Potential Biomarkers For Early Diagnosis Research Articles

Current and novel theranostic modalities for knee osteoarthritis

 Osteoarthritis is the second most common disorder after heart disease. This progressive degenerative disease affects the knee joint more than any others. The exact etiology of knee osteoarthritis is not clear, however, there are many predisposing factors such as obesity, age, gender, etc., that can increase the incidence and prevalence of this disease. Early diagnosis in knee osteoarthritis is very important. Despite the variety of diagnostic methods, lack of a valid and reliable diagnostic approach to detect the disorder in early stages has always been a challenge for researchers. Establishing an efficient therapeutic protocol for these patients is another crucial challenge. Recently, in addition to conventional treatments, which are surgical and non-surgical, tissue engineering and regenerative medicine as novel therapeutic modalities have received remarkable attention. In this paper, current diagnostic and therapeutic methods for knee osteoarthritis are discussed and potential biomarkers for early diagnosis and monitoring the clinical condition are discussed.

Recent advances in blood and gut microbiota biomarkers for Alzheimer’s disease

<p indent="0mm">Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases, with a high prevalence among the elderly. However, the mechanism of its occurrence is not clear, and there is a lack of convenient means of early diagnosis, which makes it difficult to intervene in and treat the disease in its early stage. In recent years, with the development of mass spectrometry, immunological methods and other new technologies, potential biomarkers for early diagnosis and disease monitoring of Alzheimer’s disease have been identified, including peripheral blood Aβ, p-tau, exosomes, miRNA, and intestinal bacteria. In this article, we reviewed the current research status of AD peripheral blood biomarkers and AD-related intestinal microbiota biomarkers, in order to provide a reference for the early diagnosis and prediction of the disease progression.

Circular RNA expression alteration and bioinformatics analysis in patients with acute cerebral infarction injury

ABSTRACT In recent years, a steady increase has been detected in the incidence of acute cerebral infarction (ACI). ACI is caused by blood flow disruption, leading to high disability and mortality rates. Understanding the underlying molecular mechanisms is critical toward developing effective therapeutic approaches. Circular RNAs (circRNAs) are an important class of non-coding RNAs, which have been implicated in several molecular pathways, and their dysregulation has been described in several disease conditions. Here, we set out to explore the possible regulatory role of circRNAs in ischemic stroke and study their molecular function in disease. First, we applied high-throughput sequencing techniques to identify the differential changes of plasma circRNAs expression in patients with acute cerebral infarction. Next, we used GO and KEGG pathway analysis to predict the function of differentially expressed circRNAs. Moreover, we have assessed the possible interaction between the identified differentially expressed circRNAs and miRNAs. Finally, we have selected and validated five downregulated circRNAs by RT-qPCR. Together, the results of this study provide evidence that circRNAs are potential biomarkers for early diagnosis of cerebral infarction and have to be considered as targets for drug treatment.

Long non-coding RNA LINC01194 promotes the inflammatory response and apoptosis of lipopolysaccharide-treated MLE-12 cells through the miR-203a-3p/MIP-2 axis.

Acute lung injury (ALI) induced by bacteria lipopolysaccharide (LPS) is characterized by the upregulation of the apoptosis rate of tissue cells and aggravation of inflammatory response. Although many studies have focused on the pathogenesis of this disease, its mechanism remains unknown. This study examined the regulatory role of long non-coding RNA (lncRNA) LINC01194 in the progression of ALI through various bioinformatics analyses and experimental work, including ELISA assay, dual-luciferase reporter assay, biotinylated RNA pull-down assay, and Western blot analysis. The result showed that the LINC01194 was overexpressed in the ALI-induced mice model. We observed a significant upregulation of LINC01194 in LPS-treated mouse lung epithelial type II cells (MLE-12 cells) after 24 h of induction. Bioinformatics analysis, ELISA assay, quantitative reverse transcription polymerase chain reaction analysis, biotinylated RNA pull-down assay, apoptosis test, and Western blot analysis demonstrated that the LINC01194 could act as a microRNA (miR) miR-203a-3p sponge to activate the inflammatory response in LPS-induced ALI model through post-transcriptional upregulation of macrophage inflammatory protein (MIP-2). We showed that LINC01194 regulates the inflammatory response and apoptosis of LPS-induced mice and MLE-12 cells via the miR-203a-3p/MIP-2 axis. LINC01194 could be a potential biomarker for early diagnosis and the treatment of ALI.

Plasma SNORD83A as a potential biomarker for early diagnosis of non-small-cell lung cancer.

Aim: This study aimed to access the efficacy of plasma small nucleolar RNAs in early diagnosis of non-small-cell lung cancer (NSCLC). Methods: SNORD83A was selected based on databases and further verified in 48 paired formalin-fixed, paraffin-embeddedtissues, as well as in plasma from 150 NSCLC patients and 150 healthy donors. The diagnostic efficiency of plasma SNORD83A, as well as in combinationwith carcinoembryonic antigen, was determined by receiver operating characteristic analysis. Results: SNORD83A was significantly increased not only in tissues but also in plasma from NSCLC patients compared with those from healthy donors. Plasma SNORD83A wasable to act as adiagnostic biomarker for NSCLC. The diagnostic efficiency of carcinoembryonic antigen was alsosignificantly elevatedfor early-stage NSCLC when combined with SNORD83A. Conclusion: SNORD83A can serve as adiagnostic biomarker for NSCLC.

Advances of Exosomal miRNAs in Breast Cancer Progression and Diagnosis.

Breast cancer is one of the most commonly diagnosed malignancies and the leading cause of cancer death in women worldwide. Although many factors associated with breast cancer have been identified, the definite etiology of breast cancer is still unclear. In addition, early diagnosis of breast cancer remains challenging. Exosomes are membrane-bound nanovesicles secreted by most types of cells and contain a series of biologically important molecules, such as lipids, proteins, and miRNAs, etc. Emerging evidence shows that exosomes can affect the status of cells by transmitting substances and messages among cells and are involved in various physiological and pathological processes. In breast cancer, exosomes play a significant role in breast tumorigenesis and progression through transfer miRNAs which can be potential biomarkers for early diagnosis of breast cancer. This review discusses the potential utility of exosomal miRNAs in breast cancer progression such as tumorigenesis, metastasis, immune regulation and drug resistance, and further in breast cancer diagnosis.

LASSO and Bioinformatics Analysis in the Identification of Key Genes for Prognostic Genes of Gynecologic Cancer.

The aim of this study is to identify potential biomarkers for early diagnosis of gynecologic cancer in order to improve survival. Cervical cancer (CC) and endometrial cancer (EC) are the most common malignant tumors of gynecologic cancer among women in the world. As the underlying molecular mechanisms in both cervical and endometrial cancer remain unclear, a comprehensive and systematic bioinformatics analysis is required. In our study, gene expression profiles of GSE9750, GES7803, GES63514, GES17025, GES115810, and GES36389 downloaded from Gene Expression Omnibus (GEO) were utilized to analyze differential gene expression between cancer and normal tissues. A total of 78 differentially expressed genes (DEGs) common to CC and EC were identified to perform the functional enrichment analyses, including gene ontology and pathway analysis. KEGG pathway analysis of 78 DEGs indicated that three main types of pathway participate in the mechanism of gynecologic cancer such as drug metabolism, signal transduction, and tumorigenesis and development. Furthermore, 20 diagnostic signatures were confirmed using the least absolute shrink and selection operator (LASSO) regression with 10-fold cross validation. Finally, we used the GEPIA2 online tool to verify the expression of 20 genes selected by the LASSO regression model. Among them, the expression of PAMR1 and SLC24A3 in tumor tissues was downregulated significantly compared to the normal tissue, and found to be statistically significant in survival rates between the CC and EC of patients (p < 0.05). The two genes have their function: (1.) PAMR1 is a tumor suppressor gene, and many studies have proven that overexpression of the gene markedly suppresses cell growth, especially in breast cancer and polycystic ovary syndrome; (2.) SLC24A3 is a sodium–calcium regulator of cells, and high SLC24A3 levels are associated with poor prognosis. In our study, the gene signatures can be used to predict CC and EC prognosis, which could provide novel clinical evidence to serve as a potential biomarker for future diagnosis and treatment.

Carbon Nanotube Field-Effect Transistor Biosensor for Ultrasensitive and Label-Free Detection of Breast Cancer Exosomal miRNA21.

Tumor-derived exosomal miRNAs may have important functions in the onset and progression of cancers and are potential biomarkers for early diagnosis and prognosis monitoring. Yet, simple, sensitive, and label-free detection of exosomal miRNAs remains challenging. Herein, an ultrasensitive, label-free, and stable field-effect transistor (FET) biosensor based on a polymer-sorted high-purity semiconducting carbon nanotube (CNT) film is reported to detect exosomal miRNA. Different from conventional CNT FETs, the CNT FET biosensors employed a floating gate structure using an ultrathin Y2O3 as an insulating layer, and assembled Au nanoparticles (AuNPs) on Y2O3 as linkers to anchor probe molecules. A thiolated oligonucleotide probe was immobilized on the AuNP surface of the sensing area, after which miRNA21 was detectable by monitoring the current change before and after hybridization between the immobilized DNA probe and target miRNA. This method achieved both high sensitivity (LOD: 0.87 aM) and high specificity. Furthermore, the FET biosensor was employed to test clinical plasma samples, showing significant differences between healthy people and breast cancer patients. The CNT FET biosensor shows the potential applications in the clinical diagnosis of breast cancer.

The role of cyclic GMP-AMP synthase and Interferon-I-inducible protein 16 as candidatebiomarkers of systemic lupus erythematosus

BackgroundDiverse clinical and serological manifestations of systemic lupus erythematosus (SLE) compromise its diagnosis and treatment. A more reliable biomarker for SLE, which can play a critical role in either diagnosis, monitoring the disease progress or evaluating the response to treatment for individualized therapeutic, is necessary. DNA sensor is an important mediator of inflammation in systemic autoimmune diseases. However, the potential role for DNA sensor as disease activity biomarkers for SLE remained obscure. We detected the aberrant activation of DNA sensors and the corresponding IFN-β response in SLE patients, and to evaluate their potential role as disease biomarkers for SLE. MethodsWe quantified the expressions of IFN-I and DNA sensor, such as cGAS, IFI16, DDX41, DAI and their down-stream adaptor STING in PBMC derived from patients with SLE (n = 100), healthy controls (HCs) (n = 62) by real-time PCR. The relationships between the expression of cGAS or IFI16 and clinical features in SLE patients were investigated. ROC curve analysis was performed to examine the predictive value of cGAS and IFI16 in SLE diagnosis, disease activity monitoring, specific organ manifestation and therapeutic response. RNA interference-mediated depletion of IFI16 or cGAS was conducted to evaluate their impact on IFN-I response. ResultsThe expressions of cGAS and IFI16 were significantly higher in PBMC from SLE patients, closely correlated with the SLEDAI scores and high anti-dsDNA antibody titers. While the AUC for cGAS (0.767) was less than that of IFI16 and IFN-β, the AUC for IFI16 (0.856) and IFN-β (0.856) were similar. Expression of cGAS and IFI16 combine with IFN-β in PBMC showed high sensitivity (89.2%) and specificity (89.1%) for discrimination between mild and moderate/severe disease activity in SLE. Higher expression of IFI16 was association with ocular disorder in SLE patients. Neither IFI16 nor cGAS was a reliable indicator of therapeutic response. RNA interference-mediated depletion of IFI16 or cGAS prevented active SLE serum-induced upregulating in both IFN-α and IFN-β. ConclusionsHigh expression levels of cGAS and IFI16 in PBMC from SLE patients correlated strongly with disease activity. Both cGAS and IFI16 mediated signaling pathway were account for the robust production of IFN-β. Expression of cGAS and IFI16 combined with IFN-β in PBMC might serve as potential biomarkers for early diagnosis and monitoring disease activity in SLE.

Prediction of Gastric Cancer-Related Proteins Based on Graph Fusion Method.

Gastric cancer is a common malignant tumor of the digestive system with no specific symptoms. Due to the limited knowledge of pathogenesis, patients are usually diagnosed in advanced stage and do not have effective treatment methods. Proteome has unique tissue and time specificity and can reflect the influence of external factors that has become a potential biomarker for early diagnosis. Therefore, discovering gastric cancer-related proteins could greatly help researchers design drugs and develop an early diagnosis kit. However, identifying gastric cancer-related proteins by biological experiments is time- and money-consuming. With the high speed increase of data, it has become a hot issue to mine the knowledge of proteomics data on a large scale through computational methods. Based on the hypothesis that the stronger the association between the two proteins, the more likely they are to be associated with the same disease, in this paper, we constructed both disease similarity network and protein interaction network. Then, Graph Convolutional Networks (GCN) was applied to extract topological features of these networks. Finally, Xgboost was used to identify the relationship between proteins and gastric cancer. Results of 10-cross validation experiments show high area under the curve (AUC) (0.85) and area under the precision recall (AUPR) curve (0.76) of our method, which proves the effectiveness of our method.

Hypomethylation and downregulation of miR-23b-3p are associated with upregulated PLAU: a diagnostic and prognostic biomarker in head and neck squamous cell carcinoma

BackgroundDNA methylation and miRNA-target genes play an important part in the early development of various tumors and have been studied as tumor biomarkers. Although previous studies have reported a cluster of molecular events (such as aberrant alterations of genomics and epigenetics), little is known of the potential biomarkers for early diagnosis and prognostic evaluation in head and neck squamous cell carcinoma (HNSCC).MethodsMultiple bioinformatics tools based on The Cancer Genome Atlas (TCGA) database and clinical samples were applied to evaluate the beneficial biomarkers in HNSCC. We focused on the role of plasminogen activator urokinase (PLAU), including diagnostic and prognostic significance, gene expression analysis, aberrant DNA methylation characteristics, interaction of miRNAs and associated signaling pathways.ResultsWe found that PLAU was aberrantly upregulated in HNSCC, regardless of the mRNA or protein level. The results of receiver operating characteristic (ROC) curve and Cox regression analysis revealed that PLAU was a diagnostic and independent prognostic factor for patients with HNSCC. Hypomethylation of PLAU was closely related to poor survival in HNSCC. Additionally, miR-23b-3p was predicted to target PLAU and was significantly downregulated in HNSCC tissues. Therefore, our findings suggested that PLAU functioned as a promoter in the pathological process of HNSCC. DNA hypomethylation and downregulation of miR-23b-3p were associated with PLAU overexpression. Finally, our findings provided evidence of a significant interaction between PLAU-target and miRNAs-target pathways, indicating that miR-23b-3p suppresses malignant properties of HNSCC by targeting PLAU via Ras/MAPK and Akt/mTOR signaling pathways.ConclusionsPLAU is overexpressed and may serve as an independent diagnostic and prognostic biomarker in HNSCC. Hypomethylation and downregulation of miR-23b-3p might account for the oncogenic role of PLAU in HNSCC.

Interleukin-33 and its receptor soluble suppression of tumorigenicity 2 in the diagnosis of gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is the most common pregnancy-related disease that increases the risk of metabolic disorders for the pregnancies and their offspring. GDM could be effectively prevented by early diagnosis and timely treatment. 120 patients with GDM and 108 gestational week-matched pregnancies with normal glucose tolerance (NGT) were enrolled in our study. Their blood samples were collected, and demographic characteristics were analysed. Compared to NGT pregnancies, patients with GDM had increased the secretions of interleukin (IL)-33, soluble suppression of tumorigenicity 2 (sST2), IL-6 and tumour necrosis factor-α (TNF-α) in their plasma with elevated homeostatic model assessment (HOMA). Moreover, IL-33/sST2 was positively correlated with HOMA, IL-6 and TNF-α levels in the plasma of patients with GDM respectively. IL-33/sST2 might serve as a novel potential biomarker for early diagnosis of GDM.

Vimentin-Positive Circulating Tumor Cells as Diagnostic and Prognostic Biomarkers in Patients with Biliary Tract Cancer.

Biliary tract cancer (BTC) has poor prognosis; thus, early diagnosis is important to decrease mortality. Although vimentin-positive circulating tumor cells (V-CTCs) are a good candidate for diagnostic and prognostic biomarkers, studies on the topic are limited. We aimed to evaluate the diagnostic efficacy of V-CTCs between BTC and benign biliary disease (BBD) and determine the prognostic value of V-CTCs in BTC patients. We recruited 69 participants who had BTCs and BBDs from a single tertiary referral center. We analyzed CTCs and V-CTCs in peripheral blood using the CD-PRIMETM system. Seven patients were excluded due to a technical failure of CTC detection. CTCs were detected in all 62 patients. CTC count > 40/mL blood (55.8% vs. 20%, p = 0.039), V-CTC count > 15/mL blood (57.7% vs. 10%, p = 0.005), and V-CTC/CTC ratio > 40% (48.1% vs. 10%, p = 0.025) were significantly different between BTCs and BBDs. Two or more of these three parameters (61.5% vs. 10%, p = 0.002) increased the accuracy. A combination of CTC markers with CA19-9 and biopsy increased the accuracy (90.4% vs. 10%, p = 0.000). V-CTC > 50/mL blood was a significant factor affecting survival (140 (66.6–213.3) vs. 253 (163.9–342.1) days, p = 0.008). V-CTC could be a potential biomarker for early diagnosis and predicting prognosis in patients with BTC.

Increased serum exosomal long non-coding RNA SNHG15 expression predicts poor prognosis in non-small cell lung cancer.

BackgroundCirculating long non‐coding RNAs (lncRNAs) are emerging as promising biomarkers for non‐small cell lung cancer (NSCLC). This study aimed to detect serum exosomal lncRNA SNHG15 expression in NSCLC and evaluate its potential clinical value.MethodsA total of 238 serum samples were collected from 118 patients with NSCLC, 40 patients with benign pulmonary lesions and 80 healthy volunteers. The expression levels of serum exosomal lncRNA SNHG15 were measured by quantitative real‐time polymerase chain reaction (qRT‐PCR). Then, the relationship between serum exosomal lncRNA SNHG15 expression and clinical parameters was analyzed.ResultsThe serum exosomal lncRNA SNHG15 expression was markedly higher in NSCLC patients compared to patients with benign pulmonary lesions and normal controls. As expected, serum exosomal lncRNA SNHG15 was greatly decreased after surgery. High serum exosomal lncRNA SNHG15 expression was closely associated with poor differentiation (p=0.035), positive lymph node metastasis (p=0.009) and advanced TNM stage (p<0.001). Receiver operating characteristic (ROC) curve analysis demonstrated that serum exosomal lncRNA SNHG15 well differentiated all stage NSCLC, stage I/II NSCLC patients or stage III/IV NSCLC patients from controls, and the combination of serum exosomal lncRNA SNHG15 and CEA showed an elevated AUC for distinguishing NSCLC from healthy individuals. In univariate and multivariate analyses, serum exosomal lncRNA SNHG15 was confirmed as an independent prognostic predictor for overall survival.ConclusionIn conclusion, our findings suggest that serum exosomal lncRNA SNHG15 might be a potential biomarker for early diagnosis and prognosis prediction of NSCLC.

Plasma p-tau181 Level Predicts Neurodegeneration and Progression to Alzheimer's Dementia: A Longitudinal Study.

Background: Plasma-based biomarkers would be potential biomarkers for early diagnosis of Alzheimer's disease (AD) because they are more available and cost-effective than cerebrospinal fluid (CSF) or neuroimaging. Therefore, we aimed to evaluate whether phosphorylated tau181 (p-tau181) in plasma could be an accurate AD predictor.Methods: Participants from the ADNI database included 185 cognitively unimpaired subjects with negative Aβ (CU–), 66 subjects with pre-clinical AD (CU with positive Aβ), 164 subjects with mild cognitive impairment with negative Aβ (MCI–), 254 subjects with prodromal AD (MCI with positive Aβ), and 98 subjects with dementia. Multiple linear regression models, linear mixed-effects models, and local regression were used to explore cross-sectional and longitudinal associations of plasma p-tau181 with cognition, neuroimaging, or CSF biomarkers adjusted for age, sex, education, and APOE genotype. Besides, Kaplan–Meier and adjusted Cox-regression model were performed to predict the risk of progression to dementia. Receiver operating characteristic analyses were performed to evaluate the predictive value of p-tau181.Results: Plasma p-tau181 level was highest in AD dementia, followed by prodromal AD and pre-clinical AD. In pre-clinical AD, plasma p-tau181 was negatively associated with hippocampal volume (β = −0.031, p-value = 0.017). In prodromal AD, plasma p-tau181 was associated with decreased global cognition, executive function, memory, language, and visuospatial functioning (β range −0.119 to −0.273, p-value < 0.05) and correlated with hippocampal volume (β = −0.028, p-value < 0.005) and white matter hyperintensity volume (WMH) volume (β = 0.02, p-value = 0.01). In AD dementia, increased plasma p-tau181 was associated with worse memory. In the whole group, baseline plasma p-tau181 was significantly associated with longitudinal increases in multiple neuropsychological test z-scores and correlated with AD-related CSF biomarkers and hippocampal volume (p-value < 0.05). Meanwhile, CU or MCI with high plasma p-tau181 carried a higher risk of progression to dementia. The area under the curve (AUC) of the adjusted model (age, sex, education, APOE genotype, and plasma p-tau181) was 0.78; that of additionally included CSF biomarkers was 0.84.Conclusions: Plasma p-tau181 level is related to multiple AD-associated cognitive domains and AD-related CSF biomarkers at the clinical stages of AD. Moreover, plasma p-tau181 level is related to the change rates of cognitive decline and hippocampal atrophy. Thus, this study confirms the utility of plasma p-tau181 as a non-invasive biomarker for early detection and prediction of AD.

The Mechanism and Clinical Significance of Circular RNAs in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors worldwide. In view of the lack of early obvious clinical symptoms and related early diagnostic biomarkers with high specificity and sensitivity, most HCC patients are already at the advanced stages at the time of diagnosis, and most of them are accompanied by distant metastasis. Furthermore, the unsatisfactory effect of the follow-up palliative care contributes to the poor overall survival of HCC patients. Therefore, it is urgent to identify effective early diagnosis and prognostic biomarkers and to explore novel therapeutic approaches to improve the prognosis of HCC patients. Circular RNA (CircRNA), a class of plentiful, stable, and highly conserved ncRNA subgroup with the covalent closed loop, is dysregulated in HCC. Increasingly, emerging evidence have confirmed that dysregulated circRNAs can regulate gene expression at the transcriptional or post-transcriptional level, mediating various malignant biological behaviors of HCC cells, including proliferation, invasion, metastasis, immune escape, stemness, and drug resistance, etc.; meanwhile, they are regarded as potential biomarkers for early diagnosis and prognostic evaluation of HCC. This article reviews the research progress of circRNAs in HCC, expounding the potential molecular mechanisms of dysregulated circRNAs in the carcinogenesis and development of HCC, and discusses those application prospects in the diagnosis and prognosis of HCC.

Cervical carcinoma high-expressed long non-coding RNA 1 promotes papillary thyroid carcinoma cell proliferation and invasion.

BackgroundStudies have shown that cervical carcinoma high-expressed long non-coding RNA 1 (lncRNA-CCHE1) may promote tumor development by regulating tumor migration and invasion in a variety of cancers; yet, the role of lncRNA-CCHE1 in papillary thyroid carcinoma (PTC) remains unclear. The purpose of this study was to explore the mechanism of lncRNA-CCHE1 in PTC.MethodsThe expression of lncRNA-CCHE1 in 51 PTC carcinoma tissues and normal adjacent tissues was measured using real-time quantitative polymerase chain reaction (RT-qPCR). Cell Counting Kit-8 (CCK8), plate cloning assay, transwell assay, and flow cytometry were used to analyze the effect of lncRNA-CCHE1 on PTC cell proliferation, invasion, and apoptosis in vitro.ResultsA higher expression of lncRNA-CCHE1 was found in PTC tissues than in adjacent tissues. High expression of lncRNA-CCHE1 was positively correlated with the number of tumors, extra-glandular invasion, and tumor stage. In addition, the down-regulation of lncRNA-CCHE1 reduced the proliferation and invasion of PTC cell lines and promoted cell apoptosis, while its up-regulation caused the opposite effect. These effects were regulated via the extracellular signal-regulated kinase/mitogen-activated protein kinase (ERK/MAPK) pathway.ConclusionsThe lncRNA-CCHE1 is closely related to PTC progression and may be used as a potential biomarker for early diagnosis and treatment of PTC.

Aberrant expression profile of miR-32, miR-98 and miR-374 in chronic lymphocytic leukemia

IntroductionLeukemia is a malignant and progressive disease of hematopoiesis. The disease arises due to abnormal proliferation and development of white blood cells and their precursors in the blood and bone marrow. Chronic lymphoblastic leukemia (CLL) is a subtype of blood cancers, with the origin of B lymphocytes and the involvement of bone marrow, blood and lymph nodes. MicroRNAs (miRNAs) are small non-coding RNAs with pivotal roles in cellular and molecular processes related to different malignancies, including CLL.In this way, we aimed to evaluate the expression of miR-32−5p, miR-98−5p, and miR-374b-5p in CLL patients. We also investigated the signaling pathways regulated by the studied miRs and also frequently disturbed miRs in CLL. MethodsBlood samples were collected from 32 CLL patients from Kermanshah province, Iran and 34 age and sex-matched healthy individuals. RNA was extracted from PBMCs and then was subjected to cDNA synthesis. Using specifically designed primers and Real-Time PCR method the expression of miRNAs was detected and was statistically analyzed. Using mirPath v.3, systematic pathway enrichment analysis was performed for the three studied miRNAs here along with the frequently disturbed miRNAs in CLL. ResultsThe experiments indicated a significant reduction in the expression of all three miRs (p-value<0.0001) in CLL patients compared with healthy individuals. ROC analysis suggested that the three studied miRs can serve as potential biomarkers for early diagnosis of CLL. The in silico analysis suggested proteoglycans in cancer as a pathway regulated by the studied miRs and frequently dysregulated miRs in CLL. ConclusionThe observed reduction in expression of miR-32−5p, miR-98−5p, and miR-374b-5p in treatment naïve CLL patients here might be suggestive of their modulatory protective role in CLL progression. Moreover, the candidate peripheral miRNAs could potentially serve as diagnostic biomarkers which warrant further investigation in a larger sample size.

Imaging asparaginyl endopeptidase (AEP) in the live brain as a biomarker for Alzheimer\u2019s disease

BackgroundDiscovery of early-stage biomarkers is a long-sought goal of Alzheimer’s disease (AD) diagnosis. Age is the greatest risk factor for most AD and accumulating evidence suggests that age-dependent elevation of asparaginyl endopeptidase (AEP) in the brain may represent a new biological marker for predicting AD. However, this speculation remains to be explored with an appropriate assay method because mammalian AEP exists in many organs and the level of AEP in body fluid isn’t proportional to its concentration in brain parenchyma. To this end, we here modified gold nanoparticle (AuNPs) into an AEP-responsive imaging probe and choose transgenic APPswe/PS1dE9 (APP/PS1) mice as an animal model of AD. Our aim is to determine whether imaging of brain AEP can be used to predict AD pathology.ResultsThis AEP-responsive imaging probe AuNPs-Cy5.5-A&C consisted of two particles, AuNPs-Cy5.5-AK and AuNPs-Cy5.5-CABT, which were respectively modified with Ala–Ala–Asn–Cys–Lys (AK) and 2-cyano-6-aminobenzothiazole (CABT). We showed that AuNPs-Cy5.5-A&C could be selectively activated by AEP to aggregate and emit strong fluorescence. Moreover, AuNPs-Cy5.5-A&C displayed a general applicability in various cell lines and its florescence intensity correlated well with AEP activity in these cells. In the brain of APP/PS1 transgenic mice , AEP activity was increased at an early disease stage of AD that precedes formation of senile plaques and cognitive impairment. Pharmacological inhibition of AEP with δ-secretase inhibitor 11 (10 mg kg−1, p.o.) reduced production of β-amyloid (Aβ) and ameliorated memory loss. Therefore, elevation of AEP is an early sign of AD onset. Finally, we showed that live animal imaging with this AEP-responsive probe could monitor the up-regulated AEP in the brain of APP/PS1 mice.ConclusionsThe current work provided a proof of concept that assessment of brain AEP activity by in vivo imaging assay is a potential biomarker for early diagnosis of AD.Graphical abstract

Presepsin and Procalcitonin as Potential Biomarkers for Early Diagnosis and Prognosis of Sepsis in Critically Ill Patients

Background: Sepsis has a poor prognosis for critically ill patients, even with intensive management. Early diagnosis of sepsis and detection of patients with worsening prognosis are important for immediate intervention to improve the clinical outcome. Objective: To investigate serum presepsin (PS) and procalcitonin (PCT) as early diagnostic and prognostic biomarkers for sepsis in critically ill patients. Methods: 60 critically ill patients with sepsis were subdivided into three groups of sepsis, severe sepsis and septic shock according to Acute Physiology and Chronic Health Evaluation II (APACHEII) and quick Sequential Organ Failure Assessment (qSOFA) scores. Patients were compared with 20 age and sex matched controls. Serum PS and PCT were measured by enzyme linked immunosorbent assay (ELISA). Results: Serum PS and PCT levels were significantly increased in septic patients than controls, and their increase was positively correlated with progression of sepsis severity till reached the highest levels in septic shock. Receiver operating characteristic (ROC) curve for predicting sepsis revealed that PS has the highest area under curve (AUC) (0.967) with 97.5% sensitivity, 85% specificity and cut-off of >635.5 pg/mL, followed by PCT that has AUC (0.946), 97.5% sensitivity, 95% specificity and cut-off of >319.7 pg/mL. C-reactive protein (CRP) showed the lowest AUC (0.902) with 75% sensitivity, 100% specificity and cut-off of >7 mg/L. ROC curve for predicting septic shock showed that PS has the highest AUC (0.969) with 90% sensitivity, 97.5% specificity and cut-off of >5500.6 pg/mL, followed by CRP that has AUC (0.945), 90% sensitivity, 87.5% specificity and cut-off of >63 mg/L. PCT showed the lowest AUC (0.889) with 90% sensitivity, 97.5% specificity and cut-off of >822.1 pg/mL. Conclusions: Serum PS and PCT were promising biomarkers for early diagnosis and prognosis of sepsis in critically ill patients, but PS was superior to PCT.