Critical thinking on amyloid-beta-targeted therapy: challenges and perspectives

Amyloid-beta(Aβ) plays a pivotal role in the pathogenesis of Alzheimer's disease(AD) and has been regarded as the main therapeutic target for AD. However, most of the Aβ-targeted clinical trials have not succeeded. Therefore, the Aβ-targeted therapeutic strategy on treating this complex disease needs to be re-evaluated. In this review, we analyzed the challenges and critical points of the current anti-Aβ therapeutic strategies. In addition to Aβ, multiple pathological events such as tau hyperphosphorylation, oxidative stress, and neuroinflammation, which are involved in AD pathogenesis and synergistically drive disease progression, could be important targets for AD treatment. Tertiary prevention strategies are needed for the successful management of AD due to its complex and dynamic pathogenesis. Systemic perspective addressing the disease pathogenesis within and outside the brain, as well as the multidomain intervention targeting risk factors and comorbidities, are important approaches for the therapeutic solutions of AD.     

Familial Alzheimer’s disease modelling using induced pluripotent stem cell technology

Alzheimer’s disease(AD)is a progressive neurodegenerative disease in which patients exhibit gradual loss of memory that impairs their ability to learn or carry out daily tasks.Diagnosis of AD is difficult,particularly in early stages of the disease,and largely consists of cognitive assessments,with only one in four patients being correctly diagnosed.Development of novel therapeutics for the treatment of AD has proved to be a lengthy,costly and relatively unproductive process with attrition rates of90%.As a result,there are no cures for AD and few treatment options available for patients.Therefore,there is a pressing need for drug discovery platforms that can accurately and reproducibly mimic the AD phenotype and be amenable to high content screening applications.Here,we discuss the use of induced pluripotent stem cells(iPSCs),which can be derived from adult cells,as a method of recapitulation of AD phenotype in vitro.We assess their potential use in high content screening assays and the barriers that exist to realising their full potential in predictive efficacy,toxicology and disease modelling.At present,a number of limitations need to be addressed before the use of iPSC technology can be fully realised in AD therapeutic applications.However,whilst the use of AD-derived iPSCs in drug discovery remains a fledgling field,it is one with immense potential that is likely to reach fruition within the next few years.     

Chronic pancreatitis, pancreatic adenocarcinoma and the black box in-between

Pancreatic cancer is a challenging disease for patients, doctors and researchers who for decades have searched for a cure for this deadly malignancy. Although existing mouse models of pancreatic cancer have shed light on the mechanistic basis of the neoplastic conversion of the pancreas, their impact in terms of offering new diagnostics and therapeutic modalities remains limited. Chronic pancreatitis is an inflammatory disease of the pancreas that is associated with a gradual damage of the organ and an increased risk of developing neoplastic lesions. In this review, we propose that detailed studies of chronic inflammatory processes in the pancreas will provide insights into the evolution of pancreatic cancer. This information may prove useful in the design of effective therapeutic strategies to battle the disease.     

Epidemiological and etiological investigation of dengue fever in the Fujian province of China during 2004–2014

Dengue fever(DF) is a vector-borne disease and a tremendous socioeconomic burden on tropical and subtropical countries worldwide. To explore the characteristics of DF epidemic in the Fujian province, information of DF cases in Fujian during 2004–2014 was collected and analyzed. The complete E genes of 48 viral isolates were amplified and sequenced for phylogenetic analysis. A total of 733 cases was reported, of which 612(83.5%) occurred during the peak period from August to October. Additionally, 76%(190/250) of imported cases originated from Southeast Asia countries, by the epidemiological investigation. Phylogenetic analysis of the 48 viral isolates revealed that three genotypes(I, IV, V) of DENV1, and one genotype each of DENV2(cosmopolitan) and DENV3(I) circulated in Fujian during 2004–2014. Similar to the results of the epidemiological investigations, the source of most of the viral isolates, including imported and indigenous cases, may be Southeast Asia countries; however, importation from adjacent provinces was also observed in recent years. Overall, DF is considered an imported epidemic disease in Fujian. Increasing diversity of the viral source and geographic expansion of the area affected by DF in recent years highlights the necessity for strengthening surveillance of the DF epidemic and developing strategies for DF prevention and control in Fujian.     

Systems Approaches to Biology and Disease Enable Translational Systems Medicine

The development and application of systems strategies to biology and disease are transforming medical research and clinical practice in an unprecedented rate.In the foreseeable future,clinicians,medical researchers,and ultimately the consumers and patients will be increasingly equipped with a deluge of personal health information,e.g.,whole genome sequences,molecular profiling of diseased tissues,and periodic multi-analyte blood testing of biomarker panels for disease and wellness.The convergence of these practices will enable accurate prediction of disease susceptibility and early diagnosis for actionable preventive schema and personalized treatment regimes tailored to each individual.It will also entail proactive participation from all major stakeholders in the health care system.We are at the dawn of predictive,preventive,personalized,and participatory(P4) medicine,the fully implementation of which requires marrying basic and clinical researches through advanced systems thinking and the employment of high-throughput technologies in genomics,proteomics,nanofluidics,single-cell analysis,and computation strategies in a highly-orchestrated discipline we termed translational systems medicine.     

Modelling mitochondrial dysfunction in Alzheimer's disease using human induced pluripotent stem cells

Alzheimer's disease(AD) is the most common form of dementia. To date, only five pharmacological agents have been approved by the Food and Drug Administration for clinical use in AD, all of which target the symptoms of the disease rather than the cause. Increasing our understanding of the underlying pathophysiology of AD will facilitate the development of new therapeutic strategies. Over the years, the major hypotheses of AD etiology have focused on deposition of amyloid beta and mitochondrial dysfunction. In this review we highlight the potential of experimental model systems based on human induced pluripotent stem cells(iPSCs) to provide novel insights into the cellular pathophysiology underlying neurodegeneration in AD. Whilst Down syndrome and familial AD iPSC models faithfully reproduce features of AD such as accumulation of Aβ and tau, oxidative stress and mitochondrial dysfunction,sporadic AD is much more difficult to model in this way due to its complex etiology. Nevertheless, iPSC-based modelling of AD has provided invaluable insights into the underlying pathophysiology of the disease, and has a huge potential for use as a platform for drug discovery.     

A real-time and dynamic biological information retrieval and analysis system (BIRAS)

The aim of this study is to design a biological information retrieval and analysis system (BIRAS) based on the Internet. Using the specific network protocol, BIRAS system could send and receive information from the Entrez search and retrieval system maintained by National Center for Biotechnology Information (NCBI) in USA. The literatures, nucleotide sequence, protein sequences, and other resources according to the user-defined term could then be retrieved and sent to the user by pop up message or by E-mail informing automatically using BIRAS system. All the information retrieving and analyzing processes are done in real-time. As a robust system for intelligently and dynamically retrieving and analyzing on the user-defined information, it is believed that BIRAS would be extensively used to retrieve specific information from large amount of biological databases in now days. The program is available on request from the corresponding author.     

Biomarkers of neurodegenerative disorders： How good are they？

Biomarkers are very important indicators of normal and abnormal biological processes. Specific changes in pathologies,biochemistries and genetics can give us comprehensive information regarding the nature of any particular disease. A good biomarker should be precise and reliable, distinguishable between normal and interested disease, and differentiable between different diseases. It is believed that biomarkers have great potential in predicting chances for diseases, aiding in early diagnosis, and setting standards for the development of new remedies to treat diseases. New technologies have enabled scientists to identify biomarkers of several different neurodegenerative diseases. The followings, for instance,are only a few of the many new biomarkers that have been recently identified: the phosphorylated tau protein and aggregated β-amyloid peptide for Alzheimer‘s disease (AD), α-synuclein contained Lewy bodies and altered dopamine transporter (DAT) imaging for Parkinson‘s disease (PD), SOD mutations for familial amyotrophic lateral sclerosis (ALS), and CAG repeats resulted from Huntington‘s gene mutations in Huntington‘s disease (HD). This article will focus on the most-recent findings of biomarkers belonging to the four mentioned neurodegenerative diseases.     

Genetics of Nonalcoholic Fatty Liver Disease:An Overview

Nonalcoholic fatty liver disease(NAFLD) is the most common liver disease in the world today.Its incidence in adults and children is rising rapidly due to the ongoing epidemics of obesity and type 2 diabetes.Hence,it has become a global public health issue.Environmental factors have been found to play a major role in the etiology of NAFLD,especially for genetically susceptible populations. Among these,one of the most important factors is junk food,especially the typical "Western-style" diet rich in simple carbohydrates, saturated fat,and highly processed food materials.Genetic predisposition to NAFLD does occur;however,a precise definition of genetic factors responsible for NAFLD is still lacking.Specific variants of different genes have been shown to present a risk for NAFLD.Genetic studies might be helpful in the management of the disease by developing novel treatment strategies based on individual’s genotype.     

Mechanisms of inducible resistance against Bacillus thuringiensis endotoxins in invertebrates

Resistance in insect pests against the endotoxin of Bacillus thuringiensis （Berliner） （Bt） is a major threat to the usefulness of this biopesticide, both used as traditional formulations and in transgenic crops. A crucial requirement for the development of successful resistance management strategies is a molecular understanding of the nature and inheritance of resistance mechanisms. This information can be used to design management strategies that will delay or counteract Bt resistance. The best known Bt resistance mechanism is inactivation of brush border membrane receptors. This type of resistance has a largely recessive mode of inheritance, which has enabled the design of resistance management approaches involving high dose and refuge strategies. Recent observations suggest that other resistance mechanisms are possible, including a mechanism that sequesters the toxin in the gut lumen through inducible immune reactions. The elevated immune status associated with tolerance to the toxin can be transmitted to subsequent generations by a maternal effect, which has implications for resistance management in the field. The high dose/refuge strategy may not be appropriate for the management of these alternative resistance mechanisms and other strategies have to be developed if inducible dominant resistance or tolerance mechanisms occur frequently in the field.     

Delayed information induces oscillations in a dynamical model for infectious disease

During disease outbreak,it has been observed that information about the disease prevalence induces the individuafs behavioral changes.This information is usually assumed to be generated by the density of infective individuals and active mass media.The delay in reporting of these infective individuals may have its impact on generated information.Hence,to study the impact of delay on information generation,and therefore on the disease dynamics,a delay differential equation model is proposed and analyzed.The dynamics of information with delay effect is also modeled by a separate rate equation.Model analysis is performed and a unique infected equilibrium is obtained when the basic reproduction number(R0)is greater than one,whereas the disease free equilibrium always exists.When R0<1,the disease free equilibrium is found to be locally stable independent of delay effect.The unique infected equilibrium is found to be locally stable till delay reaches a threshold value.The global stability of the unique infected equilibrium is also established under some parametric conditions by constructing a suitable Lyapunov function.The occurrence of Hopf bifurcation is observed when the delay in information crosses the threshold value.Analytically,the direction and stability of bifurcating periodic solutions is established.Further,we observed the occurrence of Hopf-Hopf bifurcation at two different delays.At first delay threshold,the endemic equilibrium loses its st ability and produces periodic oscillations via Hopf bifurcation.It further regains its stability at second delay threshold via another Hopf bifurcation.Hence,the delay effect on information shows possibility of stability switches.Numerical experiments are carried out to support the obtained analytical results.Our study infers that the disease will show persistent oscillations if there is a significant time lag in reporting of infective after the disease outbreak.Thus,the delay in dissemination of information shows rich and complex dynamics in the model and provides important insights.We also observe numerically that the saturation in information plays a significant role on stability of infected equilibrium in presence of delay.     

Use of human pluripotent stem cells to study and treat retinopathies

Human cell types affected by retinal diseases(such as age-related macular degeneration or retinitis pimentosa) are limited in cell number and of reduced accessibility. As a consequence, their isolation for in vitro studies of disease mechanisms or for drug screening efforts is fastidious. Human pluripotent stem cells(h PSCs), either of embryonic origin or through reprogramming of adult somatic cells,represent a new promising way to generate models of human retinopathies, explore the physiopathological mechanisms and develop novel therapeutic strategies. Disease-specific human embryonic stem cells were the first source of material to be used to study certain disease states. The recent demonstration that human somatic cells, such as fibroblasts or blood cells, can be genetically converted to induce pluripotent stem cells together with the continuous improvement of methods to differentiate these cells into disease-affected cellular subtypes opens new perspectives to model and understand a large number of human pathologies, including retinopathies. This review focuses on the added value of h PSCs for the disease modeling of human retinopathies and the study of their molecular pathological mechanisms. We also discuss the recent use of these cells for establishing the validation studies for therapeutic intervention and for the screening of large compound libraries to identify candidate drugs.     

Biomarkers of Alzheimer’s disease in body fluids

Various innovative diagnostic methods for Alzheimer’s disease (AD) have been developed in view of the increasing preva-lence and consequences of later-life dementia. Biomarkers in cerebrospinal fluid (CSF) and blood for AD are primarily based on the detection of components derived from amyloid plaques and neurofibrillary tangles (NFTs). Published reports on CSF and blood biomarkers in AD indicate that although biomarkers in body fluids may be utilized in the clinical diagnosis of AD, there are no specific markers that permit accurate and reliable diagnosis of early-stage AD or the monitoring of disease pro-gression.     

The Curation of Genetic Variants: Difficulties and Possible Solutions

The curation of genetic variants from biomedical articles is required for various clinical and research purposes. Nowadays, establishment of variant databases that include overall information about variants is becoming quite popular. These databases have immense utility, serving as a user-friendly information storehouse of variants for information seekers. While manual curation is the gold standard method for curation of variants, it can turn out to be time-consuming on a large scale thus necessitating the need for automation. Curation of variants described in biomedical literature may not be straightforward mainly due to various nomenclature and expression issues. Though current trends in paper writing on variants is inclined to the standard nomenclature such that variants can easily be retrieved, we have a massive store of variants in the literature that are present as non-standard names and the online search engines that are predominantly used may not be capable of finding them. For effective curation of variants, knowledge about the overall process of curation, nature and types of difficulties in curation, and ways to tackle the difficulties during the task are crucial. Only by effective curation, can variants be correctly interpreted. This paper presents the process and difficulties of curation of genetic variants with possible solutions and suggestions from our work experience in the field including literature support. The paper also highlights aspects of interpretation of genetic variants and the importance of writing papers on variants following standard and retrievable methods.     

Special Issue on ‘‘Biomarkers for Human Diseases and Translational Medicine'

正The journal Genomics,ProteomicsBioinformatics(GPB)is now inviting submissions for a special issue(to be published in the fall of 2016)on the topic of‘‘Biomarkers for Human Diseases and Translational Medicine’’.In the personalized medicine era,disease biomarkers have potential application in diagnosis,prognosis,and guidance for treatment,and are important tools in translational medicine.Diagnosis upon biomarkers would aid in early and more efficient intervention,while prognostic     

Inflammatory bowel disease requires the interplay between innate and adaptive immune signals

Inflammatory bowl disease （IBD） is a type 1 T helper cell （Th1）-mediated autoimmune disease. Various studies have revealed that environmental pathogens also play a significant role in the initiation and progression of this disease. Interestingly, the pathogenesis of IBD has been shown to be related to nitric oxide （NO） released from innate immune cells. Although NO is known to be highly toxic to the gut epithelia, there is very little information about the regulation of NO production, One major question in the etiology of IBD is how Thl cells and pathogens interact in the induction of IBD. In present study, we focused on the regulation of NO. We show that macrophages require both interferon-γ, （IFN-γ）-mediated and TLR4-mediated signals for the production of NO, which causes inflammation in the intestine and subsequently IBD. Thus, IBD is the result of concerted actions of innate immune signals, such as the binding of LPS to TLR-4, and adaptive immune signals, such as IFN-γ produced by Thl cells.     

Call for Papers Special Issue on “Biomarkers for Autoimmune Diseases”

正The journal Genomics ProteomicsBioinformatics(GPB)is now inviting submissions for a specialissue(to be published in April of 2015)on the topic of"Biomarkers for Autoimmune Diseases".Autoimmune diseases(AIDs)are the third most common category of disease after cancer and heart disease and affect more than 5%of the general population.AIDs result from a complex interaction of genetic and epigenetic     

Modeling CADASIL vascular pathologies with patient-derived induced pluripotent stem cells

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy(CADASIL)is a rare hereditary cerebrovascular disease caused by a NOTCH3 mutation.However,the underlying cellular and molecular mechanisms remain unidentified.Here,we generated non-integrative induced pluripotent stem cells(iPSCs)from fibroblasts of a CADASIL patient harboring a heterozygous NOTCH3 mutation(c.3226C>T,p.R1076C).Vascular smooth muscle cells(VSMCs)differentiated from CADASIL-specific iPSCs showed gene expression changes associated with disease phenotypes,including activation of the NOTCH and NF-kB signaling pathway,cytoskeleton disorganization,and excessive cell proliferation.In comparison,these abnormalities were not observed in vascular endothelial cells(VECs)derived from the patients iPSCs.Importantly,the abnormal upregulation of NF-kB target genes in CADASIL VSMCs was diminished by a NOTCH pathway inhibitor,providing a potential therapeutic strategy for CADASIL.Overall,using this iPSCbased disease model,our study identified clues for studying the pathogenic mechanisms of CADASIL and developing treatment strategies for this disease.     

Call for Papers Special Issue on “Biomarkers for Autoimmune Diseases”

正The journal Genomics ProteomicsBioinformatics(GPB)is now inviting submissions for a special issue(to be published in April of 2015)on the topic of"Biomarkers for Autoimmune Diseases".Autoimmune diseases(AIDs)are the third most common category of disease after cancer and heart disease and affect more than 5%of the general population.AIDs result from a complex interaction of genetic and epigenetic     

Pluripotent Stem Cells Models for Huntington＇s Disease： Prospects and Challenges

Pluripotent cellular models have shown great promise in the study of a number of neurological disorders.Several advantages of using a stem cell model include the potential for cells to derive disease relevant neuronal cell types,providing a system for researchers to monitor disease progression during neurogenesis,along with serving as a platform for drug discovery.A number of stem cell derived models have been employed to establish in vitro research models of Huntington’s disease that can be used to investigate cellular pathology and screen for drug and cell-based therapies.Although some progress has been made,there are a number of challenges and limitations that must be overcome before the true potential of this research strategy is achieved.In this article we review current stem cell models that have been reported,as well as discuss the issues that impair these studies.We also highlight the prospective application of Huntington’s disease stem cell models in the development of novel therapeutic strategies and advancement of personalized medicine.