Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

Deep learning techniques have recently made considerable advances in the field of artificial intelligence. These methodologies can assist psychologists in early diagnosis of mental disorders and preventing severe trauma. Major Depression Disorder (MDD) is a common and serious medical condition whose exact manifestations are not fully understood. So, early discovery of MDD patients helps to cure or limit the adverse effects. Electroencephalogram (EEG) is prominently used to study brain diseases such as MDD due to having high temporal resolution information, and being a noninvasive, inexpensive and portable method. This paper has proposed an EEG-based deep learning framework that automatically discriminates MDD patients from healthy controls. First, the relationships among EEG channels in the form of effective brain connectivity analysis are extracted by Generalized Partial Directed Coherence (GPDC) and Direct directed transfer function (dDTF) methods. A novel combination of sixteen connectivity methods (GPDC and dDTF in eight frequency bands) was used to construct an image for each individual. Finally, the constructed images of EEG signals are applied to the five different deep learning architectures. The first and second algorithms were based on one and two-dimensional convolutional neural network (1DCNN–2DCNN). The third method is based on long short-term memory (LSTM) model, while the fourth and fifth algorithms utilized a combination of CNN with LSTM model namely, 1DCNN-LSTM and 2DCNN-LSTM. The proposed deep learning architectures automatically learn patterns in the constructed image of the EEG signals. The efficiency of the proposed algorithms is evaluated on resting state EEG data obtained from 30 healthy subjects and 34 MDD patients. The experiments show that the 1DCNN-LSTM applied on constructed image of effective connectivity achieves best results with accuracy of 99.24% due to specific architecture which captures the presence of spatial and temporal relations in the brain connectivity. The proposed method as a diagnostic tool is able to help clinicians for diagnosing the MDD patients for early diagnosis and treatment.     

Expression profiles and potential roles of transfer RNA-derived small RNAs in atherosclerosis

Knowledge regarding the relationship between the molecular mechanisms underlying atherosclerosis (AS) and transfer RNA-derived small RNAs (tsRNAs) is limited. This study illustrated the expression profile of tsRNAs, thus exploring its roles in AS pathogenesis. Small RNA sequencing was performed with four atherosclerotic arterial and four healthy subject samples. Using bioinformatics, the protein-protein interaction network and cellular experiments were constructed to predict the enriched signalling pathways and regulatory roles of tsRNAs in AS. Of the total 315 tsRNAs identified to be dysregulated in the AS group, 131 and 184 were up-regulated and down-regulated, respectively. Interestingly, the pathway of the differentiated expression of tsRNAs in cell adhesion molecules (CAMs) was implicated to be closely associated with AS. Particularly, tRF-Gly-GCC might participate in AS pathogenesis via regulating cell adhesion, proliferation, migration and phenotypic transformation in HUVECs and VSMCs. In conclusion, tsRNAs might help understand the molecular mechanisms of AS better. tRF-Gly-GCC may be a promising target for suppressing abnormal vessels functions, suggesting a novel strategy for preventing the progression of atherosclerosis.     

Identification of novel dysregulated circular RNAs in early-stage breast cancer

Breast cancer is a major cause of cancer-related death in women worldwide. Non-coding RNAs are a potential resource to be used as an early diagnostic biomarker for breast cancer. Circular RNAs are a recently identified group of non-coding RNA with a significant role in disease development with potential utility in diagnosis/prognosis in cancer. In this study, we identified 26 differentially expressed circular RNAs associated with early-stage breast cancer. RNA sequencing and two circRNA detection tools (find_circ and DCC) were used to understand the circRNA expression signature in breast cancer. We identified hsa_circ_0006743 (circJMJD1C) and hsa_circ_0002496 (circAPPBP1) to be significantly up-regulated in early-stage breast cancer tissues. Co-expression analysis identified four pairs of circRNA-miRNA (hsa_circ_0023990 : hsa-miR-548b-3p, hsa_circ_0016601 : hsa_miR-1246, hsa_circ_0001946 : hsa-miR-1299 and hsa_circ_0000117:hsa-miR-502-5p) having potential interaction. The miRNA target prediction and network analysis revealed mRNA possibly regulated by circRNAs. We have thus identified circRNAs of diagnostic implications in breast cancer and also observed circRNA-miRNA interaction which could be involved in breast cancer development.     

长链非编码RNA表征及其在结直肠癌发生发展中的作用和临床意义

长非编码RNA（long non-coding RNAs, lncRNAs）是一类转录本长度大于200个核苷酸,不具有蛋白质编码功能的非编码RNA（non-coding RNA, ncRNA）。人类基因组中,ncRNA基因占比超过90%,数量远大于蛋白质编码基因。作为生物大分子,lncRNA具有特定的初级和高级结构,在基因表达调控等生物学进程中发挥着特有的功能。lncRNA数量多,结构各异,因此鉴定和表征新的lncRNA,探索其结构和功能,是当前基因研究领域的热点之一。在临床疾病机制研究中,大量结果表明,lncRNA与临床疾病发生发展,特别是肿瘤的发生发展具有密切的相关性。伴随着后基因组学时代基因鉴定和功能探索方法的不断进步,探索lncRNA在疾病发生中的功能及表达变化,深入解锁lncRNA在疾病发生中涉及的分子机制,将为疾病早期预防、诊断和预后提供有效参考。基于以上的研究大背景,本文对lncRNA的定义、基因鉴定的策略和方法,高级结构检测及其对应的生物学功能,以及lncRNA的分类进行了阐述;另一方面,基于lncRNA与肿瘤发生发展的密切关系,本文以经典抑癌基因p53为切入点,对多种p53相关的lncRNA在结直肠癌（colorectal cancer, CRC）发生发展中的作用进行了归纳小结,阐述了lncRNA在结直肠癌中的表达变化、涉及的分子互作机制和信号通路,对其作为分子标志物在临床中的应用潜力进行了评估。我们乐观地认为,作为生物分子标志物,lncRNA将为包括癌症在内的疾病治疗提供全新、精准和个性化的分子靶点。     

阿尔茨海默病中β淀粉样蛋白的生成及清除的调节

阿尔茨海默病（Alzheimer’s disease, AD）是一种慢性退行性神经系统疾病,临床主要表现为进行性认知能力下降、记忆力衰退、人格改变等。AD的标志性病理特征包括脑细胞外β淀粉样蛋白（β-amyloid protein,Aβ）沉积形成老年斑、细胞内神经纤维缠结(neurofibrillary tangles,NFT)、神经炎症增加以及神经元凋亡。β淀粉样蛋白主要在神经元产生,是淀粉样前体蛋白经过一系列酶解反应生成的由39～42个氨基酸组成的多肽,调节Aβ的生成和清除能够有效延缓甚至逆转阿尔茨海默病的进程,因而具有重大的研究价值。β-分泌酶（β-site APP cleaving enzyme 1,BACE1）为Aβ产生过程中的关键酶,其含量及活性的改变均能影响Aβ产生,在阿尔茨海默病的发生发展中发挥至关重要的作用;老年斑周围炎性细胞的聚集提示,AD与神经炎症高度相关,神经炎症相关细胞能够参与Aβ的清除,多种炎性因子也能调节Aβ的生成;非编码RNA虽很少直接参与Aβ的产生、沉积和清除,但其可以通过多种途径调节Aβ的产生。本文从β淀粉样蛋白生成及清除的机制着手,重点阐述了BACE1、神经炎症、非编码RNA对Aβ调控的重要作用,以期为AD发病机制的进一步研究提供思路,并对阿尔茨海默病早期干预及治疗提供理论参考。     

Understanding the function of the tumor microenvironment,and compounds from marine organisms for breast cancer therapy

The pathology and physiology of breast cancer(BC),including metastasis,and drug resistance,is driven by multiple signaling pathways in the tumor microenvironment(TME),which hamper antitumor immunity.Recently,long non-coding RNAs have been reported to mediate pathophysiological developments such as metastasis as well as immune suppression within the TME.Given the complex biology of BC,novel personalized therapeutic strategies that address its diverse pathophysiologies are needed to improve clinical outcomes.In this review,we describe the advances in the biology of breast neoplasia,including cellular and molecular biology,heterogeneity,and TME.We review the role of novel molecules such as long non-coding RNAs in the pathophysiology of BC.Finally,we provide an up-to-date overview of anticancer compounds extracted from marine microorganisms,crustaceans,and fishes and their synergistic effects in combination with other anticancer drugs.Marine compounds are a new discipline of research in BC and offer a wide range of anti-cancer effects that could be harnessed to target the various pathways involved in BC development,thus assisting current therapeutic regimens.     

Enzymatic and Non-Enzymatic Esterification of long Polyunsaturated Fatty Acids and Lysophosphatidylcholine in Isooctane

Phosphatidylcholine containing large amounts of long polyunsaturated fatty acid, eicosapentaenoic acid (C20:5) and docosahexaenoic acid (C22:6), was synthesized in isooctane. Immobilized phospholipase A₂ was used as a catalyst. A parallel non-enzymatic esterification reaction was investigated in separate experiments.

The concentrations of lyso-phosphatidylcholine, polyunsaturated fatty acids, water and the enzyme were varied over wide ranges as were the temperature and the reaction time. The type of enzyme, carrier and immobilization procedure were held constant.

The yield of phosphatidylcholine was relatively high (about 21%) when the concentration of polyunsaturated fatty acids was high (300 mg/g of reaction mixture) and the water content was low (below 30% of the dry immobilized enzyme). The highest yield of phosphatidylcholine was found at 80 hours and 75°C. However, at this temperature an extensive non-enzymatic reaction between polyunsaturated fatty acids and lyso-phosphatidylcholine occurred. At 80°C the polyunsaturated fatty acids were partly oxidized. Therefore, a temperature of 45°C to 65°C is probably the optimum temperature for the reaction.     

Inhibition of HCV Replication in HCV Replicon by shRNAs

We show that the vector-derived long dsRNA specifically inhibits the replication of HCV RNA in HCV replicon. We designed a long dsRNA targeted to the full-length HCV IRES/core elements (1-to 377-nt). Our results revealed that the replication of HCV RNA was reduced to near background levels in a sequence-specific manner by the long dsRNAs in the HCV replicon. We also designed four shRNAs against several regions (120- to 139-nt, 260- to 279-nt, 330- to 349-nt, and 340- to 359-nt) of the HCV IRES/Core elements. The two HCV IRES/core-specific shRNAs, 330- to 349-nt and 340- to 359-nt, containing the AUG initiation codon sequence showed stronger HCV inhibitory effects than the other two shRNAs, 120- to 139-nt and 260- to 279-nt.