Characterization of Oncorhynchus mykiss 5-hydroxyisourate hydrolase/transthyretin superfamily: Evolutionary and functional analyses

Teleosts have highly diverged genomes that resulted from whole genome duplication, which leads to an extensive diversity of paralogous genes. Transthyretin (TTR), an extracellular thyroid hormone (TH) binding protein, is thought to have evolved from an ancestral 5-hydroxyisourate hydrolase (HIUHase) by gene duplication at some stage of chordate evolution. To characterize the functions of proteins that arose from duplicated genes in teleosts, we investigated the phylogenetic relationship of teleost HIUHase and TTR aa sequences, the expression levels of Oncorhynchus mykiss HIUHase and TTR mRNA in various tissues and the biological activities of the O. mykiss re-HIUHase and re-TTR. Phylogenetic analysis of the teleost aa sequences revealed the presence of two HIUHase subfamilies, HIUHase 1 (which has an N-terminal peroxisomal targeting signal-2 [PTS2]) and HIUHase 2 (which does not have an N-terminal PTS2), and one TTR family. The tissue distributions of HIUHase 1 and TTR mRNA were similar in juvenile O. mykiss and the mRNA levels were highest in the liver. The O. mykiss re-HIUHase and re-TTR proteins were both 40–50 kDa homotetramers consisting of 14–15 kDa subunits, with 30% identity. HIUHase had 5-hydroxyisourate (5-HIU) hydrolysis activity with Zn^2 + sensitivity, whereas TTR had ligand binding activity with a preference for THs and several environmental chemicals, such as halogenated phenols. Our results suggest that O. mykiss HIUHase and TTR have diverged from a common ancestral HIHUase with no functional complementation.     

Vimentin binds IRAP and is involved in GLUT4 vesicle trafficking

Cysteine-rich protein 2 (CRP2) is a cofactor for smooth muscle cell (SMC) differentiation. Here, we examined the mechanism of CRP2 distribution dynamics during SMC differentiation. CRP2 protein directly associated with F-actin through its N-terminal LIM domain and Gly-rich region, as determined by ELISA. In undifferentiated cells that contain few actin stress fibers, CRP2 was broadly distributed throughout the whole cell, including the nucleus. After induction of SMC differentiation, CRP2 localized to actin stress fibers as they formed. The stress fiber-localized CRP2 entered the nucleus because of induced actin depolymerization. These CRP2 dynamics were reproduced by in silico simulation. CRP2 localization dynamics, which affect CRP2 function, are regulated by the formation of actin stress fibers in conjunction with SMC differentiation.     

Phylogeography of silver‐studded blue,Plebejus subsolanus (Lepidoptera: Lycaenidae), in the central mountainous regions of Japan

The silver‐studded blue, Plebejus subsolanus, is widely distributed in the Russian Altai mountains, northeastern China, the Korean Peninsula, and the Japanese archipelago. In Japan, the species is distributed across wide elevation ranges from the lowlands of Hokkaido to the subalpine zone of Honshu. Current subspecies classification in Japan is as follows: ssp. iburiensis, occurring in lowland grasslands in Hokkaido; ssp. yaginus in lower mountain grasslands in Honshu; and ssp. yarigadakeanus in higher mountain grasslands in Honshu. The habitat of this species has been markedly reduced due to recent habitat destruction and land‐use changes. Here, we undertook phylogeographic analyses of two subspecies, ssp. yaginus and yarigadakeanus in the central mountainous regions of Japan, based on two mitochondrial gene sequences, in order to collect information for establishing effective conservation strategies. From 57 samples from the four mountain ranges, we obtained a haplotype network comprised of 12 haplotypes. Because of the haplotype network topology, the geographic distribution of haplotypes and the correspondence of haplotype divergence to subspecies taxonomy, we provisionally divided the haplotypes into three haplogroups: YR1 and YR2, which comprised ssp. yarigadakeanus, and YG, which comprised ssp. yaginus. Mitochondrial DNA genetic differentiation generally agreed with morphological subspecies classification. The haplotype network suggested that ssp. yarigadakeanus populations had multiple origins, and the subspecies character of “bright blue of the male's wings” was assumed to have evolved independently in each subalpine meadow. We found that P. subsolanus was genetically differentiated depending upon the elevation at each mountain region, suggesting that each haplogroup should be a conservation unit.     

Chronic Academic Stress Increases a Group of microRNAs in Peripheral Blood

MicroRNAs (miRNAs) play key roles in regulation of cellular processes in response to changes in environment. In this study, we examined alterations in miRNA profiles in peripheral blood from 25 male medical students two months and two days before the National Examination for Medical Practitioners. Blood obtained one month after the examination were used as baseline controls. Levels of seven miRNAs (miR-16, -20b, -26b, -29a, -126, -144 and -144*) were significantly elevated during the pre-examination period in association with significant down-regulation of their target mRNAs (WNT4, CCM2, MAK, and FGFR1 mRNAs) two days before the examination. State anxiety assessed two months before the examination was positively and negatively correlated with miR-16 and its target WNT4 mRNA levels, respectively. Fold changes in miR-16 levels from two days before to one month after the examination were inversely correlated with those in WNT4 mRNA levels over the same time points. We also confirmed the interaction between miR-16 and WNT4 3′UTR in HEK293T cells overexpressing FLAG-tagged WNT4 3′UTR and miR-16. Thus, a distinct group of miRNAs in periheral blood may participate in the integrated response to chronic academic stress in healthy young men.     

Impaired KLHL3-Mediated Ubiquitination of WNK4 Causes Human Hypertension

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Highlights? WNK4 kinase is a substrate of KLHL3-Cullin3-targeted ubiquitination ? PHAII-causing mutations of WNK4, KLHL3, and Cullin3 decrease WNK4 ubiquitination ? Impaired WNK4 ubiquitination activates the OSR1/SPAK-NCC axis and causes hypertension     

Dynamic visco-elastic buckling analysis of an in vitro airway model: prediction of circumferential and axial buckling mode numbers

The purpose of the research reported here was to elucidate the mechanism of formation of the various lobes observed in asthmatic airways by both theoretical and experimental analysis employing an in vitro airway model. The rationale is that the elucidated mechanism will facilitate the development of new diagnostic methods and treatment regimens for asthma. Lobe formation was analyzed on the basis of an assumption of cross-sectional buckling of the airway. Here, we propose a dynamic visco-elastic buckling model analysis of the airway for the prediction of circumferential and axial buckling mode numbers. The calculated circumferential buckling mode numbers were in reasonably good agreement with those measured in the dynamic buckling experiment using the in vitro airway model. The calculated axial buckling mode numbers were in qualitative agreement with those observed in the experiment. The non-dimensional parameters related to the remodeling and the consequent pathologies occurring in asthmatic airways were also shown, and the influence of changes in the non-dimensional parameters on the circumferential and axial buckling mode numbers was also calculated. The circumferential and axial buckling mode numbers decreased due to thickening and stiffening of the basement membrane. Thickening of the tissues surrounding the basement membrane and the increase in the mucus secreted in the airway lumen were modeled as an increase in the added mass on the basement membrane. The results of calculation showed that the circumferential and axial buckling mode numbers increased because of the thickening of the surrounding tissues and the increase in mucus secretion. We suggest that it may be possible to diagnose the severity of asthma by using the results of the calculation of the changes in the buckling mode numbers caused by the changes in the strength of the remodeling. The physiological reality of the in vitro airway model reported here is discussed using the non-dimensional parameters.     

Association between Plasma Neutrophil Gelatinase Associated Lipocalin Level and Obstructive Sleep Apnea or Nocturnal Intermittent Hypoxia

Background

Both obstructive sleep apnea (OSA) and a novel lipocalin, neutrophil gelatinase associated lipocalin (Ngal), have been reported to be closely linked with cardiovascular disease and loss of kidney function through chronic inflammation. However, the relationship between OSA and Ngal has never been investigated.

Objectives

To evaluate the relationship between Ngal and OSA in clinical practice.

Methods

In 102 patients, polysomnography was performed to diagnose OSA and plasma Ngal levels were measured. The correlations between Ngal levels and OSA severity and other clinical variables were evaluated. Of the 46 patients who began treatment with continuous positive airway pressure (CPAP), Ngal levels were reevaluated after three months of treatment in 25 patients.

Results

The Ngal level correlated significantly with OSA severity as determined by the apnea hypopnea index (r = 0.24, p = 0.01) and 4% oxygen desaturation index (ODI) (r = 0.26, p = 0.01). Multiple regression analysis showed that the Ngal level was associated with 4%ODI independently of other clinical variables. Compliance was good in 13 of the 25 patients who used CPAP. Although the OSA (4%ODI: 33.1±16.7 to 1.1±1.9/h, p<0.01) had significantly improved in those with good compliance, the Ngal levels were not significantly changed (60.5±18.1 before CPAP vs 64.2±13.9 ng/ml after CPAP, p = 0.27).

Conclusions

Plasma Ngal levels were positively associated with the severity of OSA. However, the contribution rate of OSA to systemic Ngal secretion was small and changes in Ngal levels appeared to be influenced largely by other confounding factors. Therefore, it does not seem reasonable to use the Ngal level as a specific biomarker of OSA in clinical practice.