum and effective small molecule drugs to combat both current and future outbreaks triggered by SARS-CoV-2. Cathepsin L (CatL) cleaves the spike glycoprotein (S) of SARS-CoV-2, playing an indispensable role in enhancing virus entry into host cells. Therefore CatL is one of the ideal targets for the development of pan-coronavirus inhibitor-based drugs. In this study, a CatL enzyme inhibitor screening model was established based on fluorescein labeled substrate. Two CatL inhibitors IMB 6290 and IMB 8014 with low cytotoxicity were obtained through high-throughput screening, the half inhibition concentrations (IC50) of which were 11.53 ± 0.68 and 1.56 ± 1.10 μmol·L-1, respectively. SDS-PAGE and cell-cell fusion experiments confirmed that the compounds inhibited the hydrolysis of S protein by CatL in a concentration-dependent manner. Surface plasmon resonance (SPR) detection showed that both compounds exhibited moderate binding affinity with CatL. Molecular docking revealed the binding mode between the compound and the CatL active pocket. The pseudovirus experiment further confirmed the inhibitory effects of IMB 8014 on the S protein mediated entry process. In vitro pharmacokinetic evaluation indicated that the compounds had relatively good drug-likeness properties. Our research suggested that these two compounds have the potential to be further developed as antiviral drugs for COVID-19 treatment.

Highly efficient expression of human extracellular superoxide dismutase (rhEcSOD) with ultraviolet-B-induced damage-resistance activity in transgenic silkworm cocoons.

Extracellular superoxide dismutase (EcSOD) protects tissues from oxidative stress, and thus is considered as a therapeutic agent for many diseases such as atherosclerosis, hypertension, and cancer. However, cost-effective production of bioactive recombinant human EcSOD (rhEcSOD) remains a challenge. Herein, we developed an efficient strategy for producing active rhEcSOD by transgenic silkworms. rhEcSOD was successfully synthesized as homodimers and homotetramers in the middle silk gland and spun into the cocoons with a concentration of 9.48 ± 0.21 mg/g. Purification of rhEcSOD from the cocoons could be conveniently achieved with a purity of 99.50% and a yield of 3.5 ± 0.5 mg/g. Additionally, N-glycosylation at the only site of N89 in rhEcSOD with 10 types were identified. The purified rhEcSOD gained the potent enzymatic activity of 4 162 ± 293 U/mg after Cu/Zn ions incorporation. More importantly, rhEcSOD was capable of penetrating and accumulating in the nuclei of cells to maintain cell morphology and attenuate ultraviolet B-induced cell apoptosis by eliminating reactive oxygen species and inhibiting the C-Jun N-terminal kinase signaling pathway. These results demonstrated that the transgenic silkworm could successfully produce rhEcSOD with enzymatic and biological activities for biomedical applications.

Unveiling the Influence of Tumor Microenvironment and Spatial Heterogeneity on Temozolomide Resistance in Glioblastoma Using an Advanced Human In Vitro Model of the Blood-Brain Barrier and Glioblastoma.

Glioblastoma (GBM) is the most common primary malignant brain cancer in adults with a dismal prognosis. Temozolomide (TMZ) is the first-in-line chemotherapeutic; however, resistance is frequent and multifactorial. While many molecular and genetic factors have been linked to TMZ resistance, the role of the solid tumor morphology and the tumor microenvironment, particularly the blood-brain barrier (BBB), is unknown. Here, the authors investigate these using a complex in vitro model for GBM and its surrounding BBB. The model recapitulates important clinical features such as a dense tumor core with tumor cells that invade along the perivascular space; and a perfusable BBB with a physiological permeability and morphology that is altered in the presence of a tumor spheroid. It is demonstrated that TMZ sensitivity decreases with increasing cancer cell spatial organization, and that the BBB can contribute to TMZ resistance. Proteomic analysis with next-generation low volume sample workflows of these cultured microtissues revealed potential clinically relevant proteins involved in tumor aggressiveness and TMZ resistance, demonstrating the utility of complex in vitro models for interrogating the tumor microenvironment and therapy validation.

Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors.

Current technologies to subtype glioblastoma (GBM), the most lethal brain tumor, require highly invasive brain biopsies. Here, we develop a dedicated analytical platform to achieve direct and multiplexed profiling of circulating RNAs in extracellular vesicles for blood-based GBM characterization. The technology, termed 'enzyme ZIF-8 complexes for regenerative and catalytic digital detection of RNA' (EZ-READ), leverages an RNA-responsive transducer to regeneratively convert and catalytically enhance signals from rare RNA targets. Each transducer comprises hybrid complexes - protein enzymes encapsulated within metal organic frameworks - to configure strong catalytic activity and robust protection. Upon target RNA hybridization, the transducer activates directly to liberate catalytic complexes, in a target-recyclable manner; when partitioned within a microfluidic device, these complexes can individually catalyze strong chemifluorescence reactions for digital RNA quantification. The EZ-READ platform thus enables programmable and reliable RNA detection, across different-sized RNA subtypes (miRNA and mRNA), directly in sample lysates. When clinically evaluated, the EZ-READ platform established composite signatures for accurate blood-based GBM diagnosis and subtyping.

A predictive model of response to metoprolol in children and adolescents with postural tachycardia syndrome.

BACKGROUND: The present work was designed to explore whether electrocardiogram (ECG) index-based models could predict the effectiveness of metoprolol therapy in pediatric patients with postural tachycardia syndrome (POTS). METHODS: This study consisted of a training set and an external validation set. Children and adolescents with POTS who were given metoprolol treatment were enrolled, and after follow-up, they were grouped into non-responders and responders depending on the efficacy of metoprolol. The difference in pre-treatment baseline ECG indicators was analyzed between the two groups in the training set. Binary logistic regression analysis was further conducted on the association between significantly different baseline variables and therapeutic efficacy. Nomogram models were established to predict therapeutic response to metoprolol. The receiver-operating characteristic curve (ROC), calibration, and internal validation were used to evaluate the prediction model. The predictive ability of the model was validated in the external validation set. RESULTS: Of the 95 enrolled patients, 65 responded to metoprolol treatment, and 30 failed to respond. In the responders, the maximum value of the P wave after correction (Pcmax), P wave dispersion (Pd), Pd after correction (Pcd), QT interval dispersion (QTd), QTd after correction (QTcd), maximum T-peak-to-T-end interval (Tpemax), and T-peak-to-T-end interval dispersion (Tped) were prolonged (all P < 0.01), and the P wave amplitude was increased (P < 0.05) compared with those of the non-responders. In contrast, the minimum value of the P wave duration after correction (Pcmin), the minimum value of the QT interval after correction (QTcmin), and the minimum T-peak-to-T-end interval (Tpemin) in the responders were shorter (P < 0.01, < 0.01 and < 0.01, respectively) than those in the non-responders. The above indicators were screened based on the clinical significance and multicollinearity analysis to construct a binary logistic regression. As a result, pre-treatment Pcmax, QTcmin, and Tped were identified as significantly associated factors that could be combined to provide an accurate prediction of the therapeutic response to metoprolol among the study subjects, yielding good discrimination [area under curve (AUC) = 0.970, 95% confidence interval (CI) 0.942-0.998] with a predictive sensitivity of 93.8%, specificity of 90.0%, good calibration, and corrected C-index of 0.961. In addition, the calibration curve and standard curve had a good fit. The accuracy of internal validation with bootstrap repeated sampling was 0.902. In contrast, the kappa value was 0.769, indicating satisfactory agreement between the predictive model and the results from the actual observations. In the external validation set, the AUC for the prediction model was 0.895, and the sensitivity and specificity were 90.9% and 95.0%, respectively. CONCLUSIONS: A high-precision predictive model was successfully developed and externally validated. It had an excellent predictive value of the therapeutic effect of metoprolol on POTS among children and adolescents.

Genetic Inhibition of Mitochondrial Permeability Transition Pore Exacerbates Ryanodine Receptor 2 Dysfunction in Arrhythmic Disease.

The brief opening mode of the mitochondrial permeability transition pore (mPTP) serves as a calcium (Ca2+) release valve to prevent mitochondrial Ca2+ (mCa2+) overload. Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a stress-induced arrhythmic syndrome due to mutations in the Ca2+ release channel complex of ryanodine receptor 2 (RyR2). We hypothesize that inhibiting the mPTP opening in CPVT exacerbates the disease phenotype. By crossbreeding a CPVT model of CASQ2 knockout (KO) with a mouse missing CypD, an activator of mPTP, a double KO model (DKO) was generated. Echocardiography, cardiac histology, and live-cell imaging were employed to assess the severity of cardiac pathology. Western blot and RNAseq were performed to evaluate the contribution of various signaling pathways. Although exacerbated arrhythmias were reported, the DKO model did not exhibit pathological remodeling. Myocyte Ca2+ handling was similar to that of the CASQ2 KO mouse at a low pacing frequency. However, increased ROS production, activation of the CaMKII pathway, and hyperphosphorylation of RyR2 were detected in DKO. Transcriptome analysis identified altered gene expression profiles associated with electrical instability in DKO. Our study provides evidence that genetic inhibition of mPTP exacerbates RyR2 dysfunction in CPVT by increasing activation of the CaMKII pathway and subsequent hyperphosphorylation of RyR2.

Network Pharmacology-based Strategy to Investigate Pharmacological Mechanisms of Qingbutongluo Pill for Treatment of Brucellosis.

BACKGROUND AND OBJECTIVES: Qingbutongluo pill (QBTLP), a Chinese herbal preparation, has been developed to treat brucellosis for many years with a good therapeutic effect. This study preliminarily explored its potential molecular mechanisms against brucellosis through network pharmacology. METHODS: The active ingredients of QBTLP were screened out mainly from the Traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and their potential targets were predicted through the PubChem database and Swiss Target Prediction platform. GeneCards, DisGeNET Digsee and the Comparative Toxicogenomics Database (CTD) searched the targets corresponding to brucellosis. Then, the Venn diagram obtained intersection targets of QBTLP and diseases. Protein-protein interaction (PPI) network analysis was performed using the Search Tool for the Retrieval of Interacting Genes database (STRING) and visualized in Cytoscape software. Module analysis of the PPI network and core target identification was performed using the Molecular Complex Detection (MCODE) and the Cytohubba plugins. The Metascape data platform was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the intersection targets, and then the "active ingredientstargets- pathways" network was constructed using Cytoscape to screen key active ingredients. RESULTS: 19 key active ingredients were identified by network pharmacological, including Baicalein, Cryptopin, etc. The core targets of QBTLP for treating brucellosis contained TNF, TLR4, MAPK3, MAPK1, MAPK8, MAPK14, MMP9, etc. And the main pathways included the Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, TNF signaling pathway, MAPK signaling pathway, Th17 cell differentiation, and IL-17 signaling pathway. CONCLUSIONS: This study explored the mechanisms of QBTLP for treating brucellosis, which may provide a scientific basis for the clinical application of QBTLP.

Influencing factors of anastomotic leakage after laparoscopic intersphincter resection for extremely low rectal cancer and construction of nomogram prediction model / 中华消化外科杂志

Objective:To investigate the influencing factors of anastomotic leakage after laparoscopic intersphincter resection (ISR) for extremely low rectal cancer and construction of nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 812 patients who underwent laparoscopic ISR for extremely low rectal cancer in the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital) from February 2012 to February 2022 were collected. There were 459 males and 353 females, aged (51±11)years. Observation indicators: (1) surgical situations; (2) follow-up; (3) influencing factors of postoperative anastomotic leakage; (4) construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. The COX proportional hazard model was used for univariate and multivariate analyses. The R software(3.5.1 version) was used to construct nomogram prediction model. The receiver operating characteristic (ROC) curve was drawn and the area under curve (AUC) was used to evaluate the efficacy of the nomogram prediction model. The Bootstrap method was used for internal verification and to calculate the average consistency index (C-index). Results:(1) Surgical situations. All 812 patients underwent laparoscopic ISR for extremely low rectal cancer, including 388 cases undergoing partial ISR, 218 cases undergoing subtotal ISR and 206 cases undergoing complete ISR. All 812 patients underwent ileal protective ostomy, and there were 306 cases with double anastomosis and 203 cases with left colic artery preserved, respectively. The operation time and volume of intraoperative blood loss of 812 patients was (179±33)minutes and (33±13)mL, respectively. (2) Follow-up. All 812 patients were followed up for (13.5±0.9)months. Of the 812 patients, there were 62 cases with postoperative anastomotic leakage and the healing time of these cases was (33±6)days. (3) Influencing factors of postoperative anastomotic leakage. Results of multivariate analysis showed that male, neoadjuvant chemoradiotherapy, failure of reser-ving left colic artery were independent risk factors of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer ( hazard ratio=5.98, 4.00, 16.26, 95% confidence interval as 1.66-24.12, 1.30-12.42, 3.00-90.89, P<0.05). (4) Construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. According to the results of multivariate analysis, male, neoadju-vant chemoradiotherapy and failure of reserving left colic artery were used to construct the nomogram prediction model for anastomotic leakage after laparoscopic ISR for extremely low rectal cancer, and the score of these indexes in the nomogram prediction model was 50, 49, 93, respectively. The total score of these index corresponded to the incidence rate of anastomotic leakage. Results of ROC curve showed that the AUC of nomogram prediction model of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer was 0.87 (95% confidence interval as 0.80-0.93, P<0.05), with sensi-tivity and specificity 0.96 and 0.60, respectively. Results of internal verification showed that the C-index of nomogram prediction model was 0.87. Conclusion:Male, neoadjuvant chemoradiotherapy, failure of reserving left colic artery are independent risk factors of anastomotic leakage after laparo-scopic ISR for extremely low rectal cancer, and the nomogram prediction model based on these indexes can predict the incidence rate of postoperative anastomotic leakage.

Eplerenone protects contralateral kidney tissue from obstruction in pregnant rats with chronic kidney disease / 中国药理学通报

Aim To study the protective effect of eplerenone on the contralateral kidney in pregnant rats with chronic kidney disease (CKD) and its mechanism. Methods Female Wistar rats were randomly divided into sham-operation group, sham-operation pregnancy group, model group and eplerenone group. The rats in the model group and eplenone group had ligation unilateral ureter, and the rats in the eplenone group were treated with 100 mg • kg

miRNA-192-5p targets Dyrk1a to attenuate cerebral injury in MCAO mice by suppressing neuronal apoptosis and neuroinflammation.

INTRODUCTION: Ischemic stroke (IS) is a leading cause of disability and mortality worldwide. Several studies have demonstrated the involvement of microRNAs (miRNAs) in brain diseases. miRNA-192-5p is a regulatory molecule in neurodegenerative diseases and its expression was found to be significantly downregulated in the whole blood samples of IS patients, but the specific role of miRNA-192-5p in IS not fully understood. Here, we investigated the role of miRNA-192-5p in a murine model of acute cerebral injury after IS. MATERIAL AND METHODS: Male C57BL/6J mice received an intracerebroventricular (i.c.v.) injection of agomir-192-5p or antagomir-192-5p 2 h before middle cerebral artery occlusion (MCAO). Infarct volume was assessed by 2,3,5 triphenyltetrazolium chloride (TTC) staining. Brain slices were subjected to Fluoro-Jade B, TUNEL, and immunofluorescence stainings. Contents of pro-inflammatory cytokines (TNF-α, IL-1ß, and IL-6) were measured using enzyme-linked immunosorbent assay (ELISA) kits. In vitro, murine microglial BV-2 cells were subjected to oxygen-glucose deprivation (OGD), and the contents of pro-inflammatory cytokines were measured in cell lysates. RESULTS: miRNA-192-5p was downregulated in the ischemic penumbra of the cerebral cortex. Pretreatment with agomir-192-5p attenuated neurological deficits and reduced cerebral edema and infarct volume in MCAO mice. Agomir-192-5p-treated animals had fewer degenerating and apoptotic neurons in the ischemic penumbra. Additionally, agomir-192-5p significantly suppressed neuroinflammation as evidenced by decreased immunostaining for GFAP and Iba1 and decreased levels of pro-inflammatory cytokines. Antagomir-192-5p pretreatment showed the opposite effect. Furthermore, dual specificity tyrosine phosphorylation regulated kinase 1A (Dyrk1a) was identified as a target gene of miRNA-192-5p, and the elevated Dyrk1a expression in the ischemic penumbra was markedly reduced by agomir-192-5p. Dyrk1a overexpression in BV-2 microglial cells impaired miRNA-192-5p-mediated inhibition of OGD-induced activation of BV-2 microglial cells. Opposite results were obtained using miRNA-192-5p inhibitor and Dyrk1a siRNA. CONCLUSIONS: We found that intracerebroventricular administration of miRNA-192-5p before MCAO attenuatedacute cerebral injury by suppressing neuronal apoptosis and neuroinflammation in mice, and these protective effects might be mediated by downregulation of Dyrk1a. This study would help identify novel therapeutic targets for IS.

Integrative multi-omics approach to targeted therapy for glioblastoma.

This review describes recent technological advances applied to glioblastoma (GBM), a brain tumor with dismal prognosis. International consortial efforts suggest the presence of molecular subtypes within histologically identical GBM tumors. This emphasizes that future treatment decisions should no longer be made based solely on morphological analyses, but must now take into consideration such molecular and cellular heterogeneity. The use of single-cell technologies has advanced our understanding and assignation of functional subtypes revealing therapeutic vulnerabilities. Our team has developed stratification approaches in the past few years, and we have been able to identify patient cohorts enriched for various signaling pathways. Importantly, our Glioportal brain tumor resource has been established under the National Neuroscience Institute Tissue Bank in 2021. This resource offers preclinical capability to validate working hypotheses established from patient clinical datasets. This review highlights recent developments with the ultimate goal of assigning functional meaning to molecular subtypes, revealing therapeutic vulnerabilities.