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10.3389/fimmu.2021.720192 http://scihub22266oqcxt.onion/10.3389/fimmu.2021.720192 34456928!8397524!34456928     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Immunol 2021 ; 12 (ä): 720192 Nephropedia Template TP {{tp|p=34456928|t=2021. DAMPening COVID-19 Severity by Attenuating Danger Signals |pdf=|usr=}}{{34456928}} gab.com Text DAMPening COVID-19 Severity by Attenuating Danger Signals JO: Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34456928 #FOAvip COVID-19 might lead to multi-organ failure and, in some cases, to death. The COVID-19 severity is associated with a "cytokine storm." Danger-associated molecular patterns (DAMPs) are proinflammatory molecules that can activate pattern recognition receptors, such as toll-like receptors (TLRs). DAMPs and TLRs have not received much attention in COVID-19 but can explain some of the gender-, weight- and age-dependent effects. In females and males, TLRs are differentially expressed, likely contributing to higher COVID-19 severity in males. DAMPs and cytokines associated with COVID-19 mortality are elevated in obese and elderly individuals, which might explain the higher risk for severer COVID-19 in these groups. Adenosine signaling inhibits the TLR/NF-kappaB pathway and, through this, decreases inflammation and DAMPs' effects. As vaccines will not be effective in all susceptible individuals and as new vaccine-resistant SARS-CoV-2 mutants might develop, it remains mandatory to find means to dampen COVID-19 disease severity, especially in high-risk groups. We propose that the regulation of DAMPs via adenosine signaling enhancement might be an effective way to lower the severity of COVID-19 and prevent multiple organ failure in the absence of severe side effects. Twit Text FOAVip DAMPening COVID-19 Severity by Attenuating Danger Signals ????Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34456928 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34456928 #FOAvip English Wikipedia <ref>{{Cite pmid|34456928}}</ref> DAMPening COVID-19 Severity by Attenuating Danger Signals #MMPMID34456928 Silva-Lagos LA; Pillay J; van Meurs M; Smink A; van der Voort PHJ; de Vos P Front Immunol 2021[]; 12 (ä): 720192 PMID34456928show ga COVID-19 might lead to multi-organ failure and, in some cases, to death. The COVID-19 severity is associated with a "cytokine storm." Danger-associated molecular patterns (DAMPs) are proinflammatory molecules that can activate pattern recognition receptors, such as toll-like receptors (TLRs). DAMPs and TLRs have not received much attention in COVID-19 but can explain some of the gender-, weight- and age-dependent effects. In females and males, TLRs are differentially expressed, likely contributing to higher COVID-19 severity in males. DAMPs and cytokines associated with COVID-19 mortality are elevated in obese and elderly individuals, which might explain the higher risk for severer COVID-19 in these groups. Adenosine signaling inhibits the TLR/NF-kappaB pathway and, through this, decreases inflammation and DAMPs' effects. As vaccines will not be effective in all susceptible individuals and as new vaccine-resistant SARS-CoV-2 mutants might develop, it remains mandatory to find means to dampen COVID-19 disease severity, especially in high-risk groups. We propose that the regulation of DAMPs via adenosine signaling enhancement might be an effective way to lower the severity of COVID-19 and prevent multiple organ failure in the absence of severe side effects. |Adenosine/metabolism[MESH] |Alarmins/antagonists & inhibitors/*immunology[MESH] |Animals[MESH] |COVID-19/complications/immunology/*physiopathology/therapy[MESH] |Humans[MESH] |Inflammation Mediators/antagonists & inhibitors/*immunology[MESH] |Inflammation/prevention & control[MESH] |Multiple Organ Failure/etiology/prevention & control[MESH] |Patient Acuity[MESH] |Signal Transduction[MESH]DAMPening COVID-19 Severity by Attenuating Danger Signals (epmc).pdf DeepDyve Pubget Overpricing