Logo

American Heart Association

  106
  0


Final ID: Mo1072

Long Noncoding RNAs to Predict COVID-19 Neuro-Cardio-Vascular Outcomes

Abstract Body (Do not enter title and authors here): Introduction/Background
Cardiovascular and neurological diseases develop in a significant proportion of COVID-19 patients. Minimally invasive tools to predict outcome after SARS-CoV-2 infection would enable personalized healthcare, potentially easing the disease burden. We showed that blood levels of the long noncoding RNA lymphoid enhancer-binding factor-1 antisense 1 (LEF1-AS1) predict COVID-19 in-hospital mortality.
Hypothesis
LEF1-AS1 is associated with long-term clinical outcomes of COVID-19.
Aim
Test the capacity of LEF1-AS1 to predict neuro-cardio-vascular outcomes post-SARS-CoV-2 infection.
Methods/Approach
We enrolled 104 primo-infected COVID-19 patients aged 18+ recruited from April to December 2020 in the PrediCOVID national cohort for which 12-month follow-up data were available (Ethics Committee approvals 202003/07 and 202310/02-SU-202003/07). Whole blood samples were collected at baseline and expression levels of LEF1-AS1 were assessed by quantitative PCR.
Results/Data
Of the 104 patients, 35 had at least one neurological symptom and one cardiovascular symptom at month 12. Levels of LEF1-AS1 at baseline were lower (p=0.019) in patients who developed neurological and cardiovascular symptoms as compared to patients who did not. Lower LEF1-AS1 was associated with symptoms development with an odds ratio of 0.48 (95% CI 0.28-0.83) from logistic regression model adjusted for age, sex, comorbidities and disease severity at baseline. Addition of LEF1-AS1 to a clinical model including age, sex, comorbidities and baseline severity yielded an incremental predictive value as attested by an increased AUC from 0.79 to 0.83 (likelihood ratio test p=0.005), a net reclassification index of 0.54 (p=0.007) and an integrated discrimination improvement of 0.08 (p=0.009).
Conclusion
Blood levels of LEF1-AS1 predict 12-month neurological and cardiovascular outcomes of COVID-19 patients. This needs to be validated in larger populations.
  • Vausort, Melanie  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Boubakeur, Hassina  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Zhang, Lu  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Fagherazzi, Guy  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Ollert, Markus  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Devaux, Yvan  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Author Disclosures:
    Melanie Vausort: No Answer | Hassina Boubakeur: No Answer | Lu Zhang: No Answer | Guy Fagherazzi: No Answer | Markus Ollert: No Answer | Yvan Devaux: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Omics of Vascular Disease

Monday, 11/18/2024 , 10:30AM - 11:30AM

Abstract Poster Session

More abstracts on this topic:
Analysis of First Morning Urine Transcriptomes in Normotensive and Hypertensive Patients Identify Upregulated Inflammatory and Signaling Pathways Associated with Hypertension

Umanath Kausik, Ortiz Pablo, Sohaney Ryann, Atchison Douglas, Abraham Emmy, Meng Ze, She Ruicong, Adrianto Indra, Levin Albert, Wu Andrew

ACS-Specific Gut Microbial and Metabolic Profiles Reveal Diagnostic and Recovery Markers

Xu Jing, Fu Jingyuan, Dai Die, Yang Yanan, Yang Jingang, Gao Shanshan, Wu Chongming, He Jiumin, Chen Weihua, Yang Yue-jin

More abstracts from these authors:
Long noncoding RNAs and machine learning to improve cardiovascular outcomes of COVID-19

Karaduzovic-hadziabdic Kanita, Greco Simona, Padro Teresa, Domingo Pedro, Lustrek Mitja, Scholz Markus, Rosolowski Maciej, Jordan Marko, Benczik Bettina, Agg Bence, Ferdinandy Peter, Adilović Muhamed, Baker Andrew, Fagherazzi Guy, Ollert Markus, Michel Joanna, Sanchez Gabriel, Firat Hueseyin, Brandenburger Timo, Martelli Fabio, Badimon Lina, Devaux Yvan, Zhang Lu, Lumley Andrew, Shah Pranay, Shoaib Muhammad, Satagopam Venkata, Srivastava Prashant, Emanueli Costanza

RNA biomarkers of cardiovascular disease

Devaux Yvan

You have to be authorized to contact abstract author. Please, Login
Not Available