SARS-CoV-2 と COVID-19 に関するメモ・備忘録
下4ツイートを自動翻訳機能で和訳してみました
「SARS-CoV-2は侵入者である
血液脳関門は、施設(あなたの脳)を守る厳重なフェンスである。
通常、このフェンスは許可された人員(必要な栄養素や分子)しか通さない。
しかしこのウイルスは賢い」
「SARS-CoV-2は柵を突破するだけでなく、柵の構造にもダメージを与え、他の不要な侵入者(毒素や有害物質)の侵入を許す可能性がある。
もしSARS-CoV-2が血液脳関門を損なえば、オオカミが柵を越えて羊の放牧地に侵入するようなものである。」
「一旦中に入れば、オオカミは羊(ニューロンやその他の脳細胞)を攻撃することで直ちにダメージを与えることができるが、同時に他の捕食者や病気が安全な空間に入ってくる扉を開いてしまう。」
「長期的な影響は壊滅的で、慢性的な神経学的問題につながる可能性がある。フェンスが破られたことで、群れ全体が継続的な危険にさらされるのと同じことだ。」
SARS-CoV-2 is an infiltrator
The blood-brain barrier is a high-security fence protecting a facility (your brain).
Normally, this fence only allows authorized personnel (essential nutrients and molecules) to pass through.
But this virus is smart
— Outbreak Updates (@outbreakupdates) October 1, 2023
SARS-CoV-2 not only breaches the fence but also damages its structure, potentially allowing other unwanted intruders (toxins, harmful substances) to get in.
If SARS-CoV-2 compromises the blood-brain barrier, it's like a wolf getting past the fence into a sheep pasture.
2/
— Outbreak Updates (@outbreakupdates) October 1, 2023
Once inside, the wolf can cause immediate damage by attacking the sheep (neurons and other brain cells), but it also opens the door for other predators or diseases to enter the safe space.
3/
— Outbreak Updates (@outbreakupdates) October 1, 2023
The long-term consequences could be devastating, potentially leading to chronic neurological issues, much like how a breached fence would put the whole flock at continuous risk.
4/4
— Outbreak Updates (@outbreakupdates) October 1, 2023
コロナウイルスは神経血管細胞に感染し、本来であれば胚発生等で作用するMMP9を増加させて細胞骨格を再構築し、BBBの透過性を高められることが分かったという研究。感染者と長期障害者では、通常の生理学的状態では脳に到達し得ない薬物の通過が可能になっている可能性。https://t.co/4T7peeZsGS
— Angama (@Angama_Market) October 2, 2023
【細胞骨格を再構築】
前のツイが壮絶なのでまとめると、コロナウイルスはBBBを通過できるだけではなく、MMP9という本来胚発生などで作用する酵素を成人の脳内で活性化。基底膜のIV型コラーゲンを分解して細胞骨格の再構築を誘導することで、血液脳関門の透過性を高めてしまう。
— Angama (@Angama_Market) October 2, 2023
もっと大々的にニュースになるべきだと思うんですよね。
— Angama (@Angama_Market) October 6, 2023
◆Alteration of the blood-brain barrier by COVID-19 and its implication in the permeation of drugs into the brain【Frontiers in Cellular Neuroscience 2023年3月14日】
Diverse neurological symptoms have been reported in patients with SARS-CoV-2 disease (COVID-19), including stroke, ataxia, meningitis, encephalitis, and cognitive impairment. These alterations can cause serious sequelae or death and are associated with the entry of SARS-CoV-2 into the Central Nervous System (CNS). This mini-review discusses the main proposed mechanisms by which SARS-CoV-2 interacts with the blood-brain barrier (BBB) and its involvement in the passage of drugs into the CNS. We performed a search in PubMed with the terms “COVID-19” or “SARS-CoV-2” and “blood-brain barrier injury” or “brain injury” from the year 2019 to 2022. We found proposed evidence that SARS-CoV-2 infects neurovascular cells and increases BBB permeability by increasing the expression of matrix metalloproteinase-9 that degrades type IV collagen in the basement membrane and through activating RhoA, which induces restructuring of the cytoskeleton and alters the integrity of the barrier. The breakdown of the BBB triggers a severe inflammatory response, causing the cytokine storm (release of IL-1β, IL-6, TNF-α, etc.) characteristic of the severe phase of COVID-19, which includes the recruitment of macrophages and lymphocytes and the activation of astrocytes and microglia. We conclude that the increased permeability of the BBB would allow the passage of drugs that would not reach the brain in a normal physiological state, thus enhancing certain drugs’ beneficial or adverse effects. We hope this article will encourage research on the impact of drugs on patients with COVID-19 and recovered patients with sequelae, focusing mainly on possible dose adjustments and changes in pharmacokinetic parameters.
1. Introduction
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of coronavirus disease 2019 (COVID-19), which has caused more than 6.5 million deaths and more than 621 million positive cases worldwide (at least until October 17, 2022) as reported by the World Health Organization [WHO] (2022). According to a report by Visual Capitalist (with data from the WHO), COVID-19 is the pandemic with the seventh-highest number of deaths in modern history (Visual Capitalist, 2020).
SARS-CoV-2 is a positive-sense, single-stranded RNA virus with a spherical and spiked protein envelope of about 60-140 nm, belonging to the betacoronavirus genus (Welcome and Mastorakis, 2021). Among the main structural proteins, there is the spike (S) glycoprotein, which is a type I transmembrane protein, composed of the S1 subunit responsible for binding to the receptor on the surface of the host cell and the S2 subunit responsible for the fusion of membranes and viral penetration (Tizenberg et al., 2021; Takeda, 2022). SARS-CoV-1 and SARS-CoV-2 share 79% identity with each other (Lu et al., 2020; Chen Z. et al., 2021); however, SARS-CoV-2 has shown higher binding affinity to human angiotensin-converting enzyme 2 (ACE2), which has been identified as the primary mechanism of cellular infection (Tizenberg et al., 2021). Therefore, SARS-CoV-2 affects the lungs, kidneys, heart, liver, pharynx, brain, and all organs exhibiting ACE2 receptors expression (Puelles et al., 2020). Several neurological complications have been reported in COVID-19 patients, including seizures, Guillain-Barré syndrome, encephalitis, dizziness, headache, ageusia, anosmia, cognitive impairment, affective disorders, coordination deficit, and cerebrovascular injury (Asadi-Pooya and Simani, 2020; Berlit et al., 2020; Mao et al., 2020; Ermis et al., 2021; Papri et al., 2021). In this regard, brain involvement could occur through direct damage to the blood-brain barrier (BBB) that leads to the permeation and spread of the virus into the central nervous system (CNS) (Krasemann et al., 2022). It should be noted that there are other ways the virus can enter the brain, such as the olfactory nerve pathway, where SARS-CoV-2 binds to the olfactory bulb and sustentacular cells. Previous studies have shown that several viruses can enter the brain through this pathway, including SARS-CoV-1, MERS-CoV, and HCoV-OCR43 (Wang et al., 2020). The theory that SARS-CoV-2 can enter through the gastrointestinal system to invade the enteric nervous system and, finally, the brain has also been proposed (Wu and Tang, 2020). However, this review focuses on the BBB as the primary physical defense that regulates the transport of drugs and other substances to the brain.
The BBB is a complex structure of endothelial cells (ECs) regulated by pericytes and end-feet of the astrocytes, as well as vascular smooth muscle cells that contribute to the integrity of the BBB, which dynamically control permeability and prevent the entry of harmful agents and pathogens into the brain. The ECs are connected by tight junctions (TJs) that limit the movement of substances through the paracellular space. Nonetheless, small lipophilic molecules with molecular weight <600 Da may diffuse across the BBB to enter the brain (Zhou et al., 2018). For greater effectiveness in drug delivery, temporary interruption of the BBB has been tried by various methods (Chen et al., 2022). However, this strategy has high risks, such as the invasion by immune cells, bacteria, viruses, toxins, or other molecules (including drugs) that may cause unwanted effects on the brain.
PCRで確定診断しているなら良いのですが、こういうことが起きていますね。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) September 30, 2023
要するに、RATだけでは、
Flu陽性、COVID陰性
と出ても実は、
COVID-19陽性(RAT偽陰性)、Flu陰性(RAT偽陽性)
の可能性を示唆しています。困ったものです。Flu警報が偽警報で実はCOVID-19大流行である可能性まで広がります。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) September 30, 2023
PCRの結果
初日の抗原検査の残検体、5日目に採取した新規の検体共に新型コロナのみ陽性、インフルA.Bともに陰性。
インフルは抗原検査での偽陽性でした。本人は症状改善傾向。
今後検査の解釈について気をつけていきます。
抗原検査キット別の会社のも用意するか?IDNOW(NEAR法)でインフルキットも用意するか?重症化リスクのある人しか保険適応ないのかな?
悩みどころです。
https://kansensho.or.jp/uploads/files/guidelines/teigen_230403.pdf
【本提⾔におけるインフルエンザ核酸検出検査の対象】
インフルエンザの感染が疑われる患者のうち、次のいずれかに該当するもの
・⼊院を要する患者
・重症化リスク*を有する患者
・発症後 24 時間以内で抗ウイルス薬投与が検討される患者
*重症化リスクについては学会等の指針を参考とすること。
〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜
インフルエンザ合併症のリスクの⾼い患者
・5 歳未満(とりわけ 2 歳未満)の幼児
・65 歳以上の⾼齢者
・慢性の、肺疾患(気管⽀喘息を含む)・⼼⾎管疾患・腎疾患・肝疾患・⾎液疾患・代謝性疾患(糖尿病を含む)・神経疾患(脳脊髄障害、末梢神経障害、筋障害、てんかん、脳卒中、精神遅滞、中等度以上の発達異常、筋萎縮、脊髄外傷を含む)
・免疫抑制状態の患者(免疫抑制治療を受けているあるいは HIV 感染を含む)
・妊婦および出産後 2 週以内の産褥婦 https://t.co/cq1WfNqTkJ— 錦戸 崇@天川大島にしきどクリニック (@takasi52411) September 27, 2023
所詮、RATは、抗ウイルス薬を72時間以内投薬する為の道具に過ぎませんからね。COVID-19もFluも。
下水サーベイしていれば、何が起きているかマクロに把握できて、臨床現場に注意報を流せるんですけどね。実際、合衆国ではやっていますし。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) September 30, 2023
5類にしたのなら、治療薬もインフルエンザ薬程度まで、下げてくれ‥
感染力も違うし後遺症もある、更にワクチン後遺症もある感染症なんだよ‥窓口で会計額伝える事に罪悪感を感じて
しまう‥コロナ治療薬、1日から有料 最大9千円、窓口で上乗せ https://t.co/h2kQAJcHUT
— 林 よう子 (@Hayashi21yoko) October 1, 2023
もう2週間近くになりますが、まだ小さな子どもが微熱を繰り返す状況が身近で起こっています。親は2週間以上前に強くコロナが疑われる状況にありましたが、病院には行かず(検査もせず)薬も飲まず回復しました。子どもも病院には連れて行かず、何の薬も飲ませていません。
— バーッド・マン Ⅱ (@TBM4_JP) September 30, 2023
コロナ診療に携わる医院の実態の一例
こういうことも知っておいた方がいいと思う https://t.co/crnhj2xSHj
— yumi ゆみ (@ygjumi) October 1, 2023
10月1日から発熱などの症状でかかった際
院内トリアージ実施料300点→147点に減額(院内で他の患者さん同士の感染拡大を防ぐ工夫をした代金です。)
特定疾患療養管理料147点→0点に減額(コロナ陽性時のみ負担)
つまり4470円の3割の1341円自己負担分が1470円の3割負担分441円に900円安くなります。患者さんにとっては診察時にかかる値段が少し安くなるのでかかりやすくなる面もあります。医療機関からすると3000円減りますのでこれから経営面での努力と工夫が必要です。抗コロナ薬を希望し投薬が必要と判断された場合はこれらとは別に3割負担の方は9000円お薬代としてかかります。(これには初診料や再診料ほかは含まれていません。)抗コロナ薬で儲けてるんだろうと誤解していらっしゃる方がたくさんいますが、抗コロナ薬はほぼ原価ですから儲けなどありません。
初めからお金持ってないけどってやってきて、つらそうで可哀想だから診察して投薬して、後で払いにくるって言ってお帰りいただいても、後で払いに来ない人もたくさんいます。電話かけるとそんなのしらない、説明を受けていない、薬飲んでないから払わないなどと逆ギレされます。ラーメン屋さんでもお腹空いたからチャーシュー麺大盛りとか頼んで後で払いにくるってあまりないと思いますし、通常は犯罪として扱われますが、医療業界ではそうはなっていないので、そういう人はお願いですから来ないでください。— 倉持仁 (@kuramochijin) September 30, 2023
"Consistent mask use and SARS‐CoV‐2 epidemiology: a simulation modelling study – Szanyi – 2023 – Medical Journal of Australia – Wiley Online Library" https://t.co/1exI3yGBYI 10 June 2023
←おそらく謎々効果の柱でしょうね。— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 1, 2023
この論文の紹介記事です。
スレッド🧵になっています。https://t.co/59KDwz0ESx— yumi ゆみ (@ygjumi) October 1, 2023
モデル化されたデータによると、
Covid-19感染を減少させるには、
症例が急増するのを待つよりも、
12ヶ月間一貫してマスクを使用する方が
効果的である。この調査結果は、マスクの着用が感染症の蔓延を
大幅に抑制することを強調している。 https://t.co/jVdWcK324Z— yumi ゆみ (@ygjumi) August 4, 2023
長期的なモデル化によりマスクの継続使用の有効性が示される
New long-term modelling shows effectiveness of consistent mask-use https://t.co/lSVbkHYzad
— yumi ゆみ (@ygjumi) August 4, 2023
Covid-19の感染を防ぐためにマスクを着用することの
有効性を12ヵ月間にわたってモデル化したところ、
マスクを継続的に使用することにメリットがあることが
メルボルン大学の研究者らによって明らかになった。https://t.co/lSVbkHZ6ZL— yumi ゆみ (@ygjumi) August 4, 2023
研究チームは、
ビクトリア州の人口をシミュレートするモデルを使用し、
SARS-CoV-2ウイルスに感染する可能性が、
家の外では常にマスクを着用することによって
減少するかどうかを調査した。https://t.co/lSVbkHYzad— yumi ゆみ (@ygjumi) August 4, 2023
Medical Journal of Australia誌に掲載されたこの研究結果は、
地域社会で一貫してマスクを着用することが、
感染者の急増や新たな感染の波を待ってからマスクを着用するよりも、
Covid-19感染と死亡の負担を減らすのに効果的であることを示している。https://t.co/lSVbkHYzad— yumi ゆみ (@ygjumi) August 4, 2023
Consistent mask use and SARS‐CoV‐2 epidemiology: a simulation modelling study – Szanyi – 2023 – Medical Journal of Australia – Wiley Online Library https://t.co/hQvqWY7nz4
— yumi ゆみ (@ygjumi) August 4, 2023
日本のファクターXはマスクに抵抗がない国民性でしたか。
>モデル化されたデータによると、COVID-19感染を減少させるには、患者が急増するのを待つよりも、12ヶ月間一貫してマスクを使用する方が効果的である。… https://t.co/wl6l5eoDgl— R連続体 MT Ph.D D.H.Sc. (@Rrenzokutai) October 1, 2023
2020年当時のマスク着用率は、70~80%程度で、しかも基本はサージカルマスクでしたからね。
δまではサージカルマスクで十分でしたので謎々効果(Factor X)は主として常時ユニバーサルマスクでしょう。
患者が急増し始めたときにはすでに10日程度先行して十分に蔓延済みです。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 1, 2023
◆Consistent mask use and SARS-CoV-2 epidemiology: a simulation modelling study【WILEY Online Library 2023年7月10日】
Masks effectively reduce severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission.1 However, the impact of mask wearing over an extended period on morbidity and mortality at the population level is less clear, particularly given the interplay between mask effectiveness, population immunity, and other public health and social measures.
We recently reported the results of an integrated epidemiologic and economic agent-based model that assessed the costs and benefits of more than one hundred coronavirus disease 2019 (COVID-19) control policies used in Victoria, in combination with nine scenarios of SARS-CoV-2 variant emergence, during the eighteen months from April 2022.2 We included mask interventions implemented only during large epidemic waves that increased both general mask wearing and the proportion of mask wearing that involved respirators (eg, N95 masks). These policies had minimal impact on health outcomes.2 For this study, we extended these analyses to determine the impact of age-stratified consistent community-level mask wearing (ie, at all times when outside the home) on numbers of SARS-CoV-2 infections and COVID-19-related deaths.
We modelled different levels of consistent mask-wearing by people under 60 years of age (none, 20%, 35%, 50%; lower proportions were applied to people under 20 years of age: see footnote to Box 1) together with equal or greater levels of mask wearing by people aged 60 years or more (about 20% of the population),3 to a maximum of 75%. At each level of use, 80% of masks used were assumed to be cloth or surgical masks and 20% to be respirators. Other public health and social measures were fixed. The model began in April 2022 with Omicron BA.1 and BA.2 as the dominant SARS-CoV-2 variants, with the gradual emergence of BA.4 and BA.5 from May 2022. We calculated quarterly and cumulative median numbers of infections and deaths (from 500 model runs for each scenario, allowing for stochastic and input parameter uncertainty) during the twelve months from April 2022. Odds ratios for the relative risk of infection for people exposed to an infected person (wearing a mask v not wearing a mask) were set at 0.47 for cloth and surgical masks and 0.20 for respirators1 (further model details: Supporting Information, supplementary methods). As we used publicly available data, we did not seek formal ethics approval for our study.
9/29金 川崎の聖マリアンナ医大東横病院、来年3月末に閉院へ 経営が悪化
こちらの病院も経営状況が悪化して閉院。こちらの記事はコロナ禍が原因とは書かれていませんが、北見の病院はコロナの影響。こちらの病院も影響受けてのことかもしれませんね‥https://t.co/j6aHLXzx7t
— Takuro⚓️コロナ情報in全国/神奈川/横浜/川崎/東京/大阪/岐阜/広島/宮崎/愛知/静岡 (@triangle24) October 2, 2023
10/2月 「突然…まさか破産するなんて」北見中央病院が外来患者の受け入れ停止 コロナ禍による経営不振、負債総額4億7000万円か
コロナ禍の外来患者の減少などで経営不振。今後、こういう事例が増えてしまわないだろうか‥https://t.co/Iplkl0w44o
— Takuro⚓️コロナ情報in全国/神奈川/横浜/川崎/東京/大阪/岐阜/広島/宮崎/愛知/静岡 (@triangle24) October 2, 2023
10/2月 #川崎市サーベイランス
👍日曜はここ最近では減らなかった方だが、今日はえらい減ってますね。ちょっと信じられないぐらい。5月下旬の数字です
📈前週比(医療機関あたり/実数)
火0.44/0.42
水0.65/0.62
木0.62/0.55
金0.63/0.56
土0.67/1.59
日0.79/0.60
月0.54/0.32 https://t.co/hxOqfxJrJT pic.twitter.com/Jcb6Bczgyb— Takuro⚓️コロナ情報in全国/神奈川/横浜/川崎/東京/大阪/岐阜/広島/宮崎/愛知/静岡 (@triangle24) October 2, 2023
完全に予測通りですね。
自己負担化で、お金無いから。
これで社会潜伏感染者が激増し、事態はいよいよ制御不能となります。
不幸中の幸いは、厚労省定点9月最後の週のデータで、10-1st Surgeの初期発現を観測できることです。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 2, 2023
CDCのレポートでは、2022年の段階で約1800万人のアメリカ人がコロナウイルス長期障害を負い、そのうち約100万人が子供。約900万人が現在進行形で長期障害。長期障害患者はコルチゾールレベルが低い特徴があるという記事。@lisamjarvis https://t.co/9huxSimNLE @opinionより
— Angama (@Angama_Market) September 28, 2023
長期障害患者はコルチゾールレベルが低い特徴
>これ重要! https://t.co/8uoEENhEky— R連続体 MT Ph.D D.H.Sc. (@Rrenzokutai) September 28, 2023
コロナウイルス変異株エリスの元に当たるクラーケン株などを対象にした調査では、ファイザーのパキロビッドの重症化防止効果が、2年前の調査に比べて半分以下に下がっていることが分かったという記事。
Paxlovid Weaker Against Current COVID-19 Variants https://t.co/bZpJhQm844 @medscapeより
— Angama (@Angama_Market) October 3, 2023
◆Paxlovid Weaker Against Current COVID-19 Variants【Medscape:Ralph Ellis 2023年9月23日】
A real-world study published in JAMA Open Network found that Pfizer’s COVID-19 antiviral Paxlovid is now less effective at preventing hospitalization or death in high-risk patients as compared to earlier studies. But when looking at death alone, the antiviral was still highly effective.
Paxlovid was about 37% effective at preventing death or hospitalization in high-risk patients compared to no treatment. The study also looked at the antiviral Lagevrio, made by Merck, and found it was about 41% effective. In preventing death alone, Paxlovid was about 84% effective compared to no treatment and Lagevrio was about 77% effective, the study said.
The University of North Carolina Gillings School of Global Public Health and the Cleveland Clinic examined electronic health records of 68,867 patients at hospitals in Cleveland and Florida who were diagnosed with COVID from April 1, 2022, to Feb. 20, 2023.
For Paxlovid, the effectiveness against death and hospitalization was lower than the effectiveness rate of about 86% found in clinical trials in 2021, according to Bloomberg.
The difference in effectiveness in the real-world and clinical studies may have occurred because the early studies were conducted with unvaccinated people. Also, the virus has evolved since those first studies, Bloomberg reported.
Researchers said Paxlovid and Lagevrio are recommended for use because they reduce hospitalization and death among high-risk patients who get COVID, even taking recent Omicron subvariants into account.
“These findings suggest that the use of either nirmatrelvir (Paxlovid) or molnupiravir (Lagevrio) is associated with reductions in mortality and hospitalization in patients infected with Omicron, regardless of age, race and ethnicity, virus strain, vaccination status, previous infection status, or coexisting conditions,” the study says. “Both drugs can, therefore, be used to treat non-hospitalized patients who are at high risk of progressing to severe COVID-19.”
Both drugs should be taken within 5 days of the onset of COVID symptoms.
オーストラリア、ビクトリア州では、心臓発作が史上最悪の件数に増加しているというニュース。約10人に1人しか助からない。 https://t.co/g7sMcgH00R
— Angama (@Angama_Market) October 3, 2023
Cardiac arrest incidents are at the highest ever recorded in Victoria, prompting health officials to launch a critical awareness campaign. For more, @Rebecca7Maddern spoke with paramedics Bethany Birkett and Caitlin Baile. https://t.co/5zYfOfGqUb #7NEWS pic.twitter.com/gHbgo464QA
— 7NEWS Melbourne (@7NewsMelbourne) October 2, 2023
緑茶と紅茶に含まれるEGCGとTFDGが、ACE2受容体と初期オミクロン変異株のスパイクプロテインの結合を阻害し、感染力を大幅に引き下げることが分かったという研究。しかしケンタウルス株になると効果が弱まっていた。https://t.co/ccxBgHT8WZ
— Angama (@Angama_Market) October 3, 2023
お茶にまで適応し始めたのか。
— Angama (@Angama_Market) October 3, 2023
◆Effects of tea, catechins and catechin derivatives on Omicron subvariants of SARS-CoV-2【nature:scientific reports 2023年10月3日】
Abstract
The Omicron subvariants of SARS-CoV-2 have multiple mutations in the S-proteins and show high transmissibility. We previously reported that tea catechin (−)-epigallocatechin gallate (EGCG) and its derivatives including theaflavin-3,3’-di-O-digallate (TFDG) strongly inactivated the conventional SARS-CoV-2 by binding to the receptor binding domain (RBD) of the S-protein. Here we show that Omicron subvariants were effectively inactivated by green tea, Matcha, and black tea. EGCG and TFDG strongly suppressed infectivity of BA.1 and XE subvariants, while effect on BA.2.75 was weaker. Neutralization assay showed that EGCG and TFDG inhibited interaction between BA.1 RBD and ACE2. In silico analyses suggested that N460K, G446S and F490S mutations in RBDs crucially influenced the binding of EGCG/TFDG to the RBDs. Healthy volunteers consumed a candy containing green tea or black tea, and saliva collected from them immediately after the candy consumption significantly decreased BA.1 virus infectivity in vitro. These results indicate specific amino acid substitutions in RBDs that crucially influence the binding of EGCG/TFDG to the RBDs and different susceptibility of each Omicron subvariant to EGCG/TFDG. The study may suggest molecular basis for potential usefulness of these compounds in suppression of mutant viruses that could emerge in the future and cause next pandemic.
Introduction
The B.1.1.529 lineage of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in South Africa in November 2021, and designated as the Omicron variant by the World Health Organization (WHO). In comparison with the original strain, the Omicron BA.1 variant harbored 30 amino acid substitutions, deletion of six amino acid residues and an insertion of three amino acid residues in the spike protein that plays key roles in the viral attachment and entry into cells. Due to these heavy mutations, the Omicron variant was recognized as a variant of concern (VOC) with high transmissibility and potential to cause breakthrough infection in vaccinated individuals. Indeed, infection of this variant spread worldwide in 2022, replacing previous variants of SARS-CoV-2. Thereafter, sublineages of the Omicron variant including BA.2, BA.5, BA.2.75 and XBB.1 evolved with additional mutations and caused widespread infection.
SARS-CoV-2 is mainly transmitted by saliva of COVID-19 patients and asymptomatic infected persons, because SARS-CoV-2 infects, and propagates in, salivary glands and oral mucosa in human. Saliva containing the virus may be scattered by speaking, sneezing and coughing and forms droplets and aerosols that could reach nasal and oral mucosa of nearby persons who may subsequently get infected. We considered that inactivation of virus in saliva should be important, and explored various foods and food ingredients that inactivate the conventional strain of SARS-CoV-2. We reported that exposure of the virus to green tea, roasted green tea, oolong tea and black tea in vitro resulted in significant reduction of the virus infectivity. We also found that the tea catechin compound (−)- epigallocatechin gallate (EGCG) powerfully and rapidly inactivated the virus, which was also reported by other groups. Similar effects were also seen in black tea ingredients, galloylated theaflavins (theaflavin-3-O-gallate (TF3G), theaflavin-3’-O-gallate (TF3’G), and theaflavin-3,3’-O-digallate (TFDG)), and theasinensin A (TSA) that are derivatives of tea catechins. We also reported that the EGCG, TFDG and TSA interfered with the interaction between viral spike protein and ACE2 by binding to the spike protein receptor binding domain (RBD). However, it remains to be clarified whether these tea ingredients also inactivate the Omicron variants of SARS-CoV-2. Moreover, it has not been elucidated which amino acid substitutions in the Omicron subvariants may influence the binding of EGCG and TFDG to the spike protein.
In this study we examined the efficiencies of tea, tea catechins and catechin derivatives to inactivate the Omicron subvariant strains of the SARS-CoV-2. We also assessed whether saliva from healthy volunteers who consumed a candy containing green tea or black tea inactivates BA.1 in vitro.
新型コロナウイルス変異株のエリスとピロラは、それぞれ違う抗体を回避する能力を持っているため、棲み分けていることが分かったという分析。 https://t.co/6LQq8pJc9P
— Angama (@Angama_Market) September 29, 2023
There have been many experimental papers on BA.2.86 over last month. This one by David Ho's group is one of most comprehensive: https://t.co/iPWlTH8MEa
I'm going to quickly summarize key points for people having hard time keeping up w all the recent BA.2.86 papers.
— Bloom Lab (@jbloom_lab) September 28, 2023
1⃣ Serum neutralization of BA.2.86 roughly comparable to XBB.1.5, & comparable or slightly better than newer XBB variants like EG.5.1
Similar results (within few-fold) reported by other groups too, eg @yunlong_cao @BenjMurrell @BarouchLab @sigallab @ShanLuLiu1 @SystemsVirology
— Bloom Lab (@jbloom_lab) September 28, 2023
2⃣ But BA.2.86 escapes somewhat different antibodies than XBB variants: BA.2.86 has more escape from SD1 & RBD class 2/3 Abs, but less escape from RBD class 1/4 Abs
So maybe BA.2.86 & XBB have slightly different immunological "niches"
Also see: https://t.co/Nr34bwcbmL
— Bloom Lab (@jbloom_lab) September 28, 2023
Oh shit.
I mentioned before that I was worried that BA.2.86 would pick up S:456L because that is the one place where BA.2.86 is more sensitive to neutralizing antibodies than EG.5 and the like.
1/https://t.co/fXFjwHsO9Y— Marc Johnson (@SolidEvidence) September 27, 2023
This is @yunlong_cao data, but others have found the same. The mutation that gives EG.5 and HK.3 this resistance is S:F456L.
2/ pic.twitter.com/r8oehCm3TW— Marc Johnson (@SolidEvidence) September 27, 2023
I was expecting F456L because that is the change that usually appears first. It has shown up convergently at least 5 times in XBB backgrounds. F456L is often followed by the L455F (so called FLip), which presumably allows it to further escape class-1 antibodies.
3/— Marc Johnson (@SolidEvidence) September 27, 2023
I just realized that there is already a BA.2.86.1 sublineage with a mutation in this spot (L455S). There are only 4 sequence (from 4 different countries), but I bet there will be many more. This is almost certainly a class-1 escape mutation. Last hurdle.
4/— Marc Johnson (@SolidEvidence) September 27, 2023
What I'm trying to say is that this is a bad time to have a government shutdown.
5/5— Marc Johnson (@SolidEvidence) September 27, 2023
3⃣ BA.2.86 actually has better ACE2 affinity than BA.2 and XBB.1.5. Possibly this could impact transmissibility, and certainly it could impact tolerance for future antibody escape mutations.
This result has also been reported by @yunlong_cao: https://t.co/E1B4yxGO0b
— Bloom Lab (@jbloom_lab) September 28, 2023
4⃣ David Ho's paper speculates BA.2.86 may have more up (exposed) RBD based on RBD class 1/4 antibody neutralization & higher ACE2 affinity.
Note @yunlong_cao has speculated opposite based on cryo-EM (https://t.co/sKaOGVgoiW).
An interesting question for further investigation!
— Bloom Lab (@jbloom_lab) September 28, 2023
ウイルスにとって”見える”のは抗体の種類なのではないかと。
— Angama (@Angama_Market) October 3, 2023
本日の授業
36名中、ノーマスク32名
質問含め全て発言禁止を発令— 伊賀 治 (@osamu_iga) October 2, 2023
最近の学生ってそんなにおばかちゃんなの?
明日から見極めに入るけど、もう10-1st Surge始まっている可能性高いよ。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 2, 2023
ウチの学生を悪く言いたくないですが
良くも悪くも従順で流れに従います😔— 伊賀 治 (@osamu_iga) October 2, 2023
高校や高専ならまだ許容できますが、大学生でそれはダメですね。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 2, 2023
息子が通っている、首都圏の私大法学部ではほぼ8割がノーマスクだそうですよ。理学部も似たようなものだそうです。
— sue77 (@sue19786) October 2, 2023
圧倒的に「つけない」方の同調圧力が強いです。
正直、この中でマスクつける学生はかなり胆力あると思います。
— モジモジ (@mojimoji_x) October 3, 2023
沖縄は、本土と違い、夏の再燃の形での冬季秋季Surgeは起こりません。理由は、気温です。
夏の再燃の形での冬季秋季Surgeは、最低気温が15℃を割り込むとその徴候が現れ、1日平均気温15℃を割り込むと本格的に始まります。
沖縄の冬季Surgeは、新株によるもので例年12月以降に始まり本土へ北上します
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 2, 2023
10/1以降、統計の連続性が失われていますし、モデルナ推定はブラックボックス処理されていますので、下水サーベイランスと人口動態死亡統計が一級の資料ですね。
— Hiroshi Makita Ph.D. 誰が日本のコロナ禍を悪化させたのか?扶桑社8/18発売中 (@BB45_Colorado) October 2, 2023