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1.
Exp Hematol Oncol ; 11(1):53, 2022.
Article in English | PubMed | ID: covidwho-2021341

ABSTRACT

Because prolonged viral replication of SARS-CoV-2 is increasingly being recognized among immunocompromised patients, subacute or chronic COVID-19 pneumonia can cause persistent lung damage and may lead to viral escape phenomena. Highly efficacious antiviral therapies in immunosuppressed hosts with COVID-19 are urgently needed. From February 2022, we introduced novel treatment combining antiviral therapies and neutralizing antibodies with frequent monitoring of spike-specific antibody and RT-PCR cycle threshold (Ct) values as indicators of viral load for immunocompromised patients with persistent COVID-19 infection. We applied this treatment to 10 immunosuppressed patients with COVID-19, and all completed treatment without relapse of infection. This may be a potentially successful treatment strategy that enables us to sustain viral clearance, determine optimal timing to stop treatment, and prevent virus reactivation in immunocompromised patients with persistent COVID-19.

2.
Wang, Q. S.; Edahiro, R.; Namkoong, H.; Hasegawa, T.; Shirai, Y.; Sonehara, K.; Tanaka, H.; Lee, H.; Saiki, R.; Hyugaji, T.; Shimizu, E.; Katayama, K.; Kanai, M.; Naito, T.; Sasa, N.; Yamamoto, K.; Kato, Y.; Morita, T.; Takahashi, K.; Harada, N.; Naito, T.; Hiki, M.; Matsushita, Y.; Takagi, H.; Ichikawa, M.; Nakamura, A.; Harada, S.; Sandhu, Y.; Kabata, H.; Masaki, K.; Kamata, H.; Ikemura, S.; Chubachi, S.; Okamori, S.; Terai, H.; Morita, A.; Asakura, T.; Sasaki, J.; Morisaki, H.; Uwamino, Y.; Nanki, K.; Uchida, S.; Uno, S.; Nishimura, T.; Ishiguro, T.; Isono, T.; Shibata, S.; Matsui, Y.; Hosoda, C.; Takano, K.; Nishida, T.; Kobayashi, Y.; Takaku, Y.; Takayanagi, N.; Ueda, S.; Tada, A.; Miyawaki, M.; Yamamoto, M.; Yoshida, E.; Hayashi, R.; Nagasaka, T.; Arai, S.; Kaneko, Y.; Sasaki, K.; Tagaya, E.; Kawana, M.; Arimura, K.; Takahashi, K.; Anzai, T.; Ito, S.; Endo, A.; Uchimura, Y.; Miyazaki, Y.; Honda, T.; Tateishi, T.; Tohda, S.; Ichimura, N.; Sonobe, K.; Sassa, C. T.; Nakajima, J.; Nakano, Y.; Nakajima, Y.; Anan, R.; Arai, R.; Kurihara, Y.; Harada, Y.; Nishio, K.; Ueda, T.; Azuma, M.; Saito, R.; Sado, T.; Miyazaki, Y.; Sato, R.; Haruta, Y.; Nagasaki, T.; Yasui, Y.; Hasegawa, Y.; Mutoh, Y.; Kimura, T.; Sato, T.; Takei, R.; Hagimoto, S.; Noguchi, Y.; Yamano, Y.; Sasano, H.; Ota, S.; Nakamori, Y.; Yoshiya, K.; Saito, F.; Yoshihara, T.; Wada, D.; Iwamura, H.; Kanayama, S.; Maruyama, S.; Yoshiyama, T.; Ohta, K.; Kokuto, H.; Ogata, H.; Tanaka, Y.; Arakawa, K.; Shimoda, M.; Osawa, T.; Tateno, H.; Hase, I.; Yoshida, S.; Suzuki, S.; Kawada, M.; Horinouchi, H.; Saito, F.; Mitamura, K.; Hagihara, M.; Ochi, J.; Uchida, T.; Baba, R.; Arai, D.; Ogura, T.; Takahashi, H.; Hagiwara, S.; Nagao, G.; Konishi, S.; Nakachi, I.; Murakami, K.; Yamada, M.; Sugiura, H.; Sano, H.; Matsumoto, S.; Kimura, N.; Ono, Y.; Baba, H.; Suzuki, Y.; Nakayama, S.; Masuzawa, K.; Namba, S.; Shiroyama, T.; Noda, Y.; Niitsu, T.; Adachi, Y.; Enomoto, T.; Amiya, S.; Hara, R.; Yamaguchi, Y.; Murakami, T.; Kuge, T.; Matsumoto, K.; Yamamoto, Y.; Yamamoto, M.; Yoneda, M.; Tomono, K.; Kato, K.; Hirata, H.; Takeda, Y.; Koh, H.; Manabe, T.; Funatsu, Y.; Ito, F.; Fukui, T.; Shinozuka, K.; Kohashi, S.; Miyazaki, M.; Shoko, T.; Kojima, M.; Adachi, T.; Ishikawa, M.; Takahashi, K.; Inoue, T.; Hirano, T.; Kobayashi, K.; Takaoka, H.; Watanabe, K.; Miyazawa, N.; Kimura, Y.; Sado, R.; Sugimoto, H.; Kamiya, A.; Kuwahara, N.; Fujiwara, A.; Matsunaga, T.; Sato, Y.; Okada, T.; Hirai, Y.; Kawashima, H.; Narita, A.; Niwa, K.; Sekikawa, Y.; Nishi, K.; Nishitsuji, M.; Tani, M.; Suzuki, J.; Nakatsumi, H.; Ogura, T.; Kitamura, H.; Hagiwara, E.; Murohashi, K.; Okabayashi, H.; Mochimaru, T.; Nukaga, S.; Satomi, R.; Oyamada, Y.; Mori, N.; Baba, T.; Fukui, Y.; Odate, M.; Mashimo, S.; Makino, Y.; Yagi, K.; Hashiguchi, M.; Kagyo, J.; Shiomi, T.; Fuke, S.; Saito, H.; Tsuchida, T.; Fujitani, S.; Takita, M.; Morikawa, D.; Yoshida, T.; Izumo, T.; Inomata, M.; Kuse, N.; Awano, N.; Tone, M.; Ito, A.; Nakamura, Y.; Hoshino, K.; Maruyama, J.; Ishikura, H.; Takata, T.; Odani, T.; Amishima, M.; Hattori, T.; Shichinohe, Y.; Kagaya, T.; Kita, T.; Ohta, K.; Sakagami, S.; Koshida, K.; Hayashi, K.; Shimizu, T.; Kozu, Y.; Hiranuma, H.; Gon, Y.; Izumi, N.; Nagata, K.; Ueda, K.; Taki, R.; Hanada, S.; Kawamura, K.; Ichikado, K.; Nishiyama, K.; Muranaka, H.; Nakamura, K.; Hashimoto, N.; Wakahara, K.; Koji, S.; Omote, N.; Ando, A.; Kodama, N.; Kaneyama, Y.; Maeda, S.; Kuraki, T.; Matsumoto, T.; Yokote, K.; Nakada, T. A.; Abe, R.; Oshima, T.; Shimada, T.; Harada, M.; Takahashi, T.; Ono, H.; Sakurai, T.; Shibusawa, T.; Kimizuka, Y.; Kawana, A.; Sano, T.; Watanabe, C.; Suematsu, R.; Sageshima, H.; Yoshifuji, A.; Ito, K.; Takahashi, S.; Ishioka, K.; Nakamura, M.; Masuda, M.; Wakabayashi, A.; Watanabe, H.; Ueda, S.; Nishikawa, M.; Chihara, Y.; Takeuchi, M.; Onoi, K.; Shinozuka, J.; Sueyoshi, A.; Nagasaki, Y.; Okamoto, M.; Ishihara, S.; Shimo, M.; Tokunaga, Y.; Kusaka, Y.; Ohba, T.; Isogai, S.; Ogawa, A.; Inoue, T.; Fukuyama, S.; Eriguchi, Y.; Yonekawa, A.; Kan, O. K.; Matsumoto, K.; Kanaoka, K.; Ihara, S.; Komuta, K.; Inoue, Y.; Chiba, S.; Yamagata, K.; Hiramatsu, Y.; Kai, H.; Asano, K.; Oguma, T.; Ito, Y.; Hashimoto, S.; Yamasaki, M.; Kasamatsu, Y.; Komase, Y.; Hida, N.; Tsuburai, T.; Oyama, B.; Takada, M.; Kanda, H.; Kitagawa, Y.; Fukuta, T.; Miyake, T.; Yoshida, S.; Ogura, S.; Abe, S.; Kono, Y.; Togashi, Y.; Takoi, H.; Kikuchi, R.; Ogawa, S.; Ogata, T.; Ishihara, S.; Kanehiro, A.; Ozaki, S.; Fuchimoto, Y.; Wada, S.; Fujimoto, N.; Nishiyama, K.; Terashima, M.; Beppu, S.; Yoshida, K.; Narumoto, O.; Nagai, H.; Ooshima, N.; Motegi, M.; Umeda, A.; Miyagawa, K.; Shimada, H.; Endo, M.; Ohira, Y.; Watanabe, M.; Inoue, S.; Igarashi, A.; Sato, M.; Sagara, H.; Tanaka, A.; Ohta, S.; Kimura, T.; Shibata, Y.; Tanino, Y.; Nikaido, T.; Minemura, H.; Sato, Y.; Yamada, Y.; Hashino, T.; Shinoki, M.; Iwagoe, H.; Takahashi, H.; Fujii, K.; Kishi, H.; Kanai, M.; Imamura, T.; Yamashita, T.; Yatomi, M.; Maeno, T.; Hayashi, S.; Takahashi, M.; Kuramochi, M.; Kamimaki, I.; Tominaga, Y.; Ishii, T.; Utsugi, M.; Ono, A.; Tanaka, T.; Kashiwada, T.; Fujita, K.; Saito, Y.; Seike, M.; Watanabe, H.; Matsuse, H.; Kodaka, N.; Nakano, C.; Oshio, T.; Hirouchi, T.; Makino, S.; Egi, M.; Omae, Y.; Nannya, Y.; Ueno, T.; Takano, T.; Katayama, K.; Ai, M.; Kumanogoh, A.; Sato, T.; Hasegawa, N.; Tokunaga, K.; Ishii, M.; Koike, R.; Kitagawa, Y.; Kimura, A.; Imoto, S.; Miyano, S.; Ogawa, S.; Kanai, T.; Fukunaga, K.; Okada, Y..
Nat Commun ; 13(1):4830, 2022.
Article in English | PubMed | ID: covidwho-2000885

ABSTRACT

Coronavirus disease 2019 (COVID-19) is a recently-emerged infectious disease that has caused millions of deaths, where comprehensive understanding of disease mechanisms is still unestablished. In particular, studies of gene expression dynamics and regulation landscape in COVID-19 infected individuals are limited. Here, we report on a thorough analysis of whole blood RNA-seq data from 465 genotyped samples from the Japan COVID-19 Task Force, including 359 severe and 106 non-severe COVID-19 cases. We discover 1169 putative causal expression quantitative trait loci (eQTLs) including 34 possible colocalizations with biobank fine-mapping results of hematopoietic traits in a Japanese population, 1549 putative causal splice QTLs (sQTLs;e.g. two independent sQTLs at TOR1AIP1), as well as biologically interpretable trans-eQTL examples (e.g., REST and STING1), all fine-mapped at single variant resolution. We perform differential gene expression analysis to elucidate 198 genes with increased expression in severe COVID-19 cases and enriched for innate immune-related functions. Finally, we evaluate the limited but non-zero effect of COVID-19 phenotype on eQTL discovery, and highlight the presence of COVID-19 severity-interaction eQTLs (ieQTLs;e.g., CLEC4C and MYBL2). Our study provides a comprehensive catalog of whole blood regulatory variants in Japanese, as well as a reference for transcriptional landscapes in response to COVID-19 infection.

3.
Journal of Knowledge Management ; ahead-of-print(ahead-of-print):16, 2021.
Article in English | Web of Science | ID: covidwho-1550694

ABSTRACT

Purpose Taking the COVID-19 as the background, this study aims to investigate the direct influencing factors regarding knowledge sharing behavior (KSB) on new media platforms and discuss how the characteristics of the users could enhance the KSB through moderation effect, and provide empirical evidences. Design/methodology/approach Based on the social exchange theory and after the text analysis of the data collected from the Tiktok platform in 2020, this paper uses the quantitative method to evaluate the factors influence KSB on short video social platform during the COVID-19 outbreak. Findings KSB on new media platform could be enhanced by richer knowledge content of the video posted and the attribute of the platform users directly. Platform users could affect the trustworthiness of the knowledge shared, thus influence the knowledge sharing. On the early stage of the COVID-19, the richer content of the knowledge released by users could effectively enhance the KSB. On the early stage of the emergency events, the official users could play a significant role on KS. During the mitigation stage of COVID-19, the KSB of the knowledge shared by unofficial users with richer content could be enhanced and the moderation effect is relatively stronger. Originality/value The research extends the social exchange theory to a disaster management context. The authors provide an effective reference for future governments to effectively cope with the epidemic and spread public knowledge in an emergency response context. By analyzing the influence of knowledge content and influencer characteristics, it could help the social media platform to improve content management and optimize resource allocation.

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