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Due to the influence of many environmental processes, a precise determination of the post-mortem interval (PMI) of skeletal remains is known to be very complicated. Although methods for the investigation of the PMI exist, there still remains much room for improvement. In this study the applicability of infrared (IR) microscopic imaging techniques such as reflection-, ATR- and Raman- microscopic imaging for the estimation of the PMI of human skeletal remains was tested. PMI specific features were identified and visualized by overlaying IR imaging data with morphological tissue structures obtained using light microscopy to differentiate between forensic and archaeological bone samples. ATR and reflection spectra revealed that a more prominent peak at 1042 cm-1 (an indicator for bone mineralization) was observable in archeological bone material when compared with forensic samples. Moreover, in the case of the archaeological bone material, a reduction in the levels of phospholipids, proteins, nucleic acid sugars, complex carbohydrates as well as amorphous or fully hydrated sugars was detectable at (reciprocal wavelengths/energies) between 3000 cm-1 to 2800 cm-1. Raman spectra illustrated a similar picture with less ν2PO43-at 450 cm-1 and ν4PO43- from 590 cm-1 to 584 cm-1, amide III at 1272 cm-1 and protein CH2 deformation at 1446 cm-1 in archeological bone material/samples/sources. A semi-quantitative determination of various distributions of biomolecules by chemi-maps of reflection- and ATR- methods revealed that there were less carbohydrates and complex carbohydrates as well as amorphous or fully hydrated sugars in archaeological samples compared with forensic bone samples. Raman- microscopic imaging data showed a reduction in B-type carbonate and protein α-helices after a PMI of 3 years. The calculated mineral content ratio and the organic to mineral ratio displayed that the mineral content ratio increases, while the organic to mineral ratio decreases with time. Cluster-analyses of data from Raman microscopic imaging reconstructed histo-anatomical features in comparison to the light microscopic image and finally, by application of principal component analyses (PCA), it was possible to see a clear distinction between forensic and archaeological bone samples. Hence, the spectral characterization of inorganic and organic compounds by the afore mentioned techniques, followed by analyses such as multivariate imaging analysis (MIAs) and principal component analyses (PCA), appear to be suitable for the post mortem interval (PMI) estimation of human skeletal remains.

Abstract: The successful marriage policy of margrave Leopold III increased the importance of the House of Babenberg in late medieval Austria (12th century). Historical documentation is inconclusive in providing evidence whether or not his eldest son Adalbert derived from an earlier relationship or from the marriage with King Henry IV''s daughter Agnes of Waiblingen, with whom Leopold is considered to have had 17 children. As a matter of fact Adalbert was ignored in the line of succession in favor of a younger brother, Leopold IV, which has led to long term historical discussions. Human remains attributed to these individuals were subjected to DNA analysis. Autosomal, Y-chromosomal and mitochondrial DNA analyses brought successful results, which suggested that Leopold III, Agnes and Adalbert were related in parent–son constellation, in contrast to historical considerations. A possible mix-up of Adalbert''s remains with those of his younger brother Ernst could not be confirmed by DNA analysis. [Copyright &y& Elsevier]

Due to the influence of many environmental processes, a precise determination of the post-mortem interval (PMI) of skeletal remains is known to be very complicated. Although methods for the investigation of the PMI exist, there still remains much room for improvement. In this study the applicability of infrared (IR) microscopic imaging techniques such as reflection-, ATR- and Raman- microscopic imaging for the estimation of the PMI of human skeletal remains was tested. PMI specific features were identified and visualized by overlaying IR imaging data with morphological tissue structures obtained using light microscopy to differentiate between forensic and archaeological bone samples. ATR and reflection spectra revealed that a more prominent peak at 1042 cm-1 (an indicator for bone mineralization) was observable in archeological bone material when compared with forensic samples. Moreover, in the case of the archaeological bone material, a reduction in the levels of phospholipids, proteins, nucleic acid sugars, complex carbohydrates as well as amorphous or fully hydrated sugars was detectable at (reciprocal wavelengths/energies) between 3000 cm-1 to 2800 cm-1. Raman spectra illustrated a similar picture with less ν2PO43-at 450 cm-1 and ν4PO43- from 590 cm-1 to 584 cm-1, amide III at 1272 cm-1 and protein CH2 deformation at 1446 cm-1 in archeological bone material/samples/sources. A semi-quantitative determination of various distributions of biomolecules by chemi-maps of reflection- and ATR- methods revealed that there were less carbohydrates and complex carbohydrates as well as amorphous or fully hydrated sugars in archaeological samples compared with forensic bone samples. Raman- microscopic imaging data showed a reduction in B-type carbonate and protein α-helices after a PMI of 3 years. The calculated mineral content ratio and the organic to mineral ratio displayed that the mineral content ratio increases, while the organic to mineral ratio decreases with time. Cluster-analyses of data from Raman microscopic imaging reconstructed histo-anatomical features in comparison to the light microscopic image and finally, by application of principal component analyses (PCA), it was possible to see a clear distinction between forensic and archaeological bone samples. Hence, the spectral characterization of inorganic and organic compounds by the afore mentioned techniques, followed by analyses such as multivariate imaging analysis (MIAs) and principal component analyses (PCA), appear to be suitable for the post mortem interval (PMI) estimation of human skeletal remains.

Mitochondrial point heteroplasmy is a common event observed not only in patients with mitochondrial diseases but also in healthy individuals. We here report a comprehensive investigation of heteroplasmy occurrence in human including the whole mitochondrial control region from nine different tissue types of 100 individuals. Sanger sequencing was used as a standard method and results were supported by cloning, minisequencing, and massively parallel sequencing. Only 12% of all individuals showed no heteroplasmy, whereas 88% showed at least one heteroplasmic position within the investigated tissues. In 66% of individuals up to 8 positions were affected. The highest relative number of heteroplasmies was detected in muscle and liver (79%, 69%), followed by brain, hair, and heart (36.7%-30.2%). Lower percentages were observed in bone, blood, lung, and buccal cells (19.8%-16.2%). Accumulation of position-specific heteroplasmies was found in muscle (positions 64, 72, 73, 189, and 408), liver (position 72) and brain (partial deletion at position 71). Deeper analysis of these specific positions in muscle revealed a non-random appearance and position-specific dependency on age. MtDNA heteroplasmy frequency and its potential functional importance have been underestimated in the past and its occurrence is ubiquitous and dependent at least on age, tissue, and position-specific mutation rates., (Copyright © 2014 © Elsevier B.V. and Mitochondria Research Society. Published by Elsevier B.V. All rights reserved.)