ABSTRACT
Objective To investigate the metabolic effects of glucose dependent insulinotropic peptide receptor antagomst pro3 (GIP) in induced diabetes mice about blood glucose,triglyceride,cholesterol,leptin and fatty issue.Methods 27 C57 mice were randomly divided into normal group and diabetes mice group,and the mice in diabetes group were fed with high fat food and intraperitoneal injected streptozocin.Then 1 mouse that random blood giucose lower than 16.9 mmol/L was deleted in diabetes group.The rest mice in diabetes group were divided into two groups,diabetes control group,pro3 (GIP) group.Pro3 (GIP) group was given drug pro3 (GIP).The bloodglucose and glucose tolerance were measured.After treatment for 6 weeks,all mice were sacrificed and fatty tissues were collected.Results After 6 weeks,the blood glucose of the pro3 (GIP) group was obviously lower than diabetes control group (t=8.43,P＜0.01),and insulin levers in 0,30,60 and 120 min were obviously lower than diabetes control group (t =3.90,2.60,6.88 and 3.33,P＜0.05).There was significant difference between pro3 (GIP) group and diabetes control group about inflammatory cells.Moreover,leptin in pro3 (GIP) group was obviously lower than in diabetes control group (t =5.04,P＜0.01),but triglyceride,cholesterol,and adiponectin had no significant difference between two groups.Conclusion Pro3 (GIP) can significantly reduce blood glucose,insulin level,leptin of diabetes mice,and attenuate the inflammatory cells infiltration in fatty issue.
ABSTRACT
OBJECTIVE: The association between Chlamydia pneumoniae infection and lung cancer risk was not clear with small number of cases in each study. The aim of this meta‑analysis was to evaluate the correlation between pneumonia infection and lung cancer risk by pooling the open published papers. MATERIALS AND METHODS: We searched the electronic databases of Medline, EMBASE, Web of Science, and China National Knowledge Infrastructure databases for publications related to the association between pneumonia infection and lung cancer risk. Odds ratio (OR) and its 95% confidence interval (95% CI) was used to assess the correlation. The data were pooled by Stata11.0 software (Stata Corporation, College Station, TX, USA). RESULTS:Thirteen publications, involving 2549 lung cancer patients and 2764 controls were included in this meta‑analysis. The pooled results indicated that the C. pneumoniae infection significant increased the risk of lung cancer OR = 2.07 (95% CI: 1.43–2.99) by random effect model. And for serum IgG, 12 publications reported the IgG positive rate in lung cancer patients and relative healthy controls. The pooled OR was 2.22 (95% CI: 1.41–3.50) by using the random effects model which indicated that the IgG positive rate was significantly higher in lung cancer patients than that of healthy controls. The sensitivity analysis indicated the pooled OR was not sensitive to a single study. However, Begger’s funnel plot and Egger’s line regression analysis indicated significant publications bias for this meta‑analysis. CONCLUSIONS: According to the present published data, C. pneumoniae infection may increase the risk of lung cancer. However, for its significant publications and heterogeneity among the included studies, the conclusion should be interpreted cautiously.
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OBJECTIVE: Long noncoding ribonucleic acids (RNAs) nowadays emerge as important biomarkers or potential therapeutic targets discussed in human cancers. Among them, maternally expressed gene 3 (MEG3) is known to be decreased in a variety of malignancies. MATERIALS AND METHODS: Quantitative reverse transcription‑polymerase chain reaction (qRT‑PCR) was performed to detect the expression of MEG3 in forty pairs of lung cancer (LC) tissues. Overexpression of MEG3 was carried out, and we determined its effect on cell proliferation, apoptosis, and migration evaluated by cell counting kit‑8, flow cytometric, and transwell analysis. Messenger RNA and protein expression of MYC were determined by qRT‑PCR and western blot, respectively. RESULTS: The expression of MEG3 was downregulated in LC tissues. Forced expression of MEG3 led to reduced abilities of cell proliferation and elevated apoptosis rate. It also slightly inhibited cell migration capacity in vitro. In addition, MYC was inhibited by MEG3 overexpression at both transcriptional and translational levels. CONCLUSION: Our findings revealed MEG3 could regulate LC progression and serve as an important target for LC treatment.
ABSTRACT
The testicular feminized (Tfm) mouse carries a nonfunctional androgen receptor (AR) and reduced circulating testosterone levels. We used Tfm and castrated mice to determine whether testosterone modulates markers of aging in cardiomyocytes via its classic AR-dependent pathway or conversion to estradiol. Male littermates and Tfm mice were divided into 6 experimental groups. Castrated littermates (group 1) and sham-operated Tfm mice (group 2, N = 8 each) received testosterone. Sham-operated Tfm mice received testosterone in combination with the aromatase inhibitor anastrazole (group 3, N = 7). Castrated littermates (group 4) and sham-operated untreated Tfm mice (group 5) were used as controls (N = 8 and 7, respectively). An additional control group (group 6) consisted of age-matched non-castrated littermates (N = 8). Cardiomyocytes were isolated from the left ventricle, telomere length was measured by quantitative PCR and expression of p16INK4α, retinoblastoma (Rb) and p53 proteins was detected by Western blot 3 months after treatment. Compared with group 6, telomere length was short (P < 0.01) and expression of p16INK4α, Rb and p53 proteins was significantly (P < 0.05) up-regulated in groups 4 and 5. These changes were improved to nearly normal levels in groups 1 and 2 (telomere length = 0.78 ± 0.05 and 0.80 ± 0.08; p16INK4α = 0.13 ± 0.03 and 0.15 ± 0.04; Rb = 0.45 ± 0.05 and 0.39 ± 0.06; p53 = 0.16 ± 0.04 and 0.13 ± 0.03), but did not differ between these two groups. These improvements were partly inhibited in group 3 compared with group 2 (telomere length = 0.65 ± 0.08 vs 0.80 ± 0.08, P = 0.021; p16INK4α = 0.28 ± 0.05 vs 0.15 ± 0.04, P = 0.047; Rb = 0.60 ± 0.06 vs 0.39 ± 0.06, P < 0.01; p53 = 0.34 ± 0.06 vs 0.13 ± 0.03, P = 0.004). In conclusion, testosterone deficiency contributes to cardiomyocyte aging. Physiological testosterone can delay cardiomyocyte aging via an AR-independent pathway and in part by conversion to estradiol.