抗生素对细菌粘附的影响

抗生素能改变细菌表面性状;电镜观察显示,抗生素存在时细菌的某些超微结构会出现一些变化。某些抗生素能干扰细菌表面结构组分的代谢及功能,另一些抗生素则能破坏细菌表面结构。不论抗生素以何种机制发挥作用,由于细菌表面生化特征的变化,细菌与宿主细胞间     

地衣芽胞杆菌（CMCC63519）及代谢产物对部分细菌的抑菌作用

本文通过两个试验,证实了地衣芽杆菌的代谢产物对某些细菌有类似抗生素样作用。抑菌作用与代谢产物有关。     

细菌药物耐受

细菌药物耐受(Drug tolerance)是指在没有发生耐药突变的情况下细菌耐受抗生素杀菌的能力,表现为细菌群体难以或不能被杀菌型药物清除。细菌药物耐受的调控机制包括群体异质性和压力应答两种途径。药物耐受性的本质是细菌通过调控或遗传突变的方式改变生理代谢状态,从而抵制药物引起的细胞死亡途径。比如,处于缓慢生长或生长停滞生理状态的细菌往往能够抵抗药物的杀菌作用。临床研究发现细菌药物耐受是导致持续性感染疾病迁延难愈、复发率高的病原学机制之一。同时,研究证明耐受性的形成是细菌耐药性(Drug resistance)产生的进化途径之一。因此,揭示细菌药物耐受的机制将有助于人们深入了解抗生素的杀菌机理,以及细菌耐药性形成的适应性进化机制,并为新型杀菌药物以及药物增效剂靶标的发现和抗生素合理使用策略的开发奠定理论基础。     

地衣芽胞杆菌（CMCC6S519）及代谢产物对部分细菌的抑菌作用

本文通过两个试验,证实了地衣芽胞杆菌、（ＣＭＣＣｂ３５１９）的代谢产物对某些细菌有类似抗生素样作用。抑菌作用与代谢产物有关。     

外源化学物质对副溶血性弧菌药物敏感性的影响

【目的】细菌对抗生素的耐药性已成为全球公共卫生问题关注的热点。有研究表明外源添加化学物质可以增强耐药细菌对抗生素的敏感性。本研究比较了3种化学物质葡萄糖、丙氨酸、甘油对增强副溶血性弧菌抗生素敏感性的作用效果。【方法】在亚抑菌浓度抗生素胁迫条件下,通过比较副溶血性弧菌在添加终浓度为10 mmol/L葡萄糖、丙氨酸、甘油后细菌存活率随时间的变化水平,来观察弧菌对亚抑菌浓度抗生素敏感性作用效果的改变,并采用氧化磷酸化解偶联剂CCCP对实验结果进行验证。【结果】发现3种外源化学物质均能增强亚抑菌浓度氨基糖苷类抗生素对副溶血性弧菌的杀菌能力,其中外源添加葡萄糖对增强亚抑菌浓度卡那霉素的杀菌能力最为显著,而对其他种类抗生素的杀菌能力则无明显增强作用。加入氧化磷酸化解偶联剂CCCP后可消除由外源化学物质引发的弧菌抗生素敏感性作用增强的现象。【结论】通过调节细菌细胞代谢水平可提高耐药副溶血性弧菌对氨基糖苷类抗生素的敏感性,对多重耐药副溶血性弧菌的防控具有一定的实际应用价值。     

(p)ppGpp——“魔斑”核苷酸在细菌中的研究进展

鸟苷四磷酸（guanosine tetraphosphate,ppGpp）/鸟苷五磷酸（guanosine pentaphosphate,pppGpp）是细菌严谨反应的信号分子,其合成和水解由Rel/SpoT同系物（RelA/SpoT homologue,RSH）家族的蛋白质合成和水解活性控制。（p）ppGpp介导的严谨反应能够提高细菌对营养匮乏的适应能力和抗生素抗性。近年来发现（p）ppGpp与细菌生长和细胞分裂、抗生素合成等都密切相关,是细胞内重要的全局调控因子。（p）ppGpp在细菌细胞中有许多靶点,使其可以调节DNA复制、转录、细胞周期、核糖体生物合成以及抗生素合成基因簇的表达。然而,（p）ppGpp如何控制转录和其他代谢过程取决于细菌种类,并在不同的微生物中通过不同的机制调节相同的过程。因此,本文通过综述（p）ppGpp的合成/水解酶的种类和调节机制,（p）ppGpp对微生物代谢调控机制、对细胞周期的影响机制,以及（p）ppGpp对抗生素合成和耐受性的调控机制,为细菌耐药性研究和细胞生理学研究奠定基础。     

细菌挥发性代谢产物的类型、检测技术及应用

细菌挥发性代谢产物是细菌代谢产物的重要组成部分,与细菌生命活动和细菌生长数量密切关联,是细菌与周围各种生物进行交流的重要信息物质。细菌挥发性代谢产物类型和特征表现复杂,其浓度低、种类多,从极性到非极性跨度大,需要依赖特殊检测技术进行分析测定。归纳了常见细菌挥发性代谢产物的类型,介绍了气相色谱-质谱和电子鼻两种检测挥发性有机化合物的方法,例举了细菌挥发性代谢产物检测在医学和食品科学研究领域的应用,并提出了细菌挥发性代谢产物检测研究中的几个关键问题。     

细菌代谢类型的特点

细菌代谢类型的特点钱留华（江苏省泰兴中学２２５４００）细菌的代谢类型之多，代谢能力之强，分布范围之广，是其它类生物所不及的。１各种代谢类型俱全１．１异养需氧型这类苗是细菌大家族中的主要成员，种类和数量最多，如枯草杆菌（Ｂａｃｉｌｌｕｓｓｕｂｔｉｌｉｓ...     

枸骨益生菌的筛选及其抑菌作用

采用涂布平板法分离药用植物枸骨可培养内生细菌,采用对峙法和发酵滤液培养法筛选对植物病原菌具高抑制作用的菌株,通过镜检和显微摄影观察处理组菌丝的变化,对16SrDNA PCR产物进行测序和同源性分析菌株的系统发育关系,通过形态、生理生化特征和16SrDNA序列比对确定菌株的分类地位.从枸骨健康植株的根、茎、叶及果实中分离得到85株内生细菌,筛选出对烟草赤星病菌、稻瘟病菌、棉花枯萎病菌等有较强抑菌作用的10株菌,初步鉴定为4属7种.其中,抑菌效果最强的GG78(60.3％)、GG31 (48.1％)、GG3(61.0％)分别属于阴沟肠杆菌、路德维希肠杆菌和蜡样芽孢杆菌.受抑制病原菌菌丝均发生畸形、扭曲,局部膨大形成原生质浓缩球、菌丝基部出现毛发状细分支等现象,可能与内生菌分泌到胞外具有一定抑菌或杀菌作用的代谢物质如抗生素、水解酶类、生物碱等有关.     

Metabolic regulation of antibiotic resistance

It is generally assumed that antibiotics and resistance determinants are the task forces of a biological warfare in which each resistance determinant counteracts the activity of a specific antibiotic. According to this view, antibiotic resistance might be considered as a specific response to an injury, not necessarily linked to bacterial metabolism, except for the burden that the acquisition of resistance might impose on the bacteria (fitness costs). Nevertheless, it is known that changes in bacterial metabolism, such as those associated with dormancy or biofilm formation, modulate bacterial susceptibility to antibiotics (phenotypic resistance), indicating that there exists a linkage between bacterial metabolism and antibiotic resistance. The analyses of the intrinsic resistomes of bacterial pathogens also demonstrate that the building up of intrinsic resistance requires the concerted action of many elements, several of which play a relevant role in the bacterial metabolism. In this article, we will review the current knowledge on the linkage between bacterial metabolism and antibiotic resistance and will discuss the role of global metabolic regulators such as Crc in bacterial susceptibility to antibiotics. Given that growing into the human host requires a metabolic adaptation, we will discuss whether this adaptation might trigger resistance even in the absence of selective pressure by antibiotics.     

Growth-dependent bacterial susceptibility to ribosome-targeting antibiotics

Bacterial growth environment strongly influences the efficacy of antibiotic treatment, with slow growth often being associated with decreased susceptibility. Yet in many cases, the connection between antibiotic susceptibility and pathogen physiology remains unclear. We show that for ribosome-targeting antibiotics acting on Escherichia coli, a complex interplay exists between physiology and antibiotic action; for some antibiotics within this class, faster growth indeed increases susceptibility, but for other antibiotics, the opposite is true. Remarkably, these observations can be explained by a simple mathematical model that combines drug transport and binding with physiological constraints. Our model reveals that growth-dependent susceptibility is controlled by a single parameter characterizing the ‘reversibility’ of ribosome-targeting antibiotic transport and binding. This parameter provides a spectrum classification of antibiotic growth-dependent efficacy that appears to correspond at its extremes to existing binary classification schemes. In these limits, the model predicts universal, parameter-free limiting forms for growth inhibition curves. The model also leads to non-trivial predictions for the drug susceptibility of a translation mutant strain of E. coli, which we verify experimentally. Drug action and bacterial metabolism are mechanistically complex; nevertheless, this study illustrates how coarse-grained models can be used to integrate pathogen physiology into drug design and treatment strategies.     

A global view of antibiotic resistance

Antibiotic resistance is one of the few examples of evolution that can be addressed experimentally. The present review analyses this resistance, focusing on the networks that regulate its acquisition and its effect on bacterial physiology. It is widely accepted that antibiotics and antibiotic resistance genes play fundamental ecological roles – as weapons and shields, respectively – in shaping the structures of microbial communities. Although this Darwinian view of the role of antibiotics is still valid, recent work indicates that antibiotics and resistance mechanisms may play other ecological roles and strongly influence bacterial physiology. The expression of antibiotic resistance determinants must therefore be tightly regulated and their activity forms part of global metabolic networks. In addition, certain bacterial modes of life can trigger transient phenotypic antibiotic resistance under some circumstances. Understanding resistance thus requires the analysis of the regulatory networks controlling bacterial evolvability, the physiological webs affected and the metabolic rewiring it incurs.     

Meta分析在细菌耐药性研究中的应用与展望

随着抗生素的大量不规范使用,细菌耐药性不断增强,导致耐药及多重耐药细菌的出现,严重威胁着人类健康。运用统计学方法对耐药性相关研究进行汇总与多元分析,有助于更好地了解全球细菌耐药性的流行与分布,明晰细菌耐药性形成规律与机制的共性问题。Meta分析是一种将多个同类型研究进行综合分析的统计学方法,已广泛应用于细菌耐药性的研究。本文简要描述了Meta分析的起源及基本流程,并采用文献计量的方法对2000-2020年关于Meta分析在细菌耐药性研究中的应用进行系统综述;进一步总结并阐述了Meta分析在细菌耐药性领域应用的成功案例和结论,而且对Meta分析方法在细菌耐药性领域中的进一步研究进行了展望,以期推动该方法在细菌耐药性研究中的应用,为耐药性问题的系统阐释和有效控制提供可靠的工具。     

Metabolic constraints on the evolution of antibiotic resistance

Despite our continuous improvement in understanding antibiotic resistance, the interplay between natural selection of resistance mutations and the environment remains unclear. To investigate the role of bacterial metabolism in constraining the evolution of antibiotic resistance, we evolved Escherichia coli growing on glycolytic or gluconeogenic carbon sources to the selective pressure of three different antibiotics. Profiling more than 500 intracellular and extracellular putative metabolites in 190 evolved populations revealed that carbon and energy metabolism strongly constrained the evolutionary trajectories, both in terms of speed and mode of resistance acquisition. To interpret and explore the space of metabolome changes, we developed a novel constraint‐based modeling approach using the concept of shadow prices. This analysis, together with genome resequencing of resistant populations, identified condition‐dependent compensatory mechanisms of antibiotic resistance, such as the shift from respiratory to fermentative metabolism of glucose upon overexpression of efflux pumps. Moreover, metabolome‐based predictions revealed emerging weaknesses in resistant strains, such as the hypersensitivity to fosfomycin of ampicillin‐resistant strains. Overall, resolving metabolic adaptation throughout antibiotic‐driven evolutionary trajectories opens new perspectives in the fight against emerging antibiotic resistance.     

The global regulator Crc modulates metabolism,susceptibility to antibiotics and virulence in Pseudomonas aeruginosa

The capacity of a bacterial pathogen to produce a disease in a treated host depends on the former's virulence and resistance to antibiotics. Several scattered pieces of evidence suggest that these two characteristics can be influenced by bacterial metabolism. This potential relationship is particularly important upon infection of a host, a situation that demands bacteria adapt their physiology to their new environment, making use of newly available nutrients. To explore the potential cross‐talk between bacterial metabolism, antibiotic resistance and virulence, a Pseudomonas aeruginosa model was used. This species is an important opportunistic pathogen intrinsically resistant to many antibiotics. The role of Crc, a global regulator that controls the metabolism of carbon sources and catabolite repression in Pseudomonas, was analysed to determine its contribution to the intrinsic antibiotic resistance and virulence of P. aeruginosa. Using proteomic analyses, high‐throughput metabolic tests and functional assays, the present work shows the virulence and antibiotic resistance of this pathogen to be linked to its physiology, and to be under the control (directly or indirectly) of Crc. A P. aeruginosa strain lacking the Crc regulator showed defects in type III secretion, motility, expression of quorum sensing‐regulated virulence factors, and was less virulent in a Dictyostelium discoideum model. In addition, this mutant strain was more susceptible to beta‐lactams, aminoglycosides, fosfomycin and rifampin. Crc might therefore be a good target in the search for new antibiotics.     

Effects of prior exposure to antibiotics on bacterial adaptation to phages

Understanding adaptation to complex environments requires information about how exposure to one selection pressure affects adaptation to others. For bacteria, antibiotics and viral parasites (phages) are two of the most common selection pressures and are both relevant for treatment of bacterial infections: increasing antibiotic resistance is generating significant interest in using phages in addition or as an alternative to antibiotics. However, we lack knowledge of how exposure to antibiotics affects bacterial responses to phages. Specifically, it is unclear how the negative effects of antibiotics on bacterial population growth combine with any possible mutagenic effects or physiological responses to influence adaptation to other stressors such as phages, and how this net effect varies with antibiotic concentration. Here, we experimentally addressed the effect of pre‐exposure to a wide range of antibiotic concentrations on bacterial responses to phages. Across 10 antibiotics, we found a strong association between their effects on bacterial population size and subsequent population growth in the presence of phages (which in these conditions indicates phage‐resistance evolution). We detected some evidence of mutagenesis among populations treated with fluoroquinolones and β‐lactams at sublethal doses, but these effects were small and not consistent across phage treatments. These results show that, although stressors such as antibiotics can boost adaptation to other stressors at low concentrations, these effects are weak compared to the effect of reduced population growth at inhibitory concentrations, which in our experiments strongly reduced the likelihood of subsequent phage‐resistance evolution.     

细菌耐药影响肠道菌群及其宿主免疫调控

抗生素在养殖业、医疗业及制药业的广泛应用导致环境中的细菌耐药性日益严重,环境中的抗生素及耐药细菌一旦进入人体肠道,将破坏肠道菌群稳态,对人体健康造成威胁,而残存于饮食中的环境污染物则加剧了细菌耐药造成的人体健康影响。文中在总结大量文献的基础上,阐述了细菌耐药对人体和动物肠道菌群的影响机制及其相关的机体免疫调控,以环境中影响人体肠道菌群获得耐药性的来源作为切入点,阐述抗生素和耐药细菌进入人体肠道后对人体肠道菌群结构和耐药基因组成的影响,以及与人体免疫和免疫调节相关疾病之间的相关机制,并对今后的研究方向进行了展望。     

非编码小RNA对细菌毒力及耐药性的调控作用研究进展

近年来的研究发现,细菌非编码小RNA (small non-coding RNA, sRNA)对其不同生理进程起到了重要的调控作用。随着大量sRNA被发现并鉴定,细菌sRNA的功能被逐步阐明,其可在转录后水平广泛调控细菌的生理代谢、毒力及耐药性等。本文综述了sRNA对细菌毒力和耐药性调控作用的研究进展,对揭示细菌转录后水平毒力及耐药性调控机制具有一定意义。