MiRNAs as potential biomarker of kidney diseases: A review

MicroRNAs (miRNAs) are 22 nucleotides short, non-coding and tissue-specific single-stranded RNA which modulates target gene expression. Presently, shreds of evidence confirmed that miRNAs play a key role in kidney pathophysiology. The objectives of the present review are to summarize new research data towards the latest developments in the potential use of miRNAs as a diagnostic biomarker for kidney diseases. This holistic information will update the existing knowledge of kidney disease biomarkers. “miRNA profile for Diabetic Kidney disease, Acute kidney injury, Renal fibrosis, hemodialysis, transplants, FSGS, IgAN, etc.” are the search keywords which have been used in this review. The search outcome gave an exciting insightful perception of miRNAs competence as a biomarker. Also it is observed that various samples as plasma, urine and biopsies were used for profiling the miRNA expression. The miRNAs were not only used for diagnostic biomarkers but also for therapeutic targets. Each kidney disease showed different miRNAs expression profile and few miRNAs quite common with some kidney diseases. miRNAs are simple and efficient diagnostic biomarkers for kidney diseases.     

Interstitial lung disease in connective tissue diseases: evolving concepts of pathogenesis and management

Interstitial lung disease (ILD) is a challenging clinical entity associated with multiple connective tissue diseases, and is a significant cause of morbidity and mortality. Effective therapies for connective tissue disease-associated interstitial lung disease (CTD-ILD) are still lacking. Multidisciplinary clinics dedicated to the early diagnosis and improved management of patients with CTD-ILD are now being established. There is rapid progress in understanding and identifying the effector cells, the proinflammatory and profibrotic mediators, and the pathways involved in the pathogenesis of CTD-ILD. Serum biomarkers may provide new insights as risk factors for pulmonary fibrosis and as measures of disease progression. Despite these recent advances, the management of patients with CTD-ILD remains suboptimal. Further studies are therefore urgently needed to better understand these conditions, and to develop effective therapeutic interventions.     

Proteomic approaches for studying human parenchymal lung diseases

Parenchymal lung diseases comprise a wide variety of diseases, with different etiologies, pathogeneses and prognoses. This perspective provides an overview of two different disease types: chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. Chronic obstructive pulmonary disease, which is related to smoking, is one of the leading causes of chronic morbidity and mortality around the world, being characterized by airway obstruction and parenchymal lung damage (emphysema). Idiopathic pulmonary fibrosis of unknown etiology is classified as one of the most important idiopathic interstitial pneumonias and is connected to patchy but progressive lung fibrosis. Both diseases are generally diagnosed late and respond poorly to medical therapies. Although numerous biomarkers have been proposed for these diseases, they have not been validated or implemented into clinical practice. This perspective emphasizes some typical features of these diseases with different types of lung damage, how they are reflected in different samples, as well as potential advances and problems of current and future nonbiased proteomic approaches.     

The study of Alzheimer’s disease biomarkers

Alzheimer’s disease (AD) is by far the most common dementing illness of late life and is increasing with the ever-growing number of older adults, in particular, in developed countries. The disease is often referred to as the “Long-Goodbye” because the person with the illness slowly becomes lost to everyone a long time before the body finally gives out. Being able to detect AD earlier on during the course of the disease offers better prospects for the future, for AD individuals, their families and friends as well as on the economy, as a whole. Unfortunately, such a detection technique is not yet, available. However, there are a number of promising biological markers (biomarkers) that correlate well with clinical cognitive tests of individuals and/or postmortem histopathological manifestations of the disease, especially when at least two markers are used for the diagnosis. Biosensors are tools that combine a biochemical binding element to a signal conversion unit and are already being used in the study of some AD biomarkers. However, their use in clinical diagnosis remains a challenge. Introduction of nanotechnology leading to nanobiosensors has several potential advantages over other clinical and/or existing analytical tools, including increased assay speed, flexibility, reduced cost of diagnostic testing, potential to deliver molecular diagnostic tools to family general practitioners, and other health care systems. Even more important, nano-based assays have the potential to detect target proteins at attomolar concentration level. They are, therefore, being increasingly exploited for the detection of early metabolic changes associated with diseases. Because brain damage is irreversible, the use of nanotechnology is particularly important in AD and other neurodegenerative disorders. Nanosensors can also facilitate and enable pointofcare-testing (POCT). This article reviews the basic biochemical processes that lead to AD pathology, current biomarkers for AD, and the current role of nanosensor technology for the study of AD biomarkers. Furthermore, it discusses the huge potential of nanosensing to deliver new molecular diagnostic strategies to AD research.     

Strategies for biomarker discovery in fibrotic disease

The discovery and development of biomarkers for fibrotic diseases have potential utility in clinical decision-making as well as in pharmaceutical research and development. This review describes strategies for identifying diagnostic, prognostic and theranostic biomarkers. A range of technologies and platforms for biomarker discovery are highlighted, including several with specific relevance for fibrosis. Some challenges specific to fibrotic diseases are outlined including; benchmarking biomarkers against imperfect clinical measures of fibrosis, the complexity resulting from diverse aetiologies and target organs, and the availability of samples (including biopsy) from well-characterised patients with fibrotic disease. To overcome these challenges collaboration amongst clinical specialities as well as between academia and industry is essential. This article is part of a Special Issue entitled: Fibrosis: Translation of basic research to human disease.     

DNA Methylation Markers in Lung Cancer

Lung cancer is the most common cancer and the leading cause of cancer-related morbidity and mortality worldwide. As early symptoms of lung cancer are minimal and non-specific, many patients are diagnosed at an advanced stage. Despite a concerted effort to diagnose lung cancer early, no biomarkers that can be used for lung cancer screening and prognosis prediction have been established so far. As global DNA demethylation and gene-specific promoter DNA methylation are present in lung cancer, DNA methylation biomarkers have become a major area of research as potential alternative diagnostic methods to detect lung cancer at an early stage. This review summarizes the emerging DNA methylation changes in lung cancer tumorigenesis, focusing on biomarkers for early detection and their potential clinical applications in lung cancer.     

Proteomics: a new way to improve human African trypanosomiasis diagnosis?

African trypanosomiases, including the human disease referred to as ‘sleeping sickness’ and the animal diseases such as nagana, surra and dourine, are neglected vector-borne diseases that after years of research still need improved diagnosis and chemotherapy. Advances in proteomics offer new tools to define biomarkers, whose expression may reflect host–parasite interactions occurring during the infection. In this review, the authors first describe the current diagnostic tools used to detect a trypanosome infection during field surveys, and then discuss their interests, limits and further evolutions. The authors also report on the contribution of molecular diagnostics, and the recent advances and developments that make it suitable for fieldwork. The authors then explore the recent uses of proteomics technology to define host and parasite biomarkers that allow detection of the infection, the power and constraints of the technology. The authors conclude by discussing the urgent need to use the biomarkers discovered in order to develop tools to improve trypanosomiasis control in the near future.     

Contemporary proteomic strategies for clinical epigenetic research and potential impact for the clinic

Novel proteomic methods are revealing the intricacy of the epigenetic landscape affecting gene regulation and improving our knowledge of the pathogenesis of complex diseases. Despite the enormous amount of data regarding epigenetic modifications present in DNA and histones, deciphering their biological relevance in the context of the disease and health is currently still an ongoing process. Here, we consider the relationship between epigenetic research in tumorigenesis and the prospect of knowledge transfer to clinical use, focusing primarily on the epigenetic histone post-translational modifications, which could be used as biomarkers. We additionally focus on the use of proteomic techniques in research and evaluate their usefulness in clinical setting.     

A generic research paradigm for identification and validation of early molecular diagnostics and new therapeutics in common disorders

Genetically complex disorders continue to confound investigators because of their many underlying factors, both genetic and environmental. In order to tease apart the heritable from the non-heritable contributions to disease, clinicians are relying on researchers in the rapidly expanding fields of high-throughput genomics to identify surrogate clinical endpoints, called biomarkers, that provide a measure of the probability that an individual will succumb to the disease in question. The goals of current biomedical research into complex disorders are to identify and utilize these biomarkers, not only for early detection, but also for personalized treatment with knowledge-guided therapeutics. As the identification of these biomarkers is basically a problem of discovery, we discuss new insights into biomarker detection utilizing the most current genomic technologies available. Additionally, we present here a generic paradigm for the validation of such molecular diagnostics as well as new treatment modalities for complex and increasingly common diseases. Lastly, we delve into the ways genomic biomarkers might be implemented in a clinical setting to allow the subsequent application of targeted therapeutics, which can help the ever expanding groups of individuals experiencing these insidious diseases.     

Maladies à prions humaines

Human prions diseases are rare, fatal, transmissible neurodegenerative diseases, presumably caused by new infectious protein-only agents or prions. The diagnosis is established post mortem by neuropathological examination of the brain. During the clinical course of the disease, cerebrospinal fluid biomarkers are valuable diagnostic tests of the disease in patients with rapidly progressive dementia. The tests accuracy varies among the subtypes of the disease. Researches are in progress for new biomarkers discovery.     

Macrolides: new therapeutic perspectives in lung diseases

There is strong clinical evidence for the effectiveness of macrolides in the treatment of a number of chronic airway diseases through their immunomodulatory effects. Recently, new information has been released supporting the view that macrolides may also be beneficial in pathologic situations associated with altered repair of the alveolar structure, such as those observed in interstitial lung diseases and fibrosis. It is proposed that macrolides may contribute to lung regeneration through their actions on several components of the remodeling process. The present review provides new insights on the effects of macrolides on the regenerative response of alveolar epithelium to injury. It also discusses novel findings which suggest that macrolides may contribute to alveolar surfactant homeostasis.     

结缔组织病伴发疾病分析

目的：对结缔组织病与其常见伴发疾病进行研究分析,探讨肿瘤等疾病与与结缔组织病的相关性。方法：收集确诊有结缔组织病患者共333例,对其临床资料并进行回顾性统计分析。结果：本文中333例结缔组织病中发生肺间质病变79例（23.7%）,发生肿瘤8例（2.4%）,出现肾损害有124例（37.2%）。结论：间质性肺病、肿瘤、肾损害在结缔组织病患者中占一定的比例,其机制可能与结缔组织病本身的病理生理改变、外源性因素等共同作用所致。     

Granulomatous and lymphocytic interstitial lung disease diagnosed by transbronchial lung cryobiopsy

Granulomatous and lymphocytic interstitial lung disease is a pulmonary complication of common variable immune deficiency with significant morbidity and increased mortality. Diagnosis has historically been obtained by surgical lung biopsy as transbronchial biopsy typically yields insufficient tissue for definitive diagnosis from a disease process with a patchy distribution. However, the potential for significant morbidity and mortality with surgical lung biopsy exists, necessitating the development of alternative diagnostic approaches. We present a case of granulomatous and lymphocytic interstitial lung disease confirmed through minimally invasive transbronchial lung cryobiopsy and discuss the role of this modality in diagnosing interstitial lung disease.     

呼吸道传染病治疗中抗体药物的研发进展

呼吸系统疾病影响着全世界数百万人,主要病变发生在气管、支气管、肺部及胸腔,病变轻者多咳嗽、胸痛,重者呼吸困难、缺氧甚至呼吸衰竭,可造成多种并发症,导致患者严重残疾甚至死亡。治疗性抗体的临床使用为肺癌、哮喘以及各类呼吸道传染病等的治疗开辟了新途径。目前已有数十种抗体（antibodies,Abs）获得市场批准,而且还有更多的抗体药物正在临床开发中。这些Abs中的大多数是针对哮喘、肺癌、慢性阻塞性肺病、特发性肺纤维化以及呼吸道传染病等疾病。其中,呼吸道传染病的爆发具有传播迅猛、传染性强的特点,常引发全球关注,如当下肆虐全球的新型冠状病毒肺炎。针对呼吸道传染病的多种Abs为其临床治疗提供了新策略。基于此,综述了已获准和正在临床开发的适用于治疗呼吸道传染病的Abs,通过综述抗体治疗的分子机制、优势和发展趋势,以期为呼吸道传染病治疗中抗体药物的研发提供参考。     

Clinical proteomics: present and future prospects

Advances in proteomics technology offer great promise in the understanding and treatment of the molecular basis of disease. The past decade of proteomics research, the study of dynamic protein expression, post-translational modifications, cellular and sub-cellular protein distribution, and protein-protein interactions, has culminated in the identification of many disease-related biomarkers and potential new drug targets. While proteomics remains the tool of choice for discovery research, new innovations in proteomic technology now offer the potential for proteomic profiling to become standard practice in the clinical laboratory. Indeed, protein profiles can serve as powerful diagnostic markers, and can predict treatment outcome in many diseases, in particular cancer. A number of technical obstacles remain before routine proteomic analysis can be achieved in the clinic; however the standardisation of methodologies and dissemination of proteomic data into publicly available databases is starting to overcome these hurdles. At present the most promising application for proteomics is in the screening of specific subsets of protein biomarkers for certain diseases, rather than large scale full protein profiling. Armed with these technologies the impending era of individualised patient-tailored therapy is imminent. This review summarises the advances in proteomics that has propelled us to this exciting age of clinical proteomics, and highlights the future work that is required for this to become a reality.     

Non-invasive biomarkers of oxidative stress: reproducibility and methodological issues

Oxidative stress is the hallmark of various chronic inflammatory lung diseases. Increased concentrations of reactive oxygen species (ROS) in the lungs of such patients are reflected by elevated concentrations of oxidative stress markers in the breath, airways, lung tissue and blood. Traditionally, the measurement of these biomarkers has involved invasive procedures to procure the samples or to examine the affected compartments, to the patient's discomfort. As a consequence, there is a need for less or non-invasive approaches to measure oxidative stress. The collection of exhaled breath condensate (EBC) has recently emerged as a non-invasive sampling method for real-time analysis and evaluation of oxidative stress biomarkers in the lower respiratory tract airways. The biomarkers of oxidative stress such as H2O2, F2-isoprostanes, malondialdehyde, 4-hydroxy-2-nonenal, antioxidants, glutathione and nitrosative stress such as nitrate/nitrite and nitrosated species have been successfully measured in EBC. The reproducibility, sensitivity and specificity of the methodologies used in the measurements of EBC oxidative stress biomarkers are discussed. Oxidative stress biomarkers also have been measured for various antioxidants in disease prognosis. EBC is currently used as a research and diagnostic tool in free radical research, yielding information on redox disturbance and the degree and type of inflammation in the lung. It is expected that EBC can be exploited to detect specific levels of biomarkers and monitor disease severity in response to appropriate prescribed therapy/treatment.     

Diagnostic and economic evaluation of new biomarkersfor Alzheimer¿s disease: the research protocol of a prospective cohort study

ABSTRACT: BACKGROUND: New research criteria for the diagnosis of Alzheimer's disease (AD) have recently been developed to enable an early diagnosis of AD pathophysiologyby relying on emerging biomarkers. To enable efficient allocation of health care resources, evidence is needed to support decision makers on the adoption of emerging biomarkers in clinical practice. The research goals are to 1) assess the diagnostic test accuracy of current clinical diagnostic work-up and emerging biomarkers in MRI, PET and CSF, 2) perform a cost-consequence analysis and 3) assess long-term cost-effectiveness by an economic model.Methods/designIn a cohort design 223 consecutive patients suspected of having a primary neurodegenerative disease are approached in four academic memory clinics and followed for two years. Clinical data and data on quality of life, costs and emerging biomarkers are gathered.Diagnostic test accuracy is determined by relating the clinical practice and new research criteria diagnoses to the reference diagnosis. The clinical practice diagnosis at baseline is reflected by a consensus procedure among experts using clinical information only (no biomarkers). The diagnosis based on the new research criteria is reflected by decision rules that combine clinical and biomarker information. The reference diagnosis is determined by a consensus procedure among experts based on clinical information on the course of symptoms over a two-year time period.A decision analytic model is built combining available evidence from different resources among which (accuracy) results from the study, literature and expert opinion to assess long-term cost-effectiveness of the emerging biomarkers. DISCUSSION: Several other multi-centre trials study the relative value of new biomarkers for early evaluation of AD and related disorders. The uniqueness of this study is the assessment of resource utilization and quality of life to enable an economic evaluation. The study results are generalizable to a population of patients who are referred to a memory clinic due to their memory problems.Trial registrationNCT01450891.     

Proteomic analysis of human saliva from lung cancer patients using two-dimensional difference gel electrophoresis and mass spectrometry

Lung cancer is often asymptomatic or causes only nonspecific symptoms in its early stages. Early detection represents one of the most promising approaches to reduce the growing lung cancer burden. Human saliva is an attractive diagnostic fluid because its collection is less invasive than that of tissue or blood. Profiling of proteins in saliva over the course of disease progression could reveal potential biomarkers indicative of oral or systematic diseases, which may be used extensively in future medical diagnostics. There were 72 subjects enrolled in this study for saliva sample collection according to the approved protocol. Two-dimensional difference gel electrophoresis combined with MS was the platform for salivary proteome separation, quantification, and identification from two pooled samples. Candidate proteomic biomarkers were verified and prevalidated by using immunoassay methods. There were 16 candidate protein biomarkers discovered by two-dimensional difference gel electrophoresis and MS. Three proteins were further verified in the discovery sample set, prevalidation sample set, and lung cancer cell lines. The discriminatory power of these candidate biomarkers in lung cancer patients and healthy control subjects can reach 88.5% sensitivity and 92.3% specificity with AUC = 0.90. This preliminary data report demonstrates that proteomic biomarkers are present in human saliva when people develop lung cancer. The discriminatory power of these candidate biomarkers indicate that a simple saliva test might be established for lung cancer clinical screening and detection.     

Circulating microRNAs as potential biomarkers for smoking-related interstitial fibrosis

Numerous efforts have been made to indentify reliable and predictive biomarkers to detect the early signs of smoking-induced lung disease. Using 6-month cigarette smoking in mice, we have established smoking-related interstitial fibrosis (SRIF). Microarray analyses and cytokine/chemokine biomarker measurements were made to select circulating microRNAs (miRNAs) biomarkers. We have demonstrated that specific miRNAs species (miR-125b-5p, miR-128, miR-30e, and miR-20b) were significantly changed, both in the lung tissue and in plasma, and exhibited mainstream (MS) exposure duration-dependent pathological changes in the lung. These findings suggested a potential use of specific circulating miRNAs as sensitive and informative biomarkers for smoking-induced lung disease.     

Circulating microRNAs as potential biomarkers for smoking-related interstitial fibrosis

Numerous efforts have been made to indentify reliable and predictive biomarkers to detect the early signs of smoking-induced lung disease. Using 6-month cigarette smoking in mice, we have established smoking-related interstitial fibrosis (SRIF). Microarray analyses and cytokine/chemokine biomarker measurements were made to select circulating microRNAs (miRNAs) biomarkers. We have demonstrated that specific miRNAs species (miR-125b-5p, miR-128, miR-30e, and miR-20b) were significantly changed, both in the lung tissue and in plasma, and exhibited mainstream (MS) exposure duration-dependent pathological changes in the lung. These findings suggested a potential use of specific circulating miRNAs as sensitive and informative biomarkers for smoking-induced lung disease.