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1.
biorxiv; 2023.
Preprint em Inglês | bioRxiv | ID: ppzbmed-10.1101.2023.11.29.569330

RESUMO

To control infection with SARS-CoV-2 Omicron XBB subvariants, the XBB.1.5 monovalent mRNA vaccine has been available since September 2023. However, we have found that natural infection with XBB subvariants, including XBB.1.5, does not efficiently induce humoral immunity against the infecting XBB subvariants. These observations raise the possibility that the XBB.1.5 monovalent vaccine may not be able to efficiently induce humoral immunity against emerging SARS-CoV-2 variants, including a variety of XBB subvariants (XBB.1.5, XBB.1.16, XBB.2.3, EG.5.1 and HK.3) as well as BA.2.86. To address this possibility, we collected two types of sera from individuals vaccinated with the XBB.1.5 vaccine; those who had not been previously infected with SARS-CoV-2 and those who had been infected with XBB subvariants prior to XBB.1.5 vaccination. We collected sera before and 3-4 weeks after vaccination, and then performed a neutralization assay using these sera and pseudoviruses.


Assuntos
Infecções
2.
researchsquare; 2023.
Preprint em Inglês | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2974448.v1

RESUMO

Background: A health-economic evaluation related to COVID-19 is urgently needed to allocate healthcare resources efficiently; however, relevant medical cost data in Japan concerning COVID-19 are scarce. Methods: This cross-sectional study investigated the healthcare cost for hospitalized COVID-19 patients in 2021 at Keio University Hospital. We calculated the healthcare costs during hospitalization using hospital claims data and investigated the variables significantly related to the healthcare cost with multivariate analysis. Results: The median healthcare cost per patient for the analyzed 330 patients was Japanese yen (JPY) 1,304,431 (US dollars ~11,871) (interquartile range: JPY 968,349–1,954,093), and the median length of stay was 10 days. The median healthcare cost was JPY 798,810 for mild cases; JPY 1,113,680 for moderate I cases; JPY 1,643,909 for moderate II cases; and JPY 6,210,607 for severe cases. Healthcare costs increased by 4.0% for each additional day of hospitalization; 1.26 times for moderate I cases; 1.64 times for moderate II cases; 1.84 times for severe cases; and 2.05 times for cases involving ICU stay. Conclusions: We clarified the healthcare cost for hospitalized COVID-19 patients by severity in a Japanese university hospital. These costs contribute as inputs for forthcoming health economic evaluations for strategies for preventing and treating COVID-19.


Assuntos
COVID-19
3.
biorxiv; 2022.
Preprint em Inglês | bioRxiv | ID: ppzbmed-10.1101.2022.07.31.500554

RESUMO

Although BNT162b2 vaccination was shown to prevent infection and reduce COVID-19 severity, and the persistence of immunological memory generated by the vaccination has not been well elucidated. We evaluated memory B and T cell responses to the SARS-CoV-2 spike protein before and after the third BNT162b2 booster. Although the antibody titer against the spike receptor-binding domain (RBD) decreased significantly 8 months after the second vaccination, the number of memory B cells continued to increase, while the number of memory T cells decreased slowly. Memory B and T cells from unvaccinated infected patients showed similar kinetics. After the third vaccination, the antibody titer increased to the level of the second vaccination, and memory B cells increased at significantly higher levels before the booster, while memory T cells recovered close to the second vaccination levels. In memory T cells, the frequency of CXCR5+CXCR3+CCR6- cTfh1 was positively correlated with RBD-specific antibody-secreting B cells. Furthermore, T cell-dependent antibody production from reactivated memory B cells in vitro was correlated to the Tfh-like cytokine levels. For the response to variant RBDs, although 60%-80% of memory B cells could bind to the Omicron RBD, their binding affinity was low, while memory T cells show an equal response to the Omicron spike. Thus, the persistent presence of memory B and T cells will quickly upregulate antibody production and T cell responses after Omicron strain infection, which prevents severe illness and death due to COVID-19.


Assuntos
Síndrome Respiratória Aguda Grave , Morte , COVID-19
4.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.07.11.22277481

RESUMO

Japan has reported a small number of COVID-19 cases relative to other countries. Because not all infected people receive diagnostic tests for COVID-19, the reported number of COVID-19 cases must be lower than the actual number of infections. Assessments of the presence of antibodies against the spike protein of SARS-CoV-2 can retrospectively determine the history of natural infection and vaccination. In this study, we assessed SARS-CoV-2 seroprevalence by analyzing over 60,000 samples collected in Japan from February 2020 to March 2022. The results showed that about 5% of the Japanese population had been infected with the virus by January 2021. The seroprevalence increased with the administration of vaccinations to adults; however, among the elderly, it was not as high as the vaccination rate, probably due to poor immune responses to the vaccines and waning immunity. The infection was spread during the epidemic waves caused by the SARS-CoV-2 Delta and Omicron variants among children who were not eligible for vaccination. Nevertheless, their seroprevalence was as low as 10% as of March 2022. Our study underscores the low incidence of SARS-CoV-2 infection in Japan and the effects of vaccination on immunity at the population level.


Assuntos
COVID-19
5.
researchsquare; 2022.
Preprint em Inglês | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1822996.v1

RESUMO

Antibody waning after COVID-19 vaccinations results in the necessity of booster shots. Determining the timing of booster shots according to the decreasing antibodies of each individual will reduce the burden of excessive vaccine administration. We have developed a mathematical model to estimate waning antibody concentration (titer) during the timecourse after two doses of BNT162b2 vaccine. Using consecutive antibody datasets of over 600 vaccinated healthcare workers, we demonstrated a two-compartment model that fits better than other models. Internal validation of the model demonstrated 97.0% accuracy and external validation of healthcare worker and hemodialyzed patient datasets demonstrated 98.2% and 83.3% accuracy, respectively. A smart device application developed using our model can rapidly calculate the timing of negative seroconversion with a single antibody titer measurement. Although further modification of the model is essential, the change in antibody titer over time from COVID-19 vaccination may be estimated with a two-compartment model. 


Assuntos
COVID-19
6.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.04.26.22274196

RESUMO

The detailed mechanisms of COVID-19 infection pathology remain poorly understood. To improve our understanding of SARS-CoV-2 pathology, we performed a multi-omics analysis of an immunologically naive SARS-CoV-2 clinical cohort from the plasma of uninfected controls, mild, and severe infections. A comparison of healthy controls and patient samples showed activation of neutrophil degranulation pathways and formation of neutrophil extracellular trap (NET) complexes that were activated in a subset of the mild infections and more prevalent in severe infections (containing multiple NET proteins in individual patient samples). As a potential mechanism to suppress NET formation, multiple redox enzymes were elevated in the mild and severe symptom population. Analysis of metabolites from the same cohort showed a 24- and 60-fold elevation in plasma L-cystine, the oxidized form of cysteine, which is a substrate of the powerful antioxidant glutathione, in mild and severe patients, respectively. Unique to patients with mild infections, the carnosine dipeptidase modifying enzyme (CNDP1) was up-regulated. The strong protein and metabolite oxidation signatures suggest multiple compensatory pathways working to suppress oxidation and NET formation in SARS-CoV-2 infections.


Assuntos
COVID-19 , Síndrome Respiratória Aguda Grave
7.
medrxiv; 2022.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2022.01.29.22270052

RESUMO

Introduction The waning of the antibody titre after the first two doses of the Pfizer-BioNTech BNT162b2 mRNA SARS-CoV-2 vaccine was reported. However, knowledge of the dynamics of cellular immunity is scarce. Here, we performed a prospective cohort study to disclose antibody and cellular immunity dynamics and discuss the relationship between immunity and breakthrough infection. Methods The study had a prospective cohort design. Antibody titres against SARS-CoV-2 in serially collected serum samples of 608 Japanese vaccinees after 6 months of vaccination were measured. Simultaneously, T-cell immunity dynamics were assessed using the QuantiFERON SARS-CoV-2 assay. Additionally, participants with suspected breakthrough infection were detected according to the positive conversion of the IgG assay for nucleocapsid proteins of SARS-CoV-2. Results Antibody titres were elevated 3 weeks after vaccination and waned over the remainder of the study period. The QuantiFERON SARS-CoV-2 assay performed on 536 participants demonstrated the similar dynamics. Six participants without predisposing medical conditions demonstrated positive conversion of the IgG assay for nucleocapsid proteins, while five were asymptomatic. Conclusion Waning of humoral and cellular immunity within 6 months of administration of two doses of BNT162b2 vaccine among Japanese healthcare professionals and the occurrence of asymptomatic breakthrough infection was suspected in approximately 1 of 100 vaccinees. (UMIN000043340)


Assuntos
Dor Irruptiva
8.
medrxiv; 2021.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2021.12.14.21267039

RESUMO

Generation of antigen-specific memory T cells has been analyzed only for few coronavirus disease 2019 (COVID-19) vaccinees, whereas antibody titers have been serologically measured for a large number of individuals. Here, we assessed the anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular immune response in a large cohort using interferon (IFN)-{gamma} release assays (IGRAs) based on short-term whole blood culture. The study included 571 individuals who received the viral spike (S) protein-expressing BNT162b2 mRNA SARS-CoV-2 vaccine. Serum IgG titers against the receptor-binding domain (RBD) of S protein were measured. Samples of 28 vaccinees were subjected to flow cytometry analysis of T cells derived from short-term whole blood culture. IFN-{gamma} production triggered by S antigens was observed in most individuals 8 weeks after receiving the second dose of the vaccine, indicating acquisition of T cell memory responses. The frequencies of activated T cell subsets were strongly correlated with IFN-{gamma} levels, supporting the usability of our approach. S antigen-stimulated IFN-{gamma} levels were weakly correlated with anti-RBD IgG titers and associated with pre-vaccination infection and adverse reactions after the second dose. Our approach revealed cellular immunity acquired after COVID-19 vaccination, providing insights regarding the effects and adverse reactions of vaccination.


Assuntos
Infecções por Coronavirus , COVID-19
9.
researchsquare; 2021.
Preprint em Inglês | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-774361.v1

RESUMO

The gastrointestinal tract is constitutively exposed to proteases including trypsin, a serine protease originating from the pancreas1. Elevated trypsin levels in the large intestine have been implicated in pathological conditions including infectious and inflammatory bowel disease2-4. Here we show that trypsin is regulated via degradation by members of the gut microbiota. After passing through the small intestine, trypsin activity is markedly reduced in the caecum of specific pathogen-free (SPF) mice, whereas germ-free (GF) mice have high luminal trypsin levels. We have successfully identified and isolated Paraprevotella strains from the faecal microbiome of healthy human donors as potent trypsin-degrading commensals. Mechanistically, Paraprevotella recruit trypsin to the bacterial surface through type IX secretion system-dependent polysaccharide-anchoring proteins and promote trypsin autolysis. Paraprevotella colonization protects IgA from trypsin degradation and enhances the effectiveness of oral vaccines against Citrobacter rodentium. Moreover, Paraprevotella colonization inhibits lethal infection with murine hepatitis virus, a mouse coronavirus dependent on trypsin and trypsin-like proteases for entry into host cells5,6. Congruently, carriage of putative genes involved in trypsin degradation in the gut microbiome was associated with reduced diarrhoea severity in patients with SARS-CoV2 infection. Therefore, trypsin-degrading commensal colonization may contribute to the maintenance of intestinal homeostasis and protection from pathogen infection.

10.
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 em Inglês | medRxiv | ID: ppzbmed-10.1101.2021.05.17.21256513

RESUMO

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.


Assuntos
Obesidade , COVID-19
11.
ssrn; 2020.
Preprint em Inglês | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3757398

RESUMO

Background: It is well known that SARS-CoV-2 genome accumulates point mutations constantly. However, whether non-synonymous mutations affect COVID-19 severity through altering viral protein function remains unknown.Methods: We performed SARS-CoV-2 genome sequencing in 90 patients with COVID-19 admitted at Keio University Hospital in Tokyo Metropolitan area between March and August 2020. Viral haplotypes were examined by counting the number of non-synonymous mutations to analyse phylogenic trees and comparative amino acid sequence. Statistically relevant non-synonymous mutations were functionally evaluated with structural analyses.Findings: The number of non-synonymous mutations correlated inversely with the COVID-19 severity. Phylogenic tree analyses identified two predominant groups which were differentiated by a set of six point mutations (four non-synonymous amino acid mutations). Among them, Pro108Ser in 3 chymotrypsin-like protease (3CLpro) and Pro151Leu in nucleocapsid protein occurred at conserved locations among β-coronaviruses. Patients with these mutations indicated significantly lower odds ratio for developing hypoxia which required supplemental oxygen (adjusted odds ratio 0·24 [95% CI 0·07-0·88, p-value = 0·032]) after adjustments for age and sex, versus those lacking this haplotype in the canonical Clade 20B spread in Japan. The Pro108Ser 3CLpro enzyme decreases in the activity by 58%, and the hydrogen/deuterium exchange mass spectrometry reveals that mechanisms for decline-of-function involve structural perturbation at the substrate-binding region which is positioned behind and distant from the 108th amino acid residue of the enzyme.Interpretation: Viral genome sequencing in Tokyo showed that the specific mutant strain containing Pro108Ser mutation in 3CLpro, ameliorates the COVID-19 severity. This Pro108Ser mutant in 3CLpro reduces the catalytic activity of the protein by 50%. The mutant strain rapidly outcompeted pre-existing variants to become the dominant one in Japan. Our results may benefit the efforts under way to design small molecular compounds or antibodies targeting 3CLpro.Funding: Keio Gijuku Academic Development Funds and AMED (Grant Number JP20he0622043)Declaration of Interests: Authors have no conflicts of interests.Ethics Approval Statement: The study protocol was approved by the Ethics Committee of Keio University School of Medicine (approval number: 20200062).


Assuntos
Deficiências da Aprendizagem , Hipóxia , COVID-19
12.
medrxiv; 2020.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2020.11.24.20235952

RESUMO

Background: SARS-CoV-2 genome accumulates point mutations in a constant manner. Whether the accumulation of point mutations is correlated with milder manifestations of COVID-19 remains unknown. Methods: We performed SARS-CoV-2 genome sequencing in 90 patients with COVID-19 infection treated at a tertiary medical center in Tokyo between March and August 2020. The possible association between disease severity and viral haplotype was then assessed by counting the number of mutations in addition to performing phylogenic tree analysis, comparative amino acid sequence analysis among {beta}-coronaviruses, and mathematical prediction of the functional relevance of amino acid substitutions. Results: The number of non-synonymous mutations was inversely correlated with COVID-19 severity, as defined by requiring oxygen supplementation. Phylogenic tree analysis identified two predominant groups which were separated by a set of 6 single nucleotide substitutions, including four leading to non-synonymous amino acid substitutions. Among those four, Pro108Ser in 3 chymotrypsin-like protease (3CLpro) and Pro151Leu in nucleocapsid protein occurred at conserved locations and were predicted to be deleterious. Patients with Pro108Ser in 3CLpro and Pro151Leu in nucleocapsid protein had a lower odds ratio for developing hypoxia requiring supplemental oxygen (odds ratio of 0.24 [95% confidence interval of 0.07-0.88, P-value = 0.032]) after adjustments for age and sex, compared with patients lacking this haplotype in Clade 20B. Conclusion: Viral genome sequencing in 90 patients treated in the Tokyo Metropolitan area showed that the accumulation of point mutations, including Pro108Ser in 3CLpro and Pro151Leu in nucleocapsid protein, was inversely correlated with COVID-19 severity. Further in vitro research is awaited.


Assuntos
COVID-19 , Hipóxia
13.
medrxiv; 2020.
Preprint em Inglês | medRxiv | ID: ppzbmed-10.1101.2020.05.21.20107599

RESUMO

The novel coronavirus disease (COVID-19) pandemic caused by SARS-CoV-2 is a major threat to humans. Recently, we encountered two seemingly separate COVID-19 clusters in a tertiary care medical center. Whole viral genome sequencing detected the haplotype of the SARS-CoV-2 genome and the two clusters were successfully distinguished by the viral genome haplotype. Concurrently, there were nine COVID-19 patients clinically unlinked to clusters #1 or #2 that necessitated the determination of the source of infection. Such patients had similar haplotypes to those in cluster #2 but were devoid of two rare mutations characteristic to cluster #2. This suggested that these nine cases of "probable community infection" indeed had community infection and were not derived from cluster #2. Whole viral genome sequencing of SARS-CoV-2 is a powerful measure not only for monitoring the global trend of SARS-CoV-2 but also for identifying the source of infection of COVID-19 at a level of institution.


Assuntos
COVID-19
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