Publications by authors named "F K Tabung"
Objective: We aimed to determine whether a pro-inflammatory dietary pattern (mechanism-based diet) is associated with incident female gout among two large cohorts of US women.
Methods: We prospectively followed 79,104 women from Nurses' Health Study (NHS; 1984-2016) and 93,454 women from NHSII (1991-2017); 45,445 men from Health Professionals Follow-up Study (1986-2016) served as a comparison cohort. Validated food frequency questionnaires were used to calculate Empirical Dietary Inflammatory Pattern (EDIP; food-based index predictive of circulating inflammatory biomarkers) scores every 4-years.
Metabolic dietary patterns, including the Empirical Dietary Index for Hyperinsulinaemia (EDIH) and Empirical Dietary Inflammatory Pattern (EDIP), are known to impact multiple chronic diseases, but the role of the colonic microbiome in mediating such relationships is poorly understood. Among 1,610 adults with faecal 16S rRNA data in the TwinsUK cohort, we identified the microbiome profiles for EDIH and EDIP (from food frequency questionnaires) cross-sectionally using elastic net regression. We assessed the association of the dietary pattern-related microbiome profile scores with circulating biomarkers in multivariable-adjusted linear regression.
View Article and Find Full Text PDFBackground: Dietary patterns promoting chronic inflammation, including the empirical dietary inflammatory pattern (EDIP), have been associated with certain cancers. Investigating whether this dietary pattern is associated with breast cancer-where the role of inflammation is less well-defined-could provide valuable insights and potentially improve strategies for preventing this cancer.
Methods: We prospectively followed 76,386 women from Nurses' Health Study (NHS, 1984-2018) and 92,886 women from Nurses' Health Study II (NHSII, 1991-2019).
Article Synopsis
- BMI might not accurately reflect the risk of obesity-related cancer (ORC) because metabolic issues can exist at various BMI levels.
- A study of 20,593 postmenopausal women identified four types of metabolic health and found that those with metabolic dysfunction—regardless of weight—had an increased risk of ORC.
- The research showed that overweight and obese individuals, especially those with metabolic dysfunction, faced a higher risk of developing ORC compared to metabolically healthy individuals with normal weight.
Background: Metabolomic profiles may influence colorectal cancer (CRC) development. Few studies have performed pre-diagnostic metabolome-wide analyses with CRC risk.
Methods: We conducted a nested case-control study among women (Nurses' Health Study (NHS)) and men (Health Professionals Follow-up Study (HPFS)) who provided blood between 1989 and 1995.