COVID-19 and autoimmune diseases: is there a connection?

Cocamidopropyl betaine: another possible oral healthcare chemical associated with plasma cell lesions of the oral cavity

OBJECTIVE

To examine the apparent increase in plasma cell lesions of the oral cavity over the course of the past two decades and to propose a possible explanation and therapeutic approach for a subset of these cases.

STUDY DESIGN

Data from cases evaluated at the University of Iowa Surgical Oral Pathology Laboratory (UI-SOP) between July 2003 and May 2024 were retrospectively reviewed to analyze demographics, clinical presentations, and trends in the incidence of these lesions. Additionally, a subset of clinical cases seen at the Oral Pathology Clinic from 2023 to 2024 was examined to explore a potential association with the use of cocamidopropyl betaine (CAPB)-containing toothpaste.

RESULTS

A total of 61 cases were retrieved from UI-SOP archive and analyzed. An increase in the histopathologic diagnoses of oral plasma cell lesions was observed. The clinical case series would seem to indicate CAPB as a possible additional chemical associated with plasma cell gingivitis.

CONCLUSIONS

Eliminating the CAPB-containing toothpaste appeared to be a predictable reason for resolution of the gingival/mucosal phenotype in multiple patients. Further collection of cases in a controlled prospective manner may be helpful in confirming the association.

Insights into the Correlation and Immune Crosstalk Between COVID-19 and Sjögren's Syndrome Keratoconjunctivitis Sicca via Weighted Gene Coexpression Network Analysis and Machine Learning

Background: Although autoimmune complications of COVID-19 have aroused concerns, there is no consensus on its ocular complications. Sjögren's syndrome is an autoimmune disease accompanied by the ocular abnormality keratoconjunctivitis sicca (SS-KCS), which may be influenced by COVID-19. Thereby, we explored the possible interaction between COVID-19 and SS-KCS, and we aimed to elucidate the potential correlated mechanism. Methods: Differentially expressed genes (DEGs) in COVID-19 and SS-KCS transcriptome data obtained from the gene expression omnibus database were identified, and COVID-19-related genes were screened using weighted gene coexpression network analysis. Common genes were verified using four machine-learning diagnostic predictors. The clinical relationship between the two common hub genes of COVID-19 was analyzed. Finally, the immune cell types infiltrating the microenvironment in the COVID-19 dataset were analyzed using CIBERSORT, and the interrelation between key genes and differentially infiltrating immune cells was verified via Pearson correlation. Results: Ten potential primary hub mRNAs were screened by intersecting the COVID-19 DEGs, SS-KCS DEGs, and WGCNA genes. After a multifaceted evaluation using four mainstream machine-learning diagnostic predictors, the most accurate and sensitive random forest model identified CR1 and TAP2 as the common hub genes of COVID-19 and SS-KCS. Together with the clinical information on COVID-19, the expression of CR1 and TAP2 was significantly correlated with the status and severity of COVID-19. CR1 and TAP2 were significantly positively correlated with M0 and M2 macrophages, neutrophils, and CD4+ memory resting T cells and negatively correlated with activated NK cells, monocytes, and CD8+ T cells. Conclusions: We validated the hub genes associated with both COVID-19 and SS-KCS, and we investigated the immune mechanisms underlying their interaction, which may help in the early prediction, identification, diagnosis, and management of SARS-CoV-2 infection-related SS-KCS syndrome or many other immune-related complications in the long COVID period.

COVID-19 on patients with immune-mediated rheumatic disease: a comparative study of disease activity, fatigue, and psychological distress over six months

OBJECTIVES

To compare the impact of COVID-19 on the clinical status and psychological distress of patients with immune-mediated rheumatic disease (IMRD) caused by SARS-CoV-2 infection with that of noninfected IMRD controls during a 6-month follow-up period.

METHODS

The ReumaCoV Brazil is a longitudinal study designed to follow IMRD patients for 6 months after COVID-19 (patients) compared with IMRD patients without COVID-19 (controls). Clinical data, disease activity measurements and current treatments regarding IMRD and COVID-19 outcomes were evaluated in all patients. Disease activity was assessed through validated tools at inclusion and at 3 and 6 months post-COVID-19. Fatigue, using FACIT-F (Functional Assessment of Chronic Illness Therapy) and psychological distress, using DASS 21 (Depression, Anxiety and Stress Scale - 21 Items), used to evaluated psychological distress, were evaluated at 6 months after COVID-19 in both groups. The significance level was set as p < 0.05, with a 95% confidence interval.

RESULTS

A total of 601 patients were evaluated-321 patients (IMRD COVID-19 + patients) and 280 controls (IMRD COVID-19- patients)-who were predominantly female with similar median ages. Disease activity assessment over a 6-month follow-up showed no significant difference between cases and controls. Although the mean activity scores did not differ significantly, some patients reported worsened disease activity post-COVID-19, particularly in rheumatoid arthritis (RA) (32.2%) and systemic lupus erythematosus (SLE) patients (23.3%). Post-COVID-19 worsening in RA patients correlated with medical global assessment (MGA) and CDAI scores, with a moderate to large effect size. Diabetes mellitus showed a positive association (OR = 7.15), while TNF inhibitors had a protective effect (OR = 0.51). Fatigue, depression, anxiety, and stress were significantly greater in patients than in controls. Worse disease activity post-COVID-19 correlated with worse FACIT-F and DASS-21 scores in RA patients. No significant associations were found between COVID-19 outcomes and post-COVID-19 disease activity, FACIT-F or DASS-21.

CONCLUSIONS

Post-COVID-19 IMRD patients exhibited significant fatigue, depression, anxiety, and stress, which can be mistaken for disease activity, despite having similar disease activity scores. The variability in reports on IMRD flares and the potential triggering of SARS-CoV-2 for autoimmune manifestations underscore the need for detailed clinical assessment and a comprehensive approach to managing them.

Environment, Lifestyles, and Climate Change: The Many Nongenetic Contributors to The Long and Winding Road to Autoimmune Diseases

A critical unanswered question is what is causing the increase in the prevalence of autoimmunity and autoimmune diseases around the world. Given the rapidity of change, this is likely the result of major recent alterations in our exposures to environmental risk factors for these diseases. More evidence is becoming available that the evolution of autoimmune disease, years or even decades in the making, results from multiple exposures that alter susceptible genomes and immune systems over time. Exposures during sensitive phases in key developmental or hormonal periods may set the stage for the effects of later exposures. It is likely that synergistic and additive impacts of exposure mixtures result in chronic low-level inflammation. This inflammation may eventually pass thresholds that lead to immune system activation and autoimmunity, and with further molecular and pathologic changes, the complete clinical syndrome emerges. Much work remains to be done to define the mechanisms and risk and protective factors for autoimmune conditions. However, evidence points to a variety of pollutants, xenobiotics, infections, occupational exposures, medications, smoking, psychosocial stressors, changes in diet, obesity, exercise, and sleep patterns, as well as climate change impacts of increased heat, storms, floods, wildfires, droughts, UV radiation, malnutrition, and changing infections, as possible contributors. Substantial investments in defining the role of causal factors, in whom and when their effects are most important, the necessary and sufficient gene-environment interactions, improved diagnostics and therapies, and preventive strategies are needed now to limit the many negative personal, societal, and financial impacts that will otherwise occur.

The Role of Transbronchial Cryobiopsy in the Detection of Pulmonary Graft-versus-Host Disease

INTRODUCTION

We investigated the incidence of chronic pulmonary complications in allogeneic hematopoietic cell transplantation (HCT) recipients and analyzed the role of transbronchial cryobiopsy (cryoTBB) as a tool to determine the nature of pulmonary changes and to guide clinical decisions.

METHODS

Patients who survived at least 6 months post HCT were included in the study. Pulmonary functional tests (PFTs) were performed in all patients as a screening tool. In case of abnormal results computed tomography (CT) was done to verify inflammatory changes and the presence of air trapping. Next, patients were qualified for microbiological analysis of bronchoalveolar lavage fluid. If the results of noninvasive tests were inconclusive, cryoTBB was performed.

RESULTS

Among 186 patients, we identified 13 cases (7%) with abnormal PFTs. Mild, moderate, and severe chronic graft-versus-host disease (GvHD) was diagnosed in 1 (8%), 6 (46%), and 2 (15%) patients, respectively. Four (31%) patients did not present any manifestations of cGvHD at FEV1 decline. Eight 8 (62%) patients met the bronchiolitis obliterans syndrome criteria, 5 (48%) had restrictive disease, or mixed phenotype based on PFTs, only in 1 case air trapping was present in CT. Pulmonary GvHD was confirmed by cryoTBB histopathology in 5 of 11 (45%) cases. Immunosuppression was either stopped or decreased in 6 patients with negative results for GvHD with further clinical improvement.

CONCLUSION

CryoTBB can be a helpful tool to verify the cause of chronic pulmonary complications in the HCT population. Based on negative biopsy results, some patients may benefit from immunosupressive therapy discontinuation or reduction to mitigate recurrences of infectious complications and further lung destruction.

A case of COVID-19-associated C-ANCA vasculitis, was successfully treated with rituximab therapy

Both C-anti-neutrophil cytoplasmic antibody (ANCA) and P-ANCA vasculitis were reported to be associated with COVID-19 infection. The ideal management of COVID-19-associated ANCA vasculitis is unclear, as the experiences were limited to case reports. We presented a case of COVID-19-associated C-ANCA vasculitis, successfully treated with steroids and rituximab therapy without any significant adverse reactions.

New-onset sarcoidosis in a patient with long COVID

Long COVID, often following SARS-CoV-2 infection, may stem from sustained inflammation, overlapping with autoimmune diseases like sarcoidosis. Though specific treatments lack, this link could shape future diagnostic and therapeutic methods.

Prevalence and factors associated with thyroid autoimmunity among children newly diagnosed with type 1 diabetes before and during the COVID-19 pandemic: Evidence from Kuwait

AIMS

This study reports the prevalence and characteristics related to the development of thyroid autoimmunity among children newly diagnosed with type I diabetes (T1D) during the COVID-19 pandemic in Kuwait.

MATERIALS AND METHODS

This is a prospective observational study of all children under age 14 years newly diagnosed with T1D in Kuwait. We define the duration of the COVID-19 pandemic from the official declaration of the first identified positive COVID-19 case on 24 February 2020 until 31 December 2022. For comparison, we use the time period directly before the COVID-19 pandemic, 1 January 2017 to 23 February 2020.

RESULTS

One thousand twenty-four (1024) children newly diagnosed with T1D in Kuwait during the study period were included. Among newly diagnosed children, 20.3% tested positive for thyroid antibodies during the COVID-19 pandemic, compared with 14.5% during the pre-pandemic period (p = 0.015). Children with positive COVID-19 status were more likely to present with thyroid antibodies (p = 0.035). After adjusting for other characteristics, patients diagnosed with T1D during the COVID-19 pandemic had double the odds of testing positive for thyroid antibodies (Adjusted odds ratio = 2.173, 95%CI: 1.108, 4.261, p = 0.024).

CONCLUSIONS

Incident cases of T1D during the COVID-19 pandemic may be different in aetiology or contextual factors leading to a higher risk of thyroid autoimmunity. Longitudinal studies are needed to understand the role of COVID-19 in the onset and progression of T1D and on thyroid autoimmunity and disease.

In Silico and In Vitro Evaluation of the Molecular Mimicry of the SARS-CoV-2 Spike Protein by Common Short Constituent Sequences (cSCSs) in the Human Proteome: Toward Safer Epitope Design for Vaccine Development

Spike protein sequences in SARS-CoV-2 have been employed for vaccine epitopes, but many short constituent sequences (SCSs) in the spike protein are present in the human proteome, suggesting that some anti-spike antibodies induced by infection or vaccination may be autoantibodies against human proteins. To evaluate this possibility of "molecular mimicry" in silico and in vitro, we exhaustively identified common SCSs (cSCSs) found both in spike and human proteins bioinformatically. The commonality of SCSs between the two systems seemed to be coincidental, and only some cSCSs were likely to be relevant to potential self-epitopes based on three-dimensional information. Among three antibodies raised against cSCS-containing spike peptides, only the antibody against EPLDVL showed high affinity for the spike protein and reacted with an EPLDVL-containing peptide from the human unc-80 homolog protein. Western blot analysis revealed that this antibody also reacted with several human proteins expressed mainly in the small intestine, ovary, and stomach. Taken together, these results showed that most cSCSs are likely incapable of inducing autoantibodies but that at least EPLDVL functions as a self-epitope, suggesting a serious possibility of infection-induced or vaccine-induced autoantibodies in humans. High-risk cSCSs, including EPLDVL, should be excluded from vaccine epitopes to prevent potential autoimmune disorders.

Traumatic Brain Injury in the Long-COVID Era

Major determinants of the biological background or reserve, such as age, biological sex, comorbidities (diabetes, hypertension, obesity, etc.), and medications (e.g., anticoagulants), are known to affect outcome after traumatic brain injury (TBI). With the unparalleled data richness of coronavirus disease 2019 (COVID-19; ∼375,000 and counting!) as well as the chronic form, long-COVID, also called post-acute sequelae SARS-CoV-2 infection (PASC), publications (∼30,000 and counting) covering virtually every aspect of the diseases, pathomechanisms, biomarkers, disease phases, symptomatology, etc., have provided a unique opportunity to better understand and appreciate the holistic nature of diseases, interconnectivity between organ systems, and importance of biological background in modifying disease trajectories and affecting outcomes. Such a holistic approach is badly needed to better understand TBI-induced conditions in their totality. Here, I briefly review what is known about long-COVID/PASC, its underlying-suspected-pathologies, the pathobiological changes induced by TBI, in other words, the TBI endophenotypes, discuss the intersection of long-COVID/PASC and TBI-induced pathobiologies, and how by considering some of the known factors affecting the person's biological background and the inclusion of mechanistic molecular biomarkers can help to improve the clinical management of TBI patients.

Mid-Regional Proadrenomedullin in COVID-19-May It Act as a Predictor of Prolonged Cardiovascular Complications?

The rising prevalence of cardiovascular disease (CVD) and the impact of the SARS-CoV-2 pandemic have both led to increased mortality rates, affecting public health and the global economy. Therefore, it is essential to find accessible, non-invasive prognostic markers capable of identifying patients at high risk. One encouraging avenue of exploration is the potential of mid-regional proadrenomedullin (MR-proADM) as a biomarker in various health conditions, especially in the context of CVD and COVID-19. MR-proADM presents the ability to predict mortality, heart failure, and adverse outcomes in CVD, offering promise for improved risk assessment and treatment strategies. On the other hand, an elevated MR-proADM level is associated with disease severity and cytokine storms in patients with COVID-19, making it a predictive indicator for intensive care unit admissions and mortality rates. Moreover, MR-proADM may have relevance in long COVID, aiding in the risk assessment, triage, and monitoring of individuals at increased risk of developing prolonged cardiac issues. Our review explores the potential of MR-proADM as a predictor of enduring cardiovascular complications following COVID-19 infection.

Knowledge mapping of COVID-19 and autoimmune diseases: a visual and bibliometric analysis

BACKGROUND

Many studies have shown an association between COVID-19 and autoimmune diseases (ADs). Studies on COVID-19 and ADs have also increased significantly, but there is no bibliometric analysis to summarize the association between COVID-19 and ADs. The purpose of this study was to perform a bibliometric and visual analysis of published studies related to COVID-19 and ADs.

METHODS

Based on the Web of Science Core Collection SCI-Expanded database, we utilize Excel 2019 and visualization analysis tools Co-Occurrence13.2 (COOC13.2), VOSviewer, CiteSpace, and HistCite for analysis.

RESULTS

A total of 1736 related kinds of papers were included, and the number of papers presented an overall increasing trend. The country/region with the most publications is the USA, the institution is the Harvard Medical School, the author is Yehuda Shoenfeld from Israel, and the journal is Frontiers in Immunology. Research hotspots include immune responses (such as cytokines storm), multisystem ADs (such as systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis), treatment modalities (such as hydroxychloroquine, rituximab), vaccination and autoimmune mechanisms (such as autoantibodies, molecular mimicry). The future research direction may be the mechanisms and treatment ideas of the association between ADs and COVID-19 (such as NF-κB, hyperinflammation, antiphospholipid antibodies, neutrophil extracellular traps, granulocyte-macrophage colony-stimulating factor), other cross-diseases of COVID-19 and ADs (such as inflammatory bowel disease, chronic mucocutaneous candidiasis, acute respiratory distress syndrome).

CONCLUSION

The growth rate of publications regarding ADs and COVID-19 has risen sharply. Our research results can help researchers grasp the current status of ADs and COVID-19 research and find new research directions in the future.

Deciphering the crosstalk of immune dysregulation between COVID-19 and idiopathic inflammatory myopathy

Background

The coronavirus disease (COVID-19) pandemic is a serious threat to public health worldwide. Growing evidence reveals that there are certain links between COVID-19 and autoimmune diseases; in particular, COVID-19 and idiopathic inflammatory myopathies (IIM) have been observed to be clinically comorbid. Hence, this study aimed to elucidate the molecular mechanisms of COVID-19 and IIM from a genomic perspective.

Methods

We obtained transcriptome data of patients with COVID-19 and IIM separately from the GEO database and identified common differentially expressed genes (DEGs) by intersection. We then performed functional enrichment, PPI, machine learning, gene expression regulatory network, and immune infiltration analyses of co-expressed genes.

Results

A total of 91 common genes were identified between COVID-19 and IIM. Functional enrichment analysis revealed that these genes were mainly involved in immune dysregulation, response to external stimuli, and MAPK signaling pathways. The MCODE algorithm recognized two densely linked clusters in the common genes, which were related to inflammatory factors and interferon signaling. Subsequently, three key genes (CDKN1A, IFI27, and STAB1) were screened using machine learning to predict the occurrence of COVID-19 related IIM. These key genes exhibited excellent diagnostic performance in both training and validation cohorts. Moreover, we created TF-gene and miRNA-gene networks to reveal the regulation of key genes. Finally, we estimated the relationship between key genes and immune cell infiltration, of which IFI27 was positively associated with M1 macrophages.

Conclusion

Our work revealed common molecular mechanisms, core genes, potential targets, and therapeutic approaches for COVID-19 and IIM from a genomic perspective. This provides new ideas for the diagnosis and treatment of COVID-19 related IIM in the future.

Immunosensors for Autoimmune-Disease-Related Biomarkers: A Literature Review

Immunosensors are a special class of biosensors that employ specific antibodies for biorecognition of the target analyte. Immunosensors that target disease biomarkers may be exploited as tools for disease diagnosis and/or follow-up, offering several advantages over conventional analytical techniques, such as rapid and easy analysis of patients' samples at the point-of-care. Autoimmune diseases have been increasingly prevalent worldwide in recent years, while the COVID-19 pandemic has also been associated with autoimmunity. Consequently, demand for tools enabling the early and reliable diagnosis of autoimmune diseases is expected to increase in the near future. To this end, interest in immunosensors targeting autoimmune disease biomarkers, mainly, various autoantibodies and specific pro-inflammatory proteins (e.g., specific cytokines), has been rekindled. This review article presents most of the immunosensors proposed to date as potential tools for the diagnosis of various autoimmune diseases, such as type 1 diabetes, rheumatoid arthritis, and multiple sclerosis. The signal transduction and the immunoassay principles of each immunosensor have been suitably classified and are briefly presented along with certain sensor elements, e.g., special nano-sized materials used in the construction of the immunosensing surface. The main concluding remarks are presented and future perspectives of the field are also briefly discussed.

SARS-CoV-2 Positive Serology and Islet Autoantibodies in Newly Diagnosed Pediatric Cases of Type 1 Diabetes Mellitus: A Single-Center Cohort Study

Acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, although presenting less severe forms of the disease in children, seems to play a role in the development of other conditions, including type 1 diabetes mellitus (T1DM). After the beginning of the pandemic, an increase in the number of T1DM pediatric patients was observed in several countries, thus leading to many questions about the complex relationship between SARS-CoV-2 infection and T1DM. Our study aimed to highlight possible correlations between SARS-CoV-2 serology and T1DM onset. Therefore, we performed an observational retrospective cohort study that included 158 children diagnosed with T1DM in the period April 2021-April 2022. The presence or absence of SARS-CoV-2 and T1DM-specific antibodies and other laboratory findings were assessed. In the group of patients with positive SARS-CoV-2 serology, a higher percentage had detectable IA-2A antibodies, more children were positive for all three islet autoantibodies determined (GADA, ICA, and IA-2A), and a higher mean HbA1c value was found. No difference existed between the two groups regarding DKA presence and severity. A lower C-peptide level was found in the patients presenting diabetic ketoacidosis (DKA) at T1DM onset. When compared to a group of patients diagnosed before the pandemic, an increased incidence of both DKA and severe DKA, as well as a higher age at diagnosis and higher levels of HbA1c were present in our study group. These findings have important implications for the ongoing monitoring and management of children with T1DM after the COVID-19 pandemic and highlight the need for further research to better understand the complex relationship between SARS-CoV-2 infection and T1DM.

SARS-CoV-2-Induced Myocarditis: A State-of-the-Art Review

In this review, we investigated whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can directly cause myocarditis with severe myocardial damage induced by viral particles. A review of the major data published from 2020 to 2022 was performed by consulting the major databases alongside first-hand experiences that emerged from the cardiac biopsies and autopsy examinations of patients who died of SARS-CoV-2 infections. From this study, a significantly large amount of data suggests that the Dallas criteria were met in a residual percentage of patients, demonstrating that SARS-CoV-2 myocarditis was a rare clinical and pathological entity that occurred in a small percentage of subjects. All cases described here were highly selected and subjected to autopsies or endomyocardial biopsies (EMBs). The most important discovery, through the detection of the SARS-CoV-2 genome using the polymerase chain reaction, consisted in the presence of the viral genome in the lung tissue of most of the patients who died from COVID-19. However, the discovery of the SARS-CoV-2 viral genome was a rare event in cardiac tissue from autopsy findings of patients who died of myocarditis It is important to emphasize that myocardial inflammation alone, as promoted by macrophages and T cell infiltrations, can be observed in noninfectious deaths and COVID-19 cases, but the extent of each cause is varied, and in neither case have such findings been reported to support clinically relevant myocarditis. Therefore, in the different infected vs. non-infected samples examined, none of our findings provide a definitive histochemical assessment for the diagnosis of myocarditis in the majority of cases evaluated. We report evidence suggesting an extremely low frequency of viral myocarditis that has also been associated with unclear therapeutic implications. These two key factors strongly point towards the use of an endomyocardial biopsy to irrefutably reach a diagnosis of viral myocarditis in the context of COVID-19.

Conundrum for Psoriasis and Thyroid Involvement

Strategies concerning thyroid anomalies in patients confirmed with psoriasis, either on clinical level or molecular levels, and their genetic findings remain an open issue. Identification of the exact subgroup of individuals that are candidates to endocrine assessments is also controversial. Our purpose in this work was to overview clinical and pathogenic data concerning psoriasis and thyroid comorbidities from a dual perspective (dermatologic and endocrine). This was a narrative review of English literature between January 2016 and January 2023. We included clinically relevant, original articles with different levels of statistical evidence published on PubMed. We followed four clusters of conditions: thyroid dysfunction, autoimmunity, thyroid cancer, and subacute thyroiditis. A new piece of information in this field was the fact that psoriasis and autoimmune thyroid diseases (ATD) have been shown to be related to the immune-based side effects of modern anticancer drugs-namely, immune checkpoint inhibitors (ICP). Overall, we identified 16 confirmatory studies, but with heterogeneous data. Psoriatic arthritis had a higher risk of positive antithyroperoxidase antibodies (TPOAb) (25%) compared to cutaneous psoriasis or control. There was an increased risk of thyroid dysfunction versus control, and hypothyroidism was the most frequent type of dysfunction (subclinical rather than clinical), among thyroid anomalies correlated with >2-year disease duration, peripheral > axial and polyarticular involvement. With a few exceptions, there was a female predominance. Hormonal imbalance included, most frequently, low thyroxine (T4) and/or triiodothyronine (T3) with normal thyroid stimulating hormone (TSH), followed by high TSH (only one study had higher total T3). The highest ratio of thyroid involvement concerning dermatologic subtypes was 59% for erythrodermic psoriasis. Most studies found no correlation between thyroid anomalies and psoriasis severity. Statistically significant odds ratios were as follows: hypothyroidism: 1.34-1.38; hyperthyroidism: 1.17-1.32 (fewer studies than hypo); ATD: 1.42-2.05; Hashimoto's thyroiditis (HT): 1.47-2.09; Graves' disease: 1.26-1.38 (fewer studies than HT). A total of 8 studies had inconsistent or no correlations, while the lowest rate of thyroid involvement was 8% (uncontrolled studies). Other data included 3 studies on patients with ATD looking for psoriasis, as well as 1 study on psoriasis and thyroid cancer. ICP was shown to potentially exacerbate prior ATD and psoriasis or to induce them both de novo (5 studies). At the case report level, data showed subacute thyroiditis due to biological medication (ustekinumab, adalimumab, infliximab). Thyroid involvement in patients with psoriasis thus remained puzzling. We observed significant data that confirmed a higher risk of identifying positive antibodies and/or thyroid dysfunction, especially hypothyroidism, in these subjects. Awareness will be necessary to improve overall outcomes. The exact profile of individuals diagnosed with psoriasis who should be screened by the endocrinology team is still a matter of debate, in terms of dermatological subtype, disease duration, activity, and other synchronous (especially autoimmune) conditions.

COVID-19 in the Asia Pacific: Impact on climate change, allergic diseases and One Health

Climate change and environmental factors such as air pollution and loss of biodiversity are known to have a major impact not only on allergic diseases but also on many noncommunicable diseases. Coronavirus disease 2019 (COVID-19) resulted in many environmental changes during the different phases of the pandemic. The use of face masks, enhanced hand hygiene with hand rubs and sanitizers, use of personal protective equipment (gowns and gloves), and safe-distancing measures, reduced the overall incidence of respiratory infections and other communicable diseases. Lockdowns and border closures resulted in a significant reduction in vehicular traffic and hence environmental air pollution. Paradoxically, the use of personal protective equipment and disposables contributed to an increase in environmental waste disposal and new problems such as occupational dermatoses, especially among healthcare workers. Environmental changes and climate change over time may impact the exposome, genome, and microbiome, with the potential for short- and long-term effects on the incidence and prevalence of the allergic disease. The constant use and access to mobile digital devices and technology disrupt work-life harmony and mental well-being. The complex interactions between the environment, genetics, immune, and neuroendocrine systems may have short- and long-term impact on the risk and development of allergic and immunologic diseases in the future.