Metagenomic next-generation sequencing for pleural effusions induced by viral pleurisy: A case report.

BACKGROUND: Viral pleurisy is a viral infected disease with exudative pleural effusions. It is one of the causes for pleural effusions. Because of the difficult etiology diagnosis, clinically pleural effusions tend to be misdiagnosed as tuberculous pleurisy or idiopathic pleural effusion. Here, we report a case of pleural effusion secondary to viral pleurisy which is driven by infection with epstein-barr virus. Viral infection was identified by metagenomic next-generation sequencing (mNGS). CASE SUMMARY: A 40-year-old male with a history of dermatomyositis, rheumatoid arthritis, and secondary interstitial pneumonia was administered with long-term oral prednisone. He presented with fever and chest pain after exposure to cold, accompanied by generalized sore and weakness, night sweat, occasional cough, and few sputums. The computed tomography scan showed bilateral pleural effusions and atelectasis of the partial right lower lobe was revealed. The pleural fluids were found to be yellow and slightly turbid after pleural catheterization. Thoracoscopy showed fibrous adhesion and auto-pleurodesis. Combining the results in pleural fluid analysis and mNGS, the patient was diagnosed as viral pleuritis. After receiving Aciclovir, the symptoms and signs of the patient were relieved. CONCLUSION: Viral infection should be considered in cases of idiopathic pleural effusion unexplained by routine examination. mNGS is helpful for diagnosis.

A two-stage genome-wide association study to identify novel genetic loci associated with acute radiotherapy toxicity in nasopharyngeal carcinoma.

BACKGROUND: Genetic variants associated with acute side effects of radiotherapy in nasopharyngeal carcinoma (NPC) remain largely unknown. METHODS: We performed a two-stage genome-wide association analysis including a total of 1084 patients, where 319 individuals in the discovery stage were genotyped for 688,783 SNPs using whole genome-wide screening microarray. Significant variants were then validated in an independent cohort of 765 patients using the MassARRAY system. Gene mapping, linkage disequilibrium, genome-wide association analysis, and polygenic risk score were conducted or calculated using FUMA, LDBlockShow, PLINK, and PRSice software programs, respectively. RESULTS: Five SNPs (rs6711678, rs4848597, rs4848598, rs2091255, and rs584547) showed statistical significance after validation. Radiotherapy toxicity was more serious in mutant minor allele carriers of all five SNPs. Stratified analysis further indicated that rs6711678, rs4848597, rs4848598, and rs2091255 correlated with skin toxicity in patients of EBV positive, late stage (III and IV), receiving both concurrent chemoradiotherapy and induction/adjuvant chemotherapy, and with OR values ranging from 1.92 to 2.66. For rs584547, high occurrence of dysphagia was found in A allele carriers in both the discovery (P = 1.27 × 10- 6, OR = 1.55) and validation (P = 0.002, OR = 4.20) cohorts. Furthermore, prediction models integrating both genetic and clinical factors for skin reaction and dysphagia were established. The area under curve (AUC) value of receiver operating characteristic (ROC) curves were 0.657 (skin reaction) and 0.788 (dysphagia). CONCLUSIONS: Rs6711678, rs4848597, rs4848598, and rs2091255 on chromosome 2q14.2 and rs584547 were found to be novel risk loci for skin toxicity and dysphagia in NPC patients receiving radiotherapy. TRIAL REGISTRATION: Chinese Clinical Trial Register (registration number: ChiCTR-OPC-14005257 and CTXY-140007-2).

Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy.

BACKGROUND: Seizures are a common symptom in glioma patients, and they can cause brain dysfunction. However, the mechanism by which glioma-related epilepsy (GRE) causes alterations in brain networks remains elusive. OBJECTIVE: To investigate the potential pathogenic mechanism of GRE by analyzing the dynamic expression profiles of microRNA/ mRNA/ lncRNA in brain tissues of glioma patients. METHODS: Brain tissues of 16 patients with GRE and 9 patients with glioma without epilepsy (GNE) were collected. The total RNA was dephosphorylated, labeled, and hybridized to the Agilent Human miRNA Microarray, Release 19.0, 8 × 60 K. The cDNA was labeled and hybridized to the Agilent LncRNA + mRNA Human Gene Expression Microarray V3.0, 4 × 180 K. The raw data was extracted from hybridized images using Agilent Feature Extraction, and quantile normalization was performed using the Agilent GeneSpring. P-value < 0.05 and absolute fold change > 2 were considered the threshold of differential expression data. Data analyses were performed using R and Bioconductor. RESULTS: We found that 3 differentially expressed miRNAs (miR-10a-5p, miR-10b-5p, miR-629-3p), 6 differentially expressed lncRNAs (TTN-AS1, LINC00641, SNHG14, LINC00894, SNHG1, OIP5-AS1), and 49 differentially expressed mRNAs play a vitally critical role in developing GRE. The expression of GABARAPL1, GRAMD1B, and IQSEC3 were validated more than twofold higher in the GRE group than in the GNE group in the validation cohort. Pathways including ECM receptor interaction and long-term potentiation (LTP) may contribute to the disease's progression. Meanwhile, We built a lncRNA-microRNA-Gene regulatory network with structural and functional significance. CONCLUSION: These findings can offer a fresh perspective on GRE-induced brain network changes.

Pharmacogenomics for the efficacy of platinum-based chemotherapy: Old drugs, new integrated perspective.

Platinum-based chemotherapy remains the cornerstone of treatment for many malignancies. However, although therapeutic efficiency varies greatly among individuals, there is a lack of pharmacogenomic biomarkers that can be used in clinical settings to identify chemosensitive patients and allow stratification. With the development of high-throughput screening techniques and systems biology approaches, a growing body of evidence has shown that platinum resistance is a multifactorial, multi-dimensional, dynamic process incorporating genetic background, tumor evolution and gut microbes. This review critically summarizes potential pharmacogenomic biomarkers for predicting the efficacy of platinum drugs and provides a comprehensive, time-varying perspective that integrates multiple markers.

The molecular classification of astrocytic tumors.

AIM: This study will explore the genetic and epigenetic alterations in astrocytomas, and identify the critical molecular signatures and signaling pathways for prognosis assessment by multiplatform comprehensive analysis. METHOD: We performed integration analyses of incorporating DNA methylation, mRNA expression, microRNA expression, and long non-coding RNA (lncRNA) expression in 33 astrocytic tumor tissues and 9 non-tumor brain tissues. RESULT: We observed that 11,795 DNA methylation sites, 3,627 genes, 136 microRNAs, and 3,334 lncRNAs were significantly differential between tumors and non-tumor brain tissues, and the filtered signatures through comprehensive analysis were significantly enriched in calcium signaling pathway. Furthermore, four signatures involved in calcium signaling pathway and age could contribute to predicting the patients' overall survival. Additionally, we identified differentially expressed signatures between IDH-mutated and IDH wild-type astrocytic tumors, and complement and coagulation cascades pathway was the most significant pathway in functional enrichment analysis using multiplatform data. The IDH wild-type astrocytomas were divided into two subtypes by Cluster of Cluster (CoC) analysis, one of which was enriched for astrocytomas overexpressed in chemokine signaling pathway. CONCLUSION: The calcium signaling pathway played a key role in astrocytoma tumorigenesis and prognosis. IDH mutation was a vital biomarker, and resulted in the change of expression level in complement and coagulation cascades pathway. The chemokine signaling pathway could characterize subtypes of IDH wild-type astrocytomas.

Silencing of Forkhead box D1 inhibits proliferation and migration in glioma cells.

Despite the extensive role of Forkhead box transcription factors in the development and progression of various cancers, little is known about their role in glioma. We examined the expression and function of Forkhead box D1 (FOXD1) in glioma cell behavior and found that FOXD1 was upregulated and directly correlated with the glioma grade. Data analysis also revealed significant differences in FOXD1 expression for both gene expression profiles (GSE4290 and GSE7696) and the TCGA datasets. Additionally, decreased FOXD1 expression in U251 and U87 glioma cells caused a delay in cell growth and a disruption in colony formation. FOXD1 silencing also promoted generation of apoptotic bodies containing nuclear fragments. Cells with suppressed expression of FOXD1 markedly reduced glioma cell migration. Our results suggest that FOXD1 may serve as a novel regulator of glioblastoma cell behavior that may offer a novel target for gene targeted glioma therapies.

PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade Glioma.

Current treatment methods for patients diagnosed with gliomas have shown limited success. This is partly due to the lack of prognostic genes available to accurately predict disease outcomes. The aim of this study was to investigate novel prognostic genes based on the molecular profile of tumor samples and their correlation with clinical parameters. In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years). DEPGs generated from these two datasets were intersected to obtain a list of common DEPGs. The expression of a subset of common DEPGs was then independently validated by real-time reverse transcription quantitative PCR (qPCR). Survival value of the common DEPGs was validated using known survival data from the GSE4412 and TCGA dataset. After intersecting DEPGs generated from the above two datasets, three genes were identified which may potentially be used to determine glioma patient prognosis. Independent validation with glioma patients tissue (n = 70) and normal brain tissue (n = 19) found PPIC, EMP3 and CHI3L1 were up-regulated in glioma tissue. Survival value validation showed that the three genes correlated with patient survival by Kaplan-Meir analysis, including grades, age and therapy.

COL3A1 and SNAP91: novel glioblastoma markers with diagnostic and prognostic value.

Although patients with glioblastoma (GBM) have grave prognosis, significant variability in patient outcome is observed. This study aims to identify novel targets for GBM diagnosis and therapy. Microarray data (GSE4290, GSE7696, and GSE4412) obtained from the Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) by significant analysis of microarray (SAM). Intersection of the identified DEGs for each profile revealed 46 DEGs in GBM. A subset of common DEGs were validated by real-time reverse transcription quantitative PCR (qPCR). The prognostic value of some of the markers was also studied. We determined that RRM2 and COL3A1 were increased and directly correlated with glioma grade, while SH3GL2 and SNAP91 were decreased in GBM and inversely correlated with glioma grade. Kaplan-Meir analysis of GSE7696 revealed that COL3A1 and SNAP91 correlated with survival, suggesting that COL3A1 and SNAP91 may be suitable biomarkers for diagnostic or therapeutic strategies for GBM.

A critical overview of long non-coding RNA in glioma etiology 2016: an update.

With the development of whole genome and transcriptome sequencing technologies, a growing body of long non-coding RNAs (lncRNAs) has been identified and is receiving increasing attention. LncRNAs are non-protein encoding transcripts whose functions are crucial for advancing our comprehensive understanding of biological processes in human health and diseases, specifically glioma. It has been established that lncRNAs are differently expressed in the central nervous system and may play a vital role in glioma. As of June 2016, 20 lncRNAs have been identified that may play a role in glioma pathogenesis. Investigation into the role of lncRNAs in glioma may help to identify potential biomarkers which can improve the diagnosis and treatment of glioma. In this paper, we review current understanding of the function of lncRNAs in glioma initiation and progression.

MicroRNA-138 acts as a tumor suppressor in non small cell lung cancer via targeting YAP1.

MicroRNA (miR)-138 was found to have suppressive effects on the growth and metastasis of different human cancers. In this study, we aimed to investigate the regulatory mechanism of miR-138 in non-small cell lung cancer (NSCLC). We applied the Quantitative real-time PCR (qRT-PCR) to detect the miR-138 levels in NSCLC tissues (n=21) and cell lines, Bioinformatical predication, luciferase reporter assay and western blot to identify the target gene of miR-138. We also applied Cell transfection, MTT, transwell, and wound healing assays to reveal the role of miR-138 in NSCLC cell proliferation and malignant transformation. We observed that miR-138 expression level was significantly decreased in NSCLC tissues compared to their matched adjacent normal tissues. It was also downregulated in tissues with poor differentiation, advanced stage or lymph nodes metastasis, as well as in several NSCLC cell lines compared to normal lung epithelial cell. We further identified YAP1 as a direct target gene of miR-138, and observed that the protein level of YAP1 was negatively mediated by miR-138 in NSCLC A549 cells. Moreover, overexpression of miR-138 significantly inhibited A549 cell growth, invasion and migration, while knockdown of miR-138 enhanced such capacities. Further investigation showed that the cell proliferation capacity was higher in the miR-138+YAP1 group, when compared with that in the miR-138 group, suggesting that overexpression of YAP1 rescued the suppressive effects of miR-138 upregulation on NSCLC cell proliferation. However, we found no difference of cell invasion and migration capacities between miR-138+YAP1 group and miR-138 group. Finally, YAP1 was markedly upregulated in NSCLC tissues compared to their marched adjacent normal tissues. Its mRNA levels were reversely correlated with the miR-138 levels in NSCLC tissues. In summary, our study suggests that miR-138 may play a suppressive role in the growth and metastasis of NSCLC cells partly at least by targeting YAP1.

Prediction models for platinum-based chemotherapy response and toxicity in advanced NSCLC patients.

In this study, we aimed to establish a platinum-based chemotherapy response and toxicity prediction model in advanced non-small cell lung cancer (NSCLC) patients. 416 single nucleotide polymorphisms (SNPs) in 185 genes were genotyped, and their association with drug response and toxicity were estimated using logistic regression. Nine data mining techniques were employed to establish the prediction model; the sensitivity, specificity, overall accuracy and receiver operating characteristic (ROC) curve were used to assess the models' performance. Finally, selected models were validated in an independent cohort. The models established by naïve Bayesian algorithm had the best performance. The response prediction model achieved a sensitivity of 0.90 and a specificity of 0.47 with the ROC area under curve (AUC) of 0.80. The overall toxicity prediction model achieved a sensitivity of 0.86 and a specificity of 0.46 with the ROC AUC of 0.73. The hematological toxicity prediction model achieved a sensitivity of 0.89 and a specificity of 0.39 with the ROC AUC of 0.76. The gastrointestinal toxicity prediction model achieved a sensitivity of 0.93 and a specificity of 0.35 with the ROC AUC of 0.80. In conclusion, we provided platinum-based chemotherapy response and toxicity prediction models for advanced NSCLC patients.

Common variants of ATP1A3 but not ATP1A2 are associated with Chinese genetic generalized epilepsies.

OBJECTIVE: ATP1A2 and ATP1A3 are genes that code for catalytic subunits of Na/K-ATPases, which play important roles in the basal electrophysiological states of nerve cells. The aim of this study was to investigate whether genetic polymorphisms of ATP1A2 and ATP1A3 influence susceptibility to genetic generalized epilepsies (GGEs) and the efficacy of anti-epileptic drugs in a Chinese population. METHOD: Six ATP1A2 tagged single-nucleotide polymorphisms (tagSNPs) and two ATP1A3 tagSNPs were were genotyped by allele-specific MALDI-TOF mass spectrometry in 484 Chinese GGE patients (280 drug-responsive and 204 drug-resistant patients) and 284 healthy controls. RESULTS: Significant differences were found in the frequencies of the ATP1A3 rs8107107 C allele and the CC genotype between the GGEs and the healthy controls (11% vs. 15%, odds ratio (OR)=0.807 (0.68-0.960), p=0.021 and 0.4% vs. 3.2%, OR=0.121 (0.026-0.565), p=0.002, respectively). The frequency of the rs8107107 CT+CC genotype was significantly lower among the GGE patients than among the healthy controls (15% vs. 26.8%, OR=0.327 (0.248-0.942), p=0.001). No significant differences in the frequencies of six ATP1A2 tagSNPs or ATP1A2 haplotypes were found between the GGEs and the healthy controls. No tagSNPs were involved in anti-epileptic drug resistance. CONCLUSION: Our findings demonstrated that common variants of ATP1A3 but not ATP1A2 were associated with the susceptibility to GGEs in a Chinese population, which indicates that the ATP1A3 gene plays a significant role in the pathophysiology of genetic generalized epilepsies.

PRRT2 mutations are related to febrile seizures in epileptic patients.

Previous studies reported that the proline-rich transmembrane protein 2 (PRRT2) gene was identified to be related to paroxysmal kinesigenic dyskinesia (PKD), infantile convulsions with PKD, PKD with migraine and benign familial infantile epilepsy (BFIE). The present study explores whether the PRRT2 mutation is a potential cause of febrile seizures, including febrile seizures plus (FS+), generalized epilepsy with febrile seizures plus (GEFS+) and Dravet syndrome (DS); thus, it may provide a new drug target for personalized medicine for febrile seizure patients. We screened PRRT2 exons in a cohort of 136 epileptic patients with febrile seizures, including FS+, GEFS+ and DS. PRRT2 genetic mutations were identified in 25 out of 136 (18.4%) febrile seizures in epileptic patients. Five loss-of-function and coding missense mutations were identified: c.649delC (p.R217Efs*12), c.649_650insC (p.R217Pfs*8), c.412C>G (p.Pro138Ala), c.439G>C (p.Asp147His) and c.623C>A (p.Ser208Tyr). PRRT2 variants were probably involved in the etiology of febrile seizures in epileptic patients.

Huperzine A ameliorates cognitive deficits in streptozotocin-induced diabetic rats.

The present study was designed to probe the effects of Huperzine A (HupA) on diabetes-associated cognitive decline (DACD) using a streptozotocin (STZ)-injected rat model. Diabetic rats were treated with HupA (0.05 and 0.1 mg/kg) for seven weeks. Memory functions were evaluated by the water maze test. Nissl staining was selected for detecting neuronal loss. Protein and mRNA levels of brain-derived neurotrophic factor (BDNF) were analyzed by ELISA and real-time PCR, respectively. The activities of choline acetylase (ChAT), Acetylcholinesterase (AChE), malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), catalase (CAT), NF-κB p65 unit, TNF-α, IL-1ß, IL-6 and caspase-3 were measured using corresponding kits. After seven weeks, diabetic rats exhibited remarkable reductions in: body weight, percentage of time spent in target quadrant, number of times crossing the platform, ChAT and BDNF levels, SOD, GSH-Px and CAT accompanied with increases in neuronal damage, plasma glucose levels, escape latency, mean path length, AChE, MDA level as well as CAT, NF-κB p65 unit, TNF-α, IL-1ß, IL-6 and caspase-3 in cerebral cortex and hippocampus. Supplementation with HupA significantly and dose-dependently reversed the corresponding values in diabetes. It is concluded that HupA ameliorates DACD via modulating BDNF, oxidative stress, inflammation and apoptosis.