Genome-wide Analysis of Circular RNAs and Validation of hsa_circ_0086354 As a Promising Biomarker for Early Diagnosis of Cerebral Palsy

Abstract Background: Cerebral palsy (CP) is a spectrum of non-progressive motor disorders caused by brain injury during fetal or postnatal periods. Current diagnosis of CP mainly relies on neuroimaging and motor assessment. Here, we aimed to explore novel biomarkers for early diagnosis of CP. Methods: Blood plasma from five CP children and their healthy twin brothers/sisters was analyzed by gene microarray to screen out differentially expressed RNAs. Selected differentially expressed circular RNAs (circRNAs) were further validated using quantitative real-time PCR. Receiver operating characteristic (ROC) curve analysis was used to evaluate the value of using hsa_circ_0086354 as a biomarker of CP.Results: 43 up-regulated circRNAs and 2 down-regulated circRNAs were obtained by difference analysis (fold change>2, p<0.05), among which five circRNAs related to neuron differentiation and neurogenesis were chosen for further validation. Additional 30 pairs of CP children and healthy controls were recruited and five selected circRNAs were further detected, showing that hsa_circ_0086354 was significantly down-regulated in CP plasma compared with control, which was highly in accord with microarray analysis. ROC curve analysis showed that the area under curve (AUC) to discriminate CP children and healthy controls using hsa_circ_0086354 was 0.967, the sensitivity was 0.833 and the specificity was 0.966. Moreover, hsa_circ_0086354 was predicted as a competitive endogenous RNA for miR-181a, miR-4741 and miR-4656, and much literature evidence suggested that miR-181a may be a key target of hsa_circ_0086354 to regulate neuronal survival and neuronal differentiation. Conclusion: Hsa_circ_0086354 was significantly down-regulated in blood plasma of CP children, which may be a novel competent biomarker for early diagnosis of CP.

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Genome-Wide Analysis of Circular Rnas and Validation of hsa_circ_0086354 as a Promising Biomarker for Early Diagnosis of Cerebral Palsy

10.21203/rs.3.rs-598443/v2 ◽

2021 ◽

Author(s):

Yuanyuan Hu ◽

Xuzhao Bian ◽

Chao Wu ◽

Yan Wang ◽

Yang Wu ◽

...

Keyword(s):

Cerebral Palsy ◽

Early Diagnosis ◽

Blood Plasma ◽

Roc Curve ◽

Curve Analysis ◽

Differentially Expressed ◽

Circular Rnas ◽

Healthy Controls ◽

Roc Curve Analysis ◽

Literature Evidence

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Measurement of urinary kininogen (KNG) fragments as a noninvasive tool for early diagnosis of pancreatic cancer (PaCa).

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.4_suppl.209 ◽

2019 ◽

Vol 37 (4_suppl) ◽

pp. 209-209

Author(s):

Izumi Ohno ◽

Shuichi Mitsunaga ◽

Motoyasu Kan ◽

Masafumi Ikeda ◽

Hironobu Tsubouchi ◽

...

Keyword(s):

Early Diagnosis ◽

Healthy Volunteers ◽

Roc Curve ◽

High Speed ◽

Curve Analysis ◽

Urine Samples ◽

Healthy Controls ◽

Roc Curve Analysis ◽

Diagnostic Capability ◽

Urinary Levels

209 Background: There is a clear need to identify a non-invasive biomarker for early diagnosis of PaCa, in order to improve the overall survival of PaCa patients. Secretion of large amounts of proteases is a hallmark of PaCa, which results in an abundance of protease-induced cleavage products being excreted in the urine. This has led to speculation that measurement of PaCa-specific fragments in the urine might be useful as a tool for discrimination between PaCa patients and healthy controls. Herein, we introduce urinary KNG fragments as a promising biomarker for early diagnosis of PaCa. Methods: Urine samples were collected from PaCa patients and healthy volunteers, with the written informed consent, from January 2014 to July 2016. Urinary protein tryptic fragments derived from protein C-termini were measured using isobaric tags (iTRAQ) for their relative quantitation, and the diagnostic ability of the urinary levels of these fragments was evaluated by receiver operating characteristic (ROC) curve analysis. The fragments which showed an area-under-the-curve (AUC) of over 0.8 were selected as candidate fragments for further validation by the multiple-reaction-monitoring technique (MRM) combined with high-speed liquid chromatography. The urinary level of each candidate fragment was quantified by MRM, and the diagnostic capability of each for discriminating PaCa patients from healthy controls was evaluated by ROC curve analysis. Results: Urine samples of 39 PaCa patients (7 resectable, 32 unresectable) and 42 healthy controls were examined by iTRAQ to find 12,783 fragments. ROC curve analysis was carried out to select two candidate fragments (fragments A, B), both of which turned out to be KNG cleavage products. The urinary levels of the two fragments were measured in 23 resectable PaCa, 118 unresectable PaCa patients, and 42 healthy volunteers using high-speed-LC-/MRM. The AUCs of serum CA19-9 and urinary levels of fragments A and B for discriminating patients of PaCa from healthy controls were 0.89, 0.81 and 0.70, respectively. Conclusions: Urinary KNG fragments showed favorable diagnostic capability and were considered as promising, noninvasively measurable biomarkers of PaCa.

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Gene Expression Profiles of Circular RNAs and MicroRNAs in Chronic Rhinosinusitis With Nasal Polyps

Frontiers in Molecular Biosciences ◽

10.3389/fmolb.2021.643504 ◽

2021 ◽

Vol 8 ◽

Author(s):

Jieqing Yu ◽

Xue Kang ◽

Yuanping Xiong ◽

Qing Luo ◽

Daofeng Dai ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Chronic Rhinosinusitis ◽

Roc Curve ◽

Nasal Polyps ◽

Expression Profiles ◽

Principal Component ◽

Curve Analysis ◽

Differentially Expressed ◽

Circular Rnas ◽

Roc Curve Analysis

Introduction: Chronic rhinosinusitis (CRS) is often classified primarily on the basis of the absence or presence of nasal polyps (NPs), that is, as CRS with nasal polyps (CRSwNP) or CRS without nasal polyps (CRSsNP). Additionally, according to the percentage of eosinophils, CRSwNP can be further divided into eosinophilic CRSwNP (ECRSwNP) and non-ECRSwNP. CRSwNP is a significant public health problem with a considerable socioeconomic burden. Previous research reported that the pathophysiology of CRSwNP is a complex, multifactorial disease. There have been many studies on its etiology, but its pathogenesis remains unclear. Dysregulated expression of microRNAs (miRNAs) has been shown in psoriasis, rheumatoid arthritis, pulmonary fibrosis, and allergic asthma. Circular RNAs (circRNAs) are also involved in inflammatory diseases such as rheumatoid arthritis, septic acute kidney injury, myocardial ischemia/reperfusion injury, and sepsis-induced liver damage. The function of miRNAs in various diseases, including CRSwNP, is a research hotspot. In contrast, there have been no studies on circRNAs in CRSwNP. Overall, little is known about the functions of circRNAs and miRNAs in CRSwNP. This study aimed to investigate the expression of circRNAs and miRNAs in a CRSwNP group and a control group to determine whether these molecules are related to the occurrence and development of CRSwNP.Methods: Nine nasal mucosa samples were collected, namely, three ECRSwNP samples, three non-ECRSwNP samples, and three control samples, for genomic microarray analysis of circRNA and microRNA expression. All of the tissue samples were from patients who were undergoing functional endoscopic sinus surgery in our department. Then we selected some differentially expressed miRNAs and circRNAs for qPCR verification. Meanwhile, GO enrichment analysis and KEGG pathway analysis were applied to predict the biological functions of aberrantly expressed circRNAs and miRNAs based on the GO and KEGG databases. Receiver operating characteristic (ROC) curve analysis and principal component analysis (PCA) were performed to confirm these molecules are involved in the occurrence and development of CRSwNP.Results: In total, 2,875 circRNAs showed significant differential expression in the CRSwNP group. Specifically, 1794 circRNAs were downregulated and 1,081 circRNAs were upregulated. In the CRSwNP group, the expression of 192 miRNAs was significantly downregulated, and none of the miRNAs were significantly upregulated. GO and KEGG analysis showed differential circRNAs and miRNAs were enriched in “amoebiasis,” “salivary secretion,” “pathways in cancer,” and “endocytosis.” Through qRT-PCR verification, the expression profiles of hsa-circ-0031593, hsa-circ-0031594, hsa-miR-132-3p, hsa-miR-145-5p, hsa-miR-146a-5p, and hsa-miR-27b-3p were shown to have statistical differences. In addition, ROC curve analysis showed that the molecules with the two highest AUCs were hsa-circ-0031593 with AUC 0.8353 and hsa-miR-145-5p with AUC 0.8690. Through PCA with the six ncRNAs, the first principal component explained variance ratio was 98.87%. The AUC of the six ncRNAs was 0.8657.Conclusion: In our study, the expression profiles of ECRSwNP and non-ECRSwNP had no statistical differences. The differentially expressed circRNAs and miRNAs between CRSwNP and control may play important roles in the pathogenesis of CRSwNP. Altered expression of hsa-circ-0031593 and hsa-miR-145-5p have the strongest evidence for involvement in the occurrence and development of CRSwNP because their AUCs are higher than the other molecules tested in this study.

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Salivary Circular RNAs Hsa_Circ_0001874 and Hsa_Circ_0001971 as Novel Biomarkers for the Diagnosis of Oral Squamous Cell Carcinoma

Cellular Physiology and Biochemistry ◽

10.1159/000491624 ◽

2018 ◽

Vol 47 (6) ◽

pp. 2511-2521 ◽

Cited By ~ 31

Author(s):

Si-Yu Zhao ◽

Jun Wang ◽

Shao-Bo Ouyang ◽

Zi-Kun Huang ◽

Lan Liao

Keyword(s):

Squamous Cell Carcinoma ◽

Oral Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Roc Curve ◽

Tnm Stage ◽

Differentially Expressed ◽

Circular Rnas ◽

Healthy Controls ◽

Novel Biomarkers

Background/Aims: Recent studies have demonstrated that circular RNAs (circRNAs) can serve as potential molecular markers for disease diagnosis. However, little is known about their diagnostic potential for oral squamous cell carcinoma (OSCC). This study aimed to determine the expression of circRNAs in the saliva of OSCC patients to identify novel biomarkers for OSCC screening. Methods: Microarray screening of circRNA was performed to identify differentially expressed circRNAs in saliva from 3 OSCC patients compared with 3 healthy controls. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to validate the results, and the association between these confirmed salivary circRNAs and clinicopathological features was analyzed using the chi-squared test. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of the circRNAs identified. Preoperative expression and postoperative expression (1 month after the surgery) of hsa_circ_0001874 and hsa_circ_0001971 was also determined. Results: Our results indicated 12 upregulated and 20 downregulated circRNAs in the saliva from the OSCC patients compared with that from the healthy controls. Among the differentially expressed circRNAs, hsa_circ_0001874, hsa_circ_0001971, and hsa_circ_0008068 were upregulated and hsa_circ_0000140, hsa_circ_0002632, and hsa_circ_0008792 were downregulated in the OSCC group versus the healthy group. Clinical data indicated that salivary hsa_circ_0001874 was correlated with TNM stage (P=0.006) and tumor grade (P=0.023) and that hsa_circ_0001971 was correlated with TNM stage (P=0.019). The combination of hsa_circ_0001874 and hsa_circ_0001971 showed an area under the ROC curve of 0.922 (95% confidence interval, 0.883-0.961; P< 0.001). The risk score based on the combination of hsa_circ_0001874 and hsa_circ_0001971 also discriminated patients with OSCC from patients with oral leukoplakia (P< 0.001). Moreover, the expression levels of salivary hsa_circ_0001874 and hsa_circ_0001971 were clearly decreased in the postoperative samples compared with preoperative samples (P< 0.001). Conclusions: This is the first study to demonstrate the potential of salivary hsa_circ_0001874 and hsa_circ_0001971 as biomarkers for the diagnosis of OSCC.

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Early detection of pancreatic ductal adenocarcinoma using abnormal urinary fragmentation ratio of a liver-originated protein.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.4_suppl.214 ◽

2019 ◽

Vol 37 (4_suppl) ◽

pp. 214-214

Author(s):

Motoyasu Kan ◽

Shuichi Mitsunaga ◽

Masafumi Ikeda ◽

Izumi Ohno ◽

Hironobu Tsubouchi ◽

...

Keyword(s):

Roc Curve ◽

Curve Analysis ◽

Control Group ◽

Healthy Controls ◽

Roc Curve Analysis ◽

Protein Fragments ◽

Abnormal Protein ◽

Pdac Tissue ◽

Healthy Control ◽

Fragmentation Ratio

214 Background: Non PDAC tissue-originated proteins are cleaved by proteases derived from PDAC, which can result in abnormal cleavage patterns in the urine of PDAC patients. Urinary proteomic analysis for quantifying the ratios of the abnormal protein fragments to the non-fragmented protein levels in the urine may be useful to distinguish early PDAC from healthy controls. This proof-of-concept study was planned to determine the usefulness of measuring the protein fragments from non PDAC tissue-originated proteins in the urine using the multiple-reaction-monitoring technique (MRM) for discriminating resectable PDAC from healthy controls. Methods: Urinary proteins were digested with trypsin, and resultant peptides were measured by MRM analysis and the ratio of the level of each fragment to the non-fragmented protein level (fragmentation ratio) was calculated. Fragments for which the fragmentation ratios were higher in the PDAC group than those in the healthy group were defined as abnormal protein fragments. The diagnostic capability of each abnormal protein fragment for discriminating cases of PDAC from healthy controls was evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 21 patients with resectable PDAC and 30 healthy control subjects were enrolled in this study. All the PDAC patients were treated by pancreatic resection. Urine samples for this study were collected prior to the surgery from the PDAC patients. The non PDAC tissue-originated protein was determined as a liver-originated protein. The fragmentation ratios for six fragments were found to be higher in the PDAC group as compared to those in the healthy control group, and these fragments were determined as abnormal protein fragments. ROC curve analysis was performed for each of the abnormal fragments to determine the areas under the curve (AUCs) for discriminating cases of PDAC from healthy controls. The best AUC was 0.81 (95% CI, 0.68-0.91). Conclusions: The urinary fragmentation ratios showed the ability to discriminate cases of resectable PDAC from a healthy control group; abnormal fragmentation ratios may be promising, noninvasively measurable biomarkers of early PDAC.

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Plasma microRNA-9 as a diagnostic and prognostic biomarker in patients with esophageal squamous cell carcinoma

Journal of International Medical Research ◽

10.1177/0300060517709370 ◽

2017 ◽

Vol 45 (4) ◽

pp. 1310-1317 ◽

Cited By ~ 8

Author(s):

Yuantao Cui ◽

Yuan Xue ◽

Shangwen Dong ◽

Peng Zhang

Keyword(s):

Squamous Cell Carcinoma ◽

Esophageal Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Roc Curve ◽

Prognostic Biomarker ◽

Clinical Stage ◽

Curve Analysis ◽

Healthy Controls ◽

Roc Curve Analysis

Purpose Emerging evidence indicates that circulating microRNAs (miRs) might act as noninvasive biomarkers for cancer diagnosis and prognosis. We examined the expression pattern and clinical significance of plasma miR-9 in patients with esophageal squamous cell carcinoma (ESCC). Methods Venous blood samples (6 mL) were collected from 131 patients with ESCC and 131 healthy controls, and the plasma miR-9 concentration was detected by reverse transcription polymerase chain reaction. The association of plasma miR-9 expression with clinicopathologic factors and survival of patients with ESCC was evaluated. Receiver operating characteristic (ROC) curve analysis was applied to evaluate the clinical value of plasma miR-9 for ESCC diagnosis. Results The plasma miR-9 expression levels in patients with ESCC were significantly upregulated compared with normal controls. High plasma miR-9 concentrations were significantly correlated with poor tumor differentiation, large tumor size, deep local invasion, lymph node metastasis, advanced clinical stage, and poor survival. ROC curve analysis showed that the plasma miR-9 concentration could efficiently distinguish patients with ESCC from healthy controls. Multivariate survival analysis confirmed plasma miR-9 as an independent prognostic factor for ESCC. Conclusions Plasma miR-9 expression was upregulated in ESCC and might act as a novel diagnostic and prognostic biomarker.

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Tumor-Educated Platelet miR-18a-3p as a Novel Liquid-Biopsy Biomarker for Early Diagnosis and Chemotherapy Efficacy Monitoring in Nasopharyngeal Carcinoma

Frontiers in Oncology ◽

10.3389/fonc.2021.736412 ◽

2021 ◽

Vol 11 ◽

Author(s):

Kaiyu Sun ◽

Hui Wang ◽

Xianqun Xu ◽

Xiuqi Wei ◽

Jingyu Su ◽

...

Keyword(s):

Nasopharyngeal Carcinoma ◽

Early Diagnosis ◽

Roc Curve ◽

Liquid Biopsy ◽

Area Under The Curve ◽

Curve Analysis ◽

Clinical Value ◽

Roc Curve Analysis ◽

Expression Levels ◽

Chemotherapy Efficacy

AimsTo evaluate the value of tumor-educated platelet (TEP) miR-18a-3p in the early diagnosis and chemotherapy efficacy monitoring of nasopharyngeal carcinoma (NPC).MethodsExpression levels of miR-18a-3p in platelets and plasma were detected by relative quantitative real-time PCR in NPC patients (n=54) and normal subjects (n=36). Diagnostic values of TEP miR-18a-3p for NPC was assessed by receiver operating characteristic (ROC) curve analysis. Follow up study was carried out to observe the dynamic changes of TEP miR-18a-3p with chemotherapy on 3 NPC patients.ResultsThe expression levels of TEP miR-18a-3p in NPC patients were significantly higher than that in healthy controls (p < 0.0001). ROC curve analysis showed that the area under the curve (AUC) value was 0.841, the sensitivity and specificity for the diagnosis of NPC were 87% and 72.7%. No correlation was found between expression levels of TEP miR-18a-3p and patients’ clinical parameters and their NPC tumor-node-metastasis (TNM) stage. The positive rate of TEP miR-18a-3p and EBV DNA for NPC diagnosis were 85.4% and 66.7%. TEP miR-18a-3p expression were down-regulated after 77.8% (7 of 9) of chemotherapy, and in 66.7% (2 of 3) patients, TEP miR-18a-3p levels decreased after 3 cycles of chemotherapy.ConclusionThe expression levels of TEP miR-18a-3p are upregulated in NPC and have a high probability to downregulated after chemotherapy, indicating a significant clinical value. TEP miR-18a-3p might serve as a novel type of liquid-biopsy biomarker for early diagnosis and chemotherapy efficacy monitoring in NPC.

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The correlation of JKAP with risk, severity, inflammation and in-hospital mortality of severe acute pancreatitis

10.21203/rs.2.12782/v1 ◽

2019 ◽

Author(s):

Jing Li ◽

Min Ming ◽

Yonghong Han

Keyword(s):

Acute Pancreatitis ◽

Hospital Mortality ◽

Severe Acute Pancreatitis ◽

Roc Curve ◽

Sofa Score ◽

Curve Analysis ◽

Enzyme Linked Immunosorbent Assay ◽

Healthy Controls ◽

Roc Curve Analysis ◽

Ranson Score

Abstract Background This study aimed to investigate the predictive value of JNK pathway-associated phosphatase (JKAP) level for severe acute pancreatitis (SAP) risk, and its association with disease severity, inflammation and in-hospital mortality in SAP patients. Methods Our study recruited 50 SAP patients, 50 moderate-severe acute pancreatitis (MSAP) patients, 50 mild acute pancreatitis (MAP) patients and 50 healthy controls. And the serum samples were obtained from all acute pancreatitis patients within 24 hours after admission and from health controls at their enrollment to detect JKAP level by enzyme-linked immunosorbent assay. Results JKAP level was decreased in SAP patients compared with healthy controls, MSAP and MAP patients. And receiver operating characteristics (ROC) curve analysis revealed that JKAP could not only distinguish SAP patients from healthy controls (AUC: 0.914, 95%CI: 0.857-0.971), but also differentiate SAP patients from MAP patients (AUC: 0.869, 95%CI: 0.802-0.937) and MSAP patients (AUC: 0.712, 95%CI: 0.610-0.813). In SAP patients, JKAP was negatively correlated with Ranson score, acute physiology and chronic health care evaluation II (APACEH II) score, sequential organ failure assessment (SOFA) score and C-reactive protein (CRP). And lower JKAP level, higher CRP level, Ranson score, APACEH II score and SOFA score were associated with increased in-hospital mortality in SAP patients. Additionally, ROC curve analysis showed that JKAP could predict decreased in-hospital mortality in SAP patients (AUC: 0.720, 95%CI: 0.526-0.914). Conclusions JKAP might serve as a biomarker for disease risk and management for SAP.

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Several miRNAs derived from serum extracellular vesicles are potential biomarkers for early diagnosis and progression of Parkinson’s disease

Translational Neurodegeneration ◽

10.1186/s40035-021-00249-y ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Shulei He ◽

Lu Huang ◽

Ci Shao ◽

Tiejian Nie ◽

Li Xia ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Early Diagnosis ◽

Extracellular Vesicles ◽

Unmet Need ◽

Functional Enrichment ◽

Differentially Expressed ◽

Healthy Controls ◽

Roc Curve Analysis ◽

Qrt Pcr

Abstract Background Blood-based test for predicting disease progression and early diagnosis of Parkinson’s disease (PD) is an unmet need in the clinic. The profiles of microRNAs (miRNAs) are regarded as potential diagnostic biomarkers for human diseases, whereas miRNAs in the periphery are susceptible to the influence of various components. MiRNAs enriched in serum extracellular vesicles (EVs) have demonstrated disease-specific advantages in diagnosis due to their high abundance, stability and resistance to degradation. This study was aimed to screen differentially expressed EV-derived miRNAs between healthy controls and PD patients to aid in diagnosis of PD. Methods A total of 31 healthy controls and 72 patients with a diagnosis of PD at different Hoehn and Yahr stages in Tangdu Hospital were included. In total, 185 differentially expressed miRNAs were obtained through RNA sequencing of serum EVs as well as edgeR and t-test analyses. Subsequently, the weighted gene co-expression network analysis (WGCNA) was utilized to identify the commonly expressed miRNAs in all stages of PD by constructing connections between modules, and specifically expressed miRNAs in each stage of PD by functional enrichment analysis. After aligning these miRNAs with PD-related miRNAs in Human miRNA Disease Database, the screened miRNAs were further validated by receiver operating characteristic (ROC) curves and quantitative real-time polymerase chain reaction (qRT-PCR) using peripheral blood EVs from 40 more participants. Results WGCNA showed that 4 miRNAs were commonly associated with all stages of PD and 13 miRNAs were specifically associated with different stages of PD. Of the 17 obtained miRNAs, 7 were validated by ROC curve analysis and 7 were verified in 40 more participants by qRT-PCR. Six miRNAs were verified by both methods, which included 2 miRNAs that were commonly expressed in all stages of PD and 4 miRNAs that were specifically expressed in different stages of PD. Conclusions The 6 serum EV-derived miRNAs, hsa-miR-374a-5p, hsa-miR-374b-5p, hsa-miR-199a-3p, hsa-miR-28-5p, hsa-miR-22-5p and hsa-miR-151a-5p, may potentially be used as biomarkers for PD progression and for early diagnosis of PD in populations.

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Identification of Cross-Talk and Pyroptosis-Related Genes Linking Periodontitis and Rheumatoid Arthritis Revealed by Transcriptomic Analysis

Disease Markers ◽

10.1155/2021/5074305 ◽

2021 ◽

Vol 2021 ◽

pp. 1-29

Author(s):

Yongbin Jing ◽

Dong Han ◽

Chunyang Xi ◽

Jinglong Yan ◽

Jinpeng Zhuang

Keyword(s):

Rheumatoid Arthritis ◽

Cross Talk ◽

Roc Curve ◽

Predictive Accuracy ◽

Curve Analysis ◽

Differentially Expressed ◽

Roc Curve Analysis ◽

The Core ◽

The Cross ◽

Blue Module

Background. The current study is aimed at identifying the cross-talk genes between periodontitis (PD) and rheumatoid arthritis (RA), as well as the potential relationship between cross-talk genes and pyroptosis-related genes. Methods. Datasets for the PD (GSE106090, GSE10334, GSE16134) and RA (GSE55235, GSE55457, GSE77298, and GSE1919) were downloaded from the GEO database. After batch correction and normalization of datasets, differential expression analysis was performed to identify the differentially expressed genes (DEGs). The cross-talk genes linking PD and RA were obtained by overlapping the DEGs dysregulated in PD and DEGs dysregulated in RA. Genes involved in pyroptosis were summarized by reviewing literatures, and the correlation between pyroptosis genes and cross-talk genes was investigated by Pearson correlation coefficient. Furthermore, the weighted gene coexpression network analysis (WGCNA) was carried out to identify the significant modules which contained both cross-talk genes and pyroptosis genes in both PD data and RA data. Thus, the core cross-talk genes were identified from the significant modules. Receiver-operating characteristic (ROC) curve analysis was performed to identify the predictive accuracy of these core cross-talk genes in diagnosing PD and RA. Based on the core cross-talk genes, the experimentally validated protein-protein interaction (PPI) and gene-pathway network were constructed. Results. A total of 40 cross-talk genes were obtained. Most of the pyroptosis genes were not differentially expressed in disease and normal samples. By selecting the modules containing both cross-talk genes or pyroptosis genes, the blue module was identified to be significant module. Three genes, i.e., cross-talk genes (TIMP1, LGALS1) and pyroptosis gene-GPX4, existed in the blue module of PD network, while two genes (i.e., cross-talk gene-VOPP1 and pyroptosis gene-AIM2) existed in the blue module of RA network. ROC curve analysis showed that three genes (TIMP1, VOPP1, and AIM2) had better predictive accuracy in diagnosing disease compared with the other two genes (LGALS1 and GPX4). Conclusions. This study revealed shared mechanisms between RA and PD based on cross-talk and pyroptosis genes, supporting the relationship between the two diseases. Thereby, five modular genes (TIMP1, LGALS1, GPX4, VOPP1, and AIM2) could be of relevance and might serve as potential biomarkers. These findings are a basis for future research in the field.

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