Cytokines Released by Human Peripheral Blood Mononuclear Cells Inhibit the Production of Early and Late Cytomegalovirus Proteins

Cytomegalovirus-infected human fibroblasts are susceptible to lysis by natural killer cells and cytotoxic T cells. The purpose of this study was to determine whether non-lytic mechanisms might also contribute to the control of cytomegalovirus infection. The appearance of cytomegalovirus proteins in infected fibroblasts was determined by flow cytometry. Infected fibroblasts incubated with peripheral blood mononuclear cells for 3 days expressed less early and late proteins than fibroblasts incubated without peripheral blood mononuclear cells. Supernatants generated by the cocultivation of peripheral blood mononuclear cells with cytomegalovirus-infected fibroblasts inhibited the production of cytomegalovirus early and late proteins. The soluble factors in supernatants which contributed to the inhibitory effect were identified as interferons α, β and γ, and tumor necrosis factors α and β. The ability of supernatants to inhibit the production of cytomegalovirus early protein was mimicked by combinations of corresponding recombinant cytokines. The inhibition of cytomegalovirus protein production by cytokines produced by peripheral blood mononuclear cells may contribute to early containment of cytomegalovirus infection.     

Blood Lipids Profiling of Preterm Neonates in the First Day of Life for Identification of Early Biomarkers of Sepsis and Pneumonia

Russian Journal of Bioorganic Chemistry - The early period of postnatal development of premature infants is often complicated by bacterial infections, in particular respiratory infections, which in...     

Application of Label-free Quantitative Peptidomics for the Identification of Urinary Biomarkers of Kidney Chronic Allograft Dysfunction

The advent of quantitative proteomics opens new opportunities in biomedical and clinical research. Although quantitative proteomics methods based on stable isotope labeling are in general preferred for biomolecular research, biomarker discovery is a case example of a biomedical problem that may be better addressed by using label-free MS techniques. As a proof of concept of this paradigm, we report the use of label-free quantitative LC-MS to profile the urinary peptidome of kidney chronic allograft dysfunction (CAD). The aim was to identify predictive biomarkers that could be used to personalize immunosuppressive therapies for kidney transplant patients. We detected (by LC-M/MS) and quantified (by LC-MS) 6000 polypeptide ions in undigested urine specimens across 39 CAD patients and 32 control individuals. Although unsupervised hierarchical clustering differentiated between the groups when including all the identified peptides, specific peptides derived from uromodulin and kininogen were found to be significantly more abundant in control than in CAD patients and correctly identified the two groups. These peptides are therefore potential biomarkers that might be used for the diagnosis of CAD. In addition, ions at m/z 645.59 and m/z 642.61 were able to differentiate between patients with different forms of CAD with specificities and sensitivities of 90% in a training set and, significantly, of ∼70% in an independent validation set of samples. Interestingly low expression of uromodulin at m/z 638.03 coupled with high expression of m/z 642.61 diagnosed CAD in virtually all cases. Multiple reaction monitoring experiments further validated the results, illustrating the power of our label-free quantitative LC-MS approach for obtaining quantitative profiles of urinary polypeptides in a rapid, comprehensive, and precise fashion and for biomarker discovery.A major goal of clinical proteomics is to identify biomarkers that can aid in the diagnosis and prognosis of different conditions. In their ideal form, these biomarkers will not only assist the clinician in the diagnosis of a disease, but they will also give directions as to which therapy may be more appropriate for each patient, thus contributing to the development of personalized medicine. In this regard, urine represents an ideal, but yet largely unexplored, source of biomarkers because of the presence of large numbers of small peptides in this biological fluid and because it can be obtained non-invasively.However, although proteomics techniques are instrumental for increasing our understanding of molecular cell biology (1) the impact of proteomics in clinical practice has not yet reached initial expectations perhaps because of technological limitations (2, 3). Using hyphenated methods such as novel LC-MS techniques for quantitative proteomics (4, 5) may prove advantageous for the identification and validation of biomarkers (3, 6). This is because LC-MS allows the detection of proteomes with greater depth, dynamic range, and enhanced accuracy of quantization than when using one-dimensional profiling techniques that record all ions in a single mass spectrum, such as MALDI-TOF MS or SELDI-TOF MS (7). On-line LC-ESI-MS is quantitative in nature because the initial LC separation step contributes to reducing the amount of analytes that are simultaneously ionized, thus reducing the possibility of ion suppression, and because ion formation by electrospray ionization is proportional to analyte concentration (8, 9). Initial reports that used LC-MS for the analysis of the urinary proteome provided proof of principle of the use of this technique for the analysis of urinary polypeptides (10–12), and recently, using new generation LC-MS/MS instrumentation, more than 1500 proteins have been detected in urine (13). Nevertheless despite these advances in our understanding of the qualitative composition of the urinary proteome, precise and comprehensive quantification of urinary polypeptides to discover potential biomarkers remains a challenge.The ideal, and more widely used, strategies to derive quantitative information from LC-MS experiments are based on differential stable isotope labeling of proteins or peptides, which are then mixed and quantified relative to each other in single multidimensional LC-LC-MS experiments (14). This technique, however, is not ideal for biomarker discovery because of problems associated with protein derivatization in a clinical setting, because of its limited throughput, and because, although not impossible, isotope labeling techniques make it difficult to compare a large number of specimens; at present labeling reagents can be used for simultaneous comparison of up to eight protein samples (15).Novel analytical strategies for quantitative proteomics that do not require isotope labeling have been reported (4, 5, 16). These techniques can quantify polypeptides with precisions and accuracies comparable to those based on isotope labeling (17). In addition, such label-free quantitative LC-MS approaches can compare an unlimited number of samples, and it is therefore ideal for biomarker discovery as experimental designs normally involve comparing a large number of specimens to statistically validate the results. Thus, label-free quantitative LC-MS would clearly assist in analyzing the full potential of urine clinical samples as a source of disease biomarkers. The aim of the study presented herein was to prove this concept taking chronic allograft dysfunction (CAD)¹ as a paradigm.During the last years, the incidence and prevalence of end stage renal disease has increased worldwide (18). Successful renal transplantation improves the patients'' quality of life and increases survival as compared with long term dialysis treatment (19). However, despite these improvements, a substantial portion of grafts develop progressive dysfunction and fail within a decade even with the use of appropriate doses of immunosuppressive drugs to prevent acute rejection (20). CAD is responsible for more than 50% of graft losses and remains a central clinical challenge. Although patients can return to dialysis after transplant failure, loss of a functioning graft is associated with a 3-fold increase in the risk of death, a substantial decrease in quality of life for those who survive, and a 4-fold increase in healthcare costs (21).CAD is mediated by a combination of immune, ischemic, and inflammatory stimuli, and multiple pathways and mediators lead to cumulative structural damage to all compartments of the transplanted kidney. Sclerosing changes associated with tubulointerstitial injury are mediated by the processes of active fibrogenesis, resulting in epithelial loss and the phenotype of tubular atrophy and chronic interstitial fibrosis (22). Available diagnostic methods include clinical presentation, biochemical parameters, and biopsies. Currently the only non-invasive biomarker of CAD is serum creatinine and glomerular filtration rate (GFR), but neither is particularly sensitive or specific and may not reflect early alterations (20, 22). At present, biopsy allograft is regarded as the gold standard for the diagnosis of CAD allowing its early detection; however, this is a costly procedure that is associated with clinical complications (23).Clinicians are hence faced with a dilemma. On the one hand, protocol biopsies may detect rejection at an earlier subclinical stage and allow prompt initiation of treatment, which may translate into improved long term graft survival (24). On the other hand, this also implies that patients with preserved graft function, i.e. without CAD, undergo this invasive procedure unnecessarily. Therefore, identification of non-invasive biomarkers for the early diagnosis of CAD would be invaluable for alleviating the major health and economic burden that this condition causes to western countries (25).The aim of the present study was to evaluate whether the urinary peptidome, as analyzed by a novel analytical strategy based on label-free quantification of urinary polypeptides by LC-MS, would differentiate between patients with CAD, those showing stable renal transplant (SRT), and a group of living donors. To our knowledge, this represents the first study reporting urine polypeptide signatures and individual biomarkers that group patients according to their underlying renal phenotype and hence represent potential candidates for non-invasive diagnosis of CAD.     

TLR 2 and 4 Responsiveness from Isolated Peripheral Blood Mononuclear Cells from Rats and Humans as Potential Chronic Pain Biomarkers

Background

Chronic pain patients have increased peripheral blood mononuclear cell Interkeukin-1β production following TLR2 and TLR4 simulation. Here we have used a human-to-rat and rat-to-human approach to further investigate whether peripheral blood immune responses to TLR agonists might be suitable for development as possible systems biomarkers of chronic pain in humans.

Methods and Results

Study 1: using a graded model of chronic constriction injury in rats, behavioral allodynia was assessed followed by in vitro quantification of TLR2 and TLR4 agonist-induced stimulation of IL-1β release by PBMCs and spinal cord tissues (n = 42; 6 rats per group). Statistical models were subsequently developed using the IL-1β responses, which distinguished the pain/no pain states and predicted the degree of allodynia. Study 2: the rat-derived statistical models were tested to assess their predictive utility in determining the pain status of a published human cohort that consists of a heterogeneous clinical pain population (n = 19) and a pain-free population (n = 11). The predictive ability of one of the rat models was able to distinguish pain patients from controls with a ROC AUC of 0.94. The rat model was used to predict the presence of pain in a new chronic pain cohort and was able to accurately predict the presence of pain in 28 out of the 34 chronic pain participants.

Conclusions

These clinical findings confirm our previous discoveries of the involvement of the peripheral immune system in chronic pain. Given that these findings are reflected in the prospective graded rat data, it suggests that the TLR response from peripheral blood and spinal cord were related to pain and these clinical findings do indeed act as system biomarkers for the chronic pain state. Hence, they provide additional impetus to the neuroimmune interaction to be a drug target for chronic pain.     

Early Stage Chronic Kidney Disease Diagnosis by Applying Data Mining Methods to Urinalysis,Blood Analysis and Disease History

Background

Chronic kidney disease (CKD) is a disorder associated with breakdown of kidney structure and function. CKD can be diagnosed in its early stage only by experienced nephrologists and urologists (medical experts) using the disease history, symptoms and laboratory tests. There are few studies related to the automatic diagnosis of CKD in the literature. However, these methods are not adequate to help the medical experts.

Expression of the Integrin-Linked Kinase in a Rat Kidney Model of Chronic Allograft Nephropathy

The purpose of this study was to investigate the expression and significance of integrin-linked kinase (ILK) in the pathogenesis of chronic allograft nephropathy (CAN) in rats. For this, kidneys of Fisher (F344) rats were orthotopically transplanted into Lewis (LEW) rats. The animals were evaluated at 4, 8, 12, 16, and 24 weeks post-transplantation for renal function and histopathology. ILK protein expression was determined by Western-blot and immunohistological assays, and mRNA by RT-PCR. Our data show that 24-h urinary protein excretion in CAN rats increased significantly at week 16 as compared with F344/LEW controls. Allografts showed markedly increased mononuclear cells infiltration and presented with severe interstitial fibrosis and tubular atrophy at 16 and 24 weeks. ILK expression (protein/mRNA) was upregulated in rat kidneys with CAN, and the increase became more significant over time after transplantation. ILK expression correlated significantly with 24-h urinary protein excretion, serum creatinine levels, tubulointerstitial mononuclear cells infiltration, smooth muscle cells (SMCs) migration in vascular wall, and interstitial fibrosis. Therefore, it was concluded that ILK overexpression was the key event that involved mononuclear cells infiltration and vascular SMCs migration at early stage, and interstitial fibrosis and allograft nephroangiosclerosis at later stage of CAN pathogenesis in rats.     

慢性移植性肾病大鼠脾脏中辅助性T细胞和B 细胞免疫状态的研究*

目的:检测慢性移植性肾病(CAN)大鼠脾脏中辅助性T细胞(Th)和B细胞特征性因子表达量的变化,探究这些Th/B细胞免疫状态在CAN病程中的作用。方法:采用Fischer-Lewis左肾原位移植法建立大鼠慢性移植性肾病模型,Lewis-Lewis同种自体移植作为对照组。所有受体大鼠,术后8周处死,取脾脏组织,进行HE染色,拍照后采用双盲法评价脾脏组织病理变化程度及淋巴细胞浸润情况。用Trizol法提取脾脏组织中总RNA,采用实时荧光定量聚合酶链式反应(q RT-PCR)法检测各组脾脏中Th1,Th2,Th17,Treg和B细胞标志性因子的表达情况。结果:与对照组相比,CAN大鼠脾脏出现明显的结构肿胀及淋巴细胞浸润增多,并且Th1细胞特征性因子IFN-γ和T-bet表达量显著增加(P0.001,P0.05);Th2细胞特征性因子GATA-3表达升高(P0.001),但IL-4无变化;IFN-γ/IL-4比例明显上调(P0.001),T-bet/GATA3比例没有显著差异。Th17的特征性因子IL-17未见明显改变,而Treg细胞特征性因子Foxp3表达增加(P0.001),IL-17/Foxp3平衡明显向Treg细胞偏移(P0.05)。B细胞激活相关因子TNFRSF13C和RAG1表达量均显著上调(P0.01,P0.05),而RAG2水平则没有变化。结论:CAN大鼠脾脏中Th1/Th2的活性平衡向Th1偏移,分化平衡未出现显著变化;Th17/Treg的平衡向Treg细胞偏移,B细胞免疫状态也被激活,这些变化在CAN病程的发展中起到了重要作用,并且为临床监测和治疗提供了新的依据。     

Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections

Despite significant research efforts aimed at understanding the neurobiological underpinnings of psychiatric disorders, the diagnosis and the evaluation of treatment of these disorders are still based solely on relatively subjective assessment of symptoms. Therefore, biological markers which could improve the current classification of psychiatry disorders, and in perspective stratify patients on a biological basis into more homogeneous clinically distinct subgroups, are highly needed. In order to identify novel candidate biological markers for major depression and schizophrenia, we have applied a focused proteomic approach using plasma samples from a large case-control collection. Patients were diagnosed according to DSM criteria using structured interviews and a number of additional clinical variables and demographic information were assessed. Plasma samples from 245 depressed patients, 229 schizophrenic patients and 254 controls were submitted to multi analyte profiling allowing the evaluation of up to 79 proteins, including a series of cytokines, chemokines and neurotrophins previously suggested to be involved in the pathophysiology of depression and schizophrenia. Univariate data analysis showed more significant p-values than would be expected by chance and highlighted several proteins belonging to pathways or mechanisms previously suspected to be involved in the pathophysiology of major depression or schizophrenia, such as insulin and MMP-9 for depression, and BDNF, EGF and a number of chemokines for schizophrenia. Multivariate analysis was carried out to improve the differentiation of cases from controls and identify the most informative panel of markers. The results illustrate the potential of plasma biomarker profiling for psychiatric disorders, when conducted in large collections. The study highlighted a set of analytes as candidate biomarker signatures for depression and schizophrenia, warranting further investigation in independent collections.     

影响早期糖尿病肾病预后危险因素探讨分析

目的：探讨研究影响早期糖尿病肾病（DN）预后的主要危险因素,为延缓早期糖尿病肾病向糖尿病终末期肾病进展提供依据。方法：回顾性分析52例旱期DN的临床、实验室及治疗等,临床资料,了解年龄、控制血糖、血压、血脂、尿蛋白对旱期糖尿病肾病预后的影响。结果：50岁以下早期糖尿病肾病患者5年进展为终末期肾病高达25％,明显低于50岁以上的患者（75％）。血糖、血压、血红蛋白、血浆白蛋白、血脂、尿蛋白等指标控制良好的早期糖尿病肾病的预后明显好于控制不佳者（P〈0．05）。结论：控制血糖、血压、血脂、尿蛋白和不吸烟或戒烟对改善早期糖尿病肾病的预后、提高患者生活质量、延长患者的肾存活期和生存期有着十分重要的意义、     

影响早期糖尿病肾病预后危险因素探讨分析

目的:探讨研究影响早期糖尿病肾病(DN)预后的主要危险因素,为延缓早期糖尿病肾病向糖尿病终末期肾病进展提供依据。方法:回顾性分析52例早期DN的临床、实验室及治疗等临床资料,了解年龄、控制血糖、血压、血脂、尿蛋白对早期糖尿病肾病预后的影响。结果:50岁以下早期糖尿病肾病患者5年进展为终末期肾病高达25%,明显低于50岁以上的患者(75%)。血糖、血压、血红蛋白、血浆白蛋白、血脂、尿蛋白等指标控制良好的早期糖尿病肾病的预后明显好于控制不佳者(P<0.05)。结论:控制血糖、血压、血脂、尿蛋白和不吸烟或戒烟对改善早期糖尿病肾病的预后、提高患者生活质量、延长患者的肾存活期和生存期有着十分重要的意义。     

Fluorescently Activated Cell Sorting Followed by Microarray Profiling of Helper T Cell Subtypes from Human Peripheral Blood

Background

Peripheral blood samples have been subjected to comprehensive gene expression profiling to identify biomarkers for a wide range of diseases. However, blood samples include red blood cells, white blood cells, and platelets. White blood cells comprise polymorphonuclear leukocytes, monocytes, and various types of lymphocytes. Blood is not distinguishable, irrespective of whether the expression profiles reflect alterations in (a) gene expression patterns in each cell type or (b) the proportion of cell types in blood. CD4⁺ Th cells are classified into two functionally distinct subclasses, namely Th1 and Th2 cells, on the basis of the unique characteristics of their secreted cytokines and their roles in the immune system. Th1 and Th2 cells play an important role not only in the pathogenesis of human inflammatory, allergic, and autoimmune diseases, but also in diseases that are not considered to be immune or inflammatory disorders. However, analyses of minor cellular components such as CD4⁺ cell subpopulations have not been performed, partly because of the limited number of these cells in collected samples.

Methodology/Principal Findings

We describe fluorescently activated cell sorting followed by microarray (FACS–array) technology as a useful experimental strategy for characterizing the expression profiles of specific immune cells in the circulation. We performed reproducible gene expression profiling of Th1 and Th2, respectively. Our data suggest that this procedure provides reliable information on the gene expression profiles of certain small immune cell populations. Moreover, our data suggest that GZMK, GZMH, EOMES, IGFBP3, and STOM may be novel markers for distinguishing Th1 cells from Th2 cells, whereas IL17RB and CNTNAP1 can be Th2-specific markers.

Conclusions/Significance

Our approach may help in identifying aberrations and novel therapeutic or diagnostic targets for diseases that affect Th1 or Th2 responses and elucidating the involvement of a subpopulation of immune cells in some diseases.     

Identification of Putative Biomarkers for the Early Stage of Porcine Spermatogonial Stem Cells Using Next-Generation Sequencing

To identify putative biomarkers of porcine spermatogonial stem cells (pSSCs), total RNA sequencing (RNA-seq) analysis was performed on 5- and 180-day-old porcine testes and on pSSC colonies that were established under low temperature culture conditions as reported previously. In total, 10,184 genes were selected using Cufflink software, followed by a logarithm and quantile normalization of the pairwise scatter plot. The correlation rates of pSSCs compared to 5- and 180-day-old testes were 0.869 and 0.529, respectively and that between 5- and 180-day-old testes was 0.580. Hierarchical clustering data revealed that gene expression patterns of pSSCs were similar to 5-day-old testis. By applying a differential expression filter of four fold or greater, 607 genes were identified between pSSCs and 5-day-old testis, and 2118 genes were identified between the 5- and 180-day-old testes. Among these differentially expressed genes, 293 genes were upregulated and 314 genes were downregulated in the 5-day-old testis compared to pSSCs, and 1106 genes were upregulated and 1012 genes were downregulated in the 180-day-old testis compared to the 5-day-old testis. The following genes upregulated in pSSCs compared to 5-day-old testes were selected for additional analysis: matrix metallopeptidase 9 (MMP9), matrix metallopeptidase 1 (MMP1), glutathione peroxidase 1 (GPX1), chemokine receptor 1 (CCR1), insulin-like growth factor binding protein 3 (IGFBP3), CD14, CD209, and Kruppel-like factor 9 (KLF9). Expression levels of these genes were evaluated in pSSCs and in 5- and 180-day-old porcine testes. In addition, immunohistochemistry analysis confirmed their germ cell-specific expression in 5- and 180-day-old testes. These finding may not only be useful in facilitating the enrichment and sorting of porcine spermatogonia, but may also be useful in the study of the early stages of spermatogenic meiosis.     

肝移植急性排斥反应时外周血Th17细胞的特征及意义

目的:观测肝移植患者术前及术后急性排斥时外周血中Th17细胞频率变化特征,探讨其与肝移植术后急性排斥发生的关系。方法:对18例于我院进行肝移植手术的患者进行随访研究,应用流式细胞仪检测各随访点外周血中Th17细胞频率。随访期间发生急性排斥反应的患者为急排组(n=7,男女比为5/2),未发生急性排斥反应者为非急排组(n=11,男女比为8/3),比较两组患者肝移植前后外周血中Th17细胞频率的变化规律。结果:急排组与非急排组患者肝移植术前外周血中Th17细胞频率无统计学差异(P=0.672),而急排组患者发生急性排斥反应时与非急排组患者相比Th17细胞频率明显升高(P=0.002)。在随访研究中,急排组患者在发生急性排斥反应时外周血中Th17细胞频率较未发生急性排斥反应时增高,且Th17细胞频率与ALT变化趋势一致,呈明显正性相关。而非急排组患者术后随访期间外周血中Th17细胞频率无统计学差异。结论:肝移植患者术后发生急性排斥反应时外周血中Th17细胞频率明显升高,变化趋势与ALT水平一致,呈正性相关,可能成为诊断急性排斥反应的潜在指标。     

The Renal Arterial Resistive Index and Stage of Chronic Kidney Disease in Patients with Renal Allograft

Objective

The study investigated the optimal threshold value of renal arterial resistive index as assessed by Doppler ultrasonography determining chronic kidney disease stage 4 or higher in patients with renal allograft.

Methods

In a cross-sectional study the renal arterial resistive index were obtained in interlobar arteries by Doppler ultrasonography in 78 patients with renal allograft. The stage of chronic kidney disease was determined by the estimated glomerular filtration rate equation.

Results

The median renal arterial resistive index was 0.61 (interquartile range, 0.56 to 0.66). We observed a significant association between renal arterial resistive index above the upper quartile and chronic kidney disease stage 4 or higher (relative risk, 4.64; 95% confidence interval, 1.71 to 12.55; p = 0.003 by Fisher’s exact test). Multivariate logistic regression analysis showed that renal arterial resistive indices (p = 0.02) and time since transplantation (p = 0.04), but not age, gender, or blood pressure were significantly associated with chronic kidney disease stage 4 or higher.

Conclusion

A renal arterial resistive index higher than 0.66 may determine the threshold value of chronic kidney disease stage 4 or higher in patients with renal allograft.     

Chronic Academic Stress Increases a Group of microRNAs in Peripheral Blood

MicroRNAs (miRNAs) play key roles in regulation of cellular processes in response to changes in environment. In this study, we examined alterations in miRNA profiles in peripheral blood from 25 male medical students two months and two days before the National Examination for Medical Practitioners. Blood obtained one month after the examination were used as baseline controls. Levels of seven miRNAs (miR-16, -20b, -26b, -29a, -126, -144 and -144*) were significantly elevated during the pre-examination period in association with significant down-regulation of their target mRNAs (WNT4, CCM2, MAK, and FGFR1 mRNAs) two days before the examination. State anxiety assessed two months before the examination was positively and negatively correlated with miR-16 and its target WNT4 mRNA levels, respectively. Fold changes in miR-16 levels from two days before to one month after the examination were inversely correlated with those in WNT4 mRNA levels over the same time points. We also confirmed the interaction between miR-16 and WNT4 3′UTR in HEK293T cells overexpressing FLAG-tagged WNT4 3′UTR and miR-16. Thus, a distinct group of miRNAs in periheral blood may participate in the integrated response to chronic academic stress in healthy young men.     

胰腺癌早期检测的生物标志物（英文）

胰腺癌症是最难诊断和治疗的恶性肿瘤之一,其特点是发病隐匿、进展迅速、预后差。目前,手术治疗仍然是首选治疗方法。然而由于缺乏早期症状,大约70%的患者在确诊时已经出现局部扩散或远端转移,从而无法进行手术治疗。由此看来,早期检测是提高患者治疗效果和预后的有效途径。临床上使用的成像方法 （CT、MRI、EUS等）通常无法检测早期病变,并且很容易受到操作员的影响。常规临床标志物如CA19-9、CA125、CA242和CEA受到限制,其敏感性或特异性不令人满意。因此,寻找新的具有高敏感性和特异性的标志物是实现胰腺癌早期检测的关键。近年来,对生物标志物的广泛研究主要集中在遗传学、转录组学和蛋白质组学上。特别是由microRNA(miRNA)、long non-coding RNA(lncRNA)和circRNA(circRNA)组成的非蛋白质编码RNA(non-protein coding RNA,ncRNA)为胰腺癌的早期检测提出了许多新思路。然而,其中绝大多数仍处于实验室研究阶段。而一项成熟的生物标志物研究应该整合基因组学、转录组学、蛋白质组学或代谢组学的数据,并结合患者的个体特征（如体重指数...