Amino Acids Asparagine Research Articles

Correlations and Variations Between the Major Biochemical Parameters of the Blood of Hybrid Swine.

In modern animal husbandry, increasing attention is given to mathematical modeling and statistical methods, especially for evaluating commercial hybrids. Our aim was to evaluate the phenotypic and genetic variability of biochemical parameters of blood serum of the 56 hybrid boars (Large White × Landrace × Duroc) raised in feeding stations (Russia) through mathematical modeling. The particular variances and covariances of traits were calculated using the limited maximum likelihood model and the REMLF90 programs. A narrow range of variability was found for major biochemical parameters in relationship with the "FFG-factor" ("fattening period × final live weight × gain"), including the majority of the metabolites (p ≤ 0.05). The highest values of the genetic correlations were observed for the "total protein" parameter with albumins (0.78), globulins (0.94), creatinine (0.99), and enzymes: AST (0.98), ALT (0.80), etc. Phenotypic and genetic relationships showed fairly high correlation coefficients (0.5-0.8). It is important to emphasize that most of the studied amino acids (alanine, arginine, aspartic acid and asparagine, glutamic acid and glutamine, glycine, isoleucine, leucine, serine, threonine, tyrosine, valine) were significantly associated with the "FFG-factor" (p ≤ 0.05). The proposed approach provides reliable data on metabolite variability and correlations.

CLASSIFICATION OF COLORECTAL CANCER PATIENTS BASED ON SERUM MICRONUTRIENTS: AN EXPLORATORY INVESTIGATION

Abstract Introduction/Objective Colorectal cancer (CRC) is a growing global health challenge with a multifactorial etiology encompassing genetic susceptibility, nutrition, and inflammation in the bowel. To examine micronutrient status in CRC patients undergoing CRC resection. Methods/Case Report We performed a pilot case-control study including 13 consecutive CRC patients and 10 healthy controls (CTRL) comparing the serum levels of 29 micronutrients, namely Copper, Zinc, Selenium, Chromium, Manganese, Carnitine, Choline, Inositol, Methylmalonic acid (MMA), Vitamin (Vit) B1, Vit B2, Vit B3, Vit B5, Vit B6, Vit C, Vit A, Vit D3, Vit E, Vit K1, Vit K2 and the amino acids Serine, Valine, Leucine, Isoleucine, Asparagine, Glutamine, Arginine, Citrulline and Cysteine. The analysis of trace metals (copper, zinc, selenium, chromium, manganese) in serum was done using the Inductively coupled plasma mass spectrometry (ICP-MS) methodology using the Agilent 8900 QQQ instrument. The analysis of serum water-soluble and fat-soluble vitamins and amino acids was conducted using the LC/MS (Xevo-TQ-XS) mass spectrometer (WBA0127). Elution of the fat-soluble vitamins was performed using a solid-phase extraction system with an OASIS Prime HLB plate containing 10 mg of sorbent per well, in a Waters vacuum manifold equipped with a waste collection plate. Comparison among continuous biological variables was carried out by multivariate ANOVA model (MANOVA), accounting for the effect of sex and age Results (if a Case Study enter NA) After considering the effect of age and sex, copper, arginine, and cysteine were increased, while zinc, selenium, chromium, Vit B1, Vit K1, and Vit A were decreased in CRC patients in comparison with CTRL. Zinc levels perfectly predicted the diagnosis of CRC, and was associated with lymph nodes (pN), of the pTNM staging. Copper levels in serum was strongly associated with the pathological pTNM staging of CRC. Conclusion Though this is a preliminary study which needs confirmation with a larger longitudinal cohort, our results show that serum micronutrients are linked to tumor growth, likely caused by increased demand from tumor tissue associated with an aberrant cell proliferation and changes in the antioxidant function.

Heat of Dilution and Racemization of Chiral Amino Acid Solutions

Chiral interactions play a crucial role in both chemistry and biology. Understanding the behavior of chiral molecules and their interactions with other molecules is essential, and chiral interactions in solutions are particularly important for studying chiral compounds. Chirality influences the physical and chemical properties of molecules, including solubility, reactivity, and biological activity. In this work, we used isothermal titration calorimetry (ITC), a powerful technique for studying molecular interactions, including chiral interactions in solutions. We conducted a series of ITC measurements to investigate the heat of dilution and the heat of racemization of several amino acids (Asparagine, Histidine, Serine, Alanine, Methionine, and Phenylalanine). We also performed ITC measurements under different solute concentrations and temperatures to examine the effects of these parameters on chiral interactions, as well as the heat of dilution and racemization. The results of our measurements indicated that the heat of dilution, specifically the interactions between the solvent (water) and solute (chiral molecules), had a significant impact compared to the chiral interactions in the solution, which were found to be negligible. This suggests that the interactions between chiral molecules and the solvent play a more dominant role in determining the overall behavior and properties of the system. By studying chiral interactions in solutions, we can gain valuable insights into the behavior of chiral compounds, which can have implications in various fields, including drug design, chemical synthesis, and biological processes.

Amino acid permease OsAAP12 negatively regulates rice tillers and grain yield by transporting specific amino acids to affect nitrogen and cytokinin pathways

Amino acids are necessary nutrients for the growth of Oryza sativa (rice), which can be mediated by amino acid transporter; however, our understanding of these transporters is still limited. This study found that the expression levels of amino acid permease gene OsAAP12 differed between indica and japonica rice. Altered expression of OsAAP12 negatively regulated tillering and yield in transgenic rice lines. Subcellular localization revealed that OsAAP12 was primarily localized to the plasma membrane. Moreover, it was indicated that OsAAP12 transported polar neutral amino acids asparagine (Asn), threonine (Thr), and serine (Ser) through experiments involving yeast heterologous complementation, fluorescence amino acid uptake, and amino acid content determination. Additionally, exogenous application of amino acids Asn, Thr, and Ser suppressed axillary buds outgrowth in OsAAP12 overexpression lines compared with wild-type ZH11. Conversely, the opposite trend was observed in CRISPR mutant lines. RNA-seq analysis showed that the expression patterns of genes involved in the nitrogen and cytokinin pathways were generally altered in OsAAP12 modified lines. Hormone assays indicated that OsAAP12 mutant lines accumulated cytokinins in the basal part of rice, whereas overexpression lines had the opposite effect. In summary, CRISPR mutant of OsAAP12 boosted rice tillering and grain yield by coordinating the content of amino acids and cytokinins, which has potential application value in high-yield rice breeding.

NMR Fingerprinting of Conventional and Genetically Modified Soybean Plants with AtAREB1 Transcription Factors.

Drought stress impacts soybean yields and physiological processes. However, the insertion of the activated form of the AtAREB1 gene in the soybean cultivar BR16, which is sensitive to water deficit, improved the drought response of the genetically modified plants. Thus, in this study, we used 1H NMR in solution and solid-state NMR to investigate the response of genetically modified soybean overexpressing AtAREB1 under water deficiency conditions. We achieved that drought-tolerant soybean yields high content of amino acids isoleucine, leucine, threonine, valine, proline, glutamate, aspartate, asparagine, tyrosine, and phenylalanine after 12 days of drought stress conditions, as compared to drought-sensitive soybean under the same conditions. Specific target compounds, including sugars, organic acids, and phenolic compounds, were identified as involved in controlling sensitive soybean during the vegetative stage. Solid-state NMR was used to study the impact of drought stress on starch and cellulose contents in different soybean genotypes. The findings provide insights into the metabolic adjustments of soybean overexpressing AREB transcription factors in adapting to dry climates. This study presents NMR techniques for investigating the metabolome of transgenic soybean plants in response to the water deficit. The approach allowed for the identification of physiological and morphological changes in drought-resistant and drought-tolerant soybean tissues. The findings indicate that drought stress significantly alters micro- and macromolecular metabolism in soybean plants. Differential responses were observed among roots and leaves as well as drought-tolerant and drought-sensitive cultivars, highlighting the complex interplay between overexpressed transcription factors and drought stress in soybean plants.

Dynamics of the interaction between water and the amino acids alanine, arginine, asparagine and glutamine using LED, QTAIM, AIMD and core-valence bifurcation (CVB) index

The interplay of solvents is important in biological systems. This study examines the interaction between the water molecule and the amino acids viz, alanine, arginine, asparagine, and glutamine. The primary cause of the interaction is the hydrogen bond that forms between the oxygen atom in the water molecule and the hydrogen of the amino acid’s –OH group of the –COOH. The DFT approach was used to analyse the non-covalent interaction in gas phase. The NBO analysis is used to investigate the electron delocalisation between the amino acid and the water molecule. Binding energy is calculated using the QTAIM analysis and found that the asparagine – water system has more binding energy compared to the other four amino acid under consideration. RDG plots and NCI plots were used to analyse the non-covalent interaction between the moieties. DLPNO-CCSD(T) energy is decomposed into various components using the local energy decomposition method and the binding strength is analysed. AIMD analysis further confirms the stability of the interaction of water at the –COOH group of the amino acid. The hydrogen bonding strength is determined from the CVB index and the strong hydrogen bonding among the four amino acid is found in the asparagine – water system.

The Increased aspartate levels in transgenic cotton (Gossypium hirsutum L.) lead to improved tolerance against whitefly (Bemisia tabaci, Gennadius).

The whitefly, a polyphagous insect pest feeding on nearly 1328 plant species, is a major threat to global cotton production and incurs up to 50% yield losses in cotton production in Pakistan. We investigated whether increased aspartate in phloem sap imparts whitefly toxicity and protects cotton plants from intense damage. The enzymatic step for aspartate production is carried through aspartate aminotransferase (AAT). In this study, we constitutively overexpressed the Oryza sativa cytoplasmic AAT (OsAAT2) under the CaMV35S promoter in Gossypium hirsutum cv. CIM-482. Real-time PCR analysis of the AAT transcripts revealed a 2.85- to 31.7-fold increase in mRNA levels between the different cotton lines. A substantial increase in the free-amino acid content of the major N-assimilation and transport amino acids (aspartate, glutamate, asparagine, and glutamine) was seen in the phloem sap of the transgenic cotton lines. The bioassay revealed that the two transgenic cotton lines with the highest free aspartate content in the phloem sap exhibited 97 and 94% mortality in the adult whitefly population and a 98 and 96% decline in subsequent nymph populations, respectively. There was also a significant change in the physiological behaviour of the transgenic cotton lines, with an increased net assimilation (A), gaseous exchange (Gs) and rate of transpiration (E). Improved morphological characteristics like plant height, total number of bolls and fiber yield were recorded in transgenic cotton lines. The AAT gene shows promise in mitigating whitefly infestations and enhancing the overall health and yield of cotton plants.

Comparative Probiogenomics Analysis of Limosilactobacillus fermentum 3872.

Limosilactobacillus fermentum is an important member of the lactic acid bacteria group and holds immense potential for probiotic properties in human health and relevant industries. In this study, a comparative probiogenomic approach was applied to analyze the genome sequence of L. fermentum 3872, which was extracted from a commercially available yogurt sample, along with 20 different publicly available strains. Results indicate that the genome size of the characterized L. fermentum 3892 strain is 2,057,839bp, with a single- and circular-type chromosome possessing a G + C content of 51.69%. The genome of L. fermentum 3892 strain comprises a total of 2120 open reading frames (ORFs), two genes encoding rRNAs, and 53 genes encoding tRNAs. Upon comparative probiogenomic analysis, two plasmid sequences were detected among the study strains, including one for the L. fermentum 3872 genome, which was found between position 1,288,203 and 1,289,237 with an identity of 80.98. The whole-genome alignment revealed 2223 identical sites and a pairwise identity of 98.9%, indicating a significant difference of 1.1% among genome strains. Comparison of amino acid encoding genes among strains included in this study suggests that the strain 3872 exhibited the highest degree of amino acids present, including glutamine, glutamate, aspartate, asparagine, lysine, threonine, methionine, and cysteine. The comparative antibiotic resistome profiling revealed that strain 3872 exhibited a high resistant capacity only to ciprofloxacin antibiotics as compared to other strains. This study provides a genomic-based evaluation approach for comparative probiotic strain analysis in commercial foods and their significance to human health.

Abstract 2871: Co-targeting asparagine and glutamine metabolism is a viable treatment strategy for PI3K/PTEN mutated cervical cancer

Abstract Purpose Statement: Alterations in the PI3K/AKT signaling pathway are common in cervical cancer. The most commonly observed mutations are in PIK3CA (26%) and PTEN (8%). However, the biological and metabolic implications of acquiring these mutations in the cervical cancer genome are poorly characterized. Materials/Methods: Isogenic cell lines with PIK3CA E545K and PTEN null mutations were generated using Crispr/CAS9. Cell viability and clonogenic cell survival assays were performed in the presence and absence of inhibitors of glutamine and asparagine metabolism. Glucose and glutamine metabolism was evaluated by stable isotope labeling with U13C glucose and13C5 glutamine in presence of glutamine antagonist DON. RNA-seq was employed to evaluate transcriptomic alterations. Results: Introduction of the PIK3CA E545K mutation and PTEN mutation in cervical tumor cells leads to an increase in AKT signaling compared to the parental (wild-type) cells. Notably, RNASeq and mass spectrometric analysis of both the tumor cells and their culture media revealed heightened dependencies on glucose and glutamine in the tumor cells carrying the PIK3CA E545K and PTEN mutations as compared to the wild-type cells. Treatment with glutamine antagonists (DON, JHU-083) and GLS inhibitors (CB-839 and IACS-6274), resulted in reduced cell viability and clonogenic survival in tumor cells with PI3K/PTEN mutation compared to wild-type. Additionally, we observed a metabolic reliance on the amino acid asparagine in tumors with PI3K/PTEN alterations when treated with DON. Asparaginase in combination with DON effectively inhibited the proliferation of human and mouse cell lines derived from primary tumors with PTEN mutations. Furthermore, the incorporation of a glutamine antagonist and asparaginase into conventional chemoirradiation further enhanced the therapeutic efficacy in cervical tumors with PI3K/PTEN alterations which are otherwise treatment resistant. Conclusions: Orthogonal evaluations using glutamine agonists, GLS inhibitors, and mass spectrometric point to a significant role played by PI3K/PTEN mutations in altering cervix tumor cell metabolism towards a more glutamine dependent phenotype. This study suggests a potential strategy for improving the treatment of PI3K-AKT-altered cervical tumors by targeting glutamine and asparagine metabolism in combination with standard therapies. These treatment strategies are currently being evaluated in vivo using a patient derived xenograft model with PIK3CA E545K mutation as well as an immunocompetent cervical tumor model in mice with PTEN deletion. Citation Format: Nishanth Noel Gabriel, Naoshad Muhammad, Kevin Cho, Kay Jayachandran, Jin Zhang, Gary Patti, Julie Schwarz. Co-targeting asparagine and glutamine metabolism is a viable treatment strategy for PI3K/PTEN mutated cervical cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2871.

Alternative substitutions of N332 in HIV-1AD8 gp120 differentially affect envelope glycoprotein function and viral sensitivity to broadly neutralizing antibodies targeting the V3-glycan.

Glycan attached to amino acid asparagine at position 332 of HIV-1 envelope glycoproteins is a main target of a subset of broadly neutralizing antibodies that block HIV-1 infection. Here, we defined the contribution of different amino acids at this position to Env antigenicity, stability on ice, and conformational states.

Leveraging machine learning to dissect role of combinations of amino acids in modulating the effect of zinc on mammalian cell growth.

Although the contributions of individual components of cell culture media are largely known, their combinatorial effects are far less understood. Experiments varying one component at a time cannot identify combinatorial effects, and analysis of the large number of experiments required to decipher such effects is challenging. Machine learning algorithms can help in the analysis of such datasets to identify multi-component interactions. Zinc toxicity in vitro is known to change depending on amino acid concentration in the extracellular medium. Multiple amino acids are known to be involved in this protection. Thirty-two amino acid compositions were formulated to evaluate their effect on the growth of CHO cells under high zinc conditions. A sequential machine learning analysis methodology was used, which led to the identification of a set of amino acids (threonine, proline, glutamate, aspartate, asparagine, and tryptophan) contributing to protection from zinc. Our results suggest that a decrease in availability of these set of amino acids due to consumption may affect cell growth in media formulated with high zinc concentrations, and in contrast, normal levels of these amino acids are associated with better tolerance to high zinc concentration. Our sequential analysis method may be similarly employed for high throughput medium design and optimization experiments to identify interactions among a large number of cell culture medium components.

Revisiting Protein-Copolymer Binding Mechanisms: Insights beyond the "Lock-and-Key" Model.

The "lock-and-key" model that emphasizes the concept of chemical-structural complementary is the key mechanism for explaining the selectivity between small ligands and a larger adsorbent molecule. In this work, concerning the copolymer chain using only the combination of N-isopropylacrylamide (NIPAm) and hydrophobic N-tert-butylacrylamide (TBAm) monomers and by large-scale atomistic molecular dynamics simulations, our results show that the flexible copolymer chain may exhibit strong binding affinity for the biomarker protein epithelial cell adhesion molecule, in the absence of hydrophobic matching and strong structural complementarity. This surprising binding behavior, which cannot be anticipated by the "lock-and-key" model, can be attributed to the preferential interactions established by the copolymer with the protein's hydrophilic exterior. We observe that increasing the fraction of incorporated TBAm monomers leads to a prevalence of interactions with asparagine and glutamine amino acids due to the emerging hydrogen bonding with both NIPAm and TBAm monomers. Our findings suggest the appearance of highly specific and high-affinity binding sites on the protein created by engineering the copolymer composition, which motivates the applications of copolymers as protein affinity reagents.

Dried blood spots-based metabolomic analysis in preterm infants with necrotizing enterocolitis

Objective Necrotizing enterocolitis (NEC) is the leading cause of death among premature infants, and there is a lack of specific early diagnostic markers. Blood sampling is expected to better reflect pathophysiological and metabolic changes in systematic illness, but there is a risk of iatrogenic anemia, especially in premature infants. Dried blood spots technique seems to have important advantages compared to whole blood sampling as it requires only 12–15 μL as sample volume. This study aimed to investigate the special metabolomics of preterm neonates at high risk of NEC using dried blood spots. Methods Cases and controls were strictly matched 1:1. Dried blood spots (n = 32, 16 cases–16 controls) from newborn screening were subjected to LC–MS/MS. Metabolomic data were analyzed by orthogonal partial least squares-discriminant analysis (OPLS-DA) and univariate/multivariate statistical analysis. Results Compared to the control group, the NEC group had a significant reduction in seven amino acids (glycine, alanine, threonine, proline, ornithine, lysine, and asparagine). Conclusions The metabolic profile of neonates with NEC differs significantly from that of controls, making possible their separation with the use of targeted (LC–MS/MS) dried blood spots-based metabolomic analysis. Seven specific markers were identified for early detection and intervention.

Long-term physical inactivity induces significant changes in biochemical pathways related to metabolism of proteins and glycerophospholipids in mice.

Physical inactivity affects multiple organ systems, including the musculoskeletal system, which upsets the delicate balance of several secretory factors leading to metabolic derailment. This reduces contractile recruitment of the skeletal muscle with dampening of its oxidative capacity resulting in impaired intramuscular lipid metabolism and substrate utilization. We hypothesized that this altered phenotype would also have an indispensable effect on circulatory cytokines and the level of metabolic intermediates. In this study, comparison between sedentary (SED) and exercised (EXER) animal models showed that organismal metabolic parameters (body mass, oxygen utilization and glucose tolerance) are altered based on physical activity. Our data suggest that cytokines linked to glycemic excursions (insulin, c-peptide, glucagon) and their passive regulators (leptin, BDNF, active ghrelin, and GIP) exhibit changes in the SED group. Furthermore, some of the proinflammatory cytokines and myokines were upregulated in SED. Interestingly, serum metabolite analysis showed that the levels of glucogenic amino acids (alanine, glycine, tryptophan, proline and valine), nitrogenous amino acids (ornithine, asparagine, and glutamine) and myogenic metabolites (taurine, creatine) were altered due to the level of physical activity. A pyrimidine nucleoside (uridine), lipid metabolite (glycerol) and ketone bodies (acetoacetate and acetate) were found to be altered in SED. A Spearman rank correlation study between SED and CTRL showed that cytokines build a deformed network with metabolites in SED, indicating significant modifications in amino acids, phosphatidylinositol phosphate and glycerophospholipid metabolic pathways. Overall, long-term physical inactivity reorganizes the profile of proinflammatory cytokines, glucose sensing hormones, and protein and glycerophospholipid metabolism, which might be the initial factors of metabolic diseases due to SED.

Chapter 11 - White matter abnormalities in amino acid disorders and organic acidurias

Inborn errors of metabolism (IEMs) are traditionally the domain of pediatricians and internists for metabolic diseases. In general, neurologists only become involved when these disorders are complicated by neurologic symptoms such as seizures, developmental delay, or motor problems. However, in recent years and mainly due to the successes of next-generation sequencing, the number of IEMs primarily presenting with neurologic symptoms and not detected by classic biochemical testing has grown significantly. This in particular relates to disorders in the biosynthesis of amino acids. Therefore, I will start by discussing defects in the synthesis pathways of the amino acids serine, glutamine, proline, and asparagine. In these disorders, the amino acid can be low in body fluids with biochemical testing, but more frequently are completely normal and although are in different metabolic pathways, they share many clinical features such as hypomyelination and white matter abnormalities. Next, I will discuss classic amino acid disorders and organic acid disorders due to defects in breakdown pathways characterized by elevations of key metabolites in body fluids and associated with neurologic abnormalities and white matter changes on MRI.

Influence of nutrition medium composition on biosynthesis of agglutinins of Rhizoctonia solani RS

The influence of the composition of the nutrient medium on the yield of biomass and the biosynthesis of agglutinins of the mold fungus strain Rhizoctonia solani RS was studied. At the first stage of research, the agglutinin-producing micromycete strain was grown on liquid nutrient media (potato-glucose (PG), Chapek, Sabouraud) at a temperature of 28°C for 8 days. At the next stage of research, the composition of the culture medium was modified in order to select sources of nitrogen (NH4NO3, (NH4)2SO4, NaNO3, arginine, tryptophan, asparagine, threonine, peptone) and carbon (sucrose, glucose, starch) nutrition. Cultivation of the Rh. solani RS on a liquid PG medium, containing glucose in an amount of 20.0 g/l led to a maximum yield of fungal biomass of 23.58 ± 1.30 g/l and the production of its agglutinins (titer 16384). The studied micromycete strain was characterized by the ability to actively use the amino acids threonine or asparagine when added to the above nutrient medium in an amount of 0.1 mg/ml. At the same time, the hemagglutination activity of the micromycete agglutinins increased twofold (titer 32768) compared to the activity of agglutinins on the PG medium without the addition of amino acids (titer 16384).

An activity of flavonoid derived compounds from Medinilla speciosa as anti-hyperpigmentation against tyrosinase proteins with in silico methods

Parijoto (Medinilla speciosa), a typical plant from Indonesia, contains flavonoid compounds as antioxidants. It is able to depigment skin by inhibiting tyrosinase activity during melanogenesis, or melanin formation. Melanogenesis occurs through UV light exposure; it stimulates ROS production and triggers the formation of free radicals and melanogenesis. If not prevented, it will have negative impacts on health. Currently, there is no further research regarding the existence of flavonoid compound derivatives found in parijoto fruit. The aim of this research is to initially identify potential flavonoid derivative compounds as tyrosinase inhibitors using in silico methods. The results can be used as an initial reference for making products based on natural ingredients with minimal side effects. This research uses a bioinformatics approach with the molecular docking method of ligands towards proteins. The stages in this research include: downloading and preparing receptors and ligands; docking with Autodock Vina; visualization of results with Biovia Discovery Studio; data analysis; and discussion. The analysis is carried out by looking at the affinity energy values and complex conformation between the receptor-ligand. The results show flavonoid derivative compounds have the potential to act as tyrosinase inhibitors, as proven by compounds interactions with the active site of tyrosinase to produce the amino acid residues phenylalanine, proline, asparagine, arginine, and histamine. Produce respective affinity energy values, namely -8.9; -7.7; -7.6; -7.5; -7.5; and 7.4 kcal/mol for chalcone, catechin, flavonol, flavanol, flavone, and flavonone compounds. Meanwhile, the comparison compound used is kojic acid, with an affinity energy of -5.5 kcal/mol.

Plasma arginine levels in arginase deficiency in the “real world”

BackgroundDeficiency of arginase-1, the final enzyme in the urea cycle, causes a distinct clinical syndrome and is characterized biochemically by a high level of plasma arginine. While conventional therapy for urea cycle disorders can lower these levels to some extent, it does not normalize them. Until now, research on plasma arginine levels in this disorder has primarily relied on data from specialized tertiary centers, which limits the ability to assess the natural history and treatment efficacy of arginase-1 deficiency due to the small number of patients in each center and technical variations in plasma arginine measurements among different laboratories. MethodIn this study, we reported plasma arginine levels from 51 patients with arginase-1 deficiency in the database of Quest Diagnostics. The samples were collected from different US regions. ResultsThe mean plasma arginine level in these treated patients was 373 μmol/L and the median level was 368.4 μmol/L. Our data set from 30 arginase deficiency patients with plasma amino acid data from five or more collections revealed significant correlations between the levels of arginine and five other amino acids (citrulline, alanine, ornithine, glutamine, and asparagine). ConclusionDespite treatment, the arginine levels remained persistently elevated and did not change significantly with age, suggesting the current treatment regimen is inadequate to control arginine levels and underscoring the need to seek more effective treatments for this disorder.

A review of botanical, phytochemical, and pharmacological properties of Alcea rosea L.

Background and aims: This article was written to better introduce Alcea rosea as a valuable medicinal plant to the medical and pharmaceutical communities and the general public for industrial and traditional uses as a valuable medicinal plant. Methods: The results were gathered from scientific papers and databases to find flavonoids, phenolic acids, amino acids, fatty acids, anthocyanins, polysaccharides, and pharmacological activities in A. rosea. Sixty-two articles were found, and 51 were used for our final results. Results: Studies have shown that flowers, roots, seeds, and other parts of the plant exert antioxidant, antimicrobial, anti-inflammatory, cytotoxic, sedative, analgesic and anti-cough effects due to the presence of valuable phytochemical compounds such as anthocyanins, pectin, starch, monosaccharide, disaccharide, mucilage, flavonoids (hypolaetin-8-glucoside, isoquercitrin, kaempferol, caffeic acid, p-coumaric acid), coumarins, scopolamine, phytosterol, tannins, asparagine, and certain amino acids. Conclusion: Alcea rosea, as a rich source of secondary metabolites, can have diverse applications in medical and food research.

Cardiogenic Shock Integrated PHenotyping for Event Reduction: A Pilot Metabolomics Analysis.

Cardiogenic shock (CS) portends a dismal prognosis if hypoperfusion triggers uncontrolled inflammatory and metabolic derangements. We sought to investigate metabolomic profiles and temporal changes in IL6, Ang-2, and markers of glycocalyx perturbation from admission to discharge in eighteen patients with heart failure complicated by CS (HF-CS). Biological samples were collected from 18 consecutive HF-CS patients at admission (T0), 48 h after admission (T1), and at discharge (T2). ELISA analytical techniques and targeted metabolomics were performed Seven patients (44%) died at in-hospital follow-up. Among the survivors, IL-6 and kynurenine were significantly reduced at discharge compared to baseline. Conversely, the amino acids arginine, threonine, glycine, lysine, and asparagine; the biogenic amine putrescine; multiple sphingolipids; and glycerophospholipids were significantly increased. Patients with HF-CS have a metabolomic fingerprint that might allow for tailored treatment strategies for the patients' recovery or stabilization.