Vaidya Yati, Patel Shriram, Joshi Chaitanya, Nauriyal Dev, Kunjadia Anju
Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology and Allied Sciences, Anand, India.
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, India.
J Breast Health. 2017 Apr 1;13(2):88-93. doi: 10.5152/tjbh.2017.3328. eCollection 2017 Apr.
Human milk is universally accounted as the preeminent source of nutrition for infants. Surprisingly, no approved diagnostic tests are available for the diagnosis of physical condition of the breast. Somatic cell count (SCC) is a key tool commonly used in the dairy industry to provide evidence of udder health, which in turn determines the quality of bovine and cattle milk. Elevated levels of somatic cells in milk are observed during intra-mammary infectious state in bovine animals, which is due to active participation of the immune system. This constraint in humans can principally be used to study breast health.
In the present study, 176 breast milk samples in total were randomly collected from four different regions of Gujarat, India. All the samples were subjected to somatic cell count and total bacterial count tests. The effect of geographical region and maternal health was studied on the basis of milk SCC and total bacterial load. Statistical interpretation of the results was done using PRISM 6.07.
Breast showing clinical symptoms of mastitis yielded a high SCC (>10 cells/microliter (μL)) and bacterial count (between 10 to 10 Colony Forming Unit (CFU)/milliliter (mL)) in comparison to milk collected from healthy breast (<104 cells/μL and 10 to 10 CFU/mL). Statistical analysis reveals existence of significant correlation between the geographical region and SCC count of milk collected from healthy breast whereas no correlation was observed in infected breast milk. The study has also demonstrated that a lineer correlation exists between SCC and abundance of bacteria present in breast milk.
The present study could be employed to predict lactating breast health.
母乳被公认为是婴儿最优质的营养来源。令人惊讶的是,目前尚无经批准的用于诊断乳房身体状况的检测方法。体细胞计数(SCC)是乳制品行业常用的关键工具,用于提供乳房健康的证据,进而决定牛奶的质量。在牛的乳房内感染状态期间,牛奶中的体细胞水平会升高,这是由于免疫系统的积极参与。人类的这种情况主要可用于研究乳房健康。
在本研究中,总共从印度古吉拉特邦的四个不同地区随机收集了176份母乳样本。所有样本均进行了体细胞计数和总细菌计数测试。基于牛奶SCC和总细菌载量研究了地理区域和母亲健康状况的影响。使用PRISM 6.07对结果进行统计解释。
与从健康乳房采集的母乳(<104个细胞/微升和10至10菌落形成单位(CFU)/毫升)相比,出现乳腺炎临床症状的乳房产生的SCC较高(>10个细胞/微升(μL))且细菌计数较高(10至10菌落形成单位(CFU)/毫升)。统计分析表明,健康乳房采集的牛奶的地理区域与SCC计数之间存在显著相关性,而在感染的母乳中未观察到相关性。该研究还表明,SCC与母乳中存在的细菌丰度之间存在线性相关性。
本研究可用于预测哺乳期乳房健康。