Evidence map›Paper›PMID 41578061›Full record

ArticleApplied microbiology and biotechnology2026

A broadly applicable split-luciferase biosensor approach for rapid antibody detection in emerging infectious diseases.

Xuesai Li, Qingli Niu, Jinming Wang, Yijun Chai, Xiaoyu Zou, Hualin Sun, Hong Yin, Siyuan Dou, Guiquan Guan, Jifei Yang

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 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

10 authors.

Xuesai LiState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Qingli NiuState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Jinming WangState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Yijun ChaiState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Xiaoyu ZouState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Hualin SunState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Hong YinState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Siyuan DouGansu Provincial Center for Animal Disease Control and Prevention, Lanzhou, Gansu, 730046, People's Republic of China.
Guiquan GuanState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China. guanguiquan@caas.cn.
Jifei YangState Key Laboratory of Animal Disease Control and Prevention, African Swine Fever Regional Laboratory of China (Lanzhou), Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China. yangjifei@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional immunoassays such as ELISA are widely used in serological testing, yet their reliance on multi-step workflows and labeled reagents limits diagnostic scalability and speed. Bioluminescence-based biosensors are attractive alternatives that offer high sensitivity, operational simplicity, and cost efficiency for detecting diverse analytes. Here, we present a broadly compatible bioluminescent biosensor for antibody detection based on analyte-mediated reconstitution of split-Nanoluciferase (NanoLuc). The platform utilizes engineered bifunctional probes, comprising the protein G C2 domain fused to split-NanoLuc subunits (LgBiT and SmBiT), which serve dual functions in antibody binding and signal generation. Upon immunocomplex formation with multi-epitope antigens, the probes colocalize LgBiT and SmBiT, reconstituting NanoLuc activity and producing a quantifiable bioluminescent signal. We implemented this Fc-binding split-NanoLuc complementation assay to detect antibodies against African swine fever virus (ASFV). The optimized system showed high sensitivity, a wide linear dynamic range, and no cross-reactivity with sera positive for other common swine viruses. Clinical validation exhibited 97.11% agreement with a commercial ELISA kit, confirming its practicality and reliability. Furthermore, the sensor platform was seamlessly adapted to detect antibodies against SARS-CoV-2 and Chikungunya virus (CHIKV) without requiring additional molecular design or reconfiguration, highlighting its inherent versatility. By leveraging the broadly applicable Fc-binding capacity of protein G and the intrinsic modularity of split-NanoLuc, this strategy streamlines assay development and eliminates the need for species-specific secondary antibodies. Together, our findings demonstrate a proof-of-concept biosensor approach that could be further developed into a useful tool for rapid antibody detection in emerging infectious disease settings. KEY POINTS: • Fungal biological processes alter upon illumination, also under the microscope • Red shifted fluorescent protein toolboxes decrease interference by illumination • Innovations like two-photon, lightsheet, and near IR microscopy reduce phototoxicity.

Indexed as

Antibodies, ViralBiosensing TechniquesCommunicable Diseases, EmergingLuciferasesAnimalsCOVID-19Enzyme-Linked Immunosorbent AssayHumansLuminescent MeasurementsRapid Diagnostic TestsReproducibility of ResultsSARS-CoV-2Sensitivity and SpecificitySwineAntibodies, ViralLuciferasesAfrican swine feverAntibody detectionBiosensorChikungunya feverCOVID-19Emerging infectious diseasesSplit-luciferase system

Identifiers

PMID41578061
PMCPMC12831671

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.