Detection of metabolic syndrome with ATR-FTIR spectroscopy and chemometrics in blood plasma

Souza, Nikolas Mateus Pereira de; Machado, Brenda Hunter; Koche, Andreia; Furtado, Lucia Beatriz Fernandes da Silva; Becker, Débora; Corbellini, Valeriano Antônio; Rieger, Alexandre

doi:10.1016/j.saa.2022.122135

Cited by 12 publications

(3 citation statements)

References 57 publications

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“…The evaluation of the reported studies’ publication quality identified the most common gap in publications as the lack of external validation, which was conducted by only two studies [ 13 , 49 ]. Twelve of the reported studies predefined the success criteria for model performance [ 15 , 19 , 22 , 25 , 26 , 36 , 38 , 41 , 43 , 47 , 48 ] and nine studies discussed the generalizability of the model [ 14 , 17 , 20 , 27 , 29 , 33 , 35 , 42 , 46 ]. All the studies, except one [ 37 ], discussed the balance between model accuracy and model sensitivity and specificity.…”

Section: Resultsmentioning

confidence: 99%

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells

et al. 2023

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Machine learning (ML) is a broad term encompassing several methods that allow us to learn from data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient–provider decision-making. This paper presents a review of articles that discuss the use of Fourier transform infrared (FTIR) spectroscopy and ML for human blood analysis between the years 2019–2023. The literature review was conducted to identify published research of employed ML linked with FTIR for distinction between pathological and healthy human blood cells. The articles’ search strategy was implemented and studies meeting the eligibility criteria were evaluated. Relevant data related to the study design, statistical methods, and strengths and limitations were identified. A total of 39 publications in the last 5 years (2019–2023) were identified and evaluated for this review. Diverse methods, statistical packages, and approaches were used across the identified studies. The most common methods included support vector machine (SVM) and principal component analysis (PCA) approaches. Most studies applied internal validation and employed more than one algorithm, while only four studies applied one ML algorithm to the data. A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of ML methods. There is a need to ensure that multiple ML approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that the discrimination of human blood cells is being made with the highest efficient evidence.

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Section: Resultsmentioning

confidence: 99%

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells

et al. 2023

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“…Applications of FTIR in diagnostics and molecule detection tests can be developed in various body fluids, which can be used either collectively for the same purpose or individually for different analyses. Thus, the construction of a digital signature for each biomolecule creates a detection tool that, combined with the low sample preparation requirements, creates a methodology that can be applied across various species with diverse fluids, such as plasma [44,45], saliva [46][47][48][49], blood [50][51][52], and urine [53][54][55][56], in order to identify a series of marker biomolecules such as proteins and hormones through changes in the spectrum of different small-to-medium-sized molecules that form them, such as acids, peptides, carbohydrates, and lipids, among others [57].…”

Section: Using the Ftir Technique It Is Possible To Detect Different ...mentioning

confidence: 99%

Perspectives of FTIR as Promising Tool for Pathogen Diagnosis, Sanitary and Welfare Monitoring in Animal Experimentation Models: A Review Based on Pertinent Literature

Neves,

Guerra,

de Lima

et al. 2024

Microorganisms

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Currently, there is a wide application in the literature of the use of the Fourier Transform Infrared Spectroscopy (FTIR) technique. This basic tool has also proven to be efficient for detecting molecules associated with hosts and pathogens in infections, as well as other molecules present in humans and animals’ biological samples. However, there is a crisis in science data reproducibility. This crisis can also be observed in data from experimental animal models (EAMs). When it comes to rodents, a major challenge is to carry out sanitary monitoring, which is currently expensive and requires a large volume of biological samples, generating ethical, legal, and psychological conflicts for professionals and researchers. We carried out a survey of data from the relevant literature on the use of this technique in different diagnostic protocols and combined the data with the aim of presenting the technique as a promising tool for use in EAM. Since FTIR can detect molecules associated with different diseases and has advantages such as the low volume of samples required, low cost, sustainability, and provides diagnostic tests with high specificity and sensitivity, we believe that the technique is highly promising for the sanitary and stress and the detection of molecules of interest of infectious or non-infectious origin.

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“…Unfortunately, no established method can comprehensively understand the differences in the molecular makeup of PCOS and healthy women. It would be intriguing to employ spectroscopic techniques alongside the standard method to compare and enhance therapeutic management [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Structural changes in amide I and amide II regions of PCOS women analyzed by ATR-FTIR spectroscopy

Kaur,

Singh,

Kaur

2024

Heliyon

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Detection of metabolic syndrome with ATR-FTIR spectroscopy and chemometrics in blood plasma

Cited by 12 publications

References 57 publications

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells

Perspectives of FTIR as Promising Tool for Pathogen Diagnosis, Sanitary and Welfare Monitoring in Animal Experimentation Models: A Review Based on Pertinent Literature

Structural changes in amide I and amide II regions of PCOS women analyzed by ATR-FTIR spectroscopy

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