Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry,Tensor-Based Morphometry and Voxel-Based Morphometry

Background

MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods.

Objective

To compare FTD with Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) with three automatic MRI analysis methods - Hippocampal Volumetry (HV), Tensor-based Morphometry (TBM) and Voxel-based Morphometry (VBM), in specific regions of interest in order to determine the highest classification accuracy.

Methods

Thirty-seven patients with FTD, 46 patients with AD, 26 control subjects, 16 patients with progressive MCI (PMCI) and 48 patients with stable MCI (SMCI) were examined with HV, TBM for shape change, and VBM for gray matter density. We calculated the Correct Classification Rate (CCR), sensitivity (SS) and specificity (SP) between the study groups.

Results

We found unequivocal results differentiating controls from FTD with HV (hippocampus left side) (CCR = 0.83; SS = 0.84; SP = 0.80), with TBM (hippocampus and amygdala (CCR = 0.80/SS = 0.71/SP = 0.94), and with VBM (all the regions studied, especially in lateral ventricle frontal horn, central part and occipital horn) (CCR = 0.87/SS = 0.81/SP = 0.96). VBM achieved the highest accuracy in differentiating AD and FTD (CCR = 0.72/SS = 0.67/SP = 0.76), particularly in lateral ventricle (frontal horn, central part and occipital horn) (CCR = 0.73), whereas TBM in superior frontal gyrus also achieved a high accuracy (CCR = 0.71/SS = 0.68/SP = 0.73). TBM resulted in low accuracy (CCR = 0.62) in the differentiation of AD from FTD using all regions of interest, with similar results for HV (CCR = 0.55).

Conclusion

Hippocampal atrophy is present not only in AD but also in FTD. Of the methods used, VBM achieved the highest accuracy in its ability to differentiate between FTD and AD.     

Surface Binding of Aflatoxin B1 by Lactic Acid Bacteria

Specific lactic acid bacterial strains remove toxins from liquid media by physical binding. The stability of the aflatoxin B₁ complexes formed with 12 bacterial strains in both viable and nonviable (heat- or acid-treated) forms was assessed by repetitive aqueous extraction. By the fifth extraction, up to 71% of the total aflatoxin B₁ remained bound. Nonviable bacteria retained the highest amount of aflatoxin B₁. Lactobacillus rhamnosus strain GG (ATCC 53103) and L. rhamnosus strain LC-705 (DSM 7061) removed aflatoxin B₁ from solution most efficiently and were selected for further study. The accessibility of bound aflatoxin B₁ to an antibody in an indirect competitive inhibition enzyme-linked immunosorbent assay suggests that surface components of these bacteria are involved in binding. Further evidence is the recovery of around 90% of the bound aflatoxin from the bacteria by solvent extraction. Autoclaving and sonication did not release any detectable aflatoxin B₁. Variation in temperature (4 to 37°C) and pH (2 to 10) did not have any significant effect on the amount of aflatoxin B₁ released. Binding of aflatoxin B₁ appears to be predominantly extracellular for viable and heat-treated bacteria. Acid treatment may permit intracellular binding. In all cases, binding is of a reversible nature, but the stability of the complexes formed depends on strain, treatment, and environmental conditions.     

Molecular phylogeny of Sterrhinae moths (Lepidoptera: Geometridae): towards a global classification

A multigene phylogenetic study was carried out to test current, mostly morphology-based hypotheses on Sterrhinae phylogeny with additional material included from further geographical areas and morphologically different lineages. A maximum likelihood analysis (11 molecular markers and 7665 bp) was conducted on 76 species and 41 genera using iq-tree software. The resulting phylogenetic hypothesis is well resolved and branches have high support values. Results generally agree with earlier hypotheses at tribal levels and support the hypothesis that Sterrhinae comprises two major lineages. Based on the molecular phylogeny and extensive morphological examination, nine tribes are considered valid and the following taxonomic changes are introduced to recognize monophyletic groups: Mecoceratini Guenée, 1858 (= Ametridini Prout, 1910) is transferred from Desmobathrinae to Sterrhinae, and it is considered valid at tribal level new classification ; Haemaleini Sihvonen & Brehm is described as a new tribe and deemed sister to Scopulini + Lissoblemmini; Lissoblemmini Sihvonen & Staude is described as a new tribe and sister to Scopulini; Lythriini Herbulot, 1962 is now a junior synonym of Rhodometrini Agenjo, 1952 syn.n. ; and Rhodostrophiini Prout, 1935 is now a junior synonym of Cyllopodini Kirby, 1892 syn.n. In addition, 48 taxa are transferred from other geometrid subfamilies to Sterrhinae, or within Sterrhinae from one tribe to another, or they are classified into a tribe for the first time, or a new genus classification is proposed. The results demonstrate the limited explanatory power of earlier classifications, particularly at the tribal level. This is probably a result of earlier classifications being based on superficial characters and biased towards the European and North American fauna. The species richness and distribution of Sterrhinae and its constituent tribes are reviewed, showing that the globally distributed Sterrhinae are most diverse in the Neotropics (31% of global fauna). They are species-rich in the Palaearctic (22%), Afrotropics (19%) and Indo-Malay (16%) regions, whereas they are almost absent in Oceania (1%). In terms of the described fauna, the most species-rich tribes are Scopulini (928 species), Sterrhini (876 species) and Cosymbiini (553 species), all of which have a cosmopolitan distribution. Mecoceratiini and Haemaleini are almost entirely Neotropical. Timandrini and Lissoblemmini, by contrast, are absent in the Neotropics. We present a revised classification of the global Sterrhinae fauna, which includes about 3000 putatively valid species, classified into nine tribes and 97 genera. Four genera are of uncertain position within Sterrhinae. Our results highlight the compelling need to include more genera from a global perspective in molecular phylogenetic studies, in order to create a stable global classification for this subfamily. This published work has been registered on ZooBank, http://zoobank.org/urn:lsid:zoobank.org :pub:A66F5DDD-06D6-4908-893E-E8B124BB99B1.     

A meta‐analysis of nestedness and turnover components of beta diversity across organisms and ecosystems

Aim

The number of studies investigating the nestedness and turnover components of beta diversity has increased substantially, but our general understanding of the drivers of turnover and nestedness remains elusive. Here, we examined the effects of species traits, spatial extent, latitude and ecosystem type on the nestedness and turnover components of beta diversity.

Location

Global.

Time period

1968–2017.

Major taxa studied

From bacteria to mammals.

Methods

From the 99 studies that partition total beta diversity into its turnover and nestedness components, we assembled 269 and 259 data points for the pairwise and multiple site beta‐diversity metrics, respectively. Our data covered a broad variation in species dispersal type, body size and trophic position. The data were from freshwater, marine and terrestrial realms, and encompassed geographical areas from the tropics to near polar regions. We used linear modelling as a meta‐regression tool to analyse the data.

Results

Pairwise turnover, multiple site turnover and total beta diversity all decreased significantly with latitude. In contrast, multiple site nestedness showed a positive relationship with latitude. Beta‐diversity components did not generally differ among the realms. The turnover component and total beta diversity increased with spatial extent, whereas nestedness was scale invariant for pairwise metrics. Multiple site beta‐diversity components did not vary with spatial extent. Surprisingly, passively dispersed organisms had lower turnover and total beta diversity than flying organisms. Body size showed a relatively weak relationship with beta diversity but had important interactions with trophic position, thus also affecting beta diversity via interactive effects. Producers had significantly higher average pairwise turnover and total beta diversity than carnivores.

Main conclusions

The present results provide evidence that species turnover, being consistently the larger component of total beta diversity, and nestedness are related to the latitude of the study area and intrinsic organismal features. We showed that two beta‐diversity components had generally opposing patterns with regard to latitude. We highlight that beta‐diversity partition may give additional insights into the underlying causes of spatial variability in biotic communities compared with total beta diversity alone.     

Linkage disequilibrium clustering‐based approach for association mapping with tightly linked genomewide data

Genomewide association studies (GWAS) aim to identify genetic markers strongly associated with quantitative traits by utilizing linkage disequilibrium (LD) between candidate genes and markers. However, because of LD between nearby genetic markers, the standard GWAS approaches typically detect a number of correlated SNPs covering long genomic regions, making corrections for multiple testing overly conservative. Additionally, the high dimensionality of modern GWAS data poses considerable challenges for GWAS procedures such as permutation tests, which are computationally intensive. We propose a cluster‐based GWAS approach that first divides the genome into many large nonoverlapping windows and uses linkage disequilibrium network analysis in combination with principal component (PC) analysis as dimensional reduction tools to summarize the SNP data to independent PCs within clusters of loci connected by high LD. We then introduce single‐ and multilocus models that can efficiently conduct the association tests on such high‐dimensional data. The methods can be adapted to different model structures and used to analyse samples collected from the wild or from biparental F₂ populations, which are commonly used in ecological genetics mapping studies. We demonstrate the performance of our approaches with two publicly available data sets from a plant (Arabidopsis thaliana) and a fish (Pungitius pungitius), as well as with simulated data.     

Activity and stability of human kallikrein-2-specific linear and cyclic peptide inhibitors.

Human glandular kallikrein (KLK2) is a highly prostate-specific serine protease, which is mainly excreted into the seminal fluid, but part of which is also secreted into circulation from prostatic tumors. Since the expression level of KLK2 is elevated in aggressive tumors and it has been suggested to mediate the metastasis of prostate cancer, inhibition of the proteolytic activity of KLK2 is of potential therapeutic value. We have previously identified several KLK2-specific linear peptides by phage display technology. Two of its synthetic analogs, A R R P A P A P G (KLK2a) and G A A R F K V W W A A G (KLK2b), show specific inhibition of KLK2 but their sensitivity to proteolysis in vivo may restrict their potential use as therapeutic agents. In order to improve the stability of the linear peptides for in vivo use, we have prepared cyclic analogs and compared their biological activity and their structural stability. A series of cyclic variants with cysteine bridges were synthesized. Cyclization inactivated one peptide (KLK2a) and its derivatives, while the other peptide (KLK2b) and its derivatives remained active. Furthermore, backbone cyclization of KLK2b improved significantly the resistance against proteolysis by trypsin and human plasma. Nuclear magnetic resonance studies showed that cyclization of the KLK2b peptides does not make the structures more rigid. In conclusion, we have shown that backbone cyclization of KLK2 inhibitory peptides can be used to increase stability without losing biological activity. This should render the peptides more useful for in vivo applications, such as tumor imaging and prostate cancer targeting.     

Two 17beta-hydroxysteroid dehydrogenases (17HSDs) of estradiol biosynthesis: 17HSD type 1 and type 7.

Two 17β-hydroxysteroid dehydrogenases (17HSDs), type 1 and type 7, are enzymes of estradiol biosynthesis, in addition to which rodent type 1 enzymes are also able to catalyze androgens. Both of the 17HSDs are abundantly expressed in ovaries, the type 1 enzyme in granulosa cells and type 7 in luteinized cells. The expression of 17HSD7, which has also been described as a prolactin receptor-associated protein (PRAP), is particularly up-regulated in corpus luteum during the second half of rodent pregnancy. A moderate or slight signal for mouse 17HSD7/PRAP mRNA has also been demonstrated in samples of placenta and mammary gland, for example. Human, but not rodent, 17HSD1 is expressed in placenta, breast epithelium and endometrium in addition to ovaries. A cell-specific enhancer, silencer and promoter in the hHSD17B1 gene participate in the regulation of type 1 enzyme expression. The enhancer consists of several subunits, including a retinoic acid response element, the silencer has a binding motif for GATA factors, and the proximal promoter contains adjacent and competing AP-2 and Sp binding sites.