SIRT1 and FOXO1 mRNA expression in PBMC correlates to physical activity in COPD patients

Taka, Chihiro; Hayashi, Ryuji; Shimokawa, Kazuki; Tokui, Kotaro; Okazawa, Seisuke; Kambara, Kenta; Inomata, Minehiko; Yamada, Tōru; Matsui, Shoko; Tobe, Kazuyuki

doi:10.2147/copd.s144969

Cited by 22 publications

(19 citation statements)

References 39 publications

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“…The skeletal muscles play a pivotal role in the mechanical processes underlying breathing and movement. Previous studies in COPD patients revealed that lower skeletal muscle mass, assessed by the CSA of the quadriceps or ESM, contributes not only to breathlessness and poorer functional capacity, but also to worse prognosis [38][39][40]. Additionally, the ESM CSA values were significantly lower in COPD patients than in the smoking controls, and were associated with disease severity [18].…”

Section: Discussionmentioning

confidence: 97%

Quantitative assessment of erector spinae muscles in patients with Mycobacterium avium complex lung disease

Asakura

Yamada

Suzuki

et al. 2018

Respiratory Medicine

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Background and objective: No reports exist regarding skeletal muscle involvement in patients with Mycobacterium avium complex lung disease (MAC-LD). The cross-sectional area of the erector spinae muscles (ESM CSA) reflects physical activity and can be assessed by computed tomography (CT). We investigated the relationship between ESM CSA and physiological parameters and prognosis in MAC-LD patients. Material and methods: In this prospective observational study, the ESM CSA was measured on single-slice axial CT images. MAC-LD patients and sex-and age-matched controls (non-MAC-LD participants) were evaluated. We evaluated the relationship between the ESM CSA and physiological parameters and prognosis. Results: A total of 260 patients (209 female; median age, 69 years; 190 with nodular/bronchiectatic disease; 74 with cavitary lesions) were enrolled. The ESM CSA was not different between MAC-LD patients and controls. In MAC-LD patients, the ESM CSA was significantly associated with age, body mass index (BMI), pulmonary function, CT severity, and health-related quality of life (HRQL). Multivariate Cox proportional hazards analyses revealed that an ESM CSA < −1 standard derivation (hazards ratio [HR], 2.76; P = 0.047) was significantly associated with all-cause mortality, along with BMI < 18.5 kg/m 2 (HR, 3.67; P = 0.02) and presence of cavitary lesions (HR, 5.84; P = 0.001). However, the ESM CSA was not significantly associated with all-cause mortality when current treatment status, % predicted functional vital capacity, and forced expiratory volume in 1 s were added to the analyses. Conclusions: Although the prognostic impact was limited, ESM CSA was significantly associated with HRQL and prognostic physiological parameters, such as BMI and pulmonary function.

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Section: Discussionmentioning

confidence: 97%

Quantitative assessment of erector spinae muscles in patients with Mycobacterium avium complex lung disease

Asakura

Yamada

Suzuki

et al. 2018

Respiratory Medicine

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“…21 In addition, evidence suggested that SIRT1 and FOXO1 mRNA expression levels in PBMCs correlate to physical activity in COPD patients. 22 We intend to explore more potential autophagyrelated genes of COPD in the future.…”

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confidence: 99%

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

Sun¹,

Shen²,

Wang³

et al. 2021

COPD

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Autophagy plays essential roles in the development of COPD. We aim to identify and validate the potential autophagy-related genes of COPD through bioinformatics analysis and experiment validation. Methods: The mRNA expression profile dataset GSE38974 was obtained from GEO database. The potential differentially expressed autophagy-related genes of COPD were screened by R software. Then, protein-protein interactions (PPI), correlation analysis, gene-ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied for the differentially expressed autophagy-related genes. Finally, RNA expression of top five differentially expressed autophagy-related genes was validated in blood samples from COPD patients and healthy controls by qRT-PCR. Results: A total of 40 differentially expressed autophagy-related genes (14 up-regulated genes and 26 down-regulated genes) were identified between 23 COPD patients and 9 healthy controls. The PPI results demonstrated that these autophagy-related genes interacted with each other. The GO and KEGG enrichment analysis of differentially expressed autophagy-related genes indicated several enriched terms related to autophagy and mitophagy. The results of qRT-PCR showed that the expression levels of HIF1A, CDKN1A, BAG3, ERBB2 and ATG16L1 in COPD patients and healthy controls were consistent with the bioinformatics analysis results from mRNA microarray. Conclusion: We identified 40 potential autophagy-related genes of COPD through bioinformatics analysis. HIF1A, CDKN1A, BAG3, ERBB2 and ATG16L1 may affect the development of COPD by regulating autophagy. These results may expand our understanding of COPD and might be useful in the treatment of COPD.

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“…FOXO1, a member of the forkhead-box O family, can act as a homeostasis regulator and coordinate responses to various environmental changes, including oxidative stress. 39 , 40 Liu et al 41 identified that AMPK alleviated endoplasmic reticulum stress in COPD through activation of FOXO1. In agreement with the study of Hueso et al, 42 FOXO1 expression of our analysis was decreased in COPD plasma compared with normal plasma, suggesting that miR-130b-5p-FOXO1 may participate in the pathogenesis of COPD through excessive oxidative stress.…”

Section: Discussionmentioning

confidence: 99%

<p>Construction of Potential miRNA–mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis</p>

Zhu¹,

Ye²,

Wang³

et al. 2020

COPD

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Background Chronic obstructive pulmonary disease (COPD) has become a major cause of morbidity and mortality worldwide. Increasing evidence indicates that aberrantly expressed microRNAs (miRNAs) are involved in the pathogenesis of COPD. However, an integrative exploration of miRNA–mRNA regulatory network in COPD plasma remains lacking. Methods The microarray datasets GSE24709, GSE61741, and GSE31568 were downloaded from the GEO database and analyzed using GEO2R tool to identify differentially expressed miRNAs (DEMs) between COPD and normal plasma. The consistently changing miRNAs in the three datasets were screened out as candidate DEMs. Potential upstream transcription factors and downstream target genes of candidate DEMs were predicted by FunRich and miRNet, respectively. Next, GO annotation and KEGG pathway enrichment analysis for target genes were performed using DAVID. Then, PPI and DEM-hub gene network were constructed using the STRING database and Cytoscape software. Finally, GSE56768 was used to evaluate the hub gene expressions. Results A total of nine (six upregulated and three downregulated) DEMs were screened out in the above three datasets. SP1 was predicted to potentially regulate most of the downregulated DEMs, while YY1 and E2F1 could regulate both upregulated and downregulated DEMs. 1139 target genes were then predicted, including 596 upregulated DEM target genes and 543 downregulated DEM target genes. Target genes of DEMs were mainly enriched in PI3K/Akt signaling pathway, mTOR signaling pathway, and autophagy. Through the DEM-hub gene network construction, most of the hub genes were found to be potentially modulated by miR-497-5p, miR-130b-5p, and miR-126-5p. Among the top 12 hub genes, MYC and FOXO1 expressions were consistent with that in the GSE56768 dataset. Conclusion In the study, potential miRNA–mRNA regulatory network was firstly constructed in COPD plasma, which may provide a new insight into the pathogenesis and treatment of COPD.

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SIRT1 and FOXO1 mRNA expression in PBMC correlates to physical activity in COPD patients

Cited by 22 publications

References 39 publications

Quantitative assessment of erector spinae muscles in patients with Mycobacterium avium complex lung disease

Quantitative assessment of erector spinae muscles in patients with Mycobacterium avium complex lung disease

Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease

<p>Construction of Potential miRNA–mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis</p>

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