scholarly journals Publisher Correction: Nanoplasmonic immunosensor for the detection of SCG2, a candidate serum biomarker for the early diagnosis of neurodevelopmental disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
So-Hee Lim ◽  
Yun-Ju Sung ◽  
Narae Jo ◽  
Na-Yoon Lee ◽  
Kyoung-Shim Kim ◽  
...  
Author(s):  
Thanga Aarthy M. ◽  
Menaka R. ◽  
Karthik R.

Children with neurodevelopmental disorders are increasing gradually every year. One in 100 children are diagnosed with brain function disorder. There are wide categories of disorder such as attention deficit hyperactive disorder, learning, autism spectrum disorder (ASD), etc. In this work, the focus is on ASD, its clinical methods, and analysis in various research works. ASD is a neurodevelopmental disorder which affects the intellectual functioning, social interaction (adaptive behavior), and has a specific obsessive interest. At present, there is no known cure for ASD, but the level of the pathological condition can be reduced when it is detected early. Early detection is tough and challenging till date. Many researches were carried out to ease the early detection for clinicians. Each method has its own merits and demerits. This chapter reviews and condenses various research works and their efficacy in analysis for the early diagnosis and improvement in children with autism.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A977-A978
Author(s):  
Hideyuki Iwayama ◽  
Hiroki Kakita ◽  
Masumi Iwasa ◽  
Shinsuke Adachi ◽  
Kyoko Takano ◽  
...  

Abstract Background: Monocarboxylate transporter 8 (MCT8) deficiency is an X- chromosome-linked neurodevelopmental disorder resulting from impaired thyroid hormone transporter across cell membrane. The diagnosis of MCT8 deficiency is typically delayed owing to the late appearance of signs and symptoms as well as inability of standard biomarkers of neonatal screening to make an early diagnosis. Here, we report for the first time the ability to identify MCT8 deficiency at birth using dried blood spot (DBS) samples. Methods: We measured T3, T4, and reverse T3 (rT3) levels in DBS samples obtained at birth in healthy neonates (n = 42) and neonates with genetically confirmed diagnosis of MCT8 deficiency (n = 6). T3, rT3 and T4 levels were measured in 8 mm diameter DBS samples using liquid chromatography-tandem mass spectrometry. Results: Mean ± SD level of T3 tended to be higher in the MCT8 group than that in healthy neonates (0.941 ± 0.183 ng/mL vs. 0.742 ± 0.195 ng/mL, p = 0.0525). More importantly rT3 level in the MCT8 group was significantly lower than that in healthy neonates (0.317 ± 0.065 ng/mL vs. 0.768 ± 0.196 ng/mL, p < 0.0001) and the T3/rT3 ratio in the MCT8 group was significantly higher (3.04 ± 0.67 vs. 1.01 ± 0.34, p < 0.0001) with no overlap of values. T4 was lower in the MCT8 group than in healthy babies (93.4 ± 22.4 ng/mL vs. 156.7 ± 35.9 ng/mL, p < 0.0005) and the T3/T4 ratio of the MCT8 deficient group was higher (0.0105 ± 0.0029 vs. 0.0051 ± 0.0010, p< 0.0001). Conclusion: rT3 and T3/rT3 ratio measured in the DBS obtained from neonates can serve as biomarkers for diagnosis of MCT8 deficiency at birth.


2020 ◽  
Author(s):  
Chunmei Fan ◽  
Jinpeng Wang ◽  
Yanyan Tang ◽  
Shanshan Zhang ◽  
Fang Xiong ◽  
...  

Abstract Background: Identification of effective diagnostic and prognostic biomarkers of cancer is necessary for improving precision medicine. Long non-coding RNAs (lncRNAs) play an important regulatory role in tumor initiation and progression. The lncRNA LOC284454 is distinctly expressed in various head and neck cancers (HNCs), as demonstrated by our previous bioinformatics analysis. However, the expression levels and functions of LOC284454 in cancer are still unclear.Methods: We investigated the dysregulation of lncRNAs in HNCs using the GEO database and found that LOC284454 was highly expressed in HNCs. Serum samples from 212 patients with HNCs and 121 normal controls were included in this biomarker study. We measured the expression of LOC284454 in the sera of HNC patients and normal controls using RT-qPCR. Receiver operating characteristics (ROC) analysis is an important statistical method that is widely used in clinical diagnosis and disease screening. ROC was used to analyze the clinical value of LOC284454 in the early diagnosis of HNCs.Results: LOC284454 was significantly upregulated in the sera of patients with nasopharyngeal carcinoma, oral cancer, and thyroid cancer. LOC284454 upregulation had good clinical diagnostic value in these cancers, as evaluated by area under the ROC curve values of 0.931, 0.698, and 0.834, respectively.Conclusions:LOC284454 may be a valuable serum biomarker for HNCs facilitating the early diagnosis of malignant cancers. Further studies are needed to elucidate the mechanisms underlying the involvement of LOC284454 in HNCs. This study provides the first evidence that LOC284454 may be a serum biomarker for HNCs.


2015 ◽  
Author(s):  
Zaian Deng ◽  
Karen M. Mann ◽  
Eugene J. Koay ◽  
Mauro Ferrari ◽  
Xifeng Wu ◽  
...  

2020 ◽  
Author(s):  
Chunmei Fan ◽  
Jinpeng Wang ◽  
Yanyan Tang ◽  
Shanshan Zhang ◽  
Fang Xiong ◽  
...  

Abstract Background: Identification of effective diagnostic and prognostic biomarkers of cancer is necessary for improving precision medicine. Long non-coding RNAs (lncRNAs) play an important regulatory role in tumor initiation and progression. The lncRNA LOC284454 is distinctly expressed in various head and neck cancers (HNCs), as demonstrated by our previous bioinformatics analysis. However, the expression levels and functions of LOC284454 in cancer are still unclear.Methods: We investigated the dysregulation of lncRNAs in HNCs using the GEO database and found that LOC284454 was highly expressed in HNCs. Serum samples from 212 patients with HNCs and 121 normal controls were included in this biomarker study. We measured the expression of LOC284454 in the sera of HNC patients and normal controls using RT-qPCR. Receiver operating characteristics (ROC) analysis is an important statistical method that is widely used in clinical diagnosis and disease screening. ROC was used to analyze the clinical value of LOC284454 in the early diagnosis of HNCs.Results: LOC284454 was significantly upregulated in the sera of patients with nasopharyngeal carcinoma, oral cancer, and thyroid cancer. LOC284454 upregulation had good clinical diagnostic value in these cancers, as evaluated by area under the ROC curve values of 0.931, 0.698, and 0.834, respectively.Conclusions:LOC284454 may be a valuable serum biomarker for HNCs facilitating the early diagnosis of malignant cancers. Further studies are needed to elucidate the mechanisms underlying the involvement of LOC284454 in HNCs. This study provides the first evidence that LOC284454 may be a serum biomarker for HNCs.


2020 ◽  
Author(s):  
Chunmei Fan ◽  
Jinpeng Wang ◽  
Yanyan Tang ◽  
Shanshan Zhang ◽  
Fang Xiong ◽  
...  

Abstract Background: Identification of effective diagnostic and prognostic biomarkers of cancer is necessary for improving precision medicine. Long non-coding RNAs (lncRNAs) play an important regulatory role in tumor initiation and progression. The lncRNA LOC284454 is distinctly expressed in various head and neck cancers (HNCs), as demonstrated by our previous bioinformatics analysis. However, the expression levels and functions of LOC284454 in cancer are still unclear.Methods: We investigated the dysregulation of lncRNAs in HNCs using the GEO database and found that LOC284454 was highly expressed in HNCs. Serum samples from 212 patients with HNCs and 121 normal controls were included in this biomarker study. We measured the expression of LOC284454 in the sera of HNC patients and normal controls using RT-qPCR. Receiver operating characteristics (ROC) analysis is an important statistical method that is widely used in clinical diagnosis and disease screening. ROC was used to analyze the clinical value of LOC284454 in the early diagnosis of HNCs.Results: LOC284454 was significantly upregulated in the sera of patients with nasopharyngeal carcinoma, oral cancer, and thyroid cancer. LOC284454 upregulation had good clinical diagnostic value in these cancers, as evaluated by area under the ROC curve values of 0.931, 0.698, and 0.834, respectively.Conclusions:LOC284454 may be a valuable serum biomarker for HNCs facilitating the early diagnosis of malignant cancers. Further studies are needed to elucidate the mechanisms underlying the involvement of LOC284454 in HNCs. This study provides the first evidence that LOC284454 may be a serum biomarker for HNCs.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chunmei Fan ◽  
Jinpeng Wang ◽  
Yanyan Tang ◽  
Shanshan Zhang ◽  
Fang Xiong ◽  
...  

Abstract Background Identification of effective diagnostic and prognostic biomarkers of cancer is necessary for improving precision medicine. Long non-coding RNAs (lncRNAs) play an important regulatory role in tumor initiation and progression. The lncRNA LOC284454 is distinctly expressed in various head and neck cancers (HNCs), as demonstrated by our previous bioinformatics analysis. However, the expression levels and functions of LOC284454 in cancer are still unclear. Methods We investigated the dysregulation of lncRNAs in HNCs using the GEO database and found that LOC284454 was highly expressed in HNCs. Serum samples from 212 patients with HNCs and 121 normal controls were included in this biomarker study. We measured the expression of LOC284454 in the sera of HNC patients and normal controls using RT-qPCR. Receiver operating characteristics (ROC) analysis is an important statistical method that is widely used in clinical diagnosis and disease screening. ROC was used to analyze the clinical value of LOC284454 in the early diagnosis of HNCs. Results LOC284454 was significantly upregulated in the sera of patients with nasopharyngeal carcinoma, oral cancer, and thyroid cancer. LOC284454 upregulation had good clinical diagnostic value in these cancers, as evaluated by area under the ROC curve values of 0.931, 0.698, and 0.834, respectively. Conclusions LOC284454 may be a valuable serum biomarker for HNCs facilitating the early diagnosis of malignant cancers. Further studies are needed to elucidate the mechanisms underlying the involvement of LOC284454 in HNCs. This study provides the first evidence that LOC284454 may be a serum biomarker for HNCs.


2021 ◽  
Vol 12 ◽  
Author(s):  
Samantha Rodríguez-Muguruza ◽  
Antonio Altuna-Coy ◽  
Sonia Castro-Oreiro ◽  
Maria José Poveda-Elices ◽  
Ramon Fontova-Garrofé ◽  
...  

BackgroundThe etiology of rheumatoid arthritis (RA) remains poorly understood. Early and accurate diagnosis still difficult to achieve. Inflammatory related molecules released into the circulation such cytokines and exosome-derived microRNAs (exomiRNAs) could be good candidates for early diagnosis of autoimmune diseases. We sought to discover a serum biomarker panel for the early detection of RA based on exomiRNAs and inflammatory markers.MethodsA 179 miRNAs-microarray panel was analyzed in a pilot study (4 early RA and 4 controls). Validation of deregulated exomiRNAs was performed in a larger cohort (24 patients with early RA and 24 controls). miRNet software was used to predict exomiRNA gene-targets interactions. Potentially altered pathways were analyzed by Reactome pathway database search. STRING database was used to predict protein-protein interaction networks. Enzyme-linked immunosorbent assay was used to measure serum levels of sTWEAK and sCD163. Signature biomarker candidates were statistical analyzed.ResultsWe detected 11 differentially expressed exomiRNAs in early RA pilot study. Validation analysis revealed that 6/11 exomiRNAs showed strong agreement with the pilot microarray data (exomiR-144-3p, -25-3p, -15a-5p, -451a, -107 and -185-5p). sTWEAK and sCD163 biomarkers were significantly elevated in the serum of patients with early RA. Receiver operating characteristic (ROC) analysis showed that the best panel to diagnose early RA contained exomiR-451a, exomiR-25-3p and sTWEAK, and could correctly classify 95.6% of patients, with an area under the ROC curve of 0.983 and with 100% specificity and 85.7% sensitivity. The YWHAB gene was identified as a common target of the putative miRNA-regulated pathways.ConclusionA novel serum biomarker panel composed of exomiR-451a, exomiR-25-3p and serum levels of sTWEAK may have use in the early clinical diagnosis of RA. A new predicted exomiRNA-target gene YHWAB has been identified and may have a relevant role in the development of RA.


Tumor Biology ◽  
2016 ◽  
Vol 37 (7) ◽  
pp. 8909-8916 ◽  
Author(s):  
Wende Hao ◽  
Xuhui Zhang ◽  
Bingshui Xiu ◽  
Xiqin Yang ◽  
Shuofeng Hu ◽  
...  

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