Simultaneous quantitation of cytokeratin-19 fragment and carcinoembryonic antigen in human serum via quantum dot-doped nanoparticles

Chen, Zhenhua; Liang, Rongliang; Guo, Xinxin; Liang, Junyu; Deng, Qiaoting; Li, Min; An, Tongqing; Liu, Tiancai; Wu, Yixuan

doi:10.1016/j.bios.2016.12.036

Cited by 90 publications

(49 citation statements)

References 31 publications

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“…Thus, starting from the serum markers, finding susceptible and effective biomarkers have become a hot research topic. At present, many single nucleotide polymorphisms (SNPs) associated with lung cancer have been found by GWAS, Taqman probe (Taqman real time PCR) assays, DNA sequencing technology, such as CYFRA21-1 [ 5 , 6 ], NSE [ 7 ], CA19-9 [ 8 ], KDM4A [ 9 , 10 ], TP53 [ 11 ], KRT81 [ 12 ], etc. In epigenetic field, methylation, histone modification, RNA correlation silence, telomere are also relates with the development of lung cancer [ 13 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

Development of diagnostic model of lung cancer based on multiple tumor markers and data mining

et al. 2017

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ObjectiveTo develop early intelligent discriminative model of lung cancer and evaluate the efficiency of diagnosis value.MethodsBased on the genetic polymorphism profile of CYP1A1-rs1048943, GSTM1, mEH-rs1051740, XRCC1-rs1799782 and XRCC1-rs25489 and the methylations of p16 and RASSF1A gene, and the length of telomere in the peripheral blood from 200 lung cancer patients and 200 health persons, the discriminative model was established through decision tree and ANN technique.ResultsACU of the discriminative model based on multiple tumour markers increased by about 10%; The accuracy rate of decision tree model and ANN model for testing set were 93.00% and 89.62% respectively. The ROC analysis showed the decision tree model’s AUC is 0.929 (0.894∼0.964), the ANN model’s AUC is 0.894 (0.853∼0.935). However, the classify accuracy rate and AUC of Fisher discriminatory analysis model are all about 0.7.ConclusionThe early intelligent discriminative model of lung cancer based on multiple tumor markers and data mining techniques has a higher accuracy rate and might be useful for early diagnosis of lung cancer.

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Section: Introductionmentioning

confidence: 99%

Development of diagnostic model of lung cancer based on multiple tumor markers and data mining

et al. 2017

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“…In order to increase the accuracy of POCT, each TL value on the lateral flow strip needs to be normalized against that of the CL [30].…”

Section: Discussionmentioning

confidence: 99%

“…Despite the versatile tunability of the emission peaks of QDs in multiplexed diagnostic systems, few reports show their application in clinical diagnostics [29,30]. Since high-fluorescent QDs are usually synthesized at elevated temperatures in organic solvents, they are only soluble in non-polar organic solvents, which are not suitable for biological applications, water compatibility, and bioconjugation.…”

Section: Introductionmentioning

confidence: 99%

Development of a smartphone-based rapid dual fluorescent diagnostic system for the simultaneous detection of influenza A and H5 subtype in avian influenza A-infected patients

Yeo¹,

Kang²,

Dao³

et al. 2018

Theranostics

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Accurate and rapid diagnosis of highly pathogenic avian influenza A H5N1 is of critical importance for the effective clinical management of patients. Here, we developed a rapid and simultaneous detection toolkit for influenza A H5 subtype viruses in human samples based on a bioconjugate of quantum dots (QDs) assembly and a smartphone-based rapid dual fluorescent diagnostic system (SRDFDS).Methods: Two types of QDs were assembled on a latex bead to enhance the detection sensitivity and specificity of influenza A infection (QD580) and H5 subtype (QD650). The dual signals of influenza A and H5 subtype of H5N1-infected patients were detected simultaneously and quantified separately by SRDFDS equipped with two emission filters.Results: Our results showed a high sensitivity of 92.86% (13/14) and 78.57% (11/14), and a specificity of 100% (38/38, P < 0.0001) and 97.37% (37/38) for influenza A and H5 subtype detection, respectively.Conclusion: Therefore, our multiplex QD bioconjugates and SRDFDS-based influenza virus detection toolkit potentially provide accurate and meaningful diagnosis information with improved detection accuracies and sensitivities for H5N1 patients.

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“…A recent publication by Xiong's group described the development of a size-dependent competitive immunochromatographic assay using QD nanobeads to detect ochratoxin A in corn; this assay exhibited good sensitivity and provided quantitative data [31]. In another study, Wu et al [32] successfully developed a lateral flow test strip system featuring novel quantum dot-doped polystyrene nanoparticles to detect a cytokeratin-19 fragment and a carcinoembryonic antigen in human serum. More recently, Zhao et al [33] reported a QD-based lateral flow immunoassay that was used to detect natural product puerarin in both water and biological samples.…”

Section: Electronic Supplementary Materialsmentioning

confidence: 99%

A quantum dot-based lateral flow immunoassay for the rapid, quantitative, and sensitive detection of specific IgE for mite allergens in sera from patients with allergic rhinitis

2020

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The prevalence of allergic rhinitis (AR) is increasing worldwide. However, the current systems used to measure levels of immunoglobulin E (IgE) in sera are associated with several disadvantages that limit their further application. Consequently, there is a need to develop novel highly sensitive strategies that can rapidly detect IgE in a quantitative manner. The development of such systems will significantly enhance our ability to diagnose, treat, and even prevent AR. Herein, we describe our experience of using quantum dot-based lateral flow immunoassay (QD-LFIA), combined with a portable fluorescence immunoassay chip detector (PFICD), to detect serum-specific IgE against Dermatophagoides pteronyssinus (Der-p) and Dermatophagoides farinae (Der-f), two common mite allergens in China. Our data showed that our system could detect serum-specific levels of IgE against Der-p and Der-f as low as 0.093 IU/mL and 0.087 IU/mL, respectively. We also established a standard curve to determine serumspecific IgE concentrations that correlated well with the clinical BioIC microfluidics system. The sensitivity of our assay was 96.7% for Der-p and 95.5% for Der-f, while the specificity was 87.2% for Der-p and 85.3% for Der-f. Collectively, our results demonstrate that QD-LFIA is a reliable system that could be applied to detect serum-specific IgE in accordance with clinical demands. This QD-LFIA strategy can be applied at home, in hospitals, and in pharmacies, with reduced costs and time requirements when compared with existing techniques. In the future, this system could be developed to detect other types of allergens and in different types of samples (for example, whole blood).

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Simultaneous quantitation of cytokeratin-19 fragment and carcinoembryonic antigen in human serum via quantum dot-doped nanoparticles

Cited by 90 publications

References 31 publications

Development of diagnostic model of lung cancer based on multiple tumor markers and data mining

Development of diagnostic model of lung cancer based on multiple tumor markers and data mining

Development of a smartphone-based rapid dual fluorescent diagnostic system for the simultaneous detection of influenza A and H5 subtype in avian influenza A-infected patients

A quantum dot-based lateral flow immunoassay for the rapid, quantitative, and sensitive detection of specific IgE for mite allergens in sera from patients with allergic rhinitis

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