Literature DB >> 27376479

Simultaneous time course analysis of multiple markers based on DNA microarray in incised wound in skeletal muscle for wound aging.

Mohammed Hassan Gaballah1, Mamiko Fukuta2, Yoshitaka Maeno3, Yoshimi Seko-Nakamura2, Jun Monma-Ohtaki2, Yuka Shibata2, Hideaki Kato2, Yasuhiro Aoki2, Masataka Takamiya4.   

Abstract

Assessment of incised wound age in skeletal muscles is important because fatal injuries are often complicated with muscle involvement. Transcriptome of injured skeletal muscle along with histopathological and immunohistochemistry staining, were analyzed to explore the biological effect of incised injuries using a mouse incised injury model. An incisional wound was made at the biceps femoris muscle of anesthetized mice, and the muscles were sampled at 6, 12, 24, 36 and 48h post-injury. DNA microarray analysis using RNA extracted from the muscle samples of 12h post-injury identified 3,655 upregulated and 3,583 downregulated genes. Referring to the results of the gene ontology and gene expression pathway analysis, time course expression of five cytokines, namely chemokine (C-C motif) ligand 4 (CCL4), chemokine (C-X-C motif) ligand 5 (CXCL5), interleukin-1 beta (IL-1β), interleukin- 6 (IL-6) and interleukin-7 (IL-7), were analyzed by quantative reverse transcription PCR (qRT-PCR). CXCL5 was the most upregulated gene throughout the post-injury period with higher expression from 6 through 36h post injury. Upregulation of CCL4 and IL-1β was also persisted until 36h post injury. IL-6 mRNA was highly and rapidly expressed at 6h post-injury followed by significant decrease at 12h. Unlike other four cytokines, IL-7 showed slow and steady increasing over time until 48h post-injury. Immunohistochemical staining of post-injury samples showed gradual mild increase of staining intensity proportional to increasing time points especially around the wound edges. The present study highlights the unique dynamics of each cytokine and reflects their roles in the process of muscle wound healing, and suggests the potential of them as a tool for forensic wound age estimation.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cytokines; DNA microarray; Gene expression; Incised wound; Skeletal muscle; Wound aging

Mesh:

Substances:

Year:  2016        PMID: 27376479     DOI: 10.1016/j.forsciint.2016.06.027

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  7 in total

1.  Temporal expression of wound healing-related genes inform wound age estimation in rats after a skeletal muscle contusion: a multivariate statistical model analysis.

Authors:  Qiu-Xiang Du; Na Li; Li-Hong Dang; Ta-Na Dong; Han-Lin Lu; Fu-Xia Shi; Qian-Qian Jin; Cao Jie; Jun-Hong Sun
Journal:  Int J Legal Med       Date:  2019-01-11       Impact factor: 2.686

Review 2.  The Role of miRNAs as New Molecular Biomarkers for Dating the Age of Wound Production: A Systematic Review.

Authors:  Stefania De Simone; Elena Giacani; Maria Antonella Bosco; Simona Vittorio; Michela Ferrara; Giuseppe Bertozzi; Luigi Cipolloni; Raffaele La Russa
Journal:  Front Med (Lausanne)       Date:  2022-01-14

Review 3.  Vitality and wound-age estimation in forensic pathology: review and future prospects.

Authors:  Na Li; Qiuxiang Du; Rufeng Bai; Junhong Sun
Journal:  Forensic Sci Res       Date:  2018-03-29

4.  Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study.

Authors:  Na Li; Chun Li; Dan Li; Li-Hong Dang; Kang Ren; Qiu-Xiang Du; Jie Cao; Qian-Qian Jin; Ying-Yuan Wang; Ru-Feng Bai; Jun-Hong Sun
Journal:  PeerJ       Date:  2021-12-23       Impact factor: 2.984

Review 5.  Artificial Intelligence in Forensic Medicine and Toxicology: The Future of Forensic Medicine.

Authors:  Toshal D Wankhade; Sundeep W Ingale; Prakash M Mohite; Nandkishor J Bankar
Journal:  Cureus       Date:  2022-08-25

6.  Time course analysis of large-scale gene expression in incised muscle using correspondence analysis.

Authors:  Tetsuya Horita; Mohammed Hassan Gaballah; Mamiko Fukuta; Sanae Kanno; Hideaki Kato; Masataka Takamiya; Yasuhiro Aoki
Journal:  PLoS One       Date:  2020-03-25       Impact factor: 3.240

7.  Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses.

Authors:  Na Li; Ru-Feng Bai; Chun Li; Li-Hong Dang; Qiu-Xiang Du; Qian-Qian Jin; Jie Cao; Ying-Yuan Wang; Jun-Hong Sun
Journal:  Biosci Rep       Date:  2021-01-29       Impact factor: 3.840

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.