Assessment of DHEAS, cortisol, and DHEAS/cortisol ratio in patients with COVID-19: a pilot study

Endogenous serum glucocorticoid concentrations, steroidogenic enzyme activity, and 90-day mortality in patients hospitalized with COVID-19: an observational cohort study

In the context of severe coronavirus disease 2019 (COVID-19) illness, we examined endogenous glucocorticoid concentrations, steroidogenic enzyme activity, and their correlation with inflammation and patient outcomes. This observational study included 125 hospitalized COVID-19 patients and 101 healthy individuals as a reference group. We utilized LC-MS to assess serum concentrations of 11-deoxycortisol, cortisol, and cortisone, as well as activities of steroidogenic enzymes (11β-hydroxylase and 11β-hydroxysteroid-dehydrogenase type 1). Cox proportional hazards regression analysis and competing risk analysis were employed to analyze associations between glucocorticoid concentrations and outcomes, adjusting for relevant factors. In patients with COVID-19, cortisol concentrations were higher and cortisone concentrations were lower compared to the reference group, while 11-deoxycortisol concentrations were similar. Steroidogenic enzyme activity favored cortisol production. Correlations between glucocorticoid concentrations and inflammatory markers were low. A doubling in concentrations cortisol, was associated with increased 90-day mortality and mechanical ventilation (HR: 2.40 95% CI: (1.03-5.59) , P = 0.042 and HR: 3.83 (1.19-12.31), P = 0.024). A doubling in concentrations of 11-deoxycortisol was also associated to mortality (HR: 1.32 (1.05-1.67), P = 0.018), whereas concentrations of cortisone were associated with mechanical ventilation (HR: 5.09 (1.49-17.40), P = 0.009). In conclusion, serum concentrations of glucocorticoid metabolites were altered in patients hospitalized with severe COVID-19, and steroidogenic enzyme activity resulting in the conversion of cortisone to biologically active cortisol was preserved, thus not favoring critical-illness-related corticosteroid insufficiency at the enzymatic level. Glucocorticoid release did not counterbalance the hyperinflammatory state in patients with severe COVID-19. High serum concentrations of 11-deoxycortisol and cortisol were associated with 90-day mortality, and high serum concentrations of cortisol and cortisone were associated with mechanical ventilation.

Sources and control of impurity during one-pot enzymatic production of dehydroepiandrosterone

Dehydroepiandrosterone (DHEA) has a promising market due to its capacity to regulate human hormone levels as well as preventing and treating various diseases. We have established a chemical esterification coupled biocatalytic-based scheme by lipase-catalyzed 4-androstene-3,17-dione (4-AD) hydrolysis to obtain the intermediate product 5-androstene-3,17-dione (5-AD), which was then asymmetrically reduced by a ketoreductase from Sphingomonas wittichii (SwiKR). Co-enzyme required for KR is regenerated by a glucose dehydrogenase (GDH) from Bacillus subtilis. This scheme is more environmentally friendly and more efficient than the current DHEA synthesis pathway. However, a significant amount of 4-AD as by-product was detected during the catalytic process. Focused on the control of by-products, we investigated the source of 4-AD and identified that it is mainly derived from the isomerization activity of SwiKR and GDH. Increasing the proportion of glucose in the catalytic system as well as optimizing the catalytic conditions drastically reduced 4-AD from 24.7 to 6.5% of total substrate amount, and the final yield of DHEA achieved 40.1 g/L. Furthermore, this is the first time that both SwiKR and GDH have been proved to be promiscuous enzymes with dehydrogenase and ketosteroid isomerase (KSI) activities, expanding knowledge of the substrate diversity of the short-chain dehydrogenase family enzymes. KEY POINTS: • A strategy of coupling lipase, ketoreductase, and glucose dehydrogenase in producing DHEA from 4-AD • Both SwiKR and GDH are identified with ketosteroid isomerase activity. • Development of catalytic strategy to control by-product and achieve highly selective DHEA production.

Serum Dehydroepiandrosterone sulfate (DHEA-S) level and its potential impact on immune responses and symptom severity after Oxford-AstraZeneca COVID-19 vaccination

BACKGROUND

Dehydroepiandrosterone sulfate (DHEA-S) has been associated with an immunomodulatory function. This study aims to explore the relationship between serum levels of DHEA-S and the immune responses triggered by the Oxford-AstraZeneca COVID-19 vaccine in individuals candidate for vaccination.

METHODS

Serum levels of DHEA-S, cytokine release, antibody production and virus neutralization potential were assessed in 50 male and 50 female subjects before and 2 weeks after vaccination with Oxford-AstraZeneca COVID-19 vaccine.

RESULTS

Level of DHEA-S before and 2 weeks after first and second dose of vaccination was not different significantly. Levels of Interleukin (IL)-2 and Interferon (IFN)-γ were significantly higher in the supernatant of peripheral blood mononuclear cells (PBMCs) obtained from subjects 2 weeks after both first and second dose of vaccination compared to before vaccination. Serum levels of IgM 2 weeks after first dose of vaccination was significantly higher compared to before first dose of vaccination. However, serum levels of IgG 2 weeks after first and second dose of vaccination were significantly higher compared to before first and second dose of vaccination. The 50 % focus reduction neutralization test (FRNT50) titer was significantly higher 2 weeks after both first and second dose of vaccination compared to before vaccination. Levels of DHEA-S did not have significant correlation with levels of IL-2, IFN-γ, IgM and IgG, and FRNT50 before and after first and second dose of vaccination. Vaccination did not result in intense unwanted clinical presentations.

CONCLUSION

DHEA-S is not involved in the quality of protective immune response during Oxford-AstraZeneca COVID-19 vaccination.

The impact of menopause and serum DHEA-S level on the severity of Covid-19

OBJECTIVES

We aimed to demonstrate the difference between premenopausal and postmenopausal women in respect of the clinical course and outcomes of Covid-19. We investigated the epidemiological and hormonal factors which influence the severity of the disease.

STUDY DESIGN

This observational cross-sectional study included the female patients admitted to a Covid-19 outpatient clinic between July 2020 and June 2021 and diagnosed with a positive polymerase chain reaction test. Blood samples were obtained to determine the serum levels of follicle stimulating hormone, luteinizing hormone, estradiol, total testosterone and dehydroepiandrosterone sulfate.

MAIN OUTCOME MEASURE

Our primary outcome was the poor clinical course of the disease in postmenopausal women. Our secondary outcome was the contribution of hormonal status to the clinical course of the disease.

RESULTS

Our cohort consisted of 253 female patients (85 with mild, 125 with moderate and 43 with severe disease; 101 at the premenopausal and 152 at the postmenopausal stage). There was a statistically significant difference between the patients in different severity groups regarding clinical data and serum levels of luteinizing hormone, follicle stimulating hormone, estradiol and dehydroepiandrosterone sulfate. Being one year younger decreased the odds of having severe Covid-19 0.338-fold relative to the group with mild disease. A decrease in the serum dehydroepiandrosterone sulfate level was associated with a 2.604-fold increase in the odds of having severe Covid-19 relative to the group with mild disease. Being postmenopausal increased the odds of having severe disease compared with mild disease by 2.687-fold.

CONCLUSIONS

The prognosis of Covid-19 is more favorable in premenopausal women compared with postmenopausal women. Age, postmenopausal status and serum levels of dehydroepiandrosterone sulfate are important predictors of the severity of Covid-19 for women.

IL-6 and Neutrophil/Lymphocyte Ratio as Markers of ICU Admittance in SARS-CoV-2 Patients with Diabetes

Inflammation along with coagulation disturbances has an essential role in the evolution towards a severe disease in patients with the coronavirus disease 2019 (COVID-19). This study aimed to evaluate inflammatory and coagulation biomarkers when predicting the need to visit an intensive care unit (ICU) in diabetes mellitus (DM) patients. In a retrospective study, laboratory parameters were examined for 366 participants: ICU = 90, of which 44 patients had DM and no ICU admittance = 276. The ability of inflammatory and coagulation markers to distinguish the severity of COVID-19 was determined using univariate and multivariate regression analysis. In all patients, lactate dehydrogenase was the only predictor for ICU admittance in the multivariate analysis. In the DM group, the results showed that the interleukin (IL)-6 and neutrophil/lymphocyte ratio (NLR) values at admission could predict the need for ICU admittance. Even though there were significant differences between the ICU and no ICU admittance groups regarding the coagulation markers, they could not predict the severity of the disease in DM patients. The present study showed for the first time that the IL-6 and NLR admission values could predict ICU admittance in DM patients. This finding could help clinicians manage the infection more easily if the COVID-19 pandemic strikes again.

Metabolomics-directed nanotechnology in viral diseases management: COVID-19 a case study

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently regarded as the twenty-first century's plague accounting for coronavirus disease 2019 (COVID-19). Besides its reported symptoms affecting the respiratory tract, it was found to alter several metabolic pathways inside the body. Nanoparticles proved to combat viral infections including COVID-19 to demonstrate great success in developing vaccines based on mRNA technology. However, various types of nanoparticles can affect the host metabolome. Considering the increasing proportion of nano-based vaccines, this review compiles and analyses how COVID-19 and nanoparticles affect lipids, amino acids, and carbohydrates metabolism. A search was conducted on PubMed, ScienceDirect, Web of Science for available information on the interrelationship between metabolomics and immunity in the context of SARS-CoV-2 infection and the effect of nanoparticles on metabolite levels. It was clear that SARS-CoV-2 disrupted several pathways to ensure a sufficient supply of its building blocks to facilitate its replication. Such information can help in developing treatment strategies against viral infections and COVID-19 based on interventions that overcome these metabolic changes. Furthermore, it showed that even drug-free nanoparticles can exert an influence on biological systems as evidenced by metabolomics.

Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers

The global COVID-19 pandemic resulted in widespread harms but also rapid advances in vaccine development, diagnostic testing, and treatment. As the disease moves to endemic status, the need to identify characteristic biomarkers of the disease for diagnostics or therapeutics has lessened, but lessons can still be learned to inform biomarker research in dealing with future pathogens. In this work, we test five sets of research-derived biomarkers against an independent targeted and quantitative Liquid Chromatography-Mass Spectrometry metabolomics dataset to evaluate how robustly these proposed panels would distinguish between COVID-19-positive and negative patients in a hospital setting. We further evaluate a crowdsourced panel comprising the COVID-19 metabolomics biomarkers most commonly mentioned in the literature between 2020 and 2023. The best-performing panel in the independent dataset-measured by F1 score (0.76) and AUROC (0.77)-included nine biomarkers: lactic acid, glutamate, aspartate, phenylalanine, β-alanine, ornithine, arachidonic acid, choline, and hypoxanthine. Panels comprising fewer metabolites performed less well, showing weaker statistical significance in the independent cohort than originally reported in their respective discovery studies. Whilst the studies reviewed here were small and may be subject to confounders, it is desirable that biomarker panels be resilient across cohorts if they are to find use in the clinic, highlighting the importance of assessing the robustness and reproducibility of metabolomics analyses in independent populations.

Changes in Cortisol Secretion and Corticosteroid Receptors in COVID-19 and Non COVID-19 Critically Ill Patients with Sepsis/Septic Shock and Scope for Treatment

Sepsis is associated with dysregulated cortisol secretion, leading to abnormal levels of cortisol in the blood. In the early stages of the condition, cortisol levels are typically elevated due to increased secretion from the adrenal glands. However, as the disease progresses, cortisol levels may decline due to impaired adrenal function, leading to relative adrenal insufficiency. The latter is thought to be caused by a combination of factors, including impaired adrenal function, decreased production of corticotropin-releasing hormone (CRH) and adrenocorticotropic hormone (ACTH) by the hypothalamus and pituitary gland, and increased breakdown of cortisol. The dysregulation of cortisol secretion in sepsis is thought to contribute to the pathophysiology of the disease by impairing the body's ability to mount an appropriate inflammatory response. Given the dysregulation of cortisol secretion and corticosteroid receptors in sepsis, there has been considerable interest in the use of steroids as a treatment. However, clinical trials have yielded mixed results and corticosteroid use in sepsis remains controversial. In this review, we will discuss the changes in cortisol secretion and corticosteroid receptors in critically ill patients with sepsis/septic shock. We will also make special note of COVID-19 patients, who presented a recent challenge for ICU management, and explore the scope for corticosteroid administration in both COVID-19 and non-COVID-19 septic patients.

A scoping review of regulatory T cell dynamics in convalescent COVID-19 patients - indications for their potential involvement in the development of Long COVID?

Background

Recovery from coronavirus disease 2019 (COVID-19) can be impaired by the persistence of symptoms or new-onset health complications, commonly referred to as Long COVID. In a subset of patients, Long COVID is associated with immune system perturbations of unknown etiology, which could be related to compromised immunoregulatory mechanisms.

Objective

The objective of this scoping review was to summarize the existing literature regarding the frequency and functionality of Tregs in convalescent COVID-19 patients and to explore indications for their potential involvement in the development of Long COVID.

Design

A systematic search of studies investigating Tregs during COVID-19 convalescence was conducted on MEDLINE (via Pubmed) and Web of Science.

Results

The literature search yielded 17 relevant studies, of which three included a distinct cohort of patients with Long COVID. The reviewed studies suggest that the Treg population of COVID-19 patients can reconstitute quantitatively and functionally during recovery. However, the comparison between recovered and seronegative controls revealed that an infection-induced dysregulation of the Treg compartment can be sustained for at least several months. The small number of studies investigating Tregs in Long COVID allowed no firm conclusions to be drawn about their involvement in the syndrome's etiology. Yet, even almost one year post-infection Long COVID patients exhibit significantly altered proportions of Tregs within the CD4+ T cell population.

Conclusions

Persistent alterations in cell frequency in Long COVID patients indicate that Treg dysregulation might be linked to immune system-associated sequelae. Future studies should aim to address the association of Treg adaptations with different symptom clusters and blood parameters beyond the sole quantification of cell frequencies while adhering to consensualized phenotyping strategies.