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  1. Zulkefeli M, Hisamatsu Y, Suzuki A, Miyazawa Y, Shiro M, Aoki S
    Chem Asian J, 2014 Oct;9(10):2831-41.
    PMID: 25080369 DOI: 10.1002/asia.201402513
    In our previous paper, we reported that a dimeric Zn(2+) complex with a 2,2'-bipyridyl linker (Zn2L(1)), cyanuric acid (CA), and a Cu(2+) ion automatically assemble in aqueous solution to form 4:4:4 complex 3, which selectively catalyzes the hydrolysis of mono(4-nitrophenyl)phosphate (MNP) at neutral pH. Herein, we report that the use of barbital (Bar) instead of CA for the self-assembly with Zn2L(1) and Cu(2+) induces 2:2:2 complexation of these components, and not the 4:4:4 complex, to form supramolecular complex 6 a, the structure and equilibrium characteristics of which were studied by analytical and physical measurements. The finding show that 6 a also accelerates the hydrolysis of MNP, similarly to 3. Moreover, inspired by the crystal structure of 6 a, we prepared barbital units that contain functional groups on their side chains in an attempt to produce supramolecular phosphatases that possess functional groups near the Cu2(μ-OH)2 catalytic core so as to mimic the catalytic center of alkaline phosphatase (AP).
  2. Furuse Y, Suzuki A, Kishi M, Galang HO, Lupisan SP, Olveda RM, et al.
    J Med Virol, 2010 May;82(6):1071-4.
    PMID: 20419824 DOI: 10.1002/jmv.21763
    Several novel viruses have been recently identified in respiratory samples. However, the epidemiology of these viruses in tropical countries remains unclear. The aim of the present study was to provide an overview of the epidemiology of novel respiratory viruses, including human metapneumovirus, human bocavirus, new subtypes of human coronavirus (NL63 and HKU1), KI virus, WU virus, and Melaka virus in the Philippines, a tropical country. Nasopharyngeal aspirates from 465 patients with influenza-like illness were collected in 2006 and 2007. Reverse transcription polymerase chain reaction (RT-PCR) and PCR were performed to detect viruses from culture-negative specimens. Human metapneumovirus, human bocavirus, human coronavirus HKU1, KI virus, and WU virus were detected for the first time in the Philippines; Melaka virus was not found.
  3. Molineros JE, Yang W, Zhou XJ, Sun C, Okada Y, Zhang H, et al.
    Hum Mol Genet, 2017 03 15;26(6):1205-1216.
    PMID: 28108556 DOI: 10.1093/hmg/ddx026
    We recently identified ten novel SLE susceptibility loci in Asians and uncovered several additional suggestive loci requiring further validation. This study aimed to replicate five of these suggestive loci in a Han Chinese cohort from Hong Kong, followed by meta-analysis (11,656 cases and 23,968 controls) on previously reported Asian and European populations, and to perform bioinformatic analyses on all 82 reported SLE loci to identify shared regulatory signatures. We performed a battery of analyses for these five loci, as well as joint analyses on all 82 SLE loci. All five loci passed genome-wide significance: MYNN (rs10936599, Pmeta = 1.92 × 10-13, OR = 1.14), ATG16L2 (rs11235604, Pmeta = 8.87 × 10 -12, OR = 0.78), CCL22 (rs223881, Pmeta = 5.87 × 10-16, OR = 0.87), ANKS1A (rs2762340, Pmeta = 4.93 × 10-15, OR = 0.87) and RNASEH2C (rs1308020, Pmeta = 2.96 × 10-19, OR = 0.84) and co-located with annotated gene regulatory elements. The novel loci share genetic signatures with other reported SLE loci, including effects on gene expression, transcription factor binding, and epigenetic characteristics. Most (56%) of the correlated (r2 > 0.8) SNPs from the 82 SLE loci were implicated in differential expression (9.81 × 10-198 
  4. Chandran M, Mitchell PJ, Amphansap T, Bhadada SK, Chadha M, Chan DC, et al.
    Osteoporos Int, 2021 Jul;32(7):1249-1275.
    PMID: 33502559 DOI: 10.1007/s00198-020-05742-0
    Guidelines for doctors managing osteoporosis in the Asia-Pacific region vary widely. We compared 18 guidelines for similarities and differences in five key areas. We then used a structured consensus process to develop clinical standards of care for the diagnosis and management of osteoporosis and for improving the quality of care.

    PURPOSE: Minimum clinical standards for assessment and management of osteoporosis are needed in the Asia-Pacific (AP) region to inform clinical practice guidelines (CPGs) and to improve osteoporosis care. We present the framework of these clinical standards and describe its development.

    METHODS: We conducted a structured comparative analysis of existing CPGs in the AP region using a "5IQ" model (identification, investigation, information, intervention, integration, and quality). One-hundred data elements were extracted from each guideline. We then employed a four-round Delphi consensus process to structure the framework, identify key components of guidance, and develop clinical care standards.

    RESULTS: Eighteen guidelines were included. The 5IQ analysis demonstrated marked heterogeneity, notably in guidance on risk factors, the use of biochemical markers, self-care information for patients, indications for osteoporosis treatment, use of fracture risk assessment tools, and protocols for monitoring treatment. There was minimal guidance on long-term management plans or on strategies and systems for clinical quality improvement. Twenty-nine APCO members participated in the Delphi process, resulting in consensus on 16 clinical standards, with levels of attainment defined for those on identification and investigation of fragility fractures, vertebral fracture assessment, and inclusion of quality metrics in guidelines.

    CONCLUSION: The 5IQ analysis confirmed previous anecdotal observations of marked heterogeneity of osteoporosis clinical guidelines in the AP region. The Framework provides practical, clear, and feasible recommendations for osteoporosis care and can be adapted for use in other such vastly diverse regions. Implementation of the standards is expected to significantly lessen the global burden of osteoporosis.

  5. Chan DD, Chang LY, Akesson KE, Mitchell P, Chen CH, Lewiecki EM, et al.
    Arch Osteoporos, 2018 05 12;13(1):59.
    PMID: 29754189 DOI: 10.1007/s11657-018-0463-3
    The Fracture Liaison Service (FLS) Consensus Meeting endorsed by the International Osteoporosis Foundation (IOF), Asian Federation of Osteoporosis Societies (AFOS), and Asia Pacific Osteoporosis Foundation (APOF) was hosted by the Taiwanese Osteoporosis Association on October 14, 2017. International and domestic experts reviewed the 13 Best Practice Framework (BPF) standards and concluded that all standards were generally applicable in the Asia-Pacific region and needed only minor modifications to fit the healthcare settings in the region.

    PURPOSE: To review and generate consensus on best practices of fracture liaison service (FLS) in the Asia-Pacific (AP) region.

    METHODS: In October 2017, the Taiwanese Osteoporosis Association (TOA) invited experts from the AP region (n = 23), the Capture the Fracture Steering Committee (n = 2), and the USA (n = 1) to join the AP region FLS Consensus Meeting in Taipei. After two rounds of consensus generation, the recommendations on the 13 Best Practice Framework (BPF) standards were reported and reviewed by the attendees. Experts unable to attend the on-site meeting reviewed the draft, made suggestions, and approved the final version.

    RESULTS: Because the number of FLSs in the region is rapidly increasing, experts agreed that it was timely to establish consensus on benchmark quality standards for FLSs in the region. They also agreed that the 13 BPF standards and the 3 levels of standards were generally applicable, but that some clarifications were necessary. They suggested, for example, that patient and family education be incorporated into the current standards and that communication with the public to promote FLSs be increased.

    CONCLUSIONS: The consensus on the 13 BPF standards reviewed in this meeting was that they were generally applicable and required only a few advanced clarifications to increase the quality of FLSs in the region.

  6. Chan DD, Chang LY, Akesson KE, Mitchell P, Chen CH, Lewiecki EM, et al.
    Arch Osteoporos, 2018 07 03;13(1):73.
    PMID: 29971507 DOI: 10.1007/s11657-018-0485-x
    In this article the name of the sixth author, E. Michael Lewiecki was rendered incorrectly. The publisher regrets this error and apologizes for the inconvenience caused.
  7. Sun C, Molineros JE, Looger LL, Zhou XJ, Kim K, Okada Y, et al.
    Nat Genet, 2016 Mar;48(3):323-30.
    PMID: 26808113 DOI: 10.1038/ng.3496
    Systemic lupus erythematosus (SLE) has a strong but incompletely understood genetic architecture. We conducted an association study with replication in 4,478 SLE cases and 12,656 controls from six East Asian cohorts to identify new SLE susceptibility loci and better localize known loci. We identified ten new loci and confirmed 20 known loci with genome-wide significance. Among the new loci, the most significant locus was GTF2IRD1-GTF2I at 7q11.23 (rs73366469, Pmeta = 3.75 × 10(-117), odds ratio (OR) = 2.38), followed by DEF6, IL12B, TCF7, TERT, CD226, PCNXL3, RASGRP1, SYNGR1 and SIGLEC6. We identified the most likely functional variants at each locus by analyzing epigenetic marks and gene expression data. Ten candidate variants are known to alter gene expression in cis or in trans. Enrichment analysis highlights the importance of these loci in B cell and T cell biology. The new loci, together with previously known loci, increase the explained heritability of SLE to 24%. The new loci share functional and ontological characteristics with previously reported loci and are possible drug targets for SLE therapeutics.
  8. Molineros JE, Looger LL, Kim K, Okada Y, Terao C, Sun C, et al.
    PLoS Genet, 2019 04;15(4):e1008092.
    PMID: 31022184 DOI: 10.1371/journal.pgen.1008092
    Human leukocyte antigen (HLA) is a key genetic factor conferring risk of systemic lupus erythematosus (SLE), but precise independent localization of HLA effects is extremely challenging. As a result, the contribution of specific HLA alleles and amino-acid residues to the overall risk of SLE and to risk of specific autoantibodies are far from completely understood. Here, we dissected (a) overall SLE association signals across HLA, (b) HLA-peptide interaction, and (c) residue-autoantibody association. Classical alleles, SNPs, and amino-acid residues of eight HLA genes were imputed across 4,915 SLE cases and 13,513 controls from Eastern Asia. We performed association followed by conditional analysis across HLA, assessing both overall SLE risk and risk of autoantibody production. DR15 alleles HLA-DRB1*15:01 (P = 1.4x10-27, odds ratio (OR) = 1.57) and HLA-DQB1*06:02 (P = 7.4x10-23, OR = 1.55) formed the most significant haplotype (OR = 2.33). Conditioned protein-residue signals were stronger than allele signals and mapped predominantly to HLA-DRB1 residue 13 (P = 2.2x10-75) and its proxy position 11 (P = 1.1x10-67), followed by HLA-DRB1-37 (P = 4.5x10-24). After conditioning on HLA-DRB1, novel associations at HLA-A-70 (P = 1.4x10-8), HLA-DPB1-35 (P = 9.0x10-16), HLA-DQB1-37 (P = 2.7x10-14), and HLA-B-9 (P = 6.5x10-15) emerged. Together, these seven residues increased the proportion of explained heritability due to HLA to 2.6%. Risk residues for both overall disease and hallmark autoantibodies (i.e., nRNP: DRB1-11, P = 2.0x10-14; DRB1-13, P = 2.9x10-13; DRB1-30, P = 3.9x10-14) localized to the peptide-binding groove of HLA-DRB1. Enrichment for specific amino-acid characteristics in the peptide-binding groove correlated with overall SLE risk and with autoantibody presence. Risk residues were in primarily negatively charged side-chains, in contrast with rheumatoid arthritis. We identified novel SLE signals in HLA Class I loci (HLA-A, HLA-B), and localized primary Class II signals to five residues in HLA-DRB1, HLA-DPB1, and HLA-DQB1. These findings provide insights about the mechanisms by which the risk residues interact with each other to produce autoantibodies and are involved in SLE pathophysiology.
  9. Ishigaki K, Sakaue S, Terao C, Luo Y, Sonehara K, Yamaguchi K, et al.
    Nat Genet, 2022 Nov;54(11):1640-1651.
    PMID: 36333501 DOI: 10.1038/s41588-022-01213-w
    Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P 
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