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Saturday, November 20, 2021

Autophagy: The Potential Link between SARS-CoV-2 and Cancer

 

 1,

 2,3,4,

 5,

 6,*,

 7 and

 5,8,9,*

DOI:  https://doi.org/10.3390/cancers13225721

PDF: https://www.mdpi.com/2072-6694/13/22/5721/pdf


Coronavirus disease 2019 (COVID-19) has led to a global crisis. With the increasing number of individuals infected worldwide, the long-term consequences of this disease have become an active area of research. The constellation of symptoms COVID-19 survivors suffer from is commonly referred to as post-acute COVID-19 syndrome in the scientific literature. In this paper, we discuss the potential long-term complications of this infection resulting from the persistence of the viral particles in body tissues interacting with host cells’ autophagy machinery in the context of the development of cancer, cancer progression and metastasis, as well as response to treatment. We also propose a structured framework for future studies to investigate the potential impact of COVID-19 infection on cancer.

Abstract

COVID-19 infection survivors suffer from a constellation of symptoms referred to as post-acute COVID-19 syndrome. However, in the wake of recent evidence highlighting the long-term persistence of SARS-CoV-2 antigens in tissues and emerging information regarding the interaction between SARS-CoV-2 proteins and various components of the host cell macroautophagy/autophagy machinery, the unforeseen long-term consequences of this infection, such as increased risk of malignancies, should be explored. Although SARS-CoV-2 is not considered an oncogenic virus, the possibility of increased risk of cancer among COVID-19 survivors cannot be ruled out. Herein, we provide an overview of the possible mechanisms leading to cancer development, particularly obesity-related cancers (e.g., colorectal cancer), resulting from defects in autophagy and the blockade of the autophagic flux, and also immune escape in COVID-19 survivors. We also highlight the potential long-term implications of COVID-19 infection in the prognosis of patients with cancer and their response to different cancer treatments. Finally, we consider future directions for further investigations on this matter.

Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2

 

 and 



PDF: https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2021.1651

Abstract

Back and forth transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between humans and animals will establish wild reservoirs of virus that endanger long-term efforts to control COVID-19 in people and to protect vulnerable animal populations. Better targeting surveillance and laboratory experiments to validate zoonotic potential requires predicting high-risk host species. A major bottleneck to this effort is the few species with available sequences for angiotensin-converting enzyme 2 receptor, a key receptor required for viral cell entry. We overcome this bottleneck by combining species' ecological and biological traits with three-dimensional modelling of host-virus protein–protein interactions using machine learning. This approach enables predictions about the zoonotic capacity of SARS-CoV-2 for greater than 5000 mammals—an order of magnitude more species than previously possible. Our predictions are strongly corroborated by in vivo studies. The predicted zoonotic capacity and proximity to humans suggest enhanced transmission risk from several common mammals, and priority areas of geographic overlap between these species and global COVID-19 hotspots. With molecular data available for only a small fraction of potential animal hosts, linking data across biological scales offers a conceptual advance that may expand our predictive modelling capacity for zoonotic viruses with similarly unknown host ranges.

(a) Captive, farmed or domesticated species

Given that contact with humans fundamentally underlies transmission risk, it is notable that our model predicted high zoonotic capacity for multiple captive species that have also been confirmed as susceptible to SARS-CoV-2. These include numerous carnivores, such as large cats from multiple zoos and pet dogs and cats. Our model also predicted high SARS-CoV-2 zoonotic capacity for many farmed and domesticated species. The water buffalo (Bubalus bubalis), widely kept for dairy and plowing, had the highest probability of zoonotic capacity among livestock (0.91). Model predictions in the 90th percentile also included American mink (Neovison vison), red fox (Vulpes vulpes), sika deer (Cervus nippon), white-lipped peccary (Tayassu pecari), nilgai (Boselaphus tragocamelus) and raccoon dogs (Nyctereutes procyonoides), all of which are farmed. The escape of farmed individuals into wild populations has implications for the enzootic establishment of SARS-CoV-2 [33]. These findings also have implications for vaccination strategies, for instance, prioritizing people in contact with potential bridge species (e.g. slaughterhouse workers, farmers, veterinarians).

(b) Live traded or hunted wildlife species

The Macaca genus comprised the majority of live-traded primates. Our model predicted high zoonotic capacity for all Macaca species (20/21 species, with all species within the top 10% of predictions except M. assamensis). Several live-traded carnivores and pangolins were also assigned high zoonotic capacity, including the Asiatic black bear (Ursus thibetanus), grey wolf (Canis lupus) and jaguar (Panthera onca), and the Philippine pangolin (Manis culionensis) and Sunda pangolin (M. javanica). One of the betacoronaviruses with the highest sequence similarity to SARS-CoV-2 was isolated from Sunda pangolins [70]. Interestingly, pangolin burrows are known to be occupied by other animal species, including numerous bats [71].

Commonly hunted species in the top 10% of predictions include duiker (Cephalophus zebra, West Africa), warty pig (Sus celebes, Southeast Asia) and two deer (Odocoileus hemionus and O. virginianus, Americas). The white-tailed deer (O. virginianus) was recently confirmed to transmit SARS-CoV-2 to conspecifics via aerosolized virus particles [72].

(c) Bats

Our model identified 35 bat species within the 90th percentile of zoonotic capacity. Within the genus Rhinolophus, our model identified the large rufous horseshoe bat (Rhinolophus rufus) as having the highest probability of zoonotic capacity (0.89). Rhinolophus rufus is a known natural host for bat betacoronaviruses [73] and a congener to three other horseshoe bats harbouring betacoronaviruses with high nucleotide sequence similarity to SARS-CoV-2 (approx. 92–96%) [6,74,75]. For these other three species, our model assigned a range of probabilities for SARS-CoV-2 zoonotic capacity (Rhinolophus affinis (0.58), R. malayanus (0.70) and R. shameli (0.71)) and also predicted relatively high probabilities for two congeners, Rhinolophus acuminatus (0.84) and Rmacrotis (0.70). These predictions agree with recent experiments demonstrating efficient viral binding of SARS-CoV-2 RBD for R. macrotis [76] and confirmation of SARS-CoV-2-neutralizing antibodies in field-caught R. acuminatus harbouring a closely related betacoronavirus [77].

Our model also identified 17 species in the genus Pteropus (flying foxes) with high probabilities of zoonotic capacity for SARS-CoV-2. Some of these species are confirmed reservoirs of other zoonotic viruses (e.g. henipaviruses in P. lyleiP. vampyrusP. conspicillatus and P. alecto), with Southeast Asia also having the most mammal species with a high predicted zoonotic capacity (figure 4). Annual outbreaks attributed to spillover transmission from bats illustrate a persistent epizootic risk to humans [7880] and confirm that gaps in systematic surveillance of zoonotic viruses, including betacoronaviruses, remain an urgent priority (e.g. [81]).

(d) Rodents

Our model identified 76 rodent species with high zoonotic capacity. Among these are the deer mouse (Peromyscus maniculatus) and white-footed mouse (P. leucopus), which are reservoirs for multiple zoonotic pathogens and parasites in North America [8284]. Experimental infection, viral shedding and sustained intraspecific transmission of SARS-CoV-2 were recently confirmed for P. maniculatus [65,66]. Also in the top 10% were two rodents considered to be human commensals whose geographic ranges are expanding due to human activities: Rattus argentiventer (0.84) and R. tiomanicus (0.79) (electronic supplementary material, file S1) [8587]. It is notable that many of these rodent species are preyed upon by carnivores, such as the red fox (Vulpes vulpes) or domestic cats (Felis catus) who themselves were predicted to have high zoonotic capacity by our model.

https://royalsocietypublishing.org/doi/10.1098/rspb.2021.1651

Humoral immune response after COVID-19 infection or BNT162b2 vaccine in older adults: evolution over time

 Maxence Meyer, Florentin Constancias, Claudia Worth, Anita Meyer, Marion Muller, Alexandre Boussuge, Georges Kaltenbach, Elise Schmitt, Said Chayer, Aurelie Velay, Thomas Vogel, Samira Fafi-Kremer, Patrick Karcher

COVID-19: stigmatising the unvaccinated is not justified

 

PDF: https://www.thelancet.com/action/showPdf?pii=S0140-6736%2821%2902243-1

In the USA and Germany, high-level officials have used the term pandemic of the unvaccinated, suggesting that people who have been vaccinated are not relevant in the epidemiology of COVID-19. Officials’ use of this phrase might have encouraged one scientist to claim that “the unvaccinated threaten the vaccinated for COVID-19”. But this view is far too simple.
There is increasing evidence that vaccinated individuals continue to have a relevant role in transmission. In Massachusetts, USA, a total of 469 new COVID-19 cases were detected during various events in July, 2021, and 346 (74%) of these cases were in people who were fully or partly vaccinated, 274 (79%) of whom were symptomatic. Cycle threshold values were similarly low between people who were fully vaccinated (median 22·8) and people who were unvaccinated, not fully vaccinated, or whose vaccination status was unknown (median 21·5), indicating a high viral load even among people who were fully vaccinated. In the USA, a total of 10 262 COVID-19 cases were reported in vaccinated people by April 30, 2021, of whom 2725 (26·6%) were asymptomatic, 995 (9·7%) were hospitalised, and 160 (1·6%) died. In Germany, 55·4% of symptomatic COVID-19 cases in patients aged 60 years or older were in fully vaccinated individuals, and this proportion is increasing each week. In Münster, Germany, new cases of COVID-19 occurred in at least 85 (22%) of 380 people who were fully vaccinated or who had recovered from COVID-19 and who attended a nightclub. People who are vaccinated have a lower risk of severe disease but are still a relevant part of the pandemic. It is therefore wrong and dangerous to speak of a pandemic of the unvaccinated. Historically, both the USA and Germany have engendered negative experiences by stigmatising parts of the population for their skin colour or religion. I call on high-level officials and scientists to stop the inappropriate stigmatisation of unvaccinated people, who include our patients, colleagues, and other fellow citizens, and to put extra effort into bringing society together.
I declare no competing interests.

Metformin Suppresses SARS-CoV-2 in Cell Culture

 Dixit Tandel, Haripriya Parthasarathy, 

Krishnan Harinivas Harshan