Metabolic Studies Research Articles

Metabolic imaging in living plants: A promising field for chemical exchange saturation transfer (CEST) MRI.

Magnetic resonance imaging (MRI) is a versatile technique in the biomedical field, but its application to the study of plant metabolism in vivo remains challenging because of magnetic susceptibility problems. In this study, we report the establishment of chemical exchange saturation transfer (CEST) for plant MRI. This method enables noninvasive access to the metabolism of sugars and amino acids in complex sink organs (seeds, fruits, taproots, and tubers) of major crops (maize, barley, pea, potato, sugar beet, and sugarcane). Because of its high signal detection sensitivity and low susceptibility to magnetic field inhomogeneities, CEST analyzes heterogeneous botanical samples inaccessible to conventional magnetic resonance spectroscopy. The approach provides unprecedented insight into the dynamics and distribution of sugars and amino acids in intact, living plant tissue. The method is validated by chemical shift imaging, infrared microscopy, chromatography, and mass spectrometry. CEST is a versatile and promising tool for studying plant metabolism in vivo, with many applications in plant science and crop improvement.

Transcriptome and metabolism study reveals impact of nitrogen fertilizer on triticale

Transcriptome and metabolism study reveals impact of nitrogen fertilizer on triticale

Synthesis, characterization, in vitro and in silico studies of N, N-dimethyl phenyl chalcone-Schiff’s base hybrid

Three dissimilar N, N-dimethylphenyl chalcone Schiff's base hybrids (CSBHs) were synthesized and characterized by nuclear magnetic resonance spectroscopy (NMR), Fourier transform infrared (FT-IR) and ultraviolet-visible spectroscopic techniques by the theoretical as well as investigational methods. The molecular weights of the CSBHs were also confirmed by the Electrospray ionization Mass technique. The in vitro antidiabetic, anti-inflammatory and cytotoxicity were tested for the CSBHs using α-amylase inhibitory and protein anti-denaturation methods. The CSBHs showed good antidiabetic and anti-inflammatory activities and the percentage of inhibitions is nearer to standard drugs acarbose and diclofenac sodium. The molecular docking studies for CSBHs were investigated and their docking results are superior and also density functional theory method are performed for CSBHs to support biological and molecular docking results. The CSBHs showed very good hydrogen bonding interactions with amino acid residues of the enzymes and the CSBHs showed lower band gap and higher electrophilicity index values. In addition, (ADMET) Absorption, Distribution, Metabolism, Excretion and Toxicity study and Protox-II toxicity predictions were performed to check the pharmacological properties of CSBHs.

Virtual Screening and Molecular Dynamics Simulation to Identify Inhibitors of the m6A-RNA Reader Protein YTHDC1

YTHDC1 (YTH domain containing 1), a crucial reader protein of N6-methyladenosine (m6A) mRNA, plays a critical role in various cellular functions and is considered a promising target for therapeutic intervention in acute myeloid leukemia and other cancers. In this study, we identified orthosteric small-molecule ligands for YTHDC1. Using a molecular docking approach, we screened the eMolecules database and recognized 15 top-ranked ligands. Subsequently, molecular dynamics simulations and MM/PBSA analysis were used to assess the stability and binding free energy of these potential hit compounds in complex with YTHDC1. Notably, five compounds with IDs of ZINC82121447, ZINC02170552, ZINC65274016, ZINC10763862, and ZINC02412146 exhibited high binding affinities and favorable binding free energies. The results also showed that these compounds formed strong hydrogen bonds with residues SER378, ASN363, and ASN367 and interacted with the aromatic cage of the YTHDC1 reader protein through TRP377, TRP428, and hydrophobic residue LEU439. To assess their viability as lead compounds, we conducted absorption, distribution, metabolism, excretion, and toxicity (ADMET) studies to reveal promising features for these identified small molecules, shedding light on their pharmacokinetic and safety profiles.

Role of skin enzymes in metabolism of topical drugs

Topical drugs have gained a lot of interest with their massive market growth and are available in various dosage forms. Prodrug compounds of transdermal delivery systems can be very different and designed to convert into the form of active pharmaceutical ingredients (APIs) through enzymatic action once they enter the body. The skin, as an interfacial barrier between the body and surroundings, has demonstrated critical roles in metabolizing, filtering, and detoxifying to minimize certain side effects and improve the medication benefits of topically administered products. It is well recognized that the drug pharmacokinetics can be altered by the presence of skin enzymes driven by biotransformation reactions. To evaluate the effectiveness of a topical generic drug product, its safety, and bioequivalence with the reference one, models assessing enzyme metabolic activity are highly required for testing the amount of drugs that are metabolized or can potentially be metabolized in both healthy and compromised skin. Thus, knowledge of skin composition and enzyme expression levels is of paramount importance in mapping the relevant metabolism that may have occurred. Regulatory authorities have also been making efforts to develop efficient and harmonizable protocols to evaluate the metabolism of transdermal products. This review is a compilation of reported skin metabolizing enzymes, including their role in both drug metabolism and homeostasis regulation, along with their localization and quantification in skin equivalents (and/or membrane layers). Various aspects that potentially affect the skin enzyme metabolism study were also discussed with respect to drug development considerations.

Bibliometric Insights into Research Hotspots and Trends in Obesity and Asthma from 2013 to 2023

Introduction: Obesity and asthma are closely linked, but the current state of research on this topic and future research directions have yet to be comprehensively explored. This study aims to provide an up-to-date overview of the research landscape in the field of obesity and asthma. Methods: A bibliometric analysis was conducted using the Web of Science Core Collection database to identify papers published on obesity and asthma between 2013 and 2023. VOSviewer software was utilized for statistical analysis and visualization of collaborative networks, research trends, literature sources, citation analysis, co-citation analysis, and keyword analysis. Results: A total of 3,406 records from 1,010 journals authored by 17,347 researchers affiliated with 4,573 institutes across 117 countries and regions were retrieved. The number of publications and citations increased annually. The USA and China contributed the majority of records. Major nodes in the collaboration network map included Harvard Medical School, Johns Hopkins University, University of Newcastle, Karolinska Institution, University of Toronto, and Seoul National University. Prolific authors included Anne E. Dixon, Erick Forno, Lisa G. Wood, Deepa Rastogi, and Fernando Holguin. Research trends and hotspots focused on metabolism studies, Mendelian randomization, gut microbiome, inflammation response, gene, biomarker research, and comorbidities were identified as potential future research frontiers. Conclusion: This study provides a comprehensive overview of the current research status and trends in the field of obesity and asthma. Our findings highlight the importance of understanding collaboration patterns, research hotspots, and emerging frontiers to guide future research in this area.

Correlating NAD(P)H lifetime shifts to tamoxifen resistance in breast cancer cells: A metabolic screening study with time-resolved flow cytometry

Time-resolved flow cytometry (TRFC) was used to measure metabolic differences in estrogen receptor-positive breast cancer cells. This specialty cytometry technique measures fluorescence lifetimes as a single-cell parameter thereby providing a unique approach for high-throughput cell counting and screening. Differences in fluorescence lifetime were detected and this was associated with sensitivity to the commonly prescribed therapeutic tamoxifen. Differences in fluorescence lifetime are attributed to the binding states of the autofluorescent metabolite NAD(P)H. The function of NAD(P)H is well described and in general involves cycling from a reduced to oxidized state to facilitate electron transport for the conversion of pyruvate to lactate. NAD(P)H fluorescence lifetimes depend on the bound or unbound state of the metabolite, which also relates to metabolic transitions between oxidative phosphorylation and glycolysis. To determine if fundamental metabolic profiles differ for cells that are sensitive to tamoxifen compared to those that are resistant, large populations of MCF-7 breast cancer cells were screened and fluorescence lifetimes were quantified. Additionally, metabolic differences associated with tamoxifen sensitivity were measured with a Seahorse HS mini metabolic analyzer (Agilent Technologies Inc. Santa Clara, CA) and confocal imaging. Results show that tamoxifen-resistant breast cancer cells have increased utilization of glycolysis for energy production compared to tamoxifen-sensitive breast cancer cells. This work is impacting because it establishes an early step toward developing a reliable screening technology in which large cell censuses can be differentiated for drug sensitivity in a label-free fashion.

Technologies for Decoding Cancer Metabolism with Spatial Resolution.

It is increasingly appreciated that cancer cells adapt their metabolic pathways to support rapid growth and proliferation as well as survival, often even under the poor nutrient conditions that characterize some tumors. Cancer cells can also rewire their metabolism to circumvent chemotherapeutics that inhibit core metabolic pathways, such as nucleotide synthesis. A critical approach to the study of cancer metabolism is metabolite profiling (metabolomics), the set of technologies, usually based on mass spectrometry, that allow for the detection and quantification of metabolites in cancer cells and their environments. Metabolomics is a burgeoning field, driven by technological innovations in mass spectrometers, as well as novel approaches to isolate cells, subcellular compartments, and rare fluids, such as the interstitial fluid of tumors. Here, we discuss three emerging metabolomic technologies: spatial metabolomics, single-cell metabolomics, and organellar metabolomics. The use of these technologies along with more established profiling methods, like single-cell transcriptomics and proteomics, is likely to underlie new discoveries and questions in cancer research.

Design, Synthesis, Investigation, and Biological Activity Assessments of (4-Substituted-Phenyl)-N-(3-morpholinopropyl)-3-phenylthiazol-2(3H)-imine Derivatives as Antifungal Agents.

In this study, a series of novel thiazol-2(3H)-imine (2a-2j) were designed, synthesized, and characterized by means of 1H NMR, 13C NMR, and HRMS spectral analyses. In vitro antifungal activity was performed using a modified EUCAST protocol. Two of the synthesized compounds (2d and 2e) showed activity against Candida albicans and Candida parapsilosis. Compound 2e showed activity against C. parapsilosis (MIC50 = 1.23 μg/mL) for 48 h. This value is very similar to ketoconazole. The dynamic analysis of the potential compounds 2d and 2e revealed notable stability while interacting with the 14α-demethylase enzyme substrate. The absorption, distribution, metabolism, and excretion (ADME) studies of the candidate compound showed acceptable ADME parameter data and verified their drug-likeness characteristics. According to the results of this study, compound 4-(4-fluorophenyl)-N-(3-morpholinopropyl)-3-phenylthiazol-2(3H)-imine (2e) and its derivatives as 14α-demethylase inhibitors can be used as a new antifungal for further structural improvements and additional research.

Optimal fasting duration for mice as assessed by metabolic status

In the study of obesity and diabetes, mice are widely used for experimental research, and fasting is a common procedure used to reset metabolism in mouse models. The fasting duration for experimental mice varies greatly in nutritional and metabolic studies, ranging from 2 to 48 h. This study aims to assess the optimal fasting duration for mice fed low- and high-fat diets over a short period of time. C57BL/6J mice were fed a low-fat diet (LFD) or high-fat diet (HFD) and fasted for 4, 6, 8, 10, 12, or 24 h. The effects of different conditions after fasting on the metabolic level of mice were explored, and the data were collected for analysis. Our data indicate that fasting has inconsistent effects on mice fed a low-fat or high-fat diet. To compare the metabolic differences between mice in different dietary levels and thereby secure better scientific data, mice should fast for 6 h in animal experiments. Fasting for 6 h is also recommended when comparing glucose tolerance with insulin tolerance.

Stability studies of β-Amino- and β-Hydroxy difluoromethyl ketones in rat serum and rat liver microsomes

Although difluoromethyl ketones are used as tools in chemical biology and leads in drug discovery, the metabolic stability of these compounds is generally uncharacterized and must be inferred from in vivo pharmacological assays. In order to address this gap which impedes their wider use, we have synthesized and performed metabolic stability studies for thirty-nine β-amino and β-hydroxy difluoromethyl ketones. These investigations provide structure–stability relationships of the difluoromethyl ketones following incubation with rodent serum and liver microsomes.

321 Application of the Fick Principle for the study of visceral nutrient absorption and metabolism

Abstract In 1870, Adolf Fick introduced the concept for the calculation of cardiac output by measuring gas exchange in the lungs at a meeting of the Würzburg Physiology and Medical Society. It was not until around 1930 after the development of cardiac catheterization that it was fully verified. Fick’s equation also serves as the basis for all indicator dilution methods for measuring blood flow and has been applied to several tissues throughout the body. By measuring the blood concentration of nutrients supplying and draining a tissue bed, coupled with the flow of blood, the net nutrient exchange can be calculated. Researchers first began investigating the movement of nutrients into the portal system of ruminants in the 1950s and the first method for measuring nutrient exchange in small ruminants was published in the 1960s. This approach requires the implantation of vascular catheters into an artery and the hepatic portal vein which drains the stomach, intestines, and spleen. An additional catheter is implanted upstream in a mesenteric vein for infusion of a blood flow marker, and the addition of a catheter in a hepatic vein allows the measure of blood flow and nutrient transfer in the liver. These methods were adapted for calves and dairy cows in the 1970s. The 1980s brought further refinement of the methodologies such as improved catheter materials allowing animals to be maintained for extended periods and, several researchers published data from cattle, sheep, and goats. These methods have been coupled with measures of ruminal and intestinal disappearance as well as isotopic tracers to examine nutrient exchange and metabolism by tissues. The goal of this presentation is to review the development of this approach for studying nutrient absorption in vivo, and to highlight specific advancements in its application.

Considerations for Using Neuroblastoma Cell Lines to Examine the Roles of Iron and Ferroptosis in Neurodegeneration.

Ferroptosis is an iron-dependent form of programmed cell death that is influenced by biological processes such as iron metabolism and senescence. As brain iron levels increase with aging, ferroptosis is also implicated in the development of age-related pathologic conditions such as Alzheimer's disease (AD) and related dementias (ADRD). Indeed, inhibitors of ferroptosis have been shown to be protective in models of degenerative brain disorders like AD/ADRD. Given the inaccessibility of the living human brain for metabolic studies, the goal of this work was to characterize an in vitro model for understanding how aging and iron availability influence neuronal iron metabolism and ferroptosis. First, the human (SH-SY5Y) and mouse (Neuro-2a) neuroblastoma lines were terminally differentiated into mature neurons by culturing in all-trans-retinoic acid for at least 72 h. Despite demonstrating all signs of neuronal differentiation and maturation, including increased expression of the iron storage protein ferritin, we discovered that differentiation conferred ferroptosis resistance in both cell lines. Gene expression data indicates differentiated neurons increase their capacity to protect against iron-mediated oxidative damage by augmenting cystine import, and subsequently increasing intracellular cysteine levels, to promote glutathione production and glutathione peroxidase activity (GPX). In support of this hypothesis, we found that culturing differentiated neurons in cysteine-depleted media sensitized them to GPX4 inhibition, and that these effects are mitigated by cystine supplementation. Such findings are important as they provide guidance for the use of in vitro experimental models to investigate the role of ferroptosis in neurodegeneration in pathologies such as ADRD.

374 Efficacy of phytase and/or chromium tripicolinate supplementation on nutrient digestibility and blood metabolites in grower pigs

Abstract Phytase supplementation is widely used in diet formulations to enhance nutrient use efficiency in pigs, while supplemental chromium tripicolinate has been shown to help optimize glucose metabolism by enhancing insulin sensitivity. Therefore, the objectives of this metabolism study were to examine potential synergies of these additives to evaluate if nutrient digestibility and/or blood metabolites could be improved in grower pigs. Grower pigs [n = 6; body weight (BW) = 21.8 ± 0.19 kg; Genesus genetics] were randomly allotted by initial BW to four treatments in a 2 x 2 factorial arrangement of treatments. Treatment (Trt) 1 consisted of a control diet without phytase while Trt 2 had decreased levels of calcium and phosphorus with added phytase (1,500 FYT/kg; HiPhorius; dsm-firmenich, Plainsboro, NJ). Treatment 3 was the control diet without phytase with added chromium from chromium tripicolinate (200 ppb; Chromax, Kent Nutrition Group, Inc., Muscatine, IA) while Trt 4 consisted of the diets with decreased levels of calcium and phosphorus with added HiPhorius (1,500 FYT/kg) and chromium tripicolinate (200 ppb). With six metabolism crates available and four treatment groups, it took a 4-wk duration to allow for each pig to be evaluated on each of the four treatments. The pigs were allowed a 4-d acclimation period followed by a 3-d collection period with the experimental diets fed at 4% BW divided into two meals each day. Water was added at 2.5 times the amount of feed fed each day. A second group of grower pigs (n = 6; BW = 19.6 ± 0.12 kg; Genesus) were utilized following the same procedures as above and pooled with the first group for data analysis. On the last day of the collection period, blood samples were collected before the meal (fasting) and then 2 h after the meal (post-meal). Added phytase resulted in a reduction (P < 0.05) in fasting blood urea nitrogen. Nitrogen digestibility and nitrogen retention were both improved (P < 0.01) with pigs fed supplemental phytase. Furthermore, dry matter digestibility was also improved (P < 0.001) in pigs fed added phytase. Supplemental chromium was without effect on any of the nitrogen and/or dry matter digestibility measurements. These data suggest that supplemental phytase has positive effects by significantly improving nitrogen and dry matter digestibility with no further improvements observed from supplemental chromium.

Discovery of novel dihydro-pyrimidine hybrids: insight into the design, synthesis, biological evaluation and absorption, distribution, metabolism and excretion studies.

Aim: By keeping in aspects, the pharmacological potential of heterocyclic compounds, pyrimidine-based compounds were designed, synthesized and evaluated for α-amylase inhibitory potential.Materials & methods: Five new series 1a-l, 2a-d, 3a-d, 4a-d and 5a-d of 1,2,3,4-tetrahydroprimidine-5-carboxylate derivatives were designed by de novo method by taking Alogliptin as reference compound. Here in we describe synthesis and characterization of compounds as potential α-amylase inhibitor.Results: Structure activity relationship (SAR), in vitro analysis and molecular modelling approaches generate compounds 1h, 1i, 1k and 4c as potential lead with good α-amylase inhibitory selection. However, compound 1k failed the criteria of optimization as drug lead by ADME studies while all other compounds showed optimum range for all in silico ADME parameters.Conclusion: Therefore, these compounds can serve as potential lead candidate in developing anti-diabetic therapy.

Metabolic and Pharmacokinetic Profiling Studies of N, N-Dimethylaniline-Heliamine in Rats by UHPLC-Q-Orbitrap MS/MS.

Cardiovascular disease is the first cause of death worldwide and kills more people each year than any other cause of death. N, N-dimethylaniline-heliamine (DH), a synthetic tetrahydroisoquinoline alkaloid, has shown notable antiarrhythmic activity. However, the metabolic processes and pharmacokinetic characteristics of DH in rats have not been studied. This study aims to identify its metabolites, as well as develop and validate a rapid and efficient bioanalytical method for quantifying DH in rat plasma over a wide range of concentrations. Its metabolites were characterized in silico, in vitro, and in vivo. A series of 16 metabolites were identified, of which 12 were phase I metabolites and 4 were phase II metabolites. A low probability of DH binding to DNA, protein, and glutathione is predicted by the in silico model. The main metabolic processes of DH were demethylation, dehydrogenation, glucuronidation, and sulfation. Concentration-time profiles were generated by analyzing the plasma, and the outcomes were analyzed via non-compartmental analysis to identify the pharmacokinetic parameters. Among the detected parameters were the volume of distribution, estimated at 126,728.09 ± 56,867.09 mL/kg, clearance at 30,148.65 ± 15,354.27 mL/h/kg, and absolute oral bioavailability at 16.11%. The plasma distribution volume of DH was substantially higher than the overall plasma volume of rats, which suggests that DH has a specific tissue distribution in rats. This study suggests that DH is appropriately bioavailable and excreted via a variety of routes and has low toxicity.

Transcriptomic analyses of bacterial growth on fungal necromass reveal different microbial community niches during degradation.

Bacteria are major drivers of organic matter decomposition and play crucial roles in global nutrient cycling. Although the degradation of dead fungal biomass (necromass) is increasingly recognized as an important contributor to soil carbon (C) and nitrogen (N) cycling, the genes and metabolic pathways involved in necromass degradation are less characterized. In particular, how bacteria degrade necromass containing different quantities of melanin, which largely control rates of necromass decomposition in situ, is largely unknown. To address this gap, we conducted a multi-timepoint transcriptomic analysis using three Gram-negative, bacterial species grown on low or high melanin necromass of Hyaloscypha bicolor. The bacterial species, Cellvibrio japonicus, Chitinophaga pinensis, and Serratia marcescens, belong to genera known to degrade necromass in situ. We found that while bacterial growth was consistently higher on low than high melanin necromass, the CAZyme-encoding gene expression response of the three species was similar between the two necromass types. Interestingly, this trend was not shared for genes encoding nitrogen utilization, which varied in C. pinensis and S. marcescens during growth on high vs low melanin necromass. Additionally, this study tested the metabolic capabilities of these bacterial species to grow on a diversity of C and N sources and found that the three bacteria have substantially different utilization patterns. Collectively, our data suggest that as necromass changes chemically over the course of degradation, certain bacterial species are favored based on their differential metabolic capacities.IMPORTANCEFungal necromass is a major component of the carbon (C) in soils as well as an important source of nitrogen (N) for plant and microbial growth. Bacteria associated with necromass represent a distinct subset of the soil microbiome and characterizing their functional capacities is the critical next step toward understanding how they influence necromass turnover. This is particularly important for necromass varying in melanin content, which has been observed to control the rate of necromass decomposition across a variety of ecosystems. Here we assessed the gene expression of three necromass-degrading bacteria grown on low or high melanin necromass and characterized their metabolic capacities to grow on different C and N substrates. These transcriptomic and metabolic studies provide the first steps toward assessing the physiological relevance of up-regulated CAZyme-encoding genes in necromass decomposition and provide foundational data for generating a predictive model of the molecular mechanisms underpinning necromass decomposition by soil bacteria.

Simultaneous determination of canonical purine metabolism using a newly developed HILIC-MS/MS in cultured cells

Purine metabolism acts as the core role in human metabolic network. It offers purine metabolites as raw material for building blocks in cell survival and proliferation. Purine metabolites are the most abundant metabolic substrates in organisms. There are few reports to simultaneously quantify canonical purine metabolism in cells. A novel hydrophilic interaction liquid chromatography coupled with mass spectrometry (HILIC-MS/MS) method was developed to simultaneously determine purines profile in biological samples. Chromatographic separation was achieved using a HILIC (Waters Xbridge™ Amide) column. Different optimizing chromatographic conditions and mass spectrometric parameters were tested in order to provide the best separation and the lowest limit of quantification (LLOQ) values for targeted metabolites. The validation was evaluated according to the Food and Drug Administration guidelines. The limit of determination (LOD) and the LOQ values were in the range of 0.02–8.33 ng mL−1 and 0.1–24.5 ng mL−1, respectively. All calibration curves displayed good linear relationship of with excellent correlation coefficient (r) ranging from 0.9943 to 0.9999. Both intra-day and inter-day variability were below 15 %, respectively. Trueness, expressed as relative error, was always within ±15 %. In addition, no derivatization procedure and ion-pair reagents are in need. The innovated approach demonstrates high sensitivity, strong specificity, and good repeatability, making it suitable for absolute quantitative studies of canonical purine metabolism in cultured cells.

Computational exploration of compounds in Xylocarpus granatum as a potential inhibitor of Plasmodium berghei using docking, molecular dynamics, and DFT studies

Malaria remains a global health concern, with the emergence of resistance to the antimalarial drug atovaquone through cytochrome b (cyt b) being well-documented. This study was prompted by the presence of this mutation in cyt b to enable new drug candidates capable of overcoming drug resistance. Our objective was to identify potential drug candidates from compounds of Xylocarpus granatum by computationally assessing their interactions with Plasmodium berghei cyt b. Using computational methods, we modeled cyt b (GenBank: AF146076.1), identified the binding cavity, and analyzed the Ramachandran plot against cyt b. Additionally, we conducted drug-likeness and absorption, distribution, metabolism, excretion, and toxicity (ADMET) studies, along with density functional theory (DFT) analysis of the compounds. Molecular docking and molecular dynamics simulation (MDS) were used to evaluate the binding energy and stability of the cyt b-ligand complex. Notably, our investigation highlighted kaempferol as a promising compound due to its high binding energy of 7.67 kcal/mol among all X. granatum compounds, coupled with favorable pharmacological properties (ADMET) and antiprotozoal properties at Pa 0.345 > Pi 0.009 (PASS value). DFT analysis showed that kaempferol has an energy gap of 4.514 eV. MDS indicated that all tested ligands caused changes in bonding and affected the structural conformation of cyt b, as observed before MDS (0 ns) and after MDS (100 ns). The most notable differences were observed in the types of hydrogen bonds between 0 and 100 ns. Nevertheles, MDS results from a 100 ns simulation revealed consistent behavior for kaempferol across various parameters including root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), solvent-accessible surface area (SASA), molecular mechanics-Poisson Boltzmann surface area (MM-PBSA), and hydrogen bonds. The cyt b-kaempferol complex demonstrated favorable energy stability, as supported by the internal energy distribution values observed in principal component analysis (PCA), which closely resembled those of the atovaquone control. Additionally, trajectory stability analysis indicated structural stability, with a cumulative eigenvalue of 24.7 %. Dynamic cross-correlation matrix (DCCM) analysis revealed a positive correlation among catalytic cytochrome residues within the amino acid residues range 119–268. The results of our research indicate that the structure of kaempferol holds promise as a potential candidate against Plasmodium.

High-nitrogen-induced γ-aminobutyric acid triggers host immunity and pathogen oxidative stress tolerance in tomato and Ralstonia solanacearum interaction.

Soil nitrogen (N) significantly influences the interaction between plants and pathogens, yet its impact on host defenses and pathogen strategies via alterations in plant metabolism remains unclear. Through metabolic and genetic studies, this research demonstrates that high-N-input exacerbates tomato bacterial wilt by altering γ-aminobutyric acid (GABA) metabolism of host plants. Under high-N conditions, the nitrate sensor NIN-like protein 7 (SlNLP7) promotes the glutamate decarboxylase 2/4 (SlGAD2/4) transcription and GABA synthesis by directly binding to the promoters of SlGAD2/4. The tomato plants with enhanced GABA levels showed stronger immune responses but remained susceptible to Ralstonia solanacearum. This led to the discovery that GABA produced by the host actually heightens the pathogen's virulence. We identified the R. solanacearum LysR-type transcriptional regulator OxyR protein, which senses host-derived GABA and, upon interaction, triggers a response involving protein dimerization that enhances the pathogen's oxidative stress tolerance by activating the expression of catalase (katE/katGa). These findings reveal GABA's dual role in activating host immunity and enhancing pathogen tolerance to oxidative stress, highlighting the complex relationship between tomato plants and R. solanacearum, influenced by soil N status.