ArticleEBioMedicine2021
Increased apolipoprotein-B:A1 ratio predicts cardiometabolic risk in patients with juvenile onset SLE.
Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Lipid profiles in patients with juvenile idiopathic arthritis: a systematic literature review and meta-analysis.Lipids in health and disease · 2023Pooled it
- Atherosclerosis Progression in the APPLE Trial Can Be Predicted in Young People With Juvenile-Onset Systemic Lupus Erythematosus Using a Novel Lipid Metabolomic Signature.Arthritis & rheumatology (Hoboken, N.J.) · 2024Trial
- A Novel ApoB/ApoA1 Ratio-Integrated Nomogram to Predict Cardiogenic Shock After Acute Myocardial Infarction.Reviews in cardiovascular medicine · 2026Article
- A blood-based metabolomics study of cardiovascular diseases in Swedish twins reveals apolipoprotein B biology as important for myocardial infarction.GeroScience · 2026Article
- The Natural History of Prediabetes and Cardiovascular Disease in the Pediatric Population.Biomedicines · 2026Review
- Insights into the pathogenesis of childhood-onset SLE in the past decade.Nature reviews. Rheumatology · 2026Review
- Associations of non-traditional lipid parameters with high-risk plaques characterized by optical coherence tomography in acute myocardial infarction culprit lesions.Frontiers in cardiovascular medicine · 2026Article
- Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance.Frontiers in cardiovascular medicine · 2026Review
- Integrative multi-omics and network biology in cardiovascular disease: a systems-level framework for translational discovery.Frontiers in systems biology · 2026Review
- Systemic and Local Lipids in Nonhuman Primates With Drusen and Age-Related Maculopathies.Investigative ophthalmology & visual science · 2025Article
- Serum untargeted metabolomics alterations in systemic lupus erythematosus patients with elevated serum ferritin.Scientific reports · 2025Article
- Metabolomics in juvenile idiopathic arthritis: A distinct profile in patients under methotrexate.Clinics (Sao Paulo, Brazil) · 2025Article
- The plasma metabolome of juvenile idiopathic arthritis varies according to subtype and underlying inflammatory status.Pediatric rheumatology online journal · 2024Article
- Systemic lupus erythematosus patients have unique changes in serum metabolic profiles across age associated with cardiometabolic risk.Rheumatology (Oxford, England) · 2024Article
- Learning from serum markers reflecting endothelial activation: longitudinal data in childhood-onset systemic lupus erythematosus.Lupus science & medicine · 2024Article
- Serum apolipoprotein B to apolipoprotein A-I ratio predicts mortality in patients with heart failure.ESC heart failure · 2024Article
- Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning.Frontiers in cellular and infection microbiology · 2023Article
- Impact of puberty, sex determinants and chronic inflammation on cardiovascular risk in young people.Frontiers in cardiovascular medicine · 2023Review
- CD8International journal of molecular sciences · 2022Review
- Metabolomics analysis identifies a lipidomic profile in treatment-naïve juvenile dermatomyositis patients vs healthy control subjects.Rheumatology (Oxford, England) · 2022Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCardiovascular disease is a leading cause of mortality in patients with juvenile-onset systemic lupus erythematosus (JSLE). Traditional factors for cardiovascular risk (CVR) prediction are less robust in younger patients. More reliable CVR biomarkers are needed for JSLE patient stratification and to identify therapeutic approaches to reduce cardiovascular morbidity and mortality in JSLE.
methodsSerum metabolomic analysis (including >200 lipoprotein measures) was performed on a discovery (n=31, median age 19) and validation (n=31, median age 19) cohort of JSLE patients. Data was analysed using cluster, receiver operating characteristic analysis and logistic regression. RNA-sequencing assessed gene expression in matched patient samples.
findingsHierarchical clustering of lipoprotein measures identified and validated two unique JSLE groups. Group-1 had an atherogenic and Group-2 had an atheroprotective lipoprotien profile. Apolipoprotein(Apo)B:ApoA1 distinguished the two groups with high specificity (96.2%) and sensitivity (96.7%). JSLE patients with high ApoB:ApoA1 ratio had increased CD8+ T-cell frequencies and a CD8+ T-cell transcriptomic profile enriched in genes associated with atherogenic processes including interferon signaling. These metabolic and immune signatures overlapped statistically significantly with lipid biomarkers associated with sub-clinical atherosclerosis in adult SLE patients and with genes overexpressed in T-cells from human atherosclerotic plaque respectively. Finally, baseline ApoB:ApoA1 ratio correlated positively with SLE disease activity index (r=0.43, p=0.0009) and negatively with Lupus Low Disease Activity State (r=-0.43, p=0.0009) over 5-year follow-up.
interpretationMulti-omic analysis identified high ApoB:ApoA1 as a potential biomarker of increased cardiometabolic risk and worse clinical outcomes in JSLE. ApoB:ApoA1 could help identify patients that require increased disease monitoring, lipid modification or lifestyle changes.
fundingLupus UK, The Rosetrees Trust, British Heart Foundation, UCL & Birkbeck MRC Doctoral Training Programme and Versus Arthritis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.