10 research outputs found

    Table_2_Dose-response relationships of resistance training in Type 2 diabetes mellitus: a meta-analysis of randomized controlled trials.pdf

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    BackgroundGlobally, type 2 diabetes mellitus (T2DM) accounts for approximately 90% of diabetes cases. Resistance training (RT) is frequently employed to diminish Glycated Hemoglobin (HbA1c) and Fast Blood Glucose (FBG) levels in T2DM patients. Yet, the specific dose-response relationships between RT variables such as training duration, frequency, and intensity for T2DM remain under-researched.ObjectivesThis meta-analysis aimed to elucidate the overarching effects of RT on HbA1c and FBG metrics and to provide dose-response relationships of RT variables. This was achieved by examining randomized controlled trials (RCTs) that reported reductions in HbA1c and FBG among T2DM patients.MethodsComprehensive literature searches were conducted up to 25th February 2023 across databases including EMBASE, Pubmed, Cochrane, CENTRAL, Web of Science, CNKI, Wanfang Data, VIP Database for Chinese Technical Periodicals, and the Chinese Biomedical Database. The Physical Therapy Evidence Database (PEDro) was leveraged to appraise the quality of selected studies based on predefined inclusion and exclusion criteria. The meta-analysis was conducted using Stata 16.Results26 studies that include 1336 participants met the criteria for inclusion. RT significantly reduced HbA1c and FBG levels in comparison to control groups (PConclusionThe beneficial impact of RT on HbA1c and FBG in T2DM patients is affirmed by this systematic review and meta-analysis. Moreover, the critical training parameters identified in this study are pivotal in enhancing HbA1c and FBG reductions, providing a reference for clinical staff to formulate RT exercise regiments for T2DM patients. Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42023414616.</p

    Table_1_Dose-response relationships of resistance training in Type 2 diabetes mellitus: a meta-analysis of randomized controlled trials.docx

    No full text
    BackgroundGlobally, type 2 diabetes mellitus (T2DM) accounts for approximately 90% of diabetes cases. Resistance training (RT) is frequently employed to diminish Glycated Hemoglobin (HbA1c) and Fast Blood Glucose (FBG) levels in T2DM patients. Yet, the specific dose-response relationships between RT variables such as training duration, frequency, and intensity for T2DM remain under-researched.ObjectivesThis meta-analysis aimed to elucidate the overarching effects of RT on HbA1c and FBG metrics and to provide dose-response relationships of RT variables. This was achieved by examining randomized controlled trials (RCTs) that reported reductions in HbA1c and FBG among T2DM patients.MethodsComprehensive literature searches were conducted up to 25th February 2023 across databases including EMBASE, Pubmed, Cochrane, CENTRAL, Web of Science, CNKI, Wanfang Data, VIP Database for Chinese Technical Periodicals, and the Chinese Biomedical Database. The Physical Therapy Evidence Database (PEDro) was leveraged to appraise the quality of selected studies based on predefined inclusion and exclusion criteria. The meta-analysis was conducted using Stata 16.Results26 studies that include 1336 participants met the criteria for inclusion. RT significantly reduced HbA1c and FBG levels in comparison to control groups (PConclusionThe beneficial impact of RT on HbA1c and FBG in T2DM patients is affirmed by this systematic review and meta-analysis. Moreover, the critical training parameters identified in this study are pivotal in enhancing HbA1c and FBG reductions, providing a reference for clinical staff to formulate RT exercise regiments for T2DM patients. Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42023414616.</p

    LOC401317, a p53-Regulated Long Non-Coding RNA, Inhibits Cell Proliferation and Induces Apoptosis in the Nasopharyngeal Carcinoma Cell Line HNE2

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    <div><p>Recent studies have revealed that long non-coding RNAs participate in all steps of cancer initiation and progression by regulating protein-coding genes at the epigenetic, transcriptional, and post-transcriptional levels. Long non-coding RNAs are in turn regulated by other genes, forming a complex regulatory network. The regulation networks between the p53 tumor suppressor and these RNAs in nasopharyngeal carcinoma remains unclear. The aims of this study were to investigate the regulatory roles of the <i>TP53</i> gene in regulating long non-coding RNA expression profiles and to study the function of a <i>TP53</i>-regulated long non-coding RNA (LOC401317) in the nasopharyngeal carcinoma cell line HNE2. Long non-coding RNA expression profiling indicated that 133 long non-coding RNAs were upregulated in the human NPC cell line HNE2 cells following <i>TP53</i> overexpression, while 1057 were downregulated. Among these aberrantly expressed long non-coding RNAs, LOC401317 was the most significantly upregulated one. Further studies indicated that LOC401317 is directly regulated by p53 and that ectopic expression of LOC401317 inhibits HNE2 cell proliferation <i>in vitro</i> and <i>in vivo</i> by inducing cell cycle arrest and apoptosis. LOC401317 inhibited cell cycle progression by increasing p21 expression and decreasing cyclin D1 and cyclin E1 expression and promoted apoptosis through the induction of poly(ADP-ribose) polymerase and caspase-3 cleavage. Collectively, these results suggest that LOC401317 is directly regulated by p53 and exerts antitumor effects in HNE2 nasopharyngeal carcinoma cells.</p></div

    Overexpression of LOC401317 inhibits HNE2 cell growth in xenografted tumors.

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    <p>Untreated HNE2 cells (mock) as well as HNE2 cells that were stably transfected with empty vector (vector) or an LOC401317 overexpression plasmid (LOC401317) were injected subcutaneously into the right flanks of nude mice. (<b>A</b>) Xenograft tumor sizes were monitored by measuring every 5 days, between days 10–35 following injection (n = 10 mice per group). Error bars represent SEM, **<i>P</i><0.01. (<b>B</b>) Mice were sacrificed at 35 days post-injection. (<b>C</b>) Xenografted tumors were separated and their sizes were measured. Formalin-fixed, paraffin-embedded tissues were prepared from xenografted tumors for subsequent <i>in situ</i> hybridization (ISH) or immunohistochemistry (IHC) staining.</p

    LOC401317 inhibits HNE2 cell growth by promoting cell cycle arrest and cellular apoptosis.

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    <p>(<b>A</b>) Measurement of growth curves of HNE2 cells stably transfected with LOC401317 or an empty vector by MTT assays. LOC401317 overexpression inhibits HNE2 cell growth. Cell cycle distribution (<b>B</b>) and apoptosis (<b>C</b>) were determined by flow cytometry. LOC401317 arrested HNE2 cell cycling at the G0/G1 phase and induced HNE2 cell apoptosis. Data are expressed as means of 3 independent experiments ± S.D. *<i>P</i><0.05, **<i>P</i><0.01, ***<i>P</i><0.001, relative to control cells.</p

    The expression of LOC401317 and downstream effector molecules was validated in xenograft tumor tissues.

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    <p>Xenograft tumor tissues shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110674#pone-0110674-g005" target="_blank">figure 5C</a> were formalin fixed and paraffin embedded. LOC401317 expression was detected by <i>in situ</i> hybridization (ISH) using LOC401317-specific probes, while the expression of p21, cyclin E1, cyclin D1, and cleaved caspase-3 were detected by immunohistochemical (IHC) staining. LOC401317 upregulated p21, downregulated cyclin E1 and cyclin D1, and induced caspase-3 cleavage. (magnification: ×400, scale bars: 20 µm).</p

    lncRNAs that are dysregulated by TP53 overexpression.

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    <p>(<b>A</b>) A total of 133 lncRNAs were upregulated in HNE2 cells by more than 2.0-fold in at least one time point (12, 24, or 48 h post-pCMV-p53 transfection), while (<b>B</b>) 1057 lncRNAs were downregulated by more than 2.0-fold in at least 1 time point in HNE2 cells. (<b>C</b>) Detailed expression profiles of the top 30 lncRNAs that were the most significantly upregulated by <i>TP53</i> transgene expression. (<b>D</b>) Validation of 5 of the top 30 most-upregulated lncRNAs in HNE2 by qRT-PCR. Data shown reflect the means of 3 independent experiments ± S.D. *<i>P</i><0.05, **<i>P</i><0.01, ***<i>P</i><0.001. Expression data are exhibited as normalized log ratios to control time points (0 h) for each lncRNA. (<b>E</b>) Validation of LOC401317 expression in HNE1 and CNE2 cells following TP53 transfection by qRT-PCR. Data shown reflect the mean of 3 independent experiments ± S.D. **<i>P</i><0.01, ***<i>P</i><0.001. Expression data were normalized to control time points (0 h).</p

    <i>TP53</i> overexpression in HNE2 cells.

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    <p>HNE2 cells were transfected with a <i>TP53</i> expression vector (the pCMV-p53 plasmid). Levels of (<b>A</b>) <i>TP53</i> mRNA transcripts and (<b>B</b>) p53 protein expression were determined at 0–48 h post-transfection by qRT-PCR and western blotting, respectively. (<b>C</b>) To measure p53 transcriptional activity, the pCMV-p53 and the pp53-TA-luc plasmids were cotransfected into HNE2 cells, and transcriptional activity of p53 from 0–48 h post-transfection was determined by luciferase assays. Similarly, induction of (<b>D</b>) MDM2 mRNA transcripts and (<b>E</b>) MDM2 protein expression in HNE2 were also determined in HNE2 pCMV-p53 transfectants by qRT-PCR and western blotting. GAPDH protein expression was detected as a loading control for p53 and MDM2 western blots. Data shown are representative of 3 independent experiments. Bar graphs show mean ± S.D. **<i>P</i><0.01, ***<i>P</i><0.001.</p
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