Introduction: Gut microbiota is well recognized as a key determinant of health and disease. Consequently, several studies have focused on the causality and predictive/prognostic value of microbiota in a wide range of diseases. However, understanding what sparks changes in the microbiota and how these changes contribute to increased disease susceptibility is of greater importance. Few studies have shown that gut microbiota can be altered by lifestyle and thus lead to pathology. What if socio-economic factors also affect the composition of the gut microbiota and thus increase susceptibility to disease? Perhaps, this is one of the factors that may have contributed to the increase in inequality between people with higher and lower socio-economic status in terms of health. In this review, we aim to understand more about this issue and the true impact of the biological community. In addition, we proposed criteria to reduce the impact of these factors on the gut microbiota composition.
Methods: Microbiota has a great impact on health and disease. Therefore, it can be understood that society affects health inequalities and can reduce these inequalities. In addition, if it should be considered in microbiota research, because it is possible to carry out an intervention that can influence interpretation results.
It seems that this trait has more to do with their microbiota composition than heritability. Therefore, childhood interventions on the microbiota can have a person's success throughout life, along with improving the country's productivity will increase the risk of developing this disease. In addition, the biological community can prevent screening damage by increasing efficiency through appropriate health policies designed specifically for specific sites.
Results: Regional Microbiota Banks and Screening of Policy Success Since microbiota sequencing is becoming more accessible, individual microbiota should be examined in a standard frequency to optimize health policies and evaluate their success with the possibility of early disease detection and microbiota adjustment. In addition, microbiota samples can be stored under optimal conditions and, in the not-too-distant future, can be autologously transplanted to restore homeostasis of the innate microbiota when dysbiosis is diagnosed.
Conclusion: Investing in personal microbiota interventions in early life, especially in low SE neighborhoods, can induce a win-win situation, where health inequalities are attenuated along with increased overall productivity.