4.6 Article

Does consumption of red grapefruit juice alter naringenin concentrations in milk produced by breastfeeding mothers?

Journal

PLOS ONE
Volume 12, Issue 10, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0185954

Keywords

-

Funding

  1. University of Warmia and Mazury in Olsztyn, Poland

Ask authors/readers for more resources

The content of certain ingredients of human milk, such as flavonoids, depend on the types and amounts of plant products consumed and may vary from woman to woman. The aim of the study was to determine to what extent consumption of an average amount of grapefruit juice (250 ml) affected naringenin content in human milk. A total of 14 breastfeeding mothers were included in the study. The subjects remained on a diet with restricted intake of naringenin for a total of five days except on the third day, when they drank a single serving of 250 ml of grapefruit juice. A considerable subject-to-subject variability in naringenin content was observed in both initial and subsequent determinations. Baseline concentration values, which may reflect naringenin content in the milk produced by the breastfeeding mother who eat an everyday (unmodified) diet, ranged from 420.86 nmol/l to 1568.89 nmol/l, with a mean of 823.24 nmol/l. Switching to the modified diet resulted in a decrease in naringenin concentrations to the mean value of 673.89 nmol/l measured 48 hours after the switch. The highest mean values were observed four and 12 hours after consumption of the juice, equalling l908.25 nmol/l (SD +/- 676.84 nmol/l) and 868.96 nmol/l (SD +/- 665.54 nmol/l), respectively. Naringenin is commonly found in human milk in quantities expressed in nmol/l, and its concentrations vary from woman to woman. Consumption of 250 ml of red grapefruit juice by breastfeeding mothers does not significantly alter naringenin concentrations in their milk.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemistry & Molecular Biology

Human Sperm Characteristics with Regard to Cobalt, Chromium, and Lead in Semen and Activity of Catalase in Seminal Plasma

Urszula Marzec-Wroblewska, Piotr Kaminski, Pawel Lakota, Marek Szymanski, Karolina Wasilow, Grzegorz Ludwikowski, Leszek Jerzak, Tomasz Stuczynski, Alina Wozniak, Adam Bucinski

BIOLOGICAL TRACE ELEMENT RESEARCH (2019)

Article Chemistry, Analytical

An application of QSRR approach and multiple linear regression method for lipophilicity assessment of flavonoids

Mariusz Zapadka, Mateusz Kaczmarek, Bogumila Kupcewicz, Przemyslaw Dekowski, Agata Walkowiak, Adam Kokotkiewicz, Maria Luczkiewicz, Adam Bucinski

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS (2019)

Article Medicine, Research & Experimental

Prediction of semen quality using artificial neural network

Anna Badura, Urszula Marzec-Wroblewska, Piotr Kaminski, Pawel Lakota, Grzegorz Ludwikowski, Marek Szymanski, Karolina Wasilow, Andzelika Lorenc, Adam Bucinski

JOURNAL OF APPLIED BIOMEDICINE (2019)

Article Chemistry, Medicinal

Chemical variability of Rhododendron tomentosum (Ledum palustre) essential oils and their pro-apoptotic effect on lymphocytes and rheumatoid arthritis synoviocytes

Anna Jesionek, Adam Kokotkiewicz, Anna Mikosik-Roczynska, Klaudia Ciesielska-Figlon, Piotr Luczkiewicz, Adam Bucinski, Agnieszka Daca, Jacek M. Witkowski, Ewa Bryl, Bozena Zabiegala, Maria Luczkiewicz

FITOTERAPIA (2019)

Article Biotechnology & Applied Microbiology

Application of artificial neural networks to prediction of new substances with antimicrobial activity againstEscherichia coli

A. Badura, J. Krysinski, A. Nowaczyk, A. Bucinski

Summary: This study successfully used artificial neural networks to predict the biological activity of chemical compounds, with regression and classification models showing high predictive accuracy in determining antimicrobial properties. Three-dimensional models constructed with computational chemistry methods allowed the transformation of chemical information into useful numerical values, increasing experimental efficiency.

JOURNAL OF APPLIED MICROBIOLOGY (2021)

Article Biotechnology & Applied Microbiology

Accumulation of volatile constituents in agar and bioreactor shoot cultures of Verbena officinalis L.

Adam Kokotkiewicz, Bozena Zabiegala, Pawel Kubica, Agnieszka Szopa, Adam Bucinski, Halina Ekiert, Maria Luczkiewicz

Summary: Microshoot cultures of Verbena officinalis in temporary immersion bioreactors were investigated for essential oil content and volatile fraction composition. Results showed variations in essential oil content and composition under different culture conditions.

PLANT CELL TISSUE AND ORGAN CULTURE (2021)

Article Chemistry, Multidisciplinary

Prediction of the antimicrobial activity of quaternary ammonium salts against Staphylococcus aureus using artificial neural networks

Anna Badura, Jerzy Krysinski, Alicja Nowaczyk, Adam Bucinski

Summary: The study utilized artificial neural networks to investigate the antibacterial activity of imidazole derivatives against Staphylococcus aureus, resulting in the development of highly predictive regression and classification models. These models proved useful in determining the antibacterial properties of quaternary ammonium salts against S. aureus, showcasing the potential of ANNs in supporting synthesis design and the search for new antimicrobial substances.

ARABIAN JOURNAL OF CHEMISTRY (2021)

Article Food Science & Technology

Optimization of Distillation Conditions for Improved Recovery of Phthalides from Celery (Apium graveolens L.) Seeds

Adam Kokotkiewicz, Anna Badura, Zaneta Tabaczynska, Andzelika Lorenc, Adam Bucinski, Maria Luczkiewicz

Summary: The study optimized parameters of conventional hydrodistillation and simultaneous distillation-extraction to obtain phthalide-enriched fractions of celery seeds. A positive correlation was shown between hydrodistillation time and improved essential oil and phthalide yields, with comminuted seeds yielding higher phthalide content in the essential oil. Changing distillation mode from hydrodistillation to simultaneous distillation-extraction significantly increased oil yield of whole seeds while maintaining high phthalide content.

POLISH JOURNAL OF FOOD AND NUTRITION SCIENCES (2021)

Article Automation & Control Systems

Application of artificial neural networks to the prediction of antifungal activity of imidazole derivatives against Candida albicans

Anna Badura, Jerzy Krysinski, Alicja Nowaczyk, Adam Bucinski

Summary: The article uses artificial neural networks to predict the antifungal properties of quaternary ammonium salts against Candida albicans. The models achieved high predictive ability and accurately classified the compounds into active or inactive.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)

Article Biochemistry & Molecular Biology

Phenolic Composition and Biological Properties of Wild and Commercial Dog Rose Fruits and Leaves

Milena Polumackanycz, Mateusz Kaszuba, Agnieszka Konopacka, Urszula Marzec-Wroblewska, Marek Wesolowski, Krzysztof Waleron, Adam Bucinski, Agnieszka Viapiana

MOLECULES (2020)

No Data Available