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Isolation and characterization of Bifidobacterium spp. from breast milk with different human milk oligosaccharides utilization and anti-inflammatory capacity.

Food Res Int

November 2024

School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi 710061, China. Electronic address:

Article Synopsis
  • Breast milk is essential for infant nutrition, and specific Bifidobacterium strains can enhance health by utilizing human milk oligosaccharides (HMOs).
  • The study successfully isolated nine Bifidobacterium strains from breast milk, which demonstrated strong probiotic potential through various beneficial activities and safety profiles.
  • Notably, B. breve N-90 and B. infantis R-1 were identified as promising candidates for probiotic inclusion in simulated maternal milk formulas due to their effective utilization of HMOs and anti-inflammatory properties.
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Article Synopsis
  • Lentinan (LNT) is a powerful substance from a food source that has immune-boosting properties, but its exact effects under immune-suppressive conditions are not fully understood.
  • This study examined how LNT could counteract the harmful effects of cyclophosphamide (CP), which causes immune suppression, intestinal damage, and gut bacteria imbalance.
  • Results showed that LNT improved various health indicators in mice affected by CP, repaired intestinal damage, and restored healthy gut microbiota by increasing beneficial bacteria, highlighting its potential as a treatment for immunosuppression.
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Lacto-N-tetraose (LNT) is a functional human milk oligosaccharide (HMO) commercially added to infant formula. Metabolically engineered strains for efficient production of LNT have been widely constructed. However, most of them rely on the use of plasmids, which might bring metabolic burden and the antibiotic issue.

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Background: Breast screening recommendation based on individual risk assessment is emerging as an alternative approach to improve compliance and efficiency to detect breast cancer (BC) early. In Vietnam, prior knowledge to stratify risk based on genetic factors is currently lacking.

Methods: This study recruited 892 BC patients and 735 healthy Vietnamese women from 2016 to 2021.

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Random Threshold Model: A Low-Dose Radiation-Induced Risk Assessment Approach Considering Individual Susceptibility to Cancer.

Dose Response

November 2024

Department of Biomedical Science and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.

The linear no-threshold (LNT) model, which has been used for radiation protection purposes, was developed based on the assumption that exposure to even a small amount of radiation may cause cancer. However, although it is known in carcinogenesis that there is variation in radiation sensitivity among individuals, the LNT model does not adequately consider radiosensitive subgroups. In this paper, we represent susceptibility to contract cancer by radiation exposure by means of the threshold of a dose-response function, introduce an assumption that the thresholds are random to represent the variation of the radiosensitivity among individuals in a susceptible subgroup.

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