Zimmermanndalsgaard0135

gryphiswaldense. By analysis of 24 deletion mutants covering about 167 kb of non-redundant genome content, we identified genes and regions inside and outside the MAI irrelevant for magnetosome biosynthesis. A contiguous stretch of ~ 100 kb, including the scattered mam and mms6 operons, could be functionally substituted by a compact and contiguous ~ 38 kb cassette comprising all essential biosynthetic gene clusters, but devoid of interspersing irrelevant or problematic gene content.

Our results further delineate the genetic complement for magnetosome biosynthesis and will be useful for future large-scale genome editing and genetic engineering of magnetosome biosynthesis.

Our results further delineate the genetic complement for magnetosome biosynthesis and will be useful for future large-scale genome editing and genetic engineering of magnetosome biosynthesis.

Multimodal exercise training (MT) as a time-efficient training modality promotes a wide range of physical dimensions. Incorporating agility-like training aspects (coordination, changes of direction and velocity) into MT may further enhance physical outcomes highly relevant for activities of daily living. This meta-analysis investigated the effects of multimodal agility-like exercise training (MAT) on physical and cognitive performance compared to inactive (IC) and active controls (AC) in older adults.

Literature search was conducted in four health-related databases (PubMed, SCOPUS, SPORTDiscus and Web of Science). BAI1 Randomized controlled trials with pre-post testing applying MAT (including aspects of training with at least two different traditional domains strength, balance, endurance) and an agility-like component in community-dwelling older adults were screened for eligibility. Standardized mean differences (SMD) adjusting for small sample sizes (hedges' g) were used to extract main outcomes (strength, gat training modality to induce positive effects in different physical domains. Compared to isolated training, MAT allows equal effect sizes at lower overall training volumes. More studies are needed to investigate the potential value of MAT with systematic training and load control, especially compared to other exercise-based interventions.

Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose a method called Sparse Tropical Matrix Factorization (STMF) for the estimation of missing (unknown) values in sparse data.

We evaluate the efficiency of the STMF method on both synthetic data and biological data in the form of gene expression measurements downloaded from The Cancer Genome Atlas (TCGA) database. Tests on unique synthetic data showed that STMF approximation achieves a higher correlation than non-negative matrix factorization (NMF), which is unable to recover patterns effectively. On real data, STMF outperforms NMF on six out of nine gene expression datasets. While NMF assumes normal distribution and tends toward the mean value, STMF can better fit to extreme values and distributions.

STMF is the first work that uses tropical semiring on sparse data. We show that in certain cases semirings are useful because they consider the structure, which is different and simpler to understand than it is with standard linear algebra.

STMF is the first work that uses tropical semiring on sparse data. We show that in certain cases semirings are useful because they consider the structure, which is different and simpler to understand than it is with standard linear algebra.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that has turned out to be a pandemic all over the world. In China, some traditional Chinese herbal formulas have enjoyed a high reputation in T2DM treatment for centuries.

In this study, ShenQi compound (SQC) is proposed, a formula that has been performed on T2DM clinical therapeutics in China for many years. The efficacy of SQC in a diabetic rat model by measuring food and water intake and examining islet microcirculatory index involves islets microvessel quantity and density, islets size, pancreatic microvascular wall thickness is evaluated. Meanwhile, gene microarray experiments were performed to explore the molecular mechanism of SQC treatment. In addition, a western medicine, metformin, was employed as a comparison.

The results indicated that SQC could effectively improve polydipsia, polyphagia and weight loss caused by diabetes as well as pancreatic tissue damage and vascular injury for T2DM. Meanwhile, the gene microarray experiments indicated that SQC may improve the T2DM by affecting the biological functions related to detection of chemical stimulus involved in sensory perception of smell, G-protein coupled receptor signaling pathway, cytoplasmic translation. In addition, SQC presented curative effect by the regulated function associated with translation, while metformin presented curative effect by the regulated function associated coagulation.

SQC is an effective therapeutic drug on T2DM, and presents curative effect by regulated function associated with translation.

SQC is an effective therapeutic drug on T2DM, and presents curative effect by regulated function associated with translation.

Non-alcoholic fatty liver disease (NAFLD) is associated with inflammation and subsequent increase in cardiovascular risk. Because of its widespread presence and distribution, invasive diagnostic procedures (i.e., liver biopsy) are reserved for a limited number of subjects. With liver ultrasound, Fatty liver index (FLI) and fibrosis-4 (FIB-4) scores non-invasively assess liver steatosis and fibrosis. We aimed to evaluate the changes in inflammatory markers and FLI/FIB-4 scores in non-obese metformin-treated type 2 diabetes patients (T2DM) with NAFLD.

All subjects underwent abdominal ultrasound aiming for NAFLD stratification (grade 1 to 3 according to its severity). Metabolic parameters (morning glycaemia, HbA1C, lipids, liver function tests), serum inflammatory markers (C-reactive protein, ferritin, and nitric oxide) and FLI/- FIB-4 were calculated.

FLI score and ultrasound NAFLD grades were found to correlate (p<0.05). We observed a significant correlation between the levels of ferritin and C-reactive protein (CRP) (p<0.