Chemical SensesNeurosciencePeer-reviewed journal article
Taste dysfunction in Long COVID
Hanna MoradiD, Tytti K. Vanhala, Marta Alina KisieliD, Agnes AndreasoniD, Mei LiiD, Göran AnderssoniD, Göran F. E. LaurelliD, Thomas E. FingeriD, Göran HellekantiD
Abstract
AbstractPersistent taste dysfunction is frequently reported in individuals with post-acute sequelae of infection by SARS-CoV-2 (Long COVID). The mechanisms and pathological correlates underlying this taste dysfunction are unknown. This study investigates the underlying pathology in 28 non-hospitalized subjects diagnosed with COVID-19 and who experienced taste disturbances more than 12 months after testing positive for SARS-CoV-2. To objectively establish the nature of taste deficit, we used the WETT taste test, which quantifies the subjects ability to taste each of the five taste qualities: sweet, umami, bitter, sour, and salty. We then biopsied five to eight fungiform taste papillae (FP) in 20 of the 28 subjects. The FPs were analyzed histologically for overall taste bud structure and innervation, and by quantitative PCR (qPCR) for mRNA expression of markers for different taste receptor cells. Although all subjects had reported taste dysfunction, only three showed overall taste scores below the 10th percentile for a normal population adjusted for age and sex. However, 11 of the 28 subjects exhibited total loss of one or more taste qualities. Loss of PLC{beta}2-dependent taste qualities (sweet, umami, bitter) was significantly more common and was correlated with reduced expression of PLC{beta}2 and Tas1R3 mRNAs. Histological analysis revealed generally preserved taste bud structure and innervation, but with occasional disorganized taste buds and abnormal, isolated PLC{beta}2-positive cells in the epithelium. Our findings suggest long-term taste dysfunction after COVID-19 occurs rarely -- more frequently involving PLC{beta}2-dependent taste qualities -- but is not due to wholesale disruption of the taste periphery.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 1
- FWCI
- 4.19
- Field percentile
- top 12%
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