Aqueous Metabolites Research Articles

Explainable AI to Facilitate Understanding of Neural Network-Based Metabolite Profiling Using NMR Spectroscopy.

Neural networks (NNs) are emerging as a rapid and scalable method for quantifying metabolites directly from nuclear magnetic resonance (NMR) spectra, but the nonlinear nature of NNs precludes understanding of how a model makes predictions. This study implements an explainable artificial intelligence algorithm called integrated gradients (IG) to elucidate which regions of input spectra are the most important for the quantification of specific analytes. The approach is first validated in simulated mixture spectra of eight aqueous metabolites and then investigated in experimentally acquired lipid spectra of a reference standard mixture and a murine hepatic extract. The IG method revealed that, like a human spectroscopist, NNs recognize and quantify analytes based on an analyte's respective resonance line-shapes, amplitudes, and frequencies. NNs can compensate for peak overlap and prioritize specific resonances most important for concentration determination. Further, we show how modifying a NN training dataset can affect how a model makes decisions, and we provide examples of how this approach can be used to de-bug issues with model performance. Overall, results show that the IG technique facilitates a visual and quantitative understanding of how model inputs relate to model outputs, potentially making NNs a more attractive option for targeted and automated NMR-based metabolomics.

Levels of asymmetric dimethylarginine in plasma and aqueous humor: a key risk factor for the severity of fibrovascular proliferation in proliferative diabetic retinopathy.

Proliferative diabetic retinopathy (PDR) is a common diabetes complication, significantly impacting vision and quality of life. Previous studies have suggested a potential link between arginine pathway metabolites and diabetic retinopathy (DR). Connective tissue growth factor (CTGF) plays a role in the occurrence and development of fibrovascular proliferation (FVP) in PDR patients. However, the relationship between arginine pathway metabolites and FVP in PDR remains undefined. This study aimed to explore the correlation between four arginine pathway metabolites (arginine, asymmetric dimethylarginine[ADMA], ornithine, and citrulline) and the severity of FVP in PDR patients. In this study, plasma and aqueous humor samples were respectively collected from 30 patients with age-related cataracts without diabetes mellitus (DM) and from 85 PDR patients. The PDR patients were categorized as mild-to-moderate or severe based on the severity of fundal FVP. The study used Kruskal-Wallis test to compare arginine, ADMA, ornithine, and citrulline levels across three groups. Binary logistic regression identified risk factors for severe PDR. Spearman correlation analysis assessed associations between plasma and aqueous humor metabolite levels, and between ADMA and CTGF levels in aqueous humor among PDR patients. ADMA levels in the aqueous humor were significantly greater in patients with severe PDR than in those with mild-to-moderate PDR(P=0.0004). However, the plasma and aqueous humor levels of arginine, ornithine, and citrulline did not significantly differ between mild-to-moderate PDR patients and severe PDR patients (P>0.05). Binary logistic regression analysis indicated that the plasma (P=0.01) and aqueous humor (P=0.006) ADMA levels in PDR patients were risk factors for severe PDR. Furthermore, significant correlations were found between plasma and aqueous humor ADMA levels (r=0.263, P=0.015) and between aqueous humor ADMA and CTGF levels (r=0.837, P<0.001). Elevated ADMA levels in plasma and aqueous humor positively correlate with the severity of FVP in PDR, indicating ADMA as a risk factor for severe PDR.

Identification of potential serum biomarkers associated with HbA1c levels in Indian type 2 diabetic subjects using NMR-based metabolomics

BackgroundThe prevalence of type 2 diabetes mellitus (T2DM), a progressive metabolic disorder characterized by chronic hyperglycemia and the development of insulin resistance, has increased globally, with worrying statistics coming from children, adolescents, and young adults from developing countries like India. Here, we investigated unique circulating metabolic signatures associated with prediabetes and T2DM in an Indian cohort using NMR-based metabolomics. Materials and methodsThe study subjects included healthy volunteers (N = 101), prediabetic subjects (N = 75), and T2DM patients (N = 108). Serum metabolic profiling was performed using 1H NMR spectroscopy and major perturbed metabolites were identified by multivariate analysis and receiver operating characteristic (ROC) modules. ResultsOf the 36 aqueous abundant metabolites, 24 showed a statistically significant difference between healthy volunteers, prediabetics, and established T2DM subjects. On performing multivariate ROC curve analysis with 5 commonly dysregulated metabolites (namely, glucose, pyroglutamate, o-phosphocholine, serine, and methionine) in prediabetes and T2DM, AUC values obtained were 0.96 (95 % confidence interval (CI) = 0.93, 0.98) for T2DM; and 0.88 (95 % CI = 0.81, 0.93) for prediabetic subjects, respectively. ConclusionWe propose that the identified metabolite panel can be used in the future as a biomarker for clinical diagnosis, patient surveillance, and for predicting individuals at risk for developing diabetes.

Rat Model of Type 2 Diabetes Mellitus Recapitulates Human Disease in the Anterior Segment of the Eye

Changes in the anterior segment of the eye due to type 2 diabetes mellitus (T2DM) are not well-characterized, in part due to the lack of a reliable animal model. This study evaluated changes in the anterior segment, including crystalline lens health, corneal endothelial cell density, aqueous humor metabolites, and ciliary body vasculature, in a rat model of T2DM compared with human eyes. Male Sprague-Dawley rats were fed a high-fat diet (45% fat) or normal diet, and rats fed the high-fat diet were injected with streptozotocin intraperitoneally to generate a model of T2DM. Cataract formation and corneal endothelial cell density were assessed using microscopic analysis. Diabetes-related rat aqueous humor alterations were assessed using metabolomics screening. Transmission electron microscopy was used to assess qualitative ultrastructural changes ciliary process microvessels at the site of aqueous formation in the eyes of diabetic rats and humans. Eyes from the diabetic rats demonstrated cataracts, lower corneal endothelial cell densities, altered aqueous metabolites, and ciliary body ultrastructural changes, including vascular endothelial cell activation, pericyte degeneration, perivascular edema, and basement membrane reduplication. These findings recapitulated diabetic changes in human eyes. These results support the use of this model for studying ocular manifestations of T2DM and support a hypothesis postulating blood-aqueous barrier breakdown and vascular leakage at the ciliary body as a mechanism for diabetic anterior segment pathology.

Primary Human M2 Macrophage Subtypes Are Distinguishable by Aqueous Metabolite Profiles.

The complexity of macrophage (MΦ) plasticity and polarization states, which include classically activated pro-inflammatory (M1) and alternatively activated anti-inflammatory (M2) MΦ phenotypes, is becoming increasingly appreciated. Within the M2 MΦ polarization state, M2a, M2b, M2c, and M2d MΦ subcategories have been defined based on their expression of specific cell surface receptors, secreted cytokines, and specialized immune effector functions. The importance of immunometabolic networks in mediating the function and regulation of MΦ immune responses is also being increasingly recognized, although the exact mechanisms and extent of metabolic modulation of MΦ subtype phenotypes and functions remain incompletely understood. In this study, proton (1H) nuclear magnetic resonance (NMR) metabolomics was employed to determine the polar metabolomes of M2 MΦ subtypes and to investigate the relationship between aqueous metabolite profiles and M2 MΦ functional phenotypes. Results from this study demonstrate that M2a MΦs are most distinct from M2b, M2c, and M2d MΦ subtypes, and that M2b MΦs display several metabolic traits associated with an M1-like MΦ phenotype. The significance of metabolome differences for metabolites implicated in glycolysis, the tricarboxylic acid (TCA) cycle, phospholipid metabolism, and creatine-phosphocreatine cycling is discussed. Altogether, this study provides biochemical insights into the role of metabolism in mediating the specialized effector functions of distinct M2 MΦ subtypes and supports the concept of a continuum of macrophage activation states rather than two well-separated and functionally distinct M1/M2 MΦ classes, as originally proposed within a classical M1/M2 MΦ framework.

Integrated metabolomics revealed the photothermal therapy of melanoma by Mo2C nanosheets: toward rehabilitated homeostasis in metabolome combined lipidome.

Melanoma, the most aggressive and life-threatening form of skin cancer, lacks innovative therapeutic approaches and deeper bioinformation. In this study, we developed a photothermal therapy (PTT) based on Mo2C nanosheets to eliminate melanoma while utilizing integrated metabolomics to investigate the metabolic shift of metabolome combined lipidome during PTT at the molecular level. Our results demonstrated that 1 mg ml-1 Mo2C nanosheets could efficiently convert laser energy into heat with a strong and stable photothermal effect (74 ± 0.9 °C within 7 cycles). Furthermore, Mo2C-based PTT led to a rapid decrease in melanoma volume (from 3.299 to 0 cm2) on the sixth day, indicating the effective elimination of melanoma. Subsequent integrated metabolomics analysis revealed significant changes in aqueous metabolites (including organic acids, amino acids, fatty acids, and amines) and lipid classes (including phospholipids, lysophospholipids, and sphingolipids), suggesting that melanoma caused substantial fluctuations in both metabolome and lipidome, while Mo2C-based PTT helped improve amino acid metabolism-related biological events (such as tryptophan metabolism) impaired by melanoma. These findings suggest that Mo2C nanosheets hold significant potential as an effective therapeutic agent for skin tumors, such as melanoma. Moreover, through exploring multidimensional bioinformation, integrated metabolomics technology provides novel insights for studying the metabolic effects of tumors, monitoring the correction of metabolic abnormalities by Mo2C nanosheet therapy, and evaluating the therapeutic effect on tumors.

Genetic mutation and aqueous humor metabolites alterations in a family with Marfan syndrome

This study used four generations of a Chinese family to reveal the genetic etiology and ocular manifestation pathogenesis of Marfan syndrome (MFS) through whole genome sequencing (WGS) and metabolomics analysis. In the study, we explored the pathogenic gene variant and aqueous humor (AH) metabolites alterations of MFS. Using WGS, a novel heterozygous variant (NM_000138: c.G4192A, p.D1398 N) in the fibrilin-1 (FBN1) gene was identified. This variant was co-segregated with the phenotype and considered “deleterious” and highly conserved during evolution. The p.D1398 N variant is located in a cbEGF-like domain and predicted to lead to a new splice site, which might result in structural and functional changes to the FBN1 protein. FBN1 is highly expressed in the mouse cornea, conjunctiva and lens capsule, which highlights the important role of FBN1 in eyeball development. AH metabolomics analysis identified eight differentially expressed metabolites, including 3-hydroxyphenylacetic acid, 4-pyridoxic acid, aminoadipic acid, azelaic acid, chlordiazepoxide, niacinamide, ribose, 1,5-bisphosphate and se-methylselenocysteine, associated with relevant metabolic pathways likely involved in the pathogenesis of ocular symptoms in MFS. Our analysis extends the existing spectrum of disease-causing mutations and reveals metabolites information related to the ophthalmic features of MFS. This may provide a new sight and a basis for the diagnosis and mechanism of MFS.

Low circulating choline levels correlate with Alzheimer’s disease pathology severity and cognitive impairment

AbstractBackgroundModifiable environmental risk factors may help reduce Alzheimer’s disease (AD) incidence. Choline plays key roles in healthy body and brain function (Blusztajn, 1998) and supplementation above the adequate daily intake (ADI) reduces AD pathology (Velazquez et al., 2019). Choline deficiency increases AD risk and pathology (Dave et al., 2023; Yuan et al., 2022). Notably, recent reports estimate that ∼90% of Americans do not reach the ADI for dietary choline (Zeisel, 2017), making it imperative to better understand the link between choline and AD risk.MethodWe obtained serum samples from severe AD (AD‐Sev; Braak stage VI), moderate AD (AD‐Mod; Braak stage IV), and healthy control (CON; &lt; Braak stage III) subjects (n = 12/group; balanced for sex) from the Banner Sun Health Research Institute’s Brain and Body Donation Program. Cognitive test scores (Mini‐Mental State Examination (MMSE)), plaque burden, and Braak stage was characterized by Banner Sun Health. We assessed free choline, acetylcholine (ACh), and TNFα levels. Gas‐chromatography‐mass spectrometry was used to profile aqueous metabolites and short‐chain fatty acids.ResultThere were no significant group differences for post‐mortem interval (M = 3.79). We found disease associated differences, where AD‐Sev and AD‐Mod patients had lower levels of free choline and ACh, and higher levels of pro‐inflammatory cytokine TNFα, than CON. AD‐Mod showed a significant difference in all these measurements compared to AD‐Sev. Free choline and ACh were positively correlated to MMSE scores, whereas free choline and ACh levels were negatively correlated with total plaque and Braak Stage. Free choline and ACh were negatively correlated with TNFα. Metabolomics analysis revealed significant differences (p &lt; 0.05) in the metabolisms of beta‐alanine, linoleic acid, and of taurine and hypotaurine.ConclusionCollectively, as free choline and ACh levels decreased, AD pathology increased. Free choline was also associated with MMSE score. Increased TNFα was observed in cases with lower choline, illustrating increased inflammation. Together, this data expands on our recent (Dave et al., 2023) and others (Yuan et al., 2022) publications, highlighting links between low choline and AD risk.

Reduced glutathione level in the aqueous humor of patients with primary open-angle glaucoma and normal-tension glaucoma

Glaucoma is a leading cause of blindness worldwide in older people. Profiling the aqueous humor, including the metabolites it contains, is useful to understand physiological and pathological conditions in the eye. In the current study, we used mass spectrometry (MS) to characterize the aqueous humor metabolomic profile and biological features of patients with glaucoma. Aqueous humor samples were collected during trabeculectomy surgery or cataract surgery and analyzed with global metabolomics. We included 40 patients with glaucoma (32 with POAG, 8 with NTG) and 37 control subjects in a discovery study. VIP analysis revealed five metabolites that were elevated and three metabolites that were reduced in the glaucoma patients. The identified metabolomic profile had an area under the receiver operating characteristic curve of 0.953. Among eight selected metabolites, the glutathione level was significantly decreased in association with visual field defects. Moreover, in a validation study to confirm the reproducibility of our findings, the glutathione level was reduced in NTG and POAG patients compared with a cataract control group. Our findings demonstrate that aqueous humor profiling can help to diagnose glaucoma and that various aqueous humor metabolites are correlated with clinical parameters in glaucoma patients. In addition, glutathione is clearly reduced in the aqueous humor of glaucoma patients with both IOP-dependent and IOP-independent disease subtypes. These findings indicate that antioxidant agents in the aqueous humor reflect glaucomatous optic nerve damage and that excessive oxidative stress may be involved in the pathogenesis of glaucoma.

Abstract P3197: Sarm1 Deficiency Protects Mice Against Diabetic Cardiomyopathy: Potential Mechanisms Via Ameliorating Lipotoxicity

Heart failure occurs at nearly twice the rate in diabetic patients as compared to normal patients. NAD levels are decreased in human and murine heart disease models including diabetic hearts. Strategies to raise NAD in these models have primarily focused on increasing NAD synthesis. Alternatively, inhibiting NAD consumption provides another viable path to increasing NAD levels in diabetic hearts. Sterile Alpha and Tir Motif Containing 1 (SARM1) is an NAD hydrolase that mediates axonal degeneration through NAD degradation and promotion of mitochondrial dysfunction. However, the role SARM1 plays in heart disease has not been investigated. We subjected male wild type (WT) and global SARM1 knockout mice (KO) to chronic diabetic stress induced by streptozotocin injections. We showed that 16-week diabetic stress promoted progressive decline in systolic and diastolic function as measured by longitudinal echocardiography. SARM1 deletion (diabetic KO) improved systolic and diastolic function of diabetic mice, despite similar glucose, and plasma aqueous and lipid metabolite levels as the diabetic wild-type mice. Diabetic KO hearts showed increased NAD levels, suggesting that SARM1 may be activated to promote NAD decline in diabetic hearts. Transcriptomic analysis identified 1948 differentially expressed genes in diabetic WT hearts, compared to non-diabetic WT hearts. Gene Module Network Analysis identified upregulation of fatty acid metabolic processes and suppression of genes involved in mitochondrial processes in diabetic hearts. We measured mitochondrial oxygen consumption rate and found suppressed mitochondrial respiration in diabetic WT hearts. SARM1 deficiency reversed the upregulated fatty acid metabolic genes, improved mitochondrial respiration, and elevated NAD levels in diabetic hearts. Genes such as CD36, HADHA, Acot2, and malonyl-CoA are all downregulated by SARM1 deficiency, indicating that SARM1 deficiency may relieve lipotoxicity by improving mitochondrial function and modifying metabolic transcriptional networks in diabetic hearts. Future analysis will shed light on how SARM1 contributes to lipotoxicity as a new pathogenic mechanism of diabetic cardiomyopathy.

739-P: Metabolome Alterations Associated with 12-Week Sitting Time Reduction among Sedentary, Postmenopausal Latinas

Background: Prolonged sitting is associated with health risk. The metabolic impact of replacing sitting time with standing is unknown. We explored metabolome changes after a 12-week standing intervention. Methods: Sedentary postmenopausal Latinas with overweight (N=254; 55+ years of age; BMI ≥25 kg/m2) were randomized to an increased standing intervention or a health education control group. Clinical, behavioral and fasting plasma measurements were collected at baseline and 12-weeks. Sitting, standing and stepping time was assessed objectively by a thigh-worn inclinometer (activPAL). Aqueous metabolites and carnitines were measured using LC-MS/MS. Results: Top tertile of intervention group Best Responders (N=43) was selected by criteria of change in mean sitting bout duration and total sitting time. Variable-Matched Controls (N=43) were selected from the control group using a random forest model trained to predict the Best-Responders. Best Responders changed sitting and standing time by -110.0 (11.0) and 104.6 (10.1) min, respectively, compared to the Matched Controls change of 7.1 (9.8) and -7.8 (9.0) min, respectively. A covariate-controlled GLM revealed significant group differences in change scores of 24 metabolites (FDR q = 0.048-2.1E-4) from baseline to 12-week follow-up. Enzyme enrichment predicted significant functional changes in enzymes involved in glutamate and histidine catabolism. Pathway analysis showed significant effects in 14 metabolites of aminoacyl tRNA biosynthesis, as well as 4 metabolites involved in phenylalanine, tyrosine, tryptophan, ubiquinone/terpenoid-quinone biosynthesis and beta-alanine metabolism (all p &amp;lt; 0.05). Metabolite change scores mapped to central carbon metabolism with significant elevation of 14 amino acids involved in pyruvate, acetoacetyl- and acetyl-CoA metabolism, and TCA cycle intermediate biosynthesis. Conclusion: Standing intervention results in broad amino acid metabolism alterations. Disclosure J.Patterson: None. P.Jasbi: None. H.Gu: None. M.Allison: None. C.Reuter: None. B.Rana: None. L.Natarajan: None. D.D.Sears: None. Funding American Heart Association (16SFRN28420000)

Cerebrospinal Fluid Metabolomics: Pilot Study of Using Metabolomics to Assess Diet and Metabolic Interventions in Alzheimer's Disease and Mild Cognitive Impairment.

Brain glucose hypometabolism is an early sign of Alzheimer's disease (AD), and interventions which offset this deficit, such as ketogenic diets, show promise as AD therapeutics. Conversely, high-fat feeding may exacerbate AD risk. We analyzed the metabolomic profile of cerebrospinal fluid (CSF) in a pilot study of older adults who underwent saline and triglyceride (TG) infusions. Older adults (12 cognitively normal (CN), age 65.3 ± 8.1, and 9 with cognitive impairment (CI), age 70.9 ± 8.6) underwent a 5 h TG or saline infusion on different days using a random crossover design; CSF was collected at the end of infusion. Aqueous metabolites were measured using a targeted mass spectroscopy (MS) platform focusing on 215 metabolites from over 35 different metabolic pathways. Data were analyzed using MetaboAnalyst 4.0 and SAS. Of the 215 targeted metabolites, 99 were detectable in CSF. Only one metabolite significantly differed by treatment: the ketone body 3-hydroxybutyrate (HBA). Post hoc analyses showed that HBA levels were associated with age and markers of metabolic syndrome and demonstrated different correlation patterns for the two treatments. When analyzed by cognitive diagnosis group, TG-induced increases in HBA were over 3 times higher for those with cognitive impairment (change score CN +9.8 uM ± 8.3, CI +32.4 ± 7.4, p = 0.0191). Interestingly, individuals with cognitive impairment had higher HBA levels after TG infusion than those with normal cognition. These results suggest that interventions that increase plasma ketones may lead to higher brain ketones in groups at risk for AD and should be confirmed in larger intervention studies.

Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women.

Demographic and clinical factors influence the metabolome. The discovery and validation of disease biomarkers are often challenged by potential confounding effects from such factors. To address this challenge, we investigated the magnitude of the correlation between serum and urine metabolites and demographic and clinical parameters in a well-characterized observational cohort of 444 post-menopausal women participating in the Women's Health Initiative (WHI). Using LC-MS and lipidomics, we measured 157 aqueous metabolites and 756 lipid species across 13 lipid classes in serum, along with 195 metabolites detected by GC-MS and NMR in urine and evaluated their correlations with 29 potential disease risk factors, including demographic, dietary and lifestyle factors, and medication use. After controlling for multiple testing (FDR < 0.01), we found that log-transformed metabolites were mainly associated with age, BMI, alcohol intake, race, sample storage time (urine only), and dietary supplement use. Statistically significant correlations were in the absolute range of 0.2-0.6, with the majority falling below 0.4. Incorporation of important potential confounding factors in metabolite and disease association analyses may lead to improved statistical power as well as reduced false discovery rates in a variety of data analysis settings.

Machine and deep learning identified metabolites and clinical features associated with gallstone disease

Machine Learning (ML) algorithms can be used to analyze metabolomic expression data to explore the association between metabolite expression and disease etiology. In this study, we used and compared the performance of ML algorithms to analyze polar aqueous and blood-based lipid-based metabolites to identify meaningful patterns correlated with the development of gallstone disease (GSD) while examining the sex disparity. We also developed ML approaches that used clinical risk factors for predicting GSD, including age, obesity, body mass index, hemoglobin A1c, dyslipidemia index cholesterol to high-density lipoprotein ratio (CHOL/HDL). A more powerful data fusion model that combines both metabolomic and clinical features achieved accuracy of 83% for accurate prediction of the presence of GSD.

Extracellular extracts of antagonistic fungi,Trichoderma longibrachiatum and Trichoderma viride, as larvicides against dengue vectors, Aedes aegypti and Aedes albopictus

Aedes aegypti and Aedes albopictus are the responsible vectors of transmitting dengue in Sri Lanka. Excessive use of chemical pesticides causes insecticide resistance. Therefore, mosquito biolarvicides remain to be an important method for mosquito control. The use of fungal metabolites can be considered a tool to overcome the issues related to insecticide resistance and environmental pollution. The present study focused on the evaluation of the mosquito larvicidal efficacy of Trichoderma longibrachiatum and Trichoderma viride aqueous and crude extracellular metabolites against Ae.aegypti and Ae.albopictus under the laboratory conditions. Fungi were grown in Richards' broth medium for collection of fungal biomass. Eight test concentrations of extracellular aqueous and crude fungal filtrates in a range from 12.5 gL−1 to 175 gL−1 were prepared and batches of 25 laboratory-reared third instar larvae of Ae.aegypti and Ae.albopictus were exposed to each test concentration separately with three replicates. Control bioassays were conducted with distilled water and larval mortality was recorded after 24 hours and 48 hours of exposure periods.The study revealed that LC50 values and LC90 values for extracellular crude metabolites for two fungal species were lower than the values obtained for extracellular aqueous extracts. All the LC50 values obtained for Ae.albopictus were lower than that of Ae.aegypti. LC50 values obtained for T.viride aqueous extracellular metabolites were 81.46 gL−1 and 87.75 gL−1in 24 hours, 70.66 gL-1 and 77.93 gL−1 in 48 hours for Ae. albopictus and Ae. aegypti respectively. LC50 values obtained for T.longibrachiatum aqueous extracellular metabolites were recorded as 103.35gL−1 and 108.79gL−1 in 24 hours and 93.05gL−1 and 102.1gL−1 in 48 hours for Ae.albopictus and Ae.aegypti respectively. It was revealed that LC50 values obtained for T.viride crude extracellular metabolites were 34.42gL−1 and 47.27gL−1 in 24 hours, 30.29gL−1 and 41.56gL−1 in hours for Ae.albopictus and Ae.aegypti respectively. LC50 values obtained for T.longibrachiatum crude extracellular metabolites were 49.84gL−1 and 59.24gL−1 in 24 hours, 40.73gL−1 and 51.49gL−1 in 48 hours for Ae.albopictus and Ae.aegypti respectively. It can be concluded that there is a potential for using T.viride as an effective larvicide against dengue mosquitoes.

Viscum album mother tinctures: Harvest conditions and host trees influence the plant metabolome and the glycolytic pathway of breast cancer cells.

Viscum album is a semi-parasitic plant used for over one hundred years in complementary cancer therapy. The main commercial drugs used in cancer patients' treatment are derived from the aqueous V. album extracts, whose cytotoxic potential is mostly attributed to the aqueous soluble antitumoral metabolites. On the counterpart, ethanol solvents must be used to obtain V. album mother tinctures. This methodology permits better solubilization of phenolic compounds, among others, which present antitumoral bioactivity. Recently, the metabolomics approach revealed the influence of the host tree on the V. album subspecies differentiation. To increase the scientific information about the chemical differences related to the host trees and to clarify the seasonal influences, in this study, the metabolome of 50V. album mother tinctures from three subspecies (abietis, album, austriacum) and five host trees (Malus domestica, Quercus sp., Ulmus carpinifolia, Pinus sylvestris, Abies alba) was evaluated using summer and winter plant harvests. The in vitro cytotoxic activities were investigated in breast cancer cells (MDA-MB-231) and immortalized normal human keratinocytes (HaCaT). The summer V. album mother tinctures presented higher cytotoxic activity than winter ones. Among the summer samples, those prepared with V. album subsp. album were more cytotoxic than V. album subsp. abietis and subsp. V. album subsp. austriacum. The V. album harvested from Quercus petraea and Abies alba inhibited the key-glycolytic enzymes: hexokinase (HK), phosphofructokinase (PFK), pyruvate kinase (PK). This activity was related to a reduction in glucose uptake and lactate production, which were host-tree-time-dose-dependent. The untargeted metabolomic approach was able to discriminate the mother tinctures according to respective botanical classes and harvest season. A total of 188 metabolites were annotated under positive and negative modes. Fourteen compounds were responsible for the samples differentiation, and, to the best of our knowledge, eight were described in the Viscum album species for the first time. Our study shows the interruption of the Warburg effect as a novel antitumoral mechanism triggered by V. album mother tinctures, which is related to their metabolite profile. These results bring scientific evidence that encourages the use of V. album mother tinctures as a natural product for cancer therapy.

NMR-Based Metabolomic Analysis of Cardiac Tissues Clarifies Molecular Mechanisms of CVB3-Induced Viral Myocarditis and Dilated Cardiomyopathy.

Viral myocarditis (VMC), which is defined as inflammation of the myocardium with consequent myocardial injury, may develop chronic disease eventually leading to dilated cardiomyopathy (DCM). Molecular mechanisms underlying the progression from acute VMC (aVMC), to chronic VMC (cVMC) and finally to DCM, are still unclear. Here, we established mouse models of VMC and DCM with Coxsackievirus B3 infection and conducted NMR-based metabolomic analysis of aqueous metabolites extracted from cardiac tissues of three histologically classified groups including aVMC, cVMC and DCM. We showed that these three pathological groups were metabolically distinct from their normal counterparts and identified three impaired metabolic pathways shared by these pathological groups relative to normal controls, including nicotinate and nicotinamide metabolism; alanine, aspartate and glutamate metabolism; and D-glutamine and D-glutamate metabolism. We also identified two extra impaired metabolic pathways in the aVMC group, including glycine, serine and threonine metabolism; and taurine and hypotaurine metabolism Furthermore, we identified potential cardiac biomarkers for metabolically distinguishing these three pathological stages from normal controls. Our results indicate that the metabolomic analysis of cardiac tissues can provide valuable insights into the molecular mechanisms underlying the progression from acute VMC to DCM.

Evaluation of pH regulation in carbohydrate-type municipal waste anaerobic co-fermentation: Roles of pH at acidic, neutral and alkaline conditions

This study investigated and evaluated the roles of acidic (pH 4.0), neutral (pH 7.0) and alkaline (pH 10.0) in anaerobic co-fermentation of sewage sludge and carbohydrate-type municipal waste. CO2, CH4 and H2 are produced in acidic, neutral and alkaline fermentation, respectively. The neutral co-fermentation contained the vast number of aqueous metabolites as total of 22.12 g/L, with the advantage of over 50 % biodegradable components in extracellular polymeric substance and over 80 % hydrolysis rate. Acidic and alkaline pH facilitated ammonia release, with the max concentration of 0.46 g/L and 0.44 g/L, respectively. Microbial analysis indicated that pH is the key parameter to impact microbial activity and drive microbial community transition. The high abundance of Lactobacillus, Bifidobacterium and Clostridium was associated with harvest of ethanol, lactic acid and acetate in acidic, neutral and alkaline fermentation. Meanwhile, the floc feature showed better dewaterability (zeta potential −8.48 mV) and poor nutrient convey (distribution spread index 1.03) in acidic fermentation. In summary, acidic and alkaline fermentation were prioritised for targeted spectrum. Neutral fermentation was prioritised for high production. This study presented an upgraded understanding of the pH role in fermentation performance, microbial structure and sludge behaviour, which benefits the development of fermentation processing unit.

Adaptation of the infant gut microbiome during the complementary feeding transition.

The infant gut microbiome progresses in composition and function during the introduction of solid foods throughout the first year of life. The purpose of this study was to characterize changes in healthy infant gut microbiome composition, metagenomic functional capacity, and associated metabolites over the course of the complementary feeding period. Fecal samples were obtained at three 'snapshot' timepoints from infants participating in the 'Nourish to Flourish' pilot study: before the introduction of solid foods at approximately 4 months of age, after introducing solid foods at 9 months of age, and after continued diet diversification at 12 months of age. KEGG and taxonomy assignments were correlated with LC-MS metabolomic profiles to identify patterns of co-abundance. The composition of the microbiome diversified during the first year of life, while the functional capacity present in the gut microbiome remained stable. The introduction of solid foods between 4 and 9 months of age corresponded to a larger magnitude of change in relative abundance of sequences assigned to KEGG pathways and taxonomic assignments, as well as to stronger correlations with metabolites, compared to the magnitude of changes and number of correlations seen during continued diet diversification between 9 and 12 months of age. Changes in aqueous fecal metabolites were more strongly correlated with KEGG pathway assignments, while changes in lipid metabolites associated with taxonomic assignments, particularly between 9 and 12 months of age. This study establishes trends in microbiome composition and functional capacity occurring during the complementary feeding period and identifies potential metabolite targets for future investigations.

SARM1 NAD Hydrolase Deficiency Normalizes Fibrosis and Ameliorates Cardiac Dysfunction in Diabetic Hearts

Decline in cellular NAD levels emerges as a hallmark of diseases such as diabetes and heart failure. Strategies to activate NAD synthesis pathways and replenish NAD levels have shown promises to treat heart disease. However, how NAD consumption mechanisms lead to NAD depletion and disease pathogeneses are less understood. SARM1 is an intracellular NAD hydrolase, and its role in heart disease has never been investigated. We therefore hypothesized that SARM1 deficiency may protect hearts against diabetic cardiomyopathy. Male C57BL/6 wild‐type (WT) and SARM1‐KO mice were challenged with 16‐week diabetic stress initiated by streptozotocin injections (STZ). Longitudinal cardiac function was measured by echocardiography after 8 or 16 weeks of diabetes, and tissue and plasma samples were harvested for biochemical and molecular analyses. Chronic diabetic stress lowered cardiac NAD levels and led to progressive decline in systolic function of WT mice. Diabetic SARM1‐KO mice showed improved systolic function and increased cardiac NAD levels, compared to diabetic WT mice. Progressive decline in diastolic function induced by chronic diabetes was also improved by SARM1 deficiency. Heart weights and hyperglycemia were similar in diabetic WT or diabetic SARM1‐KO mice. Metabolomic analyses of plasma showed significant changes in 58 out of ~300 aqueous metabolites assessed when comparing non‐diabetic WT to diabetic WT plasma, including increased levels of glucose and branched‐chain amino acids. However, the 58 metabolites showed no changes in levels when comparing diabetic WT to diabetic SARM1‐KO plasma. Similarly, we found that 26 out of 85 lipid species showed significant changes when comparing non‐diabetic WT to diabetic WT plasma, and only one of these 26 lipid metabolites showed a significant change between diabetic WT and diabetic SARM1‐KO plasma. The data suggest that cardioprotection in SARM1‐KO mice was likely due to the reversal of cardiac pathogenic mechanisms but not improved systemic metabolic state.To determine how SARM1 deficiency affects cardiac NAD metabolism, expression of genes in NAD metabolic pathways were assessed. Levels of Bst1 and Cd38 did not change in SARM1‐KO hearts, suggesting that SARM1 deficiency did not induce compensatory changes in expression of the other NAD hydrolases. SARM1‐KO hearts showed lower expressions in some of the NAD consuming genes (e.g. Sirtuins) and NAD synthesis genes (e.g. Nmnats). Cardiac dysfunction marker, Nppb expression, was induced in diabetic WT hearts, and was reversed by SARM1 deficiency. Cardiac fibrosis and pro‐fibrotic genes (e.g. ctgf) were induced in diabetic WT hearts and were suppressed by SARM1 deficiency. Using the total SARM1 KO mice, our data support that SARM1 deficiency normalizes decline in NAD levels and pro‐fibrotic pathways to ameliorate diabetic cardiomyopathy. Further experiments are warranted to dissect the cell‐type specific roles of SARM1 in diabetic hearts.