Introduction
Infectious diarrheal diseases are one of the leading causes of worldwide morbidity and mortality. [1] The incidence of diarrhea is higher in developing countries, where more than 90% of deaths from diarrheal diseases occur. [2] In Low or Middle-Income Countries (LMIC), diarrhea has a huge impact on long-term disability due to repeated early childhood infections. [1] Poor sanitation and infrastructure have been implicated in the increased number of cases. [3] Diagnostic testing of causative organisms for diarrhea plays an important role in decreasing disease burden and death associated with infectious diarrhea. Microbiologic diagnosis of diarrhea etiology is essential for providing targeted antibiotic therapy when indicated. [4] Diagnostic testing also helps in disease surveillance and identifying outbreaks, and this is a useful tool for implementing public health interventions. [1] In most resource-limited settings, diagnostic investigations to isolate organisms are limited. Thus, infectious diarrhea is treated empirically with antibiotics. [5] Antibiotic therapy is contraindicated in some cases of diarrhea caused by organisms like Escherichia coli O157 and other strains producing Shiga-like toxins. [6] Empiric treatment can lead to unnecessary antibiotic treatment, exposing patients to adverse side effects of antibiotics and straining resources, as antibiotics are costly and access is limited in some developing countries. [1,7] Moreover, unnecessary treatment of diarrhea with antibiotics increases antibiotic resistance, which has health and economic implications.[8,9]
Due to the importance of diagnostic tests in evaluating and managing infectious diarrhea, it is imperative that testing modalities are readily available. However, this is not the case in low-income countries due to the cost, technical expertise, and time that is required to use current diagnostic modalities, which are easily accessible in developed countries. BioFire is an example of a diagnostic stool test that is widely used in the United States but not readily available in developing countries. Our study evaluates a novel, cost-effective, easy-to-use stool testing kit (Go-GutDx®) for infectious diarrhea that can easily be rolled out in low-resource settings and has comparable performance to BioFire in terms of diagnostic utility.
Materials and Methods
Stool samples (n = 435) were collected from participants with diarrhea from two sites, the University of Texas Medical Branch (UTMB) and Hennepin Healthcare (HHR). The collected stool samples were either stored in Cary Blair media or raw and were tested using the NIH Standard of Care, BioFire Film Array GI Pathogen Panel (FDA approved PCR based pathogen diagnostic test) by the Department of Laboratory Medicine (DLM). Samples were shipped to Go-GutDx®, Inc. on dry ice and stored at -80° C until testing. The stool samples were tested at Go-GutDx®, Inc. in groups of 8 using floating microspheres DNA extraction followed by RPA amplification and lateral flow assay detection. Go-GutDx® test has been designed for the detection of the most common diarrhea-causing pathogens. Of interest for this study are: Clostridium difficile, Campylobacter jejuni, Salmonella enterica Typhimurium, Shigella spp., STEC (stx1, stx2), Vibrio spp., and Yersinia enterocolitica. After the detection was completed by Go-GutDx®, the results were compared with the BioFire results to calculate sensitivities specificities and positive and negative predictive values. Participants did not receive results from Go-GutDx®. The results obtained by BioFire were considered the “true results” of the clinical samples tested.
Statistical Methodology
Descriptive analysis was conducted to summarize data as raw counts and frequencies and compared using a Fisher’s exact test. We conducted specificity and sensitivity analysis of the two diagnostic tests using the diagnostic testing package in STATA. We also conducted percent agreement using an overall concordance between both tests. Graphical illustrations were conducted using two-way line graphs with custom margins and axis. All analyses with p-values ≤ 0.05 were considered to be significant. All analyses were conducted using STATA version 17.
Results
Out of the 435 stool samples, 180 (41.4%) tested positive for C. difficile, 29 (6.7%) tested positive for Campylobacter, 13 (3.0%) for STEC, 30 (6.9%) for Salmonella, 5 (1.1%) for Yersinia, 3 (0.70%) for Vibrio and 20(4.6%) for Shigella, using BioFire. For the number of positive test results, using Go-GutDx® for each organism, results show that 108 (24.8%) tested positive for C. difficile, 18 (4.1%) for Campylobacter, 12 (2.8%) for STEC, 29 (6.7%) for Salmonella, 3 (0.70%) for Yersinia, 5 (1.1%) for Vibrio, and 17 (3.9%) for Shigella, Table 1. The concordance between BioFire and Go-GutDx® for C. difficile testing was 80%. All other organisms showed a concordance of greater than 97%, Table 2. The sensitivity, specificity, positive and negative predictive values for each detectable pathogen are shown in Table 3 and Fig 1. These indicate a sensitivity of 56.1% for C. difficile, 58.6% for Campylobacter jejuni. 46.1% for STEC (stx1, stx2), 83.3% for Salmonella, 0% for Yersinia enterocolitica, 66.7% for Vibrio spp and 65.0% for Shigella spp. Specificities were > 97% for all pathogens. The positive predictive value was highest for Campylobacter jejuni 94.4%, followed by C. difficile 93.5%, Salmonella 86.2%, Shigella 76.5%, STEC (stx1, stx2) 50%, Vibrio spp 40%, and Yersinia 0%. The negative predictive value was 75.8% for C. difficile, with all other pathogens being above 98.3%.
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
Discussion
Infectious diarrhea continues to be a major cause of morbidity and mortality, especially in developing countries where more diarrheal deaths occur. Diarrheal illnesses have major socio-economic implications and have led to long-term disability. Diagnostic investigations for managing diarrhea remain at the core of treatment and prevention. BioFire is the gold-standard diagnostic stool test for detecting microorganisms and is widely used in the United States. It has been shown to have great utility in the clinical setting. However, BioFire is expensive, requires a high level of technical expertise, and is more time-consuming and cumbersome to perform. Due to these limitations, it is not readily available in Low or Middle-Income Countries. One sample of BioFire costs the lab approximately $160 to buy, and in the US, labs charge around $1600 for one sample to the patient. BioFire instrument costs $40,000. BioFire test takes 1.2 hours to run, and performing the test requires training on how to operate a complex instrument. Our study introduces a novel point-of-care DNA stool testing kit (Go-GutDx®) for infectious diarrhea that has promising results, performs comparatively to BioFire, and has great potential to be used in low-resource settings due to low cost and ease of use. The reagent cost per sample of Go-GutDx® is roughly $11.56. With large-scale manufacturing, we estimate the cost should be under $5. It takes 30-40 minutes per sample to perform the test. It is easy to perform because it only requires pipetting skills and there is no instrument to learn to operate and maintain.
In our study, 435 stool samples were collected and tested with BioFire. The same stool samples were tested with the novel Go-GutDx® test. After the detection was completed by Go-GutDx®, the results were compared with the BioFire results to calculate sensitivities, specificities, positive and negative predictive values, and concordance between the two testing modalities for 7 different pathogens. The results obtained by BioFire were considered the “true results” of the clinical samples tested. In analyzing the statistical outcomes of each organism, Go-GutDx® testing has performed reasonably well in comparison to the gold standard (BioFire), and balancing its cost-effectiveness and utility in low-resource settings, it can serve as a starting point for diagnosis. Several studies in LMIC have shown that the most common pathogens isolated from infective diarrhea include E. coli, Salmonella, Shigella, and Vibrio, with E. coli being the commonest bacteria pathogen[10–12], thus Go-GutDx® would be an effective diagnostic test for most cases of diarrhea. Go-GutDx® did not perform as well as BioFire at diagnosing C. difficile. Despite that, the concordance of Go-GutDx® with BioFire at detecting C. difficile was 80%. In many LMICs, C. difficile prevalence is unknown as testing is expensive and technologically demanding. The introduction of Go-GutDx® would be a promising step in studying the prevalence of the disease.
Of note, the results for Vibrio testing showed that Go-GutDx® performed better than BioFire in detecting Vibrio with 5 positive test results (1.1%) as compared to BioFire with 3 positive test results (0.70%). Even though this shows that Go-GutDx® may be as good as BioFire in detecting Vibrio, these positive results may be false positives and may be due to the quality of the test, which may clear out in a bigger study that is done in a population where the disease is much more prevalent. In general, the concordance between Go-GutDx® and BioFire in detecting various organisms is high, ranging from 80% to 99.1%, with more than 90% for six microorganisms. These results are encouraging and show that Go-GutDx® can perform comparably to BioFire as a stool testing kit.
One limitation of our study has been the overall low prevalence of GI pathogens in the samples tested. Considering this, a larger study in an endemic setting will be critical to validate the test sensitivity, specificity, and concordance of Go-GutDx® with BioFire. A larger study in an endemic area has the additional advantage of enhancing the performance of Go-GutDx®, as the higher prevalence of infection will influence statistical outcomes.
The negative predictive value for Go-GutDx® in detecting various microorganisms is impressive, ranging from 97.1% to 99.8% for all pathogens except C. difficile, which has a negative predictive value of 75.8%. This gives Go-GutDx® additional advantage in high-prevalence, low-income countries as a tool to rule out gut bacterial infections, thereby decreasing the empiric use of antibiotics. This, in turn, contributes to reducing antibiotic resistance and healthcare costs in LMICs.
Conclusion
In conclusion, our study confirms that Go-GutDx® is a novel diagnostic tool for identification of diarrheal pathogens and it has statistically comparable sensitivity, specificity, positive and negative predictive values especially for C.diff, Salmonella, Shigella, and Campylobacter, with the current gold standard testing kit, BioFire. In addition, the simplicity of the technology and lower price makes Go-GutDx® an ideal diagnostic test in low- and middle-income countries.
Acknowledgments
We are grateful for the entire team’s contribution to this project.
References
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Citation: Glover Q, Jiang X, Onderak AM, Mapes A, Hollnagel F, Buckley J, et al. (2025) Comparison between Go-GutDx, a novel diagnostic stool test kit with potential impact in low-income countries, and BioFire test. PLoS ONE 20(3): e0319145. https://doi.org/10.1371/journal.pone.0319145
About the Authors:
Quarshie Glover
Roles: Supervision, Writing – original draft, Writing – review & editing
E-mail: [email protected]
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
ORICD: https://orcid.org/0000-0002-9897-0130
Xiao Jiang
Roles: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
Alexis Marie Onderak
Roles: Conceptualization, Methodology, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
Abigail Mapes
Roles: Project administration, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
ORICD: https://orcid.org/0000-0002-0757-6702
Fauzia Hollnagel
Roles: Formal analysis, Methodology, Writing – original draft, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
ORICD: https://orcid.org/0000-0003-1323-9857
Joseph Buckley
Roles: Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
Chang Hee Kim
Roles: Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
Dawd Siraj
Roles: Formal analysis, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliation: Department of Medicine, University of Wisconsin Hospitals and Clinics, Madison, Wisconsin, United States of America
1. Guerrant RL, Van Gilder T, Steiner TS, Thielman NM, Slutsker L, Tauxe RV, et al. Practice guidelines for the management of infectious diarrhea. Clin Infect Dis. 2001;32(3):331–51. pmid:11170940
2. Kotloff KL, Platts-Mills JA, Nasrin D, Roose A, Blackwelder WC, Levine MM. Global burden of diarrheal diseases among children in developing countries: Incidence, etiology, and insights from new molecular diagnostic techniques. Vaccine. 2017;35(49 Pt A):6783–9. pmid:28765005
3. Chakravarty I, Bhattacharya A, Das SK. Water, sanitation and hygiene: The unfinished agenda in the World Health Organization South-East Asia Region. WHO South East Asia J Public Health. 2017;6(2):22–33. pmid:28857059
4. Zhang S-X, Zhou Y-M, Tian L-G, Chen J-X, Tinoco-Torres R, Serrano E, et al. Antibiotic resistance and molecular characterization of diarrheagenic Escherichia coli and non-typhoidal Salmonella strains isolated from infections in Southwest China. Infect Dis Poverty. 2018;7(1):53. pmid:29792233
5. Okeke IN, Ojo O, Lamikanra A, Kaper JB. Etiology of acute diarrhea in adults in southwestern Nigeria. J Clin Microbiol. 2003;41(10):4525–30. pmid:14532177
6. Hatchette TF, Farina D. Infectious diarrhea: when to test and when to treat. CMAJ. 2011;183(3):339–44. pmid:21173060
7. Carlet J, Pittet D. Access to antibiotics: a safety and equity challenge for the next decade. Antimicrob Resist Infect Control. 2013;2(1):1. pmid:23305311
8. Dadgostar P. Antimicrobial resistance: implications and costs. Infect Drug Resist. 2019;12:3903–10. pmid:31908502
9. Pokharel S, Raut S, Adhikari B. Tackling antimicrobial resistance in low-income and middle-income countries. BMJ Glob Health. 2019;4(6):e002104. pmid:31799007
10. “Diarrhoeal disease.” https://www.who.int/news-room/fact-sheets/detail/diarrhoeal-disease (accessed Jun. 21, 2023).
11. Afum T, Asandem DA, Asare P, Asante-Poku A, Mensah GI, Musah AB, et al. Diarrhea-causing bacteria and their antibiotic resistance patterns among diarrhea patients from Ghana. Front Microbiol. 2022;13:894319. pmid:35663873
12. Ahs JW, Tao W, Löfgren J, Forsberg BC. Diarrheal diseases in low- and middle-income countries: incidence, prevention and management. TOIDJ. 2010;4(1):113–24.
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Abstract
Introduction
Infectious diarrheal diseases are one of the leading causes of worldwide morbidity and mortality. The incidence of diarrhea is higher in Low-Middle-Income Countries (LMIC), where more than 90% of deaths from diarrheal diseases occur. Diagnostic tests for infectious diarrhea are not readily available in Low-Middle-Income Countries. Our study evaluates a novel, cost-effective, easy-to-use DNA stool testing kit for infectious diarrhea that can easily be rolled out in low-resource settings and has comparable performance to current testing modalities in the USA in terms of diagnostic utility.
Methods
435 stool samples were tested using the novel stool testing Kit (Go-GutDx®). The stool samples were in groups of 8 and were tested using floating microspheres DNA extraction followed by Recombinase Polymerase Amplification (RPA) and lateral flow assay detection. Pathogens tested include Clostridium difficile, Campylobacter jejuni, Salmonella enterica Typhimurium, Shigella spp., STEC (stx1, stx2), Vibrio spp., and Yersinia enterocolitica. The same samples were tested using BioFire GI Panel (gold standard), and the results were compared. Descriptive analysis was summarized as raw counts and frequencies and compared using Fisher’s exact test. We conducted specificity and sensitivity analysis of the two diagnostic tests using the diagnostic testing package in STATA. Graphical illustrations were conducted using two-way line graphs with custom margins and axis. All analyses with p-values ≤ 0.05 were significant. All analyses were conducted using STATA version 17.
Results
Results showed a sensitivity of 56.1% for C. difficile, and 58.6% for Campylobacter jejuni. 46.1% for STEC (stx1, stx2), 83.3% for Salmonella, 0% for Yersinia enterocolitica, 66.7% for Vibrio spp and 65.0% for Shigella spp. Specificities were > 97% for all pathogens. The positive predictive value was highest for Campylobacter jejuni 94.4%, followed by C. difficile 93.5%, Salmonella 86.2%, Shigella 76.5%, STEC (stx1, stx2) 50%, Vibrio spp 40%, and Yersinia 0%. The negative predictive value was 75.8% for C. difficile, with all other pathogens being above 98.3%. Table 3. The concordance between BioFire and Go-GutDx® for C. difficile testing was 80%. All other organisms showed a concordance of greater than 97% Table 2.
Discussion
Our study confirms that Go-GutDx® is a novel diagnostic tool for diarrheal pathogens with statistically comparable sensitivity, specificity, positive and negative predictive values with the current gold standard testing kit, BioFire. In addition, the simplicity of the technology and lower price both to healthcare systems and to patients makes Go-GutDx® an ideal diagnostic test to be implemented in low- and middle-income countries.
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