Literature DB >> 28418294

Exposure Risk for Infection and Lack of Human-to-Human Transmission of Mycobacterium ulcerans Disease, Australia.

Daniel P O'Brien, James W Wynne, Andrew H Buultjens, Wojtek P Michalski, Timothy P Stinear, N Deborah Friedman, Andrew Hughes, Eugene Athan.   

Abstract

We conducted epidemiologic and genetic analyses of family clusters of Mycobacterium ulcerans (Buruli ulcer) disease in southeastern Australia. We found that the incidence of M. ulcerans disease in family members was increased. However, the risk for exposure appeared short-term and not related to human-human transmission.

Entities:  

Keywords:  Australia; Buruli ulcer; Mycobacterium ulcerans; Mycobacterium ulcerans disease; bacteria; epidemiology; exposure risk; genome sequencing; human-to-human transmission; infection; transmission family clusters; tuberculosis and other mycobacteria

Mesh:

Year:  2017        PMID: 28418294      PMCID: PMC5403060          DOI: 10.3201/eid2305.160809

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Mycobacterium ulcerans is a slow-growing organism that causes necrotizing infections of skin and soft tissue, often requiring reconstructive surgery and resulting in long-term disability (,). Prevailing opinion is that humans are infected from the environment; insects, such as mosquitoes (,), and water-residing biting arthropods (,), have been proposed as vectors for transmission. In Victoria, Australia, there is evidence that native opossums might be involved in transmission (). However, despite extensive research, the environmental reservoir of the organism and mode of transmission remain unknown. We postulated that examination of M. ulcerans disease (Buruli ulcer) family clusters might provide useful new information about disease epidemiology. Theoretically, genetically related first-degree relatives have similar susceptibility to disease, and families share the same environment and therefore a similar exposure risk. Thus, we examined the epidemiology of M. ulcerans disease in family clusters managed in a large prospective observational cohort from the Bellarine Peninsula in southeastern Australia. We used data collected from all confirmed M. ulcerans cases managed during January 1, 1998–April 12, 2016, at Barwon Health, a tertiary referral hospital in Geelong, Australia ().

The Study

For this study, only initial M. ulcerans lesions were analyzed. A family cluster was defined as multiple family members independently given a diagnosis of M. ulcerans disease who were living at the same residence at the time of diagnosis. Data was collected by using Epi Info 6 (Centers for Disease Control and Prevention, Atlanta, GA, USA) and analyzed by using Stata 12 (StataCorp LLC, College Station, TX, USA). To determine the genetic relatedness of isolates derived from family clusters, we performed whole-genome sequencing and single-nucleotide polymorphism (SNP) analysis for 6 isolates derived from 3 family cluster pairs (Tables 1, 2). We sequenced DNA as 300-bp paired-end reads by using an MiSeq Sequencer (Illumina, Inc., San Diego, CA, USA). Resulting reads were mapped against the M. ulcerans Agy99 genome (), including plasmid pMUM001 (), by using Bowtie2 (). Raw sequence reads for the 6 isolates have been deposited in the National Center for Biotechnology Information (Bethesda, MD, USA) Sequence Read Archive under BioProject accession no. PRJNA321660. We also performed whole-genome SNP analysis for 6 additional unrelated previously sequenced human M. ulcerans isolates (Sequence Read Archive accession no. SRP004497) obtained from the same disease-endemic region.
Table 1

Characteristics of 21 patients associated with family clusters of Mycobacterium ulcerans disease, Bellarine Peninsula, Victoria, Australia, 1998–2016*

ClusterIsolateDate of diagnosisTime between lesions, moLocationRelationshipPatient age at diagnosis, y,/sexSite of lesionType of lesionWHO stage
1amu1792008 Jul 210.4PTLMother54/FRight thighUlcer1
1bmu1802008 Aug 4PTLDaughter26/FLeft calfUlcer1
2amu2482010 Oct 2420.6PTLHusband84/MRight forearmUlcer1
2bmu3942012 Jul 4PTLWife84/FRight forearmUlcer1
3aNT2011 Jul 250.1QUEHusband76/MRight ankleUlcer3
3bNT2011 Jul 28QUEWife75/FRight elbowUlcer1
4amu2942011 Aug 221.3PTLWife65/FRight kneeUlcer1
4bmu3082011 Sep 29PTLHusband65/MLeft calfUlcer1
5aNT2011 Aug 251.1BHFather56/MRight legUlcer1
5bNT2011 Sep 26BHSon26/MRight legUlcer1
6a NT2012 Jun 1922.7PTLWife34/FLeft kneeUlcer1
6bNT2014 Apr 30PTLHusband37/MRight ankleUlcer1
7aNT2012 Aug 1422.9QUEWife74/FLeft ankleUlcer1
7bNT2014 Jul 3QUEHusband76/MLeft legUlcer1
8aNT2012 Oct 1615.9BHSister20/FRight footUlcer1
8bNT2014 Feb 14BHBrother18/MLeft legUlcer1
9aNT2013 Apr 2712.7QUEWife85/FRight ankleUlcer1
9bNT2014 May 12QUEHusband90/MLeft forearmUlcer1
10aNT2013 Dec 102.8PTLFather34/MLeft handUlcer1
10bNT2014 Mar 4PTLDaughter4/FRight kneeNodule1
10cNT2014 Mar 50.0PTLSon7/MRight ankleNodule1

*BH, Barwon Heads; NT, not tested; PTL, Point Lonsdale; QUE, Queenscliff; WHO, World Health Organization.

Table 2

Description of 8 single-nucleotide polymorphisms specific to >1 of 6 family cluster isolates of Mycobacterium ulcerans disease, Bellarine Peninsula, Victoria, Australia, 1998–2016*

PositionLociProteinSubstitutionAmino acid changeIsolateCoverage statistics
398430IntergenicG/Amu179T: 0, A: 35, G: 0, C: 1
398430IntergenicG/Amu180T: 0, A: 67, G: 0, C: 0
398430IntergenicG/Amu248T: 0, A: 100, G: 0, C: 1
398430IntergenicG/Amu294T: 0, A: 75, G: 0, C: 0
398430IntergenicG/Amu308T: 0, A: 58, G: 0, C: 0
1758272MUL_1618Membrane proteinC/TSynonymousmu248T: 91, A: 1, G: 0, C: 0
2153447MUL_1947Thiamine pyrophosphateA/GLys→Argmu294T: 0, A: 1, G: 58, C: 0
2153447MUL_1947Thiamine pyrophosphateA/GLys→Argmu308T: 0, A: 0, G: 40, C: 0
2462577MUL_2205Hypothetical proteinT/CAsp→Glymu179T: 1, A: 1, G: 0, C: 47
4359638MUL_3902Membrane proteinC/AAla→Sermu180T: 0, A: 60, G: 1, C: 0
4359638MUL_3902Membrane proteinC/AAla→Sermu248T: 0, A: 108, G: 0, C: 1
5189291IntergenicG/Tmu248T: 76, A: 0, G: 4, C: 0
5354966MUL_4830Putative GTPaseT/CSynonymousmu180T: 2, A: 0, G: 1, C: 18
5354966MUL_4830Putative GTPaseT/CSynonymousmu248T: 0, A: 0, G: 0, C: 20
5577431MUL_5032Immunogenic protein mbt64A/GSynonymousmu394T: 0, A: 0, G: 28, C: 0

*A total of 4,918 core single-nucleotide polymorphisms were identified for all 6 isolates compared with the African Agy99 reference genome. –, not applicable (mutations were not within a coding region).

*BH, Barwon Heads; NT, not tested; PTL, Point Lonsdale; QUE, Queenscliff; WHO, World Health Organization. *A total of 4,918 core single-nucleotide polymorphisms were identified for all 6 isolates compared with the African Agy99 reference genome. –, not applicable (mutations were not within a coding region). A total of 324 patients with M. ulcerans disease from the Bellarine Peninsula, Victoria, Australia, were managed in the Barwon Health observational cohort during January 1, 1998–April 12, 2016. Median age was 57 years (IQR 34–74 years), and 164 patients (50.6%) were men. For the whole cohort, a combined time of 1,968.5 years had elapsed from diagnosis of the initial M. ulcerans lesions until the time of study analysis (April 12, 2016). The median duration elapsed from initial diagnosis until study analysis was 4.7 years (IQR 2.8–9.7 years). Twenty-one (6.5%) patients were part of a family cluster (Table 1), 9 genetically related and 12 related by marriage. All family clusters were diagnosed after the beginning of 2008. We found that significantly fewer family clusters were diagnosed during the first half of the study period (0 of 92 cases during 1998–2007) than in the second half (21 of 232 cases during 2008–2016) (p<0.01). The median time between diagnoses of M. ulcerans lesions in an additional family member, after the initial family member was given a diagnosis, was 2.8 months (IQR 1.1–20.6 months). The rate of new diagnosis of an M. ulcerans lesion in another family member was 5.69/1,000 person-years (95% CI 3.15–10.29/1,000 person-years). We determined the cumulative proportion of patients given a diagnosis who had an affected family (Figure 1).
Figure 1

Cumulative proportion of patients with a family member affected by Mycobacterium ulcerans disease, Barwon Health cohort, Bellarine Peninsula, Victoria, Australia, 1998–2016.

Cumulative proportion of patients with a family member affected by Mycobacterium ulcerans disease, Barwon Health cohort, Bellarine Peninsula, Victoria, Australia, 1998–2016. Core SNPs based on common variable nucleotide positions were identified for the 6 examined family isolates by whole-genome sequencing. A total of 4,918 core SNPs ascribed to the African Agy99 reference genome were identified according to strict filtering criteria. Only 8 SNPs were specific to >1 of the 6 isolates (Table 2). Of the 8 SNPs that differed among the isolates, only 3 were nonsynonymous substitutions. The remaining 5 SNPs were either intergenic or synonymous mutations. Pairwise comparisons of family cluster isolates showed that isolates from the 4a/4b pair were genetically identical. In contrast, isolates from the 2a/2b and 1a/1b pairs contained several isolate-specific SNPs (Table 2; Figure 2). SNP analysis of unrelated M. ulcerans isolates from the same disease-endemic area showed that 3 of the 6 isolates were also genetically identical (Figure 2), which demonstrated that unrelated isolates can share a common genotype. The remaining 3 isolates contained 1–3 unique SNPs. Thus, family cluster isolates were not any more closely genetically related than 6 random isolates from the same geographic region.
Figure 2

Median joining network of 12 SNPs of 12 Mycobacterium ulcerans isolates from patients with Mycobacterium ulcerans disease, Barwon Health cohort, Bellarine Peninsula, Victoria, Australia, 1998–2016. Node colors indicate clusters. Blue, cluster 4a/4b; red, cluster 1a/1b; green, cluster 2a/2b. Black nodes represent 6 unrelated isolates. The size of each node is proportional to the number of genetically identical isolates with identical genotypes. Values indicate number of SNPs between each node. SNP, single-nucleotide polymorphism.

Median joining network of 12 SNPs of 12 Mycobacterium ulcerans isolates from patients with Mycobacterium ulcerans disease, Barwon Health cohort, Bellarine Peninsula, Victoria, Australia, 1998–2016. Node colors indicate clusters. Blue, cluster 4a/4b; red, cluster 1a/1b; green, cluster 2a/2b. Black nodes represent 6 unrelated isolates. The size of each node is proportional to the number of genetically identical isolates with identical genotypes. Values indicate number of SNPs between each node. SNP, single-nucleotide polymorphism.

Conclusions

Our examination of family clusters of M. ulcerans disease provides useful insights into the environmental reservoir and mode of transmission of this organism. First, the median time to diagnosis between family members was short (2.8 months), and no family members were given a diagnosis of an M. ulcerans lesion >23 months apart in a cohort spanning 18 years and nearly 2,000 combined years of elapsed time since diagnosis. This finding suggests that family members have been exposed to a source in the family’s environment that persists only for a short period. Second, with an incubation period for M. ulcerans disease estimated to be a median of 4.5 months (), the observation that the median time between diagnoses in family clusters was <3 months suggest that infections were not being transmitted between family members. Further evidence against human-to-human transmission is apparent from whole-genome SNP analysis, which showed that pairs of isolates from 2 (2a/2b and 1a/1b) of 3 family clusters were not genetically identical. These findings support previous suggestions that M. ulcerans is unlikely to be transmitted from person to person (). Unknown is the type of short-term exposure that leads to the close temporal relation of family clustered infections. Opossums have been proposed as a source, either through contamination of the environment by infected feces or by an intermediate vector, such as mosquitoes, which transfer the infection from infected opossums to humans by a bite (). Infected opossum(s) in the family environment might cause cases of human infection, then subsequently die of the disease (), removing the source of infection. Alternatively, transmission could be related to a short-term change in the environment involving soil or foliage as a result of such events as home construction and renovation, or planting and removing trees or grasses (). Mosquitoes in the area might be transiently infected/contaminated with M. ulcerans and infect humans through bites during this time (). In summary, the incidence rate of lesions in another family member (5.69/1,000 person-years) was higher than reported incidence rates during 2005–2009 in the general population of the Bellarine Peninsula (0.85–4.04 cases/year/1,000 population) (). This finding suggests that genetic susceptibility or, more likely, localized exposure risk increases the likelihood of infection. The incidence of M. ulcerans disease family clusters in an observational cohort in southeastern Australia was higher than in the general population of the disease-endemic area. However, when clusters occur, they are closely temporally related, which suggests a short-term risk for exposure and infection. Epidemiologic and genetic evidence suggests human-to-human transmission is not the source of infection.
  15 in total

1.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

2.  Reductive evolution and niche adaptation inferred from the genome of Mycobacterium ulcerans, the causative agent of Buruli ulcer.

Authors:  Timothy P Stinear; Torsten Seemann; Sacha Pidot; Wafa Frigui; Gilles Reysset; Thierry Garnier; Guillaume Meurice; David Simon; Christiane Bouchier; Laurence Ma; Magali Tichit; Jessica L Porter; Janine Ryan; Paul D R Johnson; John K Davies; Grant A Jenkin; Pamela L C Small; Louis M Jones; Fredj Tekaia; Françoise Laval; Mamadou Daffé; Julian Parkhill; Stewart T Cole
Journal:  Genome Res       Date:  2007-01-08       Impact factor: 9.043

3.  Epidemiology, clinical features and diagnosis of Mycobacterium ulcerans in an Australian population.

Authors:  Sarah C Boyd; Eugene Athan; N Deborah Friedman; Andrew Hughes; Aaron Walton; Peter Callan; Anthony McDonald; Daniel P O'Brien
Journal:  Med J Aust       Date:  2012-03-19       Impact factor: 7.738

4.  Aquatic insects as a vector for Mycobacterium ulcerans.

Authors:  Laurent Marsollier; Raymond Robert; Jacques Aubry; Jean-Paul Saint André; Henri Kouakou; Pierre Legras; Anne-Lise Manceau; Chetaou Mahaza; Bernard Carbonnelle
Journal:  Appl Environ Microbiol       Date:  2002-09       Impact factor: 4.792

5.  Giant plasmid-encoded polyketide synthases produce the macrolide toxin of Mycobacterium ulcerans.

Authors:  Timothy P Stinear; Armand Mve-Obiang; Pamela L C Small; Wafa Frigui; Melinda J Pryor; Roland Brosch; Grant A Jenkin; Paul D R Johnson; John K Davies; Richard E Lee; Sarojini Adusumilli; Thierry Garnier; Stephen F Haydock; Peter F Leadlay; Stewart T Cole
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-21       Impact factor: 11.205

6.  Risk factors for recurrent Mycobacterium ulcerans disease after exclusive surgical treatment in an Australian cohort.

Authors:  Daniel P O'Brien; Aaron Walton; Andrew J Hughes; N Deborah Friedman; Anthony McDonald; Peter Callan; Richard Rhadon; Ian Holten; Eugene Athan
Journal:  Med J Aust       Date:  2013-05-06       Impact factor: 7.738

Review 7.  Ecology and transmission of Buruli ulcer disease: a systematic review.

Authors:  Richard W Merritt; Edward D Walker; Pamela L C Small; John R Wallace; Paul D R Johnson; M Eric Benbow; Daniel A Boakye
Journal:  PLoS Negl Trop Dis       Date:  2010-12-14

8.  Risk of Buruli ulcer and detection of Mycobacterium ulcerans in mosquitoes in southeastern Australia.

Authors:  Caroline J Lavender; Janet A M Fyfe; Joseph Azuolas; Karen Brown; Rachel N Evans; Lyndon R Ray; Paul D R Johnson
Journal:  PLoS Negl Trop Dis       Date:  2011-09-20

9.  Mycobacterium ulcerans in mosquitoes captured during outbreak of Buruli ulcer, southeastern Australia.

Authors:  Paul D R Johnson; Joseph Azuolas; Caroline J Lavender; Elwyn Wishart; Timothy P Stinear; John A Hayman; Lynne Brown; Grant A Jenkin; Janet A M Fyfe
Journal:  Emerg Infect Dis       Date:  2007-11       Impact factor: 6.883

10.  Clinical, microbiological and pathological findings of Mycobacterium ulcerans infection in three Australian Possum species.

Authors:  Carolyn R O'Brien; Kathrine A Handasyde; Jennifer Hibble; Caroline J Lavender; Alistair R Legione; Christina McCowan; Maria Globan; Anthony T Mitchell; Helen E McCracken; Paul D R Johnson; Janet A M Fyfe
Journal:  PLoS Negl Trop Dis       Date:  2014-01-30
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1.  Comparative Genomics Shows That Mycobacterium ulcerans Migration and Expansion Preceded the Rise of Buruli Ulcer in Southeastern Australia.

Authors:  Andrew H Buultjens; Koen Vandelannoote; Conor J Meehan; Miriam Eddyani; Bouke C de Jong; Janet A M Fyfe; Maria Globan; Nicholas J Tobias; Jessica L Porter; Takehiro Tomita; Ee Laine Tay; Torsten Seemann; Benjamin P Howden; Paul D R Johnson; Timothy P Stinear
Journal:  Appl Environ Microbiol       Date:  2018-04-02       Impact factor: 4.792

2.  Microdeletion on chromosome 8p23.1 in a familial form of severe Buruli ulcer.

Authors:  Quentin B Vincent; Aziz Belkadi; Cindy Fayard; Estelle Marion; Ambroise Adeye; Marie-Françoise Ardant; Christian R Johnson; Didier Agossadou; Lazaro Lorenzo; Julien Guergnon; Christine Bole-Feysot; Jeremy Manry; Patrick Nitschké; Ioannis Theodorou; Jean-Laurent Casanova; Laurent Marsollier; Annick Chauty; Laurent Abel; Alexandre Alcaïs
Journal:  PLoS Negl Trop Dis       Date:  2018-04-30

Review 3.  From hidden outbreaks to epidemic emergencies: the threat associated with neglecting emerging pathogens.

Authors:  Jason A Tetro
Journal:  Microbes Infect       Date:  2018-06-27       Impact factor: 2.700

4.  Does skin surface temperature variation account for Buruli ulcer lesion distribution?

Authors:  Nicola K Sexton-Oates; Andrew J Stewardson; Arvind Yerramilli; Paul D R Johnson
Journal:  PLoS Negl Trop Dis       Date:  2020-04-20

5.  Genome-wide association study of Buruli ulcer in rural Benin highlights role of two LncRNAs and the autophagy pathway.

Authors:  Jeremy Manry; Quentin B Vincent; Christian Johnson; Maya Chrabieh; Lazaro Lorenzo; Ioannis Theodorou; Marie-Françoise Ardant; Estelle Marion; Annick Chauty; Laurent Marsollier; Laurent Abel; Alexandre Alcaïs
Journal:  Commun Biol       Date:  2020-04-20

Review 6.  Linking the Mycobacterium ulcerans environment to Buruli ulcer disease: Progress and challenges.

Authors:  Laxmi Dhungel; Mark Eric Benbow; Heather Rose Jordan
Journal:  One Health       Date:  2021-08-18

7.  Epidemiology of Buruli Ulcer Infections, Victoria, Australia, 2011-2016.

Authors:  Michael J Loftus; Ee Laine Tay; Maria Globan; Caroline J Lavender; Simon R Crouch; Paul D R Johnson; Janet A M Fyfe
Journal:  Emerg Infect Dis       Date:  2018-11       Impact factor: 6.883

8.  Low incidence of recurrent Buruli ulcers in treated Australian patients living in an endemic region.

Authors:  James W Wynne; Timothy P Stinear; Eugene Athan; Wojtek P Michalski; Daniel P O'Brien
Journal:  PLoS Negl Trop Dis       Date:  2018-08-13

9.  Individual and clinical variables associated with the risk of Buruli ulcer acquisition: A systematic review and meta-analysis.

Authors:  João Fevereiro; Nikta Sajjadi; Alexandra G Fraga; Pedro M Teixeira; Jorge Pedrosa
Journal:  PLoS Negl Trop Dis       Date:  2020-04-08
  9 in total

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