FTIR study of Achilles tendinopathy: protein secondary structure changes in tendon post injury

Abstract Introduction Tendinopathy, a disease involving tendon inflammation and damage, results in considerable productivity and economic losses for the patient and the society. Currently available diagnosis/ treatment monitoring modalities are less efficacious and highly subjective, underlying the need for better tools. Previously, we have shown that Fourier Transform Infrared (FTIR) spectroscopy has potential in tendinopathy diagnosis/ monitoring, when combined with multivariate statistical analysis. The current study explores the spectral range that gave the best results in statistical analysis, to discover protein secondary structures associated with tendon injury and recovery that can act as markers of disease. Methods Animals (n=60) underwent a surgery in which Achilles tendon were injured by dropping a 20g weight. Rats were divided into three groups (n=20) - control (C), Achilles tendon injury (I) and Achilles tendon injury treated with amniotic membrane fragment treated (T). FTIR spectra were obtained from each group 3, 7, 14, and 28 days post injury/ treatment. Results Triple helix, β-turn, and disordered structure levels differ between control, injured and treated tendons over the time period studied. Parallel β-sheets increase steadily over time in treated tendons compared to control and injured. Conclusion Combined analysis of Triple helix, β- sheets, β-turn, and disordered structure levels may be useful for tendinopathy diagnosis and treatment monitoring. However, further studies in this area are required to confirm the findings.

A nuclear ribosomal DNA pseudogene in triatomines opens a new research field of fundamental and applied implications in Chagas disease

A pseudogene, designated as "ps(5.8S+ITS-2)", paralogous to the 5.8S gene and internal transcribed spacer (ITS)-2 of the nuclear ribosomal DNA (rDNA), has been recently found in many triatomine species distributed throughout North America, Central America and northern South America. Among characteristics used as criteria for pseudogene verification, secondary structures and free energy are highlighted, showing a lower fit between minimum free energy, partition function and centroid structures, although in given cases the fit only appeared to be slightly lower. The unique characteristics of "ps(5.8S+ITS-2)" as a processed or retrotransposed pseudogenic unit of the ghost type are reviewed, with emphasis on its potential functionality compared to the functionality of genes and spacers of the normal rDNA operon. Besides the technical problem of the risk for erroneous sequence results, the usefulness of "ps(5.8S+ITS-2)" for specimen classification, phylogenetic analyses and systematic/taxonomic studies should be highlighted, based on consistence and retention index values, which in pseudogenic sequence trees were higher than in functional sequence trees. Additionally, intraindividual, interpopulational and interspecific differences in pseudogene amount and the fact that it is a pseudogene in the nuclear rDNA suggests a potential relationships with fitness, behaviour and adaptability of triatomine vectors and consequently its potential utility in Chagas disease epidemiology and control.

Utilização da microespectroscopia infravermelha (FT-IR) para teste de algoritmos estatísticos na diferenciação dos micro-organismos Candida albicans, Candida dubliniensis e Candida parapsilosis / Using FT-IR microspectroscopy for testing statistical algorithms for differentiation of Candida albicans, Candida dubliniensis and Candida parapsilosis

As espécies do gênero Candida são causadoras de diversas infecções fúngicas e, nos últimos anos, tem sido desenvolvidas novas tecnologias para auxiliar nos diagnósticos microbiológicos. Dentre as técnicas está a espectroscopia infravermelha junto com a análise estatística multivariada. O objetivo deste trabalho é comparar dois métodos: estatístico (análise multivariada) e não-estatístico (ajuste de curva), utilizando os espectros infravermelhos de Candida albicans, Candida dubliniensis e Candida parapsilosis para testar o potencial do uso de Análise Estatística Multivariada para discriminação de espectros de micro-organismos. Para isso foram obtidos, utilizando o Spectrum Spotlight 400 da PerkinElmer, 54 espectros infravermelhos, sendo 18 de cada espécie, na faixa de 4000 a 1000 cm-1, com resolução de 4 cm-1, no modo de transmissão, a 20 ºC. A análise dos espectros foi realizada através de três métodos: (1) inspeção visual direta dos espectros; (2) análise estatística multivariada; (3) ajuste de curva para a determinação de estruturas secundárias de proteínas. Na região de 1200 a 1000 cm-1, os espectros apresentam diferenças que podem ser percebidas numa inspeção visual direta. Uma banda próxima de 1070 cm-1 e outra próxima de 1045 cm-1 apresentam intensidades relativas diferentes para os três espectros. Por outro lado, as bandas da amida I, na região de 1710 a 1590 cm-1, apresentam aspectos visuais semelhantes com máximo em 1651 cm-1 para os espectros dos três micro-organismos. Esse fato torna possível submeter a análise estatística multivariada a um teste de sua capacidade de diferenciar três espectros de Candida. A análise estatística multivariada foi aplicada aos 54 espectros para investigar as regiões de 4000 a 1000 cm-1 com exceção da região de 2600 a 2300 cm-1 e de 1710 a 1590 cm-1 que corresponde a das bandas da amida I. A técnica selecionada foi a análise por componentes principais (PCA, Principal Componente Analysis), utilizando os primeiros quatro componentes principais, em conjunto com a técnica hierárquica de análise de agrupamento (HCA, Hierarchical Clustering Analysis) segundo o método de Ward. Foi utilizado para esta análise o software MINITAB 15 e o resultado mostra uma clara discriminação dos espectros dos três micro-organismos nas duas regiões consideradas. Adicionalmente foi obtido o espectro médio de cada micro-organismo nas bandas da amida I na região de 1710 a 1590 cm-1. Os três espectros médios assim obtidos foram analisados pelo método de ajuste de curva que não é estatístico para determinar as estruturas secundárias de proteínas. Para esta análise o software ORIGIN 7.5 foi utilizado e os resultados obtidos mostram estruturas conformacionais diferentes nos três micro-organismos. Esses resultados confirmam a discriminação obtida através da análise estatística multivariada e visual. Pode-se concluir que as análises estatísticas multivariadas baseadas em análise por componentes principais e análise de agrupamento com uso do algoritmo Ward é potencialmente útil para discriminar micro-organismos através de seus espectros infravermelhos. Além disso, as análises mostram que as bandas da amida I dos espectros infravermelhos de Candida albicans, Candida dubliniensis e Candida parapsilosis fornecem um conjunto de dados cuja estrutura de agrupamento é conhecida e que pode ser útil para testar e validar algoritmos estatísticos de análise de agrupamento.

Films of Candida albicans, Candida dubliniensis and Candida parapsilosis were prepared and the infrared spectra of these films were obtained in the region 4000 to 1000 cm-1, with resolution of 4 cm-1, in the transmission mode, at 20 ºC. Fifty four spectra were obtained, 18 of each microorganism, with the PerkinElmer Spotlight 400 FT-IR, which has a microscope attached to a FT-IR spectrophotometer. The spectra were analyzed through three methods: (1) mere visual inspection; (2) multivariate statistical analysis; (3) curve-fitting for determining secondary structures of proteins. In the region 1200 to 1000 cm-1, the spectral bands show differences that can be seen by a mere visual inspection. On the other hand, the amide I bands, in the region 1710 to 1590 cm-1, have the same visual aspect for the three microorganisms. Multivariate statistical analysis was applied to analyze these amide I bands of all the 54 spectra. Principal component analysis (PCA) and techniques of hierarchical cluster analysis (HCA, Hierarchical Clustering Analysis) according to Ward's method were applied using the software MINITAB 15. The results show a clear discrimination of the three microorganisms. The average spectrum of each microorganism was obtained in the amide I band. Each average spectrum was analyzed by curve-fitting for the determination of secondary structures of proteins. The software used was the ORIGIN 7.5 and the results confirm the discrimination obtained through multivariate statistical analysis. This result shows that multivariate statistical analysis can be useful to discriminate infrared spectra of different microorganisms. Furthermore, this work shows that the amide I bands of the infrared spectra of Candida albicans, Candida dubliniensis, and Candida parapsilosis provide a set of data of known group structure that can be useful to test statistical algorithms of cluster analysis.

A critique of the utility of the prediction of protein secondary structure.

The Chou-Fasman predictive algorithm for determining the secondary structure of proteins from the primary sequence is reviewed. Many examples of its use are presented which illustrate its wide applicability, such as predicting (a) regions with the potential for conformational change, (b) sequences which are capable of assuming several conformations in different environments, (c) effects of single amino acid mutations, (d) amino acid replacements in synthesis of peptides to bring about a change in conformation, (e) guide to the synthesis of polypeptides with definitive secondary structure, e.g. signal sequences, (f) conformational homologues from varying sequences and (g) the amino acid requirements for amphiphilic α- helical peptides.