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Characterization of genotypes and antimicrobial resistance profiles of clinical isolates of Shigella from patients in the southern region of Iran
Shigella spp., which are facultative anaerobic bacilli within the Enterobacteriaceae family, present a significant public health burden due to their role as prominent contributors to diarrheal diseases worldwide. A molecular analysis can facilitate the identification and assessment of outbreaks invo...
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Published in: | European journal of medical research 2023-12, Vol.28 (1), p.611-611, Article 611 |
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description | Shigella spp., which are facultative anaerobic bacilli within the Enterobacteriaceae family, present a significant public health burden due to their role as prominent contributors to diarrheal diseases worldwide. A molecular analysis can facilitate the identification and assessment of outbreaks involving this bacterium. So, we aimed to investigate the antibiotic susceptibility pattern and clonal relatedness of clinical Shigella spp. isolates obtained from patients with diarrhea in Hormozgan province, South of Iran.
From 2019 to 2021, a cross-sectional investigation was conducted on 448 stool samples obtained from patients who were experiencing diarrhea, in the southern region of Iran. Shigella spp. isolates were identified based on biochemical and serological tests. All Shigella species were verified using species-specific polymerase chain reaction (PCR), followed by susceptibility testing to antimicrobial agents. Subsequently, genotyping of all Shigella species was conducted using ERIC-PCR.
Out of a total of 448 stool samples, the presence of Shigella was detected in 62 cases, accounting for a prevalence rate of 13.84%. Among the identified isolates, the majority were attributed to S. flexneri, representing 53.23% of the cases. This was followed by S. sonnei at 24.19% and S. boydii at 22.58%. Notably, no instances of S. dysenteriae were found. The highest prevalence of Shigella isolates was observed in infants and children under the age of five. A significant proportion of the identified isolates demonstrated resistance to various antibiotics. Specifically, high resistance rates were noted for ampicillin (90.78%), piperacillin-tazobactam (87.1%), cefixime (83.87%), trimethoprim-sulfamethoxazole (83.87%), cefotaxime (82.26%), and ceftriaxone (80.65%). In addition, a substantial number (87.1%) of the isolates exhibited a multidrug-resistant (MDR) phenotype. Using the ERIC-PCR method, a total of 11 clusters and 6 distinct single types were identified among all the Shigella isolates.
A notable occurrence of antibiotic-resistant Shigella species has been noted, with multi-drug resistant (MDR) strains presenting an increasing challenge for treating shigellosis worldwide, and this includes Iran. Techniques such as ERIC-PCR are useful for assessing the genetic variation and connections between Shigella strains, which indirectly contributes to understanding antimicrobial resistance patterns. Further research is needed to explore the specific correlation between re |
doi_str_mv | 10.1186/s40001-023-01570-0 |
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From 2019 to 2021, a cross-sectional investigation was conducted on 448 stool samples obtained from patients who were experiencing diarrhea, in the southern region of Iran. Shigella spp. isolates were identified based on biochemical and serological tests. All Shigella species were verified using species-specific polymerase chain reaction (PCR), followed by susceptibility testing to antimicrobial agents. Subsequently, genotyping of all Shigella species was conducted using ERIC-PCR.
Out of a total of 448 stool samples, the presence of Shigella was detected in 62 cases, accounting for a prevalence rate of 13.84%. Among the identified isolates, the majority were attributed to S. flexneri, representing 53.23% of the cases. This was followed by S. sonnei at 24.19% and S. boydii at 22.58%. Notably, no instances of S. dysenteriae were found. The highest prevalence of Shigella isolates was observed in infants and children under the age of five. A significant proportion of the identified isolates demonstrated resistance to various antibiotics. Specifically, high resistance rates were noted for ampicillin (90.78%), piperacillin-tazobactam (87.1%), cefixime (83.87%), trimethoprim-sulfamethoxazole (83.87%), cefotaxime (82.26%), and ceftriaxone (80.65%). In addition, a substantial number (87.1%) of the isolates exhibited a multidrug-resistant (MDR) phenotype. Using the ERIC-PCR method, a total of 11 clusters and 6 distinct single types were identified among all the Shigella isolates.
A notable occurrence of antibiotic-resistant Shigella species has been noted, with multi-drug resistant (MDR) strains presenting an increasing challenge for treating shigellosis worldwide, and this includes Iran. Techniques such as ERIC-PCR are useful for assessing the genetic variation and connections between Shigella strains, which indirectly contributes to understanding antimicrobial resistance patterns. Further research is needed to explore the specific correlation between resistance genes and ERIC genotyping patterns in Shigella strains.</description><identifier>ISSN: 2047-783X</identifier><identifier>ISSN: 0949-2321</identifier><identifier>EISSN: 2047-783X</identifier><identifier>DOI: 10.1186/s40001-023-01570-0</identifier><identifier>PMID: 38115112</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Ampicillin ; Antibiotic resistance ; Antibiotics ; Antimicrobial agents ; Bacterial infections ; Diarrhea ; Drug dosages ; Drug resistance ; Drug resistance in microorganisms ; Epidemiology ; ERIC-PCR ; Genetic aspects ; Genetic diversity ; Hospitals ; Pathogens ; Public health ; Salmonella ; Shigella species ; Shigellosis ; Systematic review ; Tazobactam</subject><ispartof>European journal of medical research, 2023-12, Vol.28 (1), p.611-611, Article 611</ispartof><rights>2023. The Author(s).</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c595t-1a403ca01972a4801daaf1c9f5893b6ca2fd49e6c3182d7de9d56becf966876d3</citedby><cites>FETCH-LOGICAL-c595t-1a403ca01972a4801daaf1c9f5893b6ca2fd49e6c3182d7de9d56becf966876d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10731726/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2914303585?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38115112$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shoja, Saeed</creatorcontrib><creatorcontrib>Ghasemi, Saba</creatorcontrib><creatorcontrib>Dastranj, Mahsa</creatorcontrib><creatorcontrib>Shamseddin, Jebreil</creatorcontrib><creatorcontrib>Ebrahimi, Nasim</creatorcontrib><creatorcontrib>Alizade, Hesam</creatorcontrib><creatorcontrib>Farahani, Abbas</creatorcontrib><title>Characterization of genotypes and antimicrobial resistance profiles of clinical isolates of Shigella from patients in the southern region of Iran</title><title>European journal of medical research</title><addtitle>Eur J Med Res</addtitle><description>Shigella spp., which are facultative anaerobic bacilli within the Enterobacteriaceae family, present a significant public health burden due to their role as prominent contributors to diarrheal diseases worldwide. A molecular analysis can facilitate the identification and assessment of outbreaks involving this bacterium. So, we aimed to investigate the antibiotic susceptibility pattern and clonal relatedness of clinical Shigella spp. isolates obtained from patients with diarrhea in Hormozgan province, South of Iran.
From 2019 to 2021, a cross-sectional investigation was conducted on 448 stool samples obtained from patients who were experiencing diarrhea, in the southern region of Iran. Shigella spp. isolates were identified based on biochemical and serological tests. All Shigella species were verified using species-specific polymerase chain reaction (PCR), followed by susceptibility testing to antimicrobial agents. Subsequently, genotyping of all Shigella species was conducted using ERIC-PCR.
Out of a total of 448 stool samples, the presence of Shigella was detected in 62 cases, accounting for a prevalence rate of 13.84%. Among the identified isolates, the majority were attributed to S. flexneri, representing 53.23% of the cases. This was followed by S. sonnei at 24.19% and S. boydii at 22.58%. Notably, no instances of S. dysenteriae were found. The highest prevalence of Shigella isolates was observed in infants and children under the age of five. A significant proportion of the identified isolates demonstrated resistance to various antibiotics. Specifically, high resistance rates were noted for ampicillin (90.78%), piperacillin-tazobactam (87.1%), cefixime (83.87%), trimethoprim-sulfamethoxazole (83.87%), cefotaxime (82.26%), and ceftriaxone (80.65%). In addition, a substantial number (87.1%) of the isolates exhibited a multidrug-resistant (MDR) phenotype. Using the ERIC-PCR method, a total of 11 clusters and 6 distinct single types were identified among all the Shigella isolates.
A notable occurrence of antibiotic-resistant Shigella species has been noted, with multi-drug resistant (MDR) strains presenting an increasing challenge for treating shigellosis worldwide, and this includes Iran. Techniques such as ERIC-PCR are useful for assessing the genetic variation and connections between Shigella strains, which indirectly contributes to understanding antimicrobial resistance patterns. Further research is needed to explore the specific correlation between resistance genes and ERIC genotyping patterns in Shigella strains.</description><subject>Ampicillin</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Bacterial infections</subject><subject>Diarrhea</subject><subject>Drug dosages</subject><subject>Drug resistance</subject><subject>Drug resistance in microorganisms</subject><subject>Epidemiology</subject><subject>ERIC-PCR</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Hospitals</subject><subject>Pathogens</subject><subject>Public health</subject><subject>Salmonella</subject><subject>Shigella species</subject><subject>Shigellosis</subject><subject>Systematic review</subject><subject>Tazobactam</subject><issn>2047-783X</issn><issn>0949-2321</issn><issn>2047-783X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2L1DAUhoso7rLuH_BCCoJ40zUfbdJeyTL4MbDghQrehdMkbTN0kjFJhfVf-I89szOuOyIhJCTP-4ac8xbFc0quKG3Fm1QTQmhFGK8IbSSpyKPinJFaVrLl3x4_2J8VlyltkCaCCdl1T4sz3lLaUMrOi1-rCSLobKP7CdkFX4ahHK0P-XZnUwne4Mxu63QMvYO5jDa5lMFrW-5iGNyMFEr07LzTeO9SmCEfDj9PbrTzDOUQw7bcob_1OZXOl3myZQoLLtGj5Xh8eB3BPyueDDAne3lcL4qv7999WX2sbj59WK-ubyrddE2uKNSEayC0kwzqllADMFDdDU3b8V5oYIOpOys0py0z0tjONKK3euiEaKUw_KJYH3xNgI3aRbeFeKsCOHV3EOKoIGanZ6taIxtR98IYpuum7oEPmraGc2J6IvoWvd4evHZLv7VG4zcjzCempzfeTWoMPxQlklPJBDq8PjrE8H2xKautS3pfPG_DkhTrSE0bwViH6Mt_0E1YosdaIUVrTnjTNn-pEfAHzg8BH9Z7U3UtJeaA1Q1D6uo_FA5jseXB232DTwWvHggmC3OesOPLPjrpFGQHEIOTUrTDfTUoUfsEq0OCFSZY3SVYERS9eFjHe8mfvPLfWortFg</recordid><startdate>20231219</startdate><enddate>20231219</enddate><creator>Shoja, Saeed</creator><creator>Ghasemi, Saba</creator><creator>Dastranj, Mahsa</creator><creator>Shamseddin, Jebreil</creator><creator>Ebrahimi, Nasim</creator><creator>Alizade, Hesam</creator><creator>Farahani, Abbas</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20231219</creationdate><title>Characterization of genotypes and antimicrobial resistance profiles of clinical isolates of Shigella from patients in the southern region of Iran</title><author>Shoja, Saeed ; 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A molecular analysis can facilitate the identification and assessment of outbreaks involving this bacterium. So, we aimed to investigate the antibiotic susceptibility pattern and clonal relatedness of clinical Shigella spp. isolates obtained from patients with diarrhea in Hormozgan province, South of Iran.
From 2019 to 2021, a cross-sectional investigation was conducted on 448 stool samples obtained from patients who were experiencing diarrhea, in the southern region of Iran. Shigella spp. isolates were identified based on biochemical and serological tests. All Shigella species were verified using species-specific polymerase chain reaction (PCR), followed by susceptibility testing to antimicrobial agents. Subsequently, genotyping of all Shigella species was conducted using ERIC-PCR.
Out of a total of 448 stool samples, the presence of Shigella was detected in 62 cases, accounting for a prevalence rate of 13.84%. Among the identified isolates, the majority were attributed to S. flexneri, representing 53.23% of the cases. This was followed by S. sonnei at 24.19% and S. boydii at 22.58%. Notably, no instances of S. dysenteriae were found. The highest prevalence of Shigella isolates was observed in infants and children under the age of five. A significant proportion of the identified isolates demonstrated resistance to various antibiotics. Specifically, high resistance rates were noted for ampicillin (90.78%), piperacillin-tazobactam (87.1%), cefixime (83.87%), trimethoprim-sulfamethoxazole (83.87%), cefotaxime (82.26%), and ceftriaxone (80.65%). In addition, a substantial number (87.1%) of the isolates exhibited a multidrug-resistant (MDR) phenotype. Using the ERIC-PCR method, a total of 11 clusters and 6 distinct single types were identified among all the Shigella isolates.
A notable occurrence of antibiotic-resistant Shigella species has been noted, with multi-drug resistant (MDR) strains presenting an increasing challenge for treating shigellosis worldwide, and this includes Iran. Techniques such as ERIC-PCR are useful for assessing the genetic variation and connections between Shigella strains, which indirectly contributes to understanding antimicrobial resistance patterns. Further research is needed to explore the specific correlation between resistance genes and ERIC genotyping patterns in Shigella strains.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38115112</pmid><doi>10.1186/s40001-023-01570-0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Ampicillin Antibiotic resistance Antibiotics Antimicrobial agents Bacterial infections Diarrhea Drug dosages Drug resistance Drug resistance in microorganisms Epidemiology ERIC-PCR Genetic aspects Genetic diversity Hospitals Pathogens Public health Salmonella Shigella species Shigellosis Systematic review Tazobactam |
title | Characterization of genotypes and antimicrobial resistance profiles of clinical isolates of Shigella from patients in the southern region of Iran |
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