Publications by authors named "Kazuki Kumada"

Background: The development and clinical success of KRAS inhibitors was a landmark achievement in anti-cancer drug development, as oncogenic KRAS had long been considered an intractable therapeutic target. Patients with KRAS mutant lung cancers frequently present with co-mutations in the KEAP1-NRF2 pathway, and because genetic activation of NRF2 results in resistance to all current anti-cancer therapies, we were motivated to explore how aberrant activation of NRF2 impacts the clinical response to KRAS inhibitors.

Methods: A broad range of techniques, including genetic knockouts, scRNA-seq and surface plasmon resonance, were used to determine the effect of KRAS drugs on NRF2.

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Background: No previous studies have explored metabolites associated with both genetic predispositions to type 2 diabetes (T2DM) and T2DM onset. Therefore, we aimed to explore metabolic profiles using genetic risk to identify pathways for tailored T2DM prevention strategies.

Methods: This prospective community-based cohort study in Japan included a total of 12,461 participants aged ≥ 20 years.

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von Willebrand disease (VWD) is a common inherited bleeding disorder. The aim of this study was to determine the predicted disease states associated with various pathogenic von Willebrand factor (VWF) variants and their phenotypes using the largest Japanese whole-genome database. Of the 5857 gene variants registered in the Japanese Multi-Omics Reference Panel (jMorp), variants with the following criteria were extracted: (1) caused protein abnormalities due to genetic alterations; (2) have already been detected and included in a database, including known association with VWD; and (3) highly likely pathogenic by in silico analysis.

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Purpose: This study was conducted to elucidate the distribution and determinants of ocular biometric parameters and to assess the association between intraocular pressure (IOP) and single nucleotide polymorphisms (SNPs) in the Japanese population-based genome cohort studies.

Design: Cross-sectional analysis involving genome-wide association studies (GWASs).

Participants: In total, 22 150 participants aged >18 years from the population cohort (Community-Based Cohort [CommCohort]) and 11 302 participants from the Birth and Three-Generation (BirThree) Cohort of the Tohoku Medical Megabank Organization Eye Study were examined.

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Background: A method for predicting ulcerative colitis (UC) onset has not been established. Serum autoantibodies have been suggested as potential predictive biomarkers for UC onset. We aimed to validate the risks associated with serological and environmental factors and construct a model for predicting UC development.

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Objectives: Adiposity rebound (AR) corresponds to the start of the second rise in the body mass index curve during infant growth. Early AR (before age 5) confers increased risk of adiposity and metabolic disorders but is less likely to occur in breastfed infants. Although lipids in breast milk are important in child growth, information is limited regarding which lipids are involved in AR.

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Background: Adiposity rebound (AR) is the point when the BMI begins to rise again during early childhood. Early AR (before age 5) is associated with higher risk of lifelong obesity and metabolic disorders and may be influenced by breastfeeding. Although human milk oligosaccharides (HMOs) in breast milk are crucial for child growth, their association with AR status has not been studied.

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Large-scale population cohort studies that collect genomic information are tasked with returning an assessment of genetic risk for hereditary cancers to participants. While several studies have applied to return identified genetic risks to participants, comprehensive surveys of participants' understanding, feelings, and behaviors toward cancer risk remain to be conducted. Here, we report our experience and surveys of returning genetic risks to 100 carriers of pathogenic variants for hereditary cancers identified through whole genome sequencing of 50 000 individuals from the Tohoku Medical Megabank project, a population cohort study.

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The gastrointestinal (GI) tract harbors trillions of microorganisms known to influence human health and disease, and next-generation sequencing (NGS) now enables the in-depth analysis of their diversity and functions. Although a significant amount of research has been conducted on the GI microbiome, comprehensive metagenomic datasets covering the entire tract are scarce due to cost and technical challenges. Despite the widespread use of fecal samples, integrated datasets encompassing the entire digestive process, beginning at the mouth and ending with feces, are lacking.

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Understanding the physiological changes associated with aging and the associated disease risks is essential to establish biomarkers as indicators of biological aging. This study used the NMR-measured plasma metabolome to calculate age-specific metabolite indices. In doing so, the scope of the study was deliberately simplified to capture general trends and insights into age-related changes in metabolic patterns.

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Background: Measurement of fractional exhaled nitric oxide (Feno) has been used in the diagnosis and management of asthma. Understanding the distribution of Feno in a larger resident population and its "healthy" subpopulation would contribute to the interpretation of Feno in clinical practice.

Objective: This study aimed to investigate the distribution and its associated factors in the adult population and its healthy subpopulations.

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Article Synopsis
  • The study aimed to profile participants from Miyagi Prefecture during the second phase of the Tohoku Medical Megabank Community-Based Cohort Study, focusing on their characteristics based on their initial survey participation types.
  • Conducted between June 2017 and March 2021, the survey involved questionnaire data as well as blood, urine, and physiological tests, with three participation types identified in the baseline survey.
  • Results showed a 57.7% participation rate, with an 80% participation rate among those visiting community support centers, revealing similar traits among Type 1 and Type 2 respondents, ultimately aiding in understanding the long-term health impacts of disasters.
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  • Whole blood transcriptome analysis offers valuable insights for medical research, primarily due to easy sample collection and the detailed information it provides about gene expression influenced by factors like age and gender.
  • A study was conducted on 576 participants from the Tohoku Medical Megabank, stratifying by age (20-30s and 60-70s) and gender, including pregnant women, to analyze RNA sequencing data and investigate gene expression differences.
  • Findings revealed associations between gene expression and age/gender differences, as well as the impact of immune response status (neutrophil-to-lymphocyte ratio) on gene diversity, resulting in a significant data set for future research in the Japanese population.
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  • The Tsuruoka Metabolomics Cohort Study (TMCS) is a large-scale, ongoing research project in rural Japan aiming to improve disease prevention strategies for complex illnesses by analyzing risk factors and predictors.
  • The study includes 11,002 participants aged 35-74 from Tsuruoka City, who provide extensive health and lifestyle data and undergo molecular profiling to identify potential disease-linked biomarkers.
  • TMCS focuses on outcomes related to cardiovascular diseases, cancer, and aging effects, utilizing a multi-omics approach to capture comprehensive biological, behavioral, and social data, and boasts a high participation rate and robust study design.
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With the number of samples increasing in many biobanks, one of the most pressing tasks is recording the correct relationships between information and the specimens. Genomic information is useful in determining the identity of these specimens. The Tohoku Medical Megabank Organization is running one of the largest biobanks in Japan.

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  • The Tohoku Medical Megabank Brain MRI Study aimed to assess the cognitive function and mental health of residents affected by the Great East Japan Earthquake and tsunami through neuroimaging and psychological evaluations.
  • Participants were recruited starting in July 2014, with a total of 12,164 individuals involved in the baseline survey, utilizing various MRI techniques and questionnaires to gather comprehensive data.
  • The study emphasizes personalized healthcare advancements in mental health and is currently conducting its first follow-up survey after establishing a substantial database of neuroimaging and psychological assessment data.
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Accurate chromosome segregation requires timely activation of separase, a protease that cleaves cohesin during the metaphase-to-anaphase transition. However, the mechanism that maintains the inactivity of separase prior to this event remains unclear. We provide evidence that separase autocleavage plays an essential role in this process.

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  • IBD patients have lower immunity levels against certain viruses (measles, rubella, mumps, varicella) compared to healthy control subjects, indicating a potential risk when starting immunosuppressive therapy.
  • The study included 437 IBD patients (with ulcerative colitis and Crohn's disease) and 225 healthy individuals, finding significant differences in seropositivity, particularly for patients with ulcerative colitis.
  • Screening for immunity to these viruses in IBD patients is recommended before they begin immunosuppressive treatment to prevent potential complications.
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  • Long-read sequencing technology enhances the analysis of structural variants (SVs), but requires high-quality genomic DNA for large-scale population studies.
  • The study utilized activated T lymphocytes from a biobank to collect high-molecular-weight genomic DNA and sequenced samples from 333 individuals across 111 family trios, uncovering 74,201 SVs.
  • Results indicated that over 95% of the identified SVs followed Mendelian inheritance patterns and associated with specific clinical traits, providing valuable data for exploring genetics in the Japanese population.
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To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called "dbTMM" that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study.

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Epithelial ovarian cancer (EOC) is a fatal gynecologic cancer, and its poor prognosis is mainly due to delayed diagnosis. Therefore, biomarker identification and prognosis prediction are crucial in EOC. Altered cell metabolism is a characteristic feature of cancers, and metabolomics reflects an individual's current phenotype.

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Ethnic-specific SNP arrays are becoming more important to increase the power of genome-wide association studies in diverse population. In the Tohoku Medical Megabank Project, we have been developing a series of Japonica Arrays (JPA) for genotyping participants based on reference panels constructed from whole-genome sequence data of the Japanese population. Here, we designed a novel version of the SNP array for the Japanese population, called Japonica Array NEO (JPA NEO), comprising a total of 666,883 markers.

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The mitogen-activated protein kinase (MAPK) pathway plays an important role in the colorectal cancer (CRC) progression, being supposed to be activated by the gene mutations, such as BRAF or KRAS. Although the inhibitors of extracellular signal-regulated kinase (ERK) have demonstrated efficacy in the cells with the BRAF or KRAS mutations, a clinical response is not always associated with the molecular signature. The patient-derived organoids (PDO) have emerged as a powerful in vitro model system to study cancer, and it has been widely applied for the drug screening.

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Identification of the population frequencies of definitely pathogenic germline variants in two major hereditary breast and ovarian cancer syndrome (HBOC) genes, BRCA1/2, is essential to estimate the number of HBOC patients. In addition, the identification of moderately penetrant HBOC gene variants that contribute to increasing the risk of breast and ovarian cancers in a population is critical to establish personalized health care. A prospective cohort subjected to genome analysis can provide both sets of information.

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