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Risk factors for type 2 diabetes mellitus (T2DM) consist of a combination of an unhealthy, imbalanced diet and genetic factors that may interact with each other. Single nucleotide polymorphism (SNP) in the prospero homeobox 1 (PROX1) gene is a strong genetic susceptibility factor for this metabolic disorder and impaired β-cell function. As the role of this gene in T2DM development remains unclear, novel approaches are needed to advance the understanding of the mechanisms of T2DM development. Therefore, in this study, for the first time, postprandial changes in plasma metabolites were analysed by GC–MS in nondiabetic men with different PROX1 genotypes up to 5 years prior to prediabetes appearance. Eighteen contestants (12 with high risk (HR) and 6 with low risk (LR) genotype) participated in high-carbohydrate (HC) and normo-carbohydrate (NC) meal-challenge tests. Our study concluded that both meal-challenge tests provoked changes in 15 plasma metabolites (amino acids, carbohydrates, fatty acids and others) in HR, but not LR genotype carriers. Postprandial changes in the levels of some of the detected metabolites may be a source of potential specific early disturbances possibly associated with the future development of T2DM. Thus, accurate determination of these metabolites can be important for the early diagnosis of this metabolic disease.

Adipose tissue has been the subject of research for a very long time. Many studies perform a comprehensive analysis of different types of adipose tissue with an emphasis on brown adipose tissue. Mass spectrometry-based approaches are particularly useful in the exploration not only of the metabolic composition of adipose tissue but also its function. In the presented review, a complex and critical overview of publications devoted to the analysis of adipose tissue by means of mass spectrometry was performed. Detailed investigation of analytical aspects related to either untargeted or targeted analysis of adipose tissue was performed, leading to the formation of a collection of hints at the available analytical methods. Moreover, a profound analysis of the metabolic composition of brown adipose tissue was performed. Brown adipose tissue metabolome was characterized on structural and functional levels, providing information about its exact metabolic composition but also connecting these molecules and placing them into biochemical pathways. All our work resulted in a very broad picture of the analysis of adipose tissue, starting from the analytical aspects and finishing on the current knowledge about its composition.

The aim of this study was to investigate the dissipation of spirotetramat and its four metabolites (B-enol, B-keto, B-mono and B-glu) in different parts of vegetables belong to the minor crops (Appiacea and Brassicaceae) and soil from cultivation. The challenge of this study was to apply an optimized clean up step in QuEChERS to obtain one universal sorbent for different complex matrices like leaves with high levels of pigments, roots containing acids, sugars, polyphenolls and pigments and soil with organic ingredients. Eight commercial (Florisil, neutral alumina, GCB, PSA, C18, diatomaceous earth, VERDE and ChloroFiltr) and one organic (Chitosan) sorbents were tested. A modified clean up step in QuEChERS methodology was used for analysis. The dissipation of spirotetramat and its metabolites was described according to a first-order (FO) kinetics equation with R2 between 0.9055 and 0.9838. The results showed that the time after 50% (DT50) of the substance degraded was different for soil, roots and leaves, and amounted to 0.2day, 2.8-2.9days and 2.1-2.4days, respectively. The terminal residues of spiroteramat (expressed as the sum of spirotetramat, B-enol, B-glu, B-keto and B-mono) were much lower than the MRLs.

The presence of pesticide residues in fruit is a serious health concern. This paper for the first time demonstrated the Hazard Index (HI) method to carry out acute, chronic and cumulative health risk assessment to the 14 groups of insecticides for three subpopulations. The challenge of this study was to present results from a long period of research (years 2005-2014) with toxicological aspects, especially in multiresidue samples. Near 1000 fresh pome, stone, berries and small fruit were prepared by two accredited MSPD and QuEChERS methods followed by liquid and gas chromatography analyses with various systems of detection ECD/NPD/MS/MS. Twenty percent of the fruit samples contained 16 insecticide residues in the range of 0.01-0.81mg/kg and 3% over MRL. The class of pesticide with the highest contribution to the ADI was found to be OPPs: dimethoate and diazinon for adults 48% and 66% of the ADI whereas for infants 144% and 294% of the ADI. The highest contributions of the cHQ to common MoA pesticides were AChE inhibitors: 135% for adults and 528% for infants, sodium channel modulators 4.9% and 20%, nicotic acetylocholine receptor

Understanding the behavior of pesticides used during fruit cultivation is important for effectively and safety applying to minimize the risk exposure of consumer. The aim of this study was estimated the level of pesticide in 80 apple samples collected from the South Kazakhstan. Additionally, the peel and pulp was investigated. Around 50% samples contained 24 pesticides, ranging 0.006–0.62, 0.005–0.46 and 0.02–1.38 mg/kg in whole apples, pulp and peel, respectively. The penetration factor pesticide peel/pulp was calculated and ranged 1.7–10.9 for kresoxim methyl and triazophos, respectively. Acute (aHI) and cumulative (cHQ) exposure health risks associated with consuming these pesticides in whole fruit, pulp and skin were estimated. The triazophos, chlorpiryfos and cyhalothrin exceeded safety ARfD: 830, 136 and 112% for adults, whereas for infants 4514, 742 and 609%. The cHQ exposure were the highest in peel for AChE inhibitors: 999%, and sodium channel modulators 123% for adults.

This paper presents, for the first time, results for chlorpyrifos (CHLP) in Polish fruits and vegetables over the course of a long period of research, 2007–2016, with toxicological aspects. The challenge of this study was to re–evaluate the impact of chlorpyrifos residues in fruit and vegetables on health risk assessed via acute and chronic exposure based on old and new, lower, established values of: Average Daily Intakes (ADIs)/Acute Reference Doses (ARfDs) and Maximum Residue Levels (MRLs). A total of 3 530 samples were collected, and CHLP in the range of 0.005–1.514 mg/kg was present in 10.2% of all samples. The MRL was exceeded in 0.7% of all samples (MRL established in 2009–2015), and recalculation yielded a much greater number of violations for the new MRL (2016), which exceeded 2.9% of all samples. Acute exposure to CHLP calculated according to the old, higher toxicological data (0.10 mg/kg bw/day), does not exceed 14% of its respective ARfDs for adults and both groups of children, but when calculated for incidental cases according to the current value (ARfD 0.005 mg/kg bw) for infants and toddlers, was above 100% of its respective ARfDs in: white cabbage (263.65% and 108.24%), broccoli (216.80% and 194.72%) and apples (153.20% and 167.70%). The chronic exposure calculated for both newly established ADI values (0.001 mg/kg bw/day and 0.100 mg/kg bw/day) appears to be relatively low for adults and children.

Extensive use of pesticides in agriculture can lead to contamination of fruit harvests and an increased risk of toxic effects on humans. A total of 123 fruit samples harvested in 2012 in the north-eastern region of Poland were analysed for pesticide residues as part of the national monitoring programme, and as part of research commissioned by private customers. Pesticide residues were found in 64.2% of the samples. There were pesticide residues below the maximum residue level (MRL) in 63 (51.2%) of the samples, while 16 (13%) exceeded MRLs set by Regulation (EC) 396/2005. The gooseberry, currant, and strawberry samples showed the most contamination. The most frequently detected pesticides were dithiocarbamates (54) followed by difenoconazole (22), boscalid (17), and alpha-cypermethrin (15). More than half of analysed samples had multiple residues (up to 8 residues), with multiple residues most common in gooseberry and currant samples. This study shows cases of non-authorised pesticide use by farmers who are trying to protect certain fruit.

For the first time three methods: matrix solid phase dispersion (MSPD), original and modified QuEChERS, with and without clean up step were studied in order to evaluate the extraction efficiency of various classes of pesticides from solid and liquid high sucrose content matrices. Determinations over four hundred pesticides were performed by gas and liquid chromatography with triple quadrupole mass spectrometry (GC/LC/MS/MS) using multiple reaction monitoring. The proposed methods were validated on sugar beets and their technological product beet molasses. In general, the recoveries obtained for the original QuEChERS and MSPD method were lower (

Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities around the globe. A great number of biochemical changes have been proposed to occur at metabolic levels between perturbed glucose, amino acid, and lipid metabolism to finally diagnoe diabetes mellitus. This window period, which varies from person to person, provides us with a unique opportunity for early detection, delaying, deferral and even prevention of diabetes. The early detection of hyperglycemia and dyslipidemia is based upon the detection and identification of biomarkers originating from perturbed glucose, amino acid, and lipid metabolism. The emerging “OMICS” technologies, such as metabolomics coupled with statistical and bioinformatics tools, proved to be quite useful to study changes in physiological and biochemical processes at the metabolic level prior to an eventual diagnosis of DM. Approximately 300–400 such metabolites have been reported in the literature and are considered as predicting or risk factor-reporting metabolic biomarkers for this metabolic disorder. Most of these metabolites belong to major classes of lipids, amino acids and glucose. Therefore, this review represents a snapshot of these perturbed plasma/serum/urinary metabolic biomarkers showing a significant correlation with the future onset of diabetes and providing a foundation for novel early diagnosis and monitoring the progress of metabolic syndrome at early symptomatic stages. As most metabolites also find their origin from gut microflora, metabolism and composition of gut microflora also vary between healthy and diabetic persons, so we also summarize the early changes in the gut microbiome which can be used for the early diagnosis of diabetes.