Ultrasound-based assessment of the expression of inflammatory markers in the rectus femoris muscle of rats.

IF 2.8 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Experimental Biology and Medicine Pub Date : 2024-02-29 eCollection Date: 2024-01-01 DOI:10.3389/ebm.2024.10064
Bahareh Ahmadi, Felipe C K Duarte, John Srbely, Pawel M Bartlewski
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引用次数: 0

Abstract

Ultrasonographic characteristics of skeletal muscles are related to their health status and functional capacity, but they still provide limited information on muscle composition during the inflammatory process. It has been demonstrated that an alteration in muscle composition or structure can have disparate effects on different ranges of ultrasonogram pixel intensities. Therefore, monitoring specific clusters or bands of pixel intensity values could help detect echotextural changes in skeletal muscles associated with neurogenic inflammation. Here we compare two methods of ultrasonographic image analysis, namely, the echointensity (EI) segmentation approach (EI banding method) and detection of selective pixel intensity ranges correlated with the expression of inflammatory regulators using an in-house developed computer algorithm (r-Algo). This study utilized an experimental model of neurogenic inflammation in segmentally linked myotomes (i.e., rectus femoris (RF) muscle) of rats subjected to lumbar facet injury. Our results show that there were no significant differences in RF echotextural variables for different EI bands (with 50- or 25-pixel intervals) between surgery and sham-operated rats, and no significant correlations among individual EI band pixel characteristics and protein expression of inflammatory regulators studied. However, mean numerical pixel values for the pixel intensity ranges identified with the proprietary r-Algo computer program correlated with protein expression of ERK1/2 and substance P (both 86-101-pixel ranges) and CaMKII (86-103-pixel range) in RF, and were greater (p < 0.05) in surgery rats compared with their sham-operated counterparts. Our findings indicate that computer-aided identification of specific pixel intensity ranges was critical for ultrasonographic detection of changes in the expression of inflammatory mediators in neurosegmentally-linked skeletal muscles of rats after facet injury.

基于超声波评估大鼠股直肌中炎症标记物的表达。
骨骼肌的超声波特征与肌肉的健康状况和功能能力有关,但它们对炎症过程中的肌肉组成提供的信息仍然有限。研究表明,肌肉成分或结构的改变会对不同范围的超声波图像素强度产生不同的影响。因此,监测像素强度值的特定群组或波段有助于检测与神经源性炎症相关的骨骼肌回声纹理变化。在此,我们比较了两种超声图像分析方法,即回声强度(EI)分割方法(EI 波段法)和使用内部开发的计算机算法(r-Algo)检测与炎症调节因子表达相关的选择性像素强度范围。本研究采用了一种神经源性炎症的实验模型,在腰椎面损伤的大鼠节段相连的肌小体(即股直肌(RF))中进行研究。我们的研究结果表明,手术大鼠和假手术大鼠的不同 EI 波段(50 或 25 像素间隔)的射频回声纹理变量没有显著差异,单个 EI 波段像素特征与所研究的炎症调节因子的蛋白质表达之间也没有显著相关性。然而,使用专有 r-Algo 计算机程序识别的像素强度范围的平均像素数值与 RF 中 ERK1/2 和 P 物质(均为 86-101 像素范围)以及 CaMKII(86-103 像素范围)的蛋白质表达相关,且手术大鼠的相关性高于假手术大鼠(p < 0.05)。我们的研究结果表明,计算机辅助识别特定像素强度范围对于超声波检测大鼠面骨损伤后神经节段相连骨骼肌中炎症介质的表达变化至关重要。
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
Experimental Biology and Medicine
Experimental Biology and Medicine 医学-医学:研究与实验
CiteScore
6.00
自引率
0.00%
发文量
157
审稿时长
1 months
期刊介绍: Experimental Biology and Medicine (EBM) is a global, peer-reviewed journal dedicated to the publication of multidisciplinary and interdisciplinary research in the biomedical sciences. EBM provides both research and review articles as well as meeting symposia and brief communications. Articles in EBM represent cutting edge research at the overlapping junctions of the biological, physical and engineering sciences that impact upon the health and welfare of the world''s population. Topics covered in EBM include: Anatomy/Pathology; Biochemistry and Molecular Biology; Bioimaging; Biomedical Engineering; Bionanoscience; Cell and Developmental Biology; Endocrinology and Nutrition; Environmental Health/Biomarkers/Precision Medicine; Genomics, Proteomics, and Bioinformatics; Immunology/Microbiology/Virology; Mechanisms of Aging; Neuroscience; Pharmacology and Toxicology; Physiology; Stem Cell Biology; Structural Biology; Systems Biology and Microphysiological Systems; and Translational Research.
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