ObjectiveThis article investigates the role of Transgelin (TAGLN) in the epithelial–mesenchymal transition (EMT) of esophageal squamous cell carcinomas (ESCC) and its possible mechanism of inhibiting the invasion of these cancers.MethodsTissue specimens and clinical information of patients with ESCC were collected to analyze the relationship between Transgelin expression level and prognosis of patients with ESCC. Transgelin siRNA was used to knock down Transgelin expression. The expression of Transgelin in Eca-109 and KYSE-150 cells was overexpressed by Transgelin-overexpressing plasmid. The effects of Transgelin overexpression and knockdown on the proliferation of Eca-109 and KYSE-150 cells were examined by Transwell chamber, scratch assay, and CCK-8 cell activity assay. RT-PCR and Western blot were used to detect the effect of Transgelin overexpression or knockdown on the mRNA and protein expressions of E-cadherin and Vimentin. TCGA data were used to analyze Transgelin co-expressed genes and further study the GO and KEGG enrichment analysis results under the influence of Transgelin.ResultsThe expression of Transgelin was low in ESCC, and its expression level was positively correlated with the prognosis of patients with ESCC. The targeted Transgelin siRNA and Transgelin-overexpressing plasmid can effectively regulate the expression of Transgelin mRNA and protein in Eca-109 and KYSE-150 cells. After overexpression of Transgelin, the invasion and proliferation abilities of Eca-109 and KYSE-150 cells were significantly decreased compared with those of the control group (P < 0.05). However, Transgelin knockdown could promote the proliferation, migration, and invasion of ESCC cells. The overexpression of Transgelin inhibits EMT in ESCC. With the increase of Transgelin expression in Eca-109 and KYSE-150 cells, the expression of E-cadherin increased, while the expression of Vimentin decreased, and the difference was statistically significant (P < 0.05).ConclusionTransgelin can inhibit the malignant progression of ESCC by inhibiting the occurrence of EMT.
Over the last few decades, gut microbiota research has been the focus of intense research and this eld has become particularly important. This research aimed to provide a quantitative evaluation of the 100 most-cited articles on gut microbiota and IBS and highlight the most important advances in this eld.
MethodsThe database Web of Science Core Collection (WoS) was used to download the bibliometric information the top 100 most-cited papers. Microsoft Excel 2021, CiteSpace, VOSviewer, R software, and an online analytical platform (https://bibliometric.com/) were was applied to perform bibliometric analysis of these papers.
ResultsThe total citation frequency in the top 100 article ranged from 274 to 2,324, with an average citation of 556.57. A total of 24 countries/regions made contributions to the top 100 cited papers, and USA, Ireland, and China were the most top three productive countries. Cryan JF was the most frequently nominated author, and of the top 100 articles, 20 listed his name. Top-cited papers mainly came from the Gastroenterology (n = 13, citations = 6,373) and Gut (n = 9, citations = 3,903). There was a signi cant citation path, indicating publications in molecular/biology/immunology primarily cited journals in molecular/biology/genetics elds. Keywords analysis suggested that the main topics on gut microbiota and IBS were mechanisms of microbiome in brain-gut axis." Behavior" was the keyword with the strongest burst strength (= 2.36), followed by "anxiety like behavior" (2.24), "intestinal microbiota" (2.19), and "chain fatty acid" (1.99), and "maternal separation" (1.95).
ConclusionThis study identi ed and provided the bibliometric information of the top 100 cited publications related to gut microbiota and IBS. The results provided a general overview of this topic and might help researchers to better understand the evolution, In uential ndings and hotspots in researching gut microbiota and IBS, thus providing new perspectives and novel research ideas in this speci c area.
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