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Human Milk and Lactation
| Human Milk and Lactation |
| Autore | Gianni Maria Lorella |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (368 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
?-linolenic acid
?-tocopherol 2?-fucosyllactose (2?FL) 3?-sialyllactose (3?SL) adipokines amino acids antenatal antioxidant capacity antioxidants arachidonic acid (ARA) bile salt stimulated lipase bioactive factors body composition breast milk breastfeeding breastfeeding difficulties breastfeeding support calcium carbohydrate carotenoids celiac disease choline clinical trial colostrum copper country cytokines dietary assessment dietary intake digestive tract disialyllacto-N-tetraose (DSLNT) docosahexaenoic acid docosahexaenoic acid (DHA) donor human milk donor milk duration of lactation early breastfeeding cessation eicosapentaenoic acid eicosapentaenoic acid (EPA) endogenous peptide expressing fat fatty acids flow injection analysis flu vaccine food frequency questionnaire glycoprotein growth growth factors high pressure processing high-performance liquid chromatography (HPLC) hormones human milk Human Milk human milk benefits human milk fat human milk fortification human milk oligosaccharides (HMO) immune-active proteins inadequate intake infant infant formula infants iodine iron lactating women lactation lactational stage lactose late preterm LC-MS Lewis lipid metabolites Lipidomics lipids macronutrients magnesium mammary gland maternal diet maternal immunoglobulins milk banking Milk Fat Globule Membrane milk group milk therapy mothers mothers' own milk multiple source method n-9 fatty acid n/a neonate nervonic acid nutrition nutritional status omega-3 fatty acids online passive immunization pasteurization phosphocholine Phospholipids phosphorus potassium pregnancy prematurity preterm Preterm infant promotion of breastfeeding prospective study protease inhibitors proteases protective factors protein pumping retinol secretor selenium sodium storage supplementation targeted metabolomics term term infant term infants undernourishment video instruction vitamin D deficiency zinc |
| ISBN | 3-03928-924-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404077103321 |
Gianni Maria Lorella
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry / Susmita Datta, Bart J.A. Mertens editors
| Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry / Susmita Datta, Bart J.A. Mertens editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | viii, 295 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Analysis
Analytical chemistry Bayesian Biochemistry Bioinformatics Biomarker Biostatistics Computer Science Disease Gene expression Glycomics Lipidomics Mass spectrometry Metabolite Metabolomics Omics Protein Proteomics Statistical Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123587 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry / Susmita Datta, Bart J.A. Mertens editors
| Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry / Susmita Datta, Bart J.A. Mertens editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | viii, 295 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Analysis
Analytical chemistry Bayesian Biochemistry Bioinformatics Biomarkers Biostatistics Computer Science Disease Gene expression Glycomics Lipidomics Mass spectrometry Metabolite Metabolomics Omics Protein Proteomics Statistical Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123587 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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