Back

Dual-Layer Serological Encoding: Integrating Pathogen-Derived and Host-Reactive Peptide Signatures Reveals Complementary Dimensions of HIV Immune Response

Schmidt, D.; Biniaminov, S.; Biniaminov, N.; von Bojnicic-Kninski, C.; Popov, R.; Maier, J.; Bernauer, H.; Griesbaum, J.; Schneiderhan-Marra, N.; Dulovic, A.; Nesterov-Mueller, A.

2026-04-22 immunology
10.64898/2026.04.20.719572 bioRxiv
Show abstract

Serological diagnostics traditionally rely on pathogen-derived antigens to detect infection-specific antibody responses. Chronic infections also induce systemic immune remodeling that may be reflected in global antibody reactivity patterns beyond antigen specificity. Here we evaluate a dual-layer serological framework combining HIV-derived peptides with a host-derived peptide library designed to capture distributed antibody reactivity patterns. Using strict nested cross-validation in a cohort of 105 individuals, pathogen-derived 12-mer peptides achieved high classification performance with an AUC of 0.891, whereas the 10-mer host-based peptide library alone yielded moderate but statistically significant discrimination with an AUC of 0.805. Integration via regularized stacking resulted in only a modest additive improvement, reaching an AUC of 0.897, indicating partial redundancy in diagnostic ranking. In contrast, entropy and inequality analyses revealed substantial immune repertoire restructuring in HIV-positive individuals, characterized by reduced Shannon entropy and significant correlations between classifier probability and repertoire concentration. These findings support a dual-layer model of serology in which the integration of pathogen-derived and host-derived peptides into a meta model encode antigen specificity, whereas host-reactive signatures reflect systemic immune topology. Distinguishing diagnostic ranking from immune-state encoding provides a conceptual framework for multi-layer serological diagnostics.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 9%
14.9%
2
Cell Systems
167 papers in training set
Top 0.9%
10.6%
3
Frontiers in Immunology
586 papers in training set
Top 0.6%
10.2%
4
PLOS Computational Biology
1633 papers in training set
Top 5%
6.4%
5
Advanced Science
249 papers in training set
Top 3%
6.4%
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 16%
4.4%
50% of probability mass above
7
eLife
5422 papers in training set
Top 22%
4.0%
8
Cell Reports
1338 papers in training set
Top 13%
4.0%
9
Immunity
58 papers in training set
Top 1%
3.6%
10
Cell Reports Medicine
140 papers in training set
Top 2%
3.3%
11
Science Translational Medicine
111 papers in training set
Top 1%
2.9%
12
Science Advances
1098 papers in training set
Top 17%
1.7%
13
Scientific Reports
3102 papers in training set
Top 59%
1.7%
14
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
15
iScience
1063 papers in training set
Top 24%
1.0%
16
ACS Nano
99 papers in training set
Top 3%
0.9%
17
PLOS Biology
408 papers in training set
Top 16%
0.9%
18
eBioMedicine
130 papers in training set
Top 3%
0.9%
19
Communications Biology
886 papers in training set
Top 18%
0.9%
20
PLOS Pathogens
721 papers in training set
Top 8%
0.8%
21
Nature Medicine
117 papers in training set
Top 4%
0.8%
22
EMBO Molecular Medicine
85 papers in training set
Top 4%
0.8%
23
Molecular Systems Biology
142 papers in training set
Top 2%
0.8%
24
PLOS ONE
4510 papers in training set
Top 69%
0.7%
25
Cellular & Molecular Immunology
14 papers in training set
Top 2%
0.7%
26
Nature Immunology
71 papers in training set
Top 2%
0.7%
27
Genome Medicine
154 papers in training set
Top 8%
0.7%
28
The Journal of Immunology
146 papers in training set
Top 2%
0.7%
29
Computers in Biology and Medicine
120 papers in training set
Top 6%
0.5%
30
Nature Computational Science
50 papers in training set
Top 2%
0.5%