A reference map of sphingolipids in murine tissues DOI Creative Commons
Sneha Muralidharan, Mitsugu Shimobayashi,

Shanshan Ji

и другие.

Cell Reports, Год журнала: 2021, Номер 35(11), С. 109250 - 109250

Опубликована: Июнь 1, 2021

Sphingolipids (SPs) have both a structural role in the cell membranes and signaling function that regulates many cellular processes. The enormous diversity low abundance of SPs pose challenge for their identification quantification. Recent advances lipidomics, particular liquid chromatography (LC) coupled with mass spectrometry (MS), provide methods to detect quantify low-abundant SP species reliably. Here we use LC-MS compile "murine sphingolipid atlas," containing qualitative quantitative distribution 114 21 tissues widely utilized wild-type laboratory mouse strain (C57BL/6). We report tissue-specific fingerprints, as well sex-specific differences same tissue. This is comprehensive, sphingolipidomic map mammalian collected systematic fashion. It will complement other tissue compendia interrogation into health disease.

Язык: Английский

Immunometabolic signatures predict risk of progression to sepsis in COVID-19 DOI Creative Commons
Ana Sofía Herrera-Van Oostdam, Julio Enrique Castañeda‐Delgado, Juan José Oropeza-Valdez

и другие.

PLoS ONE, Год журнала: 2021, Номер 16(8), С. e0256784 - e0256784

Опубликована: Авг. 30, 2021

Viral sepsis has been proposed as an accurate term to describe all multisystemic dysregulations and clinical findings in severe critically ill COVID-19 patients. The adoption of this may help the implementation more strategies early diagnosis, prognosis, in-hospital treatment. We accurately quantified 110 metabolites using targeted metabolomics, 13 cytokines/chemokines plasma samples 121 patients with different levels severity, 37 non-COVID-19 individuals. Analyses revealed integrated host-dependent dysregulation inflammatory cytokines, neutrophil activation chemokines, glycolysis, mitochondrial metabolism, amino acid polyamine synthesis, lipid metabolism typical processes distinctive a mild disease. Dysregulated showed differential correlation patterns patients, indicating crosstalk between hyperinflammation. Using multivariate analysis, powerful models for diagnosis prognosis induced were generated, well mortality prediction among septic A metabolite panel made kynurenine/tryptophan ratio, IL-6, LysoPC C18:2, phenylalanine discriminated from area under curve (AUC (95%CI)) 0.991 (0.986-0.995), sensitivity 0.978 (0.963-0.992) specificity 0.920 (0.890-0.949). that included C10:2, NLR, C5 AUC (95%CI) 0.965 (0.952-0.977), 0.993(0.984-1.000) 0.851 (0.815-0.887). citric acid, C28:1, neutrophil-lymphocyte ratio (NLR) 0.829 (0.800-0.858), 0.738 (0.695-0.781) 0.781 (0.735-0.827). Septic who survived those did not survive model consisting hippuric along presence Type II diabetes, 0.831 (0.788-0.874), 0.765 (0.697-0.832) 0.817 (0.770-0.865).

Язык: Английский

Процитировано

41
Multivariate analysis of NMR‐based metabolomic data DOI
Julia Debik, Matteo Sangermani, Feng Wang

и другие.

NMR in Biomedicine, Год журнала: 2021, Номер 35(2)

Опубликована: Ноя. 5, 2021

Nuclear magnetic resonance (NMR) spectroscopy allows for simultaneous detection of a wide range metabolites and lipids. As act together in complex metabolic networks, they are often highly correlated, optimal biological insight is achieved when using methods that take the correlation into account. For this reason, latent‐variable‐based methods, such as principal component analysis partial least‐squares discriminant analysis, widely used metabolomic studies. However, with increasing availability larger population cohorts, shift from spectral data to quantified metabolite levels, both more traditional statistical approaches alternative machine learning have become used. This review aims at providing an overview current state‐of‐the‐art multivariate NMR‐based well highlighting their strengths limitations.

Язык: Английский

Процитировано

39
Metabolic effect of drought stress on the leaves of young oil palm (Elaeis guineensis) plants using UHPLC–MS and multivariate analysis DOI Creative Commons
Jorge Cândido Rodrigues Neto, Letícia Rios Vieira, José Antônio de Aquino Ribeiro

и другие.

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Сен. 14, 2021

The expansion of the oil palm in marginal areas can face challenges, such as water deficit, leading to an impact on production. A better understanding biological consequences abiotic stresses this crop result from joint metabolic profiling and multivariate analysis. Metabolic leaves was performed control stressed plants (7 14 days stress). Samples were extracted analyzed a UHPLC-ESI-Q-TOF-HRMS system. Acquired data processed using XCMS Online MetaboAnalyst for pathway activity Metabolism affected by drought stress through clear segregation between groups. More importantly, metabolism changed time, gradually 7 days. pathways most were: starch sucrose metabolism, glyoxylate dicarboxylate alanine, aspartate glutamate arginine proline glycine, serine threonine metabolism. analysis profile efficient correlate differentiate groups submitted different levels stress. Putative compounds their be used future multiomics

Язык: Английский

Процитировано

34
When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective DOI Creative Commons
Zhiqiang Zhang, Chaohui Bao, Jiang Lu

и другие.

Frontiers in Oncology, Год журнала: 2023, Номер 12

Опубликована: Янв. 6, 2023

Resistance to drug treatment is a critical barrier in cancer therapy. There an unmet need explore hallmarks that can be targeted overcome this resistance for therapeutic gain. Over time, metabolic reprogramming has been recognised as one hallmark used prevent resistance. With the advent of metabolomics, targeting alterations cells and host patients represents emerging strategy overcoming Driven by technological methodological advances mass spectrometry imaging, spatial metabolomics involves profiling all metabolites (metabolomics) so information captured bona fide within sample. Spatial offers opportunity demonstrate drug-resistant tumor profile with heterogeneity, also poses data-mining challenge reveal meaningful insights from high-dimensional information. In review, we discuss latest progress, focus on currently available bulk, single-cell technologies their successful applications pre-clinical translational studies We provide summary mechanisms underlying different aspects; these include Warburg effect, altered amino acid/lipid/drug metabolism, generation stem cells, immunosuppressive metabolism. Furthermore, propose solutions describing how resistance; early detection during initiation, monitoring clinical response, novel anticancer target immunotherapy, emergence metabolomics. conclude perspectives omics approaches (integrating metabolomics) could further developed improve management patients.

Язык: Английский

Процитировано

14
A reference map of sphingolipids in murine tissues DOI Creative Commons
Sneha Muralidharan, Mitsugu Shimobayashi,

Shanshan Ji

и другие.

Cell Reports, Год журнала: 2021, Номер 35(11), С. 109250 - 109250

Опубликована: Июнь 1, 2021

Sphingolipids (SPs) have both a structural role in the cell membranes and signaling function that regulates many cellular processes. The enormous diversity low abundance of SPs pose challenge for their identification quantification. Recent advances lipidomics, particular liquid chromatography (LC) coupled with mass spectrometry (MS), provide methods to detect quantify low-abundant SP species reliably. Here we use LC-MS compile "murine sphingolipid atlas," containing qualitative quantitative distribution 114 21 tissues widely utilized wild-type laboratory mouse strain (C57BL/6). We report tissue-specific fingerprints, as well sex-specific differences same tissue. This is comprehensive, sphingolipidomic map mammalian collected systematic fashion. It will complement other tissue compendia interrogation into health disease.

Язык: Английский

Процитировано

33