Results from PLS-DA modeling.

<p>(A) Permutation test statistic at 2000 permutations with observed statistic of the model prediction accuracy with <i>p</i> < 0.0005. (B) VIP scores from the metabonomics model using two components. The boxes on the right represent the relative integral of the corresponding bin in each group (monoinfection and coinfection).</p

Results from PCA modeling.

<p>(A) PCA scores of coinfected patients and monoinfected patients. (B) Loading scatter plot of PC1 versus PC2, explaining 80.7% of variance.</p

Results from PLS-DA modeling.

<p>(A) Permutation test statistic at 2000 permutations with observed statistic of the model prediction accuracy with <i>p</i> < 0.0005. (B) VIP scores from the metabonomics model using two components. The boxes on the right represent the relative integral of the corresponding bin in each group (monoinfection and coinfection).</p

Results from PLS-DA modeling.

<p>(A) Scores scatter plot discriminating among coinfected and monoinfected patients. (B) The optimal number of PLS-DA components, according to the squared correlation coefficient (R²), the predictive ability (Q²), and the accuracy of the model; the asterisk indicates the best number of components based on accuracy of the model.</p

¹H NMR spectra (PRESAT-CPMG, 300 MHz) of serum, with attribution of signals responsible for discrimination.

<p>¹H NMR spectra (PRESAT-CPMG, 300 MHz) of serum, with attribution of signals responsible for discrimination.</p

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved