Somatic Cell Count: A Human Breast Wellbeing Indicator.

Area of Science:

• Biomedical Science
• Public Health
• Infant Nutrition

Background:

• Human milk is the primary infant nutrition source, yet breast health diagnostics are lacking.
• Somatic cell count (SCC) is a dairy industry standard for assessing udder health and milk quality.
• Elevated SCC in bovine milk signifies intra-mammary infection and immune system activity, applicable to human breast health.

Purpose of the Study:

• To investigate the utility of somatic cell count (SCC) for assessing human lactating breast health.
• To correlate SCC and bacterial load in breast milk samples.
• To explore geographical and maternal health influences on breast milk SCC.

Main Methods:

• Random collection of 176 breast milk samples from four regions in Gujarat, India.
• Performance of somatic cell count (SCC) and total bacterial count tests on all samples.
• Statistical analysis using PRISM 6.07 to assess correlations.

Main Results:

• Mastitic breasts showed significantly higher SCC (>10^4 cells/μL) and bacterial counts (10^5–10^11 CFU/mL) compared to healthy breasts (<104 cells/μL and 10^3–10^4 CFU/mL).
• A significant correlation was found between geographical region and SCC in healthy breast milk, but not in infected milk.
• A linear correlation was established between SCC and bacterial abundance in breast milk.

Conclusions:

• Somatic cell count (SCC) is a viable indicator for predicting lactating breast health.
• The study highlights the potential of SCC as a non-invasive diagnostic tool for breast conditions.
• Findings suggest SCC can serve as a proxy for bacterial load and infection status in human breast milk.