PubMed

37 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/30PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

37 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/30PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Plasma metabolites associated with exposure to perfluoroalkyl substances and risk of type 2 diabetes - A nested case-control study. Environ Int. 2020 Oct 25;146:106180 Authors: Schillemans T, Shi L, Donat-Vargas C, Hanhineva K, Tornevi A, Johansson I, Koponen J, Kiviranta H, Rolandsson O, Bergdahl IA, Landberg R, Åkesson A, Brunius C Abstract Perfluoroalkyl substances (PFAS) are widespread persistent environmental pollutants. There is evidence that PFAS induce metabolic perturbations in humans, but underlying mechanisms are still unknown. In this exploratory study, we investigated PFAS-related plasma metabolites for their associations with type 2 diabetes (T2D) to gain potential mechanistic insight in these perturbations. We used untargeted LC-MS metabolomics to find metabolites related to PFAS exposures in a case-control study on T2D (n = 187 matched pairs) nested within the Västerbotten Intervention Programme cohort. Following principal component analysis (PCA), six PFAS measured in plasma appeared in two groups: 1) perfluorononanoic acid, perfluorodecanoic acid and perfluoroundecanoic acid and 2) perfluorohexane sulfonic acid, perfluorooctane sulfonic acid and perfluorooctanoic acid. Using a random forest algorithm, we discovered metabolite features associated with individual PFAS and PFAS exposure groups which were subsequently investigated for associations with risk of T2D. PFAS levels correlated with 171 metabolite features (0.16 ≤ |r| ≤ 0.37, false discovery rate (FDR) adjusted p < 0.05). Out of these, 35 associated with T2D (p < 0.05), with 7 remaining after multiple testing adjustment (FDR < 0.05). PCA of the 35 PFAS- and T2D-related metabolite features revealed two patterns, dominated by glycerophospholipids and diacylglycerols, with opposite T2D associations. The glycerophospholipids correlated positively with PFAS and associated inversely with risk for T2D (Odds Ratio (OR) per 1 standard deviation (1-SD) increase in metabolite PCA pattern score = 0.2; 95% Confidence Interval (CI) = 0.1-0.4). The diacylglycerols also correlated positively with PFAS, but they associated with increased risk for T2D (OR per 1-SD = 1.9; 95% CI = 1.3-2.7). These results suggest that PFAS associate with two groups of lipid species with opposite relations to T2D risk. PMID: 33113464 [PubMed - as supplied by publisher]

Isoflurane anesthesia disrupts the cortical metabolome. J Neurophysiol. 2020 Oct 28;: Authors: Baer AG, Bourdon AK, Price JM, Campagna SR, Jacobson DA, Baghdoyan HA, Lydic R Abstract Identifying similarities and differences in the brain metabolome during different states of consciousness has broad relevance for neuroscience and state-dependent autonomic function. This study focused on prefrontal cortex (PFC) as a brain region known to modulate states of consciousness. Anesthesia was used as a tool to eliminate wakefulness. Untargeted metabolomic analyses were performed on microdialysis samples obtained from mouse PFC during wakefulness and during isoflurane anesthesia. Analyses detected 2153 molecules, 91 of which could be identified. Analytes were grouped as detected during both wakefulness and anesthesia (n=61), and as unique to wakefulness (n=23) or anesthesia (n=7). Data were analyzed using univariate and multivariate approaches. Relative to wakefulness, during anesthesia there was a significant (q < 0.0001) four-fold change in 21 metabolites. During anesthesia 11 of these 21 molecules decreased and 10 increased. The Kyoto Encyclopedia of Genes and Genomes database was used to relate behavioral state specific changes in the metabolome to metabolic pathways. Relative to wakefulness, most of the amino acids and analogs measured were significantly decreased during isoflurane anesthesia. Nucleosides and analogs were significantly increased during anesthesia. Molecules associated with carbohydrate metabolism, maintenance of lipid membranes, and normal cell functions were significantly decreased during anesthesia. Significant state-specific changes also were discovered among molecules comprising lipids and fatty acids, monosaccharides, and organic acids. Considered together, these molecules regulate point to point transmission, volume conduction, and cellular metabolism. The results identify a novel ensemble of candidate molecules in PFC as putative modulators of wakefulness and the loss of wakefulness. PMID: 33112692 [PubMed - as supplied by publisher]

Drivers of and Obstacles to the Adoption of Toxicogenomics for Chemical Risk Assessment: Insights from Social Science Perspectives. Environ Health Perspect. 2020 Oct;128(10):105002 Authors: Pain G, Hickey G, Mondou M, Crump D, Hecker M, Basu N, Maguire S Abstract BACKGROUND: Some 20 y ago, scientific and regulatory communities identified the potential of omics sciences (genomics, transcriptomics, proteomics, metabolomics) to improve chemical risk assessment through development of toxicogenomics. Recognizing that regulators adopt new scientific methods cautiously given accountability to diverse stakeholders, the scope and pace of adoption of toxicogenomics tools and data have nonetheless not met the ambitious, early expectations of omics proponents. OBJECTIVE: Our objective was, therefore, to inventory, investigate, and derive insights into drivers of and obstacles to adoption of toxicogenomics in chemical risk assessment. By invoking established social science frameworks conceptualizing innovation adoption, we also aimed to develop recommendations for proponents of toxicogenomics and other new approach methodologies (NAMs). METHODS: We report findings from an analysis of 56 scientific and regulatory publications from 1998 through 2017 that address the adoption of toxicogenomics for chemical risk assessment. From this purposeful sample of toxicogenomics discourse, we identified major categories of drivers of and obstacles to adoption of toxicogenomics tools and data sets. We then mapped these categories onto social science frameworks for conceptualizing innovation adoption to generate actionable insights for proponents of toxicogenomics. DISCUSSION: We identify the most salient drivers and obstacles. From 1998 through 2017, adoption of toxicogenomics was understood to be helped by drivers such as those we labeled Superior scientific understanding, New applications, and Reduced cost & increased efficiency but hindered by obstacles such as those we labeled Insufficient validation, Complexity of interpretation, and Lack of standardization. Leveraging social science frameworks, we find that arguments for adoption that draw on the most salient drivers, which emphasize superior and novel functionality of omics as rationales, overlook potential adopters' key concerns: simplicity of use and compatibility with existing practices. We also identify two perspectives-innovation-centric and adopter-centric-on omics adoption and explain how overreliance on the former may be undermining efforts to promote toxicogenomics. https://doi.org/10.1289/EHP6500. PMID: 33112659 [PubMed - as supplied by publisher]

Toxic Effects of Fine Plant Powder Impregnated With Avermectins on Mosquito Larvae and Nontarget Aquatic Invertebrates. J Med Entomol. 2020 Oct 28;: Authors: Belevich O, Yurchenko Y, Alekseev A, Kotina O, Odeyanko V, Tsentalovich Y, Yanshole L, Kryukov V, Danilov V, Glupov V Abstract The toxic effects of an avermectin-impregnated fine plant powder (AIFP) against larval Aedes aegypti L. (Diptera: Culicidae), Culex modestus Ficalbi (Diptera: Culicidae), and Anopheles messeae Falleroni (Diptera: Culicidae), as well as selected nontarget aquatic invertebrates, were studied under laboratory conditions. The possibility of trophic transfer of avermectins (AVMs) through the food chain and their toxic effects on predaceous species fed AIFP-treated mosquito larvae was also evaluated. Among mosquitoes, Anopheles messeae were the most sensitive to AIFP, while Cx. modestus exhibited the least sensitivity to this formulation. Among nontarget aquatic invertebrates, the greatest toxicity of AIFP was observed for benthic species (larval Chironomus sp. Meigen (Diptera: Chironomidae), whereas predators (dragonflies, water beetles, and water bugs) exhibited the lowest AIFP sensitivity. AIFP sensitivity of the clam shrimp Lynceus brachyurus O. F. Muller (Diplostraca: Lynceidae), the phantom midge Chaoborus crystallinus De Geer (Diptera: Chaoboridae), and the mayfly Caenis robusta Eaton (Ephemeroptera: Caenidae) was intermediate and similar to the sensitivity of the mosquito Cx. modestus. However, these nontarget species were more resistant than An. messeae and Ae. aegypti. Solid-phase extraction of mosquito larvae treated with AIFP and subsequent high-performance liquid chromatography (HPLC) analysis of the extracts revealed an AVM concentration of up to 2.1 ± 0.3 μg/g. Feeding the creeping water bug Ilyocoris cimicoides L. (Hemiptera: Naucoridae) on the AIFP-treated mosquito larvae resulted in 51% mortality of the predaceous species. But no toxicity was observed for Aeshna mixta Latreille (Odonata: Aeshnidae) dragonfly larvae fed those mosquito larvae. The results of this work showed that this AVM formulation can be effective against mosquito larvae. PMID: 33112404 [PubMed - as supplied by publisher]

Tetrahydroxy stilbene glycoside attenuates acetaminophen-induced hepatotoxicity by UHPLC-Q-TOF/MS-based metabolomics and multivariate data analysis. J Cell Physiol. 2020 Oct 28;: Authors: Gao Y, Li JT, Li X, Li X, Yang SW, Chen NH, Li L, Zhang L Abstract Tetrahydroxy stilbene glycoside (TSG) is a main active compound in Polygonum multiflorum. Acetaminophen (APAP) is a well-known analgesic and antipyretic drug. It is considered to be safe within a therapeutic range, in case of acute intoxication hepatotoxicity occurs. This present study aims to observe TSG-provided alleviation on APAP-induced hepatoxicity in C57BL/6 mice. APAP performs extensive necrosis and dissolves nucleus suggesting liver damage from hepatic histopathology. Serum alanine aminotransferase, aspartate aminotransferase, lactate dehydrogenase, and alkaline phosphatase analysis and liver histological evaluation showed that TSG reduced the hepatotoxicity induced by a toxic dose of APAP. Moreover, TSG alone had no hepatotoxicity. TSG eliminated hepatic glutathione depletion and cysteine adducts formation. It also reduced the expression of interleukin-10 and lowered the production of reactive oxygen species in liver tissues. Luminex was used to detect cytokine production in different groups. Herein, we used an untargeted metabolomics approach by performing ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry on treated mice to identify metabolic disruptions under APAP and TSG. Major alterations were observed for purine metabolism, amino acid metabolism, and fatty acid metabolism. These data provide metabolic evidence and biomarkers in the liver that the ABC transporters, Glycine serine and threonine metabolism, and Choline metabolism in cancer changed the most. These targets of metabolites have the potential to improve our understanding of homeostatic. Meanwhile, these metabolites revealed that TSG can alleviate inflammation caused by APAP and promote the activity of intrinsic antioxidants. In summary, TSG can regulate lipid metabolism, promote the production of antioxidant enzymes, and decrease the inflammatory response. PMID: 33111343 [PubMed - as supplied by publisher]

Serum Metabolomics for Biomarker Screening of Esophageal Squamous Cell Carcinoma and Esophageal Squamous Dysplasia Using Gas Chromatography-Mass Spectrometry. ACS Omega. 2020 Oct 20;5(41):26402-26412 Authors: Zhang S, Lu X, Hu C, Li Y, Yang H, Yan H, Fan J, Xu G, Abnet CC, Qiao Y Abstract BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the most common malignancies with poor diagnosis. Esophageal squamous dysplasia (ESD) is considered as an immediate precancerous lesion of ESCC. Lack of biomarkers for discriminating ESCC and ESD from healthy subjects limits the early diagnosis and treatment of ESCC. Therefore, a serum metabolomic strategy was conducted to identify and validate potential metabolic markers for the screening of ESCC and ESD subjects. METHODS: A total of 74 patients with ESCC, 72 patients with ESD, and 75 normal control (NC) subjects were enrolled in this study. Gas chromatography-mass spectrometry was used to acquire serum metabolic profiles. Pathway analysis was conducted to uncover the fluctuated metabolic pathways during ESCC. Multivariate analyses were used to screen and validate the biomarkers. RESULTS: ESCC, ESD, and NC subjects revealed progressively altered metabolic profiles, in which amino acids globally increased, while fatty acids decreased in ESCCs compared with the control groups. Pathway analysis demonstrated the activated biosynthesis of amino acids and inhibited desaturation of saturated fatty acids. The panel constructed with propanoic acid, linoleic acid, glycerol-3-phosphate, and l-glutamine showed the area under the curve (AUC), sensitivity, and specificity of 0.817, 0.75, and 0.74, respectively, in the discrimination of ESCC/ESD patients from NC subjects. The panel constructed by propanoic acid, l-leucine, and hydroxyproline revealed the AUC, sensitivity, and specificity of 0.819, 0.76, and 0.72, respectively, in the discrimination of ESD from NC subjects. The combination of hypoxanthine, 2-ketoisocaproic acid, l-glutamate, and l-aspartate showed the AUC, sensitivity, and specificity of 0.818, 0.83, and 0.74, respectively, in the discrimination of ESCC patients from ESD subjects. CONCLUSIONS: Our study revealed the systematic landscape for metabolic alterations in sera of ESD and ESCC patients. The defined metabolite markers showed reasonable performance in the discrimination of ESCC and ESD patients, and may provide helpful reference for clinicians and biologists. PMID: 33110968 [PubMed]

Related Articles Urine metabolomic phenotyping for detection of adrenocortical carcinoma: still a long way to go - Authors' reply. Lancet Diabetes Endocrinol. 2020 11;8(11):877-878 Authors: Bancos I, Taylor AE, Chortis V, Sitch AJ, Lang K, Prete A, Gilligan LC, Biehl M, Deeks JJ, Arlt W, ENSAT EURINE-ACT Investigators PMID: 33065058 [PubMed - indexed for MEDLINE]

Related Articles Urine metabolomic phenotyping for detection of adrenocortical carcinoma: still a long way to go. Lancet Diabetes Endocrinol. 2020 11;8(11):876-877 Authors: Anyfanti P, Nikolaidou B, Gkaliagkousi E PMID: 33065057 [PubMed - indexed for MEDLINE]

Related Articles DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res. 2020 09 18;48(16):8883-8900 Authors: Shaffer M, Borton MA, McGivern BB, Zayed AA, La Rosa SL, Solden LM, Liu P, Narrowe AB, Rodríguez-Ramos J, Bolduc B, Gazitúa MC, Daly RA, Smith GJ, Vik DR, Pope PB, Sullivan MB, Roux S, Wrighton KC Abstract Microbial and viral communities transform the chemistry of Earth's ecosystems, yet the specific reactions catalyzed by these biological engines are hard to decode due to the absence of a scalable, metabolically resolved, annotation software. Here, we present DRAM (Distilled and Refined Annotation of Metabolism), a framework to translate the deluge of microbiome-based genomic information into a catalog of microbial traits. To demonstrate the applicability of DRAM across metabolically diverse genomes, we evaluated DRAM performance on a defined, in silico soil community and previously published human gut metagenomes. We show that DRAM accurately assigned microbial contributions to geochemical cycles and automated the partitioning of gut microbial carbohydrate metabolism at substrate levels. DRAM-v, the viral mode of DRAM, established rules to identify virally-encoded auxiliary metabolic genes (AMGs), resulting in the metabolic categorization of thousands of putative AMGs from soils and guts. Together DRAM and DRAM-v provide critical metabolic profiling capabilities that decipher mechanisms underpinning microbiome function. PMID: 32766782 [PubMed - indexed for MEDLINE]

Related Articles Gene regulatory network controlling carpel number variation in cucumber. Development. 2020 04 06;147(7): Authors: Che G, Gu R, Zhao J, Liu X, Song X, Zi H, Cheng Z, Shen J, Wang Z, Liu R, Yan L, Weng Y, Zhang X Abstract The WUSCHEL-CLAVATA3 pathway genes play an essential role in shoot apical meristem maintenance and floral organ development, and under intense selection during crop domestication. The carpel number is an important fruit trait that affects fruit shape, size and internal quality in cucumber, but the molecular mechanism remains elusive. Here, we found that CsCLV3 expression was negatively correlated with carpel number in cucumber cultivars. CsCLV3-RNAi led to increased number of petals and carpels, whereas overexpression of CsWUS resulted in more sepals, petals and carpels, suggesting that CsCLV3 and CsWUS function as a negative and a positive regulator for carpel number variation, respectively. Biochemical analyses indicated that CsWUS directly bound to the promoter of CsCLV3 and activated its expression. Overexpression of CsFUL1A , a FRUITFULL-like MADS-box gene, resulted in more petals and carpels. CsFUL1A can directly bind to the CsWUS promoter to stimulate its expression. Furthermore, we found that auxin participated in carpel number variation in cucumber through interaction of CsARF14 with CsWUS. Therefore, we have identified a gene regulatory pathway involving CsCLV3, CsWUS, CsFUL1A and CsARF14 in determining carpel number variation in an important vegetable crop - cucumber. PMID: 32165491 [PubMed - indexed for MEDLINE]

Related Articles Comparative analysis of obesity-related cardiometabolic and renal biomarkers in human plasma and serum. Sci Rep. 2019 10 28;9(1):15385 Authors: Rajan MR, Sotak M, Barrenäs F, Shen T, Borkowski K, Ashton NJ, Biörserud C, Lindahl TL, Ramström S, Schöll M, Lindahl P, Fiehn O, Newman JW, Perkins R, Wallenius V, Lange S, Börgeson E Abstract The search for biomarkers associated with obesity-related diseases is ongoing, but it is not clear whether plasma and serum can be used interchangeably in this process. Here we used high-throughput screening to analyze 358 proteins and 76 lipids, selected because of their relevance to obesity-associated diseases, in plasma and serum from age- and sex-matched lean and obese humans. Most of the proteins/lipids had similar concentrations in plasma and serum, but a subset showed significant differences. Notably, a key marker of cardiovascular disease PAI-1 showed a difference in concentration between the obese and lean groups only in plasma. Furthermore, some biomarkers showed poor correlations between plasma and serum, including PCSK9, an important regulator of cholesterol homeostasis. Collectively, our results show that the choice of biofluid may impact study outcome when screening for obesity-related biomarkers and we identify several markers where this will be the case. PMID: 31659186 [PubMed - indexed for MEDLINE]

Related Articles EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer. Sci Rep. 2019 10 21;9(1):15057 Authors: Roman-Canal B, Moiola CP, Gatius S, Bonnin S, Ruiz-Miró M, González E, Ojanguren A, Recuero JL, Gil-Moreno A, Falcón-Pérez JM, Ponomarenko J, Porcel JM, Matias-Guiu X, Colas E Abstract Lung cancer is the leading cause of cancer-related deaths among men and women in the world, accounting for the 25% of cancer mortality. Early diagnosis is an unmet clinical issue. In this work, we focused to develop a novel approach to identify highly sensitive and specific biomarkers by investigating the use of extracellular vesicles (EVs) isolated from the pleural lavage, a proximal fluid in lung cancer patients, as a source of potential biomarkers. We isolated EVs by ultracentrifuge method from 25 control pleural fluids and 21 pleural lavages from lung cancer patients. Analysis of the expression of EV-associated miRNAs was performed using Taqman OpenArray technology through which we could detect 288 out of the 754 miRNAs that were contained in the OpenArray. The differential expression analysis yielded a list of 14 miRNAs that were significantly dysregulated (adj. p-value < 0.05 and logFC lower or higher than 3). Using Machine Learning approach we discovered the lung cancer diagnostic biomarkers; miRNA-1-3p, miRNA-144-5p and miRNA-150-5p were found to be the best by accuracy. Accordance with our finding, these miRNAs have been related to cancer processes in previous studies. This results opens the avenue to the use of EV-associated miRNA of pleural fluids and lavages as an untapped source of biomarkers, and specifically, identifies miRNA-1-3p, miRNA-144-5p and miRNA 150-5p as promising biomarkers of lung cancer diagnosis. PMID: 31636323 [PubMed - indexed for MEDLINE]

28 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/28PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

28 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/28PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

28 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/27PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Comparison of MS2, synchronous precursor selection MS3, and real-time search MS3 methodologies for lung proteomes of hydrogen sulfide treated swine. Anal Bioanal Chem. 2020 Oct 25;: Authors: Fu Q, Liu Z, Bhawal R, Anderson ET, Sherwood RW, Yang Y, Thannhauser T, Schroyen M, Tang X, Zhang H, Zhang S Abstract Tandem mass tags (TMTs) have increasingly become an attractive technique for global proteomics. However, its effectiveness for multiplexed quantitation by traditional tandem mass spectrometry (MS2) suffers from ratio distortion. Synchronous precursor selection (SPS) MS3 has been widely accepted for improved quantitation accuracy, but concurrently decreased proteome coverage. Recently, a Real-Time Search algorithm has been integrated with the SPS MS3 pipeline (RTS MS3) to provide accurate quantitation and improved depth of coverage. In this mechanistic study of the impact of exposure to hydrogen sulfide (H2S) on the respiration of swine, we used TMT-based comparative proteomics of lung tissues from control and H2S-treated subjects as a test case to evaluate traditional MS2, SPS MS3, and RTS MS3 acquisition methods on both the Orbitrap Fusion and Orbitrap Eclipse platforms. Comparison of the results obtained by the MS2 with those of SPS MS3 and RTS MS3 methods suggests that the MS3-driven quantitative strategies provided a more accurate global-scale quantitation; however, only RTS MS3 provided proteomic coverage that rivaled that of traditional MS2 analysis. RTS MS3 not only yields more productive MS3 spectra than SPS MS3 but also appears to focus the analysis more effectively on unique peptides. Furthermore, pathway enrichment analyses of the H2S-altered proteins demonstrated that an additional apoptosis pathway was discovered exclusively by RTS MS3. This finding was verified by RT-qPCR, western blotting, and TUNEL staining experiments. We conclude that RTS MS3 workflow enables simultaneous improvement of quantitative accuracy and proteome coverage over alternative approaches (MS2 and SPS MS3). Graphical abstract. PMID: 33099676 [PubMed - as supplied by publisher]

Vitreous metabolomics profiling of proliferative diabetic retinopathy. Diabetologia. 2020 Oct 25;: Authors: Tomita Y, Cagnone G, Fu Z, Cakir B, Kotoda Y, Asakage M, Wakabayashi Y, Hellström A, Joyal JS, Talukdar S, Smith LEH, Usui Y Abstract AIMS/HYPOTHESIS: Proliferative diabetic retinopathy (PDR) with retinal neovascularisation (NV) is a leading cause of vision loss. This study identified a set of metabolites that were altered in the vitreous humour of PDR patients compared with non-diabetic control participants. We corroborated changes in vitreous metabolites identified in prior studies and identified novel dysregulated metabolites that may lead to treatment strategies for PDR. METHODS: We analysed metabolites in vitreous samples from 43 PDR patients and 21 non-diabetic epiretinal membrane control patients from Japan (age 27-80 years) via ultra-high-performance liquid chromatography-mass spectrometry. We then investigated the association of a novel metabolite (creatine) with retinal NV in mouse oxygen-induced retinopathy (OIR). Creatine or vehicle was administered from postnatal day (P)12 to P16 (during induced NV) via oral gavage. P17 retinas were quantified for NV and vaso-obliteration. RESULTS: We identified 158 metabolites in vitreous samples that were altered in PDR patients vs control participants. We corroborated increases in pyruvate, lactate, proline and allantoin in PDR, which were identified in prior studies. We also found changes in metabolites not previously identified, including creatine. In human vitreous humour, creatine levels were decreased in PDR patients compared with epiretinal membrane control participants (false-discovery rate <0.001). We validated that lower creatine levels were associated with vascular proliferation in mouse retina in the OIR model (p = 0.027) using retinal metabolomics. Oral creatine supplementation reduced NV compared with vehicle (P12 to P16) in OIR (p = 0.0024). CONCLUSIONS/INTERPRETATION: These results suggest that metabolites from vitreous humour may reflect changes in metabolism that can be used to find pathways influencing retinopathy. Creatine supplementation could be useful to suppress NV in PDR. Graphical abstract. PMID: 33099660 [PubMed - as supplied by publisher]

Serum Spermidine as a Novel Potential Predictor for Fragility Fractures. J Clin Endocrinol Metab. 2020 Oct 25;: Authors: Kong SH, Kim JH, Shin CS Abstract CONTEXT: Metabolomics is an emerging tool that provides insights into the dynamics of phenotypic changes. It is a potential method for the discovery of novel serum markers of fracture. OBJECTIVE: To identify metabolite parameters that can be used as a proxy for osteoporotic fracture risk. DESIGN: Prospective study based on the Ansung cohort in Korea. SETTING: The general community. PARTICIPANTS: 1,504 participants with metabolomic analyses. INTERVENTIONS: None. MAIN OUTCOME MEASURE: Fragility fractures. RESULTS: We measured 135 baseline metabolite profiles in fasting serum of the participants. The participants had a mean age of 60.2 years and comprised of 585 (38.9%) men. During a mean 9-year follow-up, 112 osteoporotic fracture events occurred. Of all metabolites measured, only serum spermidine concentrations were positively associated with the risk of fracture (hazard ratio [HR] per 1 μM of spermidine 1.35, 95% confidence interval [CI]= 1.03-1.65, p=0.020) after adjustments for age, sex, BMI, diabetes, hypertension, smoking status, previous fracture history, and baseline tibial quantitative ultrasound. Participants with spermidine concentrations >1.57 μM had a 2.2-fold higher risk of fractures (95% CI 1.08-4.51, p=0.030) compared to those with concentrations ≤1.57 μM after adjustment. In a subgroup analysis, women with baseline spermidine concentrations >1.57 μM also had a 2.4-fold higher risk of fracture than those with concentrations ≤1.57 μM (95% CI 1.02-5.48, p=0.047). CONCLUSIONS: Increased baseline spermidine concentrations were associated with a risk of osteoporotic fracture during a mean 9-year follow-up. The biological significance of the metabolites in the musculoskeletal system could be a subject for future studies. PMID: 33099626 [PubMed - as supplied by publisher]