Direct whole-genome sequencing of clinical specimens highlights the emergence of Neisseria meningitidis ST-10217 in Chad - Scorecard - MDSpire
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Whole-Genome Sequencing of Clinical Samples Reveals the Rise of Neisseria meningitidis ST-10217 in Chad

  • By

  • Bente Børud

  • Anne Witsø

  • Nadjioroum Ngam-Asra

  • Mbailamem Demian Antoinette

  • Djimtebaye Djimtola

  • Haoua Oumar Halgue

  • Katya Fernandez

  • André Arsene Bita Fouda

  • Dominique A. Caugant

  • Kadidja Gamougam

  • July 13, 2026

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Clinical Scorecard: Whole-Genome Sequencing of Clinical Samples Reveals the Rise of Neisseria meningitidis ST-10217 in Chad

At a Glance

Category

Detail

Condition

Invasive meningococcal disease and other causes of suspected bacterial meningitis

Key Mechanisms

Emerging meningococcal lineages and serogroups can alter regional disease patterns; CC10217 caused the 2025 serogroup C invasive meningococcal disease outbreak in Chad

Target Population

Patients with suspected bacterial meningitis in Chad from whom cerebrospinal fluid specimens were collected

Care Setting

Nationwide enhanced meningitis surveillance, with RT-PCR testing in Chad and genomic characterization at the WHO Collaborating Centre for Bacterial Meningitis in Oslo, Norway

Key Highlights

  • Invasive meningococcal disease has a case-fatality rate of 10%–15% and can cause long-term sequelae among survivors.

  • In 2025, 18 of 65 cerebrospinal fluid specimens were positive for Neisseria meningitidis.

  • Direct sequencing identified ST-10217 and the newly assigned ST-18990 within CC10217, both associated with genogroup C.

  • CC10217 caused the large serogroup C invasive meningococcal disease outbreak in Chad in 2025.

  • CC10217 genomes contained mutations associated with reduced ciprofloxacin susceptibility.

  • Direct sequencing can improve genomic surveillance where bacterial culture capacity is limited.

Guideline-Based Recommendations

The study was conducted as part of public health surveillance and did not establish new clinical guidelines.

Diagnosis

  • RT-PCR was used to detect N meningitidis, Streptococcus pneumoniae, and Haemophilus influenzae in cerebrospinal fluid.

  • Meningococcal-positive specimens underwent RT-PCR capsule genogrouping.

  • Direct whole-genome sequencing provided sequence type, genogroup, finetype, resistance-associated mutation, and phylogenetic information.

  • The study did not establish new diagnostic criteria or testing thresholds for routine clinical care.

Management

  • The study did not evaluate patient treatment or compare therapeutic strategies.

  • Genomic findings can help guide public health disease-control interventions during outbreaks.

  • The emergence of CC10217 with mutations linked to reduced ciprofloxacin susceptibility requires close epidemiological monitoring.

Monitoring & Follow-up

  • Enhanced surveillance requires adequate resources and timely sharing of representative bacterial strains or patient specimens.

  • The authors supported local genomic characterization whenever possible.

  • Surveillance should track changing serogroup and strain distributions and resistance-associated mutations.

  • The study did not establish a clinical follow-up protocol for individual patients.

Risks

  • Invasive meningococcal disease has substantial mortality and can produce long-term neurological impairment, hearing loss, and amputations among survivors.

  • Emerging serogroups and lineages can cause outbreaks across the African meningitis belt.

  • Mutations associated with reduced ciprofloxacin susceptibility were identified in the circulating CC10217 genomes.

  • Limited bacterial culture capacity can restrict genomic surveillance and strain characterization.

Patient & Prescribing Data

The analysis included 90 cerebrospinal fluid specimens from suspected bacterial meningitis cases: 25 from 2024 and 65 from 2025. In 2025, 18 specimens were positive for N meningitidis, including 13 identified as serogroup C by RT-PCR.

The study evaluated pathogens and resistance-associated mutations but did not report medication-prescribing patterns or compare antimicrobial treatments.

Clinical Best Practices

  • Collect cerebrospinal fluid specimens from patients with suspected bacterial meningitis as part of established surveillance programs.

  • Use molecular testing to identify major bacterial meningitis pathogens and characterize meningococcal capsule groups.

  • Direct sequencing of RT-PCR–positive specimens can provide genomic characterization when viable bacterial isolates are unavailable.

  • Interpret resistance-associated mutations as genomic indicators rather than reported phenotypic susceptibility results.

  • Support timely specimen sharing, genomic characterization, and epidemiological monitoring during meningitis outbreaks.

Related Resources & Content

  1. Direct Whole-Genome Sequencing of Clinical Specimens Highlights the Emergence of Neisseria meningitidis ST-10217 in Chad — Børud B, Witsø A, Ngam-Asra N, et al. International Journal of Infectious Diseases. 2026;170:108916. doi:10.1016/j.ijid.2026.108916.

  2. Standard Operating Procedures for Surveillance of Meningitis Preparedness and Response to Epidemics in Africa — World Health Organization Regional Office for Africa. 2018.

  3. Enhancing Meningococcal Genomic Surveillance in the Meningitis Belt Using High-Resolution Culture-Free Whole-Genome Sequencing — Itsko M, Topaz N, Ousmane-Traore S, et al. Journal of Infectious Diseases. 2022;226:729–737.

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