New‑onset neuropsychiatric sequelae and ‘long‑COVID’ syndrome (Review)

Abstract:

The ongoing coronavirus disease 2019 (COVID‑19) pandemic has had a widespread impact on individuals’ mental health through indirect psychological and social mechanisms, related to factors such as fear of infection or death, social isolation, lack of social support and financial instability.
The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection has also been associated with the development or recurrence of neuropsychiatric symptoms, both during the acute phase, as well as during the post‑acute ‘long‑COVID’ phase. In addition to the COVID‑19 survivors with a mental health history that are at a high risk of experiencing a range of neuropsychiatric symptoms following resolution of acute COVID‑19, there is accumulating evidence that a diagnosis of COVID‑19 may also be associated with new‑onset neuropsychiatric morbidity among survivors without pre‑existing mental health disorders.
In particular, studies investigating the incidence of post‑acute neuropsychiatric sequelae, based mostly on retrospective cohort study designs and data from national health registries, have reported the development of new‑onset manifestations, including depression, anxiety, psychotic symptoms, sleep disturbances and fatigue. Nevertheless, when COVID‑19 survivors were compared with SARS‑CoV‑2‑negative controls and especially survivors of other disorders (such as influenza), the findings regarding the risk of incident neuropsychiatric manifestations varied among studies.
While there is evidence of an association between SARS‑CoV‑2 infection and the subsequent occurrence of new‑onset neuropsychiatric symptoms, especially among patients with increased disease severity, further research using methodological approaches less susceptible to confounding bias is required to establish causal relationships.
Source: Efstathiou, V., Stefanou, M., Demetriou, M., Siafakas, N., Katsantoni, E., Makris, M., Tsivgoulis, G., Zoumpourlis, V., Kympouropoulos, S. P., Tsoporis, J. N., Spandidos, D. A., Ferentinos, P., Smyrnis, N., Rizos, E.”New‑onset neuropsychiatric sequelae and ‘long‑COVID’ syndrome (Review)”. Experimental and Therapeutic Medicine 24.5 (2022): 705. https://www.spandidos-publications.com/10.3892/etm.2022.11641 (Full text available as PDF file)

Elevated vascular transformation blood biomarkers in Long-COVID indicate angiogenesis as a key pathophysiological mechanism

Abstract:

Background: Long-COVID is characterized by prolonged, diffuse symptoms months after acute COVID-19. Accurate diagnosis and targeted therapies for Long-COVID are lacking. We investigated vascular transformation biomarkers in Long-COVID patients.

Methods: A case–control study utilizing Long-COVID patients, one to six months (median 98.5 days) post-infection, with multiplex immunoassay measurement of sixteen blood biomarkers of vascular transformation, including ANG-1, P-SEL, MMP-1, VE-Cad, Syn-1, Endoglin, PECAM-1, VEGF-A, ICAM-1, VLA-4, E-SEL, thrombomodulin, VEGF-R2, VEGF-R3, VCAM-1 and VEGF-D.

Results: Fourteen vasculature transformation blood biomarkers were significantly elevated in Long-COVID outpatients, versus acutely ill COVID-19 inpatients and healthy controls subjects (P < 0.05). A unique two biomarker profile consisting of ANG-1/P-SEL was developed with machine learning, providing a classification accuracy for Long-COVID status of 96%. Individually, ANG-1 and P-SEL had excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, P < 0.0001; validated in a secondary cohort). Specific to Long-COVID, ANG-1 levels were associated with female sex and a lack of disease interventions at follow-up (P < 0.05).

Conclusions: Long-COVID patients suffer prolonged, diffuse symptoms and poorer health. Vascular transformation blood biomarkers were significantly elevated in Long-COVID, with angiogenesis markers (ANG-1/P-SEL) providing classification accuracy of 96%. Vascular transformation blood biomarkers hold potential for diagnostics, and modulators of angiogenesis may have therapeutic efficacy.

Source: Patel, M.A., Knauer, M.J., Nicholson, M. et al. Elevated vascular transformation blood biomarkers in Long-COVID indicate angiogenesis as a key pathophysiological mechanism. Mol Med 28, 122 (2022). https://doi.org/10.1186/s10020-022-00548-8 https://molmed.biomedcentral.com/articles/10.1186/s10020-022-00548-8 (Full text)

Increased levels of inflammatory molecules in blood of Long COVID patients point to thrombotic endotheliitis

Abstract:

The prevailing hypotheses for the persistent symptoms of Long COVID have been narrowed down to immune dysregulation and autoantibodies, widespread organ damage, viral persistence, and fibrinaloid microclots (entrapping numerous inflammatory molecules) together with platelet hyperactivation. Here we demonstrate significantly increased concentrations of Von Willebrand Factor, platelet factor 4, serum amyloid A, alpha-2-antiplasmin E-selectin, and platelet endothelial cell adhesion molecule-1, in the soluble part of the blood.

It was noteworthy that the mean level of alpha-2-antiplasmin exceeded the upper limit of the laboratory reference range in Long COVID patients, and the other 5 were significantly elevated in Long COVID patients as compared to the controls. This is alarming if we take into consideration that a significant amount of the total burden of these inflammatory molecules has previously been shown to be entrapped inside fibrinolysis-resistant microclots (thus decreasing the apparent level of the soluble molecules). We also determined that by individually adding E-selectin and PECAM-1 to healthy blood, these molecules may indeed be involved in protein-protein interactions with plasma proteins (contributing to microclot formation) and platelet hyperactivation. This investigation was performed as a laboratory model investigation and the final exposure concentration of these molecules was chosen to mimic concentrations found in Long COVID.

We conclude that presence of microclotting, together with relatively high levels of six inflammatory molecules known to be key drivers of endothelial and clotting pathology, points to thrombotic endotheliitis as a key pathological process in Long COVID. This has implications for the choice of appropriate therapeutic options in Long COVID.

Source: Simone Turner, Caitlin Naidoo, Thomas Usher, Arneaux Kruger, Chantelle Venter, Gert J Laubscher, M Asad Khan, Douglas B Kell, Etheresia Pretorius. Increased levels of inflammatory molecules in blood of Long COVID patients point to thrombotic endotheliitis. medRxiv 2022.10.13.22281055; doi: https://doi.org/10.1101/2022.10.13.22281055 (Full text available as PDF file)

New symptoms and prevalence of postacute COVID-19 syndrome among nonhospitalized COVID-19 survivors

Abstract:

The aim of this study was to assess postacute coronavirus disease 2019 (COVID-19) syndrome (PACS) symptoms according to the onset of the infection while evaluating the effect of COVID-19 vaccination on the symptoms of PACS. We conducted a retrospective single-center cohort study in which nonhospitalized COVID-19 survivors and healthy controls were compared for the occurrence of PACS.

The total number of patients in this study was 472. At 6–12 and > 12 months after the infection, COVID-19 survivors had a significantly higher incidence of posttraumatic stress disorder (PTSD) and anxiety than the non-COVID-19 cohort. Furthermore, depression, cognitive deficit, tics, impaired quality of life and general health impairment were significantly more prevalent among COVID-19 survivors at < 6 months, 6–12 months and > 12 months than in the non-COVID-19 cohort. However, respiratory symptoms were significantly more prevalent among COVID-19 survivors only in the first 6 months after infection.

In addition, cognitive deficit (OR = 0.15; 95% CI 0.03–0.87) and impaired quality of life (B = − 2.11; 95% CI − 4.21 to − 0.20) were significantly less prevalent among vaccinated COVID-19 survivors than among nonvaccinated survivors.

Longitudinal studies are needed to establish the time that should elapse after COVID-19 infection for the symptoms of PACS to appear. Randomized clinical trials are needed to assess the possibility that COVID-19 vaccines might relieve PACS symptoms.

Source: Albtoosh, A.S., Toubasi, A.A., Al Oweidat, K. et al. New symptoms and prevalence of postacute COVID-19 syndrome among nonhospitalized COVID-19 survivors. Sci Rep 12, 16921 (2022). https://doi.org/10.1038/s41598-022-21289-y  (Full text)

A new clinical challenge: Supporting patients coping with the long-term effects of COVID-19

Abstract:

Mental Health Practitioners (MHPs) have a unique opportunity to provide resources and support to those suffering from Long COVID (LC), the post infectious illness that often follows an acute SARS-CoV-2 infection. In working with these individuals, MHPs can learn from the experiences of patients with another post-infectious disease known as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). ME/CFS was once thought to be a psychologically mediated disorder caused by deconditioning and the fear of exertion following a precipitating event such as a viral infection. Research now shows that LC and ME/CFS are biomedical, multisystem, complex physiologic diseases. This article provides a framework to MHPs for the treatment of LC patients using knowledge derived from three decades of research on ME/CFS.

Source: Neal C. Goldberg, Sabrina Poirier, Allison Kanas, Lisa McCorkell, Carrie Anna McGinn, Yochai Re’em, Kathi Kuehnel, Nina Muirhead, Tahlia Ruschioni, Susan Taylor-Brown & Leonard A. Jason (2022) A new clinical challenge: supporting patients coping with the long-term effects of COVID-19, Fatigue: Biomedicine, Health & Behavior, DOI: 10.1080/21641846.2022.2128576 (Full text)

Biomarkers in the diagnostic algorithm of myalgic encephalomyelitis/chronic fatigue syndrome

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disease that is mainly diagnosed based on its clinical symptoms. Biomarkers that could facilitate the diagnosis of ME/CFS are not yet available; therefore, reliable and clinically useful disease indicators are of high importance. The aim of this work was to analyze the association between ME/CFS clinical course severity, presence of HHV-6A/B infection markers, and plasma levels of autoantibodies against adrenergic and muscarinic acetylcholine receptors.

A total of 134 patients with ME/CFS and 33 healthy controls were analyzed for the presence of HHV-6A/B using PCRs, and antibodies against beta2-adrenergic receptors (β2AdR) and muscarinic acetylcholine receptors (M3 AChR and M4 AChR) using ELISAs. HHV-6A/B U3 genomic sequence in whole-blood DNA was detected in 19/31 patients with severe ME/CFS, in 18/73 moderate ME/CFS cases, and in 7/30 mild ME/CFS cases. Severity-related differences were found among those with a virus load of more than 1,000 copies/106 PBMCs.

Although no disease severity-related differences in anti-β2AdR levels were observed in ME/CFS patients, the median concentration of these antibodies in plasma samples of ME/CFS patients was 1.4 ng/ml, while in healthy controls, it was 0.81 ng/ml, with a statistically significant increased level in those with ME/CFS (p = 0.0103). A significant difference of antibodies against M4 AChR median concentration was found between ME/CFS patients (8.15 ng/ml) and healthy controls (6.45 ng/ml) (p = 0.0250). The levels of anti-M4 plotted against disease severity did not show any difference; however, increased viral load correlates with the increase in anti-M4 level.

ME/CFS patients with high HHV-6 load have a more severe course of the disease, thus confirming that the severity of the disease depends on the viral load—the course of the disease is more severe with a higher viral load. An increase in anti-M4 AchR and anti-β2AdR levels is detected in all ME/CFS patient groups in comparison to the control group not depending on ME/CFS clinical course severity. However, the increase in HHV-6 load correlates with the increase in anti-M4 level, and the increase in anti-M4 level, in turn, is associated with the increase in anti-β2AdR level. Elevated levels of antibodies against β2AdR and M4 receptors in ME/CFS patients support their usage as clinical biomarkers in the diagnostic algorithm of ME/CFS.

Source: Gravelsina S, Vilmane A, Svirskis S, Rasa-Dzelzkaleja S, Nora-Krukle Z, Vecvagare K, Krumina A, Leineman I, Shoenfeld Y and Murovska M (2022) Biomarkers in the diagnostic algorithm of myalgic encephalomyelitis/chronic fatigue syndrome. Front. Immunol. 13:928945. doi: 10.3389/fimmu.2022.928945 https://www.frontiersin.org/articles/10.3389/fimmu.2022.928945/full (Full text)

Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing

Background: Since the beginning of the COVID-19 pandemic, over 480 million people have been infected and more than 6 million people have died from COVID-19 worldwide. In some patients with acute COVID-19, symptoms manifest over a longer period, which is also called “long-COVID.” Unmet medical needs related to long-COVID are high, since there are no treatments approved. Patients experiment with various medications and supplements hoping to alleviate their suffering. They often share their experiences on social media.

Objective: The aim of this study was to explore the feasibility of social media mining methods to extract important compounds from the perspective of patients. The goal is to provide an overview of different medication strategies and important agents mentioned in Reddit users’ self-reports to support hypothesis generation for drug repurposing, by incorporating patients’ experiences.

Methods:We used named-entity recognition to extract substances representing medications or supplements used to treat long-COVID from almost 70,000 posts on the “/r/covidlonghaulers” subreddit. We analyzed substances by frequency, co-occurrences, and network analysis to identify important substances and substance clusters.

Results: The named-entity recognition algorithm achieved an F1 score of 0.67. A total of 28,447 substance entities and 5789 word co-occurrence pairs were extracted. “Histamine antagonists,” “famotidine,” “magnesium,” “vitamins,” and “steroids” were the most frequently mentioned substances. Network analysis revealed three clusters of substances, indicating certain medication patterns.

Conclusions: This feasibility study indicates that network analysis can be used to characterize the medication strategies discussed in social media. Comparison with existing literature shows that this approach identifies substances that are promising candidates for drug repurposing, such as antihistamines, steroids, or antidepressants. In the context of a pandemic, the proposed method could be used to support drug repurposing hypothesis development by prioritizing substances that are important to users.

Source: Koss J, Bohnet-Joschko S. Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing. JMIR Form Res. 2022 Oct 3;6(10):e39582. doi: 10.2196/39582. PMID: 36007131; PMCID: PMC9531770. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531770/ (Full text)

Post-Acute Effect of SARS-CoV-2 Infection on the Cardiac Autonomic Function

Abstract:

Background: Recent studies reported a long-lasting effect of COVID-19 infection that extends beyond the active disease and disrupts various body systems besides the respiratory system. The current study aims to investigate the post-acute effect of SARS-CoV-2 infection on cardiovascular autonomic activity, reactivity and sensitivity in patients who had the infection at least 3 months before.

Methods: This was a comparative cross-sectional observational study. Fifty-nine subjects were allocated into two groups, controls (n=31), who had no history of positive COVID-19 infection, and the post-COVID patients (n=28) who were recruited 3 to 8 months after testing positive for SARS-CoV-2 by reverse transcription polymerase chain reaction (RT-PCR). Baseline cardiovascular autonomic activity was evaluated through recording of baseline heart rate variability (HRV), autonomic reactivity was determined through standard cardiovascular autonomic reflex tests (CART), and cardiac autonomic sensitivity was assessed through cardiac baroreceptor sensitivity (cBRS).

Results: Higher incidence of orthostatic hypotension was observed in post-COVID patients compared to controls (39.3% and 3.2%, respectively, p <0.001). Additionally, significantly reduced handgrip test, and heart rate response to head-up tilt was illustrated in the post-COVID group (p <0.001). About 85.7% of post-COVID participants had at least one abnormal cardiovascular reflex test (CART) compared to the control group (p <0.001). Although HRV parameters (TP, LF, HF, SDRR, RMSSD, pRR50), and the cBRS were numerically lower in the post-COVID-19 group, this did not reach the level of significance.

Conclusion: The results of the present study are suggestive of altered cardiovascular reactivity in post-acute COVID patients and demand further investigation and longer term follow up.

Post-Viral Fatigue in COVID-19: A Review of Symptom Assessment Methods, Mental, Cognitive, and Physical Impairment

Abstract:

Coronavirus 2 is responsible for Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2), and the main sequela is persistent fatigue. Post-viral fatigue is common and affects patients with mild, asymptomatic coronavirus disease-2019 (COVID-19). However, the exact mechanisms involved in developing post-COVID-19 fatigue remain unclear. Furthermore, physical and cognitive impairments in these individuals have been widely described. Therefore, this review aims to summarize and propose tools from a multifaceted perspective to assess COVID-19 infection.

Herein, we point out the instruments that can be used to assess fatigue in long-term COVID-19: fatigue in a subjective manner or fatigability in an objective manner. For physical and mental fatigue, structured questionnaires were used to assess perceived symptoms, and physical and cognitive performance assessment tests were used to measure fatigability using reduced performance.

Source: Campos MC, Nery T, Starke AC, de Bem Alves AC, Speck AE, Junior ASA. Post-Viral Fatigue in COVID-19: A Review of Symptom Assessment Methods, Mental, Cognitive, and Physical Impairment. Neurosci Biobehav Rev. 2022 Oct 3:104902. doi: 10.1016/j.neubiorev.2022.104902. Epub ahead of print. PMID: 36202253; PMCID: PMC9528075. https://www.sciencedirect.com/science/article/pii/S0149763422003918 (Full text)

Exploring the lived experience of Long Covid in black and minority ethnic groups in the UK: Protocol for qualitative interviews and art-based methods

Abstract:

Some people experience prolonged symptoms following an acute COVID-19 infection including fatigue, chest pain and breathlessness, headache and cognitive impairment. When symptoms persist for over 12 weeks following the initial infection, and are not explained by an alternative diagnosis, the term post-COVID-19 syndrome is used, or the patient-defined term of Long Covid. Understanding the lived experiences of Long Covid is crucial to supporting its management. However, research on patient experiences of Long Covid is currently not ethnically diverse enough.

The study aim is to explore the lived experience of Long Covid, using qualitative interviews and art-based methods, among people from ethnically diverse backgrounds (in the UK), to better understand wider systems of support and healthcare support needs. Co-created artwork will be used to build on the interview findings. A purposive sampling strategy will be used to gain diverse experiences of Long Covid, sampling by demographics, geographic locations and experiences of Long Covid. Individuals (aged >18 years) from Black and ethnic minority backgrounds, who self-report Long Covid symptoms, will be invited to take part in a semi-structured interview.

Interviews will be analysed thematically. A sub-sample of participants will be invited to co-create visual artwork to further explore shared narratives of Long Covid, enhance storytelling and increase understanding about the condition. A patient advisory group, representing diversity in ethnicity and experiences of Long Covid, will inform all research stages. Stakeholder workshops with healthcare professionals and persons, systems or networks important to people’s management of Long Covid, will advise on the integration of findings to inform management of Long Covid. The study will use patient narratives from people from diverse ethnic backgrounds, to raise awareness of Long Covid and help inform management of Long Covid and how wider social systems and networks may inform better healthcare service access and experiences.

Source: Smyth N, Alwan NA, Band R, Chaudhry A, Chew-Graham CA, Gopal D, Jackson M, Kingstone T, Wright A, Ridge D. Exploring the lived experience of Long Covid in black and minority ethnic groups in the UK: Protocol for qualitative interviews and art-based methods. PLoS One. 2022 Oct 3;17(10):e0275166. doi: 10.1371/journal.pone.0275166. PMID: 36191007; PMCID: PMC9529129. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529129/ (Full text)