Association of Vegetable and Animal Flesh Intake with Inflammation in Pregnant Women from India.
Su YadanaSameera A TalegawkarJyoti S MathadMallika AlexanderKripa RajagopalanPavan KumarShilpa NaikCheng-Shiun LeuVandana KulkarniPrasad DeshpandeMariana Araujo-PereiraRamesh BhosaleSubash BabuBruno Bezerril AndradeLaura E CaulfieldAmita GuptaRupak ShivakotiPublished in: Nutrients (2020)
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.
Keyphrases
- pregnant women
- oxidative stress
- healthcare
- pregnancy outcomes
- binding protein
- human health
- fatty acid
- dendritic cells
- public health
- health risk
- palliative care
- health risk assessment
- signaling pathway
- mental health
- risk assessment
- machine learning
- regulatory t cells
- current status
- cross sectional
- big data
- heavy metals
- drinking water
- affordable care act