Call Cultures in Orang-Utans?

BACKGROUND: Several studies suggested great ape cultures, arguing that human cumulative culture presumably evolved from such a foundation. These focused on conspicuous behaviours, and showed rich geographic variation, which could not be attributed to known ecological or genetic differences. Although geographic variation within call types (accents) has previously been reported for orang-utans and other primate species, we examine geographic variation in the presence/absence of discrete call types (dialects). Because orang-utans have been shown to have geographic variation that is not completely explicable by genetic or ecological factors we hypothesized that this will be similar in the call domain and predict that discrete call type variation between populations will be found. METHODOLOGY/PRINCIPAL FINDINGS: We examined long-term behavioural data from five orang-utan populations and collected fecal samples for genetic analyses. We show that there is geographic variation in the presence of discrete types of calls. In exactly the same behavioural context (nest building and infant retrieval), individuals in different wild populations customarily emit either qualitatively different calls or calls in some but not in others. By comparing patterns in call-type and genetic similarity, we suggest that the observed variation is not likely to be explained by genetic or ecological differences. CONCLUSION/SIGNIFICANCE: These results are consistent with the potential presence of 'call cultures' and suggest that wild orang-utans possess the ability to invent arbitrary calls, which spread through social learning. These findings differ substantially from those that have been reported for primates before. First, the results reported here are on dialect and not on accent. Second, this study presents cases of production learning whereas most primate studies on vocal learning were cases of contextual learning. We conclude with speculating on how these findings might assist in bridging the gap between vocal communication in non-human primates and human speech

Abnormal H-Tfam in a patient harboring a single mtDNA deletion.

We report on a patient suffering from a progressive mitochondrial disorder characterized by ocular myopathy, exercise intolerance, and muscle wasting. Morphological examination of muscle biopsy showed increased variability in fiber size and scattered ragged-red fibers. Analysis of muscle mitochondrial DNA by Southern blot and PCR revealed a heteroplasmic single deletion of 4100 base pairs, located between nucleotide positions 8300 and 12,400. Western blot analysis showed high levels of the human mitochondrial transcription factor A (Tfam). Interestingly, we also detected an additional Tfam product, of approximately 22 kDa. This is the first case in which a qualitatively abnormal Tfam has been found to be associated with a mitochondrial disorder in humans

Human mitochondrial transcription factor A reduction and mitochondrial dysfunction in hashimoto's hypothyroid myopathy

BACKGROUND: Mitochondrial changes have been described in muscle tissue in acquired hypothyroidism. Among the molecular mechanisms by which thyroid hormones regulate expression of nuclear genes encoding for regulatory proteins of mitochondrial respiratory function, the mitochondrial transcription factor A (h-mtTFA) has been proposed to be a target of thyroid hormone action. The aim of this study has been to relate h-mtTFA levels in the skeletal muscle of patients affected by Hashimoto's hypothyroidism and myopathy (HHM) to muscle disease and thyroid status. PATIENTS AND METHODS: Eleven HHM patients underwent complete thyroid status and neurologic assessment, along with determination of exercise lactate anaerobic threshold (LT) and muscle biopsy in which h-mtTFA levels were measured and mtDNA was analyzed. RESULTS: Decreased exercise lactate threshold, presence of cytochrome c oxidase negative fibers, reduction of cytochrome c oxidase activity, and mitochondrial DNA copy number at muscle biopsy were indicative of mitochondrial involvement in these patients. Furthermore, muscle h-mtTFA levels were reduced to a variable extent in comparison with a group of euthyroid controls. The h-mtTFA levels were inversely correlated with TSH and LT lactate, and positively correlated with FT4. CONCLUSIONS: These results indicate that low levels of the h-mtTFA occur in skeletal muscle of HHM and suggest that abnormal h-mtTFA turnover may be implicated in the pathogenesis of mitochondrial alterations in this disease

Clinical and molecular findings in patients with giant axonal neuropathy (GAN).

13reservedGiant axonal neuropathy (GAN) is a rare autosomal recessive neurodegenerative disorder of early onset, clinically characterized by a progressive involvement of both peripheral and CNS. The diagnosis is based on the presence of characteristic giant axons, filled with neurofilaments, on nerve biopsy. Recently, the defective protein, gigaxonin, has been identified and different pathogenic mutations in the gigaxonin gene have been reported as the underlying genetic defect. Gigaxonin, a member of the BTB/kelch superfamily proteins, seems to play a crucial role in the cross talk between the intermediate filaments and the membrane network. The authors report clinical and molecular findings in five Italian patients with GAN. This study shows the allelic heterogeneity of GAN and expands the spectrum of mutations in the GAN gene. The frequent occurrence of private mutations stresses the importance of a complete gene analysis.mixedBRUNO C; BERTINI E; FEDERICO A; TONOLI E; LISPI ML; CASSANDRINI D; PEDEMONTE M; SANTORELLI FM; FILOCAMO M; DOTTI MT; SCHENONE A; A. MALANDRINI; MINETTI C.Bruno, C; Bertini, E; Federico, Antonio; Tonoli, E; Lispi, Ml; Cassandrini, D; Pedemonte, M; Santorelli, Fm; Filocamo, M; Dotti, Maria; Schenone, A; Malandrini, Alessandro; Minetti, C

Brain haemorrhage detection through SVM classification of impedance measurements

Machine Learning is becoming increasingly important in interpreting biological signals. In this work, we examine the potential for classification in brain haemorrhage detection. Numerical head and brain models with and without haemorrhagic lesions are designed. Impedance measurements from an electrode array positioned on the exterior of the head are used to train and test linear support vector machine (SVM) classifiers. The results show that this emerging measurement technique may have promise for detection and diagnosis of brain haemorrhage when coupled with such classifiers.peer-reviewe