Circulating anti-nuclear autoantibodies in COVID-19 survivors predict long COVID symptoms.

BACKGROUND: Autoimmunity has been reported in patients with severe coronavirus disease 2019 (COVID-19). We investigated whether anti-nuclear/extractable-nuclear antibodies (ANAs/ENAs) were present up to a year after infection, and if they were associated with the development of clinically relevant post-acute sequalae of COVID-19 (PASC) symptoms. METHODS: A rapid-assessment line immunoassay was used to measure circulating levels of ANAs/ENAs in 106 convalescent COVID-19 patients with varying acute phase severities at 3, 6 and 12 months post-recovery. Patient-reported fatigue, cough and dyspnoea were recorded at each time point. Multivariable logistic regression model and receiver operating curves were used to test the association of autoantibodies with patient-reported outcomes and pro-inflammatory cytokines. RESULTS: Compared to age- and sex-matched healthy controls (n=22) and those who had other respiratory infections (n=34), patients with COVID-19 had higher detectable ANAs at 3 months post-recovery (p<0.001). The mean number of ANA autoreactivities per individual decreased between 3 and 12 months (from 3.99 to 1.55) with persistent positive titres associated with fatigue, dyspnoea and cough severity. Antibodies to U1-snRNP and anti-SS-B/La were both positively associated with persistent symptoms of fatigue (p<0.028, area under the curve (AUC) 0.86) and dyspnoea (p<0.003, AUC=0.81). Pro-inflammatory cytokines such as tumour necrosis factor (TNF)-α and C-reactive protein predicted the elevated ANAs at 12 months. TNF-α, D-dimer and interleukin-1ß had the strongest association with symptoms at 12 months. Regression analysis showed that TNF-α predicted fatigue (ß=4.65, p=0.004) and general symptomaticity (ß=2.40, p=0.03) at 12 months. INTERPRETATION: Persistently positive ANAs at 12 months post-COVID are associated with persisting symptoms and inflammation (TNF-α) in a subset of COVID-19 survivors. This finding indicates the need for further investigation into the role of autoimmunity in PASC.

Concentration-dependent increase in symptoms due to diesel exhaust in a controlled human exposure study.

BACKGROUND: Traffic-related air pollution (TRAP) exposure causes adverse effects on wellbeing and quality of life, which can be studied non-invasively using self-reported symptoms. However, little is known about the effects of different TRAP concentrations on symptoms following controlled exposures, where acute responses can be studied with limited confounding. We investigated the concentration-response relationship between diesel exhaust (DE) exposure, as a model TRAP, and self-reported symptoms. METHODS: We recruited 17 healthy non-smokers into a double-blind crossover study where they were exposed to filtered air (FA) and DE standardized to 20, 50, 150 µg/m3 PM2.5 for 4 h, with a ≥ 4-week washout between exposures. Immediately before, and at 4 h and 24 h from the beginning of the exposure, we administered visual analog scale (VAS) questionnaires and grouped responses into chest, constitutional, eye, neurological, and nasal categories. Additionally, we assessed how the symptom response was related to exposure perception and airway function. RESULTS: An increase in DE concentration raised total (ß ± standard error = 0.05 ± 0.03, P = 0.04), constitutional (0.01 ± 0.01, P = 0.03) and eye (0.02 ± 0.01, P = 0.05) symptoms at 4 h, modified by perception of temperature, noise, and anxiety. These symptoms were also correlated with airway inflammation. Compared to FA, symptoms were significantly increased at 150 µg/m3 for the total (8.45 ± 3.92, P = 0.04) and eye (3.18 ± 1.55, P = 0.05) categories, with trends towards higher values in the constitutional (1.49 ± 0.86, P = 0.09) and nasal (1.71 ± 0.96, P = 0.08) categories. CONCLUSION: DE exposure induced a concentration-dependent increase in symptoms, primarily in the eyes and body, that was modified by environmental perception. These observations emphasize the inflammatory and sensory effects of TRAP, with a potential threshold below 150 µg/m3 PM2.5. We demonstrate VAS questionnaires as a useful tool for health monitoring and provide insight into the TRAP concentration-response at exposure levels relevant to public health policy.

Concentration-dependent alterations in the human plasma proteome following controlled exposure to diesel exhaust.

Traffic-related air pollution (TRAP) exposure is associated with systemic health effects, which can be studied using blood-based markers. Although we have previously shown that high TRAP concentrations alter the plasma proteome, the concentration-response relationship between blood proteins and TRAP is unexplored in controlled human exposure studies. We aimed to identify concentration-dependent plasma markers of diesel exhaust (DE), a model of TRAP. Fifteen healthy non-smokers were enrolled into a double-blinded, crossover study where they were exposed to filtered air (FA) and DE at 20, 50 and 150 µg/m3 PM2.5 for 4h, separated by ≥ 4-week washouts. We collected blood at 24h post-exposure and used label-free mass spectrometry to quantify proteins in plasma. Proteins exhibiting a concentration-response, as determined by linear mixed effects models (LMEMs), were assessed for pathway enrichment using WebGestalt. Top candidates, identified by sparse partial least squares discriminant analysis and LMEMs, were confirmed using enzyme-linked immunoassays. Thereafter, we assessed correlations between proteins that showed a DE concentration-response and acute inflammatory endpoints, forced expiratory volume in 1 s (FEV1) and methacholine provocation concentration causing a 20% drop in FEV1 (PC20). DE exposure was associated with concentration-dependent alterations in 45 proteins, which were enriched in complement pathways. Of the 9 proteins selected for confirmatory immunoassays, based on complementary bioinformatic approaches to narrow targets and availability of high-quality assays, complement factor I (CFI) exhibited a significant concentration-dependent decrease (-0.02 µg/mL per µg/m3 of PM2.5, p = 0.04). Comparing to FA at discrete concentrations, CFI trended downward at 50 (-2.14 ± 1.18, p = 0.08) and significantly decreased at 150 µg/m3 PM2.5 (-2.93 ± 1.18, p = 0.02). CFI levels were correlated with FEV1, PC20 and nasal interleukin (IL)-6 and IL-1ß. This study details concentration-dependent alterations in the plasma proteome following DE exposure at concentrations relevant to occupational and community settings. CFI shows a robust concentration-response and association with established measures of airway function and inflammation.

Controlled Diesel Exhaust Exposure Induces a Concentration-dependent Increase in Airway Inflammation: A Clinical Trial.

Rationale: Air pollution exposure is harmful to human airways, and its impacts are best studied using concentration-response relationships. However, most concentration-response research on airway health has investigated chronic exposures, with less being known about acute effects, which can be robustly studied using controlled human exposures. Objectives: To investigate the concentration relationship between airway health measures and diesel exhaust (DE). Methods: We conducted a double-blind crossover study with 17 healthy nonsmokers exposed to filtered air and DE standardized to 20, 50, and 150 µg/m3 of particulate matter ⩽2.5 µm in aerodynamic diameter for 4 hours. Before, during, and up to 24 hours from the exposure start, we measured lung function, airway responsiveness, and airway inflammation using spirometry, methacholine challenge, and fractional exhaled nitric oxide (FeNO), respectively. In addition, we measured nasal airway inflammation using differential cell counts and cytokines in nasal lavage and epithelial lining fluid at 24 hours. We assessed DE concentration responses and associations between outcomes using linear mixed effects models and repeated measures correlations, respectively, thereafter adjusting for multiple comparisons. Results: DE exposure increased percentage ΔFeNO at 4 hours (ß = 0.16 ± 0.06). Compared with filtered air, percentage ΔFeNO trended toward an increase at concentrations of 20 µg/m3 (ß = 18.66 ± 8.76) and 50 µg/m3 (ß = 19.33 ± 8.92) and increased significantly at 150 µg/m3 (ß = 34.43 ± 8.92). In addition, DE exposure induced a trend toward increased nasal IL-6 at 24 hours (percentage difference, 0.88; 95% confidence interval, 0.08, 1.70). There were no effects of DE exposure on FeNO at 24 hours, lung function, airway responsiveness, or nasal cell counts. Conclusions: DE induces a concentration-dependent increase in FeNO, indicating that it may be a sensitive marker of an acute inflammatory response in the airways. We report responses at concentrations below those in previous controlled DE exposure studies, and we document particulate matter ⩽2.5 µm in aerodynamic diameter concentration-response estimates at exposure levels routinely experienced in the community and occupational settings. Clinical trial registered with www.clinicaltrials.gov (NCT03234790).