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1.
Ho Namkoong; Ryuya Edahiro; Koichi Fukunaga; Yuya Shirai; Kyuto Sonehara; Hiromu Tanaka; Ho Lee; Takanori Hasegawa; Masahiro Kanai; Tatsuhiko Naito; Kenichi Yamamoto; Ryunosuke Saiki; Takayoshi Hyugaji; Eigo Shimizu; Kotoe Katayama; Kazuhisa Takahashi; Norihiro Harada; Toshio Naito; Makoto Hiki; Yasushi Matsushita; Haruhi Takagi; Ryousuke Aoki; Ai Nakamura; Sonoko Harada; Hitoshi Sasano; Hiroki Kabata; Katsunori Masaki; Hirofumi Kamata; Shinnosuke Ikemura; Shotaro Chubachi; Satoshi Okamori; Hideki Terai; Atsuho Morita; Takanori Asakura; Junichi Sasaki; Hiroshi Morisaki; Yoshifumi Uwamino; Kosaku Nanki; Yohei Mikami; Sho Uchida; Shunsuke Uno; Rino Ishihara; Yuta Matsubara; Tomoyasu Nishimura; Takanori Ogawa; Takashi Ishiguro; Taisuke Isono; Shun Shibata; Yuma Matsui; Chiaki Hosoda; Kenji Takano; Takashi Nishida; Yoichi Kobayashi; Yotaro Takaku; Noboru Takayanagi; Soichiro Ueda; Ai Tada; Masayoshi Miyawaki; Masaomi Yamamoto; Eriko Yoshida; Reina Hayashi; Tomoki Nagasaka; Sawako Arai; Yutaro Kaneko; Kana Sasaki; Etsuko Tagaya; Masatoshi Kawana; Ken Arimura; Kunihiko Takahashi; Tatsuhiko Anzai; Satoshi Ito; Akifumi Endo; Yuji Uchimura; Yasunari Miyazaki; Takayuki Honda; Tomoya Tateishi; Shuji Tohda; Naoya Ichimura; Kazunari Sonobe; Chihiro Sassa; Jun Nakajima; Yasushi Nakano; Yukiko Nakajima; Ryusuke Anan; Ryosuke Arai; Yuko Kurihara; Yuko Harada; Kazumi Nishio; Tetsuya Ueda; Masanori Azuma; Ryuichi Saito; Toshikatsu Sado; Yoshimune Miyazaki; Ryuichi Sato; Yuki Haruta; Tadao Nagasaki; Yoshinori Yasui; Yoshinori Hasegawa; Yoshikazu Mutoh; Tomonori Sato; Reoto Takei; Satoshi Hagimoto; Yoichiro Noguchi; Yasuhiko Yamano; Hajime Sasano; Sho Ota; Yasushi Nakamori; Kazuhisa Yoshiya; Fukuki Saito; Tomoyuki Yoshihara; Daiki Wada; Hiromu Iwamura; Syuji Kanayama; Shuhei Maruyama; Takashi Yoshiyama; Ken Ohta; Hiroyuki Kokuto; Hideo Ogata; Yoshiaki Tanaka; Kenichi Arakawa; Masafumi Shimoda; Takeshi Osawa; Hiroki Tateno; Isano Hase; Shuichi Yoshida; Shoji Suzuki; Miki Kawada; Hirohisa Horinouchi; Fumitake Saito; Keiko Mitamura; Masao Hagihara; Junichi Ochi; Tomoyuki Uchida; Rie Baba; Daisuke Arai; Takayuki Ogura; Hidenori Takahashi; Shigehiro Hagiwara; Genta Nagao; Shunichiro Konishi; Ichiro Nakachi; Koji Murakami; Mitsuhiro Yamada; Hisatoshi Sugiura; Hirohito Sano; Shuichiro Matsumoto; Nozomu Kimura; Yoshinao Ono; Hiroaki Baba; Yusuke Suzuki; Sohei Nakayama; Keita Masuzawa; Shinichi Namba; Ken Suzuki; Nobuyuki Hizawa; Takayuki Shiroyama; Satoru Miyawaki; Yusuke Kawamura; Akiyoshi Nakayama; Hirotaka Matsuo; Yuichi Maeda; Takuro Nii; Yoshimi Noda; Takayuki Niitsu; Yuichi Adachi; Takatoshi Enomoto; Saori Amiya; Reina Hara; Toshihiro Kishikawa; Shuhei Yamada; Shuhei Kawabata; Noriyuki Kijima; Masatoshi Takagaki; Noa Sasa; Yuya Ueno; Motoyuki Suzuki; Norihiko Takemoto; Hirotaka Eguchi; Takahito Fukusumi; Takao Imai; Munehisa Fukushima; Haruhiko Kishima; Hidenori Inohara; Kazunori Tomono; Kazuto Kato; Meiko Takahashi; Fumihiko Matsuda; Haruhiko Hirata; Yoshito Takeda; Hidefumi Koh; Tadashi Manabe; Yohei Funatsu; Fumimaro Ito; Takahiro Fukui; Keisuke Shinozuka; Sumiko Kohashi; Masatoshi Miyazaki; Tomohisa Shoko; Mitsuaki Kojima; Tomohiro Adachi; Motonao Ishikawa; Kenichiro Takahashi; Takashi Inoue; Toshiyuki Hirano; Keigo Kobayashi; Hatsuyo Takaoka; Kazuyoshi Watanabe; Naoki Miyazawa; Yasuhiro Kimura; Reiko Sado; Hideyasu Sugimoto; Akane Kamiya; Naota Kuwahara; Akiko Fujiwara; Tomohiro Matsunaga; Yoko Sato; Takenori Okada; Yoshihiro Hirai; Hidetoshi Kawashima; Atsuya Narita; Kazuki Niwa; Yoshiyuki Sekikawa; Koichi Nishi; Masaru Nishitsuji; Mayuko Tani; Junya Suzuki; Hiroki Nakatsumi; Takashi Ogura; Hideya Kitamura; Eri Hagiwara; Kota Murohashi; Hiroko Okabayashi; Takao Mochimaru; Shigenari Nukaga; Ryosuke Satomi; Yoshitaka Oyamada; Nobuaki Mori; Tomoya Baba; Yasutaka Fukui; Mitsuru Odate; Shuko Mashimo; Yasushi Makino; Kazuma Yagi; Mizuha Hashiguchi; Junko Kagyo; Tetsuya Shiomi; Satoshi Fuke; Hiroshi Saito; Tomoya Tsuchida; Shigeki Fujitani; Mumon Takita; Daiki Morikawa; Toru Yoshida; Takehiro Izumo; Minoru Inomata; Naoyuki Kuse; Nobuyasu Awano; Mari Tone; Akihiro Ito; Yoshihiko Nakamura; Kota Hoshino; Junichi Maruyama; Hiroyasu Ishikura; Tohru Takata; Toshio Odani; Masaru Amishima; Takeshi Hattori; Yasuo Shichinohe; Takashi Kagaya; Toshiyuki Kita; Kazuhide Ohta; Satoru Sakagami; Kiyoshi Koshida; Kentaro Hayashi; Tetsuo Shimizu; Yutaka Kozu; Hisato Hiranuma; Yasuhiro Gon; Namiki Izumi; Kaoru Nagata; Ken Ueda; Reiko Taki; Satoko Hanada; Kodai Kawamura; Kazuya Ichikado; Kenta Nishiyama; Hiroyuki Muranaka; Kazunori Nakamura; Naozumi Hashimoto; Keiko Wakahara; Sakamoto Koji; Norihito Omote; Akira Ando; Nobuhiro Kodama; Yasunari Kaneyama; Shunsuke Maeda; Takashige Kuraki; Takemasa Matsumoto; Koutaro Yokote; Taka-Aki Nakada; Ryuzo Abe; Taku Oshima; Tadanaga Shimada; Masahiro Harada; Takeshi Takahashi; Hiroshi Ono; Toshihiro Sakurai; Takayuki Shibusawa; Yoshifumi Kimizuka; Akihiko Kawana; Tomoya Sano; Chie Watanabe; Ryohei Suematsu; Hisako Sageshima; Ayumi Yoshifuji; Kazuto Ito; Saeko Takahashi; Kota Ishioka; Morio Nakamura; Makoto Masuda; Aya Wakabayashi; Hiroki Watanabe; Suguru Ueda; Masanori Nishikawa; Yusuke Chihara; Mayumi Takeuchi; Keisuke Onoi; Jun Shinozuka; Atsushi Sueyoshi; Yoji Nagasaki; Masaki Okamoto; Sayoko Ishihara; Masatoshi Shimo; Yoshihisa Tokunaga; Yu Kusaka; Takehiko Ohba; Susumu Isogai; Aki Ogawa; Takuya Inoue; Satoru Fukuyama; Yoshihiro Eriguchi; Akiko Yonekawa; Keiko Kan-o; Koichiro Matsumoto; Kensuke Kanaoka; Shoichi Ihara; Kiyoshi Komuta; Yoshiaki Inoue; Shigeru Chiba; Kunihiro Yamagata; Yuji Hiramatsu; Hirayasu Kai; Koichiro Asano; Tsuyoshi Oguma; Yoko Ito; Satoru Hashimoto; Masaki Yamasaki; Yu Kasamatsu; Yuko Komase; Naoya Hida; Takahiro Tsuburai; Baku Oyama; Minoru Takada; Hidenori Kanda; Yuichiro Kitagawa; Tetsuya Fukuta; Takahito Miyake; Shozo Yoshida; Shinji Ogura; Shinji Abe; Yuta Kono; Yuki Togashi; Hiroyuki Takoi; Ryota Kikuchi; Shinichi Ogawa; Tomouki Ogata; Shoichiro Ishihara; Arihiko Kanehiro; Shinji Ozaki; Yasuko Fuchimo; Sae Wada; Nobukazu Fujimoto; Kei Nishiyama; Mariko Terashima; Satoru Beppu; Kosuke Yoshida; Osamu Narumoto; Hideaki Nagai; Nobuharu Ooshima; Mitsuru Motegi; Akira Umeda; Kazuya Miyagawa; Hisato Shimada; Mayu Endo; Yoshiyuki Ohira; Masafumi Watanabe; Sumito Inoue; Akira Igarashi; Masamichi Sato; Hironori Sagara; Akihiko Tanaka; Shin Ohta; Tomoyuki Kimura; Yoko Shibata; Yoshinori Tanino; Takefumi Nikaido; Hiroyuki Minemura; Yuki Sato; Yuichiro Yamada; Takuya Hashino; Masato Shinoki; Hajime Iwagoe; Hiroshi Takahashi; Kazuhiko Fujii; Hiroto Kishi; Masayuki Kanai; Tomonori Imamura; Tatsuya Yamashita; Masakiyo Yatomi; Toshitaka Maeno; Shinichi Hayashi; Mai Takahashi; Mizuki Kuramochi; Isamu Kamimaki; Yoshiteru Tominaga; Tomoo Ishii; Mitsuyoshi Utsugi; Akihiro Ono; Toru Tanaka; Takeru Kashiwada; Kazue Fujita; Yoshinobu Saito; Masahiro Seike; Yosuke Omae; Yasuhito Nannya; Takafumi Ueno; Tomomi Takano; Kazuhiko Katayama; Masumi Ai; Atsushi Kumanogoh; Toshiro Sato; Naoki Hasegawa; Katsushi Tokunaga; Makoto Ishii; Ryuji Koike; Yuko Kitagawa; Akinori Kimura; Seiya Imoto; Satoru Miyano; Seishi Ogawa; Takanori Kanai; Yukinori Okada.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.05.17.21256513

ABSTRACT

To elucidate the host genetic loci affecting severity of SARS-CoV-2 infection, or Coronavirus disease 2019 (COVID-19), is an emerging issue in the face of the current devastating pandemic. Here, we report a genome-wide association study (GWAS) of COVID-19 in a Japanese population led by the Japan COVID-19 Task Force, as one of the initial discovery GWAS studies performed on a non-European population. Enrolling a total of 2,393 cases and 3,289 controls, we not only replicated previously reported COVID-19 risk variants (e.g., LZTFL1, FOXP4, ABO, and IFNAR2), but also found a variant on 5p35 (rs60200309-A at DOCK2) that was significantly associated with severe COVID-19 in younger (<65 years of age) patients with a genome-wide significant p-value of 1.2 x 10-8 (odds ratio = 2.01, 95% confidence interval = 1.58-2.55). This risk allele was prevalent in East Asians, including Japanese (minor allele frequency [MAF] = 0.097), but rarely found in Europeans. Cross-population Mendelian randomization analysis made a causal inference of a number of complex human traits on COVID-19. In particular, obesity had a significant impact on severe COVID-19. The presence of the population-specific risk allele underscores the need of non-European studies of COVID-19 host genetics.


Subject(s)
Obesity , COVID-19
2.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-156575.v1

ABSTRACT

The COVID-19 pandemic is an unprecedented threat to humanity provoking global health concerns. Since the etio-pathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. An accurate prediction of the disease progression can aid in appropriate patient categorization to determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins closely associated with the prognosis of COVID-19. We observed 27 proteins to be differentially expressed between the cohorts of severely ill COVID-19 patients with adverse and favorable prognosis. Ingenuity pathway analysis revealed that 15 out of the 27 proteins might be regulated by cytokine signalling relevant to interleukin (IL)-1b, IL-6 and tumor necrosis factor (TNF), and their differential expression was possibly implicated in the systemic inflammatory response and cardiovascular disorders. We further evaluated the practical prognosticators for the clinical prognosis of severe COVID-19 patients. Subsequent ELISA analyses further uncovered that CHI3L1 and IGFALS could be potent prognostic markers with a high sensitivity. Our findings can help in formulating a diagnostic approach for accurately discriminating severe COVID-19 patients and provide appropriate treatment based on their predicted prognosis.


Subject(s)
Necrosis , Cardiovascular Diseases , COVID-19
3.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.11.04.20225805

ABSTRACT

ObjectiveSerological tests for COVID-19 have been instrumental in studying the epidemiology of the disease. However, the performance of the currently available tests is plagued by the problem of variability. We have developed a high-throughput serological test capable of simultaneously detecting total immunoglobulins (Ig) and immunoglobulin G (IgG) against two of the most immunologically relevant SARS-CoV-2 antigens, nucleocapsid protein (NP) and spike protein (SP) and report its performance in detecting COVID-19 in clinical samples. MethodsWe designed and prepared reagents for measuring NP-IgG, NP-Total Ig, SP-IgG, and SP-Total Ig (using N-terminally truncated NP ({Delta}N-NP) or receptor-binding domain (RBD) antigen) on the advanced chemiluminescence enzyme immunoassay system TOSOH AIA-CL. After determining the basal thresholds based on 17 sera obtained from confirmed COVID-19 patients and 600 negative sera. Subsequently, the clinical validity of the assay was evaluated using independent 202 positive samples and 1,000 negative samples from healthy donors. ResultsAll of the four test parameters showed 100% specificity individually (1,000/1,000; 95%CI, 99.63-100). The sensitivity of the assay increased proportionally to the elapsed time from symptoms onset, and all the tests achieved 100% sensitivity (153/153; 95%CI, 97.63-100) after 13 days from symptoms onset. NP-Total Ig was the earliest to attain maximal sensitivity among the other antibodies tested. ConclusionOur newly developed serological testing exhibited 100% sensitivity and specificity after 13 days from symptoms onset. Hence, it could be used as a reliable method for accurate detection of COVID-19 patients and to evaluate seroprevalence and possibly for surrogate assessment of herd immunity.


Subject(s)
COVID-19
4.
ssrn; 2020.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3726139

ABSTRACT

The COVID-19 is an unprecedented threat to humanity provoking global health concerns. Since the etio-pathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. An accurate prediction of the disease progression can aid in appropriate patient categorization to determine the best treatment option. Here, we introduced an innovative approach utilizing data-independent acquisition (DIA) mass spectrometry to identify the serum proteins closely associated with the COVID-19 severity. We observed 23 proteins to be differentially expressed between the cohorts of critically ill COVID-19 patients with adverse and favorable prognosis. Myoglobin (MB), CHI3L1 and IGFALS were found to have a high sensitivity and specificity for their possible use as independent biomarkers to provide information on the disease prognosis. Our findings can help in formulating a diagnostic approach for accurately discriminating severe COVID-19 patients and provide appropriate treatment based on their predicted prognosis.Funding: This work was in part supported by grants from the Japan Agency for Medical Research and Development (JP19fk0108169 to YK and JP19fk0108110/JP20he0522001 to AR).Conflict of Interest: The authors declare no competing interests.Ethical Approval: This research plan and protocol was approved by the Clinical Ethics Committee of Yokohama City University Hospital (B2002000048). This study was also performed with the approval of the Clinical Ethics Committee in each of the medical facilities. Informed consent was obtained from all patients and/or their guardians before serum samples collection.


Subject(s)
COVID-19
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