Back

Utility of Plasma Cell-free Chromatin Immunoprecipitation to Detect Cardiac Allograft Rejection

Jang, M. K.; Oluwayiose, O.; Redekar, N.; Andargie, T. E.; Park, W.; Alnababteh, M.; Hill, T.; Phipps, K.; Kong, H.; Tian, X.; Luikart, H.; Solomon, M. A.; Shah, P.; Valantine, H. A.; Khush, K. K.; Agbor-Enoh, S.

2025-03-05 transplantation
10.1101/2025.03.04.25323391 medRxiv
Show abstract

BackgroundAntibody-mediated rejection (AMR) remains the major risk factor for allograft loss across all solid organ transplantation. Unfortunately, its diagnosis relies on biopsy, an invasive gold standard that often sample unaffected allograft tissue leading to missed diagnosis. Plasma donor-derived cell-free DNA (dd-cfDNA) is noninvasive biomarker that has high sensitivity but low specificity for AMR diagnosis. This proof-of-concept study assessed the utility of cell-free chromatin immunoprecipitation (cfChIP) as a surrogate for gene expression to detect cardiac AMR and the associated pathobiology. MethodsThe discovery GRAfT multicenter cohort of heart transplant patients (NCT02423070) identified AMR, acute cellular rejection (ACR), and stable controls based on biopsy and dd-cfDNA results. Plasma cfChIP-sequencing was performed to identify peaks, associated genes and pathobiological pathways. Plasma from an external cohort (GTD, NCT01985412) was also analyzed to verify pathways identified. Digital droplet PCR (ddPCR) assays targeting differential regions were constructed to test the diagnostic performance of cfDNA to detect AMR/ACR from stable controls (rejection-specific assays) or AMR from ACR (AMR-specific assays). ResultsThe cohort included 21 AMR, 28 ACR, and 45 stable controls from GRAfT and GTD, and 23 healthy controls. cfChIP detected expected active genes, including housekeeping genes and gene targets of transplant immunosuppressive drugs but not inactive genes. Unsupervised clustering of the discovery GRAfT cohort assigned 95% of samples correctly as AMR, ACR or stable control. Differential analysis identified pathobiological pathways of AMR such as neutrophil degranulation and complement activation. The pathways were consistent in GTD samples. Rejection-specific assays detected AMR/ACR from controls with AUC of 0.78 - 0.95. AMR-specific assays detected AMR from ACR with AUC of 0.71 - 0.85, sensitivities of 0.73 - 0.94 and specificities of 0.73 - 0.80. ConclusionThis study provides valuable preliminary data supporting the use of cfChIP to detect AMR and the associated pathobiological pathways.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Transplantation
13 papers in training set
Top 0.1%
32.7%
2
The Journal of Heart and Lung Transplantation
10 papers in training set
Top 0.1%
14.2%
3
American Journal of Transplantation
15 papers in training set
Top 0.1%
14.2%
50% of probability mass above
4
The Journal of Infectious Diseases
182 papers in training set
Top 1%
3.6%
5
Frontiers in Immunology
586 papers in training set
Top 2%
3.6%
6
JCI Insight
241 papers in training set
Top 2%
2.9%
7
Journal of the American Society of Nephrology
52 papers in training set
Top 0.3%
2.1%
8
Annals of Internal Medicine
27 papers in training set
Top 0.3%
2.1%
9
PLOS ONE
4510 papers in training set
Top 52%
1.8%
10
Journal of Extracellular Vesicles
50 papers in training set
Top 0.2%
1.7%
11
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.7%
12
Science Translational Medicine
111 papers in training set
Top 3%
1.3%
13
Kidney International
25 papers in training set
Top 0.3%
1.3%
14
Journal of Clinical Medicine
91 papers in training set
Top 5%
0.9%
15
Kidney360
22 papers in training set
Top 0.5%
0.9%
16
Nature Communications
4913 papers in training set
Top 60%
0.9%
17
Circulation
66 papers in training set
Top 2%
0.8%
18
International Journal of Cardiology
13 papers in training set
Top 0.5%
0.8%
19
Journal of Thrombosis and Haemostasis
28 papers in training set
Top 0.7%
0.7%
20
npj Regenerative Medicine
21 papers in training set
Top 0.3%
0.7%
21
Scientific Reports
3102 papers in training set
Top 79%
0.6%
22
Cell Reports Medicine
140 papers in training set
Top 9%
0.6%
23
Computational and Structural Biotechnology Journal
216 papers in training set
Top 11%
0.6%
24
Circulation: Heart Failure
14 papers in training set
Top 0.6%
0.6%