Mid-ATR-FTIR Spectroscopic Profiling of HIV/AIDS Sera for Novel Systems Diagnostics in Global Health

Sitole, Lungile; Steffens, François E.; Krüger, Tjaart P. J.; Meyer, Debra

doi:10.1089/omi.2013.0157

Cited by 69 publications

(37 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Omics biotechnologies such as genomics, proteomics, and metabolomics allow us to repurpose drugs or examine the system scale impacts of molecular perturbations, be they induced by drugs, nutrition, xenobiotics, or changes in the environmental stressors (Dandara et al, 2014;Gong et al, 2014;Kale et al, 2015;Kato et al, 2015;McCabe et al, 2015;Mounayar et al, 2014;Sahu et al, 2014;Sitole et al, 2014;Zheng et al, 2014). Based on the combined microarray, proteomics, and in silico data, a signaling pathway for L-mentholinduced apoptosis is being presented for the first time here.…”

Section: Discussionmentioning

confidence: 99%

Repurposing L-Menthol for Systems Medicine and Cancer Therapeutics? L-Menthol Induces Apoptosis through Caspase 10 and by Suppressing HSP90

Faridi

Dhawan

Pal

et al. 2016

OMICS: A Journal of Integrative Biology

View full text Add to dashboard Cite

The objective of the present study was to repurpose L-menthol, which is frequently used in oral health and topical formulations, for cancer therapeutics. In this article, we argue that monoterpenes such as L-menthol might offer veritable potentials in systems medicine, for example, as cheaper anti-cancer compounds. Other monoterpenes such as limonene, perillyl alcohol, and geraniol have been shown to induce apoptosis in various cancer cell lines, but their mechanisms of action are yet to be completely elucidated. Earlier, we showed that L-menthol modulates tubulin polymerization and apoptosis to inhibit cancer cell proliferation. In the present report, we used an apoptosis-related gene microarray in conjunction with proteomics analyses, as well as in silico interpretations, to study gene expression modulation in human adenocarcinoma Caco-2 cell line in response to L-menthol treatment. The microarray analysis identified caspase 10 as the important initiator caspase, instead of caspase 8. The proteomics analyses showed downregulation of HSP90 protein (also corroborated by its low transcript abundance), which in turn indicated inhibition of AKT-mediated survival pathway, release of pro-apoptotic factor BAD from BAD and BCLxL complex, besides regulation of other factors related to apoptosis. Based on the combined microarray, proteomics, and in silico data, a signaling pathway for L-menthol-induced apoptosis is being presented for the first time here. These data and literature analysis have significant implications for ''repurposing'' L-menthol beyond oral medicine, and in understanding the mode of action of plant-derived monoterpenes towards development of cheaper anticancer drugs in future.

show abstract

Section: Discussionmentioning

confidence: 99%

Repurposing L-Menthol for Systems Medicine and Cancer Therapeutics? L-Menthol Induces Apoptosis through Caspase 10 and by Suppressing HSP90

Faridi

Dhawan

Pal

et al. 2016

OMICS: A Journal of Integrative Biology

View full text Add to dashboard Cite

show abstract

“…It also provides the conformation structure of molecules and specific fingerprint-type information. FT-IR and Raman spectroscopy are multipurpose techniques that offer advantages in simplicity, rapidity, low cost and minimal sample preparation [8]. Spectroscopic analysis allows for objective classification on a molecular level [7].…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, biomolecules exhibit responses to different wavelengths of light, the resulting Fourier transform infrared (FT-IR) spectroscopy can be thought of as the sample "fingerprint". Therefore, they have been widely used on diagnosis of dengue infection [9], hepatitis B virus [9], HIV/AIDS [8], and so on. FT-IR and Raman spectroscopy are multipurpose techniques that offer advantages in simplicity, rapidity, low cost and minimal sample preparation [8].…”

Section: Introductionmentioning

confidence: 99%

“…FT-IR and Raman spectroscopy are multipurpose techniques that offer advantages in simplicity, rapidity, low cost and minimal sample preparation [8]. Therefore, they have been widely used on diagnosis of dengue infection [9], hepatitis B virus [9], HIV/AIDS [8], and so on. Almost all types of diseases, including thyroid dysfunction, change at the molecular level.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploration research on the fusion of multimodal spectrum technology to improve performance of rapid diagnosis scheme for thyroid dysfunction

Chen

Tong

et al. 2019

Journal of Biophotonics

View full text Add to dashboard Cite

The spectral fusion by Raman spectroscopy and Fourier infrared spectroscopy combined with pattern recognition algorithms is utilized to diagnose thyroid dysfunction serum, and finds the spectral segment with the highest sensitivity to further advance diagnosis speed. Compared with the single infrared spectroscopy or Raman spectroscopy, the proposal can improve the detection accuracy, and can obtain more spectral features, indicating greater differences between thyroid dysfunction and normal serum samples. For discriminating different samples, principal component analysis (PCA) was first used for feature extraction to reduce the dimension of high-dimension spectral data and spectral fusion. Then, support vector machine (SVM), back propagation neural network, extreme learning machine and learning vector quantization algorithms were employed to establish the discriminant diagnostic models. The accuracy of spectral fusion of the best analytical model PCA-SVM, single Raman spectral accuracy and single infrared spectral accuracy is 83.48%, 78.26% and 80%, respectively. The accuracy of spectral fusion is higher than the accuracy of single spectrum in five classifiers. And the diagnostic accuracy of spectral fusion in the range of 2000 to 2500 cm −1 is 81.74%, which greatly improves the sample measure speed and data analysis speed than analysis of full spectra. The results from our study demonstrate that the serum spectral fusion technique combined with multivariate statistical methods have great potential for the screening of thyroid dysfunction.

show abstract

“…Likewise, FT‐IR spectroscopy has been successfully used to investigate spectral variations linked to different molecular constituents and to detect diseased states in different tissues and cells . Segregation of HIV‐infected patients vs. control by applying FT‐IR technology has also been analyzed in a few studies .…”

Section: Introductionmentioning

confidence: 99%

Discrimination of patients with different serological evolution of HIV and co‐infection with HCV using metabolic fingerprinting based on Fourier transform infrared

Pizarro

Esteban‐Díez

Arenzana-Rámila

et al. 2017

Journal of Biophotonics

View full text Add to dashboard Cite

Human immunodeficiency virus (HIV) is a retrovirus that weakens the immune system and permits opportunistic diseases such as hepatitis C (HCV) to enter the body. These diseases induce metabolic disorders in the patients and it is therefore logical to approach them from a holistic, functional perspective, studying the metabolome comprehensively to identify metabolic signatures associated with certain disease states. The metabolomics strategy here proposed involves metabolic fingerprinting using Fourier transform infrared spectroscopy and chemometric tools on 72 plasma samples (subdivided into 63 training and 9 test samples) to differentiate between healthy subjects and patients with different disease stages. Several options, relating to the variable selection method used in linear discriminant analysis and the number of categories being considered, were explored to optimize discrimination ability. A total of 18 bands enabled differentiation between control subjects, HIV patients and the group that encompassed patients with acquired immune deficiency syndrome (AIDS), AIDS/HCV and HIV/HCV, providing overall classification and internal prediction rates of 97.67% and 93.65%, respectively. Only 9 bands were required to further discriminate between AIDS, AIDS/HCV and HIV/HCV, with 99.20% (training) and 89.66% (cross-validation) correct classifications. The simplicity and effectiveness of the classification methodology proposed was reinforced by the satisfactory results obtained in external prediction.

show abstract

Mid-ATR-FTIR Spectroscopic Profiling of HIV/AIDS Sera for Novel Systems Diagnostics in Global Health

Abstract: Global health, whether in developed or developing countries, is in need of robust systems diagnostics for major diseases, such as HIV/AIDS, impacting the world populations.

Cited by 69 publications

References 53 publications

Repurposing L-Menthol for Systems Medicine and Cancer Therapeutics? L-Menthol Induces Apoptosis through Caspase 10 and by Suppressing HSP90

Repurposing L-Menthol for Systems Medicine and Cancer Therapeutics? L-Menthol Induces Apoptosis through Caspase 10 and by Suppressing HSP90

Exploration research on the fusion of multimodal spectrum technology to improve performance of rapid diagnosis scheme for thyroid dysfunction

Discrimination of patients with different serological evolution of HIV and co‐infection with HCV using metabolic fingerprinting based on Fourier transform infrared

Contact Info

Product

Resources

About