Publications by authors named "Masayuki Yamane"

The utility of environmental RNA (eRNA) in capturing biological responses to stresses has been discussed previously; however, the limited number of genes detected remains a significant hindrance to its widespread implementation. Here, we investigated the potential of eRNA to assess the health status of Japanese medaka fish exposed to linear alkylbenzene sulfonate. Analyzing eRNA and organismal RNA (oRNA) in aquarium water within 12 h, we achieved high mapping rates and 10 times more differentially expressed genes than previously reported.

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  • - Coral reefs are endangered by bleaching from environmental factors like global warming and pollutants, particularly from UV filters in sunscreens, highlighting the need for better risk assessments of these chemicals.
  • - This study focused on the effects of benzophenone-3 (BP-3), a common sunscreen ingredient, on the coral species Acropora tenuis, revealing an LC50 of 3.9 mg/L, indicating a low risk from BP-3 to corals in the environment.
  • - The research employed RNA sequencing to compare gene expression changes caused by BP-3 and heat stress, finding distinct responses, which could help in developing strategies to protect corals from stressors.
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Assessing the concentrations of various chemicals in river water is critical for ensuring global environmental sustainability. There is an increasing need to assess water risks in southeast Asia due to the increasing chemical pollution associated with the rapid economic growth and abnormal weather. Although AIST-SHANEL, a model for analyzing chemical concentrations in river water based on the characteristics of individual rivers and meteorological conditions, is useful for assessing the water risks, this model currently only applies to Japanese rivers due to the lack of global data.

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Craniofacial anomalies are one of the most frequent birth defects worldwide and are often caused by genetic and environmental factors such as pharmaceuticals and chemical agents. Although identifying adverse outcome pathways (AOPs) is a central issue for evaluating the teratogenicity, the AOP causing craniofacial anomalies has not been identified. Recently, zebrafish has gained interest as an emerging model for predicting teratogenicity because of high throughput, cost-effectiveness and availability of various tools for examining teratogenic mechanisms.

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Environmental DNA (eDNA) metabarcoding is widely used for species analysis, while the use of environmental RNA (eRNA) metabarcoding is more limited. We conducted comparative eDNA/eRNA metabarcoding of the algae and arthropods (aquatic insects) in water samples from Naka River, Japan, to evaluate their potential for biological monitoring and water quality assessment. Both methods detected various algae and arthropod species; however, their compositions were remarkably different from those in traditional field surveys (TFSs), indicating low sensitivity.

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Physiologically based pharmacokinetic (PBPK) models are considered useful tools in animal-free risk assessment. To utilize PBPK models for risk assessment, it is necessary to compare their reliability with in vivo data. However, obtaining in vivo pharmacokinetics data for cosmetic ingredients is difficult, complicating the utilization of PBPK models for risk assessment.

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Chemical structure-based read-across represents a promising method for chemical toxicity evaluation without the need for animal testing; however, a chemical structure is not necessarily related to toxicity. Therefore, studies were often used for read-across reliability refinement; however, their external validity has been hindered by the gap between and conditions. Thus, we developed a virtual DNA microarray, regression analysis-based inductive DNA microarray (RAID), which quantitatively predicts gene expression profiles based on the chemical structure and/or transcriptome data.

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Epigallocatechin-3-gallate (EGCG), a major green tea polyphenol, has beneficial effects on human health. This study aimed to elucidate the detailed EGCG sulfation process to better understand its phase II metabolism, a process required to maximize its health benefits. Results show that kinetic activity of sulfation in the human liver and intestinal cytosol is 2-fold and 60- to 300-fold higher than that of methylation and glucuronidation, respectively, suggesting sulfation as the key metabolic pathway.

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Read-across based on structural and biological similarities is expected to be a promising alternative method for assessing systemic toxicity. A concrete strategy for quantitative chemical risk assessment would be to stack read-across case studies and extract key considerations from them. Thus, we developed a read-across case study by comparing the toxicological effects based on adverse outcome pathways and exposure levels of different structurally similar chemicals for a target organ.

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Error-corrected sequences (ECSs) that utilize double-stranded DNA sequences are useful in detecting mutagen-induced mutations. However, relatively higher frequencies of G:C > T:A (1 × 10 bp) and G:C > C:G (2 × 10 bp) errors decrease the accuracy of detection of rare G:C mutations (approximately 10 bp). Oxidized guanines in single-strand (SS) overhangs generated after shearing could serve as the source of these errors.

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Background: Febrile urinary tract infection (fUTI) is a common bacterial infection among children. This study investigated the risk factors for fUTI caused by cefazolin-resistant bacteria in children.

Methods: The medical records of patients with fUTI hospitalized between April 2014 and March 2020 were retrospectively analyzed.

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Recently, a new sustainable anionic surfactant called bio-based internal olefin sulfonate (Bio IOS) has been developed. This surfactant enables excellent water solubility and high surface activity. It has a unique structure of long hydrophobic alkyl chains (C16 to C18) with two types of hydrophilic groups in its midsection, which distinguish it from other conventional anionic surfactants.

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In silico models for predicting chemical-induced side effects have become increasingly important for the development of pharmaceuticals and functional food products. However, existing predictive models have difficulty in estimating the mechanisms of side effects in terms of molecular targets or they do not cover the wide range of pharmacological targets. In the present study, we constructed novel in silico models to predict chemical-induced side effects and estimate the underlying mechanisms with high general versatility by integrating the comprehensive prediction of potential chemical-protein interactions (CPIs) with machine learning.

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Although coffee components have gained interest for use as pharmaceuticals, little is known about their safety pharmacological effects. Hence, we aimed to evaluate the safety pharmacological effects of a chlorogenic acid (CGA)-related compound contained in coffee, 5--caffeoylquinic acid (5-CQA), and its metabolites, 5--feruloylquinic acid (5-FQA), caffeic acid (CA), and ferulic acid (FA). Langendorff perfused heart assay, electrophysiological assay of acute rat hippocampal slices, and in vitro Magnus assay of gastrointestinal tracts were conducted at 1-100 µM.

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Strategies for deriving predicted environmental concentrations (PECs) using environmental exposure models have become increasingly important in the environmental risk assessment of chemical substances. However, many strategies are not fully developed owing to uncertainties in the derivation of PECs across spatially extensive areas. Here, we used 3-year environmental monitoring data (river: 11 702 points; lake: 1867 points; sea: 12 points) on linear alkylbenzene sulfonate (LAS) in Japan to evaluate the ability of the National Institute of Advanced Industrial Science and Technology (AIST)-Standardized Hydrology-Based Assessment Tool for the Chemical Exposure Load (SHANEL) model developed to predict chemical concentrations in major Japanese rivers.

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Genotoxicity evaluation has been widely used to estimate the carcinogenicity of test substances during safety evaluation. However, the latest strategies using genotoxicity tests give more weight to sensitivity; therefore, their accuracy has been very low. For precise carcinogenicity evaluation, we attempted to establish an integrated testing strategy for the tailor-made carcinogenicity evaluation of test materials, considering the relationships among genotoxicity test results (Ames, in vitro mammalian genotoxicity and in vivo micronucleus), carcinogenicity test results and chemical properties (molecular weight, logKow and 179 organic functional groups).

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Trinucleotide mutational signatures extracted from cancer genomes provide clues useful in understanding the roles of mutagens and mutagenic mechanisms in cancer development. The lack of a simple method for genome-wide analysis of alterations induced by mutagens hampers the identification of trinucleotide signatures of mutagen exposure and evaluation of their relationships with human cancers. Here, we describe a novel approach to facilitate analysis of chemically induced mutations in bacterial cells by detection of increased frequencies of base substitutions after mutagen exposure, using paired-end overlapping next-generation sequencing.

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Article Synopsis
  • Asymmetric ventriculomegaly, commonly seen in very low birth weight infants on MRI, is linked to white matter injury, but no standard evaluation for ventricular size asymmetry exists.
  • In a study of 294 VLBWI, researchers developed a lateral ventricular index (LVI) to assess the discrepancy in ventricular sizes and explored its connection to walking ability at 18 months.
  • Results showed that a higher LVI was found in non-walking infants, with an LVI cutoff of 21.5 indicating a risk for walking disabilities, highlighting its potential role in predicting developmental outcomes.
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  • Sema3A is an axon guidance molecule that influences how neurons wire themselves by interacting with neuropilin-1 and PlexinA receptors.* -
  • It promotes dendritic branching through a process involving retrograde axonal transport, which is sensitive to tetrodotoxin (TTX) and requires the sodium channel Na1.7 and collapsin response mediator protein 1 (CRMP1).* -
  • In experiments with mouse dorsal root ganglion (DRG) neurons, Sema3A increased the presence of specific proteins (PlexA4 and TrkA) in growth cones and axons, but TTX and RNAi knockdowns of Na1.7 hindered this process.*
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Semaphorin 3A (Sema3A), a secretory semaphorin, exerts various biological actions through a complex between neuropilin-1 and plexin-As (PlexAs). Sema3A induces retrograde signaling, which is involved in regulating dendritic localization of GluA2 (also known as GRIA2), an AMPA receptor subunit. Here, we investigated a possible interaction between retrograde signaling pathways for Sema3A and nerve growth factor (NGF).

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Linear alkylbenzene sulfonate (LAS) is an anionic surfactant commonly used in cleaning agents such as laundry detergents. Trace amounts of LAS are released into environmental waters after processing in wastewater treatment plants after the use of this chemical. Acute toxicity of LAS has been well-studied using various organisms, and its effects are particularly well known in fish.

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Aim: To assess the efficacy of topical Semaphorin-3A (SEMA3A) in the treatment of allergic conjunctivitis.

Methods: Experimental allergic conjunctivitis (EAC) mice model induced by short ragweed pollen (SRW) in 4-week-old of BALB/c mice, mice were evaluated using haematoxylin and eosin (H&E) staining, immunofluorescence and light microscope photographs. Early phase took the samples in 24h after instillation and late phase took the samples between 4 to 14d after the start of treatment.

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Objective: To determine whether dried umbilical cords (UCs) are useful for retrospective diagnosis of intrauterine enterovirus (EV) infection.

Methods: Dried UCs in two patients with neonatal EV sepsis and 10 neonates without infectious signs were enrolled. Viral RNA was extracted from their dried UCs, and nested reverse transcription polymerase chain reaction (RT-PCR) was performed.

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