Dysregulation of long non-coding RNA ZFAS1 in children with obesity and its predictive value for metabolic syndrome.

INTRODUCTION: The purpose of this study was to analyse the correlation between zinc finger antisense 1 (ZFAS1) and obesity and the diagnostic value of obesity complicated with metabolic syndrome (obesity-MS). MATERIAL AND METHODS: Serum levels of ZFAS1 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) in healthy children, children with simple obesity, and children with obesity-MS. The diagnostic accuracy of ZFAS1 was evaluated using the receiver operator characteristic (ROC) curve. Pearson's method was used to study the correlation between ZFAS1 and other indicators. Logistic regression was used to analyse the significance of ZFAS1 in the progression of obesity to obesity-MS. StarBase V2.0 was used to predict the target gene of ZFAS1 (miR-193a-3p). Bioinformatics methods were used to identify the molecular functions and possible enrichment signalling pathways of downstream target genes of miR-193a-3p. RESULTS: The expression of ZFAS1 in patients with obesity and obesity-MS showed a gradual upward trend, while the expression of miR-193a-3p was the opposite. ZFAS1 could identify obesity-MS children from children with obesity (area under the curve [AUC] = 0.880). ZFAS1 was significantly correlated with body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and other indicators, while ZFAS1 was an independent influencing factor for the development of obesity into obesity-MS. Furthermore, a total of 104 downstream target genes of miR-193a-3p were identified, which participated in many biological processes such as protein phosphatase regulation, activation of transcription factor activity, and enrichment in MAPK signalling pathway. CONCLUSION: ZFAS1 is dysregulated in obesity and obesity-MS. Abnormal expression of ZFAS1 has high diagnostic value for obesity-MS, and it has the potential to become a clinical diagnostic biomarker for obesity-MS.

Long Noncoding RNAs MALAT1 and HOTTIP Act as Serum Biomarkers for Hepatocellular Carcinoma.

BACKGROUND: Circulating tumor markers with satisfactory sensitivity and specificity play crucial roles in cancer diagnosis and therapy. This prospective study aimed to evaluate the potential of circulating lncRNAs as biomarkers for hepatocellular carcinoma (HCC). METHODS: A total of 74 patients with HCC and 94 healthy controls were enrolled. The expression levels of candidate genes in serum were detected by qRT-PCR. Receiver operating characteristic (ROC) curve analysis and logistic regression were employed to investigate the diagnostic capacity of lncRNAs. The analysis of 3-year overall survival (OS) was conducted using the Kaplan-Meier method and log-rank test. RESULTS: Of the 9 candidate genes, 6 lncRNAs could be stably detected in serum. The expression levels of circulating MALAT1 and HOTTIP in HCC patients were significantly higher than those in controls (P < 0.001). ROC analysis showed that MALAT1 and HOTTIP were more effective than alpha-fetoprotein (AFP) (P < 0.010) in the diagnosis of HCC, with AUCs of 0.896 and 0.899, respectively. Additionally, a panel consisting of MALAT1, HOTTIP, and AFP was constructed to obtain an AUC of 0.968 with a sensitivity of 87.8% and specificity of 94.7% in HCC diagnosis. Moreover, the upregulation of MALAT1 was not only related to multiple tumor lesions, HCV infection, AST level, and AFP level, but also suggested shorter OS. A high expression level of HOTTIP was associated with metastasis. CONCLUSION: Serum MALAT1 and HOTTIP play indicative roles as non-invasive biomarkers for HCC.

Diagnostic Significance of Serum Long Noncoding HOX Antisense Intergenic Ribonucleic Acid in Patients with Hepatitis B Virus Related Hepatocellular Carcinoma.

BACKGROUND/AIMS:  Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and the third leading cause of cancer-related mortality. Extensive literature suggests that long noncoding RNAs play a role in the progression of HCC and hold potential as diagnostic biomarkers for this disease. MATERIALS AND METHODS:  We examined the serum levels of HOX antisense intergenic RNA (HOTAIR) in 49 hepatitis patients, 31 liver cirrhosis (LC), and 37 HCC patients using quantitative real-time polymerase chain reaction. Correlations between serum HOTAIR levels and clinical data were evaluated in HCC patients. The receiver operating characteristic curve was utilized to analyze the diagnostic potency of HOTAIR. RESULTS:  The HOTAIR levels in serum were significantly higher in HCC patients compared to those with hepatitis (P = .003) and LC patients (P = .048). There was a significant association between the serum levels of HOTAIR and positivity of hepatitis B e antigen (HBeAg) (P = .039) as well as portal vein tumor thrombus (P = .040) in HCC patients. The area under the curve (AUC) for HOTAIR for distinguishing HCC from hepatitis and LC was 0.697. The combined AUC for HOTAIR, HBeAg, and alpha-fetoprotein (AFP) was 0.777. CONCLUSION:  Serum HOTAIR functions as a potential diagnostic marker for hepatitis B virus-related HCC. Combining HOTAIR with clinical data and AFP can reinforce the diagnostic precision on HCC.

Plasma extracellular vesicle long RNA profiling identifies a predictive signature for immunochemotherapy efficacy in lung squamous cell carcinoma.

Introduction: The introduction of Immune Checkpoint Inhibitors (ICIs) has marked a paradigm shift in treating Lung Squamous Cell Carcinoma (LUSC), emphasizing the urgent need for precise molecular biomarkers to reliably forecast therapeutic efficacy. This study aims to identify potential biomarkers for immunochemotherapy efficacy by focusing on plasma extracellular vesicle (EV)-derived long RNAs (exLRs). Methods: We enrolled 78 advanced LUSC patients undergoing first-line immunochemotherapy. Plasma samples were collected, and exLR sequencing was conducted to establish baseline profiles. A retrospective analysis was performed on 42 patients to identify differentially expressed exLRs. Further validation of the top differentially expressed exLRs was conducted using quantitative reverse transcription PCR (qRT-PCR). Univariate Cox analysis was applied to determine the prognostic significance of these exLRs. Based on these findings, we developed a predictive signature (p-Signature). Results: In the retrospective analysis of 42 patients, we identified 460 differentially expressed exLRs, with pathways related to leukocyte migration notably enriched among non-responders. Univariate Cox analysis revealed 45 exLRs with prognostic significance. The top 6 protein-coding exLRs were validated using qRT-PCR, identifying CXCL8, SSH3, and SDHAF1 as differentially expressed between responders and non-responders. The p-Signature, comprising these three exLRs, demonstrated high accuracy in distinguishing responders from non-responders, with an Area Under the Curve (AUC) of 0.904 in the retrospective cohort and 0.812 in the prospective cohort. Discussion: This study highlighted the potential of plasma exLR profiles in predicting LUSC treatment efficacy. Intriguingly, lower p-Signature scores were associated with increased abundance of activated CD4+ and CD8+ T cells, indicating a more robust immune environment. These findings suggest that the p-Signature could serve as a valuable tool in guiding personalized and effective therapeutic strategies for LUSC.

The diagnostic value of serum miR-17-92 cluster in ischemic stroke.

INTRODUCTION: Ischemic stroke (IS) is a prevalent disease that poses a significant threat to human life and is responsible for a substantial financial burden. Research has established the crucial role of the miR-17-92 cluster in lung cancer, cardiovascular diseases, and traumatic brain injury. Despite this, few research studies had fully detected the potential of the miR-17-92 cluster as a novel circulating marker for diagnosing IS. MATERIAL AND METHODS: miR-17-92 cluster expression in IS was investigated using GSE117064 dataset via bioinformatics analysis. Moreover, qRT-PCR was conducted to further verify miR-17-92 cluster expression in 58 IS individuals and 50 healthy controls (HCs). These cluster members were examined regarding their potential for detecting and diagnosing IS using the ROC method. RESULTS: The expression level of serum miR-20a-5p, miR-19a-3p, miR-18a-5p, and miR-19b-3p was considerably lowered in IS in contrast with HC in both the GSE117064 cohort and clinical cohort. Moreover, these four miRNAs had a fair performance in IS detection. Thereafter, a diagnostic model based on these aforementioned four miRNAs was developed by logistic regression, which had an AUC of 0.974 in the ROC curve. This diagnostic module was verified using the GSE117064 dataset. Further analysis demonstrated an increasing level of the aforementioned miRNAs in day-7 IS patients compared with day-1 IS patients. CONCLUSIONS: This research verified the downregulation of the miR-17-92 cluster in IS. This diagnostic model enrolling four cluster members may be a promising biomarker for IS detection.

Plasma-derived exosomal long noncoding RNAs of pancreatic cancer patients as novel blood-based biomarkers of disease.

BACKGROUND: Pancreatic cancer (PaCa) is one of the most intractable and fatal malignancies and is associated with the dysregulation of long noncoding RNAs (lncRNAs), which are a large class of noncoding RNAs larger than 200 nt that act as competing endogenous RNAs or sponges for miRNAs to induce tumour biological behaviours. However, their clinical value in treating pancreatic cancer has been poorly explained, but they are essential for improving the prognosis of PaCa patients. METHODS: We analysed the plasma-derived exosomal lncRNA profiles of PaCa patients by using whole-transcriptome sequencing analysis and identified significantly differentially expressed lncRNAs, including LINC01268, LINC02802, AC124854.1, and AL132657.1. In the current study, the expression levels of four plasma-derived exosomal lncRNAs in PaCa plasma were validated via quantitative real-time polymerase chain reaction (qRT‒PCR). The relationship between the expression of the four lncRNAs and the clinicopathological features of patients with PaCa was also evaluated. RESULTS: We demonstrated that exosomal LINC01268, LINC02802, AC124854.1 and AL132657.1 were highly expressed in PaCa plasma compared with those in normal controls; moreover, they were positively correlated with the serum expression of carbohydrate antigen 19-9 (CA19-9). The receiver operating characteristic curves (AUCs) of the four lncRNAs were 0.8421, 0.6544, 0.7190, and 0.6321, and the AUC value of the combination of the four exosomal lncRNAs increased to 0.8476, with a sensitivity of 0.72 and specificity of 0.89. These results suggested that the plasma-derived exosomal genes LINC01268, LINC02802, AC124854.1, and AL132657.1 may be novel diagnostic markers for PaCa. CONCLUSIONS: Our research demonstrated that the plasma-derived exosomal lncRNAs of PaCa patients are novel blood-based biomarkers of disease.

Simultaneous noninvasive ultrasensitive detection of prostate specific antigen and lncRNA PCA3 using multiplexed dual optical microfibers with strong plasmonic nanointerfaces.

Low accuracy of diagnosing prostate cancer (PCa) was easily caused by only assaying single prostate specific antigen (PSA) biomarker. Although conventional reported methods for simultaneous detection of two specific PCa biomarkers could improve the diagnostic efficiency and accuracy, low detection sensitivity restrained their use in extreme early-stage PCa clinical assay applications. In order to overcome above drawbacks, this paper herein proposed a multiplexed dual optical microfibers separately functionalized with gold nanorods (GNRs) and Au nanobipyramids (Au NBPs) nanointerfaces with strong localized surface plasmon resonance (LSPR) effects. The sensors could simultaneously detect PSA protein biomarker and long noncoding RNA prostate cancer antigen 3 (lncRNA PCA3) with ultrahigh sensitivity and remarkable specificity. Consequently, the proposed dual optical microfibers multiplexed biosensors could detect the PSA protein and lncRNA PCA3 with ultra-low limit-of-detections (LODs) of 3.97 × 10-15 mol/L and 1.56 × 10-14 mol/L in pure phosphorus buffer solution (PBS), respectively, in which the obtained LODs were three orders of magnitude lower than existed state-of-the-art PCa assay technologies. Additionally, the sensors could discriminate target components from complicated physiological environment, that showing noticeable biosensing specificity of the sensors. With good performances of the sensors, they could successfully assay PSA and lncRNA PCA3 in undiluted human serum and urine simultaneously, respectively. Consequently, our proposed multiplexed sensors could real-time high-sensitivity simultaneously detect complicated human samples, that providing a novel valuable approach for the high-accurate diagnosis of early-stage PCa individuals.

Decreased levels of PTCSC3 promote the deterioration of prostate cancer and affect the prognostic outcome of patients through sponge miR-182-5p.

BACKGROUND: Prostate cancer, characterized by its insidious onset and short overall survival, and has seen a rise in incidence over recent decades. This study aims to investigate the expression and molecular mechanism of lncRNA PTCSC3 (PTCSC3) in prostate cancer in order to develop new prognostic and therapeutic biomarkers. METHODS: The level of PTCSC3 in serum and cell samples of prostate cancer was quantitatively measured using RT-qPCR assays. The correlation between the variation in PTCSC3 levels and clinical indicators of patients was evaluated. The survival status of the prostate cancer patients included in the study was evaluated using Kaplan-Meier curve and multivariable Cox analysis. The impact of PTCSC3 overexpression on cell growth and activity was revealed by CCK-8 and Transwell assays. The targeting relationship between PTCSC3 and miR-182-5p was determined by bioinformatics prediction and luciferase activity. RESULTS: PTCSC3 was found to be downregulated in prostate cancer, and its low levels were associated with short overall survival in patients. It influenced the progression of prostate cancer by targeting miR-182-5p. Increasing PTCSC3 levels suppressed the proliferation, migration and invasion levels of cells, and miR-182-5p mimic counteracted PTCSC3's effects on cells. CONCLUSIONS: As a potential prognostic biological factor for prostate cancer, PTCSC3 may regulate the progression of prostate cancer by sponging miR-182-5p and affect the prognosis of patients.

Circulating lung-cancer-related non-coding RNAs are associated with occupational exposure to hexavalent chromium - A cross-sectional study within the SafeChrom project.

BACKGROUND: Hexavalent chromium (Cr(Ⅵ)) is classified as a group 1 human carcinogen and increases the risk of lung cancer. Non-coding RNAs (ncRNAs) have key regulatory roles in lung cancer, but less is known about their relation to Cr(Ⅵ) exposure. OBJECTIVES: We aimed to 1) measure the expression of lung cancer-related circulating ncRNAs in exposed workers and controls; 2) assess associations between ncRNAs expression and Cr concentrations in red blood cells (RBC) and urine; and 3) evaluate correlations between the ncRNAs. METHODS: The study included 111 Cr(VI) exposed workers and 72 controls recruited from the SafeChrom project. Cr concentrations were measured in RBC (biomarker of long-term exposure) and urine (biomarker of short-term exposure) samples. Long ncRNA (lncRNA) and microRNA (miRNA) were extracted from plasma followed by deoxyribonuclease treatment, complementary DNA synthesis, and quantitative real-time polymerase chain reaction using target-specific assays for three lncRNAs (H19, MALAT1, NORAD), and four miRNAs (miR-142-3p, miR-15b-5p, miR-3940-5p, miR-451a). RESULTS: Expression levels of lncRNAs MALAT1 and NORAD, and all four miRNAs, were significantly lower in Cr(VI) exposed workers compared with controls, and correlated significantly with RBC-Cr concentrations (rS = -0.16 to -0.38). H19 was non-significantly increased in exposed workers but significantly correlated with miR-142-3p (rS = -0.33) and miR-15b-5p (rS = -0.30), and NORAD was significantly positively correlated with all four miRNAs (rS = 0.17 to 0.46). In multivariate regression models adjusting for confounders, expressions of lncRNAs MALAT1 and NORAD and all miRNAs were still significantly lower in the exposed group compared with controls, and the expression decreased with increasing RBC-Cr concentrations. CONCLUSIONS: Cr(VI) exposure was inversely and in a dose-response manner associated with the expression of circulating non-coding RNA, which suggests ncRNAs as potential biomarkers for Cr(VI)-induced toxicity. Correlations between miRNAs and lncRNAs suggest that they participate in the same lncRNA-miRNA-messenger RNA regulatory axes, which may play important roles in Cr(VI) carcinogenesis.

The expression analysis of long noncoding RNAs PCAT-1, PCAT-29, and MER11C in bipolar disorder.

Long non-coding RNAs (lncRNAs) are transcripts with a length of usually more than 200 nucleotides (nt) that have promised functions in varied biological processes. lncRNAs participate in the regulation of differentiation, development, and function of the brain. Thus, their dysregulation might play important roles in the etiology of neurological disorders such as BD. In this study, the expression level of PCAT-1, PCAT-29, and MER11C lncRNAs was evaluated in the blood of BD patients compared to the control group. Peripheral blood mononuclear cells of 50 BD type I patients and 50 healthy individuals were isolated. The RNAs were extracted and cDNA was synthesized. Then, the expression level of the desired lncRNAs was measured through Real-Time PCR. The expression levels of PCAT-29 and MER11C lncRNAs were significantly lower in BD patients compared to controls. However, the expression level of PCAT-1 was not significantly different between these two sets of samples. According to the ROC curve, PCAT-29 and MER11C had significant diagnostic power for the differentiation of BD patients from controls. Taken together, our results indicate dysregulation of two lncRNAs in patients with BD and the possible roles of these lncRNAs in the neuropathology of bipolar disorder.

Increased level of GATA3-AS1 long non-coding RNA is correlated with the upregulation of GATA3 and IL-4 genes in multiple sclerosis patients.

BACKGROUND: Long non-coding RNAs (lncRNAs) play various roles in gene regulation. GATA3 antisense RNA 1 (GATA3-AS1) is an lncRNA gene neighboring GATA binding protein 3 (GATA3). The current study aims to quantitatively compare the levels of the expression of GATA3-AS1, GATA3, and Interleukin-4 (IL-4) in peripheral blood mononuclear cells (PBMC) samples of MS patients and healthy individuals under the hypothesis of regulation of GATA3 and IL-4 expression orchestrated by GATA3-AS1. METHODS AND RESULTS: In this case-control study, the GATA3-AS1, GATA3 and IL-4 expression profiles were assessed using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). Also, we assessed the IL-4 levels in the serum. The median fold changes in MS patients vs. controls were (4.39 ± 0.38 vs. 2.44 ± 0.20) for GATA3-AS1, (5.22 ± 0.51 vs. 2.86 ± 0.30) for GATA3, and (6.16 ± 0.52 vs. 3.57 ± 0.38) for IL-4, (P < 0.001). Furthermore, the mean serum levels of IL-4 were 30.85 ± 1.53 pg/ml in MS patients and 11.15 ± 4.23 pg/ml in healthy controls (P < 0.001). ROC curve analysis showed that the level of GATA3-AS1 might serve as a biomarker for diagnosing MS patients with the area under the curve (AUC = 0.918, P < 0.0001). Based on our results, this GATA3-AS1/GATA3/IL-4 pathway may increase IL-4 expression in MS patients. CONCLUSIONS: Our results indicate a probably regulatory function for GATA3-AS1and the levels of GATA3-AS1 in blood could be important biomarkers for MS diagnosis. To confirm and be more certain of these results, it is necessary to study neuromyelitis optica (NMO) and asthma patients in future studies.

Diagnostic and Predictive Value of LncRNA MCM3AP-AS1 in Sepsis and Its Regulatory Role in Sepsis-Induced Myocardial Dysfunction.

The present study focused on exploring the clinical value and molecular mechanism of LncRNA MCM3AP antisense RNA 1 (MCM3AP-AS1) in sepsis and sepsis-induced myocardial dysfunction (SIMD). 122 sepsis patients and 90 healthy were included. Sepsis patients were categorized into SIMD and non-MD. The expression levels of MCM3AP-AS1 and miRNA were examined using RT-qPCR. Diagnostic value of MCM3AP-AS1 in sepsis assessed by ROC curves. Logistic regression to explore risk factors influencing the occurrence of SIMD. Cardiomyocytes were induced by LPS to construct cell models in vitro. CCK-8, flow cytometry, and ELISA to analyze cell viability, apoptosis, and inflammation levels. Serum MCM3AP-AS1 was upregulated in patients with sepsis. The sensitivity and specificity of MCM3AP-AS1 were 75.41% and 93.33%, for recognizing sepsis from healthy controls. Additionally, elevated MCM3AP-AS1 is a risk factor for SIMD and can predict SIMD development. Compared with the LPS-induced cardiomyocytes, inhibition of MCM3AP-AS1 significantly attenuated LPS-induced apoptosis and inflammation; however, this attenuation was partially reversed by lowered miR-28-5p, but this reversal was partially eliminated by CASP2. MCM3AP-AS1 may be a novel diagnostic biomarker for sepsis and can predict the development of SIMD. MCM3AP-AS1 probably participated in SIMD progression by regulating cardiomyocyte inflammation and apoptosis through the target miR-28-5p/CASP2 axis.

A novel long noncoding RNA ENST00000597482 serves as a potential biomarker for disease activity and diagnosis of systemic lupus erythematosus.

OBJECTIVES: Emerging evidence indicate that long noncoding RNAs (lncRNAs) may play an important role in the pathogenesis of systemic lupus erythematosus (SLE) however, the contribution of lncRNAs to SLE remains largely unclear. Our study aimed to explore the lncRNA expression profiles in peripheral blood mononuclear cells (PBMCs) from SLE patients. METHODS: LncRNA sequencing was used to detect differentially expressed genes in PBMCs from 5 SLE-MIX samples and 3 healthy controls (HC)-MIX samples, and the expression of selected lncRNAs was further verified by real-time quantitative polymerase chain reaction (RT‒qPCR). The correlation of lncRNA expression with laboratory indicators as well the SLE disease activity index 2000 (SLEDAI‒2K) score from 72 SLE patients was assessed by Spearman's test. The association between lncRNA ENST00000597482 and organ involvement in SLE patients was determined by the Mann‒Whitney U test. Moreover, lymphocyte subsets in peripheral blood from SLE patients were measured by flow cytometry. In addition, the diagnostic value of lncRNAs in predicting SLE was evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS: The lncRNA expression profiles demonstrated 218 differentially expressed lncRNAs, including 121 upregulated genes and 97 downregulated genes, in PBMCs from SLE patients compared to HCs. Among the 10 candidate genes selected, only lncRNA ENST00000597482, which was lower in SLE PBMCs than in HCs, was consistent with the sequencing results. LncRNA ENST00000597482 expression was negatively correlated with SLEDAI-2K score and the titres of ANA antibodies and anti-double-stranded DNA (anti-dsDNA) antibodies. Of note, SLE patients with lower expression of lncRNA ENST00000597482 were prone to develop organ involvement. Furthermore, lncRNA ENST00000597482 exhibited potential diagnostic value in differentiating SLE patients from HCs. CONCLUSIONS: LncRNA ENST00000597482 expression was lower in PBMCs from SLE patients than HCs and was negatively correlated with the SLEDAI-2K score and autoantibody titres. In addition, lncRNA ENST00000597482 could act as a novel biomarker for disease activity and diagnosis of SLE.

Circulating long noncoding RNA PDE4DIPP6: A novel biomarker for improving the clinical management of non-ST-segment elevation myocardial infarction.

BACKGROUND: Long noncoding RNAs (lncRNAs) have emerged as promising diagnostic biomarkers. Here, we investigated the cardiac-expressed and plasma-detectable lncRNA PDE4DIPP6 as a biomarker for non-ST-segment elevation myocardial infarction (NSTEMI), specifically assessing its potential to enhance the diagnostic efficacy of high-sensitivity cardiac troponin (hs-cTnT). METHODS AND RESULTS: The study enrolled individuals presenting with suspected acute coronary syndrome (ACS). LncRNA quantification was performed in plasma samples using RT-qPCR. The discriminatory performance was assessed by calculating the Area Under the Curve (AUC). Reclassification metrics, including the Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) indexes, were utilized to evaluate enhancements in diagnostic accuracy. Among the 252 patients with suspected ACS, 50.8 % were diagnosed with ACS, and 13.9 % with NSTEMI. Initially, the association of lncRNA PDE4DIPP6 with ACS was investigated. Elevated levels of this lncRNA were observed in ACS patients compared to non-ACS subjects. No association was found between lncRNA PDE4DIPP6 levels and potential confounding factors, nor was a significant correlation with hs-cTnT levels (rho = 0.071). The inclusion of lncRNA PDE4DIPP6 on top of hs-cTnT significantly improved the discrimination and classification of ACS patients, as reflected by an enhanced AUC of 0.734, an IDI of 0.066 and NRI of 0.471. Subsequently, the lncRNA PDE4DIPP6 was evaluated as biomarker of NSTEMI. Elevated levels of the lncRNA were observed in NSTEMI patients compared to patients without NSTEMI. Consistent with previous findings, the addition of lncRNA PDE4DIPP6 to hs-cTnT improved the discrimination and classification of patients, increasing the AUC from 0.859 to 0.944, with an IDI of 0.237 and NRI of 0.658. CONCLUSION: LncRNA PDE4DIPP6 offers additional diagnostic insights beyond hs-cTnT, suggesting its potential to improve the clinical management of patients with NSTEMI.

Multicenter Validation of lncRNA and Target mRNA Diagnostic and Prognostic Biomarkers of Acute Ischemic Stroke From Peripheral Blood Leukocytes.

BACKGROUND: Long noncoding RNA (lncRNA) and mRNA profiles in leukocytes have shown potential as biomarkers for acute ischemic stroke (AIS). This study aimed to identify altered lncRNA and target mRNA profiles in peripheral blood leukocytes as biomarkers and to assess the diagnostic value and association with AIS prognosis. METHODS AND RESULTS: Differentially expressed lncRNAs (DElncRNAs) and differentially expressed target mRNAs (DEmRNAs) were screened by RNA sequencing in the discovery set, which consisted of 10 patients with AIS and 20 controls. Validation sets consisted of a multicenter (311 AIS versus 303 controls) and a nested case-control study (351 AIS versus 352 controls). The discriminative value of DElncRNAs and DEmRNAs added to the traditional risk factors was estimated with the area under the curve. NAMPT-AS, FARP1-AS1, FTH1, and NAMPT were identified in the multicenter case-control study (P<0.05). LncRNA NAMPT-AS was associated with cis-target mRNA NAMPT and trans-target mRNA FTH1 in all validation sets (P<0.001). Similarly, AIS cases exhibited upregulated lncRNA FARP-AS1 and FTH1 expression (P<0.001) in the nested case-control study (P<0.001). Furthermore, lncRNA FARP1-AS1 expression was upregulated in AIS patients at discharge with an unfavorable outcome (P<0.001). Positive correlations were found between NAMPT expression level and NIHSS scores of AIS patients (P<0.05). Adding 2 lncRNAs and 2 target mRNAs to the traditional risk factor model improved area under the curve by 22.8% and 5.2% in the multicenter and the nested case-control studies, respectively. CONCLUSIONS: lncRNA NAMPT-AS and FARP1-AS1 have potential as diagnostic biomarkers for AIS and exhibit good performance when combined with target mRNA NAMPT and FTH1.

Serum exosomes lncRNAs: TCONS_I2_00013502 and ENST00000363624 are new diagnostic markers for rheumatoid arthritis.

The lack of diagnostic markers limits the window of effectiveness for rheumatoid arthritis (RA) therapies. Here, we isolated exosomes of serum samples from four distinct groups RA patients, according to disease activity and with/without medication. Then, total RNA of exosomes was extracted for whole-transcriptome sequencing. Focusing on lncRNA sequencing, gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were performed. We found that the number of upregulated lncRNAs were significantly higher than that of downregulated lncRNAs in each four RA groups. And most importantly, we identified two specific lncRNAs from differentially expressed lncRNAs, TCONS_I2_00013502 (up-regulated) and ENST00000363624 (down-regulated) in RA. Receiver Operating Characteristic (ROC) curve analysis showed that the two lncRNAs were promising biomarkers for RA diagnosis. These findings highlight lncRNAs of the serum exosome are important biomarkers and provide application potential for diagnosis of RA.

A possible role of lncRNA MEG3 and lncRNA MAFG-AS1 on miRNA 147-b in the pathogenesis of Behcet's disease.

Behcet's disease (BD) is a multisystem disease with altered Toll-like receptors (TLRs) on macrophages. Long noncoding RNA Maternally expressed gene 3 (lncRNA MEG3) and lncRNA Musculoaponeurotic fibrosarcoma oncogene family, protein G antisense 1 (MAFG-AS1) are regulators of microRNA (miRNA) 147-b, which is induced upon TLR stimulation. We included fifty BD patients, and fifty age and sex-matched controls. Real-time polymerase chain reaction (PCR) was used to measure the expression levels of serum lncRNA MEG3, lncRNA MAFG-AS1, and miRNA 147-b. LncRNA MEG3 and lncRNA MAFG-AS1 were significantly downregulated while miRNA 147-b was significantly upregulated in the BD patients' serum compared to the controls with p-value <0.001. Receiver operation characteristics (ROC) curve analysis revealed that the three biomarkers can discriminate between BD and control subjects with 76%, 100%, and 70% sensitivity respectively, and 100% specificity for all of them. There was a lower expression level of lnc RNA MEG3 among patients who had new eye involvement in the last month in comparison to those without new eye involvement (p-value=0.017). So, LncRNA MEG3, lncRNA MAFG-AS1, and miRNA147-b are promising diagnostic markers and therapeutic targets for BD patients. LncRNA MEG3 can be used as a predictor for new BD ocular involvement.

The role of EZH2 and its regulatory lncRNAs as a serum-based biomarker in Alzheimer's disease.

BACKGROUND: Long noncoding RNAs (lncRNAs) have become a hot topic in the human nervous system. Moreover, circulating lncRNAs have been suggested as possible biomarkers for central nervous system processes and neurodegenerative diseases. The present research aimed to highlight the role of plasma lncRNAs TUG1, FEZF1-AS1, and EZH2 gene as diagnostic biomarkers in Alzheimer's disease (AD). METHODS: Plasma samples for the study were provided by 100 AD patients and 100 matched controls. Real-time quantitative reverse transcriptase PCR was used to determine the plasma level of the aforementioned lncRNAs. Furthermore, the plasma level of EZH2 protein in the participants' blood was determined using the ELISA technique. RESULTS: In contrast to controls, down-regulation of the EZH2 gene and protein was reported in the plasma of patients with AD. Additionally, plasma samples from AD patients showed up-and-down-regulation of the lncRNAs TUG1 and FEZF1-AS1, respectively. CONCLUSION: Our new findings suggest that the EZH2 gene, plasma lncRNA TUG1, and FEZF1-AS1 may contribute, as valuable biomarkers, to AD diagnosis.

Investigating SNHG3 and BCYRN1 lncRnas expression in the peripheral blood cells of multiple sclerosis patients.

BACKGROUND: MS (Multiple sclerosis) is a progressive neurologic disorder often appearing in the third decade of life. MS is the most frequent demyelinating disease of the central nervous system. The development of MS is influenced by environmental, genetic, and epigenetic factors. The bulk of the human transcriptome comprises lncRNAs, which play crucial regulatory roles. We aimed to assess the SNHG3 and BCYRN1 lncRNA expression in blood samples from MS patients and how these lncRNAs and disease activity are related. METHODS: A total of 100 MS patients, including 8 primary progressive (PP), 82 relapsing-remitting (RR), and 10 secondary progressive (SP) MS, as well as 100 healthy controls, had their blood samples taken. Gene expression was assessed using quantitative real-time PCR. Recognizing the receiver operating characteristic (ROC) curve analysis, the diagnostic potential of lncRNA levels was evaluated. RESULTS: Expressions of SNHG3 and BCYRN1 were found to have significantly increased (p < 0.0001). SNHG3 expression level showed significant differences compared to age groups and MS subtypes (p value = 0.001 and p value = 0.02).Furthermore, patients with a family history showed elevated BCYRN1 expression with a p value of 0.01. Considering the age factor, BCYRN1 exhibits altered expression levels in patient groups compared to healthy controls (p value 0.04). Additionally, the novel biomarkers SNHG3 and BCYRN1 can be used to diagnose MS (AUC = 0.97 and AUC = 0.88, respectively). DISCUSSION: Increased levels of SNHG3 and BCYRN1 in the serum may serve as potential molecular biomarkers for the MS diagnosis.

Revealing the role of serum exosomal novel long non-coding RNA NAMPT-AS as a promising diagnostic/prognostic biomarker in colorectal cancer patients.

AIMS: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide. Nicotinamide phosphoribosyl-transferase (NAMPT) was found to be over-expressed in several cancers including CRC. NAMPT-Antisense (NAMPT-AS) is a novel long non-coding RNA (lncRNA) recently reported to be associated with triple negative breast cancer. However, its role in CRC has not been investigated. This study was designed to explore the role of lncRNA NAMPT-AS in CRC, and to investigate its circulating serum exosomal levels in subjects with/without CRC. MAIN METHODS: We analyzed CRC patients' data in The Cancer Genome Atlas (TCGA). LncRNA NAMPT-AS and NAMPT mRNA levels were measured in serum exosomes isolated from CRC patients and healthy control subjects and were also measured in CRC-tissues using qRT-PCR. Serum NAMPT protein levels were measured by ELISA, and immunohistochemical analyses were done for NAMPT and Ki67 in CRC tissues. KEY FINDINGS: Serum exosomal NAMPT-AS levels were found to be significantly higher in CRC patients compared to control subjects and significantly positively correlated with serum exosomal NAMPT mRNA and circulating NAMPT protein. Tissue NAMPT-AS was found to be significantly positively associated with tissue and serum exosomal NAMPT levels. Higher serum exosomal NAMPT-AS levels were found to be associated with higher susceptibility for CRC. Gene-ontology results and survival analysis of TCGA-data showed a potential classification of CRC samples based on NAMPT-AS levels and association of NAMPT-AS upregulation with poor CRC prognosis and survival. SIGNIFICANCE: These results portray NAMPT-AS as a novel potential diagnostic/prognostic biomarker and key molecular mediator in CRC.