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29 pages, 2179 KiB  
Review
Bovine Colostrum in Pediatric Nutrition and Health
by Ahmet Alperen Canbolat, Mauro Lombardo, Alicia del Carmen Mondragon, Jose Manuel Miranda López, Mikhael Bechelany and Sercan Karav
Nutrients 2024, 16(24), 4305; https://doi.org/10.3390/nu16244305 - 13 Dec 2024
Viewed by 629
Abstract
Bovine colostrum (BC), the first milk secreted by mammals after birth, is a trending alternative source for supplementing infants and children, offering benefits for gut and immune health. Its rich components, such as proteins, immunoglobulins, lactoferrin, and glycans, are used to fortify diets [...] Read more.
Bovine colostrum (BC), the first milk secreted by mammals after birth, is a trending alternative source for supplementing infants and children, offering benefits for gut and immune health. Its rich components, such as proteins, immunoglobulins, lactoferrin, and glycans, are used to fortify diets and support development. Preterm development is crucial, especially in the maturation of essential systems, and from 2010 to 2020, approximately 15% of all premature births occurred at less than 32 weeks of gestation worldwide. This review explores the composition, benefits, and effects of BC on general infants and children, along with preterm infants who require special care, and highlights its role in growth and development. BC is also associated with specific pediatric diseases, including necrotizing enterocolitis (NEC), infectious diarrhea, inflammatory bowel disease (IBD), short-bowel syndrome (SBS), neonatal sepsis, gastrointestinal and respiratory infections, and some minor conditions. This review also discusses the clinical trials regarding these specific conditions which are occasionally encountered in preterm infants. The anti-inflammatory, antimicrobial, immunomodulatory, and antiviral properties of BC are discussed, emphasizing its mechanisms of action. Clinical trials, particularly in humans, provide evidence supporting the inclusion of BC in formulas and diets, although precise standards for age, feeding time, and amounts are needed to ensure safety and efficacy. However, potential adverse effects, such as allergic reactions to caseins and immunoglobulin E, must be considered. More comprehensive clinical trials are necessary to expand the evidence on BC in infant feeding, and glycans, important components of BC, should be further studied for their synergistic effects on pediatric diseases. Ultimately, BC shows promise for pediatric health and should be incorporated into nutritional supplements with caution. Full article
(This article belongs to the Special Issue Advances in Infant and Pediatric Feeding and Nutrition)
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<p>The key components of bovine colostrum. The antimicrobial and immune-modulating properties, growth factors, and nutrients of BC are essential for infants. The relative concentrations of BC differ daily and transform into milk 7 days after parturition (created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 27 August 2024).</p>
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<p>This chart shows the mean (±) levels of total solid components present in BC and mature milk [<a href="#B2-nutrients-16-04305" class="html-bibr">2</a>]. The difference between BC and mature milk indicates that while BC supports immunity and growth in newborn infants, mature milk is prevalent in terms of its nutritional ingredients. (Created with <a href="http://meta-chart.com" target="_blank">meta-chart.com</a>, accessed on 24 August 2024).</p>
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<p>The hindering mechanism between <span class="html-italic">Enterobacteriaceae</span> and specific colostrum components. The figure illustrates the regulation of <span class="html-italic">Enterobacteriaceae</span> species in the infant gut, including pathogenic bacteria such as <span class="html-italic">E. coli</span> and <span class="html-italic">Salmonella</span>. Its bioactive components, particularly immunoglobulin A (IgA) and lactoferrin (LF), have strong antimicrobial properties. IgA binds to pathogenic bacteria, neutralizing them and preventing their attachment to the gut lining, whereas LF inhibits bacterial growth by sequestering iron, a nutrient essential for these bacteria. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, access date: 7 September 2024).</p>
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<p>The interaction between milk oligosaccharides and Bifidobacteria species. Human milk oligosaccharides (HMOs), such as those found in human or bovine milk and colostrum, play a critical role in promoting the growth of <span class="html-italic">Bifidobacterium</span> in the infant gut, acting as selective prebiotics. <span class="html-italic">Bifidobacterium</span> ferments these oligosaccharides, producing short-chain fatty acids (SCFAs) such as acetate and butyrate, which help maintain gut health by lowering the pH and inhibiting pathogenic bacteria. This interaction also enhances the gut barrier, preventing harmful microbes from entering the bloodstream and supporting immune system development.</p>
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<p>The biological effects of BC and its mechanisms of action. BC supports a healthy epithelium and administers immunoglobulins and growth factors to support immunity and induce cell proliferation. Milk oligosaccharides strengthen the gut barrier by promoting the development of the gut lining. The colostrum also contains immunoglobulins that help prime dendritic cells (DCs). Antibodies can bind to pathogens, making them easier for DCs to recognize, process, and present as antigens to T cells. This mechanism enhances the ability of the immune system to establish an effective response to infections in newborn infants. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 7 September 2024).</p>
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13 pages, 644 KiB  
Article
Biological Effect of Food for Special Medical Purposes (NutramilTM Complex) on Melanoma Cells in In Vitro Study
by Aneta Koronowicz, Katarzyna Krawczyk, Aleksandra Such, Ewelina Piasna-Słupecka, Mariola Drozdowska and Teresa Leszczyńska
Nutrients 2024, 16(24), 4287; https://doi.org/10.3390/nu16244287 - 12 Dec 2024
Viewed by 336
Abstract
Background/Objectives: Melanoma malignum is considered the most dangerous form of skin cancer, characterized by the exceptional resistance to many conventional chemotherapies. The aim of this study was to evaluate the effect of NutramilTM Complex (NC)—Food for Special Medical Purpose (FSMP), on two [...] Read more.
Background/Objectives: Melanoma malignum is considered the most dangerous form of skin cancer, characterized by the exceptional resistance to many conventional chemotherapies. The aim of this study was to evaluate the effect of NutramilTM Complex (NC)—Food for Special Medical Purpose (FSMP), on two types of melanoma cell lines, primary WM115 and malignant WM266-4. Methods: At 24 h after seeding, growth medium was replaced with a medium containing encoded treatments of NC or NC-CC (NutramilTM Complex without calcium caseinate) at various concentrations. Cells were treated for 24, 48, and 72 h. Results: Our results showed that NutramilTM Complex reduces proliferation of malignant melanoma WM266-4 cells but did not affect the proliferation of WM115 primary melanoma. This was followed by measured down-regulation of selected pro-survival proteins expression in WM266-4 cells, specifically ERK1/2, AKT-1, HSP27, Survivin, and TAK1. Interestingly, our results showed elevated levels of some pro-apoptotic proteins in both cell lines, including Bad, Smad2, p38MAPK, cleaved forms of Caspase-3/7, as well as cleaved PARP. Conclusions: Taken together, our results indicate that various melanoma cancer cell lines may respond in a different way to the same compound. They also suggest induction of apoptotic pathway by NutramilTM Complex as the most likely mechanism of its anticarcinogenic activity. Full article
(This article belongs to the Special Issue The Effect of Bioactive Compounds in Anti-inflammation)
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<p>Cytotoxicity of NutramilTM Complex and NutramilTM Complex without calcium caseinate in human melanoma cell lines: (<b>A</b>) WM-115, (<b>B</b>) WM-266-4, and (<b>C</b>) BJ normal fibroblast cell line. Cells were exposed to 1–10% concentrations of Nutramil<sup>TM</sup> Complex (NC) or Nutramil<sup>TM</sup> Complex without calcium caseinate (NC-CC) for 24, 48, and 72 h. Data are presented as mean ± SD for n = 15. Statistical significance was determined by a <span class="html-italic">t</span>-test; * denotes <span class="html-italic">p</span> &lt; 0.05 compared to the untreated control (UC).</p>
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<p>The effect of Nutramil<sup>TM</sup> Complex and Nutramil<sup>TM</sup> Complex without calcium caseinate on proliferation in human melanoma cell lines (WM-115, WM-266-4) and normal fibroblast cell line (BJ). Cells WM-115 (<b>A</b>), WM266-4 (<b>B</b>), and BJ (<b>C</b>) were treated with Nutramil<sup>TM</sup> Complex (NC) or Nutramil<sup>TM</sup> Complex without calcium caseinate (NC-CC) at concentration 0, 3, 4% for 24, 48, and 72 h. Data are presented as mean ± SD for n = 12, normalized to the untreated control (UC) set as 100%. Statistical significance was determined by a <span class="html-italic">t</span>-test; * denotes <span class="html-italic">p</span> &lt; 0.05 compared to UC.</p>
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<p>The effect of Nutramil<sup>TM</sup> Complex and Nutramil<sup>TM</sup> Complex without calcium caseinate on expression of stress and apoptosis proteins in melanoma cells (WM-115, WM-266-4). Cells WM-115 (<b>A</b>) and WM266-4 (<b>B</b>) were treated for 48 h with 4% of Nutramil <sup>TM</sup> Complex (NC) or Nutramil <sup>TM</sup> Complex without calcium caseinate (NC-CC). Staurosporine (ST; 1.5 μM concentration) was used as positive control. The results are presented as mean ± SD, normalized to the internal reference protein (α-Tubulin), with the untreated control (UC) set as 100% expression. Statistical significance was determined using a <span class="html-italic">t</span>-test; * indicates <span class="html-italic">p</span> &lt; 0.05 compared to UC. Gene symbols and names: P44/42 MAPK (ERK1/2) phosphorylation (Thr202/Tyr204), Akt-1 phosphorylation (Ser473), Bad phosphorylation (Ser136), HSP27 phosphorylation (Ser82), Smad2 phosphorylation (Ser465/467), p53 phosphorylation (Ser15), p38 MAPK phosphorylation (Thr180/Tyr182), SAPK/JNK phosphorylation (Thr183/Tyr185), PARP cleavage (Asp214), Caspase-3 cleavage (Asp175), Caspase-7 cleavage (Asp198), IkB total, Chk-1 phosphorylation (Ser345), Chk-2 phosphorylation (Thr68), IkBα phosphorylation (Ser32/36), eIF2a phosphorylation (Ser51), TAK1 phosphorylation (Ser412), Survivin total.</p>
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10 pages, 987 KiB  
Article
Assessment of Change in Enamel Color and Surface Hardness Following the Use of ICON Resin Infiltration and Remineralizing Agent: An In Vitro Study
by Naif Almosa, Khalid Alaman, Fares Alkhudairi, Muhannad Alhaqbani, Mohammed Alshalawi and Rahaf Zawawi
Materials 2024, 17(24), 6030; https://doi.org/10.3390/ma17246030 - 10 Dec 2024
Viewed by 377
Abstract
This study aimed to evaluate the change in enamel color and surface micro-hardness following the use of resin-infiltration concept material (ICON) and casein phosphopeptide-amorphous calcium fluoride phosphate (CPP-ACFP) remineralizing agent. Fifty-four extracted human third molars were collected and randomly divided into three groups: [...] Read more.
This study aimed to evaluate the change in enamel color and surface micro-hardness following the use of resin-infiltration concept material (ICON) and casein phosphopeptide-amorphous calcium fluoride phosphate (CPP-ACFP) remineralizing agent. Fifty-four extracted human third molars were collected and randomly divided into three groups: group A: control with no surface treatment; group B: treated using ICON; and group C: treated using CPP-ACFP. The change in color and micro-hardness of the enamel surface were measured using spectrophotometer and Vickers hardness number, respectively. The measurements were taken at three timelines; baseline (BL), after demineralization (DM), and after surface treatment (TX). The three groups showed no significant differences in enamel color change after demineralization (p < 0.05). However, after surface treatment in relation to the baseline, groups B and C had a significant increase in color change compared to the control group (p < 0.05), and group B showed a statistically significant increase in enamel color changes compared to group C. Additionally, all groups exhibited a significant reduction in enamel micro-hardness after demineralization in comparison to their baseline (p < 0.05). Group C showed a significant increase in micro-hardness after surface treatment compared to groups A and B (p < 0.05), while group B showed a significant decrease in enamel micro-hardness compared to groups A and C (p < 0.05). These findings suggest that teeth treated with CPP-amorphous calcium fluoride phosphate (CPP-ACFP) show a significant improvement in enamel surface color after demineralization compared to the teeth treated with resin infiltration (ICON) and the non-treated teeth. Additionally, enamel surfaces treated with CPP-ACFP show significant enamel hardness regaining, while resin infiltration (ICON) compromises enamel surface hardness. Full article
(This article belongs to the Special Issue Orthodontic Materials: Properties and Effectiveness of Use)
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<p>Experimental design (BL: Baseline, DM: After demineralization, and TX: After surface treatment A: Control, B: ICON, and C: CPP-ACFP).</p>
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<p>Bar chart showing color change (AE) means values at different times (BL: baseline, DM: after demineralization, and TX: after surface treatment. Error bars represent the ±SD. * level of significance <span class="html-italic">p</span> &lt; 0.05, ** level of significance <span class="html-italic">p</span> &lt; 0.01. (∆E1 (BL/DM) represents the color change in the specimen after demineralization in relation to their baseline, ∆E2 (DM/TX) represents the color change in the specimen after treatment in relation to after demineralization, and ∆Enet (BL/DM_DM/TX) represents the color change after treatment in relation to their bassline).</p>
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<p>Bar chart showing micro-hardness (VHN: Vicker’s hardness number) means values at different times (BL: baseline, DM: after demineralization, and TX: after surface treatment). Error bars represent the ±SD. * level of significance <span class="html-italic">p</span> &lt; 0.05, ** level of significance <span class="html-italic">p</span> &lt; 0.01.</p>
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16 pages, 2198 KiB  
Article
Inhibitory Effects of Gliadin Hydrolysates on BACE1 Expression and APP Processing to Prevent Aβ Aggregation
by Chin-Yu Lin, Cheng-Hong Hsieh, Pei-Yu Lai, Ching-Wei Huang, Yung-Hui Chung, Shang-Ming Huang and Kuo-Chiang Hsu
Int. J. Mol. Sci. 2024, 25(23), 13212; https://doi.org/10.3390/ijms252313212 - 9 Dec 2024
Viewed by 437
Abstract
Alzheimer’s disease (AD), a leading neurodegenerative disorder, is closely associated with the accumulation of amyloid-beta (Aβ) peptides in the brain. The enzyme β-secretase (BACE1), pivotal in Aβ production, represents a promising therapeutic target for AD. While bioactive peptides derived from food protein hydrolysates [...] Read more.
Alzheimer’s disease (AD), a leading neurodegenerative disorder, is closely associated with the accumulation of amyloid-beta (Aβ) peptides in the brain. The enzyme β-secretase (BACE1), pivotal in Aβ production, represents a promising therapeutic target for AD. While bioactive peptides derived from food protein hydrolysates have neuroprotective properties, their inhibitory effects on BACE1 remain largely unexplored. In this study, we evaluated the inhibitory potential of protein hydrolysates from gliadin, whey, and casein proteins prepared using bromelain, papain, and thermolysin. Through in vitro and cellular assays, bromelain-hydrolyzed gliadin (G-Bro) emerged as the most potent BACE1 inhibitor, with an IC50 of 0.408 mg/mL. G-Bro significantly reduced BACE1 expression and amyloid precursor protein (APP) processing in N2a/PS/APP cell cultures, suggesting its potential to attenuate Aβ aggregation. The unique peptide profile of G-Bro likely contributes to its inhibitory effect, with proline residues disrupting β-sheets, lysine residues introducing positive charges that hinder aggregation, hydrophobic residues stabilizing binding interactions, and glutamine residues enhancing solubility and stability. These findings highlight gliadin hydrolysates, particularly G-Bro, as potential natural BACE1 inhibitors with applications in dietary interventions for AD prevention. However, further studies are warranted to elucidate specific peptide interactions and their bioactivity in neural pathways to better understand their therapeutic potential. Full article
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<p>Degree of hydrolysis of proteins hydrolyzed by (<b>a</b>) papain, (<b>b</b>) bromelain, and (<b>c</b>) thermolysin.</p>
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<p>Effect of G-Bro on the viability of N2a/PS/APP cells. Data are expressed as mean ± SD of three independent experiments. Statistical analyses were performed using one-way ANOVA test. Non-treated cells were considered as control. ** <span class="html-italic">p</span> &lt; 0.01 vs. control.</p>
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<p>Effect of G-Bro on BACE1 expression in N2a/PS/APP cells. Data are expressed as mean ± SD of three independent experiments. Statistical analyses were performed using one-way ANOVA test. Band intensity was evaluated with Image J Version 1.54. Non-treated cells were considered as control. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. control.</p>
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<p>Effect of G-Bro on sAPP production in N2a/PS/APP cells. Data are expressed as mean ± SD of three independent experiments. Statistical analyses were performed using one-way ANOVA test. Non-treated cells were considered as control. * <span class="html-italic">p</span> &lt; 0.05 vs. control.</p>
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<p>Effect of G-Bro on Aβ aggregate formation in N2a/PS/APP cells. Data are expressed as mean ± SD of three independent experiments. Statistical analyses were performed using one-way ANOVA test. Non-treated cells were considered as control. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. control.</p>
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<p>The overall framework of the study.</p>
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14 pages, 2230 KiB  
Article
Comparative Analysis of Rapid and Less Invasive Methods for A2A2 Dairy Cattle Genotyping and A2 Milk Purity Detection
by Leandra Oliveira Xavier Albiero, Rafaela Ansiliero and Aniela Pinto Kempka
Dairy 2024, 5(4), 786-799; https://doi.org/10.3390/dairy5040057 - 9 Dec 2024
Viewed by 500
Abstract
In this study, two methods for assessing the purity of A2 fermented milk and β-casein genotypes in dairy cows were examined. The need for rapid and precise methods for herd screening and A2 milk quality control justified this study. Accordingly, an ELISA test [...] Read more.
In this study, two methods for assessing the purity of A2 fermented milk and β-casein genotypes in dairy cows were examined. The need for rapid and precise methods for herd screening and A2 milk quality control justified this study. Accordingly, an ELISA test was developed to identify β-casein A1 in fermented milk, and a commercial Lateral Flow Immunoassay (LFIA) was evaluated to determine A2A2 genotypes and the purity of A2 milk. The results demonstrated 100% sensitivity and specificity of the ELISA test in identifying β-casein A1. The LFIA test successfully identified A2A2 genotypes and confirmed the purity of A2 milk, with a minimum detectable contamination of 5% for raw milk and 10% for fermented milk. Both tests exhibited 100% sensitivity and specificity, resulting in positive and negative predictive values of 100%. The positive likelihood ratio was infinite, while the negative was zero, indicating a precise and reliable test with no false diagnoses. Compared to traditional genotyping, these methods proved to be more practical and showed potential for large-scale screening. It was concluded that ELISA and LFIA are valuable tools for ensuring the quality and authenticity of A2 milk, meeting the demands of producers and consumers for safe and healthy dairy products. Full article
(This article belongs to the Section Dairy Systems Biology)
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Figure 1
<p>Raw milk samples had their β-casein phenotypes analyzed by ELISA test: (<b>a</b>) absorbance values (mean ± SD) of raw milk samples obtained by the ELISA test designed to detect A1 and A2 β-casein, wherein different lowercase letters indicate significant difference (<span class="html-italic">p</span> ≤ 0.05) by Dunn’s test; and (<b>b</b>) ELISA absorbance histogram.</p>
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<p>Results of the LFIA test from the comparison stage between tests to identify A2A2/raw milk cows.</p>
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<p>Absorbance values (mean ± SD) of A2A2 raw milk samples contaminated with A1A1 raw milk, obtained by the ELISA test designed to detect β-casein A1 and β-casein A2. Note: different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) by Tukey’s test.</p>
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<p>Results of the LFIA test for the detection of A2 β-casein in A2A2 milk contaminated with A1A1 milk. <sup>1</sup> % of A1A1 raw milk added to A2A2 raw milk.</p>
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<p>Absorbance values (mean ± SD) of A2 fermented milk samples contaminated with A1 fermented milk, obtained by the ELISA test designed to detect β-casein A1 and β-casein A2. Note: different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) by Tukey’s test.</p>
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<p>Results of the LFIA test for the detection of A2 β-casein in A2 fermented milk contaminated with A1 fermented milk. <sup>1</sup> % of A1 fermented milk added to A2 fermented milk.</p>
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14 pages, 2047 KiB  
Article
Phenylalanine Regulates Milk Protein Synthesis via LAT1–mTOR Signaling Pathways in Bovine Mammary Epithelial Cells
by Long Guo, Chen Zheng, Jiao Chen, Ruifang Du and Fei Li
Int. J. Mol. Sci. 2024, 25(23), 13135; https://doi.org/10.3390/ijms252313135 - 6 Dec 2024
Viewed by 384
Abstract
Phenylalanine (Phe) is a potentially limiting amino acid for lactating cows. The mechanism by which Phe regulates milk protein synthesis remains unclear. The present study elucidates the mechanisms by which phenylalanine affects milk protein synthesis, amino acid utilization, and related signaling pathways in [...] Read more.
Phenylalanine (Phe) is a potentially limiting amino acid for lactating cows. The mechanism by which Phe regulates milk protein synthesis remains unclear. The present study elucidates the mechanisms by which phenylalanine affects milk protein synthesis, amino acid utilization, and related signaling pathways in bovine mammary epithelial cells (BMECs). The BMECs were treated with five concentrations (0, 0.22, 0.44, 0.88, 1.76 mM, and serum free). Rapamycin inhibitors and RNA interference (RNAi) were used to inhibit the phosphorylation of the mammalian target of rapamycin (mTOR) signaling pathway and the expression of relevant amino acid transporters, respectively. The results showed that 4×Phe (0.88 mM) significantly increased (p < 0.05) both the mRNA and protein expression of α-casein (CSN1S1), β-casein (CSN2), and κ-casein (CSN3), as well as L-type amino acid transporter-1 (LAT1) mRNA expression. Protein expression and modification assays of mTOR-related proteins showed that 4×Phe could increase (p < 0.05) the expression of α-casein and eukaryotic initiation factor 4E-binding protein-1 (4EBP1) and tended to increase the expression of ribosomal protein S6 protein kinase (S6K1, p = 0.054). The general control nonderepressible 2 (GCN2) signaling pathway factor, eukaryotic initiation factor 2 (eIF2α), was downregulated by 4×Phe treatment (p < 0.05). The rapamycin inhibition test showed that Phe regulated casein synthesis via the mTOR signaling pathway. RNAi experiments showed that LAT1 mediated the entry of Phe into cells. Moreover, 4×Phe treatment tended to decrease (0.05 < p < 0.10) the consumption of valine, leucine, histidine, tyrosine, cysteine, alanine, asparagine, and serine in the medium. Collectively, phenylalanine enhanced α-casein synthesis by regulating the phosphorylation of 4EBP1 and eIF2α and promoting the formation of the mTOR-centered casein translation initiation complex. Full article
(This article belongs to the Special Issue Essential Molecules in Life: Regulation, Defense, and Longevity)
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Figure 1
<p>Cell viability and intracellular phenylalanine hydroxylase activity in bovine epithelial cells treated with various concentrations of phenylalanine. (<b>A</b>) represents the cell viability. (<b>B</b>) represents intracellular phenylalanine hydroxylase (PHA) activity. The error bars represent the SDs (<span class="html-italic">n</span> = 3).</p>
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<p>The relative expression of casein mRNA and proteins in bovine mammary epithelial cells treated with various concentrations of phenylalanine. (<b>A</b>–<b>C</b>) represent the mRNA expression of <span class="html-italic">CSN1S1</span>, <span class="html-italic">CSN2</span>, and <span class="html-italic">CSN3</span>, respectively. (<b>D</b>,<b>E</b>) represent the protein expression of α-casein and β-casein. The error bars represent the SDs (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) (<span class="html-italic">CSN1S1</span>, α-casein; <span class="html-italic">CSN2</span>, β-casein; <span class="html-italic">CSN3</span>, κ-casein).</p>
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<p>The relative expression of amino acid transporter mRNAs in bovine mammary epithelial cells treated with various concentrations of phenylalanine. (<b>A</b>) represents <span class="html-italic">LAT1</span>, and (<b>B</b>) represents <span class="html-italic">ASCT2</span>. The error bars represent the SDs (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) (<span class="html-italic">LAT1</span>, L-type amino acid transporter 1; <span class="html-italic">ASCT2</span>, sodium-dependent neutral amino acid transporter type 2).</p>
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<p>The phosphorylation levels of mTOR and GCN2 signaling pathway factors in bovine mammary epithelial cells treated with various concentrations of phenylalanine. (<b>A</b>–<b>C</b>) represent the phosphorylation levels of S6K, 4EBP1, and eIF2α, respectively. The error bars represent the SDs (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) (S6K1, ribosomal protein S6 protein kinase; 4EBP1, eukaryotic initiation factor 4E-binding protein 1; eIF2α, eukaryotic initiation factor 2α).</p>
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<p>Inhibition of mTOR downregulated S6K1 and 4EBP1 phosphorylation and casein synthesis. (<b>A</b>,<b>B</b>) represent the protein synthesis of α-casein and β-casein, respectively. (<b>C</b>,<b>D</b>) show the phosphorylation level of S6K1 and 4EBP1. The error bars represent the SDs (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) (S6K1, ribosomal protein S6 protein kinase; 4EBP1, eukaryotic initiation factor 4E-binding protein 1).</p>
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<p>Inhibition of LAT1 downregulated S6K1 and 4EBP1 phosphorylation and casein synthesis. (<b>A</b>,<b>B</b>) represent the synthesis of α-casein and β-casein, respectively. (<b>C</b>) represents the expression of LAT1. (<b>D</b>,<b>E</b>) show the phosphorylation level of S6K1 and 4EBP1, respectively. The error bars represent the SDs (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) (LAT1, L-type amino acid transporter 1; S6K1, ribosomal protein S6 protein kinase; 4EBP1, eukaryotic initiation factor 4E-binding protein 1).</p>
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27 pages, 1017 KiB  
Review
Methods for Determining Polycyclic Aromatic Hydrocarbons (PAHs) in Milk: A Review
by Klara Żbik, Elżbieta Górska-Horczyczak, Magdalena Zalewska, Agnieszka Wierzbicka and Andrzej Półtorak
Appl. Sci. 2024, 14(23), 11387; https://doi.org/10.3390/app142311387 - 6 Dec 2024
Viewed by 537
Abstract
This review aims to compile and present information on polycyclic aromatic hydrocarbons (PAHs) in milk, their effects on human health, relevant legal regulations, and methods for their detection. PAHs are hazardous environmental pollutants that can accumulate in milk due to their lipophilicity and [...] Read more.
This review aims to compile and present information on polycyclic aromatic hydrocarbons (PAHs) in milk, their effects on human health, relevant legal regulations, and methods for their detection. PAHs are hazardous environmental pollutants that can accumulate in milk due to their lipophilicity and feed, water, and grass contamination. Also, high-temperature processing in the milk industry can contribute to their formation. PAHs are recognized for their carcinogenic, mutagenic, and teratogenic properties, posing significant risks to human health. Milk presents a unique analytical challenge as a complex matrix; the fats where hydrophobic PAHs tend to accumulate are “trapped” within the membranes of casein micelles. This complexity makes the extraction and analysis of PAHs more demanding than other food matrices. Developments in chromatographic techniques provide effective methods for detecting PAHs in milk, ensuring adherence to regulatory standards. The proper planning of research and the use of these techniques will lead to accurate results. This review focuses specifically on methods for extracting and isolating PAHs from milk, and instrumental methods for their detection and quantification. Such a review may be valuable for researchers looking for methods to analyze PAHs in milk and dairy products. Full article
(This article belongs to the Special Issue Feature Review Papers in Section ‘Food Science and Technology')
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<p>PAH sources in milk [<a href="#B40-applsci-14-11387" class="html-bibr">40</a>].</p>
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<p>Structures of PAHs and regional breakdown of special concern [<a href="#B40-applsci-14-11387" class="html-bibr">40</a>,<a href="#B64-applsci-14-11387" class="html-bibr">64</a>].</p>
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<p>Selecting a method for determining PAHs in milk and milk products. QuEChERS—SPE quick, easy, cheap, effective, rugged, and safe; HPLC—high-performance liquid chromatography; GC—gas chromatography; FLD—fluorescence detector; UV—ultraviolet detector; HS—HeadSpace; MS—mass spectrometer detector.</p>
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16 pages, 2742 KiB  
Article
Screening, Identification, and Optimization of Enzyme Production for Bacteria with High Efficiency of Bovine Blood Protein Degradation from Slaughterhouses
by Xianying Ma, Yantong Li, Peer Mohamed Abdul, Gongtao Ding, Abdullah Amru Indera Luthfi, Abbas Ismail and Setyo Budi Kurniawan
Water 2024, 16(23), 3508; https://doi.org/10.3390/w16233508 - 5 Dec 2024
Viewed by 556
Abstract
Blood waste originating from slaughterhouse activities in China is considered to be massive, and improper handling may cause epidemic diseases and environmental pollution. This research aimed to obtain a potential bacterial strain for blood protein degradation by isolating indigenous bacteria from slaughterhouses. Isolation [...] Read more.
Blood waste originating from slaughterhouse activities in China is considered to be massive, and improper handling may cause epidemic diseases and environmental pollution. This research aimed to obtain a potential bacterial strain for blood protein degradation by isolating indigenous bacteria from slaughterhouses. Isolation was carried out by using dilution plate coating, while blood agar and casein plates were used to screen potential strains. Morphological, physiological, and biochemical characterizations, as well as 16S rRNA sequencing, were performed to identify the selected strain. The optimization of enzyme production was performed by using the Plackett–Burman test and response surface methodology. A strain coded NwMCC01910137 was isolated and screened to effectively degrade bovine blood protein and was identified as Bacillus subtilis. The optimum culture conditions for enzyme production included a fermentation temperature of 37.4 °C, an initial pH of 7.7, a soybean meal powder addition amount of 3.00% (w/v), a glucose level of 3.8% (w/v), a NaCl level of 0.3 g/L, a phosphate concentration of 2.5 g/L, an inoculum size of 2.5 g/L (4%), and a fermentation time of 48 h. Under the optimum condition, the strain showed enzyme activity of 166.83 U/mL. Hence, the isolated B. subtilis showed good activity in bovine blood protein degradation and has good application potential for slaughterhouse waste processing. Full article
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<p>Results of preliminary screening of strains.</p>
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<p>Transparent circles of strain NwMCC01910137 on blood plate and casein plate.</p>
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<p>Strain re-screening results.</p>
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<p>The phylogenetic tree of the NwMCC01910137 strain established based on the <span class="html-italic">16S rRNA</span> gene sequence.</p>
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<p>The single-factor optimization of enzyme production conditions of strain NwMCC01910137. (<b>A</b>) Carbon source species selection; (<b>B</b>) nitrogen source species selection; (<b>C</b>) metal ion species selection; (<b>D</b>) carbon source concentration; (<b>E</b>) nitrogen source concentration; (<b>F</b>) metal ion concentration; (<b>G</b>) phosphate selection; (<b>H</b>) inoculum amount selection; (<b>I</b>) initial pH selection; (<b>J</b>) fermentation temperature selection; (<b>K</b>) fermentation time selection.</p>
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<p>The single-factor optimization of enzyme production conditions of strain NwMCC01910137. (<b>A</b>) Carbon source species selection; (<b>B</b>) nitrogen source species selection; (<b>C</b>) metal ion species selection; (<b>D</b>) carbon source concentration; (<b>E</b>) nitrogen source concentration; (<b>F</b>) metal ion concentration; (<b>G</b>) phosphate selection; (<b>H</b>) inoculum amount selection; (<b>I</b>) initial pH selection; (<b>J</b>) fermentation temperature selection; (<b>K</b>) fermentation time selection.</p>
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<p>Placket–Burman test analysis of variance Pareto chart (A = X<sub>1</sub>, B = X<sub>2</sub>, C = X<sub>3</sub>, D = X<sub>4</sub>, E = X<sub>5</sub>, F = X<sub>6</sub>, and G = X<sub>7</sub>).</p>
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<p>Response surface of protease activity of two-factor interaction: (<b>A</b>) temperature vs. pH, (<b>B</b>) temperature vs. soybean meal, and (<b>C</b>) pH vs. soybean meal.</p>
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17 pages, 5058 KiB  
Article
Investigation of the Interaction Between Angiotensin-Converting Enzyme (ACE) and ACE-Inhibitory Tripeptide from Casein
by Cuicui Yang, Tianzhao Xie, Mengmeng Cai, Xiaoting Xu, Muzijun Li, Pengru Liu and Xiongdiao Lan
Int. J. Mol. Sci. 2024, 25(23), 13021; https://doi.org/10.3390/ijms252313021 - 4 Dec 2024
Viewed by 448
Abstract
Angiotensin-converting enzyme (ACE) inhibitory peptides exhibit antihypertensive effects by inhibiting ACE activity, and the study of the interaction between ACEs and inhibitory peptides is important for exploring new therapeutic strategies. In this study, the ACE-inhibitory peptide isolated from casein hydrolysate with the amino [...] Read more.
Angiotensin-converting enzyme (ACE) inhibitory peptides exhibit antihypertensive effects by inhibiting ACE activity, and the study of the interaction between ACEs and inhibitory peptides is important for exploring new therapeutic strategies. In this study, the ACE-inhibitory peptide isolated from casein hydrolysate with the amino acid sequence Leu–Leu–Tyr (LLY) exhibited high ACE-inhibitory activity and stability, which holds significant implications for biochemistry and pharmaceutical applications. Furthermore, systematic investigations were conducted on the interaction between ACE and LLY through various approaches. The Lineweaver–Burk plot indicated the non-competitive inhibition pattern of LLY, suggesting that it binds to the enzyme at the non-active site, and the results were further validated by a molecular docking study. Additionally, multispectral experiments and atomic force microscopy were conducted to further elucidate the underlying mechanism of peptide activity. The findings indicated that LLY could induce a conformational change in ACE, thereby inhibiting its activity. This study contributes to a deeper understanding of the mechanism of action of ACE-inhibitory peptides and bears important significance for drug development in hypertension. Full article
(This article belongs to the Special Issue Natural Products and Synthetic Compounds for Drug Development 2.0)
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<p>The ACE inhibitor ratio at different concentrations of ACE-inhibitory peptides. (<b>a</b>) LLY and (<b>b</b>) QEPVLGPVR.</p>
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<p>Stability analysis of ACE-inhibitory peptide LLY. (<b>a</b>) Thermal stability; (<b>b</b>) pH stability; (<b>c</b>) different metal ion stability; (<b>d</b>) stability at different glucose concentrations; (<b>e</b>) stability at different salt concentrations. Different superscripts note the significant differences (<span class="html-italic">p</span> &lt; 0.05). All results are average ± SD from three determinations.</p>
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<p>Lineweaver−Burk plots of the reactions of ACE in the presence of LLY.</p>
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<p>Docking simulation of LLY binding to ACE. (<b>a</b>) Docking simulation of LLY (green) binding to ACE (purple). A zinc ion (red) was present in the active site of ACE; (<b>b</b>) interaction between LLY (shown as green sticks) and the residues of ACE (shown as red lines) is shown.</p>
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<p>The UV spectra of ACE-inhibitory peptide LLY binding to ACE.</p>
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<p>Fluorescence spectra of ACE-inhibitory peptide LLY binding to ACE.</p>
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<p>The 3D fluorescence spectra of ACE-inhibitory peptide LLY interacting with ACE. (<b>a</b>) ACE; (<b>b</b>) ACE + LLY.</p>
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<p>The secondary structure of ACE affected by LLY. (<b>a</b>) CD spectrum; (<b>b</b>) percentage of ACE secondary structures in the absence and presence of LLY.</p>
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<p>AFM results of ACE-inhibitory peptide LLY interacting with ACE. (<b>a</b>) AFM-2D image of ACE; (<b>b</b>) AFM-3D image of ACE; (<b>c</b>) AFM-2D image of LLY–ACE; (<b>d</b>) AFM-3D image of LLY–ACE.</p>
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12 pages, 1653 KiB  
Article
Amino Acid Composition of Dried Bovine Dairy Powders from a Range of Product Streams
by Simon R. Gilmour, Stephen E. Holroyd, Maher D. Fuad, Dave Elgar and Aaron C. Fanning
Foods 2024, 13(23), 3901; https://doi.org/10.3390/foods13233901 - 3 Dec 2024
Viewed by 530
Abstract
The amino acid (AA) content of multiple samples of various dairy powders was determined, providing a comprehensive evaluation of the differences in AA profiles attributable to distinct manufacturing processes. Products examined included whole milk powder (WMP), skim milk powder (SMP), cheese whey protein [...] Read more.
The amino acid (AA) content of multiple samples of various dairy powders was determined, providing a comprehensive evaluation of the differences in AA profiles attributable to distinct manufacturing processes. Products examined included whole milk powder (WMP), skim milk powder (SMP), cheese whey protein concentrate (WPC-C), lactic acid casein whey protein concentrate (WPC-L), high-fat whey protein concentrate (WPC-HF), hydrolyzed whey protein concentrate (WPH), whey protein isolate (WPI), and demineralized whey protein (D90). WMP and SMP exhibited broadly similar AA profiles, with minor differences likely due to the minimal milk fat protein content, which is nearly absent from SMP. Comparative analysis of WPC-C and WPC-L indicated higher levels of threonine, serine, glutamic acid, and proline in WPC-C but lower levels of tyrosine, phenylalanine, and tryptophan, attributed to the different methods of separation from casein proteins. WPI and WPC-HF originate from similar sweet whey streams but follow divergent processing methods; consequent on this were variations in the levels of all AAs except histidine. The nanofiltration step in D90 production retains its non-protein nitrogen content and affects its AA profile; consequently, D90 consistently exhibited lower AA levels than WPC-C. These findings underscore the significant impact of manufacturing processes on dairy powder AA composition. Full article
(This article belongs to the Section Dairy)
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<p>Amino acid profile of hydrolyzed whey protein concentrate (WPH).</p>
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<p>Amino acid profiles of whole milk powder (WMP) (<span style="color:#D0CECE">■</span>) and skim milk powder (SMP) (<span style="color:gray">■</span>). * Indicates statistical difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Amino acid profiles of cheese whey protein concentrate (WPC-C) (<span style="color:#D0CECE">■</span>) and lactic acid casein whey protein concentrate (WPC-L) (<span style="color:gray">■</span>). * Indicates statistical difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Amino acid profiles of whey protein isolate (WPI) (<span style="color:#D0CECE">■</span>) and high-fat whey protein concentrate (WPC-HF) (<span style="color:gray">■</span>). * Indicates statistical difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Amino acid profiles of demineralized whey (D90) (<span style="color:#D0CECE">■</span>) and cheese whey protein concentrate (WPC-C) (<span style="color:gray">■</span>). * Indicates statistical difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Amino acid profiles of demineralized whey (D90) (<span style="color:#D0CECE">■</span>) and cheese whey protein concentrate (WPC-C) (<span style="color:gray">■</span>) as a percentage of total amino acid content. * Indicates statistical difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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18 pages, 1999 KiB  
Article
Low Demineralized Caseins to Replace Sodium Caseinate for Application in Whipped Creams
by Khadija Florence Dabo, Christine Chèné, Sylvain Prevost, Anne-Laure Fameau and Romdhane Karoui
Foods 2024, 13(23), 3897; https://doi.org/10.3390/foods13233897 - 3 Dec 2024
Viewed by 491
Abstract
Caseinate is commonly used in the dairy industry for its stabilizing properties. Its functionalities are largely due to its manufacturing process involving a high level of demineralization that induces casein precipitation. To address this, the researchers are looking for alternatives to respond to [...] Read more.
Caseinate is commonly used in the dairy industry for its stabilizing properties. Its functionalities are largely due to its manufacturing process involving a high level of demineralization that induces casein precipitation. To address this, the researchers are looking for alternatives to respond to consumer demands for high-quality ingredients and increase efficiency. In the present study, we explored low demineralization (0–43%) that preserves the casein integrity to produce caseins that can substitute caseinate in whipping creams (WC). The physicochemical, structural, and functional properties of these caseins were evaluated to assess their viability as surface-active agents in blend-fat whipping cream. The results showed that a demineralization level over 43% significantly impacts the size, secondary structures (β-sheets, β-turns, and α-helices particularly), and surface hydrophobicity that favorably impact the emulsifying properties but diminish the foam stability. WC made with caseins demineralized at 0 and 13% provided stable foam, with the lowest emulsion stability at 0% of demineralization. Using demineralized caseins at 13% offers a sustainable alternative to caseinate in food products requiring stable foams as WCs without significantly altering other desired functionalities such as overrun and emulsion stability. Further research studies into optimizing the demineralization process and exploring applications in other food matrices are suggested. Full article
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<p>Turbidity measurements in casein solutions measured at 600 nm.</p>
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<p>Particle size distribution in nanometers as a function of intensity (%) for different demineralization levels varying from 0 to 100% after centrifugation and filtration.</p>
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<p>SANS scattering profiles of caseins with different demineralization levels. The scattering curves were shifted vertically for clarity.</p>
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<p>Fat globule size (µm) of whipping creams produced with demineralized caseins (0 to 100%): (<b>a</b>) without SDS and (<b>b</b>) with SDS.</p>
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<p>Viscosity of whipping creams produced with different demineralized caseins.</p>
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<p>Viscosity of casein emulsions before and after sterilization.</p>
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<p>Appearance of foams produced with WC containing demineralized caseins from 0 to 100% just after foaming and 24 h later.</p>
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17 pages, 3450 KiB  
Article
Soy Protein and Safflower-Seed Oil Attenuate Inflammation and Immune Dysfunction in Rats with Hyperuricemia
by Yi-Fang Liu, Yi-Chen Wu, Yu Yang and Hui-Chen Lo
Int. J. Mol. Sci. 2024, 25(23), 12977; https://doi.org/10.3390/ijms252312977 - 3 Dec 2024
Viewed by 411
Abstract
A plant-based diet is considered a promising approach for managing hyperuricemia (HUA). This study examined the effects of soy protein and plant-based oils on HUA-induced inflammation and immune dysfunction. Male Wistar rats, induced with HUA using oxonic acid and uric acid (UA), were [...] Read more.
A plant-based diet is considered a promising approach for managing hyperuricemia (HUA). This study examined the effects of soy protein and plant-based oils on HUA-induced inflammation and immune dysfunction. Male Wistar rats, induced with HUA using oxonic acid and uric acid (UA), were fed casein or soy protein with palm or safflower oil (2 × 2 factorial design) for 8 weeks. HUA rats had lower serum albumin and T cell percentages in peripheral blood leukocytes (PBLs) and splenocytes, along with increased leukocyte counts and spleen weights, compared to healthy rats (p < 0.05). Soy protein improved HUA-induced reductions in albumin, while safflower-seed oil ameliorated reductions in albumin, plasma interleukin (IL)-4, and T-suppressor splenocytes, and mitigated elevated serum UA, plasma IL-6, and B leukocytes (two-way ANOVA, p < 0.05). In PBL, soy protein alleviated HUA-induced decreases in TNF-α, casein and palm oil increased IL-6, and casein further reduced IFN-γ production. Under Con A stimulation, casein and safflower-seed oil alleviated decreases in IL-6 and IL-10, respectively, while under LPS stimulation, casein further increased TNF-α production. In splenocytes, soy protein and safflower-seed oil reduced HUA-induced increases in TNF-α and increased IL-10, and safflower-seed oil increased IL-6 production. Under Con A stimulation, soy protein and safflower-seed oil reduced TNF-α and increased IL-10 production in splenocytes. The findings suggest that soy protein and safflower-seed oil may counteract HUA-related inflammation, alleviate monocyte activation, and enhance Th2 immune response in HUA. A plant-based diet rich in soy protein and safflower-seed oil may help manage HUA and associated inflammation and immune dysfunction. Full article
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<p>Body weight gain is calculated as the difference between body weight at week 8 and week 0. Values are means ± SEM, <span class="html-italic">n</span> = 8 per group. *, HUA vs. CON; †, UCP, UCS, USP, and USS vs. HUA (one-way ANOVA with least significant difference, <span class="html-italic">p</span> &lt; 0.05). Values of a two-way ANOVA are <span class="html-italic">p</span>-values for main effects and interactions of protein (casein or soy protein) and oil (palm or safflower-seed oil) in the UCP, UCS, USP, and USS groups. NS, not significant.</p>
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<p>Plasma cytokine concentrations. TNF-α (<b>A</b>), IFN-γ (<b>B</b>), IL-4 (<b>C</b>), IL-6 (<b>D</b>), and IL-10 (<b>E</b>). Values are means ± SEM, <span class="html-italic">n</span> = 8 per group. *, HUA vs. CON; †, UCP, UCS, USP, and USS vs. HUA (one-way ANOVA with least significant difference, <span class="html-italic">p</span> &lt; 0.05). Values of a two-way ANOVA are <span class="html-italic">p</span>-values for main effects and interactions of protein (casein or soy protein) and oil (palm or safflower-seed oil) in the UCP, UCS, USP, and USS groups. NS, not significant.</p>
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<p>Cell proliferation of splenocytes. Splenocytes were cultured with RPMI 1640 medium and simulated with Con A (<b>A</b>) or LPS (<b>B</b>). The stimulation index was calculated from OD values (at 490 nm) of splenocytes cultured with Con A or LPS divided by those with RPMI 1640 medium and multiplied by 100. Values are means ± SEM, <span class="html-italic">n</span> = 8 per group. †, UCP, UCS, USP, and USS vs. HUA (one-way ANOVA with least significant difference, <span class="html-italic">p</span> &lt; 0.05). Values of a two-way ANOVA are <span class="html-italic">p</span>-values for main effects and interactions of protein (casein or soy protein) and oil (palm or safflower-seed oil) in the UCP, UCS, USP, and USS groups. NS, not significant.</p>
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<p>Cytokine production of leukocytes. TNF-α (<b>A</b>), IFN-γ (<b>B</b>), IL-6 (<b>C</b>), IL-4 (<b>D</b>), and IL-10 (<b>E</b>) productions from leukocytes cultured in RPMI-1640 medium, either unstimulated or stimulated with Con A and LPS. Values are means ± SEM, <span class="html-italic">n</span> = 8 per group. *, HUA vs. CON; †, UCP, UCS, USP, and USS vs. HUA (one-way ANOVA with least significant difference, <span class="html-italic">p</span> &lt; 0.05). Values of a two-way ANOVA are <span class="html-italic">p</span>-values for main effects and interactions of protein (casein or soy protein) and oil (palm or safflower-seed oil) in the UCP, UCS, USP, and USS groups. NS, not significant.</p>
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<p>Cytokine production of splenocytes. TNF-α (<b>A</b>), IFN-γ (<b>B</b>), IL-6 (<b>C</b>), IL-4 (<b>D</b>), and IL-10 (<b>E</b>) productions from leukocytes cultured in RPMI-1640 medium, either unstimulated or stimulated with Con A and LPS. Values are means ± SEM, <span class="html-italic">n</span> = 8 per group. *, HUA vs. CON; †, UCP, UCS, USP, and USS vs. HUA (one-way ANOVA with least significant difference, <span class="html-italic">p</span> &lt; 0.05). Values of a two-way ANOVA are <span class="html-italic">p</span>-values for main effects and interactions of protein (casein or soy protein) and oil (palm or safflower-seed oil) in the UCP, UCS, USP, and USS groups. NS, not significant.</p>
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<p>Flow cytometry analysis of lymphocyte populations. (<b>Left</b> panel) Forward scatter (FSC) versus side scatter (SSC) dot plot showing ungated cell populations. The gated population (region A, highlighted in red) represents lymphocyte-like cells based on size and granularity characteristics. (<b>Right</b> panel) Dot plot of CD3-FITC versus CD4-PE fluorescence intensities, gated on the population from region A. Quadrants H1, H2, H3, and H4 indicate subsets of cells expressing specific markers: H1 (CD3−CD4+), H2 (CD3+CD4+), H3 (CD3−CD4−), and H4 (CD3+CD4−). Percentages reflect the proportion of events within each quadrant relative to the gated population.</p>
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<p>Schematic summarizing the effects of plant-based diet incorporating soy protein and safflower-seed oil on immune responses in HUA rats.</p>
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15 pages, 1239 KiB  
Article
Polymorphism of the CSN3 3’UTR in Dairy Cows Causes Changes in bta-miR-708 Binding Ability and κ-Casein Expression
by Wenqing Li, Xiaoyang Wang, Pinhui Wu, Xiuyang Xu, Wei Liu, Guozhi Zhang, Liyang Zhang, Tong Fu and Tengyun Gao
Animals 2024, 14(23), 3462; https://doi.org/10.3390/ani14233462 - 29 Nov 2024
Viewed by 520
Abstract
κ-casein (CSN3) polymorphisms are closely related to productive performance and dairy processing performance. In this study, CSN3 3’UTR polymorphisms in Chinese Holstein cows (n = 50) and the effects of these polymorphisms on the gene expression of four caseins, the protein [...] Read more.
κ-casein (CSN3) polymorphisms are closely related to productive performance and dairy processing performance. In this study, CSN3 3’UTR polymorphisms in Chinese Holstein cows (n = 50) and the effects of these polymorphisms on the gene expression of four caseins, the protein expression of κ-casein, the binding of microRNAs (miRNAs), and cow production performance were investigated. There were two main haplotypes for the CSN3 3’UTR in Chinese Holstein cows: Haplotype 1 (0 mutations, n = 16) and Haplotype 10 (a combination of 7 mutations, n = 17). The gene and protein expression levels of CSN3 in Haplotype 1 were significantly greater than those in Haplotype 10 (p < 0.05). The ability of bta-miR-708 to bind to the CSN3 3’UTR with Haplotype 10 was significantly greater than that with Haplotype 1 (p < 0.05), potentially explaining why the gene and protein expression of CSN3 with Haplotype 10 were lower than those with Haplotype 1. Dairy herd improvement (DHI) data, including 305-d milk production, fat-corrected milk, fat (%), protein (%), and fat/protein ratio, were not significantly different between the two haplotypes (p > 0.05). Results suggest that the two major CSN3 3’UTR polymorphisms in Chinese Holstein cows cause significant changes in CSN3 gene expression, CSN3 protein expression, and bta-miR-708 binding ability but no significant alterations in macroscopic DHI data. Therefore, CSN3 3’UTR polymorphisms should be investigated further. Full article
(This article belongs to the Section Cattle)
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<p>The effect of CSN3 3’UTR polymorphisms on CSN3 protein expression. (<b>A</b>) CSN3 protein expression was assessed by Western blotting. Samples 1-3 were from the Haplotype 1 group (0-mutations), and samples 4-6 were from the Haplotype 10 group (7-mutations). (<b>B</b>) Grayscale analysis of CSN3 protein expression. CSN3 gray-level ratio = CSN3 grayscale value/GAPDH grayscale value. The statistical differences between two groups were analyzed using a <span class="html-italic">t</span>-test.</p>
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<p>The possible binding sites between the seed sequences of the six miRNAs and the CSN3 3’ UTR. Different colors correspond to different miRNA binding sites. The reference sequence is obtained from NCBI (NM_174294.2) and belongs to the Haplotype 10 group (7-mutations). Bases with a bright yellow background are mutated bases. The underlined base is the corresponding binding site in the seed region of miRNA.</p>
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<p>The dual-fluorescence assay results for six miRNAs and two recombinant vectors containing the psi-checkII-CSN3 3’ UTR (Haplotype 1 and Haplotype 10). Psi-checkII-<span class="html-italic">CSN3</span> 3’ UTR-1 was the recombinant vector with Haplotype 1. Psi-checkII-<span class="html-italic">CSN3</span> 3’ UTR-2 was the recombinant vector with Haplotype 10. The left panel shows the results for MAC-T cells, and the right panel shows the results for 293T cells. (<b>A</b>) represents the co-transfection of Psi-checkII-CSN3 3’UTR-1 and six miRNAs into MAC-T cells. (<b>B</b>) represents the co-transfection of Psi-checkII-CSN3 3’UTR-1 and six miRNAs into 293T cells. (<b>C</b>) represents the co-transfection of Psi-checkII-CSN3 3’UTR-2 and six miRNAs into MAC-T cells. (<b>D</b>) represents the co-transfection of Psi-checkII-CSN3 3’UTR-2 and six miRNAs into 293T cells. * indicates a significant difference between the two groups, i.e., <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The dual-fluorescence analysis results for bta-miR-708 and three mutated recombinant vectors. M1 is the recombinant vector for mutated potential binding site 1. M2 is the recombinant vector for mutated potential binding site 2. M3 is the recombinant vector for mutated potential binding site 1 and mutated potential binding site 2. ** indicates a significant difference between the two groups, i.e., <span class="html-italic">p</span> &lt; 0.01. *** indicates a significant difference between the two groups, i.e., <span class="html-italic">p</span> &lt; 0.001. ns indicates no significant difference between the two groups.</p>
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17 pages, 13613 KiB  
Article
Sanxan–Protein Complex Particles for Stabilization of Pickering Emulsions: Improving Emulsification Properties
by Qianqian Wang, Xinyu Wang, Xiaoxi Qi, Libo Liu, Guofang Zhang, Peng Du and Chun Li
Foods 2024, 13(23), 3854; https://doi.org/10.3390/foods13233854 - 28 Nov 2024
Viewed by 526
Abstract
Sanxan (SAN) is a novel microbial polysaccharide that is both safe and edible and represents a promising new source of food resources. It exhibits gelling properties and certain emulsifying properties. To date, there have been few studies published on the enhancement of protein [...] Read more.
Sanxan (SAN) is a novel microbial polysaccharide that is both safe and edible and represents a promising new source of food resources. It exhibits gelling properties and certain emulsifying properties. To date, there have been few studies published on the enhancement of protein emulsification by sanxan. In this study, three widely used proteins were used: casein (CS), pea protein isolate (PPI), and soy protein isolate (SPI). SAN–protein composite particles were prepared by non-covalent interactions to evaluate the availability of SAN in Pickering emulsions. The effect of SAN on the ability of the complexes to stabilize the emulsion was investigated by measuring and characterizing the physicochemical properties of three SAN–protein complexes. Fourier transform infrared (FTIR) and fluorescence spectroscopy analyses showed that SAN was able to bind to three proteins to form complexes. All three complexes formed by SAN with SPI, PPI and CS had good emulsification properties, with PPI-SAN being the best. Storage results showed better stability of the composite particle-stabilized emulsion. These results indicate that the complexation of SAN with proteins improves the emulsification of proteins and increases the stability of Pickering emulsions. The findings of this study provide valuable information for the utilization of SAN in emulsions. Full article
(This article belongs to the Special Issue Novel Processing and Quality Assurance of Milk and Milk Products)
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Graphical abstract

Graphical abstract
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<p>Fourier infrared spectra (<b>A</b>), fluorescence spectra (<b>B</b>), and maximum fluorescence intensity (<b>C</b>) of three proteins (CS, SPI, and PPI), SAN, and protein–SAN complexes (CS-SAN, SPI-SAN, and PPI-SAN). Different small superscript letters indicate the presence of statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Fourier infrared spectra (<b>A</b>), fluorescence spectra (<b>B</b>), and maximum fluorescence intensity (<b>C</b>) of three proteins (CS, SPI, and PPI), SAN, and protein–SAN complexes (CS-SAN, SPI-SAN, and PPI-SAN). Different small superscript letters indicate the presence of statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Zeta potential of three proteins (CS, SPI, and PPI) and three complexes (CS-SAN, SPI-SAN, and PPI-SAN). Different small superscript letters indicate the presence of statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Contact angle images of three proteins, SAN, and protein–SAN complexes.</p>
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<p>Emulsion activity and emulsion stability of three proteins and three complexes. Different small superscript letters indicate statistically significant differences in ESI for different proteins and complexes (<span class="html-italic">p</span> &lt; 0.05). Different capital letters indicate statistically significant differences in EAI for different proteins and complexes (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SEM images of SAN, proteins, and protein–SAN complexes. The red dotted box area is the area of the multiples 5K image.</p>
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<p>Particle size (<b>A</b>) and Zeta potential (<b>B</b>) of proteins and different concentrations of SAN complexes. Different small superscript letters indicate the presence of statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Creaming indices (CI) and appearance of emulsions with different SAN concentrations. Different small superscript letters indicate the presence of statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Appearance of emulsions with different SAN concentrations stored at 25 °C and 37 °C for 28 d. The areas in red boxes are areas of light precipitation.</p>
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<p>Appearance of emulsions with different SAN concentrations treated at 63 °C for 30 min and 60 min.</p>
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10 pages, 1008 KiB  
Article
Determination of Protein Interaction in Milk Protein Concentrate Powders Manufactured from pH-Adjusted and Heat-Treated Skim Milk
by Kavya Dileep, Hari Meletharayil and Jayendra K. Amamcharla
Foods 2024, 13(23), 3832; https://doi.org/10.3390/foods13233832 - 28 Nov 2024
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Abstract
The influence of heating as a pretreatment on the structural and functional attributes of milk protein concentrate (MPC) powders derived from ultrafiltered/diafiltered (UF/DF) skim milk is under-reported. This research delves into the impact of pH and heat treatment on skim milk’s properties before [...] Read more.
The influence of heating as a pretreatment on the structural and functional attributes of milk protein concentrate (MPC) powders derived from ultrafiltered/diafiltered (UF/DF) skim milk is under-reported. This research delves into the impact of pH and heat treatment on skim milk’s properties before UF/DF and how these changes affect the resulting MPC powders. By adjusting the pH of skim milk to 6.5, 6.8, or 7.1 and applying thermal treatment at 90 °C for 15 min to one of two divided lots (with the other serving as a control), we studied the protein interactions in MPC. Post-heat treatment, the skim milk’s pH was adjusted back to 6.8, followed by ultrafiltration and spray drying to produce MPC powders with protein content of 82.38 ± 2.72% on a dry matter basis. MPC dispersions from these powders at 5% protein (w/w) were also evaluated for particle size, viscosity, and heat coagulation time (HCT) to further understand how the protein interactions in skim milk influence the properties of MPC dispersions. Capillary electrophoresis was used to assess the casein and whey protein distribution in both the soluble and colloidal phases. Findings revealed that preheating skim milk at pH 7.1 increased serum phase interactions, while heating skim milk preadjusted to a pH of 6.5 promoted whey protein–casein interactions at the micellar interface. Notably, the D (4,3) of casein micelles was larger for dispersions from milk with a preheated pH of 6.5 compared to other pH levels, correlating positively with enhanced dispersion viscosity due to increased volume fraction. These results support the potential for tailoring MPC powder functionality in various food applications through the precise control of the milk’s pre-treatment conditions. Full article
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<p>Experimental design for the manufacture of MPC powders heated and unheated at different pH values.</p>
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<p>Typical capillary gel electropherogram of serum phase of (<b>A</b>) MPC dispersions of MPC powders manufactured from unheated skim milk at pH 6.8, (<b>B</b>) MPC dispersions of MPC powders manufactured from heated skim milk at pH 6.8.</p>
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