Next Article in Journal
Coordinated Action of RTBV and RTSV Proteins Suppress Host RNA Silencing Machinery
Next Article in Special Issue
Advantages of Whole Genome Sequencing in Mitigating the Helicobacter pylori Antimicrobial Resistance Problem
Previous Article in Journal
Selective Isolation of Eggerthella lenta from Human Faeces and Characterisation of the Species Prophage Diversity
Previous Article in Special Issue
In Vitro Effects of Lactobacillus plantarum LN66 and Antibiotics Used Alone or in Combination on Helicobacter pylori Mature Biofilm
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 10
Issue 1
10.3390/microorganisms10010196
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Next-Generation Sequencing-Based Study of Helicobacter pylori Isolates from Myanmar and Their Susceptibility to Antibiotics

by
Phawinee Subsomwong
1,2,†,
Dalla Doohan
1,3,†,
Kartika Afrida Fauzia
1,3,4,
Junko Akada
1,
Takashi Matsumoto
1,
Than Than Yee
5,
Kyaw Htet
6,
Langgeng Agung Waskito
1,3,
Vo Phuoc Tuan
1,7,
Tomohisa Uchida
8,
Takeshi Matsuhisa
9 and
Yoshio Yamaoka
1,10,11,*
1
Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Yufu 879-5593, Japan
2
Department of Microbiology and Immunology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
3
Department of Public Health and Preventive Medicine, Universitas Airlangga, Surabaya 60115, Indonesia
4
Institute of Tropical Disease, Universitas Airlangga, Surabaya 60115, Indonesia
5
Department of GI and HBP Surgery, No. (2) Defense Service General Hospital (1000 Bedded), Nay Pyi Taw 15013, Myanmar
6
Department of GI and HBP Surgery, No. (1) Defense Service General Hospital (1000 Bedded), Mingaladon, Yangon 11021, Myanmar
7
Department of Endoscopy, Cho Ray Hospital, Ho Chi Minh 749000, Vietnam
8
Department of Molecular Pathology, Faculty of Medicine, Oita University, Yufu 879-5593, Japan
9
Department of Gastroenterology, Nippon Medical School Tama Nagayama Hospital, Tama 206-8512, Japan
10
Department of Medicine, Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, TX 77030, USA
11
Global Oita Medical Advanced Research Center for Health (GO-MARCH), Yufu 879-5593, Japan
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Microorganisms 2022, 10(1), 196; https://doi.org/10.3390/microorganisms10010196
Submission received: 29 December 2021 / Revised: 13 January 2022 / Accepted: 14 January 2022 / Published: 17 January 2022
(This article belongs to the Special Issue Antibiotic Resistance of Helicobacter pylori)
Browse Figures
Review Reports Versions Notes

Abstract

:
Evaluation of Helicobacter pylori resistance to antibiotics is crucial for treatment strategy in Myanmar. Moreover, the genetic mechanisms involved remain unknown. We aimed to investigate the prevalence of H. pylori infection, antibiotic resistance, and genetic mechanisms in Myanmar. One hundred fifty patients from two cities, Mawlamyine (n = 99) and Yangon (n = 51), were recruited. The prevalence of H. pylori infection was 43.3% (65/150). The successfully cultured H. pylori isolates (n = 65) were tested for antibiotic susceptibility to metronidazole, levofloxacin, clarithromycin, amoxicillin, and tetracycline by Etest, and the resistance rates were 80%, 33.8%, 7.7%, 4.6%, and 0%, respectively. In the multidrug resistance pattern, the metronidazole–levofloxacin resistance was highest for double-drug resistance (16/19; 84.2%), and all triple-drug resistance (3/3) was clarithromycin–metronidazole–levofloxacin resistance. Twenty-three strains were subjected to next-generation sequencing to study their genetic mechanisms. Interestingly, none of the strains resistant to clarithromycin had well-known mutations in 23S rRNA (e.g., A2142G, A2142C, and A2143G). New type mutation genotypes such as pbp1-A (e.g., V45I, S/R414R), 23S rRNA (e.g., T248C), gyrA (e.g., D210N, K230Q), gyrB (e.g., A584V, N679H), rdxA (e.g., V175I, S91P), and frxA (e.g., L33M) were also detected. In conclusion, the prevalence of H. pylori infection and its antibiotic resistance to metronidazole was high in Myanmar. The H. pylori eradication regimen with classical triple therapy, including amoxicillin and clarithromycin, can be used as the first-line therapy in Myanmar. In addition, next-generation sequencing is a powerful high-throughput method for identifying mutations within antibiotic resistance genes and monitoring the spread of H. pylori antibiotic-resistant strains.

1. Introduction

The successful attempt to isolate and culture the gram-negative microaerophilic bacterium that infects the gastric epithelium has become an important event in the extensive study of Helicobacter pylori (H. pylori) [1]. The prevalence of H. pylori infection varies according to geographical region [2]. The interaction between H. pylori, the host, and the environment (e.g., socioeconomic status, dietary habits, sanitary conditions, lifestyle), and the balance among these factors is the probable cause of the geographical differences in prevalence. Currently, H. pylori infection is estimated to affect half of the world’s population, and it has been suggested that low prevalence has been reported only in some developed countries [2,3]. As H. pylori infection has been attributed to poor sanitation, poor socioeconomic status, and overcrowding, no declining tendency has been noted in the majority of developing countries [4,5].
H. pylori can be eradicated using antibiotics. However, the combination of more than one antibiotic with either a proton pump inhibitor or bismuth is necessary to achieve a cure rate of more than 90% [6]. H. pylori eradication continues to become a challenge for clinicians because of the development of antibiotic resistance. The increase in H. pylori resistance to clarithromycin (CAM), metronidazole (MNZ), and levofloxacin (LVX) has been reported to be responsible for the decrease in cure rates worldwide [7]. The success of individual therapies mainly depends on information on the resistance patterns in a given region. Population-based antibiotic susceptibility test data may provide valuable information for the development of an eradication strategy. In addition, understanding the underlying mechanisms of these antibiotics is also important [8]. Multiple antibiotics are used in the H. pylori treatment regimen, and each patient has a specific target. Investigation of the whole-genome sequence by next-generation sequencing enables researchers to comprehensively and precisely identify mutations in multiple genes simultaneously, and molecular studies to detect the mutations in H. pylori drug resistance-related genes play an important role in rapidly investigating possible H. pylori resistance statuses and provide further insights into antibiotic resistance mechanisms.
Myanmar is a developing country located in Southeast Asia with a total population of approximately 51.5 million, with most residents living in rural areas (https://myanmar.unfpa.org/, 23 January 2021). Our previous study, conducted in Yangon and Mandalay, showed that the overall prevalence of H. pylori infection was 48.0% [9]. There was a report of H. pylori MNZ, ciprofloxacin, and LVX resistance in Myanmar [10]. However, the mechanism of antibiotic resistance, especially gene mutations, is unknown. In this study, we aimed to analyze the genetic mutations associated with the five common antibiotics used for H. pylori therapy in Myanmar using whole-genome sequencing techniques.

2. Materials and Methods

2.1. Study Participants

We performed an upper endoscopic survey of patients with dyspeptic symptoms in Mawlamyine (13–15 February 2017) and Yangon (16–17 February 2017). Patients with a history of gastric resection, antibiotic usage within 2 weeks before endoscopy, or previous H. pylori eradication treatment were excluded from this study. Continuous patients were recruited for this study. The biopsy specimen was taken from the lesser curvature of the antrum (approximately 2 cm from the pyloric ring). Specimens from the antrum were used for H. pylori culture, and the biopsy specimens for culture were placed in transport media and immediately stored at −80 °C until use. The samples were shipped under dry ice to Japan (Oita University Faculty of Medicine) where all analyses were performed.
All participants provided written informed consent, and the study was approved by the ethics committee of No. (1) and No. (2) Defense Services General Hospital (1000 Bedded), Myanmar, and the Oita University Faculty of Medicine (No. P-10-12), Japan.

2.2. H. pylori Infection Status and Gastritis Histology Score

H. pylori culture was performed as described previously [11]. Briefly, the homogenized biopsy specimen was inoculated onto H. pylori-selective media (Nissui Pharmaceutical Co., Ltd., Tokyo, Japan) and incubated for up to 10 days at 37 °C under microaerophilic conditions (10% O2, 5% CO2, and 85% N2). H. pylori was then sub-cultured onto Brucella agar (Becton Dickinson, Sparks, MD, USA) supplemented with 7% horse blood (Nippon Bio-test, Tokyo, Japan) without antibiotics. H. pylori was determined based on the Gram staining results, bacterial morphology, and positive results for catalase, urease, and oxidase tests. Isolated strains were stored in Brucella broth (Becton Dickinson, Sparks, MD, USA) containing 10% glycerol and 10% horse serum and stored at −80 °C until use.

2.3. Antibiotic Susceptibility Test

The antibiotic susceptibility to five major H. pylori antibiotics, amoxicillin (AMX), CAM, MNZ, LVX, and tetracycline (TCN), was measured using Etest (Biomerieux, Marcy-l’Étoile, France), as previously described [12]. Briefly, the H. pylori suspension was adjusted to be equivalent to 3.0 McFarland and then inoculated onto Mueller–Hinton II agar (Becton Dickinson, Sparks, MD, USA). An Etest strip was placed in the middle of each agar plate, and the plates were incubated at 37 °C under microaerophilic conditions (10% O2, 5% CO2, and 85% N2). The minimum inhibitory concentration (MIC) of H. pylori strains towards each antibiotic was determined after 72 h. The determination of the resistant strain was made by following the European Committee on Antimicrobial Susceptibility Testing (EUCAST; Clinical Breakpoint Table v. 5.0) criteria; MIC of >0.125 mg/L for AMX, >0.5 mg/L for CAM, >8 mg/L for MNZ, >1 mg/L for LVX, and >1 mg/L for TCN [13].

2.4. Molecular Analysis of H. pylori Resistant Strains

The genomic DNA of the H. pylori isolates was extracted using the DNeasy Blood and Tissue kit (Qiagen, Valencia, CA, USA) following the manufacturer’s recommendations, and the product was stored at −20 °C until use. Whole-genome sequencing was performed using the MiSeq platform (Illumina, San Diego, CA, USA). The MiSeq output was trimmed to remove low-quality bases and sequencing adapters using Trimmomatic version 0.39 [14]. Subsequently, we performed de novo assembly to obtain the contigs of each sequenced strain using the SPAdes algorithm [15]. The genes extracted from the contigs were analyzed using the BLAST algorithm [16]. The BLAST query was 23S rRNA (hp_r01), rdxA (hp0954), frxA (hp0642), gyrA (hp0701), gyrB (hp0501), pbp-1A (hp0597), and rpl22 (hp1314) from the H. pylori 26695 reference genome (GenBank accession number AE000511.1). We aligned five randomly selected sensitive strains and the resistant strains to the reference genes of strain 26,695 using MAFFT software (https://mafft.cbrc.jp/alignment/software/; 15 September 2020). After confirming the absence of insertions or deletions leading to a frameshift mutation, all the sequences were aligned at the codon level except for the 23S rRNA using MAFFT software [17]. The aligned sequence was performed by variant call using SNP-sites with the first aligned sequence from strain 26,695, which, by default, was assigned as the reference [18]. Variants that appeared in the sensitive and resistant strains were considered normal variants. Variants that appeared only in the resistant strains were considered to be antibiotic resistance-related variants.

2.5. Data Analysis

Statistical analysis was performed using SPSS statistical software (version 23.0; IBM Corp., Armonk, NY, USA). We analyzed the discrete variables using the Fisher exact test, whereas continuous variables were determined using the Mann–Whitney U test, and statistical significance was determined when the p-value was <0.05.

3. Results

3.1. H. pylori Infection Status

A total of 150 patients (98 men and 53 women) were recruited from two cities, Mawlamyine (n = 99) and Yangon (n = 51). Among the patients, the Bamer ethnic group (n = 116) was the main population. Gastritis (n = 110) was the main endoscopic diagnosis followed by duodenal ulcer (n = 27), gastric ulcer (n = 6), gastroesophageal reflux disease (GERD) (n = 4), and gastric cancer (n = 3). The prevalence of H. pylori infection was 43.3% (65/150) according to culture. The mean age of the infected patients was 46.6 ± 12.2 years. There was no significant difference in the overall H. pylori prevalence between men and women. The infection rates in the two locations were similar (44.4% in Mawlamyine and 41.2% in Yangon). All diagnostic tests showed a higher positive rate in patients with gastric cancer and duodenal ulcers than in patients with gastritis.

3.2. Antibiotic Susceptibility Test

We performed an antibiotic susceptibility test for five major antibiotics (AMX, CAM, LVX, TCN, and MNZ) on all H. pylori isolates (n = 65). Overall, the frequency of resistance to MNZ was the highest (80%), followed by LVX (33.8%), CAM (7.7%), and AMX (4.6%) (Figure 1). None of the H. pylori isolates were resistant to TCN. The MIC distribution in CAM, MNZ, and LVX showed a bimodal pattern, indicating persistent colonies in the population. Meanwhile, AMX and TCN showed a unimodal distribution, consistent with the sensitive traits in most strains.
The demographic data of the hosts possessing resistant strains were also analyzed (Table 1 and Supplementary Figure S1). Although the resistance to LVX and MNZ was slightly higher in female subjects (45.0% and 85.0%, respectively), it was not significantly different (p values are 0.2 and 0.5, respectively). Meanwhile, the prevalence of CAM resistance was different among ethnicities (p < 0.03), and the highest resistance prevalence was observed in men (2/5; 40%) (Table 1). Among the two cities, slightly higher resistance rates of CAM, LVX, and AMX were observed in Yangon.
The multidrug resistance (MDR) patterns are shown in Table 2. Although the prevalence of resistance to each antibiotic was low, only eight isolates (12.3%) were sensitive to all five antibiotics, and 57 isolates (87.7%) were single-, double-, or triple-drug-resistant (53.8%, 29.2%, and 4.6%, respectively). The resistance to MNZ was highest (32/65, 49.2%) for single-drug, MNZ and LVX (16/19, 84.2%) for double-drug, and CAM + MNZ + LVX (3/3, 100%) for the triple-drug resistance pattern. Interestingly, in this study, all resistance to AMX was linked to other antibiotics (CAM, MNZ, or LVX). Hence, resistance to amoxicillin may indicate the presence of multidrug resistance. The antibiotic resistance rate was similar in Yangon and Mawlamyine (p > 0.05), although 66.7% of subjects infected with multidrug-resistant strains were obtained from Yangon.

3.3. Genetic Mutation Study

Mutations in genes related to antibiotic resistance have been reported to play an important role in antibiotic resistance mechanisms. We examined the association between antibiotic resistance and mutations in genes related to each antibiotic. A total of 23 strains (35% of the total culture-positive strain) were selected for genomic DNA extraction and whole-genome sequencing using MiSeq. The selected H. pylori strains consisted of five strains that were sensitive to all antibiotics (5/8), and 18 strains (18/57) with single-, double-, and triple-antibiotic resistance. A number of strains resistant to AMX- (n = 3), CAM (n = 5), MNZ(n = 11), and LVX (n = 13) underwent sequencing as described in Supplementary Table S1.

3.3.1. Amoxicillin Resistance

Mutations in the pbp1-A gene, which encodes penicillin-binding protein A, are associated with AMX resistance [19,20]. Among the 23 strains, three strains showed resistance, and 20 showed sensitivity to AMX. Among the resistant strains, the mutations at positions V45I (2/3, 66.7%), S414R and V414R (2/3, 66.7%), D465K and D/del (2/3, 66.7%), V471M (1/3, 33.3%), and N564Y (1/3, 33.3%) were observed (Table 3). None of the AMX-sensitive strains carried any mutations in these positions compared to all five drug-sensitive strains. The point mutation at position N564Y was found only in strain MMM3, which had a higher MIC. The increase in MIC levels in AMX-resistant H. pylori strains has the potential to be mediated by this position.

3.3.2. Clarithromycin Resistance

Among the 23 strains, five showed resistance to CAM and 18 showed sensitivity to CAM. All the strains were analyzed for the 23S rRNA gene, which is the main target of CAM mutations [21]. Of the five CAM-resistant H. pylori strains, three had a mutation at position T248C (Table 4). Surprisingly, a well-known mutation (A2143G) was not detected in the Myanmar strains (Figure 2). In addition, we investigated mutations in other target genes, such as the rpl22 gene, which encodes a ribosomal protein that interacts with the 23S rRNA domain. Four CAM-resistant strains obtained from one to three point mutations (except strain MMM86 did not contain any mutation in the gene). None of the 13 sensitive strains carried any mutations in the 23S rRNA and rpl22 genes.

3.3.3. Levofloxacin Resistance

LVX is a fluoroquinolone group that inhibits DNA gyrase and topoisomerase IV. The common mechanism for levofloxacin resistance is point mutations in the quinolone resistance-determining region of gyrA and gyrB genes from DNA gyrase [22,23]. Eleven H. pylori strains were LVX-resistant, and 12 strains were sensitive to LVX. All 23 H. pylori strains were analyzed using the gyrA and gyrB gene sequences shown in Table 5. Among the 11 LVX-resistant strains, seven strains possessed an amino acid substitution at Asp-91, including D91N (5/11, 45.5%), D91G (1/11, 9.1%), and D91Y (1/11, 9.1%) (p > 0.05). The remaining strains did not possess a mutation in the quinolone-determining region of gyrA (MMM37, 44, 47, and 149), but possessed other possible novel mutations such as D210N, K230Q, A524V, and A661T, which were not observed in the five sensitive strains. Although GyrB is also the target of quinolone, only one strain possesses a gyrB mutation that has been reported in a previous study (S479G) [24]. Hence, the resistance might be explained by novel mutations in gyrB, such as A584V, N679H, M676V, V614I, and several other variants. We also obtained truncated gyrA in the two strains and truncated gyrB genes in the two strains. Most of the tested strains possessed multiple mutations with more than two mutations in gyrA (8/11, 72.7%) and gyrB (5/11, 45.5%).

3.3.4. Metronidazole Resistance

Resistance to MNZ can change various mutations in several genes; nonetheless, the rdxA and frxA genes are highly associated with mutational inactivation. The rdxA gene encodes an oxygen-insensitive NADPH nitroreductase, and the frxA gene encodes NADPH flavin oxidoreductase. The combination of these two gene mutations may contribute to the resistance phenotype in MNZ resistance. We performed sequence analysis of rdxA and frxA from 13 MNZ-resistant and 10 sensitive strains (Supplementary Table S2). From the next-generation sequencing data, we could not obtain the rdxA gene from one strain (MMM33) because of the limitations of the analysis; therefore, we were able to analyze the rdxA gene sequences of 12 resistant strains. All 12 resistant strains possessed a mutation in rdxA, and three of them harbored mutations with an early stop codon. We observed that the point mutation at location V175I was the most common (8/12, 66.7%), followed by S91P (5/12, 41.7%) and R16H/C (4/12, 33.3%). The V175I point mutation could be the common phenotype of MNZ resistance due to either lower MIC (16 mg/L) or high MIC (more than 256 mg/L) obtained from the mutation in the rdxA gene. Meanwhile, the mutation in frxA was observed in 76.9% (10/13) of the resistant strains, and an early stop codon was only observed in one strain. Within the frxA gene, L33M was the most frequent point mutation (3/13, 23.1%). Moreover, the higher number of point mutations may not explain the increase in MIC by comparing the number of mutations in high and low MIC in both rdxA and frxA genes.

4. Discussion

This study revealed that the prevalence of H. pylori infection was considerably high in Myanmar, where more than half of the participants (53.3%) were infected with H. pylori. The prevalence of H. pylori infection was also high in subjects with more severe gastroduodenal diseases, such as gastric ulcers, GERD, and duodenal ulcers. The prevalence was similar to that in our previous study in the two biggest cities in Myanmar, Yangon and Mandalay, which reported that the overall H. pylori infection prevalence was 48.0% [9]. The involvement of environmental influences, such as sanitation, might be considered an important factor for H. pylori infection [25]. While sanitation access is estimated to be 77–84% in urban areas, the least sanitary coverage is only 48%, showing that there are considerably high disparities in sanitation between urban and rural areas [25]. Therefore, early diagnosis and treatment together with the improvement of sanitation in Myanmar will be necessary to control the high H. pylori infection rate.
The high prevalence of H. pylori infection highlights the importance of eradication strategies in Myanmar. To date, guidelines for H. pylori eradication in Myanmar are not available. The guidelines should be constructed according to resistance patterns because resistance prevalence varies widely according to geographical region, as reported by a previous Asia-Pacific and worldwide meta-analyses [26,27]. Even among cities, as in Yangon and Mawlamyine in this study, a different prevalence could be due to the different customs regarding antibiotic consumption and regulation [28]. Our previous study in Myanmar reported that MNZ-resistant H. pylori is quite common, while AMX-resistant strains are rare, and there are no CAM-resistant strains [10]. In this study, we also revealed a low prevalence of AMX and CAM resistance. These results were congruent with a recent meta-analysis showing that the prevalence of primary CAM resistance in the Southeast Asia Region (SEAR) was approximately 10%, while the AMX resistance was less than 5% [26]. These results suggest that a CAM-based first-line regimen may serve as a wise option for H. pylori eradication therapy in Myanmar [29]. Although the efficacy of standard triple therapy has decreased worldwide, especially due to the increase in CAM resistance [25], it is fortunate that CAM can be used in Myanmar. However, according to the yearly follow-up, there has been a significant increase in CAM resistance during the past few years [30]. Nevertheless, CAM should be carefully used while considering patient compliance to prevent the development of CAM resistance. A surveillance study for antibiotic resistance should also be routinely performed over the next several years.
The assessment of levofloxacin, metronidazole, and tetracycline is crucial as an alternative to consider when resistance to clarithromycin, as the most common triple therapy, arises. In Myanmar, the TCN resistance was zero. Therefore, AMX-containing triple therapy or TCN-containing quadruple therapy is also considered an alternative regimen to combat H. pylori infection in Myanmar [31]. As for second-line therapy, LVX-based triple therapy is recommended to be effective after the failure of a CAM-containing regimen [32]. However, LVX-resistant H. pylori is common (33.8%); therefore, bismuth-containing quadruple therapy consisting of bismuth, PPI, and a combination of two antibiotics, amoxicillin, tetracycline, or furazolidone, is utilized [31]. Another option for second-line treatment is rifabutin-based triple therapy, which also considers resistance of Mycobacterium tuberculosis in the population, as recommended in other guidelines [33].
This is the first study to investigate genetic mutations in H. pylori antibiotic-resistant isolates from clinical samples in Myanmar. Mutations in genes related to antibiotic resistance have been reported to play an important role in antibiotic resistance mechanisms, although this is not the only mechanism for antibiotic resistance [34]. Analysis using the whole-genome sequence has the potential to identify multiple genes and clearly evaluate nucleotide alterations among the strains [34,35,36]. Furthermore, detection of mutations in the gyrA and 23s rRNA genes has been used as an alternative method to identify resistance to CAM and LVX in H. pylori. This molecular detection offered a relatively faster result compared to the traditional phenotypic results [37,38]. However, the phenotypic results are the gold standard, despite being time-consuming, and their interpretation requires a trained individual [39]. In this study, the evaluation of both methods not only validated the molecular approach for antibiotic resistance detection but also provided insight into the mechanism of antibiotic resistance.
Amino acid substitution within gyrA has been associated with fluoroquinolone-related resistance. A previous study also reported that a natural transformation of mutation-carrying DNA to fluoroquinolone-sensitive isolates could account for resistance to fluoroquinolones [40]. Our study revealed several new mutations that could only be found in resistant strains. Meanwhile, almost all LVX-resistant isolates analyzed had an amino acid substitution at position 91 (Asp-91 to Asn or Tyr). Interestingly, we did not find any mutation at position 87, which was also reported to be strongly associated with fluoroquinolone resistance [41] and found in LVX-resistant strains from neighboring Southeast Asian countries such as Indonesia [12], Malaysia [42], and Cambodia [36]. Both mutations also appear in non-SEAR studies, such as in China and Turkey. Our results supported the previous finding that the mutation at position 91 increased the risk for resistance by 125.427 times compared to the wild type, while position 87 only increased the risk by 70.156 times [43]. In another study, mutations in locus 91 were only detected in resistant strains, whereas mutations at position 87 were found in sensitive strains [44]. Thus, antibiotic resistance diagnostic tests based on the mutation at locus 91 could be useful in the Myanmar population.
MNZ resistance is correlated with various RdxA mutations [45,46]. We found several isolates from Myanmar harboring the well-known R16H/C mutation in RdxA. Mutations in the R16 location are classified as class I mutations, which are expected to reduce the affinity of the apoprotein for the FMN cofactor [47]. However, we also found that most of the MNZ-resistant strains harbored the novel mutations V175I and S91P. The high prevalence of novel V175I and S91P suggests that these mutations play an important role in the MNZ resistance mechanism in H. pylori isolated from Myanmar. Metronidazole resistance is multifactorial, including the role of the frxA gene encoding NAD(P)H-flavin oxidoreductase [48]. However, concordant with other previous studies, the mutations found in this study were sporadic and difficult to determine [49,50]. Hence, further studies are needed to provide evidence of the involvement of these novel point mutations in the MNZ resistance mechanism.
Currently, the mechanism of AMX resistance in H. pylori is yet to be confirmed. However, several genetic determinants of pbp-1 have been reported to be associated with AMX resistance, such as mutations at S414R and N562Y [51]. Interestingly, we found that both mutations at S414R and V45I appeared in two-thirds of the AMX-resistant strains analyzed in this study. Similar to our results, mutations at S414R and V45I were previously reported in AMX-resistant H. pylori strains isolated from Korean patients [52].
We also used our approach to detect mutations in 23S rRNA in CAM-resistant strains. Interestingly, strains resistant to CAM did not have well-known mutations in 23S rRNA, such as A to G substitution at nucleotide positions 2142 or 2143 [53] or A to C substitution at nucleotide position 2142 [21]. This finding also indicates that the use of a commercially available PCR-based kit focuses on locus 2142, 2143, 2146, and 2147, which might lead to false negative results [37,54]. It also underlines that PCR-based detection should be cautiously used according to the pattern of mutation in the location. Nevertheless, this study revealed a new mutation locus, such as the substitution of threonine with cysteine at locus 248, which was present in 60% of the resistance strains and absent in the sensitive strains. Although natural transformation is necessary to confirm, this finding and other mutations in the 23S rRNA gene might offer new insights into the antibiotic resistance mechanism. It is also indicated that antibiotic resistance is multifactorial and correlated to induce multidrug resistance, which was also prevalent in Myanmar. Mechanisms such as the increase in efflux pump expression, dormancy, and biofilm formation could be responsible [34,55,56].
This study had several limitations. First, the samples were only collected from two locations in Myanmar, so this result may not represent Myanmar as a whole country. Second, the number of isolates used for antibiotic susceptibility testing was relatively small. However, our results may serve as an important basis for deciding a general policy for H. pylori eradication strategies in Myanmar. Third, some genetic determinants of antibiotic resistance could not be confirmed because of the small number of isolates (e.g., only five CAM-resistant strains, three AMX-resistant strains, and no TCN-resistant strain). Fourth, despite the advantage of the whole-genome sequencing method, the sequencing error possibly affected the assembly result and yielded genes with some missing parts that could also be interpreted as a truncated gene. This phenomenon that appears in gyrA and gyrB should be cautiously addressed and requires further confirmation. Finally, further studies, such as clinical trials, are important to examine the efficacy of eradication regimen therapy.

5. Conclusions

The prevalence of H. pylori infection in Myanmar is high. Antibiotic susceptibility testing showed that the resistance towards MNZ and LVX was high, while the resistance towards AMX, CAM, and TCN was low. Antibiotic resistance mechanisms might be explained by genetic mutations within various H. pylori genes. The low prevalence of AMX and CAM resistance suggests that AMX- and CAM-containing therapy regimens can still be used as a first-line therapy to combat the high prevalence of H. pylori infection in Myanmar.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms10010196/s1; Figure S1. Distribution of antibiotic resistance based on the clinical outcome. AMX; amoxicillin, CAM; clarithromycin, LVX; levofloxacin, MNZ; metronidazole, TCN; tetracycline, Table S1. The selected H. pylori strains for genotyping study by whole-genome sequencing; Supplementary Table S2. Mutations in rdxA and frxA that were associated with MNZ-resistance.

Author Contributions

Conceptualization: P.S., D.D. and Y.Y.; methodology: J.A., T.M. (Takashi Matsumoto); investigation: P.S., D.D., L.A.W., K.A.F., V.P.T. and T.U; resources: T.T.Y., K.H., T.M. (Takeshi Matsuhisa) and Y.Y.; data curation: K.A.F., L.A.W. and V.P.T.; writing—original draft preparation: P.S. and D.D.; writing—review and editing: P.S., D.D., K.A.F. and Y.Y.; visualization: K.A.F. and P.S.; supervision: Y.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported in part by grants from the National Institutes of Health (DK62813) (YY) and Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan (221S0002, 16H06279, 18KK0266, 19H03473) (YY), 18K16182 (TM 1), and 17K09353(JA). This work was also supported by the Japan Society for the Promotion of Science Institutional Program for Young Researcher Overseas Visits and the Strategic Funds for the Promotion of Science and Technology Agency (JST) for YY. DD and KAF are Ph.D. students supported by the Japanese Government (MEXT) scholarship program for 2016 and 2017, respectively.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Defense Services General Hospital (1000 Bedded), (No. (1) and No. (2)) Myanmar, and the Oita University Faculty of Medicine (No. P-10-12), Japan.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The nucleotide sequence data reported in this study are available under the DDBJ accession number LC595322-LC595338 (gyrA), LC595339-LC595355 (gyrB), LC595450-LC595468 (hp0642, frxA), LC595507-LC595524 (hp0954, rdxA), LC595573-LC595581 (pbp1-A), LC595582-LC595591 (rpl22) and LC595592-LC595601 (23s rRNA).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Marshall, B.J.; Warren, J.R. Unidentified curved bacilli in the stomach of patients with gastritis and peptic ulceration. Lancet 1984, 1, 1311–1315. [Google Scholar] [CrossRef]
  2. Hooi, J.K.Y.; Lai, W.Y.; Ng, W.K.; Suen, M.M.Y.; Underwood, F.E.; Tanyingoh, D.; Malfertheiner, P.; Graham, D.Y.; Wong, V.W.S.; Wu, J.C.Y.; et al. Global prevalence of Helicobacter pylori infection: Systematic review and meta-analysis. Gastroenterology 2017, 153, 420–429. [Google Scholar] [CrossRef] [Green Version]
  3. Nagy, P.; Johansson, S.; Molloy-Bland, M. Systematic review of time trends in the prevalence of Helicobacter pylori infection in China and the USA. Gut Pathog. 2016, 8, 1–14. [Google Scholar] [CrossRef] [Green Version]
  4. Malaty, H.M.; Graham, D.Y. Importance of childhood socioeconomic status on the current prevalence of Helicobacter pylori infection. Gut 1994, 35, 742–745. [Google Scholar] [CrossRef] [Green Version]
  5. Moayyedi, P.; Axon, A.T.R.; Feltbower, R.; Duffett, S.; Crocombe, W.; Braunholtz, D.; Richards, I.D.G.; Dowell, A.C.; Forman, D. Relation of adult lifestyle and socioeconomic factors to the prevalence of Helicobacter pylori infection. Int. J. Epidemiol. 2002, 31, 624–631. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Graham, D.Y.; Dore, M.P.; Lu, H. Understanding treatment guidelines with bismuth and non-bismuth quadruple Helicobacter pylori eradication therapies. Expert Rev. Anti-Infective Ther. 2018, 16, 679–687. [Google Scholar] [CrossRef] [PubMed]
  7. De Francesco, V.; Giorgio, F.; Hassan, C.; Manes, G.; Vannella, L.; Panella, C.; Ierardi, E.; Zullo, A. Worldwide H. pylori antibiotic resistance: A systematic review. J. Gastrointest. Liver Dis. 2010, 19, 409–414. [Google Scholar]
  8. Miftahussurur, M.; Cruz, M.; Subsomwong, P.; Abreu, J.A.J.; Hosking, C.; Nagashima, H.; Akada, J.; Yamaoka, Y. Clarithromycin-based triple therapy is still useful as an initial treatment for Helicobacter pylori infection in the Dominican Republic. Am. J. Trop. Med. Hyg. 2017, 96, 1050–1059. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Myint, T.; Shiota, S.; Vilaichone, R.K.; Aye, T.T.; Matsuda, M.; Tran, T.T.H.; Uchida, T.; Mahachai, V.; Yamaoka, Y. Prevalence of Helicobacter pylori infection and atrophic gastritis in patients with dyspeptic symptoms in Myanmar. World J. Gastroenterol. WJG 2015, 21, 629. [Google Scholar] [CrossRef]
  10. Vilaichone, R.-K.; Quach, D.T.; Yamaoka, Y.; Sugano, K.; Mahachai, V. Prevalence and pattern of antibiotic resistant strains of Helicobacter pylori infection in ASEAN. Asian Pac. J. Cancer Prev. 2018, 19, 1411–1413. [Google Scholar] [CrossRef] [PubMed]
  11. Syam, A.F.; Miftahussurur, M.; Makmun, D.; Nusi, I.A.; Zain, L.H.; Akil, F.; Uswan, W.B.; Simanjuntak, D.; Uchida, T.; Adi, P.; et al. Risk factors and prevalence of Helicobacter pylori in five largest islands of Indonesia: A preliminary study. PLoS ONE 2015, 10, e0140186. [Google Scholar] [CrossRef]
  12. Miftahussurur, M.; Syam, A.F.; Nusi, I.A.; Makmun, D.; Waskito, L.A.; Zein, L.H.; Akil, F.; Uwan, W.B.; Simanjuntak, D.; Wibawa, I.D.N.; et al. Surveillance of Helicobacter pylori antibiotic susceptibility in Indonesia: Different resistance types among regions and with novel genetic mutations. PLoS ONE 2016, 11, e0166199. [Google Scholar] [CrossRef] [PubMed]
  13. Eucast, T. European Committee on Antimicrobial Susceptibility Testing, Breakpoint Tables for Interpretation of MICs and Zone Diameters; European Society of Clinical Microbiology and Infectious Diseases: Basel, Switzerland, 2015. [Google Scholar]
  14. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [Green Version]
  15. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [Green Version]
  16. Altschup, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  17. Kazutaka, K.; Misakwa, K.; Kei-ichi, K.; Miyata, T. MAFFT: A novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002, 30, 3059–3066. [Google Scholar] [CrossRef] [Green Version]
  18. Page, A.J.; Taylor, B.; Delaney, A.J.; Soares, J.; Seemann, T.; Keane, J.A.; Harris, S.R. SNP-sites: Rapid efficient extraction of SNPs from multi-FASTA alignments. Microb. Genom. 2016, 2, e000056. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Gerrits, M.M.; Schuijffel, D.; van Zwet, A.A.; Kuipers, E.J.; Vandenbroucke-Grauls, C.M.J.E.; Kusters, J.G. Alterations in Penicillin-Binding Protein 1A Confer Resistance to β-Lactam Antibiotics in Helicobacter pylori. Antimicrob. Agents Chemother. 2002, 46, 2229–2233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Rimbara, E.; Noguchi, N.; Kawai, T.; Sasatsu, M. Mutations in penicillin-binding proteins 1, 2 and 3 are responsible for amoxicillin resistance in Helicobacter pylori. J. Antimicrob. Chemother. 2008, 61, 995–998. [Google Scholar] [CrossRef] [Green Version]
  21. Stone, G.G.; Shortridge, D.; Flamm, R.K.; Versalovic, J.; Beyer, J.; Idler, K.; Zulawinski, L.; Tanaka, S.K. Identification of a 23S rRNA gene mutation in clarithromycin-resistant Helicobacter pylori. Helicobacter 1996, 1, 227–228. [Google Scholar] [CrossRef] [PubMed]
  22. Cabral JH, M.; Jackson, A.P.; Smith, C.V.; Shikotra, N.; Maxwell, A.; Liddington, R.C. Crystal structure of the breakage–reunion domain of DNA gyrase. Nature 1997, 388, 903–906. [Google Scholar] [CrossRef] [PubMed]
  23. Wohlkonig, A.; Chan, P.F.; Fosberry, A.P.; Homes, P.; Huang, J.; Kranz, M.; Leydon, V.R.; Miles, T.J.; Pearson, N.D.; Perera, R.; et al. Structural basis of quinolone inhibition of type IIA topoisomerases and target-mediated resistance. Nat. Struct. Mol. Biol. 2010, 17, 1152–1153. [Google Scholar] [CrossRef]
  24. Camorlinga-Ponce, M.; Gómez-Delgado, A.; Aguilar-Zamora, E.; Torres, R.C.; Giono-Cerezo, S.; Escobar-Ogaz, A.; Torres, J. Phenotypic and genotypic antibiotic resistance patterns in Helicobacter pylori strains from ethnically diverse population in México. Front. Cell. Infect. Microbiol. 2021, 10, 539115. [Google Scholar] [CrossRef] [PubMed]
  25. Dattoli, V.C.C.; Veiga, R.V.; Da Cunha, S.S.; Pontes-De-Carvalho, L.C.; Barreto, M.L.; Alcântara-Neves, N.M. Seroprevalence and potential risk factors for Helicobacter pylori infection in Brazilian children. Helicobacter 2010, 15, 273–278. [Google Scholar] [CrossRef] [Green Version]
  26. Savoldi, A.; Carrara, E.; Graham, D.Y.; Conti, M.; Tacconelli, E. Prevalence of antibiotic resistance in Helicobacter pylori: A systematic review and meta-analysis in World Health Organization regions. Gastroenterology 2018, 155, 1372–1382. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Kuo, Y.-T.; Liou, J.-M.; El-Omar, E.; Wu, J.-Y.; Leow, A.H.R.; Goh, K.L.; Das, R.; Lu, H.; Lin, J.-T.; Tu, Y.-K.; et al. Primary antibiotic resistance in Helicobacter pylori in the Asia-Pacific region: A systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 2017, 2, 707–715. [Google Scholar] [CrossRef]
  28. Čižman, M. The use and resistance to antibiotics in the community. Int. J. Antimicrob. Agents 2003, 21, 297–307. [Google Scholar] [CrossRef]
  29. Organization world Health. UN-Water Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS) 2017 Report: Financing Universal Water, Sanitation and Hygiene Under the Sustainable Development Goals; WHO: Geneva, Switzerland, 2017. [Google Scholar]
  30. Sukri, A.; Lopes, B.S.; Hanafiah, A. The Emergence of multidrug-resistant Helicobacter pylori in Southeast Asia: A systematic review on the trends and intervention strategies using antimicrobial peptides. Antibiotics 2021, 10, 1061. [Google Scholar] [CrossRef] [PubMed]
  31. Malfertheiner, P.; Megraud, F.; O’morain, C.A.; Gisbert, J.P.; Kuipers, E.J.; Axon, A.T.; Bazzoli, F.; Gasbarrini, A.; Atherton, J.; Graham, D.Y.; et al. Management of Helicobacter pylori infection—the Maastricht V/Florence consensus report. Gut 2017, 66, 6–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Gisbert, J.P.; Morena, F. Systematic review and meta-analysis: Levofloxacin-based rescue regimens after Helicobacter pylori treatment failure. Aliment Pharmacol. Ther. 2006, 23, 35–44. [Google Scholar] [CrossRef]
  33. Fock, K.M.; Katelaris, P.; Sugano, K.; Ang, T.L.; Hunt, R.; Talley, N.J.; Lam, S.K.; Xiao, S.D.; Tan, H.J.; Wu, C.Y.; et al. Second Asia–Pacific consensus guidelines for Helicobacter pylori infection. J. Gastroenterol. Hepatol. 2009, 24, 1587–1600. [Google Scholar] [CrossRef]
  34. Tshibangu-Kabamba, E.; Yamaoka, Y. Helicobacter pylori infection and antibiotic resistance—from biology to clinical implications. Nat. Rev. Gastroenterol. Hepatol. 2021, 18, 1–17. [Google Scholar] [CrossRef] [PubMed]
  35. Tshibangu-Kabamba, E.; de Jesus Ngoma-Kisoko, P.; Tuan, V.P.; Matsumoto, T.; Akada, J.; Kido, Y.; Tshimpi-Wola, A.; Tshiamala-Kashala, P.; Ahuka-Mundeke, S.; Ngoyi, D.M.; et al. Next-generation sequencing of the whole bacterial genome for tracking molecular insight into the broad-spectrum antimicrobial resistance of Helicobacter pylori clinical isolates from the Democratic Republic of Congo. Microorganisms 2020, 8, 887. [Google Scholar] [CrossRef]
  36. Tuan, V.P.; Narith, D.; Tshibangu-Kabamba, E.; Dung, H.D.Q.; Viet, P.T.; Sokomoth, S.; Binh, T.T.; Sokhem, S.; Tri, T.D.; Ngov, S.; et al. A Next-generation sequencing-based approach to identify genetic determinants of antibiotic resistance in Cambodian Helicobacter pylori clinical isolates. J. Clin. Med. 2019, 8, 858. [Google Scholar] [CrossRef] [Green Version]
  37. Cambau, E.; Allerheiligen, V.; Coulon, C.; Corbel, C.; Lascols, C.; Deforges, L.; Soussy, C.-J.; Delchier, J.-C.; Megraud, F. Evaluation of a new test, genotype HelicoDR, for molecular detection of antibiotic resistance in Helicobacter pylori. J. Clin. Microbiol. 2009, 47, 3600–3607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Nishizawa, T.; Suzuki, H. Mechanisms of Helicobacter pylori antibiotic resistance and molecular testing. Front. Mol. Biosci. 2014, 1, 19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Liou, J.-M.; Chang, C.-Y.; Sheng, W.-H.; Wang, Y.-C.; Chen, M.-J.; Lee, Y.-C.; Hung, H.-W.; Chian, H.; Chang, S.-C.; Wu, M.-S.; et al. Genotypic resistance in Helicobacter pylori strains correlates with susceptibility test and treatment outcomes after levofloxacin- and clarithromycin-based therapies. Antimicrob. Agents Chemother. 2011, 55, 1123–1129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Kim, J.M.; Jung, H.C.; Song, I.S. Distribution of fluoroquinolone MICs in Helicobacter pylori strains from Korean patients. J. Antimicrob. Chemother. 2005, 56, 965–967. [Google Scholar] [CrossRef] [Green Version]
  41. Rimbara, E.; Noguchi, N.; Kawai, T.; Sasatsu, M. Fluoroquinolone resistance in Helicobacter pylori: Role of mutations at position 87 and 91 of gyrA on the level of resistance and identification of a resistance conferring mutation in gyrB. Helicobacter 2012, 17, 36–42. [Google Scholar] [CrossRef] [PubMed]
  42. Hanafiah, A.; Binmaeil, H.; Ali, R.A.R.; Rose, I.M.; Lopes, B.S. Molecular characterization and prevalence of antibiotic resistance in Helicobacter pylori isolates in Kuala Lumpur, Malaysia. Infect. Drug Resist. 2019, 12, 3051–3061. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Ziver-Sarp, T.; Yuksel-Mayda, P.; Saribas, S.; Demiryas, S.; Gareayaghi, N.; Ergin, S.; Tasci, I.; Ozbey, D.; Bal, K.; Erzin, Y.; et al. Point mutations at gyrA and gyrB genes of levofloxacin resistant Helicobacter pylori strains and dual resistance with clarithromycin. Clin. Lab. 2021, 67, 10. [Google Scholar] [CrossRef]
  44. Zhang, Y.; Wen, Y.; Xiao, Q.; Zheng, W.; Long, G.; Chen, B.; Shu, X.; Jiang, M. Mutations in the antibiotic target genes related to clarithromycin, metronidazole and levofloxacin resistance in Helicobacter pylori strains from children in China. Infect. Drug Resist. 2020, 13, 311. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Chua, E.-G.; Debowski, A.W.; Webberley, K.M.; Peters, F.; Lamichhane, B.; Loke, M.-F.; Vadivelu, J.; Tay, C.-Y.; Marshall, B.J.; Wise, M.J. Analysis of core protein clusters identifies candidate variable sites conferring metronidazole resistance in Helicobacter pylori. Gastroenterol. Rep. 2019, 7, 42–49. [Google Scholar] [CrossRef] [PubMed]
  46. Solcà, N.M.; Bernasconi, M.V.; Piffaretti, J.-C. Mechanism of metronidazole resistance in Helicobacter pylori: Comparison of the rdxA gene sequences in 30 strains. Antimicrob. Agents Chemother. 2000, 44, 2207–2210. [Google Scholar] [CrossRef] [Green Version]
  47. Mendz, G.L.; Mégraud, F. Is the molecular basis of metronidazole resistance in microaerophilic organisms understood? Trends Microbiol. 2002, 10, 370–375. [Google Scholar] [CrossRef]
  48. Marais, A.; Bilardi, C.; Cantet, F.; Mendz, G.L.; Mégraud, F. Characterization of the genes rdxA and frxA involved in metronidazole resistance in Helicobacter pylori. Res. Microbiol. 2003, 154, 137–144. [Google Scholar] [CrossRef]
  49. Aftab, H.; Miftahussurur, M.; Subsomwong, P.; Ahmed, F.; Khan, A.A.; Yamaoka, Y. Helicobacter pylori antibiotic susceptibility patterns in Bangladesh: Emerging levofloxacin resistance. J. Infect. Dev. Ctries. 2016, 10, 245–253. [Google Scholar] [CrossRef] [Green Version]
  50. Jenks, P.J.; Edwards, D.I. Metronidazole resistance in Helicobacter pylori. Int. J. Antimicrob. Agents 2002, 19, 1–7. [Google Scholar] [CrossRef]
  51. De Palma, G.Z.; Mendiondo, N.; Wonaga, A.; Viola, L.; Ibarra, D.; Campitelli, E.; Salim, N.; Corti, R.; Goldman, C.; Catalano, M. Occurrence of mutations in the antimicrobial target genes related to levofloxacin, clarithromycin, and amoxicillin resistance in Helicobacter pylori isolates from Buenos Aires city. Microb. Drug Resist. 2017, 23, 351–358. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Kim, B.J.; Kim, J.G. Substitutions in penicillin-binding protein 1 in amoxicillin-resistant Helicobacter pylori strains isolated from Korean patients. Gut Liver 2013, 7, 655–660. [Google Scholar] [CrossRef] [Green Version]
  53. Suzuki, R.B.; Lopes, R.A.B.; Lopes, G.A.D.C.; Ho, T.H.; Sperança, M.A. Low Helicobacter pylori primary resistance to clarithromycin in gastric biopsy specimens from dyspeptic patients of a city in the interior of São Paulo, Brazil. BMC Gastroenterol. 2013, 13, 164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Deyi, V.Y.M.; Burette, A.; Bentatou, Z.; Maaroufi, Y.; Bontems, P.; Lepage, P.; Reynders, M. Practical use of GenoType® HelicoDR, a molecular test for Helicobacter pylori detection and susceptibility testing. Diagn. Microbiol. Infect. Dis. 2011, 70, 557–560. [Google Scholar] [CrossRef] [PubMed]
  55. Fauzia, K.A.; Miftahussurur, M.; Syam, A.F.; Waskito, L.A.; Doohan, D.; Rezkitha, Y.A.A.; Matsumoto, T.; Tuan, V.P.; Akada, J.; Yonezawa, H.; et al. Biofilm formation and antibiotic resistance phenotype of Helicobacter pylori clinical isolates. Toxins 2020, 12, 473. [Google Scholar] [CrossRef] [PubMed]
  56. Ierardi, E.; Losurdo, G.; Mileti, A.; Paolillo, R.; Giorgio, F.; Principi, M.; Di Leo, A. The puzzle of coccoid forms of Helicobacter pylori: Beyond basic science. Antibiotics 2020, 9, 293. [Google Scholar] [CrossRef]
Microorganisms 10 00196 g001 550
Figure 1. The five major antibiotic resistance rates of 65 H. pylori isolates from Myanmar. The clinical breakpoints were determined following the European Committee on Antimicrobial Susceptibility Testing (EUCAST; Clinical Breakpoint Table v. 5.0) criteria; MIC of >0.125 mg/L for AMX, >0.5 mg/L for CAM, >8 mg/L for MNZ, >1 mg/L for LVX, and >1 mg/L for TCN.
Figure 1. The five major antibiotic resistance rates of 65 H. pylori isolates from Myanmar. The clinical breakpoints were determined following the European Committee on Antimicrobial Susceptibility Testing (EUCAST; Clinical Breakpoint Table v. 5.0) criteria; MIC of >0.125 mg/L for AMX, >0.5 mg/L for CAM, >8 mg/L for MNZ, >1 mg/L for LVX, and >1 mg/L for TCN.
Microorganisms 10 00196 g001
Microorganisms 10 00196 g002 550
Figure 2. The alignment of 23S rRNA genes by MUSCLE. These region site had been reported to have mutations in the previous study. However, in Myanmar strains, mutation in the locus 2142 or 2147 was not observed.
Figure 2. The alignment of 23S rRNA genes by MUSCLE. These region site had been reported to have mutations in the previous study. However, in Myanmar strains, mutation in the locus 2142 or 2147 was not observed.
Microorganisms 10 00196 g002
Table
Table 1. Distribution of antibiotic resistance based on basic characteristics.
Table 1. Distribution of antibiotic resistance based on basic characteristics.
CharacteristicnSingle Antibiotic Resistance (%)
AMXCAMLVXMNZTCN
Total653 (4.6)5 (7.7)22 (33.8)52 (80.0)0 (0.0)
Sex
Male453 (6.7)4 (8.9)13 (28.9)35 (77.8)0 (0.0)
Female200 (0.0)1 (5.0)9 (45.0)17 (85.0)0 (0.0)
Location
Mawlamyine443 (6.8)3 (6.8)12(27.3)34 (77.3)0 (0.0)
Yangon210 (0.0)2 (9.5)10 (47.6)18 (85.7)0 (0.0)
Ethnicity
Bamer532 ()2 (3.8)17 (32.1)43 (81.1)0 (0.0)
Kayen40 (0.0)1 (25.0)2 (50.0)4 (100)0 (0.0)
Mon51 (.0)2 (40.0)3 (60.0)3 (60.0)0 (0.0)
Others30 (0.0)0 (0.0)0 (0.0)2 (66.7)0 (0.0)
Table
Table 2. Prevalence of resistance toward single and multiple drugs in Myanmar.
Table 2. Prevalence of resistance toward single and multiple drugs in Myanmar.
Susceptibility Test Resultn (%)
Number of strains65
Sensitive8 (12.3)
Single-drug resistance35 (53.8)
AMX0 (0.0)
CAM1 (1.5)
LVX2 (3.1)
MNZ32 (49.2)
TCN0 (0.0)
Double-drug resistance19 (29.2)
AMX + CAM1 (5.3)
AMX + MNZ1 (5.3)
AMX + LVX1 (5.3)
MNZ + LVX16 (84.2)
Triple-drug resistance3 (4.6)
CAM + MNZ + LVX3 (100)
Table
Table 3. Mutations in pbp-1 gene that were associated with AMX-resistance.
Table 3. Mutations in pbp-1 gene that were associated with AMX-resistance.
GeneStrainSensitive (n = 5)MMM3MMM37MMM25
pbp1MIC (mg/L) 20.250.75
Position
45 V/IV/I
414 S/R V/R
465 D-DelD/K
471 V/M
564 N/Y
D: Aspartic acid, I: Isoleucine, K: Lysine, M: Methionine, N: Asparagine, R: Arginine, S: Serine, V: Valine, Y: Tyrosine, Del: Deletion, MMM: bacteria strain.
Table
Table 4. Mutations in 23S rRNA and rpl22 that were associated with CAM-resistance.
Table 4. Mutations in 23S rRNA and rpl22 that were associated with CAM-resistance.
GeneStrainSensitive (n = 5)MMM3MMM43MMM86MMM131MMM149
MIC (mg/L) 0.3816812864
23S rRNAPosition
64 G/A
186 T/C
228 G/A
242 T-Del
243 T-Del
247 A-Ins
248 T/C T/C T/C
425 A/G
513 C/T
559 C/T
763 A/G
822 G/A
1286 A/G
1312 C/T
2219 C/T
2937 G/A
rpl2216 T/C
20 G/A
69 T/CT/C
125 C/T
135 G/A
147 G/T
237 GCG-Ins C/T
267 A/G
A: Alanine, C: Cysteine, G: Glycine, T: Threonine, Del: Deletion, Ins: Insertion, MMM: bacteria strain.
Table
Table 5. Mutations in gyrA and gyrB that were associated with LVX-resistance.
Table 5. Mutations in gyrA and gyrB that were associated with LVX-resistance.
GeneStrainMMM33MMM37MMM43MMM44MMM47MMM54MMM62MMM131MMM135MMM145MMM149
MIC (mg/L)32>32>32>32>32>32>32>32>322>32
gyrAPosition
3 D/GD/G
20
91D/N D/N D/ND/GD/YD/ND/N
172 V/I
208 G/E G/R G/E
210 D/N
230 K/Q
234 I/V
246 V/M
285
407A/V A/VA/V
497 D/E
517 V/M
524 A/V A/V
557 I/T
612 R/C
635 R/K
661 A/T
668 T/A
684 I/M I/M I/M
688 T/AT/A
703 V/I
709 S/N S/N S/N
712G/S G/S G/S
735
760 D/M
Truncated 1-285 1-735
gyrB64 E/G
160 S/N
215 T/A
230 A/T
240 S/A
479 S/G
573 N/G
584A/V
614 V/IV/I
620 L/S
676 M/V
679N/H
Truncated 1-1476 1-1476
A: Alanine, C: Cysteine, D: Aspartic acid, E: Glutamic acid, G: Glycine, H: Histidine, I: Isoleucine, K: Lysine, L: Leucine, M: Methionine, N: Asparagine, Q: Glutamine, R: Arginine, S: Serine, T: Threonine, V: Valine, Y: Tyrosine, MMM: bacteria strain.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Subsomwong, P.; Doohan, D.; Fauzia, K.A.; Akada, J.; Matsumoto, T.; Yee, T.T.; Htet, K.; Waskito, L.A.; Tuan, V.P.; Uchida, T.; et al. Next-Generation Sequencing-Based Study of Helicobacter pylori Isolates from Myanmar and Their Susceptibility to Antibiotics. Microorganisms 2022, 10, 196. https://doi.org/10.3390/microorganisms10010196

AMA Style

Subsomwong P, Doohan D, Fauzia KA, Akada J, Matsumoto T, Yee TT, Htet K, Waskito LA, Tuan VP, Uchida T, et al. Next-Generation Sequencing-Based Study of Helicobacter pylori Isolates from Myanmar and Their Susceptibility to Antibiotics. Microorganisms. 2022; 10(1):196. https://doi.org/10.3390/microorganisms10010196

Chicago/Turabian Style

Subsomwong, Phawinee, Dalla Doohan, Kartika Afrida Fauzia, Junko Akada, Takashi Matsumoto, Than Than Yee, Kyaw Htet, Langgeng Agung Waskito, Vo Phuoc Tuan, Tomohisa Uchida, and et al. 2022. "Next-Generation Sequencing-Based Study of Helicobacter pylori Isolates from Myanmar and Their Susceptibility to Antibiotics" Microorganisms 10, no. 1: 196. https://doi.org/10.3390/microorganisms10010196

APA Style

Subsomwong, P., Doohan, D., Fauzia, K. A., Akada, J., Matsumoto, T., Yee, T. T., Htet, K., Waskito, L. A., Tuan, V. P., Uchida, T., Matsuhisa, T., & Yamaoka, Y. (2022). Next-Generation Sequencing-Based Study of Helicobacter pylori Isolates from Myanmar and Their Susceptibility to Antibiotics. Microorganisms, 10(1), 196. https://doi.org/10.3390/microorganisms10010196

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop