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The present study was conducted to examine antidiabetic effects of

ethanolic extract [

] and to investigate its effects on oxidative stress markers and the expression of TLR4, S100A4, Bax and Bcl-2 genes in the kidney of STZ-induced diabetic rats.

Thirty six rats (weight 200-250g) were randomly divided into diabetes and control groups. Induction of diabetes was performed using STZ (55mg/kg.bw). Biochemical parameters and oxidative stress markers (SOD and MDA) were measured using spectrophotometry after 60days of treatment. The expression of TLR4, S100A4, Bax and Bcl-2 were analyzed by real-time PCR. One-way analysis of variance (ANOVA) and Bonferroni post hoc test were used to compare the data.

Diabetes significantly impairs the serum fasting blood glucose (FBG), lipid profile, urea, creatinine and albumin. At the end of treatment with

extract, these parameters were close to the normal range. The results showed that the

extract significantly decreased the kidney expression of TLR4, S100A4, Bax and increased the expression of Bcl-2 and improved oxidative stress markers (SOD and MDA) in the kidney tissues of treated rats. Also, all of these beneficial effects of the

were dose-dependent.

The extract of

possesses antidiabetic effects.

decreased the expression of TLR4, S100A4, Bax and increased the expression of Bcl-2 and improved oxidative stress. Therefore, this herbal extract can be used as an adjuvant treatment for diabetic complications.

The extract of A. absinthium possesses antidiabetic effects. A. absinthium decreased the expression of TLR4, S100A4, Bax and increased the expression of Bcl-2 and improved oxidative stress. Therefore, this herbal extract can be used as an adjuvant treatment for diabetic complications.

Breast cancer is known as one of the deadliest forms of cancer, and it is increasing globally. There are a variety of proven and controversial risk factors for this malignancy. Herein, we aimed to undertake a systematic review and meta-analysis focus on the epidemiology of breast cancer risk factors in Iran.

We performed a systematic search via PubMed, Scopus, Web of Science, and Persian databases for identifying studies published on breast cancer risk factors up to March 2019. Meta-analyses were done for risk factors reported in more than one study. We calculated odds ratios (ORs) with corresponding 95% confidence intervals (CIs) using a fixed/random-effects models.

Thirty-nine studies entered into the meta-analysis. Pooling of ORs showed a significant harmful effect for risk factors including family history (OR 1.80, 95%CI 1.47-2.12), hormonal replacement therapy (HRT) (OR 5.48, 95%CI 0.84-1.74), passive smokers (OR 1.68, 95%CI 1.34-2.03), full-term pregnancy at age 30 (OR 3.41, 95%CI 1.19-5.63), aborrity, 13-24 months breastfeeding, daily exercise and vegetable consumption had an inverse association with breast cancer development.The 4th version of the guide to the Register for European Specialists in Laboratory Medicine (EuSpLM) established by the European Communities Confederation of Clinical Chemistry and Laboratory Medicine describes the transfer of the register to the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) in 2016, the extension in 2018 of the Register beyond the European Union to Europe and the benefits of membership of the EFLM Academy to which the Register transferred on the Academy's launch in 2019. The Academy offers EuSpLM registrants access to benefits that include reduced registration rates at selected conferences and free subscription to Clinical Chemistry and Laboratory Medicine. With effect from 2020 eligibility was extended to anyone with an interest in laboratory medicine. The updated guide describes the electronically driven processes for individual membership and block enrolment from national societies/organisations, and the stepping stones to recognition as an EuSpLM within the Academy. Whilst eligibility for recognition as an EuSpLM remains largely unchanged new expectations across Europe in education, training, professional regulation and qualifications are reflected in updated criteria. The continuing driver for establishing the Academy and growing the EFLM Register reflects the federation's leadership role in the harmonisation of high quality education and training for those with an interest in laboratory medicine as well as ongoing initiatives to establish a Common Training Framework for Specialists in Laboratory Medicine under EU Directive 2013/55/EC (The Recognition of Professional Qualifications).

The utilization of reliable quality indicators (QIs) proven to be suitable for monitoring and improvement tools is one of the best choices to minimize of the risk of errors in all laboratory processes called as total testing process (TTP). In 2008, a Working Group "Laboratory Errors and Patient Safety" (WG-LEPS) established by International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) developed the Model of Quality Indicators (MQI) complying with requirements of the ISO 151892012 standard for laboratory accreditation. PARP inhibitor They have also been dealing with harmonizing the QIs in most laboratories worldwide since then. The present study was set out to investigate the frequency of using IFCC WG-LEPS' pre-QIs by Turkish laboratories and to assess the conformity of them, by taking into account Turkey's conditions.

A survey consisting nine questions was applied in 81 laboratories using SurveyMonkey.

According to the survey results, most of the laboratories reported they have used pre-QIs in the compatible with IFCC WG-LEPS' pre-QIs. The definitions of IFCC WG-LEPS' pre-QIs may also be revised to make them more clear and understandable by IFCC WG-LEPS. The insufficiency of Health Information Management Systems (HIMS) limits the use of pre-QIs proposed by IFCC WG-LEPS. Finally, the education of relevant personnel about the use of HIMS and pre-QIs is very crucial to harmonize and to extend the use of IFCC WG-LEPS' pre-QIs in Turkish medical biochemistry laboratories.

The rRT-PCR test, the current gold standard for the detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage of reagents, false-negative rates around 15-20%, and expensive equipment. The hematochemical values of routine blood exams could represent a faster and less expensive alternative.

Three different training data set of hematochemical values from 1,624 patients (52% COVID-19 positive), admitted at San Raphael Hospital (OSR) from February to May 2020, were used for developing machine learning (ML) models the complete OSR dataset (72 features complete blood count (CBC), biochemical, coagulation, hemogasanalysis and CO-Oxymetry values, age, sex and specific symptoms at triage) and two sub-datasets (COVID-specific and CBC dataset, 32 and 21 features respectively). 58 cases (50% COVID-19 positive) from another hospital, and 54 negative patients collected in 2018 at OSR, were used for internal-external and external validation.

We developed five ML models for the complete OSR dataset, the area under the receiver operating characteristic curve (AUC) for the algorithms ranged from 0.