Proteomics and syndrome of Chinese medicine

Syndrome of Chinese medicine is an understanding of the regularity of disease occurrence and development and its performance of symptoms. Syndrome is the key to recognize diseases and the foundation to treat them. However, because of the complexity of the concept and the limitation of present investigations, the research of syndrome is hard to go further. Proteomics has been received extensive attention in the area of medical diagnosis and drug development. In the holistic and systemic context, proteomics have a convergence with traditional Chinese medicine (TCM) syndrome, which could overcome the one-sidedness and singleness of TCM and avoid the complication and tedious processes. Chinese medicine has a wealth of experience and proteomics has a substantial research potential, the integration of the two aspects will bring a great enhancement of our knowledge of disease.     

Personalized diagnostics and biosensors: a review of the biology and technology needed for personalized medicine

Abstract

Exploiting the burgeoning fields of genomics, proteomics and metabolomics improves understanding of human physiology and, critically, the mutations that signal disease susceptibility. Through these emerging fields, rational design approaches to diagnosis, drug development and ultimately personalized medicine are possible. Personalized medicine and point-of-care testing techniques must fulfill a host of constraints for real-world applicability. Point-of-care devices (POCDs) must ultimately provide a cost-effective alternative to expensive and time-consuming laboratory tests in order to assist health care personnel with disease diagnosis and treatment decisions. Sensor technologies are also expanding beyond the more traditional classes of biomarkers – nucleic acids and proteins – to metabolites and direct detection of pathogens, ultimately increasing the palette of available techniques for the use of personalized medicine. The technologies needed to perform such diagnostics have also been rapidly evolving, with each generation being increasingly sensitive and selective while being more resource conscious. Ultimately, the final hurdle for all such technologies is to be able to drive consumer adoption and achieve a meaningful medical outcome for the patient.     

从文献计量看个性化医学国际发展态势

该文选取当前生物医学发展的前沿领域——个性化医学领域,以美国科技信息所科学引文指标数据库(SCI-Expanded)为信息源,德温特数据分析家(Thomson Data Analyzer)为工具,对1999?2009年间,全球个性化医学研究领域发表的论文进行了文献计量学分析,以了解世界个性化医学的发展态势,为我国提升个性化医学的研究提供参考依据。     

PREDICT: a method for inferring novel drug indications with application to personalized medicine

Inferring potential drug indications, for either novel or approved drugs, is a key step in drug development. Previous computational methods in this domain have focused on either drug repositioning or matching drug and disease gene expression profiles. Here, we present a novel method for the large‐scale prediction of drug indications (PREDICT) that can handle both approved drugs and novel molecules. Our method is based on the observation that similar drugs are indicated for similar diseases, and utilizes multiple drug–drug and disease–disease similarity measures for the prediction task. On cross‐validation, it obtains high specificity and sensitivity (AUC=0.9) in predicting drug indications, surpassing existing methods. We validate our predictions by their overlap with drug indications that are currently under clinical trials, and by their agreement with tissue‐specific expression information on the drug targets. We further show that disease‐specific genetic signatures can be used to accurately predict drug indications for new diseases (AUC=0.92). This lays the computational foundation for future personalized drug treatments, where gene expression signatures from individual patients would replace the disease‐specific signatures.     

Proenkephalin and risk of developing chronic kidney disease: the Prevention of Renal and Vascular End-stage Disease study

Background: Proenkephalin (pro-ENK) was recently found to be associated with low estimated glomerular filtration rate (eGFR). The association of pro-ENK with urinary albumin excretion (UAE), another marker for chronic kidney disease (CKD), has not been investigated. We examined the association of pro-ENK with eGFR and UAE as markers of CKD.

Methods: We included 4375 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study. CKD_eGFR was defined as development of eGFR?<60?ml/min/1.73 m² and CKD_UAE as albuminuria?>30?mg/24?h.

Results: Baseline median pro-ENK was 52.2 (IQR: 44.9–60.5) pmol/L. After a median follow-up of 8.4 (IQR: 7.9–8.9) years, 183 subjects developed CKD_eGFR and 371 developed CKD_UAE. The association of pro-ENK with CKD_eGFR was modified by sex (P_interaction?SD increase in ¹⁰log-transformed pro-ENK, 1.65; 95% CI: 1.15–2.36) and not in women (0.83; 0.58–1.20). No significant association was observed between pro-ENK and CKD_UAE risk (0.83; 0.58–1.20).

Conclusions: High pro-ENK is associated with increased risk of CKD_eGFR in men, but not in women. No association of pro-ENK with CKD_UAE was observed. These results should be interpreted with caution, since residual confounding and potential overfitting of models could have influenced the results.     

Genetic Profile and Functional Proteomics of Anal Squamous Cell Carcinoma: Proposal for a Molecular Classification

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Highlights

• •Two molecular groups in anal squamous carcinoma according proteomic profile.
• •Differences in possible targeted processes such as metabolism or immune response.
• •Different percentage of tumor lymphocyte infiltration.
• •Difference in the frequency of ATM variants, related to PPAR inhibitors.

     

吸烟对肺组织D4-GDI表达的影响及其与慢性阻塞性肺疾病相关性的蛋白质组学研究

慢性阻塞性肺疾病(COPD)是环境因素与遗传因素共同作用的结果,而吸烟是导致COPD发生的最主要危险因素,然而,吸烟导致COPD的机制及COPD的遗传易感机制目前尚未完全阐明．蛋白质组学研究方法具有高效和信息含量丰富的特点,为COPD研究提供了有力的帮助,被认为在COPD的研究领域具有广阔的前景．运用二维凝胶电泳和基质辅助激光解吸电离飞行时间质谱蛋白质组学研究方法结合生物信息学技术,对不吸烟者、非COPD吸烟者和吸烟COPD患者的肺组织进行蛋白质组比较,共鉴定出24种表达差异蛋白．研究发现,非COPD吸烟者肺组织ρ-GDP解离抑制因子2(D4-GDI)表达水平为不吸烟者的1.7倍,吸烟COPD患者肺组织D4-GDI表达水平接近非COPD吸烟者的2倍．通过免疫组织化学染色和Western-blotting检测对肺组织D4-GDI表达水平进行验证,获得了与蛋白质组学研究相一致的结果．结果首次说明：吸烟能够导致肺组织D4-GDI表达水平升高,D4-GDI参与了COPD的发病机制而且可能与COPD易感性相关．     

Nanomedicines in the treatment of anemia in renal disease: focus on CERA (Continuous Erythropoietin Receptor Activator)

Anemia is a common complication of chronic kidney disease (CKD), with erythropoietin deficiency being the major contributing factor. The availability of erythropoiesis-stimulating agents (ESAs) has been a seminal advance in the treatment of anemia related to chronic kidney disease. Over the course of the last decade and a half, newer generations of ESAs have become available. The first-generation ESAs or epoetins have a relatively shorter half-life and have traditionally been administered up to 3 times per week intravenously or subcutaneously to maintain adequate hemoglobin (Hb) levels. At the turn of the century, darbepoetin alfa, a hyperglycosylated form, became available for clinical use. It conferred greater metabolic stability in vivo owing to two additional N-linked carbohydrate chains attached to the protein backbone and has a half-life 3 times longer than that of epoetin. Recently developed and undergoing phase III clinical trials is the third-generation ESA, Continuous Erythropoiesis Receptor Activator (CERA), which has a methoxy-polyethylene glycol polymer chain integrated and has a longer elimination half-life than the first- and second-generation ESAs. Its receptor binding characteristics also differ from those of previous ESAs. Its major advantage is that extended dosing intervals are possible in the management of anemia related to erythropoietin deficiency.     

Proteomics in cardiovascular disease: recent progress and clinical implication and implementation

Introduction: Although multiple efforts have been initiated to shed light into the molecular mechanisms underlying cardiovascular disease, it still remains one of the major causes of death worldwide. Proteomic approaches are unequivocally powerful tools that may provide deeper understanding into the molecular mechanisms associated with cardiovascular disease and improve its management.

Areas covered: Cardiovascular proteomics is an emerging field and significant progress has been made during the past few years with the aim of defining novel candidate biomarkers and obtaining insight into molecular pathophysiology. To summarize the recent progress in the field, a literature search was conducted in PubMed and Web of Science. As a result, 704 studies from PubMed and 320 studies from Web of Science were retrieved. Findings from original research articles using proteomics technologies for the discovery of biomarkers for cardiovascular disease in human are summarized in this review.

Expert commentary: Proteins associated with cardiovascular disease represent pathways in inflammation, wound healing and coagulation, proteolysis and extracellular matrix organization, handling of cholesterol and LDL. Future research in the field should target to increase proteome coverage as well as integrate proteomics with other omics data to facilitate both drug development as well as clinical implementation of findings.     

Developmental engineering the kidney: Leveraging principles of morphogenesis for renal regeneration

Multiple methodological approaches are currently under active development for application in tissue engineering and regenerative medicine of tubular and solid organs. Most recently, developmental engineering (TE/RM), or the leveraging of embryonic and morphological paradigms to recapitulate aspects of organ development, has been proposed as a strategy for the sequential, iterative de novo assembly of tissues and organs as discrete developmental modules ex vivo, prior to implantation in vivo. In this article, we focus on the kidney to highlight in detail how principles of developmental biology are impacting approaches to TE of this complex solid organ. Ultimately, such methodologies may facilitate the establishment of clinically relevant therapeutic strategies for regeneration of renal structure and function, greatly impacting treatment regimens for chronic kidney disease. Birth Defects Research (Part C) 96:30–38, 2012. © 2012 Wiley Periodicals, Inc.     

LncRNAs as potential diagnostic and prognostic biomarkers in gastric cancer: A novel approach to personalized medicine

Gastric cancer is the third leading cause of cancer death with 5-year survival rate of about 30–35%. Since early detection is associated with decreased mortality, identification of novel biomarkers for early diagnosis and proper management of patients with the best response to therapy is urgently needed. Long noncoding RNAs (lncRNAs) due to their high specificity, easy accessibility in a noninvasive manner, as well as their aberrant expression under different pathological and physiological conditions, have received a great attention as potential diagnostic, prognostic, or predictive biomarkers. They may also serve as targets for treating gastric cancer. In this review, we highlighted the role of lncRNAs as tumor suppressors or oncogenes that make them potential biomarkers for the diagnosis and prognosis of gastric cancer. Relatively, lncRNAs such as H19, HOTAIR, UCA1, PVT1, tissue differentiation-inducing nonprotein coding, and LINC00152 could be potential diagnostic and prognostic markers in patients with gastric cancer. Also, the impact of lncRNAs such as ecCEBPA, MLK7-AS1, TUG1, HOXA11-AS, GAPLINC, LEIGC, multidrug resistance-related and upregulated lncRNA, PVT1 on gastric cancer epigenetic and drug resistance as well as their potential as therapeutic targets for personalized medicine was discussed.     

Antithrombin III prevents progression of chronic kidney disease following experimental ischaemic‐reperfusion injury

Acute kidney disease (AKI) leads to increased risk of progression to chronic kidney disease (CKD). Antithrombin III (ATIII) is a potent anticoagulant with anti‐inflammatory properties, and we previously reported that insufficiencies of ATIII exacerbated renal ischaemia‐reperfusion injury (IRI) in rats. In this study, we examined the characteristic of AKI‐CKD transition in rats with two distinct AKI models. Based on our observation, left IRI plus right nephrectomy (NX‐IRI) was used to determine whether ATIII had therapeutic effects in preventing CKD progression after AKI. It was observed that NX‐IRI resulted in significant functional and histological damage at 5 weeks after NX‐IRI compared with sham rats, which was mitigated by ATIII administration. Besides, we noticed that ATIII administration significantly reduced NX‐IRI‐induced interstitial fibrosis. Consistently, renal expression of collagen‐1, α‐smooth muscle actin and fibronectin were substantial diminished in ATIII‐administered rats compared with un‐treated NX‐IRI rats. Furthermore, the beneficial effects of ATIII were accompanied with decreased M1‐like macrophage recruitment and down‐regulation of M1‐like macrophage‐dependent pro‐inflammatory cytokines such as tumour necrosis factor α, inducible nitric oxide synthase and interleukin‐1β, indicating that ATIII prevented AKI‐CKD transition via inhibiting inflammation. Overall, ATIII shows potential as a therapeutic strategy for the prevention of CKD progression after AKI.     

Role of endoplasmic reticulum stress and autophagy in the transition from acute kidney injury to chronic kidney disease

Acute kidney injury (AKI) and chronic kidney disease (CKD) are global health concerns with increasing rates in morbidity and mortality. Transition from AKI-to-CKD is common and requires awareness in the management of AKI survivors. AKI-to-CKD transition is a main risk factor for the development of cardiovascular disease and progression to end-stage kidney disease. The mechanisms driving AKI-to-CKD transition are being explored to identify potential molecular and cellular targets for renoprotective drug interventions. Endoplasmic reticulum (ER) stress and autophagy are involved in the process of AKI-to-CKD transition. Excessive ER stress results in the persistent activation of unfolded protein response, which is an underneath cause of kidney cell death. Moreover, ER stress modulates autophagy and vice-versa. Autophagy is a degradation defensive mechanism protecting cells from malfunction. However, the underlying pathological mechanism involved in this interplay in the context of AKI-to-CKD transition is still unclear. In this review, we discuss the crosstalk between ER stress and autophagy in AKI, AKI-to-CKD transition, and CKD progression. In addition, we explore possible therapeutic targets that can regulate ER stress and autophagy to prevent AKI-to-CKD transition to improve the long-term prognosis of AKI survivors.