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Assessment of Keratitis Severity Using Quantitative Image Analysis in an In Vivo Murine Model of Staphylococcus aureus Bacterial Keratitis.

基本信息

DOI:
10.1167/tvst.11.11.12
发表时间:
2022-11-01
影响因子:
3
通讯作者:
Woodward, Maria A.
中科院分区:
医学3区
文献类型:
Journal Article
作者: Meijome, Tomas E.;Wozniak, Rachel;Kang, Linda;Azzouz, Lyna;Niziol, Leslie M.;Johnson, William L.;Kriegel, Matthias;Woodward, Maria A.研究方向: OphthalmologyMeSH主题词: --
来源链接:pubmed详情页地址

文献摘要

Bacterial keratitis (BK) severity in murine models has traditionally been measured by subjective clinical grading or quantification of ocular bacterial burden. This investigation explores an objective and repeatable quantification of slit lamp photography (SLP) images to measure BK severity. BALB/c strain mice underwent three parallel scratches of the right cornea with subsequent inoculation of 107 Staphylococcus aureus cells. SLP imaging and clinical severity grading were performed at 48 hours post-infection. Stromal infiltrate (SI) area on SLP images were quantified. Bacterial burden was determined after enucleation and homogenization. Spearman rank correlations (rs) were used to estimate associations between SI area, clinical severity grades, and bacterial burden. BALB/c strain mice (n = 14) were evaluated with an average SI area of 0.92 mm2 (standard deviation, SD = 0.65) and average bacterial burden of 3.16 × 105 colony forming units per milliliter (CFU/mL) (SD = 8.3 × 105). Clinical severity grade positively correlated with SI area (rs = 0.59, p = 0.0276) and bacterial burden (rs = 0.66, p = 0.0106). There was a trend towards positive association between SI area and bacterial burden (rs = 0.51, p = 0.0543). SLP annotation of SI area is correlated with clinical severity and may provide an objective, quantitative, and repeatable assessment of BK disease severity. SLP annotation of SI area is a novel quantitative method to evaluate bacterial keratitis severity longitudinally in mouse models which may be a powerful tool to better understand BK pathogenesis and response to treatments.
在小鼠模型中,细菌性角膜炎(BK)的严重程度传统上是通过主观临床分级或眼部细菌负荷的量化来衡量的。本研究探索了一种对裂隙灯摄影(SLP)图像进行客观且可重复的量化方法来衡量BK的严重程度。 BALB/c品系小鼠的右眼角膜进行三次平行划痕,随后接种10⁷个金黄色葡萄球菌细胞。在感染后48小时进行SLP成像和临床严重程度分级。对SLP图像上的基质浸润(SI)面积进行量化。摘除眼球并匀浆后确定细菌负荷。采用斯皮尔曼等级相关(rs)来评估SI面积、临床严重程度分级和细菌负荷之间的关联。 对14只BALB/c品系小鼠进行评估,平均SI面积为0.92平方毫米(标准差,SD = 0.65),平均细菌负荷为每毫升3.16×10⁵个菌落形成单位(CFU/mL)(SD = 8.3×10⁵)。临床严重程度分级与SI面积呈正相关(rs = 0.59,p = 0.0276),与细菌负荷也呈正相关(rs = 0.66,p = 0.0106)。SI面积和细菌负荷之间呈正相关趋势(rs = 0.51,p = 0.0543)。 SI面积的SLP标注与临床严重程度相关,可能为BK疾病严重程度提供一种客观、定量且可重复的评估。 SI面积的SLP标注是一种在小鼠模型中纵向评估细菌性角膜炎严重程度的新型定量方法,它可能是更好地理解BK发病机制和治疗反应的有力工具。
参考文献(21)
被引文献(0)
Markers of Intestinal Inflammation, Not Bacterial Burden, Correlate With Clinical Outcomes in Clostridium difficile Infection
DOI:
10.1093/cid/cit147
发表时间:
2013-06-15
期刊:
CLINICAL INFECTIOUS DISEASES
影响因子:
11.8
作者:
El Feghaly, Rana E.;Stauber, Jennifer L.;Haslam, David B.
通讯作者:
Haslam, David B.
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DOI:
10.1038/sj.eye.6700635
发表时间:
2003-11-01
期刊:
EYE
影响因子:
3.9
作者:
O'Brien, TP
通讯作者:
O'Brien, TP
Bacterial Keratitis: Isolated Organisms and Antibiotic Resistance Patterns in San Francisco
DOI:
10.1097/ico.0000000000001417
发表时间:
2018-01-01
期刊:
CORNEA
影响因子:
2.8
作者:
Peng, Michelle Y.;Cevallos, Vicky;Rose-Nussbaumer, Jennifer
通讯作者:
Rose-Nussbaumer, Jennifer
Effects of toxin production in a murine model of Staphylococcus aureus keratitis
DOI:
10.1167/iovs.04-0897
发表时间:
2005-06-01
期刊:
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
影响因子:
4.4
作者:
Girgis, DO;Sloop, GD;O'Callaghan, RJ
通讯作者:
O'Callaghan, RJ
Proinflammatory cytokine deficiency and pathogenesis of Pseudomonas aeruginosa keratitis in aged mice
DOI:
10.1128/iai.65.7.2754-2758.1997
发表时间:
1997-07-01
期刊:
INFECTION AND IMMUNITY
影响因子:
3.1
作者:
Hobden, JA;Masinick, SA;Hazlett, LD
通讯作者:
Hazlett, LD

数据更新时间:{{ references.updateTime }}

关联基金

Development of Novel Ophthalmic Antibiotics
批准号:
10407570
批准年份:
2018
资助金额:
14.9
项目类别:
Woodward, Maria A.
通讯地址:
Univ Michigan, WK Kellogg Eye Ctr, Dept Ophthalmol & Visual Sci, 1000 Wall St, Ann Arbor, MI 48105 USA
所属机构:
Univ MichigannUniversity of Michigan SystemnUniversity of MichigannUniversity of Michigan Michigan MedicinenUniversity of Michigan Health SystemnUniversity of Michigan W K Kellogg Eye CenternUniversity of Michigan Michigan MedicinenUniversity of Michigan School of MedicinenUniversity of Michigan Department of Ophthalmology and Visual Sciences
电子邮件地址:
--
通讯地址历史:
Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI USA
所属机构
Univ Michigan
University of Michigan System
University of Michigan
University of Michigan Michigan Medicine
University of Michigan School of Medicine
University of Michigan Department of Ophthalmology and Visual Sciences
Univ Rochester, Sch Med & Dent, Dept Ophthalmol, Rochester, NY USA
所属机构
Univ Rochester
University of Rochester
University of Rochester Medical Center
University of Rochester School of Medicine and Dentistry
Augenzentrum St Franziskus Hosp, Munster, Germany
所属机构
Augenzentrum St Franziskus Hosp
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