ATR-FTIR spectroscopy-based differentiation of hepatitis C and dengue infection in human freeze-dried sera

Ali, Salmann; Naseer, K.A.; Hussain, Irshad; Qazi, Javaria

doi:10.1016/j.infrared.2021.103912

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…It is worth mentioning that other colleagues have also successfully used ATR-FTIR for identifying dengue virus contagion. 17,67,68 ■ CONCLUSIONS In this work, we corroborated the potential of ATR-FTIR and chemometrics for assessing SARS-CoV-2 contagion status, as reported by colleagues in previous works. [18][19][20][21]58 Several serum constituents including viral RNA, proteins, glycogen, antibodies, and cytokines, could be attributed to differences in the infrared spectra between infected and non-infected patients, thus serving as chemical fingerprints.…”

Section: Sars-cov-2 Infection Status Averaged Spectra Of Both Categor...supporting

confidence: 88%

“…It is worth mentioning that other colleagues have also successfully used ATR-FTIR for identifying dengue virus contagion. 17 , 67 , 68 …”

Section: Results and Discussionmentioning

confidence: 99%

“…More studies should be performed on this topic, although the potential of ATR-FTIR and chemometrics for identifying dengue contagion status in serum was observed in this work. It is worth mentioning that other colleagues have also successfully used ATR-FTIR for identifying dengue virus contagion. ,, …”

Section: Results and Discussionmentioning

confidence: 99%

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Potential of ATR-FTIR–Chemometrics in Covid-19: Disease Recognition

et al. 2022

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The COVID-19 pandemic has caused major disturbances to human health and economy on a global scale. Although vaccination campaigns and important advances in treatments have been developed, an early diagnosis is still crucial. While PCR is the golden standard for diagnosing SARS-CoV-2 infection, rapid and low-cost techniques such as ATR-FTIR followed by multivariate analyses, where dimensions are reduced for obtaining valuable information from highly complex data sets, have been investigated. Most dimensionality reduction techniques attempt to discriminate and create new combinations of attributes prior to the classification stage; thus, the user needs to optimize a wealth of parameters before reaching reliable and valid outcomes. In this work, we developed a method for evaluating SARS-CoV-2 infection and COVID-19 disease severity on infrared spectra of sera, based on a rather simple feature selection technique (correlation-based feature subset selection). Dengue infection was also evaluated for assessing whether selectivity toward a different virus was possible with the same algorithm, although independent models were built for both viruses. High sensitivity (94.55%) and high specificity (98.44%) were obtained for assessing SARS-CoV-2 infection with our model; for severe COVID-19 disease classification, sensitivity is 70.97% and specificity is 94.95%; for mild disease classification, sensitivity is 33.33% and specificity is 94.64%; and for dengue infection assessment, sensitivity is 84.27% and specificity is 94.64%.

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Section: Sars-cov-2 Infection Status Averaged Spectra Of Both Categor...supporting

confidence: 88%

“…It is worth mentioning that other colleagues have also successfully used ATR-FTIR for identifying dengue virus contagion. 17 , 67 , 68 …”

Section: Results and Discussionmentioning

confidence: 99%

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Potential of ATR-FTIR–Chemometrics in Covid-19: Disease Recognition

et al. 2022

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“…A novel approach was proposed by Naseer and colleagues for dengue diagnosis, in which freeze-dried blood serum samples were subjected to ATR-FTIR analysis as a diagnostic tool to identify biochemical markers of dengue infection and to distinguish between healthy and diseased samples. The sensitivity and speci city values obtained for the classi cation were 89% and 95%, respectively 17 . By expanding their methodology for analysing freeze-dried blood sera, Ali and coworkers investigated the use of ATR-FTIR spectroscopy for the differential diagnosis of dengue and hepatitis C infections in human blood.…”

Section: Introductionmentioning

confidence: 95%

“…Biospectroscopy can be understood as the use of a spectroscopic technique to analyse biological samples. This spectroscopic approach has gained great attention in the medical eld as a potential tool for the detection and diagnosis of diseases [8][9][10][11] . In this context, infrared spectroscopy plays an important role as one of the most applied techniques, with a great number of reported successful studies found in the literature in recent decades.…”

Section: Introductionmentioning

confidence: 99%

Infrared spectroscopy and multivariate analysis applied to the differential diagnosis of leptospirosis and dengue

Zambrano,

Trilleras,

Arana

et al. 2024

Preprint

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Dengue and leptospirosis are considered systemic and very dynamic illnesses in which a patient can rapidly progress from mild to severe conditions. Both diseases present very similar acute initial symptoms, a fact that may result in a challenging differential diagnosis at the initial phases. Herein, we present the application of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy combined with multivariate analysis to perform differential diagnosis of leptospirosis and dengue by analysing blood plasma. The spectra of 114 samples from patients in different phases of infection (n = 43 for leptospirosis and n = 71 for dengue) were analysed by either linear or quadratic discrimination in association with genetic algorithms, successive projection algorithms and principal component analysis for feature selection/extraction. The best model, GA-QDA, achieved outstanding results in terms of maximum (100%) sensitivity, specificity and accuracy for classifying both classes by using only 31 spectral variables. The ANOVA calculations, at a confidence level of 95%, highlighted a set of 10 variables selected by the GA-QDA model (1296 cm-1, 1612 cm-1, 1673 cm-1, 1677 cm-1, 1678 cm-1, 1689 cm-1, 1694 cm-1, 1711 cm-1, 1713 cm-1 and 1719 cm-1) with significant differences in the absorbance means between the Leptospirosis and Dengue classes. These specific wavenumbers represent the most useful spectral information accounting for the biochemical changes that mark a specific infection. These remarkable results obtained in this pilot study highlight the viability of this methodology to be applied in clinical practice to serve as a simple and accurate test for discriminating between the two illnesses.

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