| Literature DB >> 33302378 |
Su Yadana1,2, Sameera A Talegawkar3, Jyoti S Mathad4, Mallika Alexander5, Kripa Rajagopalan6,7, Pavan Kumar8, Shilpa Naik9, Cheng-Shiun Leu10, Vandana Kulkarni5, Prasad Deshpande5, Mariana Araujo-Pereira11,12,13, Ramesh Bhosale9, Subash Babu8, Bruno B Andrade11,12,13,14,15,16, Laura E Caulfield17, Amita Gupta5,7, Rupak Shivakoti1.
Abstract
In pregnant women, studies are lacking on the relationship of vegetable and animal flesh (poultry, red meat and seafood) intake with inflammation, especially in low- and middle-income countries. We conducted a cohort study of pregnant women receiving antenatal care at BJ Medical College in Pune, India. The dietary intake of pregnant women was queried in the third trimester using a validated food frequency questionnaire. Twelve inflammatory markers were measured in plasma samples using immunoassays. Only 12% of the study population were vegetarians, although animal flesh intake levels were lower compared to Western populations. In multivariable models, higher intakes of total vegetables were associated with lower levels of the T-helper (Th) 17 cytokine interleukin (IL)-17a (p = 0.03) and the monocyte/macrophage activation marker soluble CD163 (sCD163) (p = 0.02). Additionally, higher intakes of poultry were negatively associated with intestinal fatty-acid binding protein (I-FABP) levels (p = 0.01), a marker of intestinal barrier dysfunction and Th2 cytokine IL-13 (p = 0.03), and higher seafood was associated with lower IL-13 (p = 0.005). Our data from pregnant women in India suggest that a higher quality diet emphasizing vegetables and with some animal flesh is associated with lower inflammation. Future studies should confirm these findings and test if modulating vegetables and animal flesh intake could impact specific aspects of immunity and perinatal health.Entities:
Keywords: gut barrier; inflammation; meat intake; monocyte activation; pregnancy; vegetable intake
Mesh:
Substances:
Year: 2020 PMID: 33302378 PMCID: PMC7762525 DOI: 10.3390/nu12123767
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717