Evidence map›Paper›PMID 42284414›Full record

ArticleScience advances2026

Integrated evaluation of antibody responses to mosquitoes and mosquito-borne pathogens using highly multiplexed serology.

Melodi Anahtar, Diana Striplet, Eben Philbin, Joshua R Lacsina, Jesus G Valenzuela, Michael A Johansson, Fabiano Oliveira, Laura Willen, Shaden Kamhawi, Auden Cote-L'Heureux and 4 more

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Melodi AnahtarDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-3475-3871
Diana StripletDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0009-0009-3710-0869
Eben PhilbinDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0009-0001-0986-3465
Joshua R LacsinaVector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0002-9956-8039
Jesus G ValenzuelaVector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0002-5589-9450
Michael A JohanssonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5090-7722
Fabiano OliveiraVector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0002-7924-8038
Laura WillenVector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0002-8027-8621
Shaden KamhawiVector Molecular Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Auden Cote-L'HeureuxDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-5793-7695
Peter D CromptonMalaria Infection Biology and Immunity Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0001-5629-0412
Tuan M TranDivision of Infectious Diseases, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-1928-861X
Sarah M FortuneDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-7565-9975
Daniel E NeafseyDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-1665-9323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vector-borne diseases (VBDs) are a leading cause of morbidity and mortality worldwide. Antigens driving host immune responses to pathogens and vectors can serve as vaccine candidates and biomarkers of previous exposure, but the immunogenicity of relevant proteomes remains undercharacterized. To comprehensively profile antibody responses to VBDs and the vectors themselves, we developed a highly multiplexed phage display library, VectorScan, containing more than 250,000 peptides derived from diverse arthropod vectors and prevalent vector-borne pathogens. We used phage immunoprecipitation sequencing to screen VectorScan against blood samples with experimental and natural exposures to arboviruses, malaria parasites, and mosquitoes. We analyzed quantitative measurements of peptide seroreactivity to identify epitopes driving viral serotype-level exposure signatures and mosquito sialome antigens. Mosquito-directed antibody responses were quantitatively associated with natural viral and parasite exposure. We leverage VectorScan to define the relationship between the intensity of mosquito exposure and the rate of malaria infection in children, demonstrating the public health utility of a tool for paired vector and pathogen serosurveillance.

Indexed as

Antibody FormationCulicidaeMosquito VectorsAnimalsArbovirusesHumansMosquito-Borne DiseasesPeptide LibraryPeptide Library

Identifiers

PMID42284414
PMCPMC13262612

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.