Multifocal neuroendocrine cell hyperplasia accompanied by tumorlet formation and pulmonary sclerosing pneumocytoma: A case report

Han, Xiaoyu; Wang, Yuan‐Yuan; Wei, Hongquan; Yang, Guoren; Wang, Jian; Jia, Yuzhu; Ao, Weiqun

doi:10.12998/wjcc.v8.i16.3583

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Traditional disease diagnosis relies on pathology ( 28 ); however, pathology has difficulty in discerning the biological nature of tumors. Different diseases show different biological characteristics, which may be related to the different molecular composition and expression of the lesions.…”

Section: Resultsmentioning

confidence: 99%

Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics

Chen¹,

Shi²,

Zhu³

2023

J Thorac Dis

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Background Dilated cardiomyopathy (DCM) is a prevalent condition with diverse etiologies, including viral infection, autoimmune response, and genetic factors. Despite the crucial role of energy metabolism in cardiac function, therapeutic targets for key genes in DCM’s energy metabolism remain scarce. Methods Our study employed the GSE79962 and GSE42955 datasets from the Gene Expression Omnibus (GEO) database for myocardial tissue sample collection and target gene identification via differential gene expression screening. Using various R packages, GSEA software, and the STRING database, we conducted data analysis, gene set enrichment, and protein-protein interaction predictions. The least absolute shrinkage and selection operator (LASSO) and Support Vector Machine (SVM) algorithms aided in feature gene selection, while the predictive model’s efficiency was evaluated via the receiver operating characteristic (ROC) curve analysis. We used the non-negative matrix factorization (NMF) method for molecular typing and the cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm for predicting immune cell infiltration. Results The DLAT and LDHA genes may regulate the immune microenvironment of DCM by influencing activated dendritic cells, activated mast cells, and M0 macrophages, respectively. The BPGM, DLAT, PGM2, ADH1A, ADH1C, LDHA , and PFKM genes may regulate m6A methylation in DCM by affecting the ZC3H13, ALKBH5, RBMX, HNRNPC, METTL3 , and YTHDC1 genes. Further regulatory mechanism analysis suggested that PFKM, DLAT, PKLR, PGM2, LDHA, BPGM, ADH1A , and ADH1C could be involved in the development of cardiomyopathy by regulating the Toll-like receptor signaling pathway. Conclusions PFKM, DLAT, PKLR, PGM2, LDHA, BPGM, ADH1A , and ADH1C may serve as potential targets for guiding the diagnosis, treatment, and follow-up of DCM.

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Section: Resultsmentioning

confidence: 99%

Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics

Chen¹,

Shi²,

Zhu³

2023

J Thorac Dis

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“…Traditionally, the diagnosis of disease relies on pathology, 23 but this hardly reflects the biological nature of the disease. New approaches to disease typing based on molecular typing can provide global characterization of disease at the genetic level, greatly deepen the understanding of molecular pathological information, thus this typing approach has an important clinical role.…”

Section: Resultsmentioning

confidence: 99%

The Role and Potential Mechanism of Complement Factor D in Fibromyalgia Development

Lei,

Song,

Fan

et al. 2023

JPR

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Purpose Fibromyalgia (FM) is a syndrome characterized by chronic musculoskeletal pain. Its clinical symptoms include both somatic and psychiatric symptoms, making the treatment of FM extremely challenging. The cause of FM is still unknown, and some patients do not improve their symptoms even after long-term active treatment. Thus, the development of new targeted therapies is important to reduce pain and improve quality of life for FM patients. Methods In this study, we screened genes and secreted factors that play key roles in FM through bioinformatics and big data analysis. Furthermore, we performed CCK-8, qRT-PCR, glucose, ATP and lactate content testing, dual luciferase reporter gene assay to investigate the potential mechanism of complement factor D in fibromyalgia development. Results In bioinformatics and big data analysis, we identified CFD was negatively correlated with the pro-inflammatory factor IL-6 and positively correlated with the anti-inflammatory factor IL-4, which suggested that CFD may be an anti-inflammatory factor. Through cellular assays, we verified that CFD reversed the decrease in IL-4 expression and the increase in IL-6 expression in BV2 cells caused by ATP. Conclusion In summary, based on bioinformatic methods and big data mining we obtained a new target CFD for FM, and further experiments verified that CFD has significant inhibition of ATP-induced neuropathic pain. These findings provide a new theoretical basis for the clinical translation of CFD.

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Multifocal neuroendocrine cell hyperplasia accompanied by tumorlet formation and pulmonary sclerosing pneumocytoma: A case report

Cited by 2 publications

References 19 publications

Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics

Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics

The Role and Potential Mechanism of Complement Factor D in Fibromyalgia Development

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