Three-dimensional geometric morphometrics of thorax-pelvis covariation and its potential for predicting the thorax morphology: A case study on Kebara 2 Neandertal

The skeletal torso is a complex structure of outstanding importance in understanding human body shape evolution, but reconstruction usually entails an element of subjectivity as researchers apply their own anatomical expertise to the process. Among different fossil reconstruction methods, 3D geometric morphometric techniques have been increasingly used in the last decades. Two-block partial least squares analysis has shown great potential for predicting missing elements by exploiting the covariation between two structures (blocks) in a reference sample: one block can be predicted from the other one based on the strength of covariation between blocks. The first aim of this study is to test whether this predictive approach can be used for predicting thorax morphologies from pelvis morphologies within adult Homo sapiens reference samples with known covariation between the thorax and the pelvis. The second aim is to apply this method to Kebara 2 Neandertal (Israel, ∼60 ka) to predict its thorax morphology using two different pelvis reconstructions as predictors. We measured 134 true landmarks, 720 curve semilandmarks, and 160 surface semilandmarks on 60 3D virtual torso models segmented from CT scans. We conducted three two-block partial least squares analyses between the thorax (block 1) and the pelvis (block 2) based on the H. sapiens reference samples after performing generalized Procrustes superimposition on each block separately. Comparisons of these predictions in full shape space by means of Procrustes distances show that the male-only predictive model yields the most reliable predictions within modern humans. In addition, Kebara 2 thorax predictions based on this model concur with the thorax morphology proposed for Neandertals. The method presented here does not aim to replace other techniques, but to rather complement them through quantitative prediction of a virtual 'scaffold' to articulate the thoracic fossil elements, thus extending the potential of missing data estimation beyond the methods proposed in previous works

The inheritance of corneal endothelial cell density

BACKGROUND: Although it is known that some corneal diseases and degenerations have a significant heritable background, heritability on corneal endothelial cell density (ECD) has never been clearly determined. Our aim was to determine the heritability of corneal ECD. MATERIAL AND METHODS: Corneal ECD of 114 eyes (66 eyes of 33 monozygotic and 48 eyes of 24 dizygotic pairs; mean age 49.0 +/- 15.5 years) was investigated by Konan Noncon Robo NSP-9900 specular microscopy. Structural equation modeling (ACE model) was applied. RESULTS: Endothelial corneal cell density was highly heritable (82.0%, 95%CI, 70.0-92.0%), whereas the unique environmental contribution was 18.0% (95%CI, 8.0-29.0%). Shared environmental factors had no influence on the endothelial corneal cell density. DISCUSSION: In this twin study, we established first that the density of the corneal endothelial cells is strongly heritable, which should stimulate future genetic studies to identify genes and pathways that are involved in determining ECD which might in turn lead to future treatments to prevent EC loss