Integrative Molecular Phenotyping
INTEGRATIVE MOLECULAR
PHENOTYPING
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY

PubMed

Circulating metabolites modulated by diet are associated with depression

Wed, 26/07/2023 - 12:00
Mol Psychiatry. 2023 Jul 26. doi: 10.1038/s41380-023-02180-2. Online ahead of print.ABSTRACTMetabolome reflects the interplay of genome and exposome at molecular level and thus can provide deep insights into the pathogenesis of a complex disease like major depression. To identify metabolites associated with depression we performed a metabolome-wide association analysis in 13,596 participants from five European population-based cohorts characterized for depression, and circulating metabolites using ultra high-performance liquid chromatography/tandem accurate mass spectrometry (UHPLC/MS/MS) based Metabolon platform. We tested 806 metabolites covering a wide range of biochemical processes including those involved in lipid, amino-acid, energy, carbohydrate, xenobiotic and vitamin metabolism for their association with depression. In a conservative model adjusting for life style factors and cardiovascular and antidepressant medication use we identified 8 metabolites, including 6 novel, significantly associated with depression. In individuals with depression, increased levels of retinol (vitamin A), 1-palmitoyl-2-palmitoleoyl-GPC (16:0/16:1) (lecithin) and mannitol/sorbitol and lower levels of hippurate, 4-hydroxycoumarin, 2-aminooctanoate (alpha-aminocaprylic acid), 10-undecenoate (11:1n1) (undecylenic acid), 1-linoleoyl-GPA (18:2) (lysophosphatidic acid; LPA 18:2) are observed. These metabolites are either directly food derived or are products of host and gut microbial metabolism of food-derived products. Our Mendelian randomization analysis suggests that low hippurate levels may be in the causal pathway leading towards depression. Our findings highlight putative actionable targets for depression prevention that are easily modifiable through diet interventions.PMID:37495887 | DOI:10.1038/s41380-023-02180-2

Generation of rat offspring using spermatids produced through in vitro spermatogenesis

Wed, 26/07/2023 - 12:00
Sci Rep. 2023 Jul 26;13(1):12105. doi: 10.1038/s41598-023-39304-1.ABSTRACTAn in vitro spermatogenesis method using mouse testicular tissue to produce fertile sperm was established more than a decade ago. Although this culture method has generally not been effective in other animal species, we recently succeeded in improving the culture condition to induce spermatogenesis of rats up to the round spermatid stage. In the present study, we introduced acrosin-EGFP transgenic rats in order to clearly monitor the production of haploid cells during spermatogenesis in vitro. In addition, a metabolomic analysis of the culture media during cultivation revealed the metabolic dynamics of the testis tissue. By modifying the culture media based on these results, we were able to induce rat spermatogenesis repeatedly up to haploid cell production, including the formation of elongating spermatids, which was confirmed histologically and immunohistochemically. Finally, we performed a microinsemination experiment with in vitro produced spermatids, which resulted in the production of healthy and fertile offspring. This is the first demonstration of the in vitro production of functional haploid cells that yielded offspring in animals other than mice. These results are expected to provide a basis for the development of an in vitro spermatogenesis system applicable to many other mammals.PMID:37495678 | DOI:10.1038/s41598-023-39304-1

Identification of metabolic pathways contributing to ER<sup>+</sup> breast cancer disparities using a machine-learning pipeline

Wed, 26/07/2023 - 12:00
Sci Rep. 2023 Jul 26;13(1):12136. doi: 10.1038/s41598-023-39215-1.ABSTRACTAfrican American (AA) women in the United States have a 40% higher breast cancer mortality rate than Non-Hispanic White (NHW) women. The survival disparity is particularly striking among (estrogen receptor positive) ER+ breast cancer cases. The purpose of this study is to examine whether there are racial differences in metabolic pathways typically activated in patients with ER+ breast cancer. We collected pretreatment plasma from AA and NHW ER+ breast cancer cases (AA n = 48, NHW n = 54) and cancer-free controls (AA n = 100, NHW n = 48) to conduct an untargeted metabolomics analysis using gas chromatography mass spectrometry (GC-MS) to identify metabolites that may be altered in the different racial groups. Unpaired t-test combined with multiple feature selection and prediction models were employed to identify race-specific altered metabolic signatures. This was followed by the identification of altered metabolic pathways with a focus in AA patients with breast cancer. The clinical relevance of the identified pathways was further examined in PanCancer Atlas breast cancer data set from The Cancer Genome Atlas Program (TCGA). We identified differential metabolic signatures between NHW and AA patients. In AA patients, we observed decreased circulating levels of amino acids compared to healthy controls, while fatty acids were significantly higher in NHW patients. By mapping these metabolites to potential epigenetic regulatory mechanisms, this study identified significant associations with regulators of metabolism such as methionine adenosyltransferase 1A (MAT1A), DNA Methyltransferases and Histone methyltransferases for AA individuals, and Fatty acid Synthase (FASN) and Monoacylglycerol lipase (MGL) for NHW individuals. Specific gene Negative Elongation Factor Complex E (NELFE) with histone methyltransferase activity, was associated with poor survival exclusively for AA individuals. We employed a comprehensive and novel approach that integrates multiple machine learning and statistical methods, coupled with human functional pathway analyses. The metabolic profile of plasma samples identified may help elucidate underlying molecular drivers of disproportionately aggressive ER+ tumor biology in AA women. It may ultimately lead to the identification of novel therapeutic targets. To our knowledge, this is a novel finding that describes a link between metabolic alterations and epigenetic regulation in AA breast cancer and underscores the need for detailed investigations into the biological underpinnings of breast cancer health disparities.PMID:37495653 | DOI:10.1038/s41598-023-39215-1

In-Depth Specificity Profiling of Endopeptidases Using Dedicated Mix-and-Split Synthetic Peptide Libraries and Mass Spectrometry

Wed, 26/07/2023 - 12:00
Anal Chem. 2023 Jul 26. doi: 10.1021/acs.analchem.3c01215. Online ahead of print.ABSTRACTProteases comprise the class of enzymes that catalyzes the hydrolysis of peptide bonds, thereby playing a pivotal role in many aspects of life. The amino acids surrounding the scissile bond determine the susceptibility toward protease-mediated hydrolysis. A detailed understanding of the cleavage specificity of a protease can lead to the identification of its endogenous substrates, while it is also essential for the design of inhibitors. Although many methods for protease activity and specificity profiling exist, none of these combine the advantages of combinatorial synthetic libraries, i.e., high diversity, equimolar concentration, custom design regarding peptide length, and randomization, with the sensitivity and detection power of mass spectrometry. Here, we developed such a method and applied it to study a group of bacterial metalloproteases that have the unique specificity to cleave between two prolines, i.e., Pro-Pro endopeptidases (PPEPs). We not only confirmed the prime-side specificity of PPEP-1 and PPEP-2, but also revealed some new unexpected peptide substrates. Moreover, we have characterized a new PPEP (PPEP-3) that has a prime-side specificity that is very different from that of the other two PPEPs. Importantly, the approach that we present in this study is generic and can be extended to investigate the specificity of other proteases.PMID:37495545 | DOI:10.1021/acs.analchem.3c01215

NMR Spectroscopic Identification of Urolithin G, a Novel Trihydroxy Urolithin Produced by Human Intestinal <em>Enterocloster</em> Species

Wed, 26/07/2023 - 12:00
J Agric Food Chem. 2023 Jul 26. doi: 10.1021/acs.jafc.3c01675. Online ahead of print.ABSTRACTUrolithins are gut microbiota metabolites of ellagic acid. Here, we have identified and chemically characterized a novel urolithin produced from urolithin D (3,4,8,9-tetrahydroxy urolithin) by in vitro incubation with different human gut Enterocloster species under anaerobic conditions. Urolithin G (3,4,8-trihydroxy urolithin) was identified by 1H NMR, 13C NMR, UV, HRMS, and 2D NMR. For the identification, NMR spectra of other known urolithins were also recorded and compared. Urolithin G was present in the feces of 12% of volunteers in an overweight-obese group after consuming an ellagitannin-rich pomegranate extract. The production of urolithin G required a bacterial 9-dehydroxylase activity and was not specific to the known human urolithin metabotypes A and B. The ability to produce urolithin G could be considered an additional metabolic feature for volunteer stratification and bioactivity studies. This is the first urolithin with a catechol group in ring A while having only one hydroxyl in ring B, a unique feature not found in human and animal samples so far.PMID:37494568 | DOI:10.1021/acs.jafc.3c01675

A Structure-Guided Molecular Network Strategy for Global Untargeted Metabolomics Data Annotation

Wed, 26/07/2023 - 12:00
Anal Chem. 2023 Jul 26. doi: 10.1021/acs.analchem.3c00849. Online ahead of print.ABSTRACTLarge-scale metabolite annotation is a bottleneck in untargeted metabolomics. Here, we present a structure-guided molecular network strategy (SGMNS) for deep annotation of untargeted ultra-performance liquid chromatography-high resolution mass spectrometry (MS) metabolomics data. Different from the current network-based metabolite annotation method, SGMNS is based on a global connectivity molecular network (GCMN), which was constructed by molecular fingerprint similarity of chemical structures in metabolome databases. Neighbor metabolites with similar structures in GCMN are expected to produce similar spectra. Network annotation propagation of SGMNS is performed using known metabolites as seeds. The experimental MS/MS spectra of seeds are assigned to corresponding neighbor metabolites in GCMN as their "pseudo" spectra; the propagation is done by searching predicted retention times, MS1, and "pseudo" spectra against metabolite features in untargeted metabolomics data. Then, the annotated metabolite features were used as new seeds for annotation propagation again. Performance evaluation of SGMNS showed its unique advantages for metabolome annotation. The developed method was applied to annotate six typical biological samples; a total of 701, 1557, 1147, 1095, 1237, and 2041 metabolites were annotated from the cell, feces, plasma (NIST SRM 1950), tissue, urine, and their pooled sample, respectively, and the annotation accuracy was >83% with RSD <2%. The results show that SGMNS fully exploits the chemical space of the existing metabolomes for metabolite deep annotation and overcomes the shortcoming of insufficient reference MS/MS spectra.PMID:37493263 | DOI:10.1021/acs.analchem.3c00849

Expanding Non-invasive Approaches for Fish-Health Monitoring: A Survey of the Epidermal Mucus Metabolomes of Phylogenetically Diverse Freshwater Fish Species

Wed, 26/07/2023 - 12:00
J Fish Biol. 2023 Jul 26. doi: 10.1111/jfb.15512. Online ahead of print.ABSTRACTThere is a pressing need for more-holistic approaches to fisheries assessments along with growing demand to reduce the health impacts of sample collections. Metabolomic tools enable the use of sample matrices that can be collected with minimal impact on the organism (e.g., blood, urine, mucus) and provide high throughput, untargeted biochemical information without the requirement of a sequenced genome. These qualities make metabolomics ideal for monitoring a wide range of fish species, particularly those under protected status. In the current study, we surveyed the relative abundances of 120 endogenous metabolites in epidermal mucus across eight freshwater fish species belonging to seven phylogenetic orders. Principal components analysis was used to provide an overview of the dataset, revealing strong inter-species relationships in the epidermal mucus metabolome. Normalized relative abundances of individual endogenous metabolites were then used to identify commonalities across multiple species, as well as those metabolites that showed notable species specificity. For example, taurine was measured in high relative abundance in the epidermal mucus of common carp (Cyprinus carpio), northern pike (Esox lucius), golden shiner (Notemigonus crysoleucas), rainbow trout (Oncorhynchus mykiss), and rainbow smelt (Osmerus mordax), whereas γ-amino butyric acid (GABA) displayed a uniquely high relative abundance in flathead catfish (Pylodictis olivaris). Finally, hierarchical cluster analysis was used to evaluate species relatedness as characterized by both the epidermal mucus metabolome (phenotype) and genetic phylogeny (genotype). This comparison revealed species for which relatedness in the epidermal mucus metabolome composition closely aligns with phylogenetic relatedness (e.g., N. crysoleucas and C. carpio), as well as species for which these two measures are not well aligned (e.g., P. olivaris and P. spathula). These, and other findings reported here, highlight novel areas for future research with fish including development of epidermal mucus-based markers for non-invasive species-specific and -non-specific health monitoring, sex determination, and hypoxia tolerance. This article is protected by copyright. All rights reserved.PMID:37492948 | DOI:10.1111/jfb.15512

Quality analysis and metabolomic profiling of the effects of exogenous abscisic acid on rabbiteye blueberry

Wed, 26/07/2023 - 12:00
Front Plant Sci. 2023 Jul 10;14:1224245. doi: 10.3389/fpls.2023.1224245. eCollection 2023.ABSTRACTBlueberry is a characteristic berry fruit shrub of the genus Vaccinium in the Rhododendron family. The fruit is rich in anthocyanins and has a variety of nutritional and health functions. This study aimed to systematically study the effect of exogenous abscisic acid (ABA) application on ripening and metabolites in blueberry fruits. Blueberry fruit ripening was divided into six stages for further analysis. In this study, nontarget metabolomics was performed to demonstrate the effect on metabolite levels. The results showed that 1000 mg/L ABA significantly promoted fruit ripening and increased anthocyanin content. Moreover, exogenous ABA treatment can affect endogenous ABA levels and improve its antioxidant capacity. Important metabolites of the flavonoid pathway were detected, and the results showed that anthocyanin synthesis increased, and some other bioactive metabolite levels decreased. After comprehensive assessments, we believe that 1000 mg/L exogenous ABA application will have positive impacts on blueberry fruit quality and economic benefits.PMID:37492772 | PMC:PMC10364122 | DOI:10.3389/fpls.2023.1224245

The impact of high-glucose or high-fat diets on the metabolomic profiling of mice

Wed, 26/07/2023 - 12:00
Front Nutr. 2023 Jul 10;10:1171806. doi: 10.3389/fnut.2023.1171806. eCollection 2023.ABSTRACTOBJECTIVE: Diets high in glucose or fat contribute to an increased prevalence of the diseases. Therefore, the objective of the current research was to observe and evaluate the impact of dietary components on different metabolomic profiles in primary tissues of mice.METHODS: For 8 weeks, diet with high-glucose or-fat was given to C57BL/6 J mice. The levels of metabolites in the primary tissues of mice were studied using gas chromatography-mass spectrometry (GC-MS) and analyzed using multivariate statistics.RESULTS: By comparing the metabolic profiles between the two diet groups and control group in mice main tissues, our study revealed 32 metabolites in the high-glucose diet (HGD) group and 28 metabolites in the high-fat diet (HFD) group. The most significantly altered metabolites were amino acids (AAs; L-alanine, L-valine, glycine, L-aspartic acid, L-isoleucine, L-leucine, L-threonine, L-glutamic acid, phenylalanine, tyrosine, serine, proline, and lysine), fatty acids (FAs; propanoic acid, 9,12-octadecadienoic acid, pentadecanoic acid, hexanoic acid, and myristic acid), and organic compounds (succinic acid, malic acid, citric acid, L-(+)-lactic acid, myo-inositol, and urea). These metabolites are implicated in many metabolic pathways related to energy, AAs, and lipids metabolism.CONCLUSION: We systematically analyzed the metabolic changes underlying high-glucose or high-fat diet. The two divergent diets induced patent changes in AA and lipid metabolism in the main tissues, and helped identify metabolic pathways in a mouse model.PMID:37492592 | PMC:PMC10363684 | DOI:10.3389/fnut.2023.1171806

Arecoline aggravates acute ulcerative colitis in mice by affecting intestinal microbiota and serum metabolites

Wed, 26/07/2023 - 12:00
Front Immunol. 2023 Jul 10;14:1197922. doi: 10.3389/fimmu.2023.1197922. eCollection 2023.ABSTRACTArecoline is an alkaloid extracted from betel nut, which has various pharmacological effects. In the present study, we showed that arecoline aggravated experimental acute ulcerative colitis (UC) induced by dextran sodium sulfate (DSS) in mice. We measured body weight and colon length, evaluated disease activity index, colon pathology sections, and levels of colonic inflammatory factors. Arecoline exacerbated the clinical signs of UC and the colonic inflammatory response in mice. The results of 16S rRNA sequencing of fecal samples showed a significant decrease in the percentage of probiotic bacteria Ligilactobacillus, Limosilactobacillus and Lactobacillus and a significant increase in the percentage of conditionally pathogenic bacteria Odoribacter and Bacteroides after arecoline treatment. Serum untargeted metabolomics showed that arecoline intervention reduced the levels of ergothioneine, pentostatin, diadenosine tetraphosphate and other metabolites and modulated nicotinate and nicotinamide metabolism, metabolic pathways, glyoxylate and dicarboxylate metabolism, and other metabolic pathways of intestinal microorganisms. According to the combined microbial and metabolite analysis, arecoline influences metabolite levels by modulating the intestinal microbiota. In summary, it was found that arecoline treatment exacerbated colonic injury and intestinal inflammatory responses in UC mice, disrupted the host's intestinal flora, and affected changes in flora metabolites, thereby exacerbating the development of colonic inflammation. Therefore, the consumption of betel nut can be associated with the risk of aggravating UC.PMID:37492574 | PMC:PMC10363717 | DOI:10.3389/fimmu.2023.1197922

Differentiation in TCM patterns of chronic obstructive pulmonary disease by comprehensive metabolomic and lipidomic characterization

Wed, 26/07/2023 - 12:00
Front Immunol. 2023 Jul 10;14:1208480. doi: 10.3389/fimmu.2023.1208480. eCollection 2023.ABSTRACTINTRODUCTION: Chronic obstructive pulmonary disease (COPD) is a complex disease involving inflammation, cell senescence, and autoimmunity. Dialectical treatment for COPD with traditional Chinese medicine (TCM) has the advantage of fewer side effects, more effective suppression of inflammation, and improved immune function. However, the biological base of TCM pattern differentiation in COPD remains unclear.METHODS: Liquid Chromatography-Quadrupole-Orbitrap mass spectrometry (LC-Q-Orbitrap MS/MS) based metabolomics and lipidomics were used to analyze the serum samples from COPD patients of three TCM patterns in Lung Qi Deficiency (n=65), Lung-Kidney Qi Deficiency (n=54), Lung-Spleen Qi Deficiency (n=52), and healthy subjects (n=41). Three cross-comparisons were performed to characterize metabolic markers for different TCM patterns of COPD vs healthy subjects.RESULTS: We identified 28, 8, and 16 metabolites with differential abundance between three TCM patterns of COPD vs healthy subjects, respectively, the metabolic markers included cortisol, hypoxanthine, fatty acids, alkyl-/alkenyl-substituted phosphatidylethanolamine, and phosphatidylcholine, etc. Three panels of metabolic biomarkers specific to the above three TCM patterns yielded areas under the receiver operating characteristic curve of 0.992, 0.881, and 0.928, respectively, with sensitivity of 97.1%, 88.6%, and 91.4%, respectively, and specificity of 96.4%, 81.8%, and 83.9%, respectively.DISCUSSION: Combining metabolomics and lipidomics can more comprehensively and accurately trace metabolic markers. As a result, the differences in metabolism were proven to underlie different TCM patterns of COPD, which provided evidence to aid our understanding of the biological basis of dialectical treatment, and can also serve as biomarkers for more accurate diagnosis.PMID:37492573 | PMC:PMC10363632 | DOI:10.3389/fimmu.2023.1208480

Glucocorticoid dysfunction in children with severe malaria

Wed, 26/07/2023 - 12:00
Front Immunol. 2023 Jul 10;14:1187196. doi: 10.3389/fimmu.2023.1187196. eCollection 2023.ABSTRACTINTRODUCTION: Malaria remains a widespread health problem with a huge burden. Severe or complicated malaria is highly lethal and encompasses a variety of pathological processes, including immune activation, inflammation, and dysmetabolism. Previously, we showed that adrenal hormones, in particular glucocorticoids (GCs), play critical roles to maintain disease tolerance during Plasmodium infection in mice. Here, GC responses were studied in Cameroon in children with uncomplicated malaria (UM), severe malaria (SM) and asymptomatic controls (AC).METHODS: To determine the sensitivity of leukocytes to GC signaling on a transcriptional level, we measured the ex vivo induction of glucocorticoid induced leucine zipper (GILZ) and FK506-binding protein 5 (FKBP5) by GCs in human and murine leukocytes. Targeted tracer metabolomics on peripheral blood mononuclear cells (PBMCs) was performed to detect metabolic changes induced by GCs.RESULTS: Total cortisol levels increased in patients with clinical malaria compared to AC and were higher in the SM versus UM group, while cortisol binding globulin levels were unchanged and adrenocorticotropic hormone (ACTH) levels were heterogeneous. Induction of both GILZ and FKBP5 by GCs was significantly reduced in patients with clinical malaria compared to AC and in malaria-infected mice compared to uninfected controls. Increased activity in the pentose phosphate pathway was found in the patients, but this was not affected by ex vivo stimulation with physiological levels of hydrocortisone. Interestingly, hydrocortisone induced increased levels of cAMP in AC, but not in clinical malaria patients.DISCUSSION: Altogether, this study shows that patients with SM have increased cortisol levels, but also a decreased sensitivity to GCs, which may clearly contribute to the severity of disease.PMID:37492570 | PMC:PMC10364055 | DOI:10.3389/fimmu.2023.1187196

Exploration of potential molecular mechanisms and genotoxicity of anti-cancer drugs using next generation knowledge discovery methods

Wed, 26/07/2023 - 12:00
Pak J Med Sci. 2023 Jul-Aug;39(4):988-993. doi: 10.12669/pjms.39.4.7427.ABSTRACTBACKGROUND & OBJECTIVES: Accurate identification of molecular and toxicological functions of potential drug candidates is crucial for drug discovery and development. This may aid in the evaluation of the risks of genotoxicity and carcinogenesis. In addition, in silico characterization of existing and new drugs might offer clues for future investigations and aid in the development of anticancer treatments. Using next-generation knowledge discovery (NGKD) methodology, we endeavored to establish a risk assessment of anticancer drugs for their molecular mechanism(s) and genotoxicity.METHODS: This study was performed at the Faculty of Applied Medical Sciences, King Abdulaziz University (KAU), Jeddah, Saudi Arabia, in November 2022. Using innovative in silico model systems, we assessed the molecular mechanism of action and toxicity of around 20 distinct substances such as Deguelin, Etoposide, Camptothecin, Cytarabine (Ara-C), Cisplatin, Hydroxyurea, Trichostain A, Antimycin, Colchicine, 2-deoxyglucose, Tunicamycin, Thapsigargin, Vinblastin, Docetaxel, Oxaliplatin, Methotrexate, 5-flurouracil, Bleomycin, Taxol (Paclitaxel), and Apicidin. Using the Ingenuity Pathway Analysis (IPA) knowledge base, the number of targets for each compound was determined in silico. Subsequently, they were examined using Fisher's exact test and Benjamini Hochberg Multiple Testing Correction (P<0.05) and submitted to core analysis with IPA to decode the biological and toxicological activities differently controlled by these drugs. In addition, a multiple comparison module in IPA was used to compare the core analyses of each molecule. In addition, we obtained the top 100 protein targets of Etoposide, Camptothecin, and Ara-C using SwissTargetPrediction, as well as the key pathways and gene ontologies affected by these drugs and disease associations using the WebGestalt tool.RESULTS: We identified distinct toxicological signatures and canonical signaling pathways in tumor cell lines regulated by these 20 anticancer drugs. These signaling pathways included cell death and apoptosis in addition to molecular processes, p53 signaling, and aryl hydrocarbon receptor signaling. The TP53 signaling pathway is utilized by these agents to effectively trigger cell death and apoptosis, and p53 functions as a master regulator in a variety of cellular stress responses, including genotoxic stress.CONCLUSION: Our research has laid the groundwork for the discovery of additional biomarkers that assess both the safety and effectiveness of treatment. Our mechanism based "NGKD" tools have more relevance for the identification of safer therapies and has the potential to lead to the rational screening of drug candidates targeting specific molecular networks and canonical pathways implicated in cancer and genotoxicity. In addition, the combination of protein, microRNA and metabolome profiles may be essential for the development of translatable biomarkers for the safety and efficacy of pharmacotherapeutic agents.Our research has laid the groundwork for the discovery of additional biomarkers that assess both the safety and the effectiveness of a treatment.PMID:37492288 | PMC:PMC10364265 | DOI:10.12669/pjms.39.4.7427

<em>Saccharomyces boulardii</em> protects against murine experimental colitis by reshaping the gut microbiome and its metabolic profile

Wed, 26/07/2023 - 12:00
Front Microbiol. 2023 Jul 10;14:1204122. doi: 10.3389/fmicb.2023.1204122. eCollection 2023.ABSTRACTINTRODUCTION: Saccharomyces boulardii (S. boulardii) has shown clinical beneficial effect in inflammatory bowel diseases recently. However, the underlying mechanisms remain incompletely understood. The aim of present study was to tested whether S. boulardii targets gut microbiota to protect against the development of experimental colitis in mice.METHODS: Female C57BL/6 mice were gavaged with S. boulardii for 3 weeks before being challenged with dextran sulphate sodium to induce ulcerative colitis. Bodyweight, diarrhea severity, intestinal permeability, colonic histopathology, colonic inflammatory status, and epithelial cell death of mice were examined. The fecal microbiota and its metabolomic profiles were detected by 16S rDNA sequencing and UPLC-MS, respectively.RESULTS AND DISCUSSION: Supplementation with S. boulardii significantly prevented weight loss and colon shortening, lowered colonic inflammation, ameliorated epithelial injury, and enhanced the intestinal barrier integrity in colitis mice. By inhibiting the abundance of pathogenic bacteria and increasing the probiotics abundance, S. boulardii improved the microbial diversity and restored the microbiota dysbiosis. Moreover, it also modulated microbial metabolome and altered the relative contents of metabolites involving amino acids, lipids, energy and vitamin metabolisms. These yeast-driven shifts in gut flora and metabolites are were associated with each other and with the inflammation profile in colitis. Collectively, S. boulardii exerts protective effects on colitis in mice by reshaping gut microbiome and its metabolic profile, indicating it as a promising therapeutic avenue.PMID:37492256 | PMC:PMC10363984 | DOI:10.3389/fmicb.2023.1204122

Gut microbiome interacts with pregnancy hormone metabolites in gestational diabetes mellitus

Wed, 26/07/2023 - 12:00
Front Microbiol. 2023 Jul 10;14:1175065. doi: 10.3389/fmicb.2023.1175065. eCollection 2023.ABSTRACTINTRODUCTION: Change in the composition of intestinal microbiota is associated with metabolic disorders such as gestational diabetes mellitus (GDM).METHODS: To understand how the microbiota impacts the development of gestational diabetes mellitus, we profiled the intestinal microbiome of 54 pregnant women, including 27 GDM subjects, by employing 16S rRNA gene sequencing. Additionally, we conducted targeted metabolomics assays to validate the identified pathways with overrepresented metabolites.RESULTS: We evaluated the patterns of changing abundances of operational taxonomic units (OTU) between GDM and the healthy counterparts over three timepoints. Based on the significant OTUs, we inferred 132 significantly altered metabolic pathways in GDM. And identified two overrepresented metabolites of pregnancy hormone, butyrate and mevalonate, as potential intermediary metabolites of intestinal microbiota in GDM. Finally, we validated the impacts of the intestinal microbiota on GDM by demonstrating consistent changes of the serum levels of progesterone, estradiol, butyrate, and mevalonate in an independent cohort.DISCUSSION: Our findings confirm that alterations in the microbiota play a role in the development of GDM by impacting the metabolism of pregnancy hormones. This provides a novel perspective on the pathogenesis of GDM and introduces potential biomarkers that can be used for early diagnosis and prevention of the disease.PMID:37492251 | PMC:PMC10364628 | DOI:10.3389/fmicb.2023.1175065

Formyl peptide receptor-1 (FPR1) represses intestinal oncogenesis

Wed, 26/07/2023 - 12:00
Oncoimmunology. 2023 Jul 21;12(1):2237354. doi: 10.1080/2162402X.2023.2237354. eCollection 2023.ABSTRACTFormyl peptide receptor-1 (FPR1) is a pattern recognition receptor that is mostly expressed by myeloid cells. In patients with colorectal cancer (CRC), a loss-of-function polymorphism (rs867228) in the gene coding for FPR1 has been associated with reduced responses to chemotherapy or chemoradiotherapy. Moreover, rs867228 is associated with accelerated esophageal and colorectal carcinogenesis. Here, we show that dendritic cells from Fpr1-/- mice exhibit reduced migration in response to chemotherapy-treated CRC cells. Moreover, Fpr1-/- mice are particularly susceptible to chronic ulcerative colitis and colorectal oncogenesis induced by the mutagen azoxymethane followed by oral dextran sodium sulfate, a detergent that induces colitis. These experiments were performed after initial co-housing of Fpr1-/- mice and wild-type controls, precluding major Fpr1-driven differences in the microbiota. Pharmacological inhibition of Fpr1 by cyclosporin H also tended to increase intestinal oncogenesis in mice bearing the ApcMin mutation, and this effect was reversed by the anti-inflammatory drug sulindac. We conclude that defective FPR1 signaling favors intestinal tumorigenesis through the modulation of the innate inflammatory/immune response.PMID:37492227 | PMC:PMC10364666 | DOI:10.1080/2162402X.2023.2237354

Metabolism of parathyroid organoids

Wed, 26/07/2023 - 12:00
Front Endocrinol (Lausanne). 2023 Jul 10;14:1223312. doi: 10.3389/fendo.2023.1223312. eCollection 2023.ABSTRACTINTRODUCTION: We successfully developed a broad spectrum of patient-derived endocrine organoids (PDO) from benign and malignant neoplasms of thyroid, parathyroid, and adrenal glands. In this study, we employed functionally intact parathyroid PDOs from benign parathyroid tissues to study primary hyperparathyroidism (PHPT), a common endocrine metabolic disease. As proof of concept, we examined the utility of parathyroid PDOs for bioenergetic and metabolic screening and assessed whether parathyroid PDO metabolism recapitulated matched PHPT tissues.METHODS: Our study methods included a fine-needle aspiration (FNA)-based technique to establish parathyroid PDOs from human PHPT tissues (n=6) in semi-solid culture conditions for organoid formation, growth, and proliferation. Mass spectrometry metabolomic analysis of PHPT tissues and patient-matched PDOs, and live cell bioenergetic profiling of parathyroid PDOs with extracellular flux analyses, were performed. Functional analysis cryopreserved and re-cultured parathyroid PDOs for parathyroid hormone (PTH) secretion was performed using ELISA hormone assays.RESULTS AND DISCUSSION: Our findings support both the feasibility of parathyroid PDOs for metabolic and bioenergetic profiling and reinforce metabolic recapitulation of PHPT tissues by patient-matched parathyroid PDOs. Cryopreserved parathyroid PDOs exhibited preserved, rapid, and sustained secretory function after thawing. In conclusion, successful utilization of parathyroid PDOs for metabolic profiling further affirms the feasibility of promising endocrine organoid platforms for future metabolic studies and broader multiplatform and translational applications for therapeutic advancements of parathyroid and other endocrine applications.PMID:37492197 | PMC:PMC10364603 | DOI:10.3389/fendo.2023.1223312

Advances in mass spectrometry technologies to characterize cervicovaginal microbiome functions that impact spontaneous preterm birth

Wed, 26/07/2023 - 12:00
Am J Reprod Immunol. 2023 Aug;90(2):e13750. doi: 10.1111/aji.13750.ABSTRACTPreterm birth (PTB) is a leading cause of morbidity and mortality in young children. Infection is a major cause of this adverse outcome, particularly in PTBs characterised by spontaneous rupture of membranes, referred to as spontaneous (s)PTB. However, the aetiology of sPTB is not well defined and specific bacteria associated with sPTB differ between studies and at the individual level. This may be due to many factors including a lack of understanding of strain-level differences in bacteria that influence how they function and interact with each other and the host. Metaproteomics and metabolomics are mass spectrometry-based methods that enable the collection of detailed microbial and host functional information. Technological advances in this field have dramatically increased the resolution of these approaches, enabling the simultaneous detection of thousands of proteins or metabolites. These data can be used for taxonomic analysis of vaginal bacteria and other microbes, to understand microbiome-host interactions, and identify diagnostic biomarkers or therapeutic targets. Although these methods have been used to assess host proteins and metabolites, few have characterized the microbial compartment in the context of pregnancy. The utilisation of metaproteomic and metabolomic-based approaches has the potential to vastly improve our understanding of the mechanisms leading to sPTB.PMID:37491925 | DOI:10.1111/aji.13750

Domestication-related changes in seed dispersal and pigmentation: visual selection and functional trait?

Wed, 26/07/2023 - 12:00
Mol Plant. 2023 Jul 24:S1674-2052(23)00209-5. doi: 10.1016/j.molp.2023.07.007. Online ahead of print.ABSTRACTThe development of agriculture is one of the most transformative changes in the history of humankind. Among the most common changes occurring during plant domestication are reductions in seed dispersal and changes in pigmentation. Although there are archaeological records of these processes, the advancement of genomics offers a tool to achieve greater insight into the process of converting wild plants into crops (Smýkal et al., 2018). This involved and resulted in a set of specific phenotypic changes referred to collectively as the domestication syndrome. Recently, less obvious domestication-related modifications have also been identified, including changes in plant biochemistry. These processes are often intertwined. For example, among visible changes, selection for visual appearance such as pigmentation is governed by modulation of specific metabolic pathways. Like genomic tools, the improvement of analytical methods provides the opportunity to reveal metabolomic changes involved in plant domestication.PMID:37491816 | DOI:10.1016/j.molp.2023.07.007

Serum metabolome profiling, network pharmacology analysis, and experimental validation of Anoectochilus roxburghii in the treatment of carbon tetrachloride-induced liver injury

Wed, 26/07/2023 - 12:00
Biomed Chromatogr. 2023 Jul 25:e5706. doi: 10.1002/bmc.5706. Online ahead of print.ABSTRACTAnoectochilus roxburghii (Wall.) Lindl. (AR) has been traditionally used to treat inflammatory diseases, but the specific mechanism underlying its hepatoprotective effect remains unclear. Here, serum metabolomics and network pharmacology were employed to investigate the hepatoprotective mechanism of AR. Thirty male Sprague-Dawley rats were divided into six groups: normal, model, positive, high-dose AR, middle-dose AR, and low-dose AR. The positive group received therapeutic doses of silibinin, whereas the AR-treated groups received different doses of AR extract once daily. After 10 days of intragastric administration, the rats were intraperitoneally injected with a 50% CCl4 olive oil solution (2 mL/kg) to induce liver injury. Serum and liver samples were obtained, and GC-MS was utilized to monitor changes in serum metabolome. The levels of alkaline phosphatase, aspartate aminotransferase, alanine aminotransferase, and hydrooxproline in serum significantly increased in the model group. On the contrary, AR-treated group showed a significant decrease in the levels of alkaline phosphatase, aspartate aminotransferase, alanine aminotransferase, and hydrooxproline. Histopathological observation also revealed that the extent of liver injury was alleviated in the AR-treated group. Fifty differential metabolites were identified, suggesting that AR may prevent liver damage by modulating carbohydrate and amino acid metabolism.PMID:37491783 | DOI:10.1002/bmc.5706

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