{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T02:20:23Z","timestamp":1789698023112,"version":"4.0.1"},"reference-count":30,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2017,8,16]],"date-time":"2017-08-16T00:00:00Z","timestamp":1502841600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006686","name":"University of Miami","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006686","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Microbial Biotechnology"],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>\n                    It is known that changes in bacterial metabolism can contribute to the modulation of bacterial susceptibility to antibiotics. Understanding how bacterial metabolism is impacted by antibiotics may improve our understanding of the antibiotic mechanism of actions from a metabolic perspective. Here, we utilized a mass spectrometry\u2010based targeted metabolic profiling technique to characterize the metabolome of a pair of isogenic methicillin\u2010susceptible and resistant\n                    <jats:italic>Staphylococcus aureus<\/jats:italic>\n                    (\n                    <jats:styled-content style=\"fixed-case\">MSSA<\/jats:styled-content>\n                    and\n                    <jats:styled-content style=\"fixed-case\">MRSA<\/jats:styled-content>\n                    ) strains\n                    <jats:styled-content style=\"fixed-case\">RN<\/jats:styled-content>\n                    450 and 450M treated with the sublethal dose of three antibiotics from different classes (\u03b2\u2010lactams, aminoglycosides and quinolones). These treatments induced a set of metabolic alterations after 6\u00a0h of co\u2010incubation with antibiotics. Similar and divergent metabolic perturbations were observed from different antibiotics to the tested strains. Different metabolic response from\n                    <jats:styled-content style=\"fixed-case\">MSSA<\/jats:styled-content>\n                    and\n                    <jats:styled-content style=\"fixed-case\">MRSA<\/jats:styled-content>\n                    to the same antibiotics was also detected in the study and indicated the potentially different stress response mechanism in\n                    <jats:styled-content style=\"fixed-case\">MSSA<\/jats:styled-content>\n                    and\n                    <jats:styled-content style=\"fixed-case\">MRSA<\/jats:styled-content>\n                    metabolism. This work has shown that a complex set of metabolic changes can be induced by a variety of antibiotics, and the comparative metabolomics strategy can provide a good understanding of this process from a metabolic perspective.\n                  <\/jats:p>","DOI":"10.1111\/1751-7915.12839","type":"journal-article","created":{"date-parts":[[2017,8,17]],"date-time":"2017-08-17T03:25:15Z","timestamp":1502940315000},"page":"1764-1774","source":"Crossref","is-referenced-by-count":60,"title":["Comparative metabolomics revealing\n                    <i>Staphylococcus aureus<\/i>\n                    metabolic response to different antibiotics"],"prefix":"10.1111","volume":"10","author":[{"given":"Katie","family":"Schelli","sequence":"first","affiliation":[{"name":"Department of Chemistry and Biochemistry Miami University 651 E High St. Oxford OH 45056 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanyi","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Chemistry and Biochemistry Miami University 651 E High St. Oxford OH 45056 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangjiang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Chemistry and Biochemistry Miami University 651 E High St. Oxford OH 45056 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,8,16]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/gm333"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.5b00697"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2015.09.059"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro3380"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2458"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygyno.2015.10.021"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-016-1154-y"},{"key":"e_1_2_7_9_1","volume-title":"2013 Antibiotic Resistance Threats in the United States","author":"CDC","year":"2013"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1128\/MMBR.00016-10"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.analchem.6b00885"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1128\/AAC.03104-14"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1401876111"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-pharmtox-010814-124712"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.analchem.5b03812"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/anie.201609236"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12866-016-0696-5"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro2333"},{"key":"e_1_2_7_19_1","unstructured":"Munck C.(2014)Antibiotic Resistance Adaptive Evolution & Dissemination of Resistance Genes. 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