فهرست مطالب neda emami

The qualitative analysis of adipose tissue (AT) is an exciting area for research and clinical applications in several diseases and it is emerging along with the quantitative approach to research on overweight and obese people. While the importance of steroid metabolism in women with polycystic ovary syndrome (PCOS) has been reported, limited data exists on the effective roles of AT in pregnant women suffering from PCOS. The aim of this study was to determine association of fatty acid (FA) profiles with expression of 14 steroid genes in abdominal subcutaneous AT of PCOS vs. non-PCOS pregnant women.

In this case-control study, the AT samples of 36 non-PCOS pregnant women and 12 pregnant women with PCOS (3:1 ratio control: case) who underwent cesarean section were collected. Relationship of expressing gene targets and different features were performed using Pearson correlation analysis on the R 3.6.2 software. The ggplot2 package in R tool was used to draw the plots.

Age (31.4 and 31.5 years, P=0.99), body mass index (BMI) (prior pregnancy 26 and 26.5 kg.m-2, P=0.62) and at delivery day (30.1 and 31, P=0.94), gestational period (264 and 267 days, P=0.70) and parity (1.4 and 1.4, P=0.42) of non-PCOS and PCOS pregnant women were similar. Expression of steroidogenic acute regulator (STAR) and 11β-Hydroxysteroid dehydrogenase (11BHSD2) in non-PCOS pregnant women showed the highest association with eicosapentaenoic acid (EPA, C20:5 n-3, r=0.59, P=0.001) and (r=0.66, P=0.001), respectively. In the all participants, STAR mRNA level showed the greatest association with the EPA fatty acid concentration (P=0.001, r=0.51).

Our results showed a link between the genes involved in steroid metabolism and fatty acids in AT of pregnant women, especially for omega-3 FA and the gene involved in the first step of steroidogenesis in subcutaneous AT. These findings warrant further studies.

Integrati on of rapidly expanding high - throughput omics technologies and electronic health record (EHR) has created an unprecedented advantage in terms of acquiring routine healthcare data to accelerate genetic discovery. In this regard, EHR can also provide several important advantages to omics research if the integration challenges are well handled. The main purpose of the present study was to review available and published knowledge in the related literature and then to classify and discuss stakeholders’ requireme nts in this domain.

At first, a broad electronic search of all available literature in English was conducted on the topic through a search in the databases of Medline, Web of Science, Institute of Electrical and Electronics Engineers (IEEE), Scopus, and Cochrane. Then, stakeholders’ requirements were tabulated, and finally, a word cloud was generated and analyzed to achieve functional and non - functional cases.

A total of 81 articles were included in the given analysis. Integra tion requirements also consisted of nine functional cases including a uniform approach to the interpretation of genetic tests, standardized terminologies and ontologies, structured data entry as much as possible, an integrated online patient portal, multip le data source handling, machine - readable storing and reporting, research - oriented requirements, pharmacogenomics decision support capabilities, and phenotyping algorithms and knowledge base. Besides, there were three non - functional cases comprised of inte roperability of multiple systems, ethical, legal, security factor, and big data computations.

The main challenges in this way could also have semantic and technical themes. Therefore, system developers could guarantee the success of systems by overcoming the given challenges.

Polycystic ovary syndrome (PCOS) is one of the hormonal disorders in women. The PCOS may be due to decreased aromatase activity in adipose tissue. The aim of this study was to investigate the differences in the expression of aromatase protein in adipose tissue of pregnant women with and without PCOS.

In this case-control study, aromatase protein expression were compared in subcutaneous adipose tissue of 11 pregnant women with and 11 without PCOS who were matched with each other in terms of weight characteristics before pregnancy and age. A subcutaneous adipose tissue samples (3-4 grams) was obtained during cesarean section. The expression of aromatase protein in adipose tissue was assessed using Western blotting method. All obtained data were statistically analyzed using SAS software.

According to the analysis and quantification of the results, it was shown that the expression of aromatase protein in the subcutaneous adipose tissue of the abdomen of the group with PCOS decreased significantly compared to the non-PCOS group (P = 0.006). In other words, the expression of aromatase protein was about one-third lower in the adipose tissue of women with PCOS than in women without it.</div>

The current study shows that the expression of aromatase protein in the adipose tissue of women with PCOS is reduced. This finding could confirm the key role of adipose tissue in the development of symptoms of this syndrome.