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001-es BibID:	BIBFORM125568
Első szerző:	Baranyi József (biomatematikus)
Cím:	Modelling the temporal trajectories of human milk components / Baranyi, József; Pacza, Tünde; Martins, Mayara L.; Thakkar, Sagar K.; Samuel, Tinu M.
Dátum:	2024
ISSN:	1471-2393
Megjegyzések:	BackgroundThis paper demonstrates how available data can be explored and utilized to conclude generic patterns in the temporal changes in Human Milk (HM) composition.MethodsThe temporal trajectories of selected human milk components (HMC-s) were described, in the first four months postpartum, by a primary model consisting of two phases: a short linear phase in the colostrum, triggered by the parturition; and a longer second phase, where the concentration of the component converges to a steady state. The model was fitted to data available in a recently published database of temporal HMC trajectories both at the levels of individual molecules (such as specific fatty acid, oligosaccharide, and mineral molecules) and molecule-groups (such as total protein, total fat).ResultsThe properties of the trajectories suggest that experimental designs should follow non-equidistant sampling times, with increasingly longer time intervals after the first week postpartum. A selected parameter, the final station-ary level, of the primary model was then studied as a function of geographical location (secondary modelling).ConclusionsWe found that the total variation of the concentration of specific HMC-s is dominantly due to the inher-ent biological differences between individual mothers and to less extent to the geographical location.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Food composition Human Milk Predictive modelling Saturation model Longitudinal data Error estimation
Megjelenés:	BMC Pregnancy and Childbirth. - 24 : 1 (2024), p. 1-13. -
További szerzők:	Pacza Tünde (1967-) (alkalmazott matematikus, informatikus) Martins, Mayara Lopes (1993-) Thakkar, Sagar K. Samuel, Tinu M.
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001-es BibID:	BIBFORM104070
035-os BibID:	(WoS)000888071300010 (Scopus)85140042610
Első szerző:	Martins, Mayara Lopes (1993-)
Cím:	A computational approach to nutrition science reveals the dynamics of the protein content of human milk / Mayara L. Martins, Tünde Pacza, Katalin Müller, József Baranyi
Dátum:	2022
ISSN:	1466-8564
Tárgyszavak:	Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Innovative Food Science and Emerging Technologies. - 82 (2022), p. 1-5. -
További szerzők:	Pacza Tünde (1967-) (alkalmazott matematikus, informatikus) Müller Katalin Eszter Baranyi József (1956-) (biomatematikus)
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001-es BibID:	BIBFORM122524
Első szerző:	Pacza Tünde (alkalmazott matematikus, informatikus)
Cím:	MilkyBase- A Database for Molecular-Level Mapping of the Composition of the Human Milk / Pacza Tünde ; Mayara L. Martins ; Müller Katalin ; Baranyi József
Dátum:	2023
Megjegyzések:	Human milk is an optimal source of nutrition for infants, whose composition varies dynamically depending on maternal, infant and measurement conditions. The objective of this study was to create a comprehensive database of the biochemical composition of human milk based on scientific publications, which can provide a tool to explore the complexity of human milk. Data selection was performed using a natural language processing algorithm augmented with manual methods, while focusing on quantitative data of human milk components, mainly dynamic data showing the variation of components over time. The data were organised into a new tree-structured ontology and the biochemical components were recorded as responses to different classified and quantified conditions. The database provides detailed information on the composition of human milk. The organisation of the fields reflects the fact that the biochemical composition of human milk can be considered as a dynamic response to maternal and infant characteristics, as well as to measurement methods and other conditions, thus giving way to predictive possibilities. The database is a valuable resource for researchers investigating the composition and potential health benefits of human milk. It is also intended to provide a platform for users to put their own data into a standardised format and analyse it against the published data. The database can also identify gaps in knowledge and help plan what new experiments are needed to achieve the critical mass of data needed for decision making in both business and science.
Tárgyszavak:	Agrártudományok Élelmiszertudományok előadáskivonat könyvrészlet Human Milk components
Megjelenés:	International Milk Genomic Consortium : IMGC HYBRID Symposium 2023. - p. 1
További szerzők:	Martins, Mayara Lopes (1993-) Müller Katalin Eszter Baranyi József (1956-) (biomatematikus)
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001-es BibID:	BIBFORM103800
035-os BibID:	(WoS)000852426500002 (Scopus)85138128529
Első szerző:	Pacza Tünde (alkalmazott matematikus, informatikus)
Cím:	MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions / Tünde Pacza, Mayara L. Martins, Maha Rockaya, Katalin Müller, Ayan Chatterjee, Albert-László Barabási, József Baranyi
Dátum:	2022
ISSN:	2052-4463
Megjegyzések:	This study describes the development of a database, called MilkyBase, of the biochemical composition of human milk. The data were selected, digitized and curated partly by machine-learning, partly manually from publications. The database can be used to find patterns in the milk composition as a function of maternal-, infant- and measurement conditions and as a platform for users to put their own data in the format shown here. The database is an Excel workbook of linked sheets, making it easy to input data by non-computationally minded nutritionists. The hierarchical organisation of the fields makes sure that statistical inference methods can be programmed to analyse the data. Uncertainty quantification and recording dynamic (time-dependent) compositions offer predictive potentials.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Scientific Data. - 9 : 1 (2022), p. 1-7. -
További szerzők:	Martins, Mayara Lopes (1993-) Rockaya, Maha (1993-) (PhD hallgató) Müller Katalin Eszter Chatterjee, Ayan Barabási Albert-László Baranyi József (1956-) (biomatematikus)
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