Neural network algorithm for the early detection of Parkinson's disease from blood plasma by FTIR micro-spectroscopy

Ahmed, Shiek S. S. J.; Santosh, Winkins; Kumar, Suresh; Christlet, T. Hema Thanka

doi:10.1016/j.vibspec.2010.01.019

Cited by 42 publications

(25 citation statements)

References 35 publications

(42 reference statements)

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“…Therefore, the repeatability and accuracy of such studies remains limited, often leading to statistically non relevant results. As drying of the liquid samples is accepted as a routine procedure, many efforts have been devoted to the development of robust and complex multivariate analysis methods in order to statistically discriminate the datasets [65,66], rather than improving and adapting the protocols used for sample preparation.…”

Section: Biophotonicsmentioning

confidence: 99%

Improved protocols for vibrational spectroscopic analysis of body fluids

Bonnier¹,

Petitjean

Baker

et al. 2013

Journal of Biophotonics

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The applications of vibrational spectroscopy to the examination of human blood serum are explored. Although FTIR spectra can be recorded in aqueous solutions at (gelatin) concentrations as low as 100 mg/L, the high-wavenumber region remains obscured by water absorption. Using Raman spectroscopy, high quality spectra of gelatine solutions as low as 10 mg/L can be achieved, also covering the high-wavenumber regions. In human serum, spectral profiles are weak and partially obscured by water features. Dried deposits are shown to be physically and chemically inhomogeneous resulting in reduced measurement reproducibility. Concentration of the serum using commercially available centrifugal filter devices results in an improvement in the spectral intensity and quality. Additionally, in Raman spectroscopy, reduced background and significantly enhanced signal collection is achievable by measurement in an inverted geometry. The improved protocols for spectroscopic measurement of human serum are applicable to a range of bodily fluids and should accelerate potential clinical applications

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Section: Biophotonicsmentioning

confidence: 99%

Improved protocols for vibrational spectroscopic analysis of body fluids

Bonnier¹,

Petitjean

Baker

et al. 2013

Journal of Biophotonics

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“…Fourier transform infrared (FTIR) spectroscopy to study blood‐based samples is not a new concept and there are several reports showing a usefulness of infrared spectroscopy for diagnosis, monitoring progression of diseases and their treatment by investigation of erythrocytes , leukocytes , platelets , plasma , and serum . Instead of the quantification of a single or a few biomarkers, on which most of the blood tests rely, the total biochemical composition of a sample is analyzed in a single and rapid measurement of plasma IR spectrum including peptides, proteins, lipids, RNA and others.…”

Section: Introductionmentioning

confidence: 99%

A possible Fourier transform infrared‐based plasma fingerprint of angiotensin‐converting enzyme inhibitor‐induced reversal of endothelial dysfunction in diabetic mice

Staniszewska-Slezak

Wiercigroch

Fedorowicz

et al. 2017

Journal of Biophotonics

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Angiotensin-converting enzyme inhibitors (ACE-I) display vasoprotective activity and represent the cornerstone in the treatment of cardiovascular diseases. In this study, we tested whether Fourier transform infrared (FTIR)-based analysis of blood plasma is sensitive to detect vasoprotective effects of treatment with perindopril including reversal of endothelial dysfunction in diabetes. For this purpose, plasma samples were collected from untreated db/db mice, db/db mice treated with 2 or 10 mg/kg perindopril and db+ mice. The effect of perindopril on endothelial function was examined in ex vivo aortic rings; 10 mg/kg but not 2 mg/kg of perindopril reversed endothelial dysfunction. In plasma of db/db mice, the balance between conformations of plasma proteins was noted, and treatment with perindopril at a high dose but not at a low dose reversed this effect. This was revealed by amide II/amide I ratio attributed to increased β-sheet formation. Spectral markers at 3010, 1520/1238 cm , representative for unsaturation degree of lipids and phosphorylation of tyrosine, respectively, were also affected by perindopril treatment. In conclusion, although metabolic abnormalities associated with type 2 diabetes mellitus such as hypertriglyceridemia and hyperglycemia strongly affected spectral FTIR profile of diabetic plasma, we identified FTIR features that seem to be associated with the vasoprotective activity of ACE-I.

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“…In such a scenario, blood/serum can be alternatively investigated using molecular spectroscopies like FTIR, Fluorescence and Raman. Several reports already indicate the utility of spectroscopic signatures of blood for several diseases, including cancers [15][16][17][18][19][20][21] . Raman spectroscopy for detection of cancers like breast, cervix, nasopharynx, colorectal, gastric and head and neck has already been explored [22][23][24][25][26] .…”

Section: Introductionmentioning

confidence: 99%

Classification of oral cancers using Raman spectroscopy of serum

et al. 2014

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Oral cancers are the sixth most common malignancy worldwide, with low 5-year disease free survival rates, attributable to late detection due to lack of reliable screening modalities. Our in vivo Raman spectroscopy studies have demonstrated classification of normal and tumor as well as cancer field effects (CFE), the earliest events in oral cancers. In view of limitations such as requirement of on-site instrumentation and stringent experimental conditions of this approach, feasibility of classification of normal and cancer using serum was explored using 532 nm excitation. In this study, strong resonance features of β-carotenes, present differentially in normal and pathological conditions, were observed. In the present study, Raman spectra of sera of 36 buccal mucosa, 33 tongue cancers and 17 healthy subjects were recorded using Raman microprobe coupled with 40X objective using 785 nm excitation, a known source of excitation for biomedical applications. To eliminate heterogeneity, average of 3 spectra recorded from each sample was subjected to PC-LDA followed by leave-one-out-cross-validation. Findings indicate average classification efficiency of ~70% for normal and cancer. Buccal mucosa and tongue cancer serum could also be classified with an efficiency of ~68%. Of the two cancers, buccal mucosa cancer and normal could be classified with a higher efficiency. Findings of the study are quite comparable to that of our earlier study, which suggest that there exist significant differences, other than β-carotenes, between normal and cancerous samples which can be exploited for the classification. Prospectively, extensive validation studies will be undertaken to confirm the findings.

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Neural network algorithm for the early detection of Parkinson's disease from blood plasma by FTIR micro-spectroscopy

Cited by 42 publications

References 35 publications

Improved protocols for vibrational spectroscopic analysis of body fluids

Improved protocols for vibrational spectroscopic analysis of body fluids

A possible Fourier transform infrared‐based plasma fingerprint of angiotensin‐converting enzyme inhibitor‐induced reversal of endothelial dysfunction in diabetic mice

Classification of oral cancers using Raman spectroscopy of serum

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