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He L, Palos-Jasso A, Yi Y, Qin M, Qiu L, Yang X, Zhang Y, Yu J. Bioinformatic Analysis Revealed the Essential Regulatory Genes and Pathways of Early and Advanced Atherosclerotic Plaque in Humans. Cells 2022; 11:cells11243976. [PMID: 36552740 PMCID: PMC9776921 DOI: 10.3390/cells11243976] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
Atherosclerosis (AS) is a lipid-induced, chronic inflammatory, autoimmune disease affecting multiple arteries. Although much effort has been put into AS research in the past decades, it is still the leading cause of death worldwide. The complex genetic network regulation underlying the pathogenesis of AS still needs further investigation to provide effective targeted therapy for AS. We performed a bioinformatic microarray data analysis at different atherosclerotic plaque stages from the Gene Expression Omnibus database with accession numbers GSE43292 and GSE28829. Using gene set enrichment analysis, we further confirmed the immune-related pathways that play an important role in the development of AS. We are reporting, for the first time, that the metabolism of the three branched-chain amino acids (BCAAs; leucine, isoleucine, and valine) and short-chain fatty acids (SCFA; propanoate, and butanoate) are involved in the progression of AS using microarray data of atherosclerotic plaque tissue. Immune and muscle system-related pathways were further confirmed as highly regulated pathways during the development of AS using gene expression pattern analysis. Furthermore, we also identified four modules mainly involved in histone modification, immune-related processes, macroautophagy, and B cell activation with modular differential connectivity in the dataset of GSE43292, and three modules related to immune-related processes, B cell activation, and nuclear division in the dataset of GSE28829 also display modular differential connectivity based on the weighted gene co-expression network analysis. Finally, we identified eight key genes related to the pathways of immune and muscle system function as potential therapeutic biomarkers to distinguish patients with early or advanced stages in AS, and two of the eight genes were validated using the gene expression dataset from gene-deficient mice. The results of the current study will improve our understanding of the molecular mechanisms in the progression of AS. The key genes and pathways identified could be potential biomarkers or new drug targets for AS management.
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Affiliation(s)
- Luling He
- Key Laboratory for Pharmacology and Translational Research of Traditional Chinese Medicine of Nanchang, Centre for Translational Medicine, Jiangxi University of Chinese Medicine, Nanchang 330006, China
- Jiangxi Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Vascular Remodeling Diseases, Nanchang 330006, China
| | - Andrea Palos-Jasso
- Department of Cardiovascular Sciences and Centre for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Yao Yi
- Institute of Gynecology and Obstetrics of traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330006, China
| | - Manman Qin
- Key Laboratory for Pharmacology and Translational Research of Traditional Chinese Medicine of Nanchang, Centre for Translational Medicine, Jiangxi University of Chinese Medicine, Nanchang 330006, China
- Jiangxi Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Vascular Remodeling Diseases, Nanchang 330006, China
| | - Liang Qiu
- Key Laboratory for Pharmacology and Translational Research of Traditional Chinese Medicine of Nanchang, Centre for Translational Medicine, Jiangxi University of Chinese Medicine, Nanchang 330006, China
- Jiangxi Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Vascular Remodeling Diseases, Nanchang 330006, China
| | - Xiaofeng Yang
- Department of Cardiovascular Sciences and Centre for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Yifeng Zhang
- Key Laboratory for Pharmacology and Translational Research of Traditional Chinese Medicine of Nanchang, Centre for Translational Medicine, Jiangxi University of Chinese Medicine, Nanchang 330006, China
- Jiangxi Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Vascular Remodeling Diseases, Nanchang 330006, China
- Correspondence:
| | - Jun Yu
- Department of Cardiovascular Sciences and Centre for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
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Striessnig E, Bora JK. Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts. SPATIAL DEMOGRAPHY 2020. [DOI: 10.1007/s40980-020-00058-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
AbstractVariation in human growth and the genetic and environmental factors that are influencing it have been described worldwide. The objective of this study is to assess the geographical variance of under-five nutritional status and its related covariates across Indian districts. We use the most recent fourth round of the Indian National Family Health Survey conducted in 2015–2016, which for the first time offers district level information. We employ principal component analysis (PCA) on the demographic and socio-economic determinants of childhood morbidity and conduct hierarchical clustering analysis to identify geographical patterns in nutritional status at the district level. Our results reveal strong geographical clustering among the districts of India, often crossing state borders. Throughout most of Southern India, children are provided with relatively better conditions for growth and improved nutritional status, as compared to districts in the central, particularly rural parts of India along the so called “tribal belt”. Here is also where girls are on average measured to have less weight and height compared to boys. Looking at average weight, as well as the proportion of children that suffer from underweight and wasting, north-eastern Indian districts offer living conditions more conducive to healthy child development. The geographical clustering of malnutrition, as well as below-average child height and weight coincides with high poverty, low female education, lower BMI among mothers, higher prevalence of both parity 4 + and teenage pregnancies. The present study highlights the importance of combining PCA and cluster analysis in studying variation in under-five child growth and of conducting this analysis at the district level. We identify the geographical areas, where children are under severe risk of undernutrition, stunting and wasting and contribute to formulating policies to improve child nutrition in India.
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