Urinary Monocyte Chemoattractant Protein-1 in Patients With Alport Syndrome
Bibliographic record
Abstract
In patients with Alport syndrome, the rate of kidney function decline varies with genotype, chromosomal sex, and possibly other factors.1Quinlan C. Rheault M.N. Genetic basis of type IV collagen disorders of the kidney.Clin J Am Soc Nephrol. 2021; 16: 1101-1109https://doi.org/10.2215/CJN.19171220Crossref PubMed Scopus (24) Google Scholar We hypothesized that certain urinary biomarkers can predict the rate of kidney function decline in patients with Alport syndrome. We collected urine samples from 76 patients with Alport syndrome (39 male, 37 female) recruited through the Alport Syndrome Treatments and Outcomes Registry (ClinicalTrials.gov identifiers NCT00481130 and NCT01602835) and from 40 healthy adult and 11 healthy pediatric volunteers. The samples were assayed for the concentrations of 18 proteins and corrected for urine creatinine concentration (Supplementary Methods). In a subset of 28 patients with Alport syndrome, both baseline and 5-year urine samples were collected. Data from medical records (serum creatinine levels and height) were used to calculate estimated glomerular filtration rates (eGFRs) and the slope of decline in eGFR (ml/min per 1.73 m2 per year) from baseline to 5-year follow-up, using the CKiDs formula for pediatric patients and the unbiased Chronic Kidney Disease Epidemiology Collaboration formula for adults (Supplementary Methods).S1,S2 Regression analysis was used to evaluate the relationship between baseline urine biomarker levels and the slope of eGFR decline (Supplementary Methods). All study procedures were approved by the Institutional Review Board of the University of Minnesota. Written consent was obtained from patients at baseline and at follow-up sample collection. The 28 patients with Alport syndrome with baseline and 5-year data included 19 males and 9 females (Table 1). The males were younger at baseline and had higher baseline and 5-year eGFRs than the females; these differences were statistically significant at baseline but did not reach statistical significance at 5 years. Of the 28 patients, 27 received treatment with an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker. The rate of decline in eGFR was similar in males and females. Baseline urinary monocyte chemoattractant protein-1 (MCP-1)/creatinine (Cr) levels were higher in males than in females, but this difference was not statistically significant. Urinary MCP-1/Cr levels at 5 years were higher in males, and this difference was statistically significant (Supplementary Figure S1).Table 1Characteristics of patients with baseline and 5-year urine samplesPatient characteristicsMales (n = 19)Females (n = 9)SignificanceAge0.0001 Mean1436 SD1015 Range6–5111–52X-linked AS177NSHearing loss115NSACEi/ARB198NSBaseline eGFR0.0063 Mean12683 SD3324 Range4–19036–114eGFR at second time point0.0684 Mean10476 SD3123 Range24–13535–110eGFR slopeNS Mean−2−1 SD52 Range−16 to 5−5 to 2Baseline MCP-1/CrNS Mean63.6 SD0.81.0 Range0.4–12.71.0–9.4MCP-1/Cr at second time point0.0099 Mean63.4 SD0.90.45 Range1.3–14.51.6–6.0ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; AS, Alport syndrome; Cr, creatinine; eGFR, estimated glomerular filtration rate; MCP-1, monocyte chemoattractant protein-1; NS, not significant. Open table in a new tab ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; AS, Alport syndrome; Cr, creatinine; eGFR, estimated glomerular filtration rate; MCP-1, monocyte chemoattractant protein-1; NS, not significant. Urinary MCP-1/Cr levels were significantly higher in patients with Alport syndrome than in healthy volunteers (Figure 1a). In the 28 patients followed for 5 years, correlation and univariate regression analysis revealed that baseline urinary MCP-1/Cr was negatively correlated with the slope of eGFR decline (Figure 1b and Supplementary Table S1), but this relationship did not reach statistical significance (P = 0.072). Urine MCP-1/Cr was found to have a significant negative correlation with the slope of eGFR decline in the 19 male patients with Alport syndrome (P = 0.0473), but it was not significantly correlated with the slope of eGFR decline in the 9 female patients with Alport syndrome (Figure 1c and d). In male patients with Alport syndrome, after age adjustment, the negative association between baseline urinary MCP-1/Cr and eGFR slope was marginally significant (P = 0.056) (Supplementary Table S1). MCP-1 is a powerful regulator of monocyte migration and infiltration that has been implicated in the progression of chronic kidney diseases.2Mansour S.G. Puthumana J. Coca S.G. et al.Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review.BMC Nephrol. 2017; 18: 72https://doi.org/10.1186/s12882-017-0490-0Crossref PubMed Scopus (75) Google Scholar Malhotra et al. found that baseline urinary MCP-1 levels were associated with a significantly increased risk of 50% decline in eGFR or kidney failure in participants with nondiabetic chronic kidney disease in the SPRINT trial,3Malhotra R. Katz R. Jotwani V. et al.Urine markers of kidney tubule cell injury and kidney function decline in SPRINT trial participants with CKD.Clin J Am Soc Nephrol. 2020; 15: 349-358https://doi.org/10.2215/CJN.02780319Crossref PubMed Scopus (47) Google Scholar whereas Puthumana et al.4Puthumana J. Thiessen-Philbrook H. Xu L. et al.Biomarkers of inflammation and repair in kidney disease progression.J Clin Invest. 2021; 131e139927https://doi.org/10.1172/JCI139927Crossref PubMed Scopus (85) Google Scholar observed that higher urinary MCP-1 levels were associated with greater eGFR decline after hospitalization. Angiotensin II is a known inducer of MCP-1 expression in the kidney, and there is ample evidence of increased angiotensin II activity in experimental and human Alport syndrome.5Wolf G. Schneider A. Helmchen U. Stahl R.A. AT1-receptor antagonists abolish glomerular MCP-1 expression in a model of mesangial proliferative glomerulonephritis.Exp Nephrol. 1998; 6: 112-120https://doi.org/10.1159/000020513Crossref PubMed Google Scholar,6Gross O. Beirowski B. Koepke M.L. et al.Preemptive ramipril therapy delays renal failure and reduces renal fibrosis in COL4A3-knockout mice with Alport syndrome.Kidney Int. 2003; 63: 438-446https://doi.org/10.1046/j.1523-1755.2003.00779.xAbstract Full Text Full Text PDF PubMed Scopus (198) Google Scholar MCP-1 has been found to be up-regulated in the kidneys of mice with Alport syndrome, and elevated kidney levels of MCP-1 precede kidney function decline.7Falcone S. Wisby L. Nicol T. et al.Modification of an aggressive model of Alport syndrome reveals early differences in disease pathogenesis due to genetic background.Sci Rep. 2019; 9: 20398https://doi.org/10.1038/s41598-019-56837-6Crossref PubMed Scopus (10) Google Scholar Induction of kidney MCP-1 activity was found to be a downstream effect of tumor necrosis factor-α in a mouse with Alport syndrome model.8Ryu M. Mulay S.R. Miosge N. Gross O. Anders H.J. Tumour necrosis factor-α drives Alport glomerulosclerosis in mice by promoting podocyte apoptosis.J Pathol. 2012; 226: 120-131https://doi.org/10.1002/path.2979Crossref PubMed Scopus (47) Google Scholar Falcone et al.7Falcone S. Wisby L. Nicol T. et al.Modification of an aggressive model of Alport syndrome reveals early differences in disease pathogenesis due to genetic background.Sci Rep. 2019; 9: 20398https://doi.org/10.1038/s41598-019-56837-6Crossref PubMed Scopus (10) Google Scholar studied strain-specific differences in rate of kidney function decline in mice with ARAS because of a col4a4 point mutation. These investigators found that strain-determined inflammatory activity in kidneys, including MCP-1, correlated with the rate of kidney function decline and suggested that urinary MCP-1 could be a useful biomarker of Alport kidney disease progression. The finding of elevated urinary MCP-1/Cr levels in male and female patients with Alport syndrome suggests the presence of inflammatory activity in the kidneys of these patients, consistent with findings in animal models and human Alport kidney biopsies.9Jedlicka J. Soleiman A. Draganovici D. et al.Interstitial inflammation in Alport syndrome.Hum Pathol. 2010; 41: 582-593https://doi.org/10.1016/j.humpath.2009.08.024Crossref PubMed Scopus (28) Google Scholar Male patients with Alport syndrome in our study had, as a group, normal eGFR level, indicating kidney inflammation may be present early in the course of Alport syndrome. Amelioration of angiotensin II-mediated increases in MCP-1 activity may be one of the beneficial effects of early blockade of the renin-angiotensin-aldosterone system in Alport syndrome. There are several limitations to our study. The number of subjects with baseline and 5-year samples, and at least 3 eGFR determinations, is relatively small. As this was a hypothesis-generating study, we evaluated multiple proteins in a relatively small patient cohort. We could not confirm COL4A3/COL4A4/COL4A5 genotype in all patients, although most were determined to have X-linked disease based on genotype or family pedigree. We were also unable to determine MCP-1 genotype, which has been correlated with chronic kidney disease risk in a previous study. Our findings suggest that urinary MCP-1/Cr levels at baseline may be associated with a more rapid subsequent rate of kidney function loss in male patients with Alport syndrome. Monitoring of urinary MCP-1/Cr during clinical trials may provide useful information regarding the effects of therapeutic interventions on inflammatory pathways in the kidneys of patients with Alport syndrome.S3 This study was funded by the Novartis Institute for Biomedical Research. Dr. Kashtan is Executive Director of the Alport Syndrome Treatments and Outcomes Registry (ASTOR, ClinicalTrials.gov Identifier NCT00481130), which was utilized to recruit participants in this study. ASTOR receives funding from the Alport Syndrome Foundation (alportsyndrome.org) and private donors. Dr. Kashtan is a site investigator for the CARDINAL trial of bardoxolone methyl sponsored by Reata Pharmaceuticals and for the HERA trial sponsored by Sanofi-Genzyme. Dr. Kashtan has recent or current consulting relationships with Travere Therapeutics, ONO Pharmaceuticals, Daiichi-Sankyo, Boerhinger-Ingelheim, BridgeBio and METiS Pharmaceuticals. Lori Jennings, Nancy Finkel and Xin Liu are employees and stockholders of Novartis. Download .pdf (.13 MB) Help with pdf files Supplementary File (PDF) Supplementary Methods Figure S1. Spaghetti plot of baseline and 5-year urinary MCP-1/Cr levels in male and female patients with Alport. Table S1. Association of urinary MCP-1/Cr levels and eGFR slope using linear regression modeling. Supplementary References (PDF).
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Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".