scholarly journals Microbiological and Immunological Markers in Milk and Infant Feces for Common Gastrointestinal Disorders: A Pilot Study

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 634 ◽  
Author(s):  
Marina Aparicio ◽  
Claudio Alba ◽  
Juan Miguel Rodríguez ◽  
Leonides Fernández ◽  
Keyword(s):  
Pilot Study ◽  
Breast Milk ◽  
Cow Milk ◽  
Gastrointestinal Disorders ◽  
Immunological Parameters ◽  
Fecal Samples ◽  
Fecal Microbiome ◽  
Milk Samples ◽  
Infant Feces ◽  
The Difference

The objective of this pilot study was to assess the fecal microbiome and different immunological parameters in infant feces and maternal milk from mother–infant pairs in which the infants were suffering from different gastrointestinal disorders (colic, non-IgE-mediated cow milk protein allergy (CMPA), and proctocolitis). A cohort of 30 mother–infant pairs, in which the infants were diagnosed with these gastrointestinal disorders or included as healthy controls, were recruited. Bacterial composition of infant feces and breast milk was determined by metataxonomic sequencing. Immunological compounds were quantified using multiplexed immunoassays. A higher abundance of Eggerthellaceae, Lachnospiraceae and Peptostreptococcaceae, and lower abundance of Bifidobacterium and higher abundance of Rothia were registered in fecal samples from the CMPA group. Eggerthellaceae was also significantly more abundant in milk samples of the CMPA group. There were no differences in the concentration of immunological compounds in infant fecal samples between the four groups. In contrast, differences were found in the concentration and/or frequency of compounds related to acquired immunity and granulocyte colony stimulating factor (GCSF) in breast milk samples. In conclusion, a few microbial signatures in feces may explain part of the difference between CMPA and other infants. In addition, some milk immunological signatures have been uncovered among the different conditions addressed in this pilot study.

scholarly journals Immunoglobulin A antibodies directed againstCampylobacter jejuniflagellin present in breast–milk

1994 ◽  
Vol 112 (2) ◽  
pp. 359-365 ◽  
Author(s):  
I. Nachamkin ◽  
S. H. Fischer ◽  
X.-H. Yang ◽  
O. Benitez ◽  
A. Cravioto
Keyword(s):  
Breast Milk ◽  
Protective Effect ◽  
Statistical Significance ◽  
Immunoglobulin A ◽  
Specific Antibodies ◽  
Breastfed Infants ◽  
Milk Samples ◽  
The Difference ◽  
Campylobacter Infection ◽  
The Relationship

SUMMAYWe studied the relationship between IgA anti–campylobacter flagellin antibodies in breast milk samples and protection of breastfed infants living in a rural Mexican village from campylobacter infection. There were fewer episodes of campylobacter infection (symptomatic and asymptomatic combined) in infants breastfed with milk containing specific anti-flagellin antibodies (1.2/child/year, 95% CI 0.6–1.8) versus non–breastfed children (3.3/child/year, 95% CI 1.8–4.8; P < 0.01). Infants breastfed with milk that was antiflagellin antibody negative by ELISA also had fewer episodes of infection compared with non-breastfed children, but the difference did not reach statistical significance (1.8/child/year, 95% CI 0.7–3.0 versus 3.3/child/year, 95% CI 1.8–4.8, P > 0.05). Breastfeeding has a protective effect against campylobacter infection and is associated with the presence of specific antibodies directed against campylobacter flagellin.

scholarly journals Dynamic Associations of Milk Components With the Infant Gut Microbiome and Fecal Metabolites in a Mother–Infant Model by Microbiome, NMR Metabolomic, and Time-Series Clustering Analyses

2022 ◽  
Vol 8 ◽  
Author(s):  
Yosuke Komatsu ◽  
Daiki Kumakura ◽  
Namiko Seto ◽  
Hirohisa Izumi ◽  
Yasuhiro Takeda ◽  
...  
Keyword(s):  
Breast Milk ◽  
Gut Microbiome ◽  
Lactation Period ◽  
Bioactive Components ◽  
Fecal Microbiome ◽  
Breastfed Infants ◽  
H Nmr ◽  
Milk Components ◽  
Infant Gut Microbiome ◽  
Infant Feces

Background: The gut microbiome and fecal metabolites of breastfed infants changes during lactation, and are influenced by breast milk components. This study aimed to investigate dynamic associations of milk components with the infant gut microbiome and fecal metabolites throughout the lactation period in a mother–infant model.Methods: One month after delivery, breast milk and subsequent infant feces were collected in a pair for 5 months from a mother and an exclusively breastfed infant. Composition of the fecal microbiome was determined with 16S rRNA sequencing. Low-molecular-weight metabolites, including human milk oligosaccharides (HMOs), and antibacterial proteins were measured in feces and milk using 1H NMR metabolomics and enzyme-linked immunosorbent assays. The association of milk bioactive components with the infant gut microbiome and fecal metabolites was determined with Python clustering and correlation analyses.Results: The HMOs in milk did not fluctuate throughout the lactation period. However, they began to disappear in infant feces at the beginning of month 4. Notably, at this time-point, a bifidobacterium species switching (from B. breve to B. longum subsp. infantis) occurred, accompanied by fluctuations in several metabolites including acetate and butyrate in infant feces.Conclusions: Milk bioactive components, such as HMOs, might play different roles in the exclusively breastfed infants depending on the lactation period.

scholarly journals Nano-HPLC-HRMS Analysis to Evaluate Leptin Level in Milk Samples: A Pilot Study

2020 ◽  
Vol 10 (17) ◽  
pp. 6135
Author(s):  
Federica Dal Bello ◽  
Enrica Mecarelli ◽  
Daniela Gastaldi ◽  
Francesco Savino ◽  
Claudio Medana
Keyword(s):  
Pilot Study ◽  
Breast Milk ◽  
Infant Formula ◽  
Analytical Method ◽  
Critical Role ◽  
Bovine Milk ◽  
Human Breast Milk ◽  
Human Breast ◽  
Milk Samples ◽  
Limit Of Quantitation

Leptin is a 16 kDa lipophilic protein hormone secreted by adipocytes and its most significant function is to inform the brain with negative feedback that regulates food intake. Recently the protein found in human breast milk was related to breast feeding and onset of obesity, and the evidence of a low probability to develop pediatric obesity in children fed with breast milk was also confirmed. Since leptin could have a critical role, its quantitation both in human breast, bovine milk and in infant formula products is interesting. For this reason, we developed an analytical method based on immunoaffinity purification followed by an analysis with nano-High Pressure Liquid Chromatography coupled with High Resolution Mass Spectrometry analyzer (nano-HPLC-HRMS) to identify and quantify leptin in milk samples and performed a pilot study using samples of human breast milk, bovine milk and infant formulas. With an obtained lower limit of quantitation (LLOQ) of 100 ng mL−1 we quantified leptin in human breast milk finding an average of 6.70 ng mL−1. Our results show that leptin was under LLOQ both in bovine milk and in infant formula products. In conclusion, the developed analytical method here described was suitable to quantify leptin in milk samples with a good sensitivity and selectivity, and without the use of radioactive reagents.

scholarly journals Rapid change of fecal microbiome and disappearance of Clostridium difficile in a colonized infant after transition from breast milk to cow milk

Microbiome ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Manli Y. Davis ◽  
Husen Zhang ◽  
Lera E. Brannan ◽  
Robert J. Carman ◽  
James H. Boone
Keyword(s):  
Breast Milk ◽  
Clostridium Difficile ◽  
Rapid Change ◽  
Cow Milk ◽  
Fecal Microbiome

scholarly journals Nutritional and Fatty Acid Profile of Human Milk Samples from District Malakand, Pakistan

2020 ◽  
Vol 21 (2) ◽  
pp. 263-270
Author(s):  
Muhammad Adil
Keyword(s):  
Fatty Acid ◽  
Breast Milk ◽  
Fatty Acid Profile ◽  
Developed Countries ◽  
Vital Role ◽  
Fatty Acid Profiles ◽  
Milk Samples ◽  
Complete Diet ◽  
The Difference ◽  
Time Of Feeding

Generally, breast milk is the first and complete diet for an infant. It has a pivotal role in determining the growth pattern of the kids. Breast milk has various nutritional ingredients and is a source of energy for the infants. It has a vital role in the development of the immune system. The composition of milk varies with the diet of the mother, environment, and time of feeding. The fatty acid profile and nutritional value of the breast milk of the Malakand district were determined. The fats and protein were determined using the recommended methods by the Association of Official Analytical Chemists (AOAC) and Ward method, respectively while the fatty acid profile was determined through GC-MS. Milk samples were analyzed for proximate composition and from the results the moisture content was 87.69%, ash 0.29%, fats 3.63%, protein 0.94%, and carbohydrate content ware 7.45%. The average fatty acid profiles of milk showed that it is composed of saturated (SFA), monounsaturated (MUFA) and polyunsaturated fatty acid (PUFA) with a concentration of 38.41%, 29.59%, and 14.70%, respectively. In general, both proximate and fatty acid profiles were found slightly different compared to the contents of breast milk in developed countries which may be due to the difference in diet, environment, and socioeconomic status of women in Pakistan.

scholarly journals P065 Conservation of breast milk cytokine profiles in consecutive pregnancies of women with inflammatory bowel disease

2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S170-S171
Author(s):  
M Agrawal ◽  
L Tarassishin ◽  
A Rendon ◽  
A Debebe ◽  
C Hillenbrand ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Pilot Study ◽  
Breast Milk ◽  
Bowel Disease ◽  
Preliminary Evidence ◽  
Immune Functions ◽  
Milk Samples ◽  
Cytokine Profiles ◽  
Study Results ◽  
Inflammatory Bowel

Abstract Background Preliminary evidence suggests changes in breast milk cytokines in women with inflammatory bowel disease (IBD) compared to healthy controls, with potential implications toward offspring immunological development. However, changes in breast milk cytokine profiles in consecutive pregnancies are not known. Methods In this pilot study, we prospectively enrolled 11 pregnant women with, and 10 without IBD during two consecutive pregnancies and collected clinical data during each pregnancy and post birth. We collected breast milk samples at two weeks post birth and obtained the expression levels of 92 cytokines using the Olink proteomic platform. We further analyzed the correlation of cytokine profiles within each sample, in paired breast milk samples from consecutive pregnancies, and in random two unpaired breast milk samples, of women with and without IBD. Results The baseline characteristics of women with and without IBD were comparable (Table). The cytokine profiles were significantly correlated between paired breast milk samples from consecutive pregnancies compared to unpaired breast milk samples from women with or without IBD. The overall correlations of cytokine profiles in paired IBD pregnancies were significantly higher than the controls (Figure). Conclusion Our pilot study results suggest that the breast milk cytokine signatures are more conserved in consecutive pregnancies of women with IBD compared to those without IBD. Future analysis will test if our findings have implications toward familial clustering of immune functions in offspring.

Determination of Some Heavy Metals in Milk of Cow Grazing At Selected Areas, of Kaduna Metropolis

2017 ◽  
Vol 7 (7) ◽  
pp. 341 ◽  
Author(s):  
Mahmud Mohammed Imam ◽  
Zahra Muhammad ◽  
Amina Zakari
Keyword(s):  
Heavy Metals ◽  
Cadmium Toxicity ◽  
Research Work ◽  
The Body ◽  
Cow Milk ◽  
Scientific Model ◽  
Potential Health ◽  
Milk Samples ◽  
Lead And Cadmium ◽  
Digestion Technique

In this research work the concentration of zinc, copper, lead, chromium, cadmium, and nickel in cow milk samples obtained from four different grazing areas   (kakuri, kudendan, malali, kawo) of Kaduna metropolis. The samples were digested by wet digestion technique .The trace element were determined using bulk scientific model VPG 210 model  Atomic Absorption Spectrophotometer (AAS).. The concentration of the determined heavy metal were The result revealed that Cr,  Ni and Cd were not detected in milk samples from Kawo, Malali  and Kudendan whereas lead (Pb) is detected in all samples and found to be above  the stipulated limits of recommended dietary allowance (NRC,1989) given as 0.02mg/day. Cu and Zn are essential elements needed by the body for proper metabolism and as such their deficiency or excess is very dangerous for human health. However, they were found in all samples and are within the recommended limits while Cd (2.13 – 3.15 mg/kg) in milk samples from Kakuri was found to be above such limit (0.5mg/day). Cow milk samples analyzed for heavy metals in this research work pose a threat of lead and cadmium toxicity due to their exposure to direct sources of air, water and plants in these grazing areas, thereby, resulting to a potential health risk to the consumers.

Predictors of Success Using a mHealth Intervention in Adults with Prediabetes: Results of a Pilot Study (Preprint)

2019 ◽  
Author(s):  
Nestoras Mathioudakis ◽  
Estelle Everett ◽  
Noora Al-Hajri ◽  
Mohammed Abusamaan ◽  
Clare Lee ◽  
...  
Keyword(s):  
Pilot Study ◽  
Intervention Program ◽  
Area Deprivation ◽  
Inverse Association ◽  
Small Pilot Study ◽  
Mhealth Intervention ◽  
Increased Risk ◽  
Metabolic Equivalent Of Task ◽  
Mobile Intervention ◽  
The Difference

BACKGROUND About one-third of American adults have prediabetes and are at increased risk of type 2 diabetes. Mobile health (mHealth) technologies provide a scalable approach to diabetes prevention by encouraging physical activity (PA), weight loss, and adherence to a healthy diet in large numbers of patients. OBJECTIVE To identify factors associated with improvements in PA and glycated hemoglobin (A1c) measures among prediabetic adults who received a mobile intervention program (smartphone app in combination with a digital body weight scale) in a previously completed pilot study. METHODS We conducted a post hoc analysis of a 3-month prospective, single-arm, observational study using the Sweetch™ mHealth intervention among adults with prediabetes. Change in A1C was calculated as the difference between the 3-month and baseline A1C measurements and was categorized as decrease vs. no decrease. PA was evaluated using the total minutes and metabolic equivalent of task (MET)-hours per week. Change in MET-hours/week was categorized as increase vs. no increase. Age, sex, race, education, employment status, area deprivation, smartphone usage attitudes, and PA stage of change were compared between groups by outcomes of change in A1C and change in MET-hour/week. RESULTS A total of 37 adults received the final Sweetch mobile intervention and were included in the analysis. 62% were female and 81% were white, with average age of 57 years. The median [IQR] baseline A1C was 6.0% [5.8, 6.2]. A1C measure at 3-month was decreased in 24 (65%) participants when compared to baseline A1C. There was an inverse association between average MET-hours per week and change in A1C. Among participants whose A1C decreased vs. did not decrease, the MET-hours per week in last 2 weeks of study was 18.7 (8.4) and 15.0 (7.1), respectively (P=0.19), and the change in MET-hours per week was 2.1 (7.1) and 4.1(6.1), respectively (P=0.41). There were otherwise no statistically significant differences in participant factors by A1C and PA outcomes. CONCLUSIONS In this small pilot study, Sweetch mHealth intervention achieved comparable A1C response prediabetic adults with different individual, sociodemographic and anthropometric characteristics. CLINICALTRIAL ClincialTrials.gov NCT02896010; https://clinicaltrials.gov/ct2/show/NCT02896010 (Archived by WebCite at http://www.webcitation.org/6xJYxrgse)

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