FTIR Spectroscopy as a Tool to Study Age-Related Changes in Cardiac and Skeletal Muscle of Female C57BL/6J Mice

Magalhães, Sandra; Almeida, Idália; Martins, Filipa; Camões, Fátima; Soares, Ana Raquel; Goodfellow, Brian J.; Rebelo, Sandra; Nunes, Alexandra

doi:10.3390/molecules26216410

Cited by 7 publications

(8 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Peak area at 2868 cm –1 and 2956 cm –1 are associated to ν s (C–H) or ν as (C–H) of methyl (CH 3 ), respectively [ 22 ]. A ratio including these peak area ((2851 cm –1 + 2922 cm –1 )/(2956 cm –1 + 2868 cm –1 )) can be informative of acyl chain length [ 31 ] and, thus, it was also calculated ( Fig. 4 B, C).…”

Section: Resultsmentioning

confidence: 99%

FTIR Spectroscopy and Blood-Derived Extracellular Vesicles Duo in Alzheimer’s Disease

Soares Martins,

Ferreira,

Magalhães

et al. 2024

JAD

Self Cite

View full text Add to dashboard Cite

Background: Alzheimer’s disease (AD) diagnosis is difficult, and new accurate tools based on peripheral biofluids are urgently needed. Extracellular vesicles (EVs) emerged as a valuable source of biomarker profiles for AD, since their cargo is disease-specific and these can be easily isolated from easily accessible biofluids, as blood. Fourier Transform Infrared (FTIR) spectroscopy can be employed to analyze EVs and obtain the spectroscopic profiles from different regions of the spectra, simultaneously characterizing carbohydrates, nucleic acids, proteins, and lipids. Objective: The aim of this study was to identify blood-derived EVs (bdEVs) spectroscopic signatures with AD discriminatory potential. Methods: Herein, FTIR spectra of bdEVs from two biofluids (serum and plasma) and distinct sets of Controls and AD cases were acquired, and EVs’ spectra analyzed. Results: Analysis of bdEVs second derivative peaks area revealed differences between Controls and AD cases in distinct spectra regions, assigned to carbohydrates and nucleic acids, amides, and lipids. Conclusions: EVs’ spectroscopic profiles presented AD discriminatory value, supporting the use of bdEVs combined with FTIR as a screening or complementary tool for AD diagnosis.

show abstract

Section: Resultsmentioning

confidence: 99%

FTIR Spectroscopy and Blood-Derived Extracellular Vesicles Duo in Alzheimer’s Disease

Soares Martins,

Ferreira,

Magalhães

et al. 2024

JAD

Self Cite

View full text Add to dashboard Cite

show abstract

“…With spectroscopic data, it is virtually impossible to analyze all variables without the use of multivariate analysis. Here, we used PLS-R supervised multivariate analysis in the three spectral regions, using the 2nd derivative spectra and a random intern cross-validation with Kernel algorithm, as previously explained [ 10 ]. In this case, the Y matrix is the cell passage number which was used to produce a correlation plot between spectral profile and passage number.…”

Section: Methodsmentioning

confidence: 99%

“…The intensity of specific spectral bands from cells at passages 5, 7, 11 and 17 was calculated using two different approaches as in our previous study [ 10 ]. Briefly, the intensity of peaks assigned to CH (3010 cm −1 ), CH 2 (2851 cm −1 and 2922 cm −1 ) CH 3 (2959 cm −1 and 2871 cm −1 ), C=O (1733 cm −1 ), cholesterol esters (1169 cm −1 ) and protein secondary structures, namely β-sheets (1693 cm −1 , 1682 cm −1 and 1628 cm −1 ), were calculated using the peak intensities of 2nd derivative spectra.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

The Long-Term Culture of Human Fibroblasts Reveals a Spectroscopic Signature of Senescence

Magalhães

Almeida

Pereira

et al. 2022

IJMS

Self Cite

View full text Add to dashboard Cite

Aging is a complex process which leads to progressive loss of fitness/capability/ability, increasing susceptibility to disease and, ultimately, death. Regardless of the organism, there are some features common to aging, namely, the loss of proteostasis and cell senescence. Mammalian cell lines have been used as models to study the aging process, in particular, cell senescence. Thus, the aim of this study was to characterize the senescence-associated metabolic profile of a long-term culture of human fibroblasts using Fourier Transform Infrared and Nuclear Magnetic Resonance spectroscopy. We sub-cultivated fibroblasts from a newborn donor from passage 4 to passage 17 and the results showed deep changes in the spectroscopic profile of cells over time. Late passage cells were characterized by a decrease in the length of fatty acid chains, triglycerides and cholesterol and an increase in lipid unsaturation. We also found an increase in the content of intermolecular β-sheets, possibly indicating an increase in protein aggregation levels in cells of later passages. Metabolic profiling by NMR showed increased levels of extracellular lactate, phosphocholine and glycine in cells at later passages. This study suggests that spectroscopy approaches can be successfully used to study changes concomitant with cell senescence and validate the use of human fibroblasts as a model to monitor the aging process.

show abstract

“…considering tissues such as blood (56), saliva (57-59), urine (60), bone (61,62), pulmonary oedema fluid (63). On the other hand, there are studies presenting the use of FTIR to analyse molecular profiles of muscle tissue in animal models (64)(65)(66) and human muscle (67, 68). Nevertheless, there are only a few studies that have used FTIR spectroscopy to investigate modifications in muscle tissue associated with DM, and even these have been performed in animal models (69)(70)(71).…”

Section: Introductionmentioning

confidence: 99%

Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy

Zupančič,

Ugwoke,

Abdelmonaem

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

IntroductionThe global burden of diabetes mellitus is escalating, and more efficient investigative strategies are needed for a deeper understanding of underlying pathophysiological mechanisms. The crucial role of skeletal muscle in carbohydrate and lipid metabolism makes it one of the most susceptible tissues to diabetes-related metabolic disorders. In tissue studies, conventional histochemical methods have several technical limitations and have been shown to inadequately characterise the biomolecular phenotype of skeletal muscle to provide a holistic view of the pathologically altered proportions of macromolecular constituents.Materials and methodsIn this pilot study, we examined the composition of five different human skeletal muscles from male donors diagnosed with type 2 diabetes and non-diabetic controls. We analysed the lipid, glycogen, and collagen content in the muscles in a traditional manner with histochemical assays using different staining techniques. This served as a reference for comparison with the unconventional analysis of tissue composition using Fourier-transform infrared spectroscopy as an alternative methodological approach.ResultsA thorough chemometric post-processing of the infrared spectra using a multi-stage spectral decomposition allowed the simultaneous identification of various compositional details from a vibrational spectrum measured in a single experiment. We obtained multifaceted information about the proportions of the different macromolecular constituents of skeletal muscle, which even allowed us to distinguish protein constituents with different structural properties. The most important methodological steps for a comprehensive insight into muscle composition have thus been set and parameters identified that can be used for the comparison between healthy and diabetic muscles.ConclusionWe have established a methodological framework based on vibrational spectroscopy for the detailed macromolecular analysis of human skeletal muscle that can effectively complement or may even serve as an alternative to histochemical assays. As this is a pilot study with relatively small sample sets, we remain cautious at this stage in drawing definitive conclusions about diabetes-related changes in skeletal muscle composition. However, the main focus and contribution of our work has been to provide an alternative, simple and efficient approach for this purpose. We are confident that we have achieved this goal and have brought our methodology to a level from which it can be successfully transferred to a large-scale study that allows the effects of diabetes on skeletal muscle composition and the interrelationships between the macromolecular tissue alterations due to diabetes to be investigated.

show abstract

FTIR Spectroscopy as a Tool to Study Age-Related Changes in Cardiac and Skeletal Muscle of Female C57BL/6J Mice

Cited by 7 publications

References 36 publications

FTIR Spectroscopy and Blood-Derived Extracellular Vesicles Duo in Alzheimer’s Disease

FTIR Spectroscopy and Blood-Derived Extracellular Vesicles Duo in Alzheimer’s Disease

The Long-Term Culture of Human Fibroblasts Reveals a Spectroscopic Signature of Senescence

Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy

Contact Info

Product

Resources

About