PubMed

Acta Neuropathol Commun. 2023 Jan 18;11(1):15. doi: 10.1186/s40478-022-01473-x.ABSTRACTDysferlin is a Ca2+-activated lipid binding protein implicated in muscle membrane repair. Recessive variants in DYSF result in dysferlinopathy, a progressive muscular dystrophy. We showed previously that calpain cleavage within a motif encoded by alternatively spliced exon 40a releases a 72 kDa C-terminal minidysferlin recruited to injured sarcolemma. Herein we use CRISPR/Cas9 gene editing to knock out murine Dysf exon 40a, to specifically assess its role in membrane repair and development of dysferlinopathy. We created three Dysf exon 40a knockout (40aKO) mouse lines that each express different levels of dysferlin protein ranging from ~ 90%, ~ 50% and ~ 10-20% levels of wild-type. Histopathological analysis of skeletal muscles from all 12-month-old 40aKO lines showed virtual absence of dystrophic features and normal membrane repair capacity for all three 40aKO lines, as compared with dysferlin-null BLAJ mice. Further, lipidomic and proteomic analyses on 18wk old quadriceps show all three 40aKO lines are spared the profound lipidomic/proteomic imbalance that characterises dysferlin-deficient BLAJ muscles. Collective results indicate that membrane repair does not depend upon calpain cleavage within exon 40a and that ~ 10-20% of WT dysferlin protein expression is sufficient to maintain the muscle lipidome, proteome and membrane repair capacity to crucially prevent development of dysferlinopathy.PMID:36653852 | DOI:10.1186/s40478-022-01473-x

BMC Med. 2023 Jan 18;21(1):23. doi: 10.1186/s12916-022-02711-8.ABSTRACTBACKGROUND: Common pregnancy and perinatal complications are associated with offspring cardiometabolic risk factors. These complications may influence multiple metabolic traits in the offspring and these associations might differ with offspring age.METHODS: We used data from eight population-based cohort studies to examine and compare associations of pre-eclampsia (PE), gestational hypertension (GH), gestational diabetes (GD), preterm birth (PTB), small (SGA) and large (LGA) for gestational age (vs. appropriate size for gestational age (AGA)) with up to 167 plasma/serum-based nuclear magnetic resonance-derived metabolic traits encompassing lipids, lipoproteins, fatty acids, amino acids, ketones, glycerides/phospholipids, glycolysis, fluid balance, and inflammation. Confounder-adjusted regression models were used to examine associations (adjusted for maternal education, parity age at pregnancy, ethnicity, pre/early pregnancy body mass index and smoking, and offspring sex and age at metabolic trait assessment), and results were combined using meta-analysis by five age categories representing different periods of the offspring life course: neonates (cord blood), infancy (mean ages: 1.1-1.6 years), childhood (4.2-7.5 years); adolescence (12.0-16.0 years), and adulthood (22.0-67.8 years).RESULTS: Offspring numbers for each age category/analysis varied from 8925 adults (441 PTB) to 1181 infants (135 GD); 48.4% to 60.0% were females. Pregnancy complications (PE, GH, GD) were each associated with up to three metabolic traits in neonates (P≤0.001) with some evidence of persistence to older ages. PTB and SGA were associated with 32 and 12 metabolic traits in neonates respectively, which included an adjusted standardised mean difference of -0.89 standard deviation (SD) units for albumin with PTB (95% CI: -1.10 to -0.69, P=1.3×10-17) and -0.41 SD for total lipids in medium HDL with SGA (95% CI: -0.56 to -0.25, P=2.6×10-7), with some evidence of persistence to older ages. LGA was inversely associated with 19 metabolic traits including lower levels of cholesterol, lipoproteins, fatty acids, and amino acids, with associations emerging in adolescence, (e.g. -0.11 SD total fatty acids, 95% CI: -0.18 to -0.05, P=0.0009), and attenuating with older age across adulthood.CONCLUSIONS: These reassuring findings suggest little evidence of wide-spread and long-term impact of common pregnancy and perinatal complications on offspring metabolic traits, with most associations only observed for newborns rather than older ages, and for perinatal rather than pregnancy complications.PMID:36653824 | DOI:10.1186/s12916-022-02711-8

BMC Plant Biol. 2023 Jan 18;23(1):41. doi: 10.1186/s12870-023-04059-4.ABSTRACTBACKGROUND: Heterosis, or hybrid vigor, refers to the phenotypic superiority of an F1 hybrid relative to its parents in terms of growth rate, biomass production, grain yield, and stress tolerance. Light is an energy source and main environmental cue with marked impacts on heterosis in plants. Research into the production applications and mechanism of heterosis has been conducted for over a century and a half, but little is known about the effect of light on plant heterosis.RESULTS: In this study, an integrated transcriptome and metabolome analysis was performed using maize (Zea mays L.) inbred parents, B73 and Mo17, and their hybrids, B73 × Mo17 (BM) and Mo17 × B73 (MB), grown in darkness or under far-red, red, or blue light. Most differentially expressed genes (73.72-92.50%) and differentially accumulated metabolites (84.74-94.32%) exhibited non-additive effects in BM and MB hybrids. Gene Ontology analysis revealed that differential genes and metabolites were involved in glutathione transfer, carbohydrate transport, terpenoid biosynthesis, and photosynthesis. The darkness, far-red, red, and blue light treatments were all associated with phenylpropanoid-flavonoid biosynthesis by Weighted Gene Co-expression Network Analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. Five genes and seven metabolites related to phenylpropanoid-flavonoid biosynthesis pathway were identified as potential contributors to the interactions between maize heterosis and light conditions. Consistent with the strong mid-parent heterosis observed for metabolites, significant increases in both fresh and dry weights were found in the MB and BM hybrids compared with their inbred parents. Unexpectedly, increasing light intensity resulted in higher biomass heterosis in MB, but lower biomass heterosis in BM.CONCLUSIONS: The transcriptomic and metabolomic results provide unique insights into the effects of light quality on gene expression patterns and genotype-environment interactions, and have implications for gene mining of heterotic loci to improve maize production.PMID:36653749 | DOI:10.1186/s12870-023-04059-4

Mol Psychiatry. 2023 Jan 19. doi: 10.1038/s41380-023-01948-w. Online ahead of print.ABSTRACTDyslipidemia has been associated with depression, but individual lipid species associated with depression remain largely unknown. The temporal relationship between lipid metabolism and the development of depression also remains to be determined. We studied 3721 fasting plasma samples from 1978 American Indians attending two exams (2001-2003, 2006-2009, mean ~5.5 years apart) in the Strong Heart Family Study. Plasma lipids were repeatedly measured by untargeted liquid chromatography-mass spectrometry (LC-MS). Depressive symptoms were assessed using the 20-item Center for Epidemiologic Studies for Depression (CES-D). Participants at risk for depression were defined as total CES-D score ≥16. Generalized estimating equation (GEE) was used to examine the associations of lipid species with incident or prevalent depression, adjusting for covariates. The associations between changes in lipids and changes in depressive symptoms were additionally adjusted for baseline lipids. We found that lower levels of sphingomyelins and glycerophospholipids and higher level of lysophospholipids were significantly associated with incident and/or prevalent depression. Changes in sphingomyelins, glycerophospholipids, acylcarnitines, fatty acids and triacylglycerols were associated with changes in depressive symptoms and other psychosomatic traits. We also identified differential lipid networks associated with risk of depression. The observed alterations in lipid metabolism may affect depression through increasing the activities of acid sphingomyelinase and phospholipase A2, disturbing neurotransmitters and membrane signaling, enhancing inflammation, oxidative stress, and lipid peroxidation, and/or affecting energy storage in lipid droplets or membrane formation. These findings illuminate the mechanisms through which dyslipidemia may contribute to depression and provide initial evidence for targeting lipid metabolism in developing preventive and therapeutic interventions for depression.PMID:36653676 | DOI:10.1038/s41380-023-01948-w

Methods Mol Biol. 2023;2625:353-364. doi: 10.1007/978-1-0716-2966-6_30.ABSTRACTMembrane order is a biophysical characteristic dependent on cellular lipid makeup. Cells regulate the membrane structure as it affects membrane-bound protein activity levels and membrane stability. Spatial organization of membrane lipids, such as lipid rafts, is a proposed theory that has been indirectly measured through polarity-sensitive fluorescent dyes. C-Laurdan is one such dye that penetrates plasma and internal membranes. C-Laurdan is excited by a single 405 nm photon and emits in two distinct ranges depending on membrane order. Herein, we present a protocol for staining HEK293t cells with C-Laurdan and acquiring ratiometric images using a revised ImageJ macro and confocal microscopy. An example figure is provided depicting the effects of methyl-β-cyclodextrin, known to remove lipid rafts through cholesterol sequestration, on HEK293t cells. Further image analysis can be performed through region of interest (ROI) selection tools.PMID:36653657 | DOI:10.1007/978-1-0716-2966-6_30

Methods Mol Biol. 2023;2625:313-321. doi: 10.1007/978-1-0716-2966-6_26.ABSTRACTAdvances in computational and data processing technology have enabled the development of many novel tools for analyzing metabolomic and lipidomic data. These advances involved the catalyst for the creation of publicly accessible complex web-based databases such as the Metabolomics Workbench. Open Source internet-based software packages such as MetaboAnalyst 5.0 enable researchers to perform a wide range of analyte identification and statistical analyses of their own and other researchers' data in order to identify biomarkers and classify compounds. In this paper, we set forth a protocol for obtaining experimental data of interest from a public data repository (Metabolomics Workbench), converting the data into a format suitable for submission to MetaboAnalyst 5.0, and then uploading the data to the MetaboAnalyst server for identification and statistical analysis.PMID:36653653 | DOI:10.1007/978-1-0716-2966-6_26

Methods Mol Biol. 2023;2625:291-298. doi: 10.1007/978-1-0716-2966-6_24.ABSTRACTLipids are among the major constituents of cells and play many important cellular functions. Lipid levels in the trabecular meshwork (TM) aqueous humor outflow pathway play an important role in the maintenance of aqueous humor drainage and intraocular pressure (IOP) homeostasis. Therefore, it is important to characterize the changes in the lipid contents in the aqueous humor outflow pathway tissues to better understand their functional significance in the maintenance of IOP. The multiple reaction monitoring (MRM)-based profiling aids in the analysis of the metabolome as a collection of functional groups and is utilized as an exploratory metabolomics and lipidomics approach. The MRM-based profiling utilizes tandem mass spectrometry experiments carried out on a commercial triple quadrupole mass spectrometer with three aligned quadrupole mass filters (Q1, Q2, and Q3). This screening methodology can be utilized for targeted lipidomics screening. This chapter focuses on the methodology for isolation and culturing of the TM cells, lipid extraction, and the MRM-based lipidomics approach with data analysis.PMID:36653651 | DOI:10.1007/978-1-0716-2966-6_24

Methods Mol Biol. 2023;2625:201-216. doi: 10.1007/978-1-0716-2966-6_18.ABSTRACTOuter membrane vesicles (OMVs), also called as bacterial membrane vesicles (BMVs), are secreted by many Gram-negative bacterial pathogens. These nanoscale vesicles traffic discrete arrays of virulence factors that can often induce complex pathologies far from the infection sites. The OMVs of P. aeruginosa, often regarded as the gold standard of BMVs are known to traffic a battery of specific small MW alkyl-quinolones (AQs). These AQs function like primordial hormones by modulating intra-species and inter-species bacterial interactions. They can also perform cross-kingdom signaling with the human host and directly exacerbate pathogenesis. The discrete isotopic signatures of AQs enjoy potential in the mass spectrometry-based diagnosis P. aeruginosa infections. Matrix-free laser desorption/ionization mass spectrometry (LDI-MS) presents a robust, cost-effective platform to fit this demand. We describe a LDI-MS system using inert ceramic filters that performs dual role of single-step enrichment of OMVs and matrix-free ionization/identification of AQs in situ.PMID:36653645 | DOI:10.1007/978-1-0716-2966-6_18

Methods Mol Biol. 2023;2625:149-161. doi: 10.1007/978-1-0716-2966-6_14.ABSTRACTImaging mass spectrometry (IMS) allows for spatial visualization of proteins, lipids, and metabolite distributions in a tissue. Identifying these compounds through mass spectrometry, combined with mapping the compound distribution in the sample in a targeted or untargeted approach, renders IMS a powerful tool for lipidomics. IMS analysis for lipid species such as phosphatidylcholine and phosphatidylserine allows researchers to pinpoint areas of lipid deficiencies or accumulations associated with ocular disorders such as age-related macular degeneration and diabetic retinopathy. Here, we describe an end-to-end IMS approach from sample preparation to data analysis for phosphatidylcholine and phosphatidylserine analysis.PMID:36653641 | DOI:10.1007/978-1-0716-2966-6_14

Methods Mol Biol. 2023;2625:141-148. doi: 10.1007/978-1-0716-2966-6_13.ABSTRACTAn optimized Bligh and Dyer protocol and subsequent derivatization is described in this chapter for the extraction of free cholesterol and cholesterol esters from tissue samples. Quantification analysis of lipid species is then described utilizing gas chromatography-mass spectrometry, the ideal method for analysis of volatile organic compounds and extraction of sterols.PMID:36653640 | DOI:10.1007/978-1-0716-2966-6_13

Methods Mol Biol. 2023;2625:103-106. doi: 10.1007/978-1-0716-2966-6_9.ABSTRACTLipids serve an essential role in multiple cellular functions including signaling, metabolism, energy storage, and membrane constitution. Lipidomics, the study of lipids using analytical chemistry, allows for the study of disease states and cellular metabolism. Shotgun lipidomics is a technique that involves direct-infusion electrospray ionization (ESI) and analysis with a triple quadrupole mass spectrometer. Triple quadrupole mass spectrometry is ideally suited for lipidomics analysis because it allows for class-specific identification of lipids. Individual lipid class can be identified by the adjustment of three parameters-collision energy, ion mode, and scan type. This chapter describes the use of a triple quadrupole mass spectrometer, the TSQ Quantum Access MAX, to perform lipidomics analysis with high sensitivity, accuracy, and precision.PMID:36653636 | DOI:10.1007/978-1-0716-2966-6_9

Methods Mol Biol. 2023;2625:79-88. doi: 10.1007/978-1-0716-2966-6_7.ABSTRACTPhospholipids are essential components of membrane lipid bilayers and serve as precursors of multiple signaling molecules, so alterations in their homeostasis are associated with the pathogenesis of numerous diseases. In this context, the application of mass spectrometry-based metabolomics has demonstrated great potential to comprehensively characterize the human phospholipidome. In this chapter, we describe an untargeted method for the determination of phospholipids and other related metabolites in a variety of biological matrices, including plasma/serum, erythrocytes, and tissues, based on the combination of high-throughput direct mass spectrometry fingerprinting and subsequent profiling by ultra-high-performance reversed-phase liquid chromatography coupled to mass spectrometry. Furthermore, we also review the characteristic fragmentation patterns of phospholipids with the aim of providing simple guidelines for their straightforward annotation.PMID:36653634 | DOI:10.1007/978-1-0716-2966-6_7

Methods Mol Biol. 2023;2625:65-69. doi: 10.1007/978-1-0716-2966-6_5.ABSTRACTThis chapter focuses on identifying gangliosides in the optic nerve of the mouse using mass spectrometry techniques. The described protocol will also permit the characterization of the sample's lipidome. Two deuterium-labeled ganglioside standards and a general lipid class standard will be utilized for extraction efficiency and quantification. Using reversed-phase high-performance liquid chromatography (HPLC) coupled to a Q Exactive mass spectrometer, the samples will be analyzed. The method will consist of both an untargeted approach and a targeted approach with a ganglioside-specific inclusion list.PMID:36653632 | DOI:10.1007/978-1-0716-2966-6_5

Methods Mol Biol. 2023;2625:57-63. doi: 10.1007/978-1-0716-2966-6_4.ABSTRACTLiquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is a powerful tool for identification and classification of lipids. Ultra-high performance liquid chromatography (UHPLC) allows for robust separations of complex mixtures, while high-resolution mass spectrometry (HRMS) identifies compounds with efficiency and accuracy (Zullig T and Kofeler HC, Mass Spectrom Rev 40:162-176, 2021). The high specificity and sensitivity of mass spectrometry makes it the method of choice when analyzing lipids (Kofeler HC, J Lipid Res 62:100138, 2021). Untargeted mass spectrometry identifies all lipids within a sample and is useful for identification and further discovery. This chapter describes the use of a Q Exactive mass spectrometer to perform an untargeted LC-MS/MS lipidomics analysis.PMID:36653631 | DOI:10.1007/978-1-0716-2966-6_4

Methods Mol Biol. 2023;2625:1-6. doi: 10.1007/978-1-0716-2966-6_1.ABSTRACTMitochondria participate in many important metabolic processes in the body. The lipid profile of mitochondria is especially important in membrane regulation and pathway signaling. The isolation and study of these lipids can provide unparalleled information about the mechanisms behind these cellular processes. In this chapter, we describe a protocol to isolate mitochondrial lipids from homogenized murine optic nerves. The lipid extraction was performed using butanol-methanol (BUME) and subsequently analyzed using liquid chromatography-mass spectrometry. Further analysis of the raw data was conducted using LipidSearch™ and MetaboAnalyst 4.0.PMID:36653628 | DOI:10.1007/978-1-0716-2966-6_1

Commun Biol. 2023 Jan 18;6(1):65. doi: 10.1038/s42003-023-04444-7.ABSTRACTHuman cancers often re-express germline factors, yet their mechanistic role in oncogenesis and cancer progression remains unknown. Here we demonstrate that DEAD-box helicase 4 (DDX4), a germline factor and RNA helicase conserved in all multicellular organisms, contributes to increased cell motility and cisplatin-mediated drug resistance in small cell lung cancer (SCLC) cells. Proteomic analysis suggests that DDX4 expression upregulates proteins related to DNA repair and immune/inflammatory response. Consistent with these trends in cell lines, DDX4 depletion compromised in vivo tumor development while its overexpression enhanced tumor growth even after cisplatin treatment in nude mice. Further, the relatively higher DDX4 expression in SCLC patients correlates with decreased survival and shows increased expression of immune/inflammatory response markers. Taken together, we propose that DDX4 increases SCLC cell survival, by increasing the DNA damage and immune response pathways, especially under challenging conditions such as cisplatin treatment.PMID:36653474 | DOI:10.1038/s42003-023-04444-7

Nat Commun. 2023 Jan 18;14(1):288. doi: 10.1038/s41467-023-35952-z.ABSTRACTDietary restriction (DR) delays aging and the onset of age-associated diseases. However, it is yet to be determined whether and how restriction of specific nutrients promote longevity. Previous genome-wide screens isolated several Escherichia coli mutants that extended lifespan of Caenorhabditis elegans. Here, using 1H-NMR metabolite analyses and inter-species genetics, we demonstrate that E. coli mutants depleted of intracellular glucose extend C. elegans lifespans, serving as bona fide glucose-restricted (GR) diets. Unlike general DR, GR diets don't reduce the fecundity of animals, while still improving stress resistance and ameliorating neuro-degenerative pathologies of Aβ42. Interestingly, AAK-2a, a new AMPK isoform, is necessary and sufficient for GR-induced longevity. AAK-2a functions exclusively in neurons to modulate GR-mediated longevity via neuropeptide signaling. Last, we find that GR/AAK-2a prolongs longevity through PAQR-2/NHR-49/Δ9 desaturases by promoting membrane fluidity in peripheral tissues. Together, our studies identify the molecular mechanisms underlying prolonged longevity by glucose specific restriction in the context of whole animals.PMID:36653384 | DOI:10.1038/s41467-023-35952-z

Cell Death Dis. 2023 Jan 18;14(1):35. doi: 10.1038/s41419-022-05542-w.ABSTRACTThe SIRT6 deacetylase has been implicated in DNA repair, telomere maintenance, glucose and lipid metabolism and, importantly, it has critical roles in the brain ranging from its development to neurodegeneration. Here, we combined transcriptomics and metabolomics approaches to characterize the functions of SIRT6 in mouse brains. Our analysis reveals that SIRT6 is a central regulator of mitochondrial activity in the brain. SIRT6 deficiency in the brain leads to mitochondrial deficiency with a global downregulation of mitochondria-related genes and pronounced changes in metabolite content. We suggest that SIRT6 affects mitochondrial functions through its interaction with the transcription factor YY1 that, together, regulate mitochondrial gene expression. Moreover, SIRT6 target genes include SIRT3 and SIRT4, which are significantly downregulated in SIRT6-deficient brains. Our results demonstrate that the lack of SIRT6 leads to decreased mitochondrial gene expression and metabolomic changes of TCA cycle byproducts, including increased ROS production, reduced mitochondrial number, and impaired membrane potential that can be partially rescued by restoring SIRT3 and SIRT4 levels. Importantly, the changes we observed in SIRT6-deficient brains are also occurring in aging human brains and particularly in patients with Alzheimer's, Parkinson's, Huntington's, and Amyotrophic lateral sclerosis disease. Overall, our results suggest that the reduced levels of SIRT6 in the aging brain and neurodegeneration initiate mitochondrial dysfunction by altering gene expression, ROS production, and mitochondrial decay.PMID:36653345 | DOI:10.1038/s41419-022-05542-w

Clin Transl Med. 2023 Jan;13(1):e1150. doi: 10.1002/ctm2.1150.ABSTRACTBACKGROUND: Low-density neutrophils (LDN) are a distinct subset of neutrophils rarely detected in healthy people but appear in the blood of patients with autoimmune diseases, including systemic lupus erythematosus (SLE), and are mobilised in response to granulocyte colony-stimulating factor (G-CSF). The aim of this study was to identify novel mechanisms responsible for the pathogenic capacity of LDN in SLE.METHODS: Neutrophils were isolated from donors treated with G-CSF, and whole-cell proteomic analysis was performed on LDN and normal-density neutrophils.RESULTS: CD98 is significantly upregulated in LDN from G-CSF donors and defines a subset of LDN within the blood of SLE patients. CD98 is a transmembrane protein that dimerises with L-type amino acid transporters. We show that CD98 is responsible for the increased bioenergetic capacity of LDN. CD98 on LDN mediates the uptake of essential amino acids that are used by mitochondria to produce adenosine triphosphate, especially in the absence of glucose. Inhibition of CD98 reduces the metabolic flexibility of this population, which may limit their pathogenic capacity. CD98+ LDN produce more proinflammatory cytokines and chemokines than their normal density counterparts and are resistant to apoptosis, which may also contribute to tissue inflammation and end organ damage in SLE.CONCLUSIONS: CD98 provides a phenotypic marker for LDN that facilitates identification of this population without density-gradient separation and represents a novel therapeutic target to limit its pathogenic capacity.PMID:36653319 | DOI:10.1002/ctm2.1150

Methods Cell Biol. 2023;173:91-107. doi: 10.1016/bs.mcb.2022.07.008. Epub 2022 Sep 29.ABSTRACTNatural Killer (NK) cells play a pivotal role in the elimination of tumor cells. The interactions that NK cells can establish with cancer cells in the tumor microenvironment (TME) are crucial for the outcome of the anti-tumor response, possibly resulting in mechanisms able to modulate NK cell effector functions on the one side, and to modify tumor cell phenotype and properties on the other side. This chapter will describe two different experimental approaches for the evaluation of NK-tumor cell interactions. First, a detailed protocol for the setting up of NK-tumor cell co-cultures will be illustrated, followed by information on cell imaging techniques, useful for assessing cell morphology and cytoskeletal changes. The second part will be focused on the description of a proteomic approach aimed at investigating the effect of this crosstalk from another point of view, i.e., characterizing the cellular and molecular pathways modulated in tumor cells following interaction with NK cells. The chapter centers on the interaction between NK and melanoma cells and refers to experimental approaches we set up to study the effects of this cross-talk on the process of the Epithelial-to-Mesenchymal Transition (EMT). Nevertheless, the described protocols can be quite easily adapted to study the interaction of NK cells with adherent tumor cell lines of different origin and histotype, as in our original study, we also analyzed possible NK-induced morphologic changes in the cervix adenocarcinoma HeLa cells and the colon cancer HT29 cells.PMID:36653088 | DOI:10.1016/bs.mcb.2022.07.008