Awards

Ida Viktoria Kolte of Fiocruz in Brazil will employ metagenomic next generation sequencing (mNGS) for the analysis of sputum and blood samples from Indigenous patients to identify the causes of severe lung infection in the rural Amambai district. Brazil's one million Indigenous people suffer a disproportionate burden of infectious and respiratory diseases. Lung infections are challenging to diagnose because they can be caused by viral, bacterial and fungal pathogens and are often associated with co-infections. They will collect samples from 170 patients aged over 18 years presenting with symptoms of severe lung infection from five locations and subject them to next generation sequencing to identify the microorganisms present. They will also use implementation research to identify any cultural barriers that have restricted current diagnostic and therapeutic practices to help more effectively implement the new metagenomic next generation sequencing technology into clinical practice.

Jennifer Fitzpatrick of Zambart in Zambia will design and implement a one-step multiplex whole genome sequencing platform for the diagnosis of female genital schistosomiasis (FGS), sexually transmitted infections (STIs) and vaginal microbiome analysis in Zambia. FGS is caused by Schistosoma haematobium and affects around 56 million women in sub-Saharan Africa. Current diagnostic capabilities for STIs and FGS are inadequate and many patients are either incorrectly treated, overtreated or receive no treatment at all. They will use 525 self-taken vaginal swabs to develop the sequencing assay and follow-up with self-taken cervicovaginal swabs and S. haematobium eggs taken from up to 2,000 sexually active girls and women aged 15 to 50 for further development and implementation of the platform to enable the rapid identification of known and new pathogens. They will also characterize the cervicovaginal flora to gain insights into its role in sexual and reproductive health.

Elizabeth Batty of the University of Oxford in the United Kingdom will use metagenomic next generation sequencing to identify pathogens in patient samples that are negative by all other diagnostics, to better understand the causes of febrile illness in South and Southeast Asia. Although studies have identified a broad spectrum of pathogens underlying non-malarial febrile illness, the cause of fever remains unknown in more than half of patients. Febrile illness causes substantial morbidity and mortality, and correct diagnoses are needed to ensure that patients receive the appropriate treatments. They will collect samples in multiple healthcare centers in Bangladesh, Lao PDR and Thailand, and use multiplex PCR and serological tests that detect the most common causes of acute fever. Up to 300 samples that test negative using these approaches will be sent to the central Mahidol-Oxford Tropical Medicine Research Unit laboratories in Bangkok for metagenomic sequencing and bioinformatic analysis.

Aida Badiane of the Universite Cheikh Anta Diop de Dakar in Senegal will use shotgun metagenomic next generation sequencing (mNGS) to identify the pathogens causing nosocomial infections in Senegal to improve diagnosis and treatment. Nosocomial infections (i.e., hospital-acquired) cause substantial mortality in Senegal but remain poorly understood. To create a more complete profile of the causative pathogens, they will apply shotgun mNGS to different types of clinical samples from 61 patients at LeDantec hospital to identify and quantify the pathogens. They will also identify the most suitable sample types for diagnosing the most common pathogens. The sequencing data will be analyzed and shared with clinicians, stakeholders and the global research community, and will help in the development of suitable diagnostic assays. This project will help implement sequencing technologies into the national healthcare system.

Kanny Diallo of the Centre Suisse de Recherches Scientifiques en Côte d'Ivoire will use metagenomic sequencing to investigate the etiological diversity of meningitis in Mali, Guinea, and Côte d’Ivoire, three countries in the so-called African meningitis belt, to improve diagnosis and public health responses. The African meningitis belt stretches from Senegal to Ethiopia and has the highest burden of meningitis worldwide. Meningitis can be caused by many different types of pathogens (bacteria, virus, fungi, and parasites), which vary between countries. Although 35 meningitis-causing pathogens are detectable by current PCR-based techniques, over 80% of cases remain undiagnosed suggesting that other pathogens are involved. They will perform a prospective study by collecting 65 cerebrospinal fluid samples from children under 5 years old with suspected meningitis and apply an unbiased metagenomic approach to identify both known and unknown pathogens. Their results will also help inform the design of new vaccines.

Solomon Langat of the Kenya Medical Research Institute in Kenya will develop a targeted viral enrichment protocol to improve the sensitivity of metagenomic sequencing for detecting known and novel vector-borne and viral hemorrhagic fever viruses. Infectious disease outbreaks caused by arboviruses and other viral infectious pathogens are common, particularly in Kenya. Current methods for diagnosing these infections have limited sensitivity and only detect known pathogens. In contrast, high-throughput sequencing and metagenomics can broaden detection capabilities to unknown pathogens and is also a rapid approach for monitoring outbreaks in real time. However, background noise from host nucleic acids can limit its sensitivity. They will design broadly-targeting hybridization probes to capture entire families of viruses before sequencing to improve the sensitivity of detection and test them on confirmed positive and negative samples. They will also use their method on samples from the ongoing national arbovirus surveillance program.

Yoke-Fun Chan of the University of Malaya in Malaysia will deploy metagenomic next generation sequencing to identify regional, rare and novel pathogens associated with neuroinfection in Malaysia. Neuroinfection can be caused by many different pathogens and around 60-80% of cases remain undiagnosed. Malaysia is a hotspot for viruses associated with encephalitis and an ideal location for establishing global pathogen surveillance. They will sequence around 300 archived cerebrospinal fluid and blood samples, and samples from prospectively recruited pediatric and adult patients with suspected neuroinfection at several medical centers to identify the causative pathogens. They will also establish a standardized metagenomics protocol for neuroinfection. The data will help clarify the epidemiology of neuroinfections in Malaysia and pave the way to implement metagenomic next generation sequencing for routine, real-time diagnosis of many infectious diseases to support public health decision-making.

Volga Ana Iñiguez Rojas of the Fundación para el Desarrollo de la Ecología in Bolivia will use metagenomic next generation sequencing to determine the diversity of viruses circulating in wild and domestic mammals and humans in two highly contrasting regions in Bolivia: The Amazon and the Andean Highlands. Emerging infectious diseases from zoonotic pathogens are a major public health threat. Bolivia is a hotspot for zoonotic diseases because of its highly diverse mammalian species and extensive deforestation. They will strengthen laboratory capacities with metagenomic next generation sequencing tools to identify circulating viruses in key mammalian species and people at high risk for exposure, namely Indigenous communities and wildlife center personnel. Data from 1,250 mammals and 390 humans and an overall risk assessment of human spillover potential will be shared across sectors together with training activities to promote coordinated action.

Karifa Kourouma of the Centre National de Formation et de Recherche en Santé Rurale (CNFRSR) de Maferinyah in Guinea will integrate metagenomic sequencing into an existing viral hemorrhagic fever surveillance platform in Guinea to enable identification of a broad range of known and unknown infectious pathogens. Guinea is a hotspot for viral hemorrhagic fevers such as Ebola and dengue. The current platform uses PCR-based diagnostics but these lack sensitivity and can only detect a handful of known viruses. Metagenomic sequencing can identify a much broader range of pathogens as well as unknown pathogens enabling earlier detection of outbreaks. They will leverage an existing biobank of plasma and serum samples from patients with viral hemorrhagic fever and test the ability of metagenomic sequencing to identify known and unknown pathogens. They will also implement their approach into the existing platform for ongoing sequencing of new patient samples.

Victor Tunje Jeza of the Technical University of Mombasa in Kenya will apply metagenomic next generation sequencing to identify the etiology of febrile illness not associated with malaria, chikungunya or dengue in coastal and Western Kenya, to help design more effective interventions for prevention and treatment. Febrile illnesses are caused by diverse pathogens and are common among children in the coastal and western regions, where malaria is also endemic. Standard treatment of febrile patients testing negative for malaria is generally broad-spectrum antibiotics, which may be ineffective and favors the development of drug resistance. They will sequence 350 archived febrile patient serum samples from two previous NIH-funded cohort studies and 100 prospectively collected serum samples to characterize and compare the pathogens causing local febrile illness in the different regions and identify any that are newly emerging or re-emerging.