Model-based correction algorithm for Fourier Transform infrared microscopy measurements of complex tissue-substrate systems.

Model-based algorithms have recently attracted much attention for data pre-processing in tissue mapping and imaging by Fourier transform infrared micro-spectroscopy (FTIR). Their versatility, robustness and computational performance enabled the improvement of spectral quality by mitigating the impact of scattering and fringing in FTIR spectra of chemically homogeneous biological systems. However, to date, no comprehensive algorithm has been optimized and automated for large-area FTIR imaging of histologically complex tissue samples. Herein, for the first time, we propose a unique, integrated and fully-automated Multiple Linear Regression Multi-Reference (MLR-MR) method for correcting linear baseline effects due to diffuse scattering, for compensating substrate thickness inhomogeneity and accounting for sample chemical heterogeneity in FTIR images. In particular, the algorithm uses multiple-reference spectra for histologically heterogeneous biological samples. The performance of the procedure was demonstrated for FTIR imaging of chemically complex rat brain frontal cortex tissue samples, mounted onto Ultralene® films. The proposed MLR-MR correction algorithm allows the efficient retrieval of "pure" absorbance spectra and greatly improves the histological fidelity of FTIR imaging data, as compared with the one-reference approach. In addition, the MLR-MR algorithm here presented opens up the possibility for extracting information on substrate thickness variability, thus enabling the indirect evaluation of its topography. As a whole, the MLR-MR procedure can be easily extended to more complex systems for which Mie scattering effects must also be eliminated.

Combined brain Fe, Cu, Zn and neurometabolite analysis - a new methodology for unraveling the efficacy of transcranial direct current stimulation (tDCS) in appetite control.

Obesity is a chronic, multifactorial origin disease that has recently become one of the most frequent lifestyle disorders. Unfortunately, current obesity treatments seem to be ineffective. At present, transcranial direct current brain stimulation (tDCS) represents a promising novel treatment methodology that seems to be efficient, well-tolerated and safe for a patient. Unfortunately, the biochemical action of tDCS remains unknown, which prevents its widespread use in the clinical arena, although neurobiochemical changes in brain signaling and metal metabolism are frequently reported. Therefore, our research aimed at exploring the biochemical response to tDCS in situ, in the brain areas triggering feeding behavior in obese animals. The objective was to propose a novel neurochemical (serotoninergic and dopaminergic signaling) and trace metal analysis of Fe, Cu and Zn. In doing so, we used energy-dispersive X-ray fluorescence (EDXRF) and high-performance liquid chromatography (HPLC). Anodal-type stimulation (atDCS) of the right frontal cortex was utilized to down-regulate food intake and body weight gain in obese rats. EDXRF was coupled with the external standard method in order to quantify the chemical elements within appetite-triggering brain areas. Major dopamine metabolites were assessed in the brains, based on the HPLC assay utilizing the external standard assay. Our study confirms that elemental analysis by EDXRF and brain metabolite assay by HPLC can be considered as a useful tool for the in situ investigation of the interplay between neurochemical and Fe/Cu/Zn metabolism in the brain upon atDCS. With this methodology, an increase in both Cu and Zn in the satiety center of the stimulated group could be reported. In turn, the most significant neurochemical changes involved dopaminergic and serotoninergic signaling in the brain reward system.

FTIR imaging of the molecular burden around Aß deposits in an early-stage 3-Tg-APP-PSP1-TAU mouse model of Alzheimer's disease.

Alzheimer's disease is one of the major causes of dementia in the elderly. The disease is caused by the misfolding of water soluble alpha-helical proteins, which leads to the accumulation of ß-sheets in the form of amyloid plaques, which can subsequently affect surrounding tissue areas by oxidative stress neurotoxicity. The aim of the present study was to design a novel methodology to analyze the extent to the neuronal burden around protein-rich Aß plaques suspected to affect molecular components by oxidative stress induced by inflammatory states. To do so, sagittal brain tissue sections from triple transgenic APPxPSP1xTAU mice were used to carry high magnification FTIR-FPA bench-top chemical imaging. The study used the combination of chemometric procedures involving spectral curve fitting and image processing to study the molecular changes occurring around the plaques. The study shows the performance of the approach by demonstrating its usefulness to co-localize molecular changes to different areas around the plaques. The results, although very preliminary, point to the strong interplay between the distance from the plaque and co-accumulation of molecular components indicative of inflammatory states.

Synchrotron radiation based X-ray fluorescence shows changes in the elemental composition of the human substantia nigra in aged brains.

Human brain aging is considered to be the leading risk factor for a variety of neurodegenerative alterations. In particular, it is thought that the human substantia nigra might play a pivotal role in age-associated dopamine depletion which could be responsible for neuronal demise and subsequent emergence of different neurological alterations. A plethora of neurochemical redox- and non-redox-driven mechanisms is mainly associated with modifications in the elemental composition of both neuromelanin-pigmented neurons and extraneuronal spaces in the human substantia nigra pars compacta (SNpc). An age-associated variation in the content of Fe, Cu, Zn and Ca has recently received great interest in neurology, as these elements are implicated in different biochemical mechanisms underlying malicious neurodegenerative disorders, including Parkinson's and Alzheimer's diseases. Interestingly, to the best our knowledge, there is lack of a comprehensive study on age-associated variation in the elemental composition of the human SNpc. In that respect, the aim of the present study was to make a preliminary attempt to unravel some of the age-associated mechanisms responsible for the metabolism of some redox-active and redox-inactive elements in the elderly. To do so, substantia nigra tissue specimens, drawn from 37 individuals who deceased without any signs of neurodegeneration, were subjected to spectroscopic studies using synchrotron radiation based X-ray fluorescence. Both neuromelanin-pigmented neurons and extraneuronal areas were studied. It appears that in the neurons, Fe tends to decrease, whilst Cu, Zn and Ca were found to accumulate as an individual gets older.

Peripheral vagus nerve stimulation significantly affects lipid composition and protein secondary structure within dopamine-related brain regions in rats.

Recent immunohistochemical studies point to the dorsal motor nucleus of the vagus nerve as the point of departure of initial changes which are related to the gradual pathological developments in the dopaminergic system. In the light of current investigations, it is likely that biochemical changes within the peripheral nervous system may influence the physiology of the dopaminergic system, suggesting a putative role for it in the development of neurodegenerative disorders. By using Fourier transform infrared microspectroscopy, coupled with statistical analysis, we examined the effect of chronic, unilateral electrical vagus nerve stimulation on changes in lipid composition and in protein secondary structure within dopamine-related brain structures in rats. It was found that the chronic vagal nerve stimulation strongly affects the chain length of fatty acids within the ventral tegmental area, nucleus accumbens, substantia nigra, striatum, dorsal motor nucleus of vagus and the motor cortex. In particular, the level of lipid unsaturation was found significantly increasing in the ventral tegmental area, substantia nigra and motor cortex as a result of vagal nerve stimulation. When it comes to changes in protein secondary structure, we could see that the mesolimbic, mesocortical and nigrostriatal dopaminergic pathways are particularly affected by vagus nerve stimulation. This is due to the co-occurrence of statistically significant changes in the content of non-ordered structure components, alpha helices, beta sheets, and the total area of Amide I. Macromolecular changes caused by peripheral vagus nerve stimulation may highlight a potential connection between the gastrointestinal system and the central nervous system in rat during the development of neurodegenerative disorders.

Variability of protein and lipid composition of human subtantia nigra in aging: Fourier transform infrared microspectroscopy study.

There is growing evidence that a variety of biochemical processes that underlie the most frequent neurodegenerative diseases may have much in common with those connected with natural aging. It was shown that they involve, among others, lipid peroxidation and/or generation of insoluble in water protein deposits (i.e. alpha-synuclein and/or beta amyloid). Therefore, it is likely that the analysis of changes in both lipid and protein composition may be interesting in the light of any potential pathologies occurring within the dopaminergic system during physiological aging. Thereby, this paper presents a methodology for the analysis of age-related changes in a lipid and protein composition within human subtantia nigra tissue by means of Fourier transform infrared microspectroscopy (FTIRM). Particularly, the changes in the lipid saturation, unsaturation as well as in the protein secondary structure were examined. The studies were carried out on samples from 35 individuals who died without any signs of neurologic dysfunctions. Our results show that the level of lipid saturation increases inside the subtantia nigra tissue with age, though the total content of lipid decreases with age of individuals. Moreover, the statistically significant decrease in the protein content within neuron bodies was observed. Interestingly, it is presented that the content of the anti-parallel beta sheets for neuron bodies decreases from seventh to eighth decades of life and subsequently markedly increases from eighth to ninth decades of life, whilst, as regards extraneuronal spaces, the opposite trends are reported i.e. increase from the seventh to eighth decades, and subsequent decrease in the ninth decade of life. These observations, though preliminary, shed the light on a putative contribution of various pathological lipid- and protein-related processes underlying senescence, suggesting a "biochemical link" between the aetiology of the most common neurodegenerative diseases and physiological aging.