Dataset Information

Discovery of Novel Circulating Immune Complexes in Lupus Nephritis Using Immunoproteomics

ABSTRACT: The goal is to discover novel circulating immune complexes (ICx) in the serum of Lupus Nephritis (LN) as potential biomarkers. Protein A/G magnetic beads or C1q-coated plates were used to capture ICx in the serum of LN, followed by the identification of immunoglobulin-binding proteins using liquid chromatography and tandem mass spectrometry (LC-MS/MS). Six related genomic-level databases were used for selecting potential biomarkers, following ELISA validation with independent samples.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Lupus Nephritis

SUBMITTER: chenling tang

LAB HEAD: Tianfu Wu

PROVIDER: PXD031069 | Pride | 2022-05-20

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 8

Publications

Discovery of Novel Circulating Immune Complexes in Lupus Nephritis Using Immunoproteomics.

Tang Chenling C Fang Min M Tan Gongjun G Zhang Shu S Yang Bowen B Li Yaxi Y Zhang Ting T Saxena Ramesh R Mohan Chandra C Wu Tianfu T

Frontiers in immunology 20220324

<h4>Objective</h4>The goal is to discover novel circulating immune complexes (ICx) in the serum of lupus nephritis (LN) as potential biomarkers.<h4>Methods</h4>Protein A/G magnetic beads or C1q-coated plates were used to capture ICx in the serum of LN, followed by the identification of immunoglobulin-binding proteins using liquid chromatography and tandem mass spectrometry (LC-MS/MS). Bioinformatic approaches and single-cell RNA sequencing (scRNA Seq) databases were used to select potential cand ...[more]

PMID: 35419005

Similar Datasets

Project description:Introduction: Pediatric systemic lupus erythematosus (pSLE) patients often initially present with more active and severe disease than adults, including a higher frequency of lupus nephritis. Specific autoantibodies, including anti-C1q, anti-DNA and anti-alpha-actinin, have been associated with kidney involvement in SLE, and DNA antibodies are capable of initiating early stage lupus nephritis in severe combined immunodeficiency (SCID) mice. Over 100 different autoantibodies have been described in SLE patients, highlighting the need for comprehensive autoantibody profiling. Knowledge of the antibodies associated with pSLE and proliferative nephritis will increase the understanding of SLE pathogenesis, and may aid in monitoring patients for renal flare. Methods: We used autoantigen microarrays composed of 140 recombinant or purified antigens to compare the serum autoantibody profiles of new-onset pSLE patients (n=45) to healthy controls (n=17). We also compared pSLE patients with biopsy-confirmed class III or IV proliferative nephritis (n=23) and without significant renal involvement (n=18). We performed ELISA with selected autoantigens to validate the microarray findings. We created a multiple logistic regression model, based on the ELISA and clinical information, to predict whether a patient had proliferative nephritis, and used a validation cohort (n=23) and longitudinal samples (88 patient visits) to test its accuracy. Results: Fifty autoantibodies were at significantly higher levels in the sera of pSLE patients compared to healthy controls, including anti-B-cell activating factor (BAFF). High levels of anti-BAFF were associated with active disease. Thirteen serum autoantibodies were present at significantly higher levels in pSLE patients with proliferative nephritis than those without, and we confirmed five autoantigens (dsDNA, C1q, collagens IV & X and aggrecan) by ELISA. Our model, based on ELISA measurements and clinical variables, correctly identified patients with proliferative nephritis with 91% accuracy. Conclusions: Autoantigen microarrays are an ideal platform for identifying autoantibodies associated with both pSLE and specific clinical manifestations of pSLE. Using multiple regression analysis to integrate autoantibody and clinical data permits accurate prediction of clinical manifestations with complex etiologies in pSLE.

Project description:We aimed to identify miRNA biomarkers of renal injury in kidney biopsies from patients with lupus nephritis. MiRNA profiles of 8 patients were analyzed for correlation with various clinical features including Progression, Activity, Chronicity, and Time to Kidney Failure. MicroRNAs (miRs) are promising biomarkers and are involved in pathogenesis of kidney diseases. We aimed to identify miR biomarkers of renal injury in kidney biopsies from patients with lupus nephritis and study their potential role in renal fibrosis. miR-150 was significantly increased in kidneys with high chronicity compared to low chronicity and it correlated positively with chronicity index scores and renal collagen I expression. In kidneys with high chronicity, miR-150 was found predominantly in proximal tubular cells (PTCs) and was moderately expressed in podocytes and to lesser degree in mesangial cells (MCs). We hypothesized that miR-150 increases fibrosis by downregulating a negative regulator of profibrotic proteins. Suppressor of cytokine signaling1 (SOCS1) is a predicted target of miR-150 and has shown antifibrotic role. After confirming that SOCS1 is a direct target of miR-150, we showed that transfection of a miR-150 analog downregulated SOCS1 protein and upregulated the profibrotic proteins fibronectin, collagen I, collagen III, and TGF-β1 in both primary normal human renal PTCs and MCs. A similar effect was seen when using a SOCS1 siRNA to confirm that the effect of miR-150 on profibrotic proteins is mediated through SOCS1. Stimulation with TGF-β1 induced miR-150 increase in PTCs and human podocytes but not MCs. These results suggest that miR-150 might be a useful quantitative renal biomarker of kidney injury in lupus nephritis and that miR-150, which might be partially induced by TGF-β1, plays an important role in renal fibrosis by increasing profibrotic molecules through downregulation of SOCS1. FFPE kidney specimens (n=25) including baseline and repeated needle renal biopsies were from 14 patients with LN enrolled in IRB-approved protocols at the NIDDK between 1976 and 1999. The specimens were divided in two groups based on histological chronicity index (CI). CI ≥ 4 were categorized as having high degree of chronicity of chronic kidney injury. 18 kidneys from 8 patients including high CI (n=9) and low CI (n=9) were used for miR profiling by Affymetrix microRNA microarrays.

			Action	DRS
	C1Q_HC.msf	Msf
	C1Q_HC.raw	Raw
	C1Q_LN.msf	Msf
	C1Q_LN.raw	Raw
	Protein_AG_HC.msf	Msf