亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

In vitro model of production of antibodies; a new approach to reveal the presence of key bacteria in polymicrobial environments

细菌 微生物学 生物 生物膜 抗体 致病菌 抗生素 微生物 抗菌剂 体外 医学微生物学 免疫学 遗传学 生物化学
作者
Chongcong Wu,Sravya Sowdamini Nakka,Sepahdar Mansouri,Torbjörn Bengtsson,Tayeb Nayeri,Fariba Nayeri
出处
期刊:BMC Microbiology [BioMed Central]
卷期号:16 (1) 被引量:3
标识
DOI:10.1186/s12866-016-0821-5
摘要

There is a rapid emergence of multiple resistant gram-negative bacteria due to overuse of antibiotics in the treatment of infections. Biofilms consist of polymicrobial communities that survive the host’s defense system. The key bacteria in biofilms are slow growing and support an attachment and rapid growth of other microorganisms. Current antimicrobial strategies often fail due to poor diagnosis of key pathogens in biofilms. The study aims to develop anti-bacterial human antibodies in vitro from patients who had recently undergone a systemic infection by pathogenic bacteria and to use these antibodies as a tool for detecting bacteria in biofilms. Lymphocytes were separated from whole blood of patients (n = 10) and stimulated with heat-killed bacteria to produce antibodies in vitro. The specificity of antibodies in recognizing the bacteria against which they were directed was evaluated by surface plasmon resonance system (SPR) and electron microscopy. The ulcer secretions from patients with chronic and acute leg ulcers and healthy controls were analyzed by the SPR system and the results were compared with culture studies. The produced antibodies recognized bacteria with high sensitivity (SPR). The antibodies against Enterococcus fecalis bound specifically to the microorganism in a bacterial co-culture that was visualized by electron microscopy. In the present work, a method for producing specific antibodies against bacteria is introduced to recognize bacterial components in body fluids of patients suffering from pathogenic biofilms. This diagnostic technique may be most useful in clinical microbiology and in the choice of antibiotics in the treatment of serious infections.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
handong完成签到,获得积分10
6秒前
调皮大娘完成签到 ,获得积分10
15秒前
烟花应助晗安采纳,获得10
15秒前
30秒前
32秒前
33秒前
ccc发布了新的文献求助10
35秒前
晗安发布了新的文献求助10
37秒前
潘善若发布了新的文献求助100
38秒前
39秒前
田様应助科研通管家采纳,获得10
39秒前
顾矜应助ccc采纳,获得10
42秒前
科目三应助稳重马里奥采纳,获得10
50秒前
yyds完成签到,获得积分20
51秒前
55秒前
马克完成签到,获得积分10
56秒前
6666完成签到,获得积分10
58秒前
ai zs发布了新的文献求助10
1分钟前
xlj完成签到 ,获得积分10
1分钟前
科研通AI2S应助自觉无心采纳,获得10
1分钟前
wmd完成签到,获得积分10
1分钟前
1分钟前
1分钟前
mirrovo完成签到 ,获得积分10
1分钟前
1分钟前
daggeraxe发布了新的文献求助10
1分钟前
领导范儿应助斯文宛秋采纳,获得10
1分钟前
TXZ06完成签到,获得积分10
1分钟前
1分钟前
ai zs发布了新的文献求助10
1分钟前
喜悦的小土豆完成签到 ,获得积分10
2分钟前
6wdhw完成签到 ,获得积分10
2分钟前
CodeCraft应助无私夏之采纳,获得10
2分钟前
LSY完成签到 ,获得积分10
2分钟前
和谐青文完成签到 ,获得积分10
2分钟前
狂野从蕾完成签到 ,获得积分10
2分钟前
2分钟前
Owen应助科研通管家采纳,获得10
2分钟前
2分钟前
ai zs发布了新的文献求助10
2分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6471733
求助须知:如何正确求助?哪些是违规求助? 8275908
关于积分的说明 17646123
捐赠科研通 5550429
什么是DOI,文献DOI怎么找? 2909363
邀请新用户注册赠送积分活动 1886148
关于科研通互助平台的介绍 1736926