Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
biorxiv; 2022.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2022.10.27.514070

ABSTRACT

The molecular underpinnings of organ dysfunction in acute COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function, we performed single-nucleus RNA-seq and spatial transcriptomic profiling of livers from 17 COVID-19 decedents. We identified hepatocytes positive for SARS-CoV-2 RNA with an expression phenotype resembling infected lung epithelial cells. Integrated analysis and comparisons with healthy controls revealed extensive changes in the cellular composition and expression states in COVID-19 liver, reflecting hepatocellular injury, ductular reaction, pathologic vascular expansion, and fibrogenesis. We also observed Kupffer cell proliferation and erythrocyte progenitors for the first time in a human liver single-cell atlas, resembling similar responses in liver injury in mice and in sepsis, respectively. Despite the absence of a clinical acute liver injury phenotype, endothelial cell composition was dramatically impacted in COVID-19, concomitantly with extensive alterations and profibrogenic activation of reactive cholangiocytes and mesenchymal cells. Our atlas provides novel insights into liver physiology and pathology in COVID-19 and forms a foundational resource for its investigation and understanding.


Subject(s)
COVID-19 , Multiple Organ Failure , Sepsis , Chemical and Drug Induced Liver Injury
2.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2001576.v1

ABSTRACT

Background: The aim of this study was to evaluate psychological distress among orthodontic patients and its relationship to orthodontic emergencies related to different appliances during the COVID-19 lockdown.  Methods: This was a cross-sectional online questionnaire survey involving orthodontic patients in Shanghai, China. Data collection occurred from May 15 to June 1 2022. The demographic information and orthodontic emergencies were collected, while the peritraumatic distress symptoms were assessed by the COVID-19 Peritraumatic Distress Index (CPDI). Data analysis was performed by SPSS software.  Results: A total of 480 patients were examined, including 331 fixed appliance patients, 131 clear aligner patients and 18 removable appliance patients. Patients who encountered emergencies and suffered from temporomandibular joint (TMJ) pain reported significantly higher CPDI scores in each group (p<0.01). Multivariate linear analysis showed that patients aged above 18 years old (p<0.01), emergencies in fixed appliance patients (p<0.05), emergencies among clear aligner patients (p<0.01), and higher TMJ-pain scores were significantly associated with increasing CPDI scores. Conclusions: Orthodontic patients encountered emergencies, especially those who suffered from TMJ pain and were at higher risk of psychological distress related to COVID-19; thus, targeted intervention and self-management guidelines should be designed to relieve anxiety and strengthen coping capacity for orthodontic patients during the pandemic.


Subject(s)
COVID-19 , Fetal Distress , Temporomandibular Joint Dysfunction Syndrome , Anxiety Disorders
3.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1416969.v1

ABSTRACT

SARS-CoV-2 infection leads to a broad range of outcomes and immune responses, with the development of neutralizing antibodies generally correlated with protection against reinfection. Here, we have characterized both neutralizing activity and T cell responses in a cluster of subjects with mild disease linked to a single spreading event. Surprisingly, we observed sex-specific associations between spike- and particularly nucleoprotein-specific T cell responses and neutralization, with pro-inflammatory cytokines being linked to higher titers only in males. Using single cell immunoprofiling, which provided matched transcriptome and T-cell receptor (TCR) profiles in restimulated CD4 + and CD8 + cells from these subjects, we identified differences in type I IFN signaling that may underlie this difference in antibody generation. Finally, we also identified several TCRs associated with cytokine producing T cells. Altogether, our work maps the breadth of immunological outcomes of SARS-CoV2 infections and highlight the potential role of sex-specific feedback loops during the generation of neutralizing antibodies.


Subject(s)
COVID-19
4.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.03.24.21254260

ABSTRACT

Background Antibody response duration following SARS-CoV-2 infection tends to be variable and depends on severity of disease and method of detection. Study design and methods COVID-19 convalescent plasma (CCP) from 18 donors was collected longitudinally for a maximum of 63 - 129 days following resolution of symptoms. All the samples were initially screened by the Ortho Total Ig test to confirm positivity and subsequently tested with 7 additional direct sandwich or indirect binding assays (Ortho, Roche, Abbott, Broad Institute) directed against a variety of antigen targets (S1, RBD, and NC), along with 2 neutralization assays (Broad Institute live virus PRNT and Vitalant Research Institute Pseudovirus RVPN). Results The direct detection assays (Ortho Total Ig total and Roche Total Ig) showed increasing levels of antibodies over the time period, in contrast to the indirect IgG assays that showed a decline. Neutralization assays also demonstrated declining responses; the VRI RVPN pseudovirus had a greater rate of decline than the Broad PRNT live virus assay. Discussion These data show that in addition to variable individual responses and associations with disease severity, the detection assay chosen contributes to the heterogeneous results in antibody stability over time. Depending on the scope of the research, one assay may be preferable over another. For serosurveillance studies, direct, double Ag-sandwich assays appear to be the best choice due to their stability; in particular, algorithms that include both S1 and NC based assays can help reduce the rate of false-positivity and discriminate between natural infection and vaccine-derived seroreactivity.


Subject(s)
COVID-19
5.
Toni M. Delorey; Carly G. K. Ziegler; Graham Heimberg; Rachelly Normand; Yiming Yang; Asa Segerstolpe; Domenic Abbondanza; Stephen J. Fleming; Ayshwarya Subramanian; Daniel T. Montoro; Karthik A. Jagadeesh; Kushal Dey; Pritha Sen; Michal Slyper; Yered Pita-Juarez; Devan Phillips; Zohar Bloom-Ackermann; Nick Barkas; Andrea Ganna; James Gomez; Erica Normandin; Pourya Naderi; Yury V. Popov; Siddharth S. Raju; Sebastian Niezen; Linus T.-Y. Tsai; Katherine J. Siddle; Malika Sud; Victoria M. Tran; Shamsudheen Karuthedath Vellarikkal; Liat Amir-Zilberstein; Joseph M Beechem; Olga R. Brook; Jonathan Chen; Prajan Divakar; Phylicia Dorceus; Jesse M Engreitz; Adam Essene; Donna M. Fitzgerald; Robin Fropf; Steven Gazal; Joshua Gould; Tyler Harvey; Jonathan Hecht; Tyler Hether; Judit Jane-Valbuena; Michael Leney-Greene; Hui Ma; Cristin McCabe; Daniel E. McLoughlin; Eric M. Miller; Christoph Muus; Mari Niemi; Robert Padera; Liuliu Pan; Deepti Pant; Jenna Pfiffner-Borges; Christopher J. Pinto; Jason Reeves; Marty Ross; Melissa Rudy; Erroll H. Rueckert; Michelle Siciliano; Alexander Sturm; Ellen Todres; Avinash Waghray; Sarah Warren; Shuting Zhang; Dan Zollinger; Lisa Cosimi; Rajat M Gupta; Nir Hacohen; Winston Hide; Alkes L. Price; Jayaraj Rajagopal; Purushothama Rao Tata; Stefan Riedel; Gyongyi Szabo; Timothy L. Tickle; Deborah Hung; Pardis C. Sabeti; Richard Novak; Robert Rogers; Donald E. Ingber; Z Gordon Jiang; Dejan Juric; Mehrtash Babadi; Samouil L. Farhi; James R. Stone; Ioannis S. Vlachos; Isaac H. Solomon; Orr Ashenberg; Caroline B.M. Porter; Bo Li; Alex K. Shalek; Alexandra-Chloe Villani; Orit Rozenblatt-Rosen; Aviv Regev.
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.02.25.430130

ABSTRACT

The SARS-CoV-2 pandemic has caused over 1 million deaths globally, mostly due to acute lung injury and acute respiratory distress syndrome, or direct complications resulting in multiple-organ failures. Little is known about the host tissue immune and cellular responses associated with COVID-19 infection, symptoms, and lethality. To address this, we collected tissues from 11 organs during the clinical autopsy of 17 individuals who succumbed to COVID-19, resulting in a tissue bank of approximately 420 specimens. We generated comprehensive cellular maps capturing COVID-19 biology related to patients demise through single-cell and single-nucleus RNA-Seq of lung, kidney, liver and heart tissues, and further contextualized our findings through spatial RNA profiling of distinct lung regions. We developed a computational framework that incorporates removal of ambient RNA and automated cell type annotation to facilitate comparison with other healthy and diseased tissue atlases. In the lung, we uncovered significantly altered transcriptional programs within the epithelial, immune, and stromal compartments and cell intrinsic changes in multiple cell types relative to lung tissue from healthy controls. We observed evidence of: alveolar type 2 (AT2) differentiation replacing depleted alveolar type 1 (AT1) lung epithelial cells, as previously seen in fibrosis; a concomitant increase in myofibroblasts reflective of defective tissue repair; and, putative TP63+ intrapulmonary basal-like progenitor (IPBLP) cells, similar to cells identified in H1N1 influenza, that may serve as an emergency cellular reserve for severely damaged alveoli. Together, these findings suggest the activation and failure of multiple avenues for regeneration of the epithelium in these terminal lungs. SARS-CoV-2 RNA reads were enriched in lung mononuclear phagocytic cells and endothelial cells, and these cells expressed distinct host response transcriptional programs. We corroborated the compositional and transcriptional changes in lung tissue through spatial analysis of RNA profiles in situ and distinguished unique tissue host responses between regions with and without viral RNA, and in COVID-19 donor tissues relative to healthy lung. Finally, we analyzed genetic regions implicated in COVID-19 GWAS with transcriptomic data to implicate specific cell types and genes associated with disease severity. Overall, our COVID-19 cell atlas is a foundational dataset to better understand the biological impact of SARS-CoV-2 infection across the human body and empowers the identification of new therapeutic interventions and prevention strategies.


Subject(s)
Fibrosis , Adenocarcinoma, Bronchiolo-Alveolar , Respiratory Distress Syndrome , Acute Lung Injury , COVID-19
SELECTION OF CITATIONS
SEARCH DETAIL