Background: Long COVID is an under-characterized disorder that affects a wide range of individuals after COVID-19 resolution. Long COVID individuals report persistent neurological manifestations, such as anxiety. Understanding its effects in the brain might help uncover the actual burden imposed by the pandemic sequelae and either define or discard long COVID as a risk factor for neurodegenerative diseases. Here, we aim to identify whether there is an association between brain metabolism and anxiety in an underrepresented population.
Method: Community-dwelling individuals, above 50 years old, from Porto Alegre, Brazil, were divided into long COVID (n = 39) and control groups (n = 10) were evaluated with a battery of neuropsychological testing, including the GAD-7 scale of anxiety. Then, they underwent a brain [18F]FDG-PET scan (images normalized by the pons). We conducted a voxel-wise linear regression testing the association between [18F]FDG metabolism and GAD-7, and corrected for education, sex, and age. The analysis was corrected for multiple comparisons using the cluster-wise random field theory method (significant t←3.34 and t>3.34, p<0.001, df = 35).
Result: We found that GAD-7 score presented a widespread negative association with [18F]FDG metabolism in multiple gray and white matter regions (Figure 1). Specifically, hippocampus (tmax = -3.34, p = 0.002), amygdala (tmax = -3.82, p = 0.0005), cerebellum (tmax = -4.28, p = 0.0001), and lateral occipitotemporal gyrus (tmax = -5.26, p = 0.0001) had the most relevant associated clusters in gray matter, while temporal lobe (tmax = -3.9, p = 0.0004) and frontal lobe (tmax = -4.33, p = 0.0001) presented the most relevant associated clusters in white matter.
Conclusion: Anxiety symptoms are a highly self-reported symptom in long COVID. Here we show that anxiety is widely associated with reduced brain glucose metabolism in crucial areas for the limbic system and cognition, such as the hippocampus and amygdala. The peculiar associations between anxiety and FDG metabolism in white matter may suggest inflammatory responses triggered by long COVID. These data provide new insights into the mechanisms underlying long COVID symptoms in the brain.
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http://dx.doi.org/10.1002/alz.094142 | DOI Listing |
BMC Geriatr
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Background: The long-term sequelae of coronavirus disease 2019 (COVID-19) and its recovery have becoming significant public health concerns. Therefore, this study aimed to enhance the limited evidence regarding the relationship between sleep quality on long COVID among the older population aged 60 years or old.
Methods: Our study included 4,781 COVID-19 patients enrolled from April to May 2023, based on the Peking University Health Cohort.
BMC Infect Dis
January 2025
Department of Pulmonology, Semmelweis University, Budapest, Hungary.
Background: Post-COVID condition (PCC) is characterized by persisting symptoms after the resolution of acute COVID-19. Remdesivir (RDV), a broad-spectrum antiviral drug, has been widely used in patients hospitalized with COVID-19 requiring oxygen therapy. We aimed to evaluate the effects of RDV on PCC by assessing patient-reported and functional outcomes.
View Article and Find Full Text PDFSci Rep
January 2025
Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, Japan.
Phytotoxic air pollutants such as atmospheric nitrogen dioxide (NO) are among the major stresses affecting tree photosynthesis in urban areas. We clarified the relationship between NO concentrations and photosynthetic function for three major urban trees, Prunus × yedoensis, Rhododendron pulchrum, and Ginkgo biloba, planted in Kyoto and surrounding cities, combining our published data and new data collected from 2020 to 2023. High NO increased long-term water use efficiency for all species.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Statistics, University of Manitoba, Winnipeg, Manitoba, Canada.
Objective: Many individuals exposed to SARS-CoV-2 experience long-term symptoms as part of a syndrome called post-COVID condition (PCC). Research on PCC is still emerging but is urgently needed to support diagnosis, clinical treatment guidelines and health system resource allocation. In this study, we developed a method to identify PCC cases using administrative health data and report PCC prevalence and predictive factors in Manitoba, Canada.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Department of Biomaterials, Saveetha Dental College and Hospitals, SIMATS, Saveetha University, Chennai, 600077, India. Electronic address:
Detection of viruses, including coronavirus (SARS-CoV-2), via facile, fast, and optical methods is highly important to control pandemics. In this regard, optically-active nanomaterials and nanoparticles (NPs) are a wise choice due to their long-term stability, ease of functionalization, and modifications. In this work, a nanocomposite based on NiFe layered double hydroxide (LDH) and ZIF-67 metal-organic framework (MOF) was designed and synthesized, and decorated on the surface of the melt-blown mask.
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