The influence of bitter-taste receptor (TAS2R) expression in pharmacological response to Chloroquine in obese patients with COVID-19

Watanabe, Lígia Moriguchi; Pires, Izabella Ferreira; Noronha, Natália Yumi; Pinhel, Marcela Augusta de Souza; Nonino, Carla Barbosa

doi:10.6061/clinics/2020/e2181

Cited by 4 publications

(6 citation statements)

References 20 publications

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“…Our analyses identify four genetic variants (in/near TAS2R1 , ZBTB16 , LINC01320 , and NCAM1 ) (Jansen et al, 2022; Laudanski et al, 2021; Mastropasqua et al, 2021; Morsy, 2020; Shelton et al, 2021; Watanabe et al, 2020) that have been reported with COVID‐19 outcomes.…”

Section: Resultsmentioning

confidence: 84%

“…In addition, recent studies have been conducted that reduced TAS2R expression may influence the response to Chloroquine. COVID‐19‐infected obese patients could respond differently to pharmacological therapy with Chloroquine, with side effects occurring more frequently as a result of overdosage (Watanabe et al, 2020). Moreover, the rs180899355 is in the same region as a variant rs148943015 in TAS2R gene, specifically rs148943015, which is reported to be associated with COVID‐19 susceptibility and severity (Shelton et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

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Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank

Liu

Dai

Wang

et al. 2023

Genetic Epidemiology

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Analysis of host genetic components provides insights into the susceptibility and response to viral infection such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). To reveal genetic determinants of susceptibility to COVID-19 related mortality, we train a deep learning model to identify groups of genetic variants and their interactions that contribute to the COVID-19 related mortality risk using the UK Biobank data (28,097 affected cases and 1656 deaths). We refer to such groups of variants as super variants. We identify 15 super variants with various levels of significance as susceptibility loci for COVID-19 mortality. Specifically, we identify a super variant (odds ratio [OR] = 1.594, p = 5.47 × 10 −9 ) on Chromosome 7 that consists of the minor allele of rs76398985, rs6943608, rs2052130, 7:150989011_CT_C, rs118033050, and rs12540488. We also discover a super variant (OR = 1.353, p = 2.87 × 10 −8 ) on Chromosome 5 that contains rs12517344, rs72733036, rs190052994, rs34723029, rs72734818, 5:9305797_GTA_G, and rs180899355.

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Section: Resultsmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank

Liu

Dai

Wang

et al. 2023

Genetic Epidemiology

View full text Add to dashboard Cite

show abstract

“…Our analyses identify 4 genetic variants (in/near TAS2R1, ZBTB16, LINC01320 and NCAM1 ) [11, 27-31] that have been reported with COVID-19 outcomes.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, recent studies have been conducted that reduced TAS2R expression may influence the response to Chloroquine. COVID-19 infected obese patients could respond differently to pharmacological therapy with Chloroquine, with side effects occurring more frequently as result of overdosage [27]. Moreover, the rs180899355 is in the same region as a variant rs148943015 in TAS2R gene, specifically rs148943015, which is reported to be associated with COVID-19 susceptibility and severity [11].…”

Section: Supervariantsmentioning

confidence: 99%

Deep learning identified genetic variants associated with COVID-19 related mortality

Dai

Wang

et al. 2022

Preprint

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Analysis of host genetic components provides insights into the susceptibility and response to viral infection such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). To reveal genetic determinants of susceptibility to COVID-19 related mortality, we train a deep learning model to identify groups of genetic variants and their interactions that contribute to the COVID-19 related mortality risk using the UK Biobank data. We refer to such groups of variants as super variants. We identify 15 super variants with various levels of significance as susceptibility loci for COVID-19 mortality. Specifically, we identify a super variant (OR=1.594, p=5.47×10−9) on Chromosome 7 that consists of the minor allele of rs76398985, rs6943608, rs2052130, 7:150989011_CT_C, rs118033050 and rs12540488. We also discover a super variant (OR=1.353, p=2.87×10−8) on Chromosome 5 that contains rs12517344, rs72733036, rs190052994, rs34723029, rs72734818, 5:9305797_GTA_G and rs180899355.

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“…Given the known role in upper and lower airway immunity, recent studies have implicated that severity of SARS‐CoV2 in adults can be predicted based on their T2R38 expression 19,20 . This interaction between T2R38 expression and SARS‐CoV2 disease has also led to investigation of chloroquine, a known T2R agonist, as a possible treatment COVID‐19 21 . Obesity is a well‐established risk factor for severe SAR‐CoV‐2 infections in adults, 22 and several studies have found that obesity status alters TAS2R expression in oral and extraoral tissues 23,24 …”

Section: Introductionmentioning

confidence: 99%

ACE2 and TAS2R38 receptor expression in pediatric and adult patients in the nasal and oral cavity

Franks,

Nandakumar,

Santhanam

et al. 2024

Laryngoscope Investig Oto

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ObjectiveTo investigate differences in angiotensin‐converting‐enzyme‐2 (ACE2) and bitter taste receptor (TAS2R38) expression between patient age groups and comorbidities to characterize the pathophysiology of coronavirus 19(COVID‐19) pandemic. ACE2 is the receptor implicated to facilitate SARS‐CoV‐2 infections and levels of expression may correlate to the severity of COVID‐19 infection. TAS2R38 has many non‐gustatory roles in disease, with some evidence of severe COVID‐19 disease in certain receptor phenotypes.MethodsWe conducted a prospective cohort study and collected nasal and lingual tissue from healthy pediatric (n = 22) and adult (n = 25) patients undergoing general anesthesia for elective procedures. RNA isolation and qPCR were performed with primers targeting ACE2 and TAS2R38.ResultsA total of 25 adult (52% male; 44% obese) and 22 pediatric (50% male; 36% obese) patients were enrolled, pediatric tissue had 43% more nasal ACE2 RNA expression than adults with a median fold change of 0.69 (IQR 0.37, 0.98) in adults and 0.99 (IQR 0.74, 1.43) in children (p < .05). There were no differences between the age groups in ACE2 expression of lingual tissue (p = .14) or TAS2R38 expression collected from either nasal (p = 049) or lingual tissue (p = .49). Stratifying for obesity yielded similar differences between nasal ACE2 expression between adults and children with median fold change of 0.56 (IQR 0.32, 0.87) in adults and 1.0 (IQR 0.82, 1.52) in children (p < .05).ConclusionsACE2 receptor expression is higher in nasal tissue collected from children compared to adults, suggesting COVID‐19 infectivity is more complicated than ACE2 and TAS2R38 mRNA expression.Level of EvidenceNA.

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The influence of bitter-taste receptor (TAS2R) expression in pharmacological response to Chloroquine in obese patients with COVID-19

Cited by 4 publications

References 20 publications

Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank

Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank

Deep learning identified genetic variants associated with COVID-19 related mortality

ACE2 and TAS2R38 receptor expression in pediatric and adult patients in the nasal and oral cavity

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