Poster No:
2390
Submission Type:
Abstract Submission
Authors:
Meng Li1, Marina Krylova1, Lejla Colic1, Lena Danyeli2, Benjamin Giszas1, Gerd Wagner3, Nils Opel4, Daniel Güllmar1, Kathrin Finke1, Philipp Reuken1, Andreas Stallmach1, Martin Walter1, Bianca Besteher1
Institutions:
1Jena University Hospital, Jena, Germany, 2Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Thuringia, 3Jena University Hospital, Jena, Thuringia, 4Jena University Hospital, Germany, Jena, Germany
First Author:
Meng Li
Jena University Hospital
Jena, Germany
Co-Author(s):
Lena Danyeli
Department of Psychiatry and Psychotherapy, Jena University Hospital
Jena, Thuringia
Nils Opel
Jena University Hospital, Germany
Jena, Germany
Introduction:
The COVID-19 pandemic not only increases mortality and morbidity rates during the acute phase of infection but also impairs mental health in the post-infection period. The depressive symptoms post COVID infection share several demographic and clinical characteristics with major depressive disorder (MDD), particularly in its higher prevalence in women. Investigating the underlying mechanism of vulnerability to depression onset after COVID-19 infection in women would be in favor of its treatment. MDD is suggested to be associated with the imbalance of neurotransmitter metabolism, especially the excitatory neurotransmitter system including glutamate (Glu) and glutamine (Gln) (Luykx et al. 2012; Mitchell and Baker 2010; Yüksel and Öngür 2010; Moriguchi et al. 2019). Regionally specific alterations in glutamatergic neurotransmission have been reported in the anterior cingulate cortex (ACC) in MDD. A recent systematic review of neuroimaging studies revealed the ACC as one of the brain regions with sex differences in depression (Mohammadi et al. 2023). This study aims to investigate sex differences in distinct psychopathological features in COVID-19 survivors and their potential linkage with neurotransmitter metabolism in the pregenual anterior cingulate cortex (pgACC), which is crucial for the assessment of affective valence and reward-based learning (Phan et al. 2002; Rogers et al. 2004).
Methods:
For the investigation of sex differences in depressive symptoms, 603 COVID-19 survivors after acute infection after acute infection were included (390 women, mean age= 48 years and 213 men, mean age= 50 years). Fifty-six individuals with post-COVID symptoms underwent thorough psychometric phenotyping and completed magnetic resonance spectroscopy at 3T, assessing Glu and Gln levels in the pgACC using the Siemens PRESS MRS sequences. All participants had verified COVID-19 via real-time reverse transcriptase-polymerase chain reaction during acute infection. To assess neuropsychiatric symptoms, participants completed the Montreal Cognitive Assessment (MoCA) for cognitive impairment, the Short-Form-36 questionnaire (SF-36) for quality-of-life measures, the Montgomery-Asberg Depression Rating Scale (MADRS), and the Fatigue Assessment Scale (FAS) for symptoms of depression and fatigue. We conducted group comparisons and Pearson correlation tests to assess group by sex differences and their associations to Glu and Gln levels in R.
Results:
Our study revealed a significantly higher burden of mental health symptoms, especially depression, in women Post-COVID 19 survivors compared to men (Table 1). Psychometric phenotyping demonstrated a higher burden of depressive symptoms, fatigue, and subclinical stress, but not anhedonia, in women with long-COVID compared to men. Furthermore, depressive symptoms and reduced energy were linked to reduced Gln levels in the pgACC (MADRS: r= -0.49, p= 0.012; Energy, r= 0.45, p= 0.029). Notably, the Gln alteration in long-COVID participants were primarily driven by differences in women (p=0.01), not men (p = 0.52, Figure 1).

·Comparison of psychopathological phenotyping between female and male

·Comparison of pgACC glutamine concentration between controls and patients in female an male.
Conclusions:
In summary, we present evidence of distinct sex-specific features of long-COVID depression with an atypical symptom profile and lower Gln in the pgACC. Both features are likely connected to sex-specific persisting immunological alterations in long-COVID, leading to sickness behavior and limbic glutamatergic metabolism dysfunction.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 2
Novel Imaging Acquisition Methods:
MR Spectroscopy 1
Physiology, Metabolism and Neurotransmission :
Physiology, Metabolism and Neurotransmission Other
Keywords:
Glutamate
Infections
Magnetic Resonance Spectroscopy (MRS)
MR SPECTROSCOPY
Psychiatric Disorders
1|2Indicates the priority used for review
Provide references using author date format
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