Browse by UCL people
Group by: Type | Date
Number of items: 14.
Article
Coelewij, L;
Waddington, KE;
Robinson, GA;
Chocano, E;
McDonnell, T;
Farinha, F;
Peng, J;
... Pineda-Torra, I; + view all
(2021)
Serum Metabolomic Signatures Can Predict Subclinical Atherosclerosis in Patients With Systemic Lupus Erythematosus.
Arteriosclerosis, Thrombosis, and Vascular Biology
10.1161/ATVBAHA.120.315321.
(In press).
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Jury, Elizabeth C;
Peng, Junjie;
Van Vijfeijken, Alexandra;
Martin Gutierrez, Lucia;
Woodridge, Laurel;
Wincup, Chris;
Pineda-Torra, Ines;
... Robinson, George A; + view all
(2023)
Systemic lupus erythematosus patients have unique changes in serum metabolic profiles across age associated with cardiometabolic risk.
Rheumatology
, Article kead646. 10.1093/rheumatology/kead646.
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Manson, JJ;
Crooks, C;
Naja, M;
Ledlie, A;
Goulden, B;
Liddle, T;
Khan, E;
... Tattersall, RS; + view all
(2020)
COVID-19-associated hyperinflammation and escalation of patient care: a retrospective longitudinal cohort study.
The Lancet Rheumatology
, 2
(10)
e594-e602.
10.1016/S2665-9913(20)30275-7.
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Martin-Gutierrez, L;
Peng, J;
Thompson, NL;
Robinson, GA;
Naja, M;
Peckham, H;
Wu, W;
... Ciurtin, C; + view all
(2021)
Stratification of Patients With Sjögren’s Syndrome and Patients With Systemic Lupus Erythematosus According to Two Shared Immune Cell Signatures, With Potential Therapeutic Implications.
Arthritis & Rheumatology
10.1002/art.41708.
(In press).
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Peng, J;
Jury, E;
Donnes, P;
Ciurtin, C;
(2021)
Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: Applications and challenges.
Frontiers in Medicine
, 12
, Article 720694. 10.3389/fphar.2021.720694.
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Robinson, GA;
Peng, J;
Peckham, H;
Radziszewska, A;
Butler, G;
Pineda-Torra, I;
Jury, EC;
(2021)
Sex hormones drive changes in lipoprotein metabolism.
iScience
, Article 103257. 10.1016/j.isci.2021.103257.
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Robinson, GA;
Peng, J;
Pineda-Torra, I;
Ciurtin, C;
Jury, EC;
(2022)
Metabolomics defines complex patterns of dyslipidaemia in juvenile-sle patients associated with inflammation and potential cardiovascular disease risk.
Metabolites
, 12
(1)
, Article 3. 10.3390/metabo12010003.
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Robinson, GA;
Peng, J;
Dönnes, P;
Coelewij, L;
Naja, M;
Radziszewska, A;
Wincup, C;
... Jury, EC; + view all
(2020)
Disease-associated and patient-specific immune cell signatures in juvenile-onset systemic lupus erythematosus: patient stratification using a machine-learning approach.
The Lancet Rheumatology
, 2
(8)
e485-e496.
10.1016/s2665-9913(20)30168-5.
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Robinson, GA;
Waddington, KE;
Coelewij, L;
Peng, J;
Naja, M;
Wincup, C;
Radziszewska, A;
... Jury, EC; + view all
(2021)
Increased apolipoprotein-B:A1 ratio predicts cardiometabolic risk in patients with juvenile onset SLE.
EBioMedicine
, Article 103243. 10.1016/j.ebiom.2021.103243.
(In press).
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Working / discussion paper
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Coelewij, L;
Waddington, K;
Robinson, G;
Chocano, E;
McDonnell, T;
Farinha, F;
Peng, J;
... Pineda-Torra, I; + view all
(2020)
Using serum metabolomics analysis to predict sub-clinical atherosclerosis in patients with SLE.
MedRxiv: Cold Spring Harbor, NY, USA.
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Conference item
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Khatun, A;
Wu, W;
Peng, J;
Hennelly, L;
Sloan, M;
Bosley, M;
Howard, P;
... Ciurtin, C; + view all
(2021)
Self-reported disease activity was the main determinant of the perceived impact of COVID-19 pandemic on adolescent and young patients with Juvenile Dermatomyositis (JDM) and Juvenile Onset Systemic Lupus Erythematosus (JSLE).
Presented at: British Society for Rheumatology Annual Conference.
(In press).
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Martin-Gutierrez, L;
Peng, J;
Robinson, G;
Naja, M;
Peckham, H;
Wu, W;
Isenberg, D;
... Ciurtin, C; + view all
(2021)
Immunophenotype of systemic lupus erythematosus and Sjogren´s syndrome patients identified two endotypes with potential therapeutic implications.
Presented at: Lupus Academy 10th Annual Meeting, Virtual.
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Martin-Gutierrez, L;
Peng, J;
Robinson, G;
Naja, M;
Peckham, H;
Wu, W;
Isenberg, D;
... Ciurtin, C; + view all
(2021)
Immunophenotype of Sjögren´s syndrome and systemic lupus erythematosus patients identified two endotypes with potential therapeutic implications.
Presented at: EULAR 2021: European Congress of Rheumatology 2021, Virtual.
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Thesis
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Peng, Junjie;
(2025)
Using multi-omic signatures and artificial intelligence (AI)/machine learning (ML) to predict long-term prognosis of patients with juvenile systemic lupus erythematosus.
Doctoral thesis (Ph.D), UCL (University College London).
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