Summary of Study ST002732
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001696. The data can be accessed directly via it's Project DOI: 10.21228/M8GM73 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002732 |
Study Title | Impaired metabolism predicts coronary artery calcification in women with systemic lupus erythematosus |
Study Summary | Background. Patients with systemic lupus erythematosus (SLE) exhibit a high risk for cardiovascular diseases which is not fully explained by the classical Framingham risk factors. SLE is characterized by major metabolic alterations which could contribute to the elevated prevalence of CVD. In order to address this hypothesis, a comprehensive analysis of the circulating metabolome and lipidome was conducted in a large cohort of 211 women with SLE who underwent a multi-detector computed tomography (CT) scan for quantification of coronary artery calcium (CAC), a robust predictor of coronary heart disease (CHD). Results. Beyond traditional risk factors, including age and hypertension, disease activity and duration were independent risk factor for developing CAC in women with SLE. The presence of coronary calcium was associated with major alterations of circulating lipidome dominated by a high abundance of circulating ceramides with very long chain fatty acids. Alteration in multiple metabolic pathways, including purine metabolism, arginine and proline metabolism, and microbiota-derived metabolites, were also associated with CAC in women with SLE. Backward stepwise logistic regression models of lipidomic and metabolomic variables were used to develop prognostic scores. Strikingly, combining metabolic and lipidomic variables to clinical and biological parameters markedly improved the prediction (Area under the curve: 0.887, P<0.001) of the presence of coronary calcium in women with SLE. Conclusion. The present study uncovers the contribution of disturbed metabolism in the presence of coronary artery calcium and the prediction of CHD in SLE. The identification of these novel lipid and metabolite biomarkers may help to stratify patients for reducing CVD morbidity and mortality in SLE. |
Institute | INSERM |
Last Name | Le Goff |
First Name | Wilfried |
Address | 91, bd de l'Hopital |
wilfried.le_goff@sorbonne-universite.fr | |
Phone | +33140779638 |
Submit Date | 2023-06-07 |
Num Groups | 3 |
Total Subjects | 228 |
Raw Data Available | Yes |
Raw Data File Type(s) | wiff |
Analysis Type Detail | LC-MS |
Release Date | 2023-06-25 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001696 |
Project DOI: | doi: 10.21228/M8GM73 |
Project Title: | Impaired metabolism predicts coronary artery calcification in women with systemic lupus erythematosus |
Project Type: | Clinical study |
Project Summary: | Background. Patients with systemic lupus erythematosus (SLE) exhibit a high risk for cardiovascular diseases (CVD) which is not fully explained by the classical Framingham risk factors. SLE is characterized by major metabolic alterations which can contribute to the elevated prevalence of CVD. In order to address this hypothesis, a comprehensive analysis of the circulating metabolome and lipidome was conducted in a large cohort of 211 women with SLE who underwent a multi-detector computed tomography scan for quantification of coronary artery calcium (CAC), a robust predictor of coronary heart disease (CHD). Results. Beyond traditional risk factors, including age and hypertension, disease activity and duration were independent risk factor for developing CAC in women with SLE. The presence of coronary calcium was associated with major alterations of circulating lipidome dominated by an elevated abundance of ceramides with very long chain fatty acids. Alterations in multiple metabolic pathways, including purine, arginine and proline metabolism, and microbiota-derived metabolites, were also associated with CAC in women with SLE. Backward stepwise logistic regression models of lipidomic and metabolomic variables were used to develop prognostic scores. Strikingly, combining metabolic and lipidomic variables with clinical and biological parameters markedly improved the prediction (area under the curve: 0.887, P<0.001) of the presence of coronary calcium in women with SLE. Conclusion. The present study uncovers the contribution of disturbed metabolism to the presence of coronary artery calcium and the prediction of CHD in SLE. Identification of novel lipid and metabolite biomarkers may help stratifying patients for reducing CVD morbidity and mortality in SLE. |
Institute: | INSERM |
Last Name: | Lhomme |
First Name: | Marie |
Address: | Bd de l'hopital, Paris, Ile de France, 75013, France |
Email: | m.lhomme@ihuican.fr |
Phone: | +33184827767 |
Subject:
Subject ID: | SU002838 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Group |
---|---|---|
SA274792 | P_207 | High |
SA274793 | P_97 | High |
SA274794 | P_107 | High |
SA274795 | P_93 | High |
SA274796 | P_67 | High |
SA274797 | P_158 | High |
SA274798 | P_153 | High |
SA274799 | P_57 | High |
SA274800 | P_60 | High |
SA274801 | P_3 | High |
SA274802 | P_15 | High |
SA274803 | P_205 | High |
SA274804 | P_49 | High |
SA274805 | P_134 | High |
SA274806 | P_20 | High |
SA274807 | P_119 | High |
SA274808 | P_131 | High |
SA274809 | P_32 | High |
SA274810 | P_95 | High |
SA274811 | P_192 | High |
SA274812 | P_77 | Med |
SA274813 | P_208 | Med |
SA274814 | P_55 | Med |
SA274815 | P_190 | Med |
SA274816 | P_16 | Med |
SA274817 | P_143 | Med |
SA274818 | P_24 | Med |
SA274819 | P_47 | Med |
SA274820 | P_129 | Med |
SA274821 | P_133 | Med |
SA274822 | P_101 | Med |
SA274823 | P_169 | Med |
SA274824 | P_167 | Med |
SA274825 | P_111 | Med |
SA274826 | P_64 | Med |
SA274827 | P_165 | Med |
SA274828 | P_178 | Med |
SA274829 | P_100 | Med |
SA274830 | P_166 | Med |
SA274831 | P_7 | Med |
SA274832 | P_17 | Med |
SA274833 | P_113 | Med |
SA274834 | P_159 | Med |
SA274835 | P_132 | Med |
SA274836 | P_14 | Med |
SA274837 | P_141 | Med |
SA274838 | P_186 | Med |
SA274839 | P_56 | Med |
SA274840 | P_210 | Med |
SA274841 | P_155 | Med |
SA274842 | P_147 | Med |
SA274843 | P_172 | Med |
SA274844 | P_149 | Med |
SA274845 | P_80 | Med |
SA274846 | P_127 | Med |
SA274847 | P_83 | Med |
SA274848 | P_130 | Med |
SA274849 | P_146 | Med |
SA274850 | P_88 | Med |
SA274851 | P_170 | Med |
SA274852 | P_115 | Med |
SA274853 | P_145 | Med |
SA274854 | P_138 | Med |
SA274855 | P_86 | Med |
SA274856 | P_125 | Med |
SA274857 | P_85 | Med |
SA274858 | P_211 | Med |
SA274859 | P_176 | Null |
SA274860 | P_173 | Null |
SA274861 | P_195 | Null |
SA274862 | P_157 | Null |
SA274863 | P_164 | Null |
SA274864 | P_175 | Null |
SA274865 | P_200 | Null |
SA274866 | P_151 | Null |
SA274867 | P_177 | Null |
SA274868 | P_41 | Null |
SA274869 | P_197 | Null |
SA274870 | P_162 | Null |
SA274871 | P_201 | Null |
SA274872 | P_191 | Null |
SA274873 | P_188 | Null |
SA274874 | P_161 | Null |
SA274875 | P_206 | Null |
SA274876 | P_209 | Null |
SA274877 | P_182 | Null |
SA274878 | P_148 | Null |
SA274879 | P_154 | Null |
SA274880 | P_21 | Null |
SA274881 | P_152 | Null |
SA274882 | P_189 | Null |
SA274883 | P_184 | Null |
SA274884 | P_204 | Null |
SA274885 | P_181 | Null |
SA274886 | P_29 | Null |
SA274887 | P_198 | Null |
SA274888 | P_179 | Null |
SA274889 | P_183 | Null |
SA274890 | P_171 | Null |
SA274891 | P_193 | Null |
Collection:
Collection ID: | CO002831 |
Collection Summary: | Patients included in this study (211 female subjects with median age of 43.5 years [range 19-78 years]) were followed at the French National Reference Center for SLE (Pitié-Salpêtrière Hospital, Paris, France) between January 2014 and December 2017. SLE was defined according to international guidelines (ACR) 19. Antiphospholipid syndrome (APS) was defined according to the revised Sapporo criteria 20. Each patient underwent a multi-detector CT scan (Siemens syngo.CT CaScoring) and CAC was quantified by means of the previously described Agatston scoring method 21. Duration of the disease, clinical involvements (skin, seritis, hematology, joints and nervous system), treatment regimens (steroids, methotrexate and hydroxychloroquine) and SLE variables (C3, anti-dsDNA, anti-nuclear and antiphospholipid (aPL) antibodies) are presented in Table 1. Disease activity was estimated by the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) score. The presence of cardiovascular risk factors, including hypertension, hypercholesterolemia, diabetes, obesity, smoking status, family or previous personal history of cardiovascular events and inflammation (US-CRP) was determined for all patients (Table 1). Patients were classified into 3 groups of coronary heart disease (CHD) risk according to the calcium score as defined by the Multi-Ethnic Study of Atherosclerosis (MESA) study 22 (low, CAC=0; moderate, 0 < CAC < 100, and high, CAC > 100). |
Sample Type: | Blood (plasma) |
Treatment:
Treatment ID: | TR002847 |
Treatment Summary: | A blood sample was collected at the day of the CT scan for each patient by venipuncture from the antecubital vein into sterile BD Vacutainer tubes containing clot activator. Serum was separated immediately by low-speed centrifugation at 2500 rpm for 20 min at 4°C and was stored at -80°C until use. |
Sample Preparation:
Sampleprep ID: | SP002844 |
Sampleprep Summary: | Serum lipids were extracted using a modified Folch method 26. Briefly, 10 µl serum supplemented with a mixture of internal standards were extracted using 1600 μl of acidified methanol:0.05N HCl (1:1 v/v) and 800 μl chloroform in the presence of an antioxidant, butylated hydroxytoluene. The lower organic phase was dried and lipids were reconstituted into 40µl of LC-MS compatible solvent and were quantified by LC-MS/MS. |
Combined analysis:
Analysis ID | AN004429 | AN004430 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | HILIC | HILIC |
Chromatography system | Shimadzu 20AD | Shimadzu 20AD |
Column | Phenomenex Kinetex HILIC (150 x 3mm,2.6um) | Phenomenex Kinetex HILIC (150 x 3mm,2.6um) |
MS Type | ESI | ESI |
MS instrument type | Triple quadrupole | Triple quadrupole |
MS instrument name | ABI Sciex 4000 QTrap | ABI Sciex 4000 QTrap |
Ion Mode | POSITIVE | POSITIVE |
Units | relative difference | relative difference |
Chromatography:
Chromatography ID: | CH003328 |
Instrument Name: | Shimadzu 20AD |
Column Name: | Phenomenex Kinetex HILIC (150 x 3mm,2.6um) |
Column Temperature: | 45 |
Flow Gradient: | - |
Flow Rate: | 300ul/min |
Solvent A: | 100% water; 0.2% acetic acid; 30mM ammonium acetate |
Solvent B: | 100% acetonitrile; 0.2% acetic acid |
Chromatography Type: | HILIC |
MS:
MS ID: | MS004176 |
Analysis ID: | AN004429 |
Instrument Name: | ABI Sciex 4000 QTrap |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | MRM acquisition of low abundant phospho- and sphingolipid classes: PS, PA, LPC, LPE, cer, PG, PI, PE, PE-P this acquisition is called "short" |
Ion Mode: | POSITIVE |
MS ID: | MS004177 |
Analysis ID: | AN004430 |
Instrument Name: | ABI Sciex 4000 QTrap |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | MRM acquisition of abundant lipids following 100fold dilution for PC and SM analysis. This acquisition is called "short10x" |
Ion Mode: | POSITIVE |