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Diagnostic challenges in re-emerging rickettsioses: why current tools fall short
Yaawar Bashir Mir1, Tasaduq Manzoor1, Danish Mushtaq1
1Division of Animal Biotechnology, Faculty of Veterinary Sciences & Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India.
Abstract:
SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhus group rickettsioses, represent a significant and escalating public health threat worldwide, particularly in the Asia-Pacific and sub-Saharan African regions. Despite their high morbidity and potential for fatal outcomes if left untreated, these infections remain notoriously underdiagnosed due to their nonspecific clinical presentation, which frequently overlaps with other acute undifferentiated febrile illnesses (AUFIs) such as dengue, malaria, and leptospirosis. This review evaluates the evolving diagnostic landscape, highlighting the severe limitations of conventional methods: the Weil-Felix test lacks necessary specificity, while the gold standard indirect immunofluorescence assay (IFA) is primarily retrospective due to delayed seroconversion. Molecular diagnostics, particularly multiplex polymerase chain reaction (mPCR), have emerged as a critical advancement, enabling early, species-specific identification during the acute phase of infection when doxycycline therapy is most effective. We further explore the paradigm shift toward syndromic molecular panels, such as the TaqMan Array Card (TAC), which facilitate simultaneous screening for multiple AUFI pathogens. Emerging platforms, including digital PCR (dPCR) for absolute quantification and CRISPR-Cas-based point-of-care (POC) systems (SHERLOCK and DETECTR), offer promising solutions for low-resource settings. Finally, this review underscores the necessity of integrating molecular surveillance within a One Health framework and utilizing artificial intelligence (AI) to address technical and implementation barriers. Overcoming these challenges is essential for transforming rickettsial diagnosis from a reactive to a proactive strategy, ultimately reducing the global burden of these neglected zoonoses.
Insights
Rickettsial diseases are a growing global threat, often misdiagnosed. Advanced molecular diagnostics like multiplex PCR and emerging point-of-care systems offer earlier, more accurate detection for better treatment outcomes.
Area of Science:
- Medical Microbiology
- Infectious Diseases
- Public Health
Background:
- Rickettsial diseases (scrub typhus, spotted fevers, typhus) pose a significant, increasing global health risk, especially in Asia-Pacific and Africa.
- Underdiagnosis is common due to nonspecific symptoms overlapping with other febrile illnesses, leading to delayed treatment and potential fatality.
- Conventional diagnostics like Weil-Felix lack specificity, and the gold standard indirect immunofluorescence assay (IFA) is retrospective due to delayed seroconversion.
Purpose of the Study:
- To review the evolving diagnostic landscape for rickettsial diseases.
- To highlight limitations of conventional methods and the advantages of molecular diagnostics.
- To explore emerging technologies and strategies for improved rickettsial disease diagnosis and surveillance.
Main Methods:
- Literature review of diagnostic methods for rickettsial diseases.
- Evaluation of conventional serological and molecular diagnostic techniques.
- Assessment of emerging technologies including multiplex PCR, syndromic panels (TAC), digital PCR (dPCR), and CRISPR-Cas-based systems (SHERLOCK, DETECTR).
Main Results:
- Molecular diagnostics, especially multiplex PCR (mPCR), enable early, species-specific detection in the acute phase.
- Syndromic panels (e.g., TaqMan Array Card) allow simultaneous screening for multiple pathogens.
- Emerging platforms like dPCR and CRISPR-Cas systems offer potential for rapid, low-resource diagnostics.
- Integration with One Health and AI is crucial for proactive surveillance and overcoming implementation barriers.
Conclusions:
- Molecular diagnostics represent a significant advancement over conventional methods for rickettsial diseases.
- Emerging point-of-care technologies hold promise for improving diagnosis in resource-limited settings.
- Proactive diagnostic strategies, supported by molecular surveillance and AI, are essential to reduce the global burden of these neglected zoonotic infections.
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