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Krill oil ameliorates benign prostatic hyperplasia by regulating G-phase cell cycle arrest and altering signaling pathways and benign prostatic hyperplasia-associated markers

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Food Science and Human Wellness 2023年

作者： Hoon Kim Jongyeob Kim Byungdoo Hwang Sang Yong Park Ji-Yeon Shin Eun Byeol Go Jae Sil Kim Youngjin Roh Soon Chul Myung Seok-Joong Yun Yung Hyun Choi Wun-Jae Kim Sung-Kwon Moon Department of Biochemistry College of Oriental Medicine Dongeui University Institute of Urotech Cheongju Department of Urology Chungbuk National University Cheongju sd biotechnologies 66 Magojungang 8-ro 1-gil Gangseo-gu Department of Food and Nutrition Chung-Ang University Department of Urology College of Medicine Chung-Ang University

Krill oil (KO) exhibits various biological activities， such as anti-inflammatory and antitumor effects. However， the inhibitory effects of benign prostatic hyperplasia (BPH) in vitro and in vivo have not yet been studied. This study investigated the anti-BPH effects of KO extracted by an enzymatic hydrolysis method. KO treatment inhibited the proliferation of WMPY-1 and BPH-1 cells by induction of G0/G1phase arrest through the modulation of positive and negative regulators in both prostate cell types. KO treatment stimulated phosphorylation of JNK and p38 signaling. In addition， KO changed the expression of BPH-related markers (5α-reductase， androgen receptor， FGF， Bcl-2， and Bax) and the activity of the proliferation-mediated NF-κB binding motif. KO-induced levels of proliferation-mediated molecules of prostate cells were attenuated in the presence of siRNA-specific p-38 (si-p38) and JNK (si-JNK). Furthermore， the administration of KO alleviated prostate size and weight and the cell layer thickness of prostate glands in a testosterone enanthate-induced BPH rat model. KO treatment altered the level of dihydrotestosterone in serum and the expression levels of BPH-related markers in prostate tissues. Finally， KO-mediated inhibition of prostatic growth was validated by histological analysis. These results suggest that KO has an inhibitory effect on BPH in prostate cells in vitro and in vivo. Thus， KO might be a potential prophylactic or therapeutic agent for patients with BPH.

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How to impute study-specific standard deviations in metaanalyses of skewed continuous endpoints?

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World Journal of Meta-Analysis 2015年第5期3卷 215-224页

作者： Teresa Greco Giuseppe Biondi-Zoccai Marco Gemma Claude Guérin Alberto Zangrillo Giovanni Landoni Laboratorio di Statistica Medica Biometria ed Epidemiologia "G.A.Maccacaro" Dipartimento di Scienze Cliniche e di Comunità University of Milan Anaesthesia and Intensive Care Department IRCCS San Raffaele Scientific Institute Department of Medico-Surgical Sciences and biotechnologies Sapienza University of Rome Eleonora Lorillard Spencer Cenci Foundation Meta-analysis and Evidence Based Medicine Training in Cardiology (METCARDIO) Medical Intensive Care Hospital de La Croix Rousse

AIM: To compare four methods to approximate mean and standard deviation(sd) when only medians and interquartile ranges are ***: We performed simulated meta-analyses on six datasets of 15, 30, 50, 100, 500, and 1000 trials, respectively. Subjects were iteratively generated from one of the following seven scenarios: five theoretical continuous distributions [Normal, Normal(0, 1), Gamma, Exponential, and Bimodal] and two real-life distributions of intensive care unit stay and hospital stay. For each simulation, we calculated the pooled estimates assembling the study-specific medians and sd approximations: Conservative sd, less conservative sd, mean sd, or interquartile range. We provided a graphical evaluation of the standardized *** show which imputation method produced the best estimate, we ranked those differences and calculated the rate at which each estimate appeared as the best, second-best, third-best, or ***: Our results demonstrated that the best pooled estimate for the overall mean and sd was provided by the median and interquartile range(mean standardized estimates: 4.5 ± 2.2, P = 0.14) or by the median and the sd conservative estimate(mean standardized estimates: 4.5 ± 3.5, P = 0.13). The less conservative approximation of sd appeared to be the worst method, exhibiting a significant difference from the reference method at the 90% confidence level. The method that ranked first most frequently is the interquartile range method(23/42 = 55%), particularly when data were generated according to the Standard Normal, Gamma, and Exponential distributions. The second-best is the conservative sd method(15/42 = 36%), particularly for data from a bimodal distribution and for the intensive care unit stay variable. CONCLUSION: Meta-analytic estimates are not significantly affected by approximating the missing values of mean and sd with the correspondent values for median and interquartile range.

关键词：英文文摘荟萃杂志

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