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Stereospecific analysis of triacylglycerol and phospholipid fractions of four freshwater fish species: Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides.

Food chemistry

Simonetti MS, Blasi F, Bosi A, Maurizi A, Cossignani L, Damiani P.
PMID: 26050184
Food Chem. 2008 Sep 01;110(1):199-206. doi: 10.1016/j.foodchem.2008.01.033. Epub 2008 Feb 01.

The fatty acid compositions and the positional distributions of fatty acid in triacylglycerol (TAGs) and phospholipid (PLs) fractions of four cultured freshwater fish species (Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides) were investigated. As regards the TAGs...

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Simonetti MS, Blasi F, Bosi A, et al. Stereospecific analysis of triacylglycerol and phospholipid fractions of four freshwater fish species: Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides. Food Chem. 2008;110(1):199-206doi: 10.1016/j.foodchem.2008.01.033.
Simonetti, M. S., Blasi, F., Bosi, A., Maurizi, A., Cossignani, L., & Damiani, P. (2008). Stereospecific analysis of triacylglycerol and phospholipid fractions of four freshwater fish species: Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides. Food chemistry, 110(1), 199-206. https://doi.org/10.1016/j.foodchem.2008.01.033
Simonetti, Maria Stella, et al. "Stereospecific analysis of triacylglycerol and phospholipid fractions of four freshwater fish species: Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides." Food chemistry vol. 110,1 (2008): 199-206. doi: https://doi.org/10.1016/j.foodchem.2008.01.033
Simonetti MS, Blasi F, Bosi A, Maurizi A, Cossignani L, Damiani P. Stereospecific analysis of triacylglycerol and phospholipid fractions of four freshwater fish species: Salmo trutta, Ictalurus punctatus, Ictalurus melas and Micropterus salmoides. Food Chem. 2008 Sep 01;110(1):199-206. doi: 10.1016/j.foodchem.2008.01.033. Epub 2008 Feb 01. PMID: 26050184.
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Advantages of total lipid hydrogenation prior to lipid class determination on chromarods-SIII.

Lipids

Shantha NC, Ackman RG.
PMID: 27520799
Lipids. 1990 Sep;25(9):570-4. doi: 10.1007/BF02537167.

The changes in detector responses of lipid classes for standards and natural lipid samples after hydrogenation were investigated with the TLC/FID Iatroscan system using Chromarods-SIII (Newman-Howells Associates, Ltd., Midwales, U.K.). Samples included lipids of human plasma and erythrocytes, egg...

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Shantha NC, Ackman RG. Advantages of total lipid hydrogenation prior to lipid class determination on chromarods-SIII. Lipids. 1990;25(9):570-4doi: 10.1007/BF02537167.
Shantha, N. C., & Ackman, R. G. (1990). Advantages of total lipid hydrogenation prior to lipid class determination on chromarods-SIII. Lipids, 25(9), 570-4. https://doi.org/10.1007/BF02537167
Shantha, N C, and Ackman, R G. "Advantages of total lipid hydrogenation prior to lipid class determination on chromarods-SIII." Lipids vol. 25,9 (1990): 570-4. doi: https://doi.org/10.1007/BF02537167
Shantha NC, Ackman RG. Advantages of total lipid hydrogenation prior to lipid class determination on chromarods-SIII. Lipids. 1990 Sep;25(9):570-4. doi: 10.1007/BF02537167. PMID: 27520799.
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Lipid Compositions in Escherichia coli and Bacillus subtilis During Growth as Determined by MALDI-TOF and TOF/TOF Mass Spectrometry.

International journal of mass spectrometry

Gidden J, Denson J, Liyanage R, Ivey DM, Lay JO.
PMID: 20161304
Int J Mass Spectrom. 2009 Jun 01;283(1):178-184. doi: 10.1016/j.ijms.2009.03.005.

Lipids in Escherichia coli and Bacillus subtilis were analyzed by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry and TOF/TOF tandem mass spectrometry. Lipids were extracted from bacterial cells using an equal volume mixture of dichloromethane, ethanol, and water, which...

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Gidden J, Denson J, Liyanage R, et al. Lipid Compositions in Escherichia coli and Bacillus subtilis During Growth as Determined by MALDI-TOF and TOF/TOF Mass Spectrometry. Int J Mass Spectrom. 2009;283(1):178-184doi: 10.1016/j.ijms.2009.03.005.
Gidden, J., Denson, J., Liyanage, R., Ivey, D. M., & Lay, J. O. (2009). Lipid Compositions in Escherichia coli and Bacillus subtilis During Growth as Determined by MALDI-TOF and TOF/TOF Mass Spectrometry. International journal of mass spectrometry, 283(1), 178-184. https://doi.org/10.1016/j.ijms.2009.03.005
Gidden, Jennifer, et al. "Lipid Compositions in Escherichia coli and Bacillus subtilis During Growth as Determined by MALDI-TOF and TOF/TOF Mass Spectrometry." International journal of mass spectrometry vol. 283,1 (2009): 178-184. doi: https://doi.org/10.1016/j.ijms.2009.03.005
Gidden J, Denson J, Liyanage R, Ivey DM, Lay JO. Lipid Compositions in Escherichia coli and Bacillus subtilis During Growth as Determined by MALDI-TOF and TOF/TOF Mass Spectrometry. Int J Mass Spectrom. 2009 Jun 01;283(1):178-184. doi: 10.1016/j.ijms.2009.03.005. PMID: 20161304; PMCID: PMC2699300.
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UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia.

Evidence-based complementary and alternative medicine : eCAM

Shenghua P, Shuyu T, Kunping L, Huixia Z, Xue X, Jiao G.
PMID: 30245731
Evid Based Complement Alternat Med. 2018 Aug 30;2018:4530849. doi: 10.1155/2018/4530849. eCollection 2018.

Hyperlipidemia is a common disease caused by abnormal plasma lipid metabolism. Lipidomics is a powerful and efficient technology to study the integration of disease and syndrome of Chinese medicine. This study investigated specific changes in lipid metabolites from hyperlipidemia...

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Shenghua P, Shuyu T, Kunping L, et al. UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia. Evid Based Complement Alternat Med. 2018;2018:4530849doi: 10.1155/2018/4530849.
Shenghua, P., Shuyu, T., Kunping, L., Huixia, Z., Xue, X., & Jiao, G. (2018). UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia. Evidence-based complementary and alternative medicine : eCAM, 20184530849. https://doi.org/10.1155/2018/4530849
Shenghua, Piao, et al. "UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia." Evidence-based complementary and alternative medicine : eCAM vol. 2018 (2018): 4530849. doi: https://doi.org/10.1155/2018/4530849
Shenghua P, Shuyu T, Kunping L, Huixia Z, Xue X, Jiao G. UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia. Evid Based Complement Alternat Med. 2018 Aug 30;2018:4530849. doi: 10.1155/2018/4530849. eCollection 2018. PMID: 30245731; PMCID: PMC6136559.
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Interleaflet Coupling, Pinning, and Leaflet Asymmetry-Major Players in Plasma Membrane Nanodomain Formation.

Frontiers in cell and developmental biology

Fujimoto T, Parmryd I.
PMID: 28119914
Front Cell Dev Biol. 2017 Jan 10;4:155. doi: 10.3389/fcell.2016.00155. eCollection 2016.

The plasma membrane has a highly asymmetric distribution of lipids and contains dynamic nanodomains many of which are liquid entities surrounded by a second, slightly different, liquid environment. Contributing to the dynamics is a continuous repartitioning of components between...

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Fujimoto T, Parmryd I. Interleaflet Coupling, Pinning, and Leaflet Asymmetry-Major Players in Plasma Membrane Nanodomain Formation. Front Cell Dev Biol. 2017;4:155doi: 10.3389/fcell.2016.00155.
Fujimoto, T., & Parmryd, I. (2016). Interleaflet Coupling, Pinning, and Leaflet Asymmetry-Major Players in Plasma Membrane Nanodomain Formation. Frontiers in cell and developmental biology, 4155. https://doi.org/10.3389/fcell.2016.00155
Fujimoto, Toyoshi, and Parmryd, Ingela. "Interleaflet Coupling, Pinning, and Leaflet Asymmetry-Major Players in Plasma Membrane Nanodomain Formation." Frontiers in cell and developmental biology vol. 4 (2016): 155. doi: https://doi.org/10.3389/fcell.2016.00155
Fujimoto T, Parmryd I. Interleaflet Coupling, Pinning, and Leaflet Asymmetry-Major Players in Plasma Membrane Nanodomain Formation. Front Cell Dev Biol. 2017 Jan 10;4:155. doi: 10.3389/fcell.2016.00155. eCollection 2016. PMID: 28119914; PMCID: PMC5222840.
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Lipid metabolism of phenol-tolerant .

Biotechnology for biofuels

Henson WR, Hsu FF, Dantas G, Moon TS, Foston M.
PMID: 30607174
Biotechnol Biofuels. 2018 Dec 28;11:339. doi: 10.1186/s13068-018-1337-z. eCollection 2018.

BACKGROUND: Lignin is a recalcitrant aromatic polymer that is a potential feedstock for renewable fuel and chemical production. RESULTS: We hypothesize that the composition of lipids plays an important role in phenol tolerance. To test this hypothesis, we applied...

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Henson WR, Hsu FF, Dantas G, et al. Lipid metabolism of phenol-tolerant . Biotechnol Biofuels. 2018;11:339doi: 10.1186/s13068-018-1337-z.
Henson, W. R., Hsu, F. F., Dantas, G., Moon, T. S., & Foston, M. (2018). Lipid metabolism of phenol-tolerant . Biotechnology for biofuels, 11339. https://doi.org/10.1186/s13068-018-1337-z
Henson, William R, et al. "Lipid metabolism of phenol-tolerant ." Biotechnology for biofuels vol. 11 (2018): 339. doi: https://doi.org/10.1186/s13068-018-1337-z
Henson WR, Hsu FF, Dantas G, Moon TS, Foston M. Lipid metabolism of phenol-tolerant . Biotechnol Biofuels. 2018 Dec 28;11:339. doi: 10.1186/s13068-018-1337-z. eCollection 2018. PMID: 30607174; PMCID: PMC6309088.
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Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study.

EBioMedicine

Wittenbecher C, Guasch-Ferré M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, Lee CH, Qi Q, Liang L, Eliassen AH, Clish C, Sun Q, Hu FB.
PMID: 34979341
EBioMedicine. 2021 Dec 31;75:103799. doi: 10.1016/j.ebiom.2021.103799. Epub 2021 Dec 31.

BACKGROUND: Metabolomics profiles were consistently associated with type 2 diabetes (T2D) risk, but evidence on long-term metabolite changes and T2D incidence is lacking. We examined the associations of 10-year plasma metabolite changes with subsequent T2D risk.METHODS: We conducted a...

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Wittenbecher C, Guasch-Ferré M, Haslam DE, et al. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine. 2021;75:103799doi: 10.1016/j.ebiom.2021.103799.
Wittenbecher, C., Guasch-Ferré, M., Haslam, D. E., Dennis, C., Li, J., Bhupathiraju, S. N., Lee, C. H., Qi, Q., Liang, L., Eliassen, A. H., Clish, C., Sun, Q., & Hu, F. B. (2021). Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine, 75103799. https://doi.org/10.1016/j.ebiom.2021.103799
Wittenbecher, Clemens, et al. "Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study." EBioMedicine vol. 75 (2021): 103799. doi: https://doi.org/10.1016/j.ebiom.2021.103799
Wittenbecher C, Guasch-Ferré M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, Lee CH, Qi Q, Liang L, Eliassen AH, Clish C, Sun Q, Hu FB. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine. 2021 Dec 31;75:103799. doi: 10.1016/j.ebiom.2021.103799. Epub 2021 Dec 31. PMID: 34979341; PMCID: PMC8733263.
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Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study.

EBioMedicine

Wittenbecher C, Guasch-Ferré M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, Lee CH, Qi Q, Liang L, Eliassen AH, Clish C, Sun Q, Hu FB.
PMID: 34979341
EBioMedicine. 2021 Dec 31;75:103799. doi: 10.1016/j.ebiom.2021.103799. Epub 2021 Dec 31.

BACKGROUND: Metabolomics profiles were consistently associated with type 2 diabetes (T2D) risk, but evidence on long-term metabolite changes and T2D incidence is lacking. We examined the associations of 10-year plasma metabolite changes with subsequent T2D risk.METHODS: We conducted a...

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Wittenbecher C, Guasch-Ferré M, Haslam DE, et al. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine. 2021;75:103799doi: 10.1016/j.ebiom.2021.103799.
Wittenbecher, C., Guasch-Ferré, M., Haslam, D. E., Dennis, C., Li, J., Bhupathiraju, S. N., Lee, C. H., Qi, Q., Liang, L., Eliassen, A. H., Clish, C., Sun, Q., & Hu, F. B. (2021). Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine, 75103799. https://doi.org/10.1016/j.ebiom.2021.103799
Wittenbecher, Clemens, et al. "Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study." EBioMedicine vol. 75 (2021): 103799. doi: https://doi.org/10.1016/j.ebiom.2021.103799
Wittenbecher C, Guasch-Ferré M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, Lee CH, Qi Q, Liang L, Eliassen AH, Clish C, Sun Q, Hu FB. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses' Health Study. EBioMedicine. 2021 Dec 31;75:103799. doi: 10.1016/j.ebiom.2021.103799. Epub 2021 Dec 31. PMID: 34979341.
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Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study.

Journal of ovarian research

Ban Y, Ran H, Chen Y, Ma L.
PMID: 34645507
J Ovarian Res. 2021 Oct 13;14(1):135. doi: 10.1186/s13048-021-00885-y.

BACKGROUND: The polycystic ovary syndrome (PCOS) is the most common endocrine associated with insulin resistance, even in the absence of overweight. The global lipid profile of the follicular fluid in PCOS with normal weight as yet has not been...

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Ban Y, Ran H, Chen Y, et al. Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study. J Ovarian Res. 2021;14(1):135doi: 10.1186/s13048-021-00885-y.
Ban, Y., Ran, H., Chen, Y., & Ma, L. (2021). Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study. Journal of ovarian research, 14(1), 135. https://doi.org/10.1186/s13048-021-00885-y
Ban, Yanna, et al. "Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study." Journal of ovarian research vol. 14,1 (2021): 135. doi: https://doi.org/10.1186/s13048-021-00885-y
Ban Y, Ran H, Chen Y, Ma L. Lipidomics analysis of human follicular fluid form normal-weight patients with polycystic ovary syndrome: a pilot study. J Ovarian Res. 2021 Oct 13;14(1):135. doi: 10.1186/s13048-021-00885-y. PMID: 34645507; PMCID: PMC8515674.
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Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages.

Biomedicines

Peña-Bautista C, Álvarez-Sánchez L, Cañada-Martínez AJ, Baquero M, Cháfer-Pericás C.
PMID: 34944628
Biomedicines. 2021 Dec 02;9(12). doi: 10.3390/biomedicines9121812.

BACKGROUND: Alzheimer Disease (AD) is the most prevalent dementia. However, the physiopathological mechanisms involved in its development are unclear. In this sense, a multi-omics approach could provide some progress.METHODS: Epigenomic and lipidomic analysis were carried out in plasma samples...

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Peña-Bautista C, Álvarez-Sánchez L, Cañada-Martínez AJ, et al. Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages. Biomedicines. 2021;9(12)doi: 10.3390/biomedicines9121812.
Peña-Bautista, C., Álvarez-Sánchez, L., Cañada-Martínez, A. J., Baquero, M., & Cháfer-Pericás, C. (2021). Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages. Biomedicines, 9(12), . https://doi.org/10.3390/biomedicines9121812
Peña-Bautista, Carmen, et al. "Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages." Biomedicines vol. 9,12 (2021). doi: https://doi.org/10.3390/biomedicines9121812
Peña-Bautista C, Álvarez-Sánchez L, Cañada-Martínez AJ, Baquero M, Cháfer-Pericás C. Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages. Biomedicines. 2021 Dec 02;9(12). doi: 10.3390/biomedicines9121812. PMID: 34944628; PMCID: PMC8698767.
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Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study.

Clinica chimica acta; international journal of clinical chemistry

Chen Z, Song S, Yang C, Dai Z, Gao Y, Li N, Zhu J, Mao W, Liu J.
PMID: 34843704
Clin Chim Acta. 2022 Jan 01;524:34-42. doi: 10.1016/j.cca.2021.11.024. Epub 2021 Nov 27.

BACKGROUND AND AIM: Malignant mesothelioma (MM), being a rare and aggressive carcinoma, can barely be cured. Incidence of this cancer will keep climbing up in the next few decades since its major carcinogen, asbestos, is still in use in...

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Chen Z, Song S, Yang C, et al. Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study. Clin Chim Acta. 2021;524:34-42doi: 10.1016/j.cca.2021.11.024.
Chen, Z., Song, S., Yang, C., Dai, Z., Gao, Y., Li, N., Zhu, J., Mao, W., & Liu, J. (2022). Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study. Clinica chimica acta; international journal of clinical chemistry, 52434-42. https://doi.org/10.1016/j.cca.2021.11.024
Chen, Zhongjian, et al. "Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study." Clinica chimica acta; international journal of clinical chemistry vol. 524 (2022): 34-42. doi: https://doi.org/10.1016/j.cca.2021.11.024
Chen Z, Song S, Yang C, Dai Z, Gao Y, Li N, Zhu J, Mao W, Liu J. Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study. Clin Chim Acta. 2022 Jan 01;524:34-42. doi: 10.1016/j.cca.2021.11.024. Epub 2021 Nov 27. PMID: 34843704.
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Influence of thermal processing on flavor and sensory profile of sturgeon meat.

Food chemistry

Li X, Xie W, Bai F, Wang J, Zhou X, Gao R, Xu X, Zhao Y.
PMID: 34875433
Food Chem. 2021 Nov 28;374:131689. doi: 10.1016/j.foodchem.2021.131689. Epub 2021 Nov 28.

Sensory analysis and instrumental techniques were used to investigate the effect of thermal processing on sturgeon meat flavor. A lexicon consisted of 26 descriptors was established for the sensory evaluation of raw and steamed sturgeon meat (4, 8, 12,...

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Li X, Xie W, Bai F, et al. Influence of thermal processing on flavor and sensory profile of sturgeon meat. Food Chem. 2021;374:131689doi: 10.1016/j.foodchem.2021.131689.
Li, X., Xie, W., Bai, F., Wang, J., Zhou, X., Gao, R., Xu, X., & Zhao, Y. (2021). Influence of thermal processing on flavor and sensory profile of sturgeon meat. Food chemistry, 374131689. https://doi.org/10.1016/j.foodchem.2021.131689
Li, Xuefei, et al. "Influence of thermal processing on flavor and sensory profile of sturgeon meat." Food chemistry vol. 374 (2021): 131689. doi: https://doi.org/10.1016/j.foodchem.2021.131689
Li X, Xie W, Bai F, Wang J, Zhou X, Gao R, Xu X, Zhao Y. Influence of thermal processing on flavor and sensory profile of sturgeon meat. Food Chem. 2021 Nov 28;374:131689. doi: 10.1016/j.foodchem.2021.131689. Epub 2021 Nov 28. PMID: 34875433.
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Showing 1 to 12 of 88 entries