Introduction and expansion history of the masked palm civet, Paguma larvata, in Japan, revealed by mitochondrial DNA control region and cytochrome b analysis

The masked palm civet (Paguma larvata) in Japan is considered as an alien species; however, the details on introduction routes to Japan and the expansion history are still unclear. In the present study, to further solve these questions, we analyzed the mitochondrial DNA control region (523 base-pairs) of 226 individuals from Japan and Taiwan, and identified 13 haplotypes, which are phylogenetically closely related to each other. Then, we combined the present control region data with the previously reported cytochrome b sequences, and found multiple haplotypes in Shikoku, Gunma, and Tokyo. The population in Shikoku was formed by several genetic lineages, one of which was not found in other areas, indicating the differentiation of the Shikoku population from those in Central Honshu. In addition, animals with the major cytochrome b haplotype in Eastern Japan in the previous study were found to have three different haplotypes in control region. The results strongly show multiple introduced routes of P. larvata in Eastern Japan. Our study much contributes to further understanding of the expansion history of P. larvata on the Japanese islands, in conjunction with previous genetic data

The combination of MMSE with VSRAD and eZIS has greater accuracy for discriminating mild cognitive impairment from early Alzheimer's disease than MMSE alone.

BackgroundAlzheimer's disease (AD) is assessed by carefully examining a patient's cognitive impairment. However, previous studies reported inadequate diagnostic accuracy for dementia in primary care settings. Many hospitals use the automated quantitative evaluation method known as the Voxel-based Specific Regional Analysis System for Alzheimer's Disease (VSRAD), wherein brain MRI data are used to evaluate brain morphological abnormalities associated with AD. Similarly, an automated quantitative evaluation application called the easy Z-score imaging system (eZIS), which uses brain SPECT data to detect regional cerebral blood flow decreases associated with AD, is widely used. These applications have several indicators, each of which is known to correlate with the degree of AD. However, it is not completely known whether these indicators work better when used in combination in real-world clinical practice.MethodsWe included 112 participants with mild cognitive impairment (MCI) and 128 participants with early AD in this study. All participants underwent MRI, SPECT, and the Mini-Mental State Examination (MMSE). Demographic and clinical characteristics were assessed by univariate analysis, and logistic regression analysis with a combination of MMSE, VSRAD and eZIS indicators was performed to verify whether the diagnostic accuracy in discriminating between MCI and early AD was improved.ResultsThe area under the receiver operating characteristic curve (AUC) for the MMSE score alone was 0.835. The AUC was significantly improved to 0.870 by combining the MMSE score with two quantitative indicators from the VSRAD and eZIS that assessed the extent of brain abnormalities.ConclusionCompared with the MMSE score alone, the combination of the MMSE score with the VSRAD and eZIS indicators significantly improves the accuracy of discrimination between patients with MCI and early AD. Implementing VSRAD and eZIS does not require professional clinical experience in the treatment of dementia. Therefore, the accuracy of dementia diagnosis by physicians may easily be improved in real-world primary care settings