Search

High autoantibody levels are found in individuals hospitalized for COVID-19. The temporal trajectories and levels of these autoantibodies months into convalescence after SARS-CoV-2 infection are unclear. It is also unknown if the composite autoantibody signatures of convalescent SARS-CoV-2-infected individuals resemble those with diagnosed autoimmune diseases. We measured the circulating levels of 17 autoantibodies associated with autoimmune connective tissue diseases from SARS-CoV-2 hospitalized and outpatient participants, as well as from individuals with scleroderma (SSc), systemic lupus erythematosus (SLE), and uninfected pre-pandemic controls. Seven of the 17 autoantibodies measured were higher in hospitalized and/or outpatient SARS-CoV-2 individuals an average of six months after symptom onset compared with controls, with multivariate analyses revealing links between SARS-CoV-2 infection and positivity of SSB-La, Sm, Proteinase 3, Myleoperoxidase, Jo-1, and Ku reactive IgG six months post-symptom onset. Autoantibody levels from SARS-CoV-2 infected individuals were followed over time from initial symptom onset for an average of six months, and different temporal autoantibody trajectories were classified. A ‘negative, then positive’ expression pattern was found for at least one autoantibody in 18% of the outpatient and 53% of the hospitalized participants, indicating initiation and durable expression of self-reactive immune responses post-infection, particularly with severe acute illness. Analysis of individual participant autoantibody expression patterns revealed similar patterns between pre-pandemic and convalescent SARS-CoV-2 infected groups that are distinct from participants with both the SSc and SLE. As autoantibody positivity can occur years prior to autoimmune disease onset, the possibility that SARS-CoV-2-associated autoantibodies are a herald of future autoimmune disorders requires further investigation.One Sentence SummaryAutoantibody levels rise after acute SARS-CoV-2 infection and remain elevated for at least six months after symptom onset in participants with mild or severe COVID-19.

SUMMARYHemogenic endothelial cells (HECs) are specialized cells that undergo endothelial to hematopoietic transition (EHT) to give rise to hematopoietic progenitors. Though not defined as a hematopoietic organ, the lung houses many resident hematopoietic cells, aids in platelet biogenesis, and is a reservoir for hematopoietic stem and progenitor cells (HSPCs), but lung HECs have never been described. Using explant cultures of murine and human fetal lungs, we demonstrate that the fetal lung is a source of HECs that have the functional capacity to undergo EHT to produce de-novo HSPCs. Flow cytometric and functional assessment of fetal lung explants showed the production of HSPCs that expressed key EHT and pre-HSPC markers. scRNA-Seq and small molecule modulation demonstrated that fetal lung EHT is reliant on canonical EHT signaling pathways. These findings suggest that functional HECs are present in the fetal lung, thus establishing this location as a potential extramedullary site of de-novo hematopoiesis.

Increasing evidence suggests that autoimmunity may play a role in the pathophysiology of SARS-CoV-2 infection during both the acute and ‘long COVID’ phases of disease. However, an assessment of autoimmune antibodies in convalescent SARS-CoV-2 patients has not yet been reported.MethodologyWe compared the levels of 18 different IgG autoantibodies (AABs) between four groups: (1) unexposed pre-pandemic subjects from the general population (n = 29); (2) individuals hospitalized with acute moderate-severe COVID-19 (n = 20); (3) convalescent SARS-COV-2-infected subjects with asymptomatic to mild viral symptoms during the acute phase with samples obtained between 1.8 and 7.3 months after infection (n = 9); and (4) unexposed pre-pandemic subjects with systemic lupus erythematous (SLE) (n = 6). Total IgG and IgA levels were also measured from subjects in groups 1-3 to assess non-specific pan-B cell activation.ResultsAs expected, in multivariate analysis, AABs were detected at much higher odds in SLE subjects (5 of 6, 83%) compared to non-SLE pre-pandemic controls (11 of 29, 38%) [odds ratio (OR) 19.4,95% CI, 2.0 – 557.0, p = 0.03]. AAB detection (percentage of subjects with one or more autoantibodies) was higher in SARS-CoV-2 infected convalescent subjects (7 of 9, 78%) [OR 17.4, 95% CI, 2.0 – 287.4, p = 0.02] and subjects with acute COVID-19 (12 of 20, 60%) compared with non-SLE pre-pandemic controls, but was not statistically significant among the latter [OR 1.8,95% CI, 0.6 – 8.1, p = 0.23]. Within the convalescent subject group, AABs were detected in 5/5 with reported persistent symptoms and 2/4 without continued symptoms (p = 0.17). The multivariate computational algorithm Partial Least Squares Determinant Analysis (PLSDA) was used to determine if distinct AAB signatures distinguish subject groups 1-3. Of the 18 autoantibodies measured, anti-Beta 2-Glycoprotein, anti-Proteinase 3-ANCA, anti-Mi-2 and anti-PM/Scl-100 defined the convalescent group; anti-Proteinase 3-ANCA, anti-Mi-2, anti-Jo-1 and anti-RNP/SM defined acute COVID-19 subjects; and anti-Proteinase 3-ANCA, anti-Mi-2, anti-Jo-1, anti-Beta 2-Glycoprotein distinguished unexposed controls. The AABs defining SARS-COV-2 infected from pre-pandemic subjects are widely associated with myopathies, vasculitis, and antiphospholipid syndromes, conditions with some similarities to COVID-19. Compared to pre-pandemic non-SLE controls, subjects with acute COVID-19 had higher total IgG concentration (p-value=0.006) but convalescent subjects did not (p-value=0.08); no differences in total IgA levels were found between groups.ConclusionsOur findings support existing studies suggesting induction of immune responses to self-epitopes during acute, severe COVID-19 with evidence of general B cell hyperactivation. Also, the preponderance of AAB positivity among convalescent individuals up to seven months after infection indicates potential initiation or proliferation, and then persistence of self-reactive immunity without severe initial disease. These results underscore the importance of further investigation of autoimmunity during SARS-CoV-2 infection and its role in the onset and persistence of post-acute sequelae of COVID-19.

SUMMARYThe human hematopoietic stem cell (HSC) harbors remarkable regenerative potential that can be harnessed therapeutically. During early development, HSCs in the fetal liver (FL) undergo active expansion while simultaneously retaining robust engraftment capacity, yet the underlying molecular program responsible for their efficient engraftment remains unclear. We profiled 26,407 FL cells at both transcriptional and protein levels including over 7,000 highly enriched and functional FL HSCs to establish a detailed molecular signature of engraftment potential. Integration of transcript and linked cell surface marker expression revealed a generalizable signature defining functional FL HSCs and allowed for the stratification of enrichment strategies with high translational potential. This comprehensive, multi-modal profiling of engraftment capacity connects a critical biological function at a key developmental timepoint with its underlying molecular drivers, serving as a useful resource for the field.

The COVID-19 pandemic has significantly impacted work, economy, and way of life. The SARS-CoV-2 virus displays unique features including widely varying symptoms and outcomes between infected individuals. Sensitive measurement of SARS-CoV-2 specific antibodies would provide new insight into virus transmission dynamics, pre-existing cross-reactive immunity, and the nuances of SARS-CoV-2 pathogenesis. To date, existing SARS-CoV-2 serology tests have limited utility due to insufficient detection of antibody levels lower than what is typically present after several days of symptoms. To measure lower quantities of SARS-CoV-2 IgM, IgG, and IgA with higher resolution than existing assays, we developed a new ELISA protocol with a distinct plate washing procedure and timed plate development via use of a standard curve. This ‘BU ELISA’ method exhibits very low signal from plasma or serum samples added to uncoated wells at as low as a 1:5 dilution. Use of this method revealed circulating SARS-CoV-2 receptor binding domain (RBD) and nucleocapsid protein (NP) reactive antibodies from blood samples drawn prior to May 2019. Of our prepandemic cohort, no SARS-CoV-2 RBD-reactive IgG antibodies were detected in subjects over 70 years of age, and SARS-CoV-2 NP-reactive antibodies were present at similar levels to infected subjects in some individuals and very low in others. Also, samples drawn in May 2020 from two individuals with no symptoms or no known virus exposure contained SARS-CoV-2 RBD-reactive antibodies at intermediate amounts compared with other subject groups (higher than pre-pandemic and lower than confirmed SARS-CoV-2 infected). The one asymptomatic SARS-CoV-2 convalescent subject in our study possessed comparable amounts of SARS-CoV-2 NP-specific IgM and IgG but drastically lower IgA than the symptomatic counterparts. Also, our assay detected positive signal from samples that gave negative results in a commercially available Lateral Flow Device (LFD) and the EUA approved Abbott IgG chemiluminescent microparticle immunoassay for SARS-CoV-2 antibody detection. We propose that this improved ELISA protocol, which is straightforward to perform, low cost, and uses readily available commercial reagents, is a useful tool to elucidate new information about SARS-CoV-2 infection and has promising implications for improved detection of all analytes measurable by this platform.

SUMMARYWhite adipose tissue (WAT) is a dynamic tissue, which responds to environmental stimuli and dietary cues by changing its morphology and metabolic capacity. The ability of WAT to undergo a beige remodeling has become an appealing strategy to combat obesity and its related metabolic complications. Within the cell mixture that constitutes the stromal vascular fraction (SVF), WAT beiging is initiated through expansion and differentiation of adipocytes progenitor cells, however, the extent of the SVF cellular changes is still poorly understood. Additionally, direct beta 3 adrenergic receptor (Adrb3) stimulation has been extensively used to mimic physiological cold- induced beiging, yet it is still unknown whether Adrb3 activation induces the same WAT remodeling as cold exposure. Here, by using single cell RNA sequencing, we provide a comprehensive atlas of the cellular dynamics during beige remodeling within white adipose tissue. We reveal drastic changes both in the overall cellular composition and transcriptional states of individual cell subtypes between Adrb3- and cold-induced beiging. Moreover, we demonstrate that cold exposure induces a myeloid to lymphoid shift of the immune compartment compared to Adrb3 activation. Further analysis, showed that Adrb3 stimulation leads to activation of the interferon/Stat1 pathways favoring infiltration of myeloid immune cells, while repression of this pathway by cold promotes lymphoid immune cells recruitment. These findings provide new insight into the cellular dynamics during WAT beige remodeling and could ultimately lead to novel strategies to identify translationally-relevant drug targets to counteract obesity and T2D.

Accurate and comprehensive extraction of information from high-dimensional single cell datasets necessitates faithful visualizations to assess biological populations. A state-of-the-art algorithm for non-linear dimension reduction, t-SNE, requires multiple heuristics and fails to produce clear representations of datasets when millions of cells are projected. We developed opt-SNE, an automated toolkit for t-SNE parameter selection that utilizes Kullback-Liebler divergence evaluation in real time to tailor the early exaggeration and overall number of gradient descent iterations in a dataset-specific manner. The precise calibration of early exaggeration together with opt-SNE adjustment of gradient descent learning rate dramatically improves computation time and enables high-quality visualization of large cytometry and transcriptomics datasets, overcoming limitations of analysis tools with hard-coded parameters that often produce poorly resolved or misleading maps of fluorescent and mass cytometry data. In summary, opt-SNE enables superior data resolution in t-SNE space and thereby more accurate data interpretation.

Low-levels of type I interferons (IFN-I) are thought to be a driving force for immune activation and T cell exhaustion in HIV-1 infected individuals on highly active antiretroviral therapy (HAART), though the causative mechanisms for persistent IFN-I signaling have remained unclear. Here, we show Rev-CRM1 dependent nuclear export and peripheral membrane association of intron-containing HIV-1 unspliced RNA (usRNA), independent of primary viral sequence or viral protein expression, is subject to sensing, and results in IFN-I-dependent pro-inflammatory responses in macrophages. Our findings suggest that persistent expression of HIV-1 usRNA in macrophages contributes to chronic immune activation and that use of HIV RNA expression inhibitors as adjunct therapy might abrogate aberrant inflammation and restore immune function in HIV-infected individuals on HAART.