Valine potentiates cefoperazone-sulbactam to kill methicillin-resistant Staphylococcus aureus.

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-01-21 Epub Date: 2024-12-18 DOI:10.1128/msystems.01244-24
Shao-Hua Li, Yuan Tao, Zhi-Cheng Yang, Huan-Zhe Fu, Hui-Yin Lin, Xuan-Xian Peng, Hui Li
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引用次数: 0

Abstract

Metabolic state-reprogramming approach was extended from Gram-negative bacteria to Gram-positive bacterium methicillin-resistant Staphylococcus aureus (MRSA) for identifying desired reprogramming metabolites to synergize existing antibiotic killing to MRSA. Metabolomics comparison between MRSA and methicillin-sensitive Staphylococcus aureus showed a depressed metabolic state in MRSA. Valine was identified as the most depressed metabolite/biomarker, and valine, leucine and isoleucine biosynthesis as the most enriched metabolic pathway. Thus, valine was used as a reprogramming metabolite to potentiate existing antibiotic killing to MRSA. Among the tested antibiotics, valine synergized cefoperazone-sulbactam (SCF) to produce the greatest killing effect. The combined effect of SCF and valine was demonstrated in clinical MRSA isolates and in mouse systemic and thigh infection models. Underlying mechanisms were attributed to valine-induced the activation of the pyruvate cycle/the TCA cycle and fatty acid biosynthesis. The activated pyruvate cycle/the TCA cycle elevated proton motive force by NADH and the activated fatty acid biosynthesis promoted membrane permeability by lauric acid. Both together increased cefoperazone uptake, which outpaces efflux action and thereby intracellular drug is elevated to effectively kill MRSA. These results provide the combination of valine and SCF to produce a new drug candidate effective against MRSA.

Importance: Methicillin-resistant Staphylococcus aureus (MRSA) is possibly the most infamous example of antibiotic resistance and new antibiotics are urgently needed to control it. The present study used metabolic state-reprogramming approach to identify an ideal biomarker as an antibiotic adjuvant for reversing the metabolic state of MRSA. The most repressed valine was identified as the adjuvant. Exogenous valine most effectively potentiated cefoperazone-sulbactam (SCF) to kill MRSA in vitro and in vivo. Viability of 18 clinical MRSA isolates was reduced by the top 276.64-fold in the presence of valine and SCF. In mouse models, lower bacterial load in liver, spleen, kidney, thigh, and higher survival were determined in the SCF + valine than valine or SCF alone. Valine promoted MRSA to increase SCF uptake that overcomes the efflux and enzymatic hydrolysis. It also extended the PAE of SCF. These occur because valine activates the pyruvate cycle to elevate proton motive force by NADH and increases membrane permeability by lauric acid. Therefore, the combination of valine and SCF is a new drug candidate effective against MRSA.

缬氨酸能增强头孢哌酮-舒巴坦杀灭耐甲氧西林金黄色葡萄球菌的能力。
将代谢状态重编程方法从革兰氏阴性细菌扩展到革兰氏阳性细菌耐甲氧西林金黄色葡萄球菌(MRSA),以确定所需的重编程代谢物,以协同现有抗生素对MRSA的杀伤。MRSA与甲氧西林敏感金黄色葡萄球菌的代谢组学比较显示,MRSA的代谢状态受到抑制。缬氨酸被认为是最受抑制的代谢物/生物标志物,缬氨酸、亮氨酸和异亮氨酸的生物合成是最富集的代谢途径。因此,缬氨酸被用作重编程代谢物,以增强现有抗生素对MRSA的杀伤作用。缬氨酸与头孢哌酮舒巴坦(SCF)的协同杀伤效果最好。SCF和缬氨酸的联合作用在MRSA临床分离株和小鼠全身和大腿感染模型中得到证实。潜在的机制归因于缬氨酸诱导的丙酮酸循环/ TCA循环和脂肪酸生物合成的激活。活化的丙酮酸循环/ TCA循环通过NADH提高了质子动力,活化的脂肪酸生物合成促进了月桂酸对膜的通透性。两者共同增加了头孢哌酮的摄取,其速度超过了外排作用,因此细胞内药物被提高以有效杀死MRSA。这些结果提供了缬氨酸和SCF的组合,以产生一种新的候选药物有效对抗MRSA。重要性:耐甲氧西林金黄色葡萄球菌(MRSA)可能是抗生素耐药性最臭名昭著的例子,迫切需要新的抗生素来控制它。本研究使用代谢状态重编程方法来确定理想的生物标志物作为逆转MRSA代谢状态的抗生素佐剂。最受抑制的缬氨酸被确定为佐剂。在体外和体内,外源性缬氨酸最有效地增强了头孢哌酮舒巴坦(SCF)杀死MRSA的能力。在缬氨酸和SCF存在的情况下,18株临床MRSA分离株的生存力降低了276.64倍。在小鼠模型中,与缬氨酸或单用SCF相比,SCF +缬氨酸组肝脏、脾脏、肾脏和大腿的细菌负荷更低,存活率更高。缬氨酸促进MRSA增加SCF摄取,克服外排和酶解。它还扩展了SCF的PAE。这是因为缬氨酸激活丙酮酸循环,通过NADH提高质子动力,并通过月桂酸增加膜通透性。因此,缬氨酸与SCF联合是一种有效对抗MRSA的新型候选药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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