Hsa_Circrna_103636: Potential Novel Diagnostic and Therapeutic Biomarker in Major Depressive Disorder

Cui, Xia; Niu, Wei; Kong, Lingming; He, Mingjun; Jiang, Kunhong; Chen, Shengdong; Zhong, Aihua; Li, Wanshuai; Lu, Jim; Zhang, Liyi

doi:10.2217/bmm-2016-0130

Cited by 118 publications

(81 citation statements)

References 45 publications

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“…Serum/plasma is the most commonly used biological specimen for in-vitro diagnosis because of its nature of easy to obtain. However, because the abundance of circRNAs is significant higher in PBMCs than in serum/plasma and it’s relatively easy to obtain, PBMCs are the most commonly used sample for circRNAs detection [13, 17]. …”

Section: Discussionmentioning

confidence: 99%

“…Recent researches showed that circRNAs can function as potential molecular markers for disease diagnosis. For example, Cui et al showed that hsa_circRNA_103636 in peripheral blood mononuclear cells (PBMCs) can be used as a novel biomarker for the diagnosis and treatment of major depressive disorder [13], Chen et al found that hsa_circ_0000190 could be used as a new biomarker for gastric cancer [14], and Zhao et al discovered that hsa_circ_0124644 in peripheral blood can be used as a diagnostic biomarker for coronary artery disease [15]. However, there is no report regarding the use of circRNAs as biomarkers for TB.…”

Section: Introductionmentioning

confidence: 99%

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Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Active Tuberculosis Patients

Huang

Yao²,

et al. 2018

Cell Physiol Biochem

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Background/Aims: Dysregulated expression of circular RNAs (circRNAs) was demonstrated to be implicated in many diseases. Here, we aimed to determine circRNA profile in peripheral blood mononuclear cells (PBMCs) from active tuberculosis (TB) patients to identify novel biomarkers for TB. Methods: Expression profile of circRNAs in PBMCs from 3 active pulmonary TB patients and 3 healthy controls were analyzed by microarray assay. Six circRNAs were selected for validation using real time-quantitative PCR (qRT-PCR) in 40 TB patients and 40 control subjects. Receiver operating characteristic (ROC) curve was constructed to evaluate their values in TB diagnosis. Hsa_circRNA_001937 was chosen for further evaluation in an independent cohort consisting of 115 TB, 40 pneumonia, 40 COPD, 40 lung cancer patients and 90 control subjects. An eight-month follow up was performed in 20 newly diagnosed TB patients to investigate the expression change of hsa_circRNA_001937 after chemotherapy. Results: We revealed and confirmed that a number of circRNAs were dysregulated in TB patients. Of the six studied physio circRNAs, the levels of hsa_circRNA_001937, hsa_circRNA_009024 and hsa_ circRNA_005086 were significantly elevated and hsa_circRNA_102101, hsa_circRNA_104964 and hsa_circRNA_104296 were significantly reduced in PBMCs from TB patients as compared to healthy controls. ROC curve analysis suggested that hsa_circRNA_001937 has the largest area under the curve (AUC = 0.873, P<0.001). Hsa_circRNA_001937 was significantly increased in patients with TB compared with patients with pneumonia, COPD and lung cancer. Hsa_ circRNA_001937 was correlated with TB severity (r = 0.4053, P = 0.010) and its expression significantly decreased after treatment. Conclusion: This study identified a set of deregulated circRNAs in active TB PBMCs, our data also suggest that hsa_circRNA_001937 can be used as a potential diagnostic biomarker of TB.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Active Tuberculosis Patients

Huang

Yao²,

et al. 2018

Cell Physiol Biochem

View full text Add to dashboard Cite

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“…This confers resistance to RNase R treatment, allowing circRNAs to be selectively enriched during sample processing and making them more suitable biomarkers than other types of RNA [7-9]. Studies demonstrated that circRNAs are involved in the development of several diseases, such as cancer [10-12], Alzheimer’s disease [13], major depressive disorder [14], atherosclerotic vascular disease [15], and pre-eclampsia [16]. Recent studies have found that circRNAs can bind to microRNAs (miRNAs) and act as “miRNA sponges” by sequestering target miRNAs and preventing them from regulating other endogenous target genes.…”

Section: Introductionmentioning

confidence: 99%

Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Rheumatoid Arthritis Patients

Ouyang

Jiang

et al. 2017

Cell Physiol Biochem

136

102

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Background/Aims: Circular RNAs (circRNAs) compose a large class of RNAs that can be used as biomarkers in clinical blood samples. This study aimed to determine the expression of circRNAs in peripheral blood mononuclear cells (PBMCs) from rheumatoid arthritis (RA) patients to identify novel biomarkers for RA screening. Methods: We started with a microarray screening of circRNA changes in PBMCs from 5 RA patients and 5 healthy controls. We then confirmed the selected circRNA changes in PBMCs from 30 RA patients and 25 age- and sex-matched controls using the real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Spearman correlation test was performed to assess the correlation of circRNAs and clinical variables. Receiver operating characteristic (ROC) curve was calculated to evaluate the diagnostic value. Results: We identified and verified five circRNAs (092516, 003524, 103047, 104871, 101873) that were significantly elevated in PBMCs from RA patients. Among these RA patients, we detected no significant correlation between the five circRNAs and the disease severity, including disease activity score (DAS28), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and health assessment questionnaire (HAQ). Yet, ROC curve analysis suggested that circRNA_104871 has significant value of RA diagnosis (AUC=0.833, P<0.001), followed by circRNA_003524 (AUC = 0.683, P = 0.020), circRNA_101873 (AUC = 0.676, P = 0.026), and circRNA_103047 (AUC = 0.671, P = 0.030). Conclusions: This study suggests that increased expression of circRNAs circRNA_104871, circRNA_003524, circRNA_101873 and circRNA_103047 in PBMC from RA patients may serve as potential biomarkers for RA patient diagnosis.

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“…10 Research have shown that lncRNAs play a significant role in many life activities, such as dose-compensating effects, 11 epigenetic regulation, 12 regulation of cell cycle, 13 and regulation of cell differentiation 14 and has become a focus of genetic research. 16,17 Some studies have shown that X-inactive specific transcript (XIST) can be involved in the occurrence of gastric cancer, bladder cancer, 18,19 but the specific mechanism of XIST in bladder cancer is still not clear. 16,17 Some studies have shown that X-inactive specific transcript (XIST) can be involved in the occurrence of gastric cancer, bladder cancer, 18,19 but the specific mechanism of XIST in bladder cancer is still not clear.…”

Section: Introductionmentioning

confidence: 99%

Long noncoding RNA XIST participates in bladder cancer by downregulating p53 via binding to TET1

Shi

et al. 2018

J of Cellular Biochemistry

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Long noncoding RNAs (lncRNAs) have been reported to take part in intracellular RNA regulatory networks and play important roles in a lot of pathological processes. Currently, lncRNA X‐inactive specific transcript (XIST) has been proved to regulate cell migration, proliferation, and apoptosis in a series of cancers. In this study, we explored whether XIST can affect cell proliferation, migration, and apoptosis in bladder cancer. The influences of XIST on the cell proliferation, cell cycle, and apoptosis were detected in bladder cancer cells. The effect of XIST on the migration of bladder cancer cells was examined by cell migration assay. Through RNA immunoprecipitation and chromatin immunoprecipitation assays, the binding relationship between XIST and TET1 and the regulatory mechanism of TET1 on p53 were examined. Western blot was performed to detect p53 after knockdown or overexpression of XIST. We found that knockdown of XIST suppressed cell migration and proliferation in vitro. Mechanistically, we confirmed that lncRNA XIST participates in bladder cancer by downregulating p53 via binding to TET1. In conclusion, our research revealed the potential role of XIST‐TET1‐p53 regulatory network in bladder cancer.

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Hsa_Circrna_103636: Potential Novel Diagnostic and Therapeutic Biomarker in Major Depressive Disorder

Abstract: These results suggest that altered expression of hsa_circRNA_103636 in PBMCs is a potential novel biomarker for the diagnosis and treatment of MDD.

Cited by 118 publications

References 45 publications

Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Active Tuberculosis Patients

Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Active Tuberculosis Patients

Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Rheumatoid Arthritis Patients

Long noncoding RNA XIST participates in bladder cancer by downregulating p53 via binding to TET1

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