PubMed

Biochem Biophys Res Commun. 2023 Sep 29;682:1-20. doi: 10.1016/j.bbrc.2023.09.064. Online ahead of print.ABSTRACTMetabolic disorders are increasingly prevalent worldwide, leading to high rates of morbidity and mortality. The variety of metabolic illnesses can be addressed through personalized medicine. The goal of personalized medicine is to give doctors the ability to anticipate the best course of treatment for patients with metabolic problems. By analyzing a patient's metabolomic, proteomic, genetic profile, and clinical data, physicians can identify relevant diagnostic, and predictive biomarkers and develop treatment plans and therapy for acute and chronic metabolic diseases. To achieve this goal, real-time modeling of clinical data and multiple omics is essential to pinpoint underlying biological mechanisms, risk factors, and possibly useful data to promote early diagnosis and prevention of complex diseases. Incorporating cutting-edge technologies like artificial intelligence and machine learning is crucial for consolidating diverse forms of data, examining multiple variables, establishing databases of clinical indicators to aid decision-making, and formulating ethical protocols to address concerns. This review article aims to explore the potential of personalized medicine utilizing omics approaches for the treatment of metabolic disorders. It focuses on the recent advancements in genomics, epigenomics, proteomics, metabolomics, and nutrigenomics, emphasizing their role in revolutionizing personalized medicine.PMID:37788525 | DOI:10.1016/j.bbrc.2023.09.064

Mol Hortic. 2021 Oct 11;1(1):13. doi: 10.1186/s43897-021-00016-7.ABSTRACTPetals and leaves share common evolutionary origins but have different phenotypic characteristics, such as the absence of stomata in the petals of most angiosperm species. Plant NAC transcription factor, NAP, is involved in ABA responses and regulates senescence-associated genes, and especially those that affect stomatal movement. However, the regulatory mechanisms and significance of NAP action in senescing astomatous petals is unclear. A major limiting factor is failure of flower opening and accelerated senescence. Our goal is to understand the finely regulatory mechanism of dehydration tolerance and aging in rose flowers. We functionally characterized RhNAP, an AtNAP-like transcription factor gene that is induced by dehydration and aging in astomatous rose petals. Cytokinins (CKs) are known to delay petal senescence and we found that a cytokinin oxidase/dehydrogenase gene 6 (RhCKX6) shares similar expression patterns with RhNAP. Silencing of RhNAP or RhCKX6 expression in rose petals by virus induced gene silencing markedly reduced petal dehydration tolerance and delayed petal senescence. Endogenous CK levels in RhNAP- or RhCKX6-silenced petals were significantly higher than those of the control. Moreover, RhCKX6 expression was reduced in RhNAP-silenced petals. This suggests that the expression of RhCKX6 is regulated by RhNAP. Yeast one-hybrid experiments and electrophoresis mobility shift assays showed that RhNAP binds to the RhCKX6 promoter in heterologous in vivo system and in vitro, respectively. Furthermore, the expression of putative signal transduction and downstream genes of ABA-signaling pathways were also reduced due to the repression of PP2C homolog genes by RhNAP in rose petals. Taken together, our study indicates that the RhNAP/RhCKX6 interaction represents a regulatory step enhancing dehydration tolerance in young rose petals and accelerating senescence in mature petals in a stomata-independent manner.PMID:37789474 | DOI:10.1186/s43897-021-00016-7

Mol Hortic. 2022 Jul 23;2(1):17. doi: 10.1186/s43897-022-00038-9.ABSTRACTOver the past decade, systems biology and plant-omics have increasingly become the main stream in plant biology research. New developments in mass spectrometry and bioinformatics tools, and methodological schema to integrate multi-omics data have leveraged recent advances in proteomics and metabolomics. These progresses are driving a rapid evolution in the field of plant research, greatly facilitating our understanding of the mechanistic aspects of plant metabolisms and the interactions of plants with their external environment. Here, we review the recent progresses in MS-based proteomics and metabolomics tools and workflows with a special focus on their applications to plant biology research using several case studies related to mechanistic understanding of stress response, gene/protein function characterization, metabolic and signaling pathways exploration, and natural product discovery. We also present a projection concerning future perspectives in MS-based proteomics and metabolomics development including their applications to and challenges for system biology. This review is intended to provide readers with an overview of how advanced MS technology, and integrated application of proteomics and metabolomics can be used to advance plant system biology research.PMID:37789425 | DOI:10.1186/s43897-022-00038-9

Mol Hortic. 2023 Sep 26;3(1):18. doi: 10.1186/s43897-023-00067-y.ABSTRACTCell heterogeneity shapes the morphology and function of various tissues and organs in multicellular organisms. Elucidation of the differences among cells and the mechanism of intercellular regulation is essential for an in-depth understanding of the developmental process. In recent years, the rapid development of high-throughput single-cell transcriptome sequencing technologies has influenced the study of plant developmental biology. Additionally, the accuracy and sensitivity of tools used to study the epigenome and metabolome have significantly increased, thus enabling multi-omics analysis at single-cell resolution. Here, we summarize the currently available single-cell multi-omics approaches and their recent applications in plant research, review the single-cell based studies in fruit, vegetable, and ornamental crops, and discuss the potential of such approaches in future horticulture research.PMID:37789394 | DOI:10.1186/s43897-023-00067-y

BMC Plant Biol. 2023 Oct 3;23(1):458. doi: 10.1186/s12870-023-04480-9.ABSTRACTBACKGROUND: Duckweeds are small, rapidly growing aquatic flowering plants. Due to their ability for biomass production at high rates they represent promising candidates for biofuel feedstocks. Duckweeds are also excellent model organisms because they can be maintained in well-defined liquid media, usually reproduce asexually, and because genomic resources are becoming increasingly available. To demonstrate the utility of duckweed for integrated metabolic studies, we examined the metabolic adaptation of growing Lemna gibba cultures to different nutritional conditions.RESULTS: To establish a framework for quantitative metabolic research in duckweeds we derived a central carbon metabolism network model of Lemna gibba based on its draft genome. Lemna gibba fronds were grown with nitrate or glutamine as nitrogen source. The two conditions were compared by quantification of growth kinetics, metabolite levels, transcript abundance, as well as by 13C-metabolic flux analysis. While growing with glutamine, the fronds grew 1.4 times faster and accumulated more protein and less cell wall components compared to plants grown on nitrate. Characterization of photomixotrophic growth by 13C-metabolic flux analysis showed that, under both metabolic growth conditions, the Calvin-Benson-Bassham cycle and the oxidative pentose-phosphate pathway are highly active, creating a futile cycle with net ATP consumption. Depending on the nitrogen source, substantial reorganization of fluxes around the tricarboxylic acid cycle took place, leading to differential formation of the biosynthetic precursors of the Asp and Gln families of proteinogenic amino acids. Despite the substantial reorganization of fluxes around the tricarboxylic acid cycle, flux changes could largely not be associated with changes in transcripts.CONCLUSIONS: Through integrated analysis of growth rate, biomass composition, metabolite levels, and metabolic flux, we show that Lemna gibba is an excellent system for quantitative metabolic studies in plants. Our study showed that Lemna gibba adjusts to different nitrogen sources by reorganizing central metabolism. The observed disconnect between gene expression regulation and metabolism underscores the importance of metabolic flux analysis as a tool in such studies.PMID:37789269 | DOI:10.1186/s12870-023-04480-9

Sci Rep. 2023 Oct 3;13(1):16578. doi: 10.1038/s41598-023-43824-1.ABSTRACTBurkholderia pseudomallei, an etiological agent of melioidosis is an environmental bacterium that can survive as an intracellular pathogen. The biofilm produced by B. pseudomallei is crucial for cellular pathogenesis of melioidosis. The purpose of this investigation is to explore the role of biofilm in survival of B. pseudomallei during encounters with Acanthamoeba sp. using B. pseudomallei H777 (a biofilm wild type), M10 (a biofilm defect mutant) and C17 (a biofilm-complemented strain). The results demonstrated similar adhesion to amoebae by both the biofilm wild type and biofilm mutant strains. There was higher initial internalisation, but the difference diminished after longer encounter with the amoeba. Interestingly, confocal laser scanning microscopy demonstrated that pre-formed biofilm of B. pseudomallei H777 and C17 were markedly more persistent in the face of Acanthamoeba sp. grazing than that of M10. Metabolomic analysis revealed a significant increased level of 8-O-4'-diferulic acid, a superoxide scavenger metabolite, in B. pseudomallei H777 serially passaged in Acanthamoeba sp. The interaction between B. pseudomallei with a free-living amoeba may indicate the evolutionary pathway that enables the bacterium to withstand superoxide radicals in intracellular environments. This study supports the hypothesis that B. pseudomallei biofilm persists under grazing by amoebae and suggests a strategy of metabolite production that turns this bacterium from saprophyte to intracellular pathogen.PMID:37789212 | DOI:10.1038/s41598-023-43824-1

Chem Biodivers. 2023 Oct 3:e202301135. doi: 10.1002/cbdv.202301135. Online ahead of print.ABSTRACTOne of the endangered plant species in Saint Catherine protectorate is Hypericum sinaicum Boiss which is endemic to Egypt, Jordan, and Saudi Arabia. The fungus-host relationship can assist in the investigation of bioactive compounds produced by H. sinaicum paving the way for economic and medicinal implications. Therefore, a comprehensive metabolic approach via MS and chemical analysis was used to track and compare metabolites from H. sinaicum and Aspergillus foetidus var. pallidus, the endophytic fungus, with Hypericum perforatum. Metabolomics analysis revealed the presence of 25 metabolites distributed among samples and the discovery of new chemotaxonomic compounds, i.e., phloroglucinols and xanthones, allowing the discrimination between species. A. foetidus extract is considered a reliable source of furohyperforin and naphthodianthrone derivatives. In conclusion, using A. foetidus as an in vitro technique for producing potential phytoconstituents was cost effective, having easier optimization conditions and faster growth with fewer contamination rates than other in vitro methods.PMID:37788977 | DOI:10.1002/cbdv.202301135

Microbiol Spectr. 2023 Oct 3:e0142223. doi: 10.1128/spectrum.01422-23. Online ahead of print.ABSTRACTInsect sepsis is a severe consequence that arises from the invasion of the hemocoel by symbionts of entomopathogenic nematodes and bacteria. In the present study, we unveiled the heightened virulence of the entomopathogenic nematode Steinernema feltiae and the entomopathogenic bacteria Xenorhabdus bovienii, which operate symbiotically, against the wax moth Galleria mellonella. Maximum mortality was observed at 25°C while the optimal infestation efficiency was 20 nematodes per host. After infestation, G. mellonella displayed rapid darkening and softening, accompanied by an escalated esterase activity at 9 h. The X. bovienii, released by S. feltiae, underwent substantial proliferation and discharged toxins that attacked hemocytes, thus triggering extensive hemolysis and sepsis. The host G. mellonella was usually killed within 24 h due to disseminated septicemia. Additionally, X. bovienii infestation led to the upregulation of metabolites like 3-hydroxyanthranilic acid. Strikingly, we identified the perilous actinomycin D, generated through kynurenine metabolites, representing a novel biomarker of insect sepsis. Furthermore, a comprehensive transcriptomic analysis unveiled a noteworthy upregulation of gene expression associated with actinomycin D. Overall, X. bovienii induced apoptosis and sepsis through actinomycin D production, indicating its pivotal role in infestation activity. These findings open up new avenues for studying the mechanism of sepsis and developing innovative biotic pesticides. IMPORTANCE As a current biocontrol resource, entomopathogenic nematodes and their symbiotic bacterium can produce many toxin factors to trigger insect sepsis, having the potential to promote sustainable pest management. In this study, we found Steinernema feltiae and Xenorhabdus bovienii were highly virulent against the insects. After infective juvenile injection, Galleria mellonella quickly turned black and softened with increasing esterase activity. Simultaneously, X. bovienii attacked hemocytes and released toxic components, resulting in extensive hemolysis and sepsis. Then, we applied high-resolution mass spectrometry-based metabolomics and found multiple substances were upregulated in the host hemolymph. We found extremely hazardous actinomycin D produced via 3-hydroxyanthranilic acid metabolites. Moreover, a combined transcriptomic analysis revealed that gene expression of proteins associated with actinomycin D was upregulated. Our research revealed actinomycin D might be responsible for the infestation activity of X. bovienii, indicating a new direction for exploring the sepsis mechanism and developing novel biotic pesticides.PMID:37787562 | DOI:10.1128/spectrum.01422-23

J Periodontal Res. 2023 Oct 3. doi: 10.1111/jre.13183. Online ahead of print.ABSTRACTOBJECTIVE: The aim of this study was to investigate metabolomics markers in the saliva of patients with periodontal health, gingivitis and periodontitis.BACKGROUND: The use of metabolomics for diagnosing and monitoring periodontitis is promising. Although several metabolites have been reported to be altered by inflammation, few studies have examined metabolomics in saliva collected from patients with different periodontal phenotypes.METHODS: Saliva samples collected from a total of 63 patients were analysed by nuclear magnetic resonance (NMR) followed by ELISA for interleukin (IL)-1β. The patient sample, well-characterised clinically, included periodontal health (n = 8), gingivitis (n = 19) and periodontitis (n = 36) cases, all non-smokers and not diabetic.RESULTS: Periodontal diagnosis (healthy/gingivitis/periodontitis) was not associated with any salivary metabolites in this exploratory study. Periodontal staging showed nominal associations with acetoin (p = .030) and citrulline (p = .047). Among other investigated variables, the use of systemic antibiotics in the previous 3 months was associated with higher values of the amino acids taurine, glycine and ornithine (p = .002, p = .05 and p = .005, respectively, at linear regression adjusted for age, gender, ethnicity, body mass index and staging).CONCLUSION: While periodontal staging was marginally associated with some salivary metabolites, other factors such as systemic antibiotic use may have a much more profound effect on the microbial metabolites in saliva. Metabolomics in periodontal disease is still an underresearched area that requires further observational studies on large cohorts of patients, aiming to obtain data to be used for clinical translation.PMID:37787434 | DOI:10.1111/jre.13183

Int J Syst Evol Microbiol. 2023 Oct;73(10). doi: 10.1099/ijsem.0.006017.ABSTRACTFour obligately anaerobic Gram-positive bacteria representing one novel genus and two novel species were isolated from the female genital tract. Both novel species, designated UPII 610-JT and KA00274T, and an additional isolate of each species were characterized utilizing biochemical, genotypic and phylogenetic analyses. All strains were non-motile and non-spore forming, asaccharolytic, non-cellulolytic and indole-negative coccobacilli. Fatty acid methyl ester analysis for UPII 610-JT and KA00274T and additional isolates revealed C16 : 0, C18 : 0, C18:1ω9c and C18:2ω6,9c to be the major fatty acids for both species. UPII 610-JT had a 16S rRNA gene sequence similarity of 99.4 % to an uncultured clone sequence (AY724740) designated as Bacterial Vaginosis Associated Bacterium 2 (BVAB2). KA00274T had a 16S rRNA gene sequence similarity of 96.5 % to UPII 610-JT. Whole genomic DNA mol% G+C content was 42.2 and 39.3 % for UPII 610-JT and KA00274T, respectively. Phylogenetic analyses indicate these isolates represent a novel genus and two novel species within the Oscillospiraceae family. We propose the names Amygdalobacter indicium gen. nov., sp. nov., for UPII 610-JT representing the type strain of this species (=DSM 112989T, =ATCC TSD-274T) and Amygdalobacter nucleatus gen. nov., sp. nov., for KA00274T representing the type strain of this species (=DSM 112988T, =ATCC TSD-275T).PMID:37787404 | DOI:10.1099/ijsem.0.006017

Am J Physiol Lung Cell Mol Physiol. 2023 Oct 3. doi: 10.1152/ajplung.00177.2023. Online ahead of print.ABSTRACTBACKGROUND: Understanding metabolic evolution underlying pulmonary arterial hypertension (PAH) development may clarify pathobiology and reveal disease-specific biomarkers. Systemic sclerosis (SSc) patients are regularly surveilled for PAH, presenting an opportunity to examine metabolic change as disease develops in an at-risk cohort.METHODS: We performed mass spectrometry-based metabolomics on longitudinal serum samples collected prior to and near SSc-PAH diagnosis, compared to time-matched SSc subjects without PAH, in a SSc surveillance cohort. We validated metabolic differences in a second cohort and determined metabolite-phenotype relationships. In parallel, we performed serial metabolomic and hemodynamic assessments as disease developed in a preclinical model. For differentially expressed metabolites, we investigated corresponding gene expression in human and rodent PAH lungs.RESULTS: Kynurenine and its ratio to tryptophan (kyn/trp) increased over the surveillance period in SSc patients who developed PAH. Higher kyn/trp measured two years prior to diagnostic right heart catheterization increased the odds of SSc-PAH diagnosis (OR 1.57, 95% CI 1.05-2.36, p = 0.028). The slope of kyn/trp rise during SSc surveillance predicted PAH development and mortality. In both clinical and experimental PAH, higher kynurenine pathway metabolites correlated with adverse pulmonary vascular and RV measurements. In human and rodent PAH lungs, expression of TDO2, which catalyzes tryptophan conversion to kynurenine, was significantly upregulated and tightly correlated with pulmonary hypertensive features.CONCLUSIONS: Upregulated kynurenine pathway metabolism occurs early in PAH, localizes to the lung, and may be modulated by TDO2. Kynurenine pathway metabolites may be candidate PAH biomarkers.PMID:37786941 | DOI:10.1152/ajplung.00177.2023

bioRxiv. 2023 Sep 18:2023.09.18.558236. doi: 10.1101/2023.09.18.558236. Preprint.ABSTRACTKnockout (KO) of the fatty acid-activation enzyme very long-chain acyl-CoA synthetase 3 (ACSVL3; SLC27A3) in U87MG glioblastoma cells reduced their malignant growth properties both in vitro and in xenografts. These U87-KO glioma cells grew at a slower rate, became adherence-dependent, and were less invasive than parental U87 cells. U87-KO cells produced fewer, slower-growing subcutaneous and intracranial tumors when implanted in NOD-SCID mice. Thus, depleting U87MG cells of ACSVL3 restored these cells to a phenotype more like that of normal astrocytes. To understand the mechanisms underlying these beneficial changes, we investigated several possibilities, including the effects of ACSVL3 depletion on carbohydrate metabolism. Proteomic and metabolomic profiling indicated that ACSVL3 KO produced changes in glucose and energy metabolism. Even though protein levels of glucose transporters GLUT1 and GLUT3 were reduced by KO, cellular uptake of labeled 2-deoxyglucose was unaffected. Glucose oxidation to CO 2 was reduced nearly 7-fold by ACSVL3 depletion, and the cellular glucose level was 25% higher in KO cells. Glycolytic enzymes were upregulated by KO, but metabolic intermediates were essentially unchanged. Surprisingly, lactate production and the levels of lactate dehydrogenase isozymes LDHA and LDHB were elevated by ACSVL3 KO. The activity of the pentose phosphate pathway was found to be lower in KO cells. Citric acid cycle enzymes, electron transport chain complexes, and ATP synthase protein levels were all reduced by ACSVL3 depletion. Mitochondria were elongated in KO cells, but had a more punctate morphology in U87 cells. The mitochondrial potential was unaffected by lack of ACSVL3. We conclude that the beneficial effects of ACSVL3 depletion in human glioblastoma cells may result in part from alterations in diverse metabolic processes that are not directly related to role(s) of this enzyme in fatty acid and/or lipid metabolism. (Supported by NIH 5R01NS062043 and KKI institutional funds.).PMID:37786718 | PMC:PMC10541593 | DOI:10.1101/2023.09.18.558236

bioRxiv. 2023 Sep 18:2023.09.18.558167. doi: 10.1101/2023.09.18.558167. Preprint.ABSTRACTStickland-fermenting Clostridia preferentially ferment amino acids to generate energy and anabolic substrates for growth. In gut ecosystems, these species prefer dual redox substrates, particularly mucin-abundant leucine. Here, we establish how theronine, a more prevalent, mucin-abundant substrate, supports dual redox metabolism in the pathogen Clostridioides difficile . Real-time, High-Resolution Magic Angle Spinning NMR spectroscopy, with dynamic flux balance analyses, inferred dynamic recruitment of four distinct threonine fermentation pathways, including ones with intermediate accrual that supported changing cellular needs for energy, redox metabolism, nitrogen cycling, and growth. Model predictions with 13 C isotopomer analyses of [U- 13 C]threonine metabolites inferred threonine's reduction to butyrate through the reductive leucine pathway, a finding confirmed by deletion of the hadA 2-hydroxyisocaproate CoA transferase. In vivo metabolomic and metatranscriptomic analyses illustrate how threonine metabolism in C. difficile and the protective commensal Paraclostridium bifermentans impacts pathogen colonization and growth, expanding the range of dual-redox substrates that modulate host risks for disease.PMID:37786668 | PMC:PMC10541586 | DOI:10.1101/2023.09.18.558167

Compr Rev Food Sci Food Saf. 2023 Oct 2. doi: 10.1111/1541-4337.13246. Online ahead of print.ABSTRACTWith the development of metabolomics analytical techniques, relevant studies have increased in recent decades. The procedures of metabolomics analysis mainly include sample preparation, data acquisition and pre-processing, multivariate statistical analysis, as well as maker compounds' identification. In the present review, we summarized the published articles of tea metabolomics regarding different analytical tools, such as mass spectrometry, nuclear magnetic resonance, ultraviolet-visible spectrometry, and Fourier transform infrared spectrometry. The metabolite variation of fresh tea leaves with different treatments, such as biotic/abiotic stress, horticultural measures, and nutritional supplies was reviewed. Furthermore, the changes of chemical composition of processed tea samples under different processing technologies were also profiled. Since the identification of critical or marker metabolites is a complicated task, we also discussed the procedure of metabolite identification to clarify the importance of omics data analysis. The present review provides a workflow diagram for tea metabolomics research and also the perspectives of related studies in the future.PMID:37786329 | DOI:10.1111/1541-4337.13246

Arthritis Rheumatol. 2023 Oct 2. doi: 10.1002/art.42722. Online ahead of print.ABSTRACTOBJECTIVES: Patients with juvenile-onset systemic lupus erythematosus (JSLE) have increased atherosclerosis risk. This study investigated novel atherosclerosis progression biomarkers in the APPLE trial, the largest investigator-led randomised control trial of atorvastatin versus placebo for atherosclerosis progression in JSLE, using carotid intima-media thickness (CIMT) as primary outcome.METHODS: Unsupervised clustering of baseline CIMT and CIMT-progression over 36 months was used to stratify JSLE patients. Disease characteristics, cardio-vascular risk scores and baseline serum metabolome were investigated in CIMT-stratified patients. Machine learning techniques were used to identify/validate a serum metabolomic signature of CIMT progression.RESULTS: Baseline CIMT stratified JSLE patients (N=151) into three groups with distinct high, intermediate, and low CIMT trajectories irrespective of treatment allocation, despite most patients having low cardiovascular disease-risk based on recommended assessment criteria. In the placebo group (N=60), patients with high vs, low CIMT-progression had higher total (P=0.001) and low-density lipoprotein (LDL) (P=0.002) cholesterol levels, although within the normal range. Furthermore, a robust baseline metabolomic signature predictive of high CIMT-progression was identified in the placebo arm (area under the curve-AUC 80.7%). Patients treated with atorvastatin (N=61) had reduced LDL cholesterol levels after 36 months as expected, however, despite this, 36% still had high atherosclerosis progression, which was not predicted by metabolomic biomarkers, suggesting non-lipid drivers of atherosclerosis in JSLE with management implications for this subset of patients.CONCLUSION: Significant baseline heterogeneity and distinct subclinical atherosclerosis progression trajectories exist in JSLE. Metabolomic signatures can predict atherosclerosis progression in some JSLE patients with relevance for clinical trial stratification.PMID:37786302 | DOI:10.1002/art.42722

Int J Radiat Oncol Biol Phys. 2023 Oct 1;117(2S):e207. doi: 10.1016/j.ijrobp.2023.06.1091.ABSTRACTPURPOSE/OBJECTIVE(S): Approximately 95% of breast cancer (BC) patients receiving radiotherapy (RT) develop varying degrees of radiation dermatitis (RD), which can greatly affect the patient's quality of life and aesthetics. Severe acute RD can lead to interruption or delay of RT. Currently, there is no consensus on the prevention and management of RD. The skin microbiota (SM), which are mainly composed of bacteria and fungi, are essential for skin homeostasis and microbial dysbiosis is correlated with the onset and progression of many common skin diseases. However, to date, research on the role of the SM in RD remains scarce. This prospective, longitudinal study aims to analyze the association of SM with RD.MATERIALS/METHODS: We collected 200 SM samples both before and after RT from the region in the irradiated chest wall of 100 BC patients receiving RT after reconstructive surgery and samples from the corresponding region in the contralateral breast for bacterial 16S and fungal ITS (internal transcribed spacer) rRNA sequencing. Acute RD was graded according to the Toxicity Criteria of the Radiation Therapy Oncology Group (RTOG). Patients were divided into no or mild dermatitis (N/MD, RTOG grade 0 or 1) and severe dermatitis (SD, RTOG grade 2 and above). The compositional differences across groups were compared using STAMP and high-dimensional class comparisons by linear discriminant analysis of effect size (LEfSe). Differences in metabolic function between groups were predicted by the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) method.RESULTS: Significant differences were observed in the diversity and composition of the SM between N/MD and SD both before and after RT. Analysis of bacterial 16S sequencing (n = 89, 63 N/MD, 26 SD) showed significantly higher relative abundance of particular taxa such as Ralstonia, Truepera, Methyloversatilis genera and lower abundance of particular taxa including Staphylococcus, Corynebacterium genera in N/MD patients. Besides, analysis of fungal ITS sequencing (n = 71, 53 N/MD, 18 SD) showed significantly higher relative abundance of particular taxa such as Hypocreaceae family and lower abundance of particular taxa such as Sporidiobolus genus in N/MD patients. Pathways including fatty acid synthesis were predicted to be enriched in N/MD patients.CONCLUSION: The SM and pathway markers were identified in this study to be associated with the severity of acute RD in BC patients undergoing RT after reconstructive surgery. More patient data is needed to verify the current findings and the results of metagenomic, metatranscriptomic, and metabolomic analyses will further mine key biomarkers at the compositional and functional level.PMID:37784866 | DOI:10.1016/j.ijrobp.2023.06.1091

Int J Radiat Oncol Biol Phys. 2023 Oct 1;117(2S):e113-e114. doi: 10.1016/j.ijrobp.2023.06.895.ABSTRACTPURPOSE/OBJECTIVE(S): Enhanced lipid metabolism has emerged as a central metabolic node in glioblastoma, serving as a 'gain of function' that allows these cells to efficiently adapt to their dynamic tumor microenvironment. Seemingly contradictory to this, pre-clinical studies have demonstrated anti-tumor activity in mice fed a high-fat/low-carbohydrate ketogenic diet (KD), both alone and in combination with radiation therapy (RT). In this study, we sought to identify mechanisms underlying the antitumor activity of a KD in glioblastoma from a metabolic perspective to better understand factors contributing to this apparent disconnect.MATERIALS/METHODS: Immunocompromised and immunocompetent mice were injected orthotopically with human and mouse-derived glioblastoma cell lines and randomized to four treatment arms. Mice were fed ad libitum a standard diet (SD), KD (Bio-Serve), or a modified unsaturated fatty acid (uFA) rich diet (MD; 60/30/10: fat/protein/carb) alone or in combination with hypofractionated RT (6 Gy x 3). Global metabolomic profiling of tumors and serum were carried out using LC/GC-MS. Lipid droplets were analyzed by flow cytometer and confocal microscopy using BODIPY staining and free fatty acids were measured using a commercially available kit.RESULTS: A KD demonstrated independent anti-tumor activity and potent synergy with RT in two aggressive glioblastoma models. Metabolomic profiling of tumors revealed significant changes in tumor metabolism in KD-fed mice when compared to SD, with an accumulation of uFAs being a key finding. We therefore sought to determine if this accumulation of fatty acids in KD mice contributed towards the observed anti-tumor activity. Consistent with in vivo results, in vitro studies using the uFA linoleic acid demonstrated anti-proliferative activity, reduced clonogenic capacity, and potent synergy when combined with RT in glioblastoma cells. Through a series of investigations, we went on to determine that this anti-tumor activity was attributed to the ability of uFA to override lipid storage homeostasis in glioblastoma cells, resulting in lipotoxicity. Based on these findings, we hypothesized high fat concentrations, rather than carbohydrate restriction, contributed to the anti-tumor activity of a KD. To test this, we generated a MD rich in uFA that did not require carbohydrate restriction. Similar to a KD, mice fed a MD demonstrated both independent anti-tumor activity and potent synergy when combined with RT.CONCLUSION: High concentrations of uFA represents a key factor underlying the anti-tumor activity of a KD in glioblastoma by targeting lipid homeostasis. A MD consisting of high concentrations of uFA without carbohydrate restriction demonstrates promising anti-tumor activity in glioblastoma models. As a major limitation of a KD is tolerability, particularly in glioblastoma patients, a MD represents a promising form of dietary modification that may be translated clinically.PMID:37784654 | DOI:10.1016/j.ijrobp.2023.06.895

Int J Radiat Oncol Biol Phys. 2023 Oct 1;117(2S):e101. doi: 10.1016/j.ijrobp.2023.06.870.ABSTRACTPURPOSE/OBJECTIVE(S): High grade gliomas (HGGs) are aggressive brain tumors with altered cellular metabolism. HGGs can carry mutations in the tricarboxylic acid (TCA) cycle enzyme isocitrate dehydrogenase 1 (IDH1), conferring distinct biology and improved patient prognosis compared to IDH wildtype (wt) tumors. Using metabolomic analyses of tumor tissue, we previously showed that IDH wt and IDH mutant (IDH mut) tumors have unique metabolomic signatures that correlate with different survival outcomes. Among this cohort of 69 HGG samples, we identified two unique patient tumors that metabolically clustered with IDH mut tumors, but lacked both the IDH mutation and its product 2-hydroxyglutarate. We aimed to discover unique mutations in these two tumors that may impart an IDH mutant-like phenotype in the absence of an IDH1 or IDH2 mutation.MATERIALS/METHODS: Whole exome sequencing (WES) was performed on frozen tumor samples from two patients diagnosed as glioblastoma (GBM), IDH wt via Agilent v5 + IncRNA platform. Alignment to the hg38 genome and variant calling were completed using an accelerated implementation of GATK's BWA and MuTect2 algorithms from Sentieon. Variants were filtered based on supporting reads and variant allele thresholds, with synonymous variants and common SNPs removed. High-confidence variants were further filtered by membership in the four KEGG pathways associated with IDH1 and IDH2. Identified variants were corroborated with metabolomics data from the two unique IDH wt tumors compared with classical GBM IDH wt, oligodendrogliomas IDH mut and astrocytomas IDH mut to identify putative drivers of an IDH mutant-like metabolomic phenotype in these unique IDH wt tumors.RESULTS: Despite the lack of an IDH mutation, one patient survived 45.6 months and the other patient remains alive at last follow up 64 months post diagnosis, much longer than the 16-18-month median survival typical of patients with GBM IDH wt. WES of outlier IDH wt tumor samples revealed 65 unique mutations in the queried KEGG pathways, of which 34 had a variant allele frequency > = 0.15. These variants were processed in Gprofiler, confirming expected enrichment of the carboxylic acid metabolic biologic process, a functional gene set consisting of TCA genes, among these variants (p = 0.002, 3.6-fold enrichment). Accordingly, metabolite levels of intermediates of the TCA cycle, including malate and isocitrate were decreased in the outlier tumor samples compared to classic GBMs IDH wt (p<0.001). Presence of genetic alterations in key variants of the carboxylic acid metabolic biologic process (including ME1, GYP4F3, PTGIS, PFKL, PSPH, AKR1A1, HK2, NOS1) correlated with improved overall survival among GBM patients in the TCGA (p = 0.04). Laboratory validation of these findings in preclinical GBM models is ongoing.CONCLUSION: Disruption of the TCA cycle independent of an IDH mutation is associated with favorable survival in GBM. Pharmacologic inhibition of these pathways may be a promising strategy to improve GBM outcomes.PMID:37784627 | DOI:10.1016/j.ijrobp.2023.06.870

Int J Radiat Oncol Biol Phys. 2023 Oct 1;117(2S):S11. doi: 10.1016/j.ijrobp.2023.06.224.ABSTRACTPURPOSE/OBJECTIVE(S): As a rapidly self-renewing tissue, the small intestine is particularly sensitive to ionizing radiation, which limits the outcomes of radiotherapy against abdominal malignancies, resulting in poor prognosis. The polyphenol (-)-epigallocatechin-3-gallate (EGCG), a major bioactive constituent of green tea, is beneficial in radiation-induced intestinal injury (RIII) alleviation. However, the bioavailability of EGCG in vivo is very low, with only 0.1% to 1.6% being absorbed into the intestine of mice. It is unclear whether gut microbial metabolites mediated by EGCG exert an effect to protect against radiation-induced intestinal injury.MATERIALS/METHODS: Male C57BL/6J mice were subjected to 13 Gy abdominal irradiation after EGCG gavage, and the severity of intestinal tissue damage was evaluated by HE staining, immunohistochemistry, and TUNEL assays. Fresh fecal samples were collected after the end of gavage, and then fecal sterile fecal filtrate (SFF) was obtained. Stool samples were collected 3 d after irradiation. The gut microbiome was detected by 16S rRNA sequencing, the metabolites were detected by GC‒MS analysis, and then the metabolites were applied to male C57BL/6J mice, observing and evaluating the severity of RIII.RESULTS: We first explored the effect of oral EGCG delivery on radiation-induced intestinal injury. Our results revealed that EGCG pre-supplementation prolongs survival time, prevents weight loss in mice and mitigates radiation-induced intestinal injury in irradiated mice. Using 16S rRNA gene-based microbiota analysis, we first found that EGCG ameliorated ionizing radiation-induced gut microbiota dysbiosis and enriched short-chain fatty acid (SCFA)-producing bacteria such as Roseburia, Ruminococcus, and Clostridia_UCG-014. In addition, metabolomic profiling analysis showed that the gut microbiota modulated EGCG-induced metabolic reprogramming in colonic tissues, particularly by enhancing galactose metabolism. Notably, EGCG supplementation resulted in the enrichment of the microbiota-derived galactose metabolism metabolite D-tagatose. Furthermore, exogenous treatment with D-tagatose reproduced similar protective effects as EGCG to protect against radiation-induced intestinal injury (RIII). D-tagatose restored the length of villi and improved the number of goblet cells, Ki-67-positive cells and Lgr5+ ISCs, while the number of TUNEL-positive cells in the intestinal tissues decreased significantly. To validate these discoveries, we performed fecal sterile fecal filtrate (SFF) from EGCG-dosed mice to untreated mice before ionizing radiation. SFF from EGCG-dosed mice alleviated the RIII over SFF from control mice superiorly.CONCLUSION: This study provides the first data indicating that oral EGCG ameliorated radiation-induced intestinal injury (RIII) by regulating the gut microbiota and metabolites. Our findings provide novel insights into D-tagatose derived by gut microbiota from EGCG-mediated remission of RIII.PMID:37784289 | DOI:10.1016/j.ijrobp.2023.06.224

Int J Radiat Oncol Biol Phys. 2023 Oct 1;117(2S):S103. doi: 10.1016/j.ijrobp.2023.06.059.ABSTRACTPURPOSE/OBJECTIVE(S): The tumor microenvironment (TME) in HPV-unrelated head and neck cancer (HNC) is considered to be immunologically "cold," and immunometabolic adaptations to radiotherapy (RT) can exacerbate these conditions and lead to radioresistance. Peroxisome proliferator-activated receptor-α (PPARα) agonism may improve the immune response to RT by reducing glucose scarcity through upregulation of fatty acid utilization in cancer cells. Our clinical trial data shows that high serum oleic acid (OA), a PPAR ligand, correlates with response to radioimmunotherapy.MATERIALS/METHODS: Orthotopic buccal tumor implantations of MOC2 and LY2 HNC cell lines were performed in C57BL/6 and BALB/c mice, respectively. Mice were placed on a high OA diet (38% kcal from OA) 3 weeks prior to tumor implantation. Control diet consisted of 1% kcal from OA. In vitro RT was performed to characterize the metabolic effects on the cancer cell lines. For in vivo studies, tumors were irradiated upon reaching 100 mm^3 with three 8 Gy fractions, given every 4-5 days. The PPARα agonist fenofibrate (FF, 100mg/kg/day) was given via oral gavage or intraperitoneal injection starting 5 days after RT. Tumor volume and overall survival were measured as objective outcomes, and flow cytometry was used to characterize the immune landscape of the tumor, blood, and lymph nodes. Mass spectrometry was employed for bulk proteomics and metabolomics on serum samples, and stable isotope labeling was performed on CD8 T cells from treated mice ex vivo. Extracellular flux analyses were performed on tumor cells and CD8 T cells to determine metabolic phenotypic changes.RESULTS: In vitro cytotoxicity was met for MOC2 and LY2 cancer cells in 100 uM FF and OA in comparison to solvent (p<0.01). Extracellular flux analyses show that RT upregulates the glycolytic phenotype of MOC2 and LY2 cancer cells; and that FF and/or OA decrease the glycolytic capacity of the cancer cells. Ex vivo extracellular flux analyses showed increased glycolytic capacity of CD8 T cells in mice treated with FF in comparison to RT alone. RT in combination with FF significantly improved tumor volume response in comparison to RT alone (mean 99.4 vs 182.7 mm^3, p = 0.001) and was comparable to combination radioimmunotherapy (with anti-PDL1 therapy; mean 99.4 vs. 132.3 mm^3). Unexpectedly, OA negated this improvement in efficacy in both MOC2 and LY2 tumor models; mice on the high OA diet had significantly higher average body weight (p<0.01). Significant changes in adaptive immune response were observed within the TME with the addition of FF. This was mirrored by changes in serum metabolomics.CONCLUSION: PPARα agonism improved the efficacy of RT in murine HNC models and could be considered in future translational clinical trial design.PMID:37784273 | DOI:10.1016/j.ijrobp.2023.06.059