scholarly journals Calculating Protein Content of Expressed Breast Milk to Optimize Protein Supplementation in Very Low Birth Weight Infants with Minimal Effort—A Secondary Analysis

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1231
Author(s):  
Michaela Minarski ◽  
Christoph Maas ◽  
Corinna Engel ◽  
Christine Heinrich ◽  
Katrin Böckmann ◽  
...  
Keyword(s):  
Breast Milk ◽  
Protein Content ◽  
Milk Protein ◽  
Very Low Birth Weight ◽  
Validation Cohort ◽  
Secondary Analysis ◽  
Protein Supplementation ◽  
Low Birth Weight Infants ◽  
Milk Protein Content ◽  
Protein Supply

Breast milk does not meet the nutritional needs of preterm infants, necessitating fortification. Breast milk is particularly variable in protein content, hence standardized (fixed dosage) supplementation results in inadequate supply. This was a secondary analysis of 589 breast milk protein content measurements of 51 mothers determined by mid-infrared spectroscopy during a clinical trial of higher versus lower protein supplementation in very low birth weight infants. Mothers (and breast milk samples) were divided into a test (41 mothers) and a validation cohort (10 mothers). In the test cohort, the decrease in protein content by day of lactation was modeled resulting in the breast milk-equation (BME)). In the validation cohort, five supplementation strategies to optimize protein supply were compared: standardized supplementation (adding 1.0 g (S1) or 1.42 g protein/100 mL (S2)) was compared with ‘adapted’ supplementation, considering variation in protein content (protein content according to Gidrewicz and Fenton (A1), to BME (A2) and to BME with adjustments at days 12 and 26 (A3)). S1 and S2 achieved 5% and 24% of adequate protein supply, while the corresponding values for A1–A3 were 89%, 96% and 95%. Adapted protein supplementation based on calculated breast milk protein content is easy, non-invasive, inexpensive and improves protein supply compared to standardized supplementation.

scholarly journals Effects of physical treatment of barley and rapeseed meal in dairy cows given grass silage-based diets

1996 ◽  
Vol 5 (4) ◽  
pp. 399-412 ◽  
Author(s):  
Pekka Huhtanen ◽  
Terttu Heikkilä
Keyword(s):  
Protein Content ◽  
Milk Yield ◽  
Milk Protein ◽  
Rapeseed Meal ◽  
Protein Supplementation ◽  
Physical Treatment ◽  
Heat Moisture Treatment ◽  
Grass Silage ◽  
Milk Protein Content ◽  
Moisture Treatment

Twenty-four Ayrshire cows were used to study the effects of physical treatment of barley, rapeseed meal (RSM) supplementation and heat-moisture treatment of RSM on silage intake and milk production. Experimental design was a cyclic change-over with six dietary treatments. The treatments in a 2 x 3 factorial arrangement consisted of either untreated (UB) or heat-moisture treated barley (TB), given without protein supplementation (control) or with untreated or heat-moisture treated RSM. Grass silage was given ad libitum and the concentrates at a rate of 10 kg/d. For the RSM diets, 2 kg/d of the basal concentrate was replaced with either untreated or treated RSM. Treatment of barley decreased silage intake, the effect being greater when the supplement did not contain RSM. There was no effect on milk yield, but due to the lower milk fat content, energy corrected milk yield was lower in cows given TB than in those given UB. Feeding the TB diets was also associated with lower milk urea content, and with increased milk protein content but not protein yield. Faster initial rate of gas production in vitro suggested that the treatment of barley increased the rate of fermentation. Compared with the control diets, RSM supplementation significantly increased silage intake, milk yield, milk protein content and yields of all milk constituents. Heat-moisture treatment of RSM did not produce any further production response.

Anti-mastitis SNV identification of NFκB1 in Chinese Holstein cows and the possible anti-inflammation role of NFκB1/p105 in bovine MECs

2020 ◽  
Vol 52 (11) ◽  
pp. 1191-1201
Author(s):  
Ling Chen ◽  
Rongfu Tian ◽  
Huilin Zhang ◽  
Xiaolin Liu
Keyword(s):  
Somatic Cell ◽  
Mrna Expression ◽  
Protein Content ◽  
Milk Protein ◽  
Holstein Cows ◽  
Chinese Holstein ◽  
Milk Protein Content ◽  
Chinese Holstein Cows ◽  
Anti Inflammation

Abstract NFκB1/p105 is the critical member of the NFκB family which can suppress inflammation, ageing, and cancer when p50/p50 homodimer is formed. Currently, the research about the role of NFκB1/p105 during cow mastitis is limited. Here, we analyzed the correlation of six single-nucleotide variants of the NFκB1 gene with somatic cell count, milk yield, milk fat content, and milk protein content in 547 Chinese Holstein cows, and explored the mRNA expression profiles of the NFκB family and ubiquitin ligases (βTrCP1, βTrCP2, KPC1, KPC2) in LPS-induced bovine mammary epithelial cells (MECs) by transcriptome-Seq. The association analysis showed that cows with SNV2-TT and SNV6-CC in the NFκB1 gene had significantly higher milk protein content (P < 0.05), while cows with SNV5-TT in the NFκB1 gene had significantly lower somatic cell score (SCS), but CC genotype at SNV5 locus was not detected in our Holstein cows. The transcriptome-Seq results demonstrated the mRNA expression of NFκB1 was increased and peaked at 4 h post-induction, while the mRNA expressions of both KPC1 and BCL3 that promote the anti-inflammation function of NFκB1/p105 were decreased in LPS-induced bovine MECs. TNFAIP3, an inhibitor of both degradation and processing of p105 precursor, was markedly increased by more than 3 folds. Furthermore, bta-miR-125b which targets at the 3ʹUTR of TNFAIP3 was reduced by 50%. These results indicated that SNV5-TT of the NFκB1 gene with lower SCS may be an anti-mastitis genotype that could cope with infection more efficiently in Chinese Holstein cows. In addition, the anti-inflammation role of NFκB1/p105 seemed to be inhibited in LPS-induced-bovine MECs because the formation of the p50/p50 homodimer was arrested. This study provides a new perspective to understand the inflammatory mechanism in dairy mastitis.

Serum triglycerides of breast milk fed very low birth weight infants

1995 ◽  
Vol 28 (3) ◽  
pp. 323-324
Author(s):  
T.R. Fenton ◽  
N. Singhal ◽  
R.D. Baynton ◽  
A.R. Akierman
Keyword(s):  
Birth Weight ◽  
Breast Milk ◽  
Low Birth Weight ◽  
Very Low Birth Weight ◽  
Low Birth Weight Infants ◽  
Serum Triglycerides

Sequence analyses of variable cytomegalovirus genes for distinction between breast milk- and transfusion-transmitted infections in very-low-birth-weight infants

Transfusion ◽  
2018 ◽  
Vol 58 (12) ◽  
pp. 2894-2902 ◽  
Author(s):  
Yasumi Furui ◽  
Naoji Yamagishi ◽  
Ichiro Morioka ◽  
Rikizo Taira ◽  
Kosuke Nishida ◽  
...  
Keyword(s):  
Birth Weight ◽  
Breast Milk ◽  
Low Birth Weight ◽  
Very Low Birth Weight ◽  
Sequence Analyses ◽  
Low Birth Weight Infants

scholarly journals The chemical composition and technological properties of milk obtained from the morning and evening milking

2008 ◽  
Vol 56 (5) ◽  
pp. 187-198 ◽  
Author(s):  
Martin Skýpala ◽  
Gustav Chládek
Keyword(s):  
Protein Content ◽  
Milk Yield ◽  
Milk Fat ◽  
Protein Production ◽  
Milk Protein ◽  
Fat Content ◽  
Total Solids ◽  
Milk Protein Content ◽  
Solids Content ◽  
Morning Milk

Milk yield varies during lactation, following what is termed a lactation curve. ŽIŽLAVSKÝ and MIKŠÍK (1988) recorded changes in milk yield within a day, too. TEPLÝ et al. (1979) a KOUŘIMSKÁ et al. (2007) published variation within a day ± 1.10 kg in milk yield, ± 0.75 % in milk fat content and ± 0.20 % in milk protein content. Milk yield of cows can be expressed in many different ways, for instance, in kilograms per lactation or in kilograms per day. A practical parameter describing milk production is milk yield (kg) per milking.The object of experiment were 12 cows of Holstein cattle on the first lactation from the 100-day of lactation to 200-day of lactation. The samples of milk were collected from January to May 2007, once a month from the morning and evening milking (milking interval 12 h ± 15 min.). The following parameters were monitored: milk production – milk yield (kg), milk protein production (kg), milk fat production (kg); milk composition – milk protein content (%), milk fat content (%), lactose content (%), milk solids-not-fat content (%), milk total solids content (%); technological properties of milk – ti­tra­tab­le acidity (SH), active acidity (pH), rennet coagulation time (s), quality of curd (class) and somatic cell count as a parameter of udder health.Highly significant differences were found (P < 0.01) between morning milk yield (15.7 kg) and evening milk yield (13.8 kg), between morning milk protein production (0.51 kg) and evening milk protein production (0.45 kg) and between evening milk fat content (4.41 %) and morning milk fat content (3.95 %). A significant difference (P < 0.05) was found between morning milk total solids content (12.62 %) and evening milk total solids content (12.07 %). No significant differences were found between morning (M) and evening (E) values of the remaining parameters: milk fat production (M 0.62 kg; E 0.60 kg), milk protein content (M 3.24 %; E 3.27 %), milk lactose content (M 4.78 %; E 4.86 %), milk solids-not-fat content (M 7.69 %; E 7.71 %), somatic cell count (M 80 000/1 mL; E 101 000/1 mL), titratable aci­di­ty (M 7.75 SH; E 7.64 SH), active acidity (M pH 6.58; E pH 6.61), rennet coagulation time (M 189 s.; E 191 s.), quality of curd (M 1.60 class; E 1.57 class).

scholarly journals Variation in the Protein Composition of Human Milk during Extended Lactation: A Narrative Review

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1124 ◽  
Author(s):  
Sergio Verd ◽  
Gemma Ginovart ◽  
Javier Calvo ◽  
Jaume Ponce-Taylor ◽  
Antoni Gaya
Keyword(s):  
Breast Milk ◽  
Human Milk ◽  
Protein Content ◽  
Milk Protein ◽  
Mammalian Species ◽  
Protein Composition ◽  
Developed Countries ◽  
First Year ◽  
Second Year ◽  
First Year Of Life

The aim of this review is to evaluate changes in protein parameters in the second year postpartum. There is considerable agreement among authors about the declining trend of human milk protein concentrations, but most research on protein content in breast milk focuses on the first year of life and comes from developed countries. Whereas this is the case for exclusive breastfeeding or for breastfeeding into the first year of life, the opposite applies to weaning or extended breastfeeding. This review is predominantly based on observational epidemiological evidence and on comparative research linking breast milk composition with cutting down on breastfeeding. Studies dating back several decades have shown an increase in the proportion of immunoglobulins, lactoferrin, and serum albumin during weaning. According to the limited data available, it seems likely that the regulation of milk protein composition during involution can be ascribed to alterations in tight junctions. In studies on humans and other mammalian species, offspring suckle more from mothers that produce more dilute milk and the increase in milk protein concentration is positively correlated to a decrease in suckling frequency during weaning. High milk protein contents were first reported in nonindustrial communities where breastfeeding is sustained the longest, but recent papers from urbanized communities have taken credit for rediscovering the increase in protein content of human milk that becomes evident with prolonged breastfeeding. This review presents an overview of the changes in breast milk protein parameters in the second year postpartum to enable milk banks’ practitioners to make informed nutritional decisions on preterm infants.

Prediction of milk protein content from elements of the Metabolisable Protein System and the effect of ether extract on prediction precision of models

1999 ◽  
Vol 1999 ◽  
pp. 206-206
Author(s):  
E. Smoler
Keyword(s):  
Protein Content ◽  
Predictive Models ◽  
Protein Concentration ◽  
Protein Production ◽  
Milk Protein ◽  
Ether Extract ◽  
Milk Protein Content ◽  
Negative Effect ◽  
Dietary Components ◽  
Protein Feed

Carbohydrates and proteins are the major dietary components supplying metabolisable protein for milk protein production. However, ether extract (EE) or fats have sometimes been related to negative effect on milk protein concentration (Spörndly, 1989; Smoler, 1996). Models for the prediction of milk protein concentration from combinations of carbohydrate and protein feed components have been constructed by Smoler (1996). In order to reduce collinearity among predictors and verify EE's negative effect on predictions of milk protein concentration, predictive models based on carbohydrate and protein dietary components were compared to those based on the same components but with the addition of EE.

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