Breast Cancer and Its Relationship with the Microbiota.
Breast Cancer and Its Relationship with the Microbiota.
复制标题
DOI：
10.3390/ijerph15081747
复制
发表时间：
2018-08-14
影响因子：
--
通讯作者：
Fontana L
中科院分区：
文献类型：
--
作者：
Fernández MF;Reina-Pérez I;Astorga JM;Rodríguez-Carrillo A;Plaza-Díaz J;Fontana L
与人类共生的微生物越来越被认为是健康和疾病的重要参与者。这些微生物的最大集合被发现在胃肠道中。微生物组成反映了宿主的遗传和生活方式变量。这种微生物群与宿主处于动态平衡，发挥局部和远距离的作用。微生物扰动（生态失调）可能会导致健康问题的风险。已经鉴定出能够产生雌激素代谢酶的各种细菌基因。因此，肠道微生物群能够调节雌激素血清水平。相反，雌激素样化合物可能会促进某些细菌的增殖。因此，微生物群与内源性激素和雌激素样化合物之间的相互作用可能会协同作用，以提供对疾病的保护，但也会增加发生与疾病相关的疾病的风险。最近的研究表明，患有乳腺癌的女性的微生物群与健康女性的微生物群不同，这表明某些细菌可能与癌症的发展以及对治疗的不同反应有关。在这篇综述中，我们讨论了有关微生物组和乳腺癌的最新知识，确定了人类微生物组的具体特征，这些特征可能有助于开发用于这种疾病的风险评估，预防和治疗的新方法。
The microorganisms that live symbiotically in human beings are increasingly recognized as important players in health and disease. The largest collection of these microorganisms is found in the gastrointestinal tract. Microbial composition reflects both genetic and lifestyle variables of the host. This microbiota is in a dynamic balance with the host, exerting local and distant effects. Microbial perturbation (dysbiosis) could contribute to the risk of developing health problems. Various bacterial genes capable of producing estrogen-metabolizing enzymes have been identified. Accordingly, gut microbiota is capable of modulating estrogen serum levels. Conversely, estrogen-like compounds may promote the proliferation of certain species of bacteria. Therefore, a crosstalk between microbiota and both endogenous hormones and estrogen-like compounds might synergize to provide protection from disease but also to increase the risk of developing hormone-related diseases. Recent research suggests that the microbiota of women with breast cancer differs from that of healthy women, indicating that certain bacteria may be associated with cancer development and with different responses to therapy. In this review, we discuss recent knowledge about the microbiome and breast cancer, identifying specific characteristics of the human microbiome that may serve to develop novel approaches for risk assessment, prevention and treatment for this disease.
登录
查看更多内容
影响因子：
4.6
作者：
Chan AA;Bashir M;Rivas MN;Duvall K;Sieling PA;Pieber TR;Vaishampayan PA;Love SM;Lee DJ
通讯作者：
Lee DJ
影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
4.4
作者：
Carrega, Paolo;Bonaccorsi, Irene;Ferlazzo, Guido
通讯作者：
Ferlazzo, Guido
影响因子：
4.2
作者：
Dabek, Marta;McCrae, Sheila I.;Louis, Petra
通讯作者：
Louis, Petra
影响因子：
78.8
作者：
Crusz, Shanthini M.;Balkwill, Frances R.
通讯作者：
Balkwill, Frances R.