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1.
Br J Cancer ; 129(12): 1978-1987, 2023 12.
Artigo em Inglês | MEDLINE | ID: mdl-37898720

RESUMO

BACKGROUND: The empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) are novel measures of dietary quality associated with insulin hypersecretion or chronic inflammation, respectively, whereas the Healthy Eating Index (HEI-2015) measures adherence to the Dietary Guidelines for Americans (DGA). We evaluated associations of EDIH, EDIP and HEI-2015 on the risk of both kidney cancer development and mortality. METHODS: We calculated the dietary scores from baseline food frequency questionnaires among 115,830 participants aged 50-79 years in the Women's Health Initiative. Multivariable-adjusted Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (95%CI) for kidney cancer risk, kidney cancer-specific mortality and all-cause mortality, per 1-standard deviation increment in dietary pattern scores. RESULTS: Higher EDIH was associated with greater risk of kidney cancer development [HR, 1.12; 95%CI, (1.01,1.23)], kidney cancer-specific death [1.22(0.99,1.48)], and all-cause mortality, [1.05(1.02,1.08)]. Higher HEI-2015 was associated with lower risk of kidney cancer development, [0.85(0.77, 0.94)], kidney cancer-specific death, [0.84(0.69,1.03)] and all-cause mortality, [0.97(0.95,1.00)]. However, EDIP was not significantly associated with outcomes. Associations did not differ by BMI categories. CONCLUSIONS: Low-insulinemic dietary patterns and higher quality diets, are worthy of testing in dietary pattern intervention trials for kidney cancer prevention and improved survivorship.


Assuntos
Carcinoma de Células Renais , Neoplasias Renais , Humanos , Feminino , Pós-Menopausa , Estudos Prospectivos , Dieta/efeitos adversos , Fatores de Risco
2.
Gut Microbes ; 15(2): 2255345, 2023 12.
Artigo em Inglês | MEDLINE | ID: mdl-37702461

RESUMO

Despite improved cardiometabolic outcomes following bariatric surgery, its long-term impact on colorectal cancer (CRC) risk remains uncertain. In parallel, the influence of bariatric surgery on the host microbiome and relationships with disease outcomes is beginning to be appreciated. Therefore, we investigated the impact of Roux-en-Y gastric bypass (RYGB) and vertical sleeve gastrectomy (VSG) on the patterns of sulfide-reducing and butyrate-producing bacteria, which are hypothesized to modulate CRC risk after bariatric surgery. In this single-center, cross-sectional study, we included 15 pre-surgery subjects with severe obesity and patients who are at a median (range) of 25.6 (9.9-46.5) months after RYGB (n = 16) or VSG (n = 10). The DNA abundance of fecal bacteria and enzymes involved in butyrate and sulfide metabolism were identified using metagenomic sequencing. Differences between pre-surgery and post-RYGB or post-VSG cohorts were quantified using the linear discriminant analysis (LDA) effect size (LEfSe) method. Our sample was predominantly female (87%) with a median (range) age of 46 (23-71) years. Post-RYGB and post-VSG patients had a higher DNA abundance of fecal sulfide-reducing bacteria than pre-surgery controls (LDA = 1.3-4.4, p < .05). The most significant enrichments were for fecal E. coli, Acidaminococcus and A. finegoldii after RYGB, and for A. finegoldii, S. vestibularis, V. parvula after VSG. As for butyrate-producing bacteria, R. faecis was more abundant, whereas B. dentium and A. hardus were lower post-RYGB vs. pre-surgery. B. dentium was also lower in post-VSG vs. pre-surgery. Consistent with these findings, our analysis showed a greater enrichment of sulfide-reducing enzymes after bariatric surgery, especially RYGB, vs. pre-surgery. The DNA abundance of butyrate-producing enzymes was lower post-RYGB. In conclusion, the two most used bariatric surgeries, RYGB and VSG, are associated with microbiome patterns that are potentially implicated in CRC risk. Future studies are needed to validate and understand the impact of these microbiome changes on CRC risk after bariatric surgery.


Assuntos
Cirurgia Bariátrica , Neoplasias Colorretais , Microbioma Gastrointestinal , Humanos , Feminino , Pessoa de Meia-Idade , Idoso , Masculino , Butiratos , Estudos Transversais , Escherichia coli , Bactérias/genética , Neoplasias Colorretais/cirurgia
3.
Methods Enzymol ; 674: 255-295, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36008009

RESUMO

Carotenoids are a diverse family of phytochemicals with over 1000 different carotenoids present in nature. A human diet containing a variety of plant foods typically includes approximately 50 different carotenoids, although six (α-carotene, ß-carotene, ß-cryptoxanthin, lycopene, lutein, and zeaxanthin) comprise over 90% of total carotenoid intake. Most carotenoids do not meet the definition of a nutrient, but several can be cleaved to form vitamin A and are important contributors to vitamin A nutriture and prevention of vitamin A deficiency. Large epidemiologic studies suggest that diets rich in total or specific carotenoids are associated with a reduced risk of several diseases including various types of cancer, cardiovascular disease, cognitive disorders, and age-related macular degeneration. However, accurate measurement of dietary intake is challenging and current methods of dietary assessment, including food frequency questionnaires, diet records and 24-h recalls, have strengths and limitations regarding estimating carotenoid intake. Additionally, carotenoid bioavailability from the diet is influenced by many variables including food processing and cooking, meal composition, and individual characteristics of the host including age, digestive efficiency, nutritional status and genetic polymorphisms. Carotenoids are deposited in many human tissues and can be measured using a variety of techniques including high performance liquid chromatography (HPLC) and mass spectrometry (MS). Continued research is necessary to improve dietary intake assessment and establish biologically relevant dose-response relationships in the context of individual variability to advance our understanding of diet, disease risk, and health promotion.


Assuntos
Carotenoides , Carotenoides/metabolismo , Dieta , Alimentos , Humanos , Luteína , Vitamina A
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