Immune checkpoint inhibitors (ICIs) can cause immune-related adverse events (irAEs), with acute interstitial nephritis (ICI-AIN) being the most common irAE. While the exact mechanism remains unclear, upregulation of IFN-γ and TNF-α pathways has been implicated. This study used a humanized chimeric PD-1/PD-L1 mouse model to assess renal effects of ICIs, alone or combined with proinflammatory cytokines, and to test if selective TNF-α blockade could prevent ICI-AIN. Mice were randomly divided into 4 experimental groups: Control, ICI-Only, ICI-Cytokines (ICI-Cyt), and ICI-Block (ICI-TNF-α blockade). Renal function and cytokine profiles were assessed, while kidney tissue was analyzed using microscopy and single-cell RNA-seq. Histology revealed increased renal infiltration of CD4 + /CD8 + T cells in ICI-treated groups and decreased TNF-α expression following TNF-α blockade. Additionally, kidney tissue ELISA demonstrated reduced IFN-γ levels following TNF-α blockade. Plasma IL-6, MCP-1, and TNF-α were lower in ICI-Block mice. Single-cell RNA-seq revealed shifts in immune cell populations and genes of interest including Bcl2a1 , Icos , Il18r1 , Ccr2 , and Jaml . This humanized model replicates ICI-AIN key features, revealing a synergistic role of ICIs and proinflammatory cytokines. TNF-α blockade demonstrated protective effects, supporting its potential role in mitigating the risk of ICI-AIN.
F18-FDG PET–CT in immune checkpoint inhibitor-associated acute interstitial nephritis: what is the diagnostic value?
ABSTRACT Background Immune checkpoint inhibitor-associated acute interstitial nephritis (ICI-AIN) requires a kidney biopsy for a definitive diagnosis. A recent study suggested that 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography-computed tomography (F18-FDG PET–CT) may offer a noninvasive alternative, but lack of kidney biopsies in all patients and a proper control group receiving ICI therapy remained important limitations. We conducted the first study addressing these limitations and examined whether PET–CT could differentiate biopsy-proven ICI-AIN from other causes of acute kidney injury (AKI) in patients on ICI therapy. Methods This retrospective cohort study comprises 105 patients on ICI therapy who underwent F18-FDG PET–CT and had a kidney biopsy, along with data from a control group receiving ICIs without AKI. PET–CT scans were performed within 14 days before or 10 days after biopsy, and baseline PET-CTs obtained during ICI therapy before AKI, were reviewed by a blinded nuclear radiologist. Renal cortical standardized uptake values (SUV) were measured in five regions of interest, liver and blood-pool SUVs served as internal references. Results Thirty-two patients were included (5 ICI-AIN, 7 AKI from other causes, 20 controls). Renal SUVs did not differ significantly among groups. In patients with serial PET-CTs, kidney SUVs tended to increase from baseline to AKI in ICI-AIN, but these changes were not statistically significant. Conclusions In this biopsy-validated cohort, PET-CTs did not reliably distinguish ICI-AIN from other causes of AKI in patients receiving ICI therapy. Larger prospective studies are needed to validate these findings.
Urinary CXCL-9 outperforms TNF-α for non-invasive diagnosis of immune checkpoint inhibitor–associated acute interstitial nephritis
ABSTRACT Background Although kidney biopsy remains the gold standard for diagnosing immune checkpoint inhibitors–associated acute interstitial nephritis (ICI-AIN), several promising urinary biomarkers have emerged as potential non-invasive diagnostics. Notably, recent studies have highlighted tumor necrosis factor alpha (TNF-α), CXC motif chemokine ligand 9 (CXCL-9) and others as potential biomarkers to help distinguish ICI-AIN from other causes of acute kidney injury (AKI). However, a direct systematic comparison between these two biomarkers in a cohort of patients undergoing immunotherapy has not been performed. Methods We prospectively enrolled a cohort of ICI-treated cancer patients who developed AKI (including both ICI-AIN and ICI-Non-AIN AKI), as well as those without AKI, referred to as the internal validation cohort. Urinary CXCL-9 and TNF-α were measured across all groups using the human Quantikine ELISA Kit. We externally validated our findings in a cohort of biopsy proven ICI-AIN patients from Spain, referred to as the external validation cohort. Results Urinary CXCL-9 levels were significantly higher in ICI-AIN patients from Mayo (n = 40) compared with those with ICI-Non-AIN AKI (n = 36) and ICI-treated patients without AKI (n = 16) (both P ≤ .0001); these findings were confirmed in the validation cohort from Spain (n = 19) with P-values of .0008 and <.0001, respectively. The area under the curve (AUC) for urinary CXCL-9 distinguishing ICI-AIN biopsy proven (combined from both cohorts, n = 45) from ICI-Non-AIN AKI was 0.83 (95% confidence interval 0.74–0.92), while for urinary TNF-α the AUC was 0.63 (0.51–0.75). Conclusions Increased urinary CXCL-9 was superior to TNF-α as a biomarker for the non-invasive diagnosis of ICI-AIN, even after prior corticosteroid exposure, highlighting its promise as clinical diagnostic tool.
Urine Proteomics of Primary vs. Secondary Focal Segmental Glomerulosclerosis: Is There a Potential Noninvasive Urine Biomarker?