Common Metabolic Features Research Articles

An Overview of Differential miRNA Profile of Patients with Latent Autoimmune Diabetes in Adults (LADA)

Diabetes mellitus (DM) is a metabolic and chronic disease characterized by hyperglycemia developing with impaired pancreatic beta cell activity, decreased insulin secretion, icreased insulin resistance, and accordingly impaired carbohydrate, protein and lipid metabolism. DM is classified as type 1, type 2, gestational and other forms of diabetes according to the characteristic properties such as age of onset, insulin dependency, micro- and macrovascular complications. Latent autoimmune diabetes in adults (LADA) is an autoimmune diabetes that begins in adulthood without insulin dependency for glycemic control at least in the first six months after diagnosis. Owing to the common genetic, immunologic, and metabolic features LADA is misdiagnosed with type 1 or type 2 diabetes. Therefore, it is need a biomarkers that ease the diagnosis of LADA. MicroRNAs are small non-coding RNAs involved in biological processes and regulate the response of target tissues to insulin as well as insulin production, signaling and release, insulin resistance, and glucose homeostasis. Dysregulation in miRNA expression can lead to impairment of glucose metabolism. Circulating miRNA are associated with different types of diabetes and have a potential to discriminate them. So, we reviewed the miRNAs that gene expressions levels which change in LADA compared to type 1 and type 2 diabetes.

Mergem: merging, comparing, and translating genome-scale metabolic models using universal identifiers.

Numerous methods exist to produce and refine genome-scale metabolic models. However, due to the use of incompatible identifier systems for metabolites and reactions, computing and visualizing the metabolic differences and similarities of such models is a current challenge. Furthermore, there is a lack of automated tools that can combine the strengths of multiple reconstruction pipelines into a curated single comprehensive model by merging different drafts, which possibly use incompatible namespaces. Here we present mergem, a novel method to compare, merge, and translate two or more metabolic models. Using a universal metabolic identifier mapping system constructed from multiple metabolic databases, mergem robustly can compare models from different pipelines, merge their common elements, and translate their identifiers to other database systems. mergem is implemented as a command line tool, a Python package, and on the web-application Fluxer, which allows simulating and visually comparing multiple models with different interactive flux graphs. The ability to merge, compare, and translate diverse genome scale metabolic models can facilitate the curation of comprehensive reconstructions and the discovery of unique and common metabolic features among different organisms.

Altering environmental conditions induce shifts in simulated deep terrestrial subsurface bacterial communities-Secretion of primary and secondary metabolites.

The deep terrestrial subsurface (DTS) harbours a striking diversity of microorganisms. However, systematic research on microbial metabolism, and how varying groundwater composition affects the bacterial communities and metabolites in these environments is lacking. In this study, DTS groundwater bacterial consortia from two Fennoscandian Shield sites were enriched and studied. We found that the enriched communities from the two sites consisted of distinct bacterial taxa, and alterations in the growth medium composition induced changes in cell counts. The lack of an exogenous organic carbon source (ECS) caused a notable increase in lipid metabolism in one community, while in the other, carbon starvation resulted in low overall metabolism, suggesting a dormant state. ECS supplementation increased CO2 production and SO4 2- utilisation, suggesting activation of a dissimilatory sulphate reduction pathway and sulphate-reducer-dominated total metabolism. However, both communities shared common universal metabolic features, most probably involving pathways needed for the maintenance of cell homeostasis (e.g., mevalonic acid pathway). Collectively, our findings indicate that the most important metabolites related to microbial reactions under varying growth conditions in enriched DTS communities include, but are not limited to, those linked to cell homeostasis, osmoregulation, lipid biosynthesis and degradation, dissimilatory sulphate reduction and isoprenoid production.

Common metabolic features of hypertension and type 2 diabetes.

Hypertension and type 2 diabetes frequently coexist, suggesting that the two diseases have common pathophysiological bases. This review describes the pathophysiological mechanisms of how type 2 diabetes is frequently associated with hypertension. Multiple common factors mediate between both diseases. Factors that induce both type 2 diabetes and hypertension include obesity-induced hyperinsulinemia, activation of the sympathetic nervous system, chronic inflammation, and changes in adipokines. Vascular complications resulting from type 2 diabetes and hypertension include endothelial dysfunction, vasodilation/constriction dysfunction of peripheral vessels and increased peripheral vascular resistance, arteriosclerosis, and chronic kidney disease. While many of these vascular complications are caused by hypertension, they also exacerbate the pathology of hypertension. In addition, insulin resistance in the vasculature blunts insulin-induced vasodilation and blood flow to skeletal muscle, which contributes to impaired glucose uptake to skeletal muscle and glucose intolerance. In obese and insulin-resistant patients, increase in the circulating fluid volume forms the major pathophysiology of elevated blood pressure. On the other hand, in non-obese and/or insulin-deficient patients, especially those in the middle- or later stages of diabetes, peripheral vascular resistance is the major pathophysiology of hypertension. The relationship between various factors involved in the pathogenesis of type 2 diabetes and hypertension. It should be noted that all the factors shown in the figure are not necessarily present simultaneously in every patient.

Virus diversity and interactions with hosts in deep-sea hydrothermal vents

BackgroundThe deep sea harbors many viruses, yet their diversity and interactions with hosts in hydrothermal ecosystems are largely unknown. Here, we analyzed the viral composition, distribution, host preference, and metabolic potential in different habitats of global hydrothermal vents, including vent plumes, background seawater, diffuse fluids, and sediments.ResultsFrom 34 samples collected at eight vent sites, a total of 4662 viral populations (vOTUs) were recovered from the metagenome assemblies, encompassing diverse phylogenetic groups and defining many novel lineages. Apart from the abundant unclassified viruses, tailed phages are most predominant across the global hydrothermal vents, while single-stranded DNA viruses, including Microviridae and small eukaryotic viruses, also constitute a significant part of the viromes. As revealed by protein-sharing network analysis, hydrothermal vent viruses formed many novel genus-level viral clusters and are highly endemic to specific vent sites and habitat types. Only 11% of the vOTUs can be linked to hosts, which are the key microbial taxa of hydrothermal habitats, such as Gammaproteobacteria and Campylobacterota. Intriguingly, vent viromes share some common metabolic features in that they encode auxiliary genes that are extensively involved in the metabolism of carbohydrates, amino acids, cofactors, and vitamins. Specifically, in plume viruses, various auxiliary genes related to methane, nitrogen, and sulfur metabolism were observed, indicating their contribution to host energy conservation. Moreover, the prevalence of sulfur-relay pathway genes indicated the significant role of vent viruses in stabilizing the tRNA structure, which promotes host adaptation to steep environmental gradients.ConclusionsThe deep-sea hydrothermal systems hold untapped viral diversity with novelty. They may affect both vent prokaryotic and eukaryotic communities and modulate host metabolism related to vent adaptability. More explorations are needed to depict global vent virus diversity and its roles in this unique ecosystem.3aGZ9ofcs6zPBgoYBabc9bVideo

Perchlorate-specific proteomic stress responses of Debaryomyces hansenii could enable microbial survival in Martian brines.

If life exists on Mars, it would face several challenges including the presence of perchlorates, which destabilize biomacromolecules by inducing chaotropic stress. However, little is known about perchlorate toxicity for microorganisms on the cellular level. Here, we present the first proteomic investigation on the perchlorate-specific stress responses of the halotolerant yeast Debaryomyces hansenii and compare these to generally known salt stress adaptations. We found that the responses to NaCl and NaClO4 -induced stresses share many common metabolic features, for example, signalling pathways, elevated energy metabolism, or osmolyte biosynthesis. Nevertheless, several new perchlorate-specific stress responses could be identified, such as protein glycosylation and cell wall remodulations, presumably in order to stabilize protein structures and the cell envelope. These stress responses would also be relevant for putative life on Mars, which-given the environmental conditions-likely developed chaotropic defence strategies such as stabilized confirmations of biomacromolecules or the formation of cell clusters.

Evaluation of the Use of Saliva Metabolome as a Surrogate of Blood Metabolome in Assessing Internal Exposures to Traffic-Related Air Pollution.

In the omics era, saliva, a filtrate of blood, may serve as an alternative, noninvasive biospecimen to blood, although its use for specific metabolomic applications has not been fully evaluated. We demonstrated that the saliva metabolome may provide sensitive measures of traffic-related air pollution (TRAP) and associated biological responses via high-resolution, longitudinal metabolomics profiling. We collected 167 pairs of saliva and plasma samples from a cohort of 53 college student participants and measured corresponding indoor and outdoor concentrations of six air pollutants for the dormitories where the students lived. Grand correlation between common metabolic features in saliva and plasma was moderate to high, indicating a relatively consistent association between saliva and blood metabolites across subjects. Although saliva was less associated with TRAP compared to plasma, 25 biological pathways associated with TRAP were detected via saliva and accounted for 69% of those detected via plasma. Given the slightly higher feature reproducibility found in saliva, these findings provide some indication that the saliva metabolome offers a sensitive and practical alternative to blood for characterizing individual biological responses to environmental exposures.

Differential rRNA gene metabarcoding of prokaryotic consortia in desert athalassohaline and thalassohaline brines

Culture-independent molecular study presented the first exploring and evaluation of prokaryotic communities in two desert brines; the athalassohaline Lake “Aghormy”, Siwa Oasis, Western Desert of Egypt, and the thalassohaline saltern “Sebeaka Sabkha”, Bardawil Lagoon, north coast of the Sinai. 16S rRNA gene metabarcoding generated a total of 488,828 reads from both sites, grouped into 17,741 operational taxonomic units (OTUs). 3030 OTUs were shared in both sites, while 2255 and 9426 OTUs were unique to Aghormy Lake and Sebeaka Sabkha, respectively. Both sites showed an abundance of Bacteroidetes, particularly the genera Salisaeta and Salinibacter in Aghormy and Sebeaka Sabkha, respectively. Aghormy brine was characterized by phylotypes belonging to Deinococcus-Thermus, Spirochaetes, Rhodovibrio, Piscirickettsiaceae and GMD14H09 (Deltaproteobacteria). While phylotypes assigned to AT12OctB3 (Bacteroidetes), Rhodobacteriaceae, Ectothiorhodospiraceae, and Xanthomonadaceae formed Sebeaka Sabkha bacterial community. A Cyanobacteria-like phylotype was assigned to genus Dactylococcopsis in both brines. The archaeal family, Halobacteriaceae, represented 4.8% of Sebeaka brine reads. Although some of the recorded phylotypes in both brines belonged to the same phyla, they differed in lower taxonomic ranks, implicating distant brine environments' impact on shaping halophilic communities. The metabolic prediction analyses showed a dominance of TCA cycle, branched amino acid biosynthesis and heme biosynthesis, common metabolic features for salt tolerance.

Neutrophil Metabolic Rewiring in Severe and Mild COVID-19

▪SARS-CoV-2 infection can cause severe respiratory disease resulting in hospitalization and death in some people, but in others it causes a mild disease or is asymptomatic. The causes of severe COVID-19 are of profound public health importance. Severe COVID-19 is marked by an exacerbated innate immune response leading to hyperinflammation which damages host tissues. Broad inhibition of hyperinflammation by dexamethasone is a mainstay of severe COVID-19 treatment. However, more targeted therapeutic approaches to dampen hyperinflammation are lacking. Patients typically exhibit increased neutrophil numbers in the blood and lung, and increased formation of neutrophil extracellular traps. Previous work profiled the metabolome of plasma in severe COVID-19 patients and found several metabolic aberrations as compared to mild COVID-19 patients or healthy controls. However, the metabolome of immune cell populations in COVID-19 has not been characterized to our knowledge. In addition, it is not known if metabolic changes observed in severe COVID-19 mechanistically contribute to hyperinflammation and host tissue damage or if they are simply markers of pathology.To understand how metabolism can regulate the innate immune system in COVID-19 and to explore possible therapeutic targets, we carried out a comprehensive metabolomic study of neutrophils purified from healthy controls, mild/moderate COVID-19 patients, and severe COVID-19 patients. Severe COVID-19 patients were defined as having Acute Respiratory Distress and being treated in the intensive care unit. Plasma from the same patients and healthy controls was also collected and metabolomics was performed to study how COVID-19 impacts the neutrophil and plasma metabolome in tandem.Several metabolic pathways were significantly different between mild COVID-19 patients, severe COVID-19 patients, and healthy controls, consistent with rewired neutrophil and plasma metabolome in severe COVID-19. Differentially abundant metabolites belonged to central carbon metabolism, nucleotide metabolism, amino acid metabolism and other pathways. Variation in the PMN metabolome was largely independent from variation in the plasma metabolome. This suggests that processes internal to neutrophils drive changes in neutrophil metabolism. Metabolomics in 3 mouse models of hyperinflammation showed common or distinct metabolic features that change in inflammation compared to metabolomics of severe COVID-19 patients. Therefore changes in some metabolites comprise a general hyperinflammatory metabolic signature while others are more specific to severe COVID-19. Isotope tracing experiments were carried out to understand how nutrients were utilized in neutrophils in context of inflammation. We will describe mechanistic work testing whether metabolic features we observe in severe COVID-19 patients regulate the inflammatory response of human neutrophils. DisclosuresNo relevant conflicts of interest to declare.

The effects of graded calorie restriction XVII: Multitissue metabolomics reveals synthesis of carnitine and NAD, and tRNA charging as key pathways

The evolutionary context of why caloric restriction (CR) activates physiological mechanisms that slow the process of aging remains unclear. The main goal of this analysis was to identify, using metabolomics, the common pathways that are modulated across multiple tissues (brown adipose tissue, liver, plasma, and brain) to evaluate two alternative evolutionary models: the "disposable soma" and "clean cupboards" ideas. Across the four tissues, we identified more than 10,000 different metabolic features. CR altered the metabolome in a graded fashion. More restriction led to more changes. Most changes, however, were tissue specific, and in some cases, metabolites changed in opposite directions in different tissues. Only 38 common metabolic features responded to restriction in the same way across all four tissues. Fifty percent of the common altered metabolites were carboxylic acids and derivatives, as well as lipids and lipid-like molecules. The top five modulated canonical pathways were l-carnitine biosynthesis, NAD (nicotinamide adenine dinucleotide) biosynthesis from 2-amino-3-carboxymuconate semialdehyde, S-methyl-5'-thioadenosine degradation II, NAD biosynthesis II (from tryptophan), and transfer RNA (tRNA) charging. Although some pathways were modulated in common across tissues, none of these reflected somatic protection, and each tissue invoked its own idiosyncratic modulation of pathways to cope with the reduction in incoming energy. Consequently, this study provides greater support for the clean cupboards hypothesis than the disposable soma interpretation.

Shared and unique metabolic features of the malignant and benign thyroid lesions determined with use of 1H HR MAS NMR spectroscopy

The purpose of this work was to investigate the distinct and common metabolic features of the malignant and benign thyroid lesions in reference to the non-transformed tissue from the contralateral gland (chronic thyroiditis and colloid goiter). 1H HR MAS NMR spectra of 38 malignant lesions, 32 benign lesions and 112 samples from the non-tumoral tissue (32 from chronic thyroiditis and 80 samples from colloid goiter) were subjected both to multivariate and univariate analysis. The increased succinate, glutamine, glutathione, serine/cysteine, ascorbate, lactate, taurine, threonine, glycine, phosphocholine/glycerophosphocholine and decreased lipids were found in both lesion types in comparison to either colloid goiter or chronic thyroiditis. The elevated glutamate and choline, and reduced citrate and glucose were additionally evident in these lesions in reference to goiter, while the increased myo-inositol—in comparison to thyroiditis. The malignant lesions were characterized by the higher alanine and lysine levels than colloid goiter and thyroiditis, while scyllo-inositol was uniquely increased in the benign lesions (not in cancer) in comparison to both non-tumoral tissue types. Moreover, the benign lesions presented with the unique increase of choline in reference to thyroiditis (not observed in the cancerous tissue). The metabolic heterogeneity of the non-tumoral tissue should be considered in the analysis of metabolic reprogramming in the thyroid lesions.

Common and specific mineral and metabolic features in dairy cows with clinical metritis, hypocalcaemia or ketosis

The objectives were to evaluate differences in serum concentration of metabolites, macro minerals and hepatic enzymes at pre and postpartum time-points in dairy cows diagnosed with clinical metritis, hypocalcaemia or ketosis postpartum. A total of 144 Holstein cows from 11 commercial dairy herds in Alberta, (Western Canada) were enrolled in this study. Cows with clinical metritis had lower serum concentrations of glutamate dehydrogenase (GLDH) at pre and postpartum and lower total Ca, albumin, urea, and cholesterol at postpartum when compared to control cows. Cows with hypocalcaemia had greater serum concentrations of Na, Cl, and calculated osmolarity (CalOsmo) at prepartum and lower concentration of total serum Ca, glucose, cholesterol, gamma-glutamyl transpeptidase (GGT), GLDH, total protein and albumin at postpartum. Prepartum serum concentrations of non-esterified fatty acids (NEFA), beta hydroxybutyrate (BHB), Cl, albumin/globulin ratio (A/G), Na, K and sum of Na and K were greater in ketotic cows when compared with control cows. Cows with ketosis had also greater postpartum serum concentrations of NEFA, BHB, GGT and aspartate transaminase (AST) when compared with control cows. Prepartum serum Na and Cl concentrations and CalOsmo were greater in cows diagnosed with hypocalcaemia or ketosis when compared with control cows. Furthermore, postpartum serum concentrations of total Ca, cholesterol, albumin and GLDH were significantly affected by hypocalcaemia or clinical metritis and concentrations of GGT by hypocalcaemia or ketosis. Finally, postpartum serum concentrations of haptoglobin increased in all disease groups when compared with control cows. These results suggest common metabolic features for clinical metritis, hypocalcaemia and ketosis in dairy cows in addition to the specific ones.

Differential Metabolic Alterations and Biomarkers Between Gastric Cancer and Colorectal Cancer: A Systematic Review and Meta-Analysis.

PurposeNumerous metabolomics studies have been conducted to detect the metabolic mechanisms and biomarkers related to gastric cancer and colorectal cancer. Because of the common metabolic features between gastric cancer and colorectal cancer, a differential diagnosis is difficult. Here, we performed a systematic review and meta-analysis to identify differential metabolic biomarkers between these two types of cancers.Materials and MethodsPubMed, Embase, and ScienceDirect were searched to identify all metabolomics studies of gastric cancer and colorectal cancer published up to September 2018. Differential metabolites or altered pathways were extracted. The intersections and differences for these metabolites and pathways between gastric cancer and colorectal cancer were compared. Candidate biomarker sets for diagnosis were proposed from biofluid or feces by comparing them with tumor tissues.ResultsTotally, 24 and 65 studies were included in gastric cancer and colorectal cancer, and 223 and 472 differential metabolites were extracted, respectively. Eight pathways were reproducibly enriched in blood, tissue and urine in gastric cancer, while, 11 pathways were reproducibly enriched in blood, urine, feces and tissue in colorectal cancer. Candidate metabolic biomarker sets in blood, urine, or feces for these two cancers were proposed. We found 27 pathways (categorized into eight classifications) common to both cancers, five pathways involving 35 metabolites enriched only in gastric cancer, and eight pathways involving 54 metabolites enriched only in colorectal cancer.ConclusionThe altered metabolic pathways showed signatures of abnormal metabolism in gastric cancer and colorectal cancer; the potential metabolic biomarkers proposed in this study have important implications for the prospective validation of gastric cancer and colorectal cancer.

A New Classification Method of Metastatic Cancers Using a 1H-NMR-Based Approach: A Study Case of Melanoma, Breast, and Prostate Cancer Cell Lines.

In this study, metastatic melanoma, breast, and prostate cancer cell lines were analyzed using a 1H-NMR-based approach in order to investigate common features and differences of aggressive cancers metabolomes. For that purpose, 1H-NMR spectra of both cellular extracts and culture media were combined with multivariate data analysis, bringing to light no less than 20 discriminant metabolites able to separate the metastatic metabolomes. The supervised approach succeeded in classifying the metastatic cell lines depending on their glucose metabolism, more glycolysis-oriented in the BRAF proto-oncogene mutated cell lines compared to the others. Other adaptive metabolic features also contributed to the classification, such as the increased total choline content (tCho), UDP-GlcNAc detection, and various changes in the glucose-related metabolites tree, giving additional information about the metastatic metabolome status and direction. Finally, common metabolic features detected via 1H-NMR in the studied cancer cell lines are discussed, identifying the glycolytic pathway, Kennedy’s pathway, and the glutaminolysis as potential and common targets in metastasis, opening up new avenues to cure cancer.

GLP-2 receptor signaling controls circulating bile acid levels but not glucose homeostasis in Gcgr−/− mice and is dispensable for the metabolic benefits ensuing after vertical sleeve gastrectomy

ObjectiveTherapeutic interventions that improve glucose homeostasis such as attenuation of glucagon receptor (Gcgr) signaling and bariatric surgery share common metabolic features conserved in mice and humans. These include increased circulating levels of bile acids (BA) and the proglucagon-derived peptides (PGDPs), GLP-1 and GLP-2. Whether BA acting through TGR5 (Gpbar1) increases PGDP levels in these scenarios has not been examined. Furthermore, although the importance of GLP-1 action has been interrogated in Gcgr−/− mice and after bariatric surgery, whether GLP-2 contributes to the metabolic benefits of these interventions is not known. MethodsTo assess whether BA acting through Gpbar1 mediates improved glucose homeostasis in Gcgr−/− mice we generated and characterized Gcgr−/−:Gpbar1−/− mice. The contribution of GLP-2 receptor (GLP-2R) signaling to intestinal and metabolic adaptation arising following loss of the Gcgr was studied in Gcgr−/−:Glp2r−/− mice. The role of the GLP-2R in the metabolic improvements evident after bariatric surgery was studied in high fat-fed Glp2r−/− mice subjected to vertical sleeve gastrectomy (VSG). ResultsCirculating levels of BA were markedly elevated yet similar in Gcgr−/−:Gpbar1+/+ vs. Gcgr−/−:Gpbar1−/− mice. Loss of GLP-2R lowered levels of BA in Gcgr−/− mice. Gcgr−/−:Glp2r−/− mice also exhibited shifts in the proportion of circulating BA species. Loss of Gpbar1 did not impact body weight, intestinal mass, or glucose homeostasis in Gcgr−/− mice. In contrast, small bowel growth was attenuated in Gcgr−/−:Glp2r−/− mice. The improvement in glucose tolerance, elevated circulating levels of GLP-1, and glucose-stimulated insulin levels were not different in Gcgr−/−:Glp2r+/+ vs. Gcgr−/−:Glp2r−/− mice. Similarly, loss of the GLP-2R did not attenuate the extent of weight loss and improvement in glucose control after VSG. ConclusionsThese findings reveal that GLP-2R controls BA levels and relative proportions of BA species in Gcgr−/− mice. Nevertheless, the GLP-2R is not essential for i) control of body weight or glucose homeostasis in Gcgr−/− mice or ii) metabolic improvements arising after VSG in high fat-fed mice. Furthermore, despite elevations of circulating levels of BA, Gpbar1 does not mediate elevated levels of PGDPs or major metabolic phenotypes in Gcgr−/− mice. Collectively these findings refine our understanding of the relationship between Gpbar1, elevated levels of BA, PGDPs, and the GLP-2R in amelioration of metabolic derangements arising following loss of Gcgr signaling or after vertical sleeve gastrectomy.

Metabolomic Assessment of Acute Cholestatic Injuries Induced by Thioacetamide and by Bile Duct Ligation, and the Protective Effects of Huang-Lian-Jie-Du-Decoction.

Huang-Lian-Jie-Du-Decoction, a traditional Chinese formula, has been reported to protect liver from various injuries. Two cholestasis models of rats induced by thioacetamide and by bile duct ligation were established and treated with Huang-Lian-Jie-Du-Decoction. Nuclear Magnetic Resonance-based urinary metabolic profiles were analyzed by orthogonal partial least squares discriminant analysis and univariate analysis to excavate differential metabolites associated with the injuries of the two models and the treatment effects of Huang-Lian-Jie-Du-Decoction. The two cholestatic models shared common metabolic features of excessive fatty acid oxidation, insufficient glutathione regeneration and disturbed gut flora, with specific characteristics of inhibited urea cycle and DNA damage in thioacetamide-intoxicated model, and perturbed Kreb's cycle and inhibited branched chain amino acid oxidation in bile duct ligation model. With good treatment effects, Huang-Lian-Jie-Du-Decoction could regain the balance of the disturbed metabolic status common in the two cholestasis injuries, e.g., unbalanced redox system and disturbed gut flora; and perturbed urea cycle in thioacetamide-intoxicated model and energy crisis (disturbed Kreb's cycle and oxidation of branched chain amino acid) in bile duct ligation model, respectively.

The Emerging Facets of Non-Cancerous Warburg Effect.

The Warburg effect (WE), or aerobic glycolysis, is commonly recognized as a hallmark of cancer and has been extensively studied for potential anti-cancer therapeutics development. Beyond cancer, the WE plays an important role in many other cell types involved in immunity, angiogenesis, pluripotency, and infection by pathogens (e.g., malaria). Here, we review the WE in non-cancerous context as a “hallmark of rapid proliferation.” We observe that the WE operates in rapidly dividing cells in normal and pathological states that are triggered by internal and external cues. Aerobic glycolysis is also the preferred metabolic program in the cases when robust transient responses are needed. We aim to draw attention to the potential of computational modeling approaches in systematic characterization of common metabolic features beyond the WE across physiological and pathological conditions. Identification of metabolic commonalities across various diseases may lead to successful repurposing of drugs and biomarkers.

Prevalence of Positive Diabetes-Associated Autoantibodies among Type 2 Diabetes and Related Metabolic and Inflammatory Differences in a Sample of the Bulgarian Population.

Background The study aimed to estimate the prevalence of unrecognized cases with positive autoantibodies among type 2 diabetes (T2D) in a sample of the Bulgarian population and to compare some metabolic and inflammatory markers to those of patients having negative autoantibodies and subjects with latent autoimmune diabetes (LADA). Methods Patients with T2D, patients with LADA, and control participants were enrolled. Antiglutamic acid decarboxylase, anti-insulinoma-associated 2, and antizinc transporter 8 autoantibodies were assayed through ELISA. C-reactive protein and interleukin 6 (IL-6) and tumor necrosis factor alpha were assessed. Results Ten percent of patients with T2D had positive autoantibodies. They had lower body mass index (p = 0.014), worse glycemic control (HbA1c, p = 0.033), and better HDL cholesterol (p = 0.026) than those in negative autoantibodies cases. Compared to LADA, glycemia and anthropometric data did not differ significantly but metabolic syndrome was more prevalent among newly found cases with positive autoantibodies (p = 0.046). Their level of inflammatory markers was similar to that of patients having negative autoantibodies (p > 0.05), but IL-6 was higher when compared to LADA (p = 0.002). Conclusion Prevalence of patients having positive autoantibodies within T2D in the analyzed sample of the Bulgarian population was 10%. They shared common metabolic features with subjects with LADA, but inflammatory phenotype was closer to that of T2D.

Establishment of thFree human pancreatic cancer orthotopic xenograft nude mice models and serum metabolomics

Objective To analyze the metabolic profile in serum between normal and orthotopic xenograft nude mice burdened with three human pancreatic cancer cell lines, which were differentiated differently. Methods Human pancreatic cancer lines SW1990, BxPC-3 and Panc-1 were subcutaneously injected into the nude mice, respectively. When the tumor volume reached 1.0 cm3, the nude mice were euthanized and the tumor tissues were removed and implanted to the pancreas to establish the orthotopic xenograft mice model. The serum from three orthotopic xenograft tumor nude mice and the normal controls were collected and then analyzed by 1H nuclear magnetic resonance spectroscopy. Results The three orthotopic xenograft nude mice models were successfully established. In SW1990, BxPC-3 and Panc-1 group, the orthotopic xenograft tumor formation rate was 79% (11/14), 93% (13/14) and 86% (12/14), while the mortality was 7% (1/14), 0 and 7% (1/14), respectively. Compared with control group, the content of metabolites in the serum of orthotopic xenograft tumor nude mice was increased including creatine, alanine, glutamine, 1-methylhistidine, isoleucine, lactate, phenylalanine, tryptophan and valine, but the glycerolphosphocholine (GPC) and glucose levels were reduced. As the tumors progressed to be more malignant, the content of valine and isoleucine tended to increase. Conclusions The establishment of the orthotopic implantation tumor nude mice model was stable and reliable with high tumor formation rate. Obvious metabolic differences of glucose, lipid and amino acids were observed between normal and human pancreatic cancer tumor burdening nude mice models. The common metabolic features identified in all three nude mice models burdened with human pancreatic cancer could be used as the potential markers for diagnosing human pancreatic cancer. Key words: Pancreatic cancer; Metabolomics; H nuclear magnetic resonance; Animal model

Some growth factors in neoplastic tissues of brain tumors of different histological structure

Introduction. Pathologic angiogenesis is typical for angiogenic diseases including tumor growth. Vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF), transforming growth factor alpha and beta (which are also known as “triggers” of angiogenesis), and other factors (Gacche, Meshram, 2013; Nijaguna et al., 2015) play a special role in its development. Evaluation of the important mechanisms of angiogenesis in physiological and pathological conditions remains to be a subject of heightened interest for the past 30 years. It is known that VEGF A is the main trigger of growing blood vessels into the tumor tissue. This is specific mitogen signal for endothelial cells that triggers the mechanisms of cell division and migration. VEGF-induced tumor vasculature has a number of structural and functional features that provide growth and progression of tumors, including increased permeability of blood vessels and their chaotic arrangement. Objective: to study in comparative aspect the level of certain growth factors in the following tissues: glioblastomas, brain metastasis of the breast cancer, meningiomas as well as corresponding peritumoral areas. Materials and methods. Tissue samples were obtained from 56 patients admitted to the surgical treatment in Rostov Research Institute of Oncology: 24 patients had glioblastomas, 19 patients had brain metastasis of the breast cancer, 13 patients with meningiomas without peritumoral edema. Histological control was carried out in all cases. Age of patients ranged from 35 to 72 years. The level of growth factor was detected in the samples of tumor tissue and regions immediately adjacent to the tumor foci (peritumoral area) by the method of immuno???assay and using standard test systems. The following growth factor were detected: VEGF-A and its receptors VEGF-R1 (BenderMedSystem, Austria), VEGF-C and its receptor VEGF-R3 (BenderMedSystem, Austria), EGF (Biosource, USA), IFR-1 and IFR-2 (Mediagnost, USA), TGF-β1 (BenderMedSystem, Austria). Results. We have found both common and distinctive features in the content of growth factors in neoplastic tissues of different histological structure and corresponding peritumoral areas. Common metabolic features of glioblastomas, brain metastases and meningiomas include various increase in the level of VEGF-A, VEGF-R1, VEGF-C, IFR-1, IFR-2 and VEGF-C/VEGF-R3 index ratio. Differences included the fact that the level of VEGF-R3 and TGF-β1 did not increase in the benign tumor, while the level of EGF and VEGF-A/VEGF-R1 index ratio were below the control values in contrast to the values of malignant tumors. Conclusions • In the neoplastic tissues of glioblastomas and peritumoral area there is a strong positive correlation between the level of VEGF-A with the level of EGF, IGF-1, IGF-II and TGF-β1. • In the metastatic tissue there is a strong positive correlation between the level of VEGF-A with the level of EGF, IGF-1, IGF-II and TGF-β1. However, correlations had a different nature in the peritumoral zone tissues near to metastases: there was a strong positive correla???tion of VEGF-A level with TGF-β1 only, while there was a strong negative correlation with the level of IGF-1 and IGF-II, there were no correlations with EGF level. • In meningioma tissues VEGF-A levels correlated only with the level of insulin-like growth factors: there was a strong positive correlation with IGF-1 and IGF-II, correlation has been found with the level of EGF and TGF-β1. • In descending order VEGF-C was detected in glioblastoma tissue, in metastatic tumors, meningiomas, peritumoral zones of glioblastomas and metastases. However, in all of these samples the level of the studied factor significantly exceeded the value in intact brain tissue. VEGFR-3 level was elevated in glioblastoma tissue only.