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Background Bronchopulmonary dysplasia (BPD) is a common and serious complication of extremely preterm birth. Given the anti-inflammatory properties, docosahexaenoic acid (DHA) supplementation has been proposed as a strategy for the management of BPD. This study aimed to investigate the effects of DHA supplementation on BPD based on a systematic review.Methods A comprehensive literature search was conducted using ClinicalTrials.Gov, CINAHL, Cochrane Library, EMBASE, MEDLINE, PubMed, and the WHO ICTRP from their respective dates of inception to June 2017. The studies included were randomized controlled trials (RCTs) that enrolled preterm infants less then 33 weeks of gestational age. Trials were included if DHA supplementation was compared with a control.Results Four RCTs from five reports (1,966 neonates) met our inclusion criteria. The meta-analysis of these studies showed that DHA supplementation did not decrease the risk of BPD at 36 weeks of postmenstrual age among preterm infants (low certainty of evidence). DHA supplementation did not significantly reduce the risk of other neonatal morbidities including death (low certainty of evidence), BPD at 28 days of life (moderate certainty of evidence), necrotizing enterocolitis (low certainty of evidence), intraventricular hemorrhage, severe retinopathy of prematurity, or sepsis.Conclusion DHA supplementation may not exert significant clinical benefits in the treatment of BPD and other neonatal morbidities.Objective Polycystic ovarian syndrome is a complex reproductive as well as endocrinological disorder characterized by anovulatory dysfunction, androgen excess and polycystic ovarian morphology. Hyperandrogenism is regarded as a cardinal feature of the disease. It is believed that the excess androgens are produced due to abnormality in steroid biosynthesis pathway wherein cytochrome P450, 17α-hydroxylase (CYP17) plays an imperative role. Therefore the objective of the present study was to analyze the T/C polymorphism in 5'UTR of CYP17 gene for its association with PCOS and hyperandrogenism in Kashmiri population. Method A total of 700 subjects which included 394 PCOS patients and 306 healthy controls were recruited for the study. Their anthropometric, biochemical and hormonal parameters were analyzed. DNA was extracted followed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) to analyze the relationship of CYP17 gene polymorphism with PCOS and hyperandrogenism in PCOS. Results and conclusion The allelic as well as genotypic distribution did not show any significant difference between the cases and controls. However, PCOS patients with mutant genotype had significantly higher level of total testosterone and clinical features like FG score, alopecia than those of wild and heterozygous genotype, indicating association with hyperandrogenism in our Kashmiri population.Introduction Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease involving both upper and lower motor neurons and resulting in increasing disability and death 3-5 years after onset of symptoms. Over 40 large clinical trials for ALS have been negative, except for Riluzole that offers a modest survival benefit, and Edaravone that modestly reduces disease progression in patients with specific characteristics. Thus, the discovery of efficient disease modifying therapy is an urgent need. Areas covered Although the cause of ALS remains unclear, many studies have demonstrated that neuroinflammation, proteinopathies, glutamate-induced excitotoxicity, microglial activation, oxidative stress, and mitochondrial dysfunction may play a key role in the pathogenesis. This review highlights recent discoveries relating to these diverse mechanisms and their implications for the development of therapy. see more Ongoing phase 2 clinical trials aimed to interfere with these pathophysiological mechanisms are discussed. Expert opinion This review describes the challenges that the discovery of an efficient drug therapy faces and how these issues may be addressed. With the continuous advances coming from basic research, we provided possible suggestions that may be considered to improve performance of clinical trials and turn ALS research into a 'fertile ground' for drug development for this devastating disease.Aim To investigate the mechanism of small nucleolar RNA host gene 1 (SNHG1) in cervical cancer (CC). Methods The expression of SNHG1, miR-194 and human cervical cancer oncogene (HCCR) in CC tissues and cells was detected using qRT-PCR and western blot. The interaction among the three molecules was measured using dual-luciferase reporter assay and RNA immunoprecipitation assay. The function of SNHG1 in CC cells was detected by CKK-8 assay and flow cytometry analysis. Results SNHG1 was highly expressed in CC tissues and CC cell lines. Knockdown of SNHG1 inhibited CC cell proliferation and enhanced the ability of cell apoptosis. Mechanism investigation revealed that SNHG1 modulated HCCR expression via acting as a competing endogenous RNA of miR-194. Moreover, miR-194 inhibitor changed the effects of si-SNHG1 on CC cells growth. In vivo experiment, silencing of SNHG1 suppressed CC tumor growth by modulating miR-194/HCCR axis. Conclusion Knockdown of SNHG1 inhibited CC progression by targeting HCCR via sponging with miR-194.Objectives To add to the growing evidence on SARS-CoV-2 infection during pregnancy, so as to better inform clinical decision making and optimize patient outcomes. Methods A systematic search of relevant databases was perfomed on 25 March 2020 and a repeat search, on 10 April 2020. Reports of pregnant patients with SARS-CoV-2 infection at any time during their pregnancy were reviewed and summarized . Results We summarized the outcomes of a total of 155 pregnant women and 118 neonates. The evidence suggests a similar rate of severe COVID-19 cases in pregnant women and the general population. The frequency of cesarean deliveries is high, against guidelines recommendations. Conclusion Limited data on COVID-19 during preganacy, associated with a wide variation in the methodology make accurate data interpretation difficult.

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