Longevity & AgingResearch PaperOpen Access

New Blood Test Accurately Identifies Typhoid Fever Across Three Countries

A dual-antigen IgA assay distinguishes enteric fever from other febrile illnesses with 93% accuracy across Bangladesh, Nepal, and Pakistan.

Friday, October 2, 2026 3 views
Published in Emerg Infect Dis
Close-up of a plasma blood sample vial next to a lateral flow test strip, warm clinical lab lighting, South Asian hospital background.

Summary

Researchers evaluated two immune markers — antibodies to hemolysin E (HlyE) and lipopolysaccharide (LPS) from Salmonella Typhi — as diagnostic tools for enteric fever in South Asia. Using blood samples from 650 confirmed typhoid or paratyphoid cases and 263 febrile controls with other confirmed illnesses, the study found that combining HlyE and LPS IgA achieved an AUC of 0.93, with 86% specificity at fixed 90% sensitivity. LPS IgA alone performed nearly as well (AUC 0.92). The combined assay was especially effective in children under five (AUC 0.96). These findings support development of point-of-care diagnostics based on these biomarkers for endemic settings where blood culture is inaccessible.

Detailed Summary

Enteric fever, caused by Salmonella enterica serovars Typhi and Paratyphi A, infects millions annually in low-resource settings where sanitation is poor. Despite its burden, accurate diagnosis remains elusive. Blood culture — the gold standard — is slow, expensive, and largely inaccessible in endemic regions. The widely-used Widal test performs poorly, and commercial rapid diagnostics have failed to consistently exceed 90% sensitivity and specificity. Better diagnostic tools are urgently needed.

This study, embedded within the multisite SeroEpidemiology and Environmental Surveillance (SEES) Study, evaluated the diagnostic performance of IgA antibodies against two Salmonella Typhi antigens: pore-forming cytotoxin hemolysin E (HlyE) and lipopolysaccharide (LPS). Researchers measured plasma IgA concentrations via kinetic ELISA in 650 blood culture–confirmed enteric fever cases (568 Typhi, 82 Paratyphi A) and 263 febrile controls with laboratory-confirmed alternative etiologies, recruited from six hospitals across Bangladesh, Nepal, and Pakistan between 2016 and 2022.

The combined HlyE and LPS IgA biomarker panel achieved an area under the ROC curve (AUC) of 0.93 overall, with 86% specificity at a fixed 90% sensitivity threshold. LPS IgA alone performed nearly identically (AUC 0.92), while HlyE IgA alone was modestly lower. Importantly, in children under five years of age — a high-risk and diagnostically challenging group — the combined biomarkers outperformed either antigen individually, achieving an AUC of 0.96 versus 0.94 for HlyE and 0.93 for LPS alone. Performance was consistent across all three countries and across both Typhi and Paratyphi A serovars.

The study also modeled longitudinal antibody dynamics post-infection using hierarchical two-phase within-host models in a Bayesian framework. This analysis estimated how long after infection a patient would test positive, informing the risk of false positives from prior infection in high-incidence endemic settings — a critical real-world consideration.

These findings meaningfully extend prior single-site work and validate HlyE and LPS IgA as robust, geographically generalizable biomarkers for enteric fever. They support translation into point-of-care lateral flow formats already piloted in Pakistan and Bangladesh, which could dramatically improve diagnosis in resource-limited endemic settings. Caveats include the hospital-based design, age differences between cases and controls, and the absence of blood cultures in all controls.

Key Findings

  • Combined HlyE and LPS IgA achieved AUC 0.93, with 86% specificity at 90% sensitivity across three South Asian countries.
  • LPS IgA alone performed nearly as well as the combined marker (AUC 0.92), simplifying potential point-of-care assay design.
  • In children under 5, the combined biomarker panel outperformed either antigen alone, reaching AUC 0.96.
  • Performance was consistent across Bangladesh, Nepal, and Pakistan and across both Typhi and Paratyphi A serovars.
  • Longitudinal antibody modeling estimated post-infection window periods, informing false-positive risk in endemic settings.

Methodology

Hospital-based case-control study nested within the multisite SEES cohort across Bangladesh, Nepal, and Pakistan (2016–2022). Kinetic ELISA measured plasma IgA to HlyE and LPS; ROC analysis with DeLong's method compared AUCs; longitudinal dynamics modeled via Bayesian hierarchical two-phase within-host models.

Study Limitations

Hospital-based recruitment may not reflect community-level disease; cases and controls differed significantly in age, potentially inflating performance estimates. Blood cultures were not performed on all controls, and the study did not assess performance in truly community-based or outpatient-only populations.

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