Proinflammatory and Hyperinsulinemic Dietary Patterns Are Associated With Specific Profiles of Biomarkers Predictive of Chronic Inflammation, Glucose-Insulin Dysregulation, and Dyslipidemia in Postmenopausal Women

Pro-inflammatory and hyperinsulinaemic dietary patterns are associated with specific gut microbiome profiles: a TwinsUK cohort study

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. In addition, we used PICRUSt2 to predict biological pathways associated with the enriched microbiome profiles, and further screened pathways for associations with the dietary scores in linear regression analyses. Microbiome profile scores developed with 32 (EDIH) and 15 (EDIP) genera were associated with higher insulin and homeostatic model assessment of insulin resistance. Six genera were associated with both dietary scores: Ruminococcaceae_UCG-008, Lachnospiraceae_UCG-008, Defluviitaleaceae_UCG-011 Anaeroplasma, inversely and Negativibacillus, Streptococcus, positively. Further, pathways in fatty acid biosynthesis, sugar acid degradation, and mevalonate metabolism were associated with insulinaemic and inflammatory diets. Dietary patterns that exert metabolic effects on insulin and inflammation may influence chronic disease risk by modulating gut microbial composition and function.

Prenatal Diet and Infant Growth From Birth to Age 24 Months

Importance

Being born either small for gestational age (SGA) or large for gestational age (LGA) and experiencing rapid or slow growth after birth are associated with later-life obesity. Understanding the associations of dietary quality during pregnancy with infant growth may inform obesity prevention strategies.

Objective

To evaluate the associations of prenatal dietary quality according to the Healthy Eating Index (HEI) and the Empirical Dietary Inflammatory Pattern (EDIP) with infant size at birth and infant growth from birth to age 24 months.

Design, Setting, and Participants

This cohort study used data from birthing parent-child dyads in 8 cohorts participating in the Environmental influences on Child Health Outcomes program between 2007 and 2021. Data were analyzed from March 2021 to August 2024.

Exposures

The HEI and the EDIP dietary patterns.

Main Outcomes and Measures

Outcomes of interest were infant birth weight, categorized as SGA, reference range, or LGA, and infant growth from birth to ages 6, 12, and 24 months, categorized as slow growth (weight-for-length z score [WLZ] score difference <-0.67), within reference range (WLZ score difference -0.67 to 0.67), or rapid (WLZ score difference, >0.67).

Results

The study included 2854 birthing parent-child dyads (median [IQR] maternal age, 30 [25-34] years; 1464 [51.3%] male infants). The cohort was racially and ethnically diverse, including 225 Asian or Pacific Islander infants (7.9%), 640 Black infants (22.4%), 1022 Hispanic infants (35.8%), 664 White infants (23.3%), and 224 infants (7.8%) with other race or multiple races. A high HEI score (>80), indicative of a healthier diet, was associated with lower odds of LGA (adjusted odds ratio [aOR], 0.88 [95% CI, 0.79-0.98]), rapid growth from birth to age 6 months (aOR, 0.80 [95% CI, 0.37-0.94]) and age 24 months (aOR 0.82 [95% CI, 0.70- 0.96]), and slow growth from birth to age 6 months (aOR, 0.65 [95% CI, 0.50-0.84]), 12 months (aOR, 0.74 [95% CI, 0.65-0.83]), and 24 months (OR, 0.65 [95% CI, 0.56-0.76]) compared with an HEI score 80 or lower. There was no association between high HEI and SGA (aOR, 1.14 [95% CI, 0.95-1.35]). A low EDIP score (ie, ≤63.6), indicative of a less inflammatory diet, was associated with higher odds of LGA (aOR, 1.24 [95% CI, 1.13-1.36]) and rapid infant growth from birth to age 12 months (aOR, 1.50 [95% CI, 1.18-1.91]) and lower odds of rapid growth to age 6 months (aOR, 0.77 [95% CI, 0.71-0.83]), but there was no association with SGA (aOR, 0.80 [95% CI, 0.51-1.25]) compared with an EDIP score of 63.6 or greater.

Conclusions and Relevance

In this cohort study, a prenatal diet that aligned with the US Dietary Guidelines was associated with reduced patterns of rapid and slow infant growth, known risk factors associated with obesity. Future research should examine whether interventions to improve prenatal diet are also beneficial in improving growth trajectory in children.

Dietary and Lifestyle Insulinemic Potential Indices and Risk Factors of Metabolic Syndrome Among Overweight and Obese Individuals: A Cross-Sectional Study

Background

As a worldwide pandemic, metabolic syndrome (MetS) is related with high disease burden. The emergence of multiple chronic diseases can be attributed to unfavorable dietary and lifestyle choices made by individuals, with hyperinsulinemia and insulin resistance as the underlying causes. Current study sought to assess the relationship between the Empirical Dietary Index for Hyperinsulinemia (EDIH) and the Empirical Lifestyle Index for Hyperinsulinemia (ELIH) and MetS risk factors.

Methods

This cross-sectional study involved 339 individuals between the ages of 20 and 50, who were either obese or overweight, and were recruited from Tabriz, Iran. In this study, a validated semi-quantitative Food Frequency Questionnaire (FFQ) with 168 questions was used to assess individuals' food consumption. Blood tests were performed to assess total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) levels, as well as blood glucose and insulin levels.

Results

After multivariable adjustment, among tertiles of EDIH, systolic blood pressure (SBP) and TG were significantly different. Also, SBP, diastolic blood pressure (DBP), and HDL-C significantly differed across tertiles of ELIH. In multivariate-adjusted models, individuals classified in the highest tertile of EDIH demonstrated elevated ORs in relation to FBG levels [OR: 1.035 (1.004-1.068; P < .05)], and the second tertile of ELIH was inversely associated with SBP [OR: 0.966 (0.935-0.999; P < .05)], DBP [OR: 0.972 (0.948-0.997; P < .05)], TG in the model I [OR: 0.991 (0.983-0.999; P < .05)], and model II [OR: 0.991 (0.983-0.999; P < .05)].

Conclusion

Considering the findings of our study, higher insulinemic dietary potential, indicated by EDIH, can be related to higher odds of FBG and decreased odds of TG as risk factors of MetS. Furthermore, our findings suggest that individuals with a higher ELIH may potentially exhibit lower SBP and DBP levels. Nevertheless, further experimental and long-term investigations are necessary to fully comprehend this association.

Developing and evaluating the construct validity of a dietary pattern predictive of plasma TMAO and choline

BACKGROUND AND AIMS

The metabolism of choline (highly present in animal products) can produce trimethylamine N-oxide (TMAO), a metabolite with atherosclerotic effects; however, dietary fiber may suppress this metabolic pathway. This study aimed to develop a dietary pattern predictive of plasma TMAO and choline concentrations using reduced rank regression (RRR) and to evaluate its construct validity.

METHODS AND RESULTS

Diet and plasma concentrations of choline (μmol/L) and TMAO (μmol/L) were assessed in 1724 post-menopausal women who participated in an ancillary study within the Women's Health Initiative Observational Study (1993-1998). The TMAO dietary pattern was developed using RRR in half of the sample (Training Sample) and applied to the other half of the sample (Validation Sample) to evaluate its construct validity. Energy-adjusted food groups were the predictor variables and plasma choline and TMAO, the response variables. ANCOVA and linear regression models were used to assess associations between each biomarker and the dietary pattern score. Discretionary fat, potatoes, red meat, and eggs were positively associated with the dietary pattern, while yogurt, fruits, added sugar, and starchy vegetables were inversely associated. Mean TMAO and choline concentrations significantly increased across increasing quartiles of the dietary pattern in the Training and Validation samples. Positive associations between the biomarkers and the TMAO dietary pattern were also observed in linear regression models (Validation Sample: TMAO, adjusted beta-coefficient = 0.037 (p-value = 0.0088); Choline, adjusted beta-coefficient = 0.011 (p-value = 0.0224).

CONCLUSION

We established the TMAO dietary pattern, a dietary pattern reflecting the potential of the diet to contribute to plasma concentrations of TMAO and choline.

The association of dietary indices for hyperinsulinemia and insulin resistance with the risk of metabolic syndrome: a population-based cross-sectional study

We aimed to investigate the association between an empirical dietary index for hyperinsulinemia (EDIH), empirical dietary index for insulin resistance (EDIR), and MetS and its components in an adult Iranian population. In this cross-sectional study, a total of 6482 participants aged 35-65 years were recruited as part of the MASHAD cohort study. Dietary intakes were assessed using a validated food frequency questionnaire (FFQ). The International Diabetes Federation (IDF) criteria were used to define MetS. Multivariable logistic regression models were applied to determine the association between EDIH, EDIR, and MetS and its components. The mean age and BMI of participants were 48.44±8.20 years, and 27.98±4.73 kg/m2, respectively. Around 59% of the population was female. Of the total population, 35.4% had MetS. According to the full-adjusted model, there was no significant association between higher quartiles of EDIH and EDIR and odds of MetS (Q4 EDIH; OR (95%CI):0.93 (0.74-1.18), Q4 EDIR; OR (95%CI):1.14 (0.92-1.40). Regarding MetS components, EDIR was associated with increased odds of hypertension and diabetes (Q4 EDIR; OR (95%CI):1.22 (1.04-1.44) and 1.22 (1.01-1.47), respectively). EDIH was also associated with decreased odds of hypertriglyceridemia (Q4 EDIH; OR (95%CI): 0.72 (0.60-0.87)). This study showed no significant association between hyperinsulinemia and insulin resistance potential of diet and odds of MetS among Iranian adults. However, EDIR was significantly associated with increased odds of hypertension and diabetes as MetS components.

The association between dietary insulin index and dietary insulin load with rheumatoid arthritis

This study was designed to assess the relationship between dietary insulin index (DII) and dietary insulin load (DIL) and rheumatoid arthritis (RA) risk in a case-control study. This study enrolled ninety-five newly diagnosed RA patients and 200 age- and sex-matched healthy controls. Dietary intakes were assessed using a validated 168-item semi-quantitative FFQ. DII and DIL were calculated using food insulin index values from previously published data. In the unadjusted model, individuals in the highest DIL tertile had the significantly higher odds of RA than those in the lowest tertile of the DIL scores (OR = 1·32, 95 % CI (1·15, 1·78), Pfor trend = 0·009). After adjusting for confounders, the risk of RA was 2·73 times higher for participants in the highest tertile of DIL than for those in the lowest tertile (OR = 2·73, 95 % CI (1·22, 3·95), Pfor trend < 0·001). In addition, patients in the highest DII tertile had higher risk of RA than those in the first tertile (OR = 2·22, 95 % CI (1·48, 3·95), Pfor trend = 0·008). This association persisted after adjusting for potential confounders (OR = 3·75, 95 % CI (3·18, 6·78), Pfor trend = 0·002). Our findings suggest that diets high in DII and DIL may increase the risk of developing RA, independent of other potential confounders. These findings can be verified by more research, particularly with a prospective design.

The metabolic potential of inflammatory and insulinaemic dietary patterns and risk of type 2 diabetes

AIMS/HYPOTHESIS

Diets with higher inflammatory and insulinaemic potential have been associated with an increased risk of type 2 diabetes. However, it remains unknown whether plasma metabolomic profiles related to proinflammatory/hyperinsulinaemic diets and to inflammatory/insulin biomarkers are associated with type 2 diabetes risk.

METHODS

We analysed 6840 participants from the Nurses' Health Study and Health Professionals Follow-up Study to identify the plasma metabolome related to empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), four circulating inflammatory biomarkers and C-peptide. Dietary intakes were assessed using validated food frequency questionnaires. Plasma metabolomic profiling was conducted by LC-MS/MS. Metabolomic signatures were derived using elastic net regression. Multivariable Cox regression was used to examine associations of the metabolomic profiles with type 2 diabetes risk.

RESULTS

We identified 27 metabolites commonly associated with both EDIP and inflammatory biomarker z score and 21 commonly associated with both EDIH and C-peptide. Higher metabolomic dietary inflammatory potential (MDIP), reflecting higher metabolic potential of both an inflammatory dietary pattern and circulating inflammatory biomarkers, was associated with higher type 2 diabetes risk. The HR comparing highest vs lowest quartiles of MDIP was 3.26 (95% CI 2.39, 4.44). We observed a strong positive association with type 2 diabetes risk for the metabolomic signature associated with EDIP-only (HR 3.75; 95% CI 2.71, 5.17) or inflammatory biomarkers-only (HR 4.07; 95% CI 2.91, 5.69). In addition, higher metabolomic dietary index for hyperinsulinaemia (MDIH), reflecting higher metabolic potential of both an insulinaemic dietary pattern and circulating C-peptide, was associated with greater type 2 diabetes risk (HR 3.00; 95% CI 2.22, 4.06); further associations with type 2 diabetes were HR 2.79 (95% CI 2.07, 3.76) for EDIH-only signature and HR 3.89 (95% CI 2.82, 5.35) for C-peptide-only signature. The diet scores were significantly associated with risk, although adjustment for the corresponding metabolomic signature scores attenuated the associations with type 2 diabetes, these remained significant.

CONCLUSIONS/INTERPRETATION

The metabolomic signatures reflecting proinflammatory or hyperinsulinaemic diets and related biomarkers were positively associated with type 2 diabetes risk, supporting that these dietary patterns may influence type 2 diabetes risk via the regulation of metabolism.

Dietary and lifestyle indices for hyperinsulinemia and colorectal cancer risk: a case-control study

BACKGROUND

The incidence of colorectal cancer (CRC) has increased in Iran, and determining the dietary patterns that can contribute to reducing or increasing the risk of CRC will help better control this disease. Therefore, in the current study, we assessed the association between the empirical lifestyle index for hyperinsulinemia (ELIH) and the empirical dietary index for hyperinsulinemia (EDIH) with the CRC odds.

METHODS

The present case (n = 71)-control (n = 142) study was carried out in several CRC surgical units of hospitals in Tehran, Iran. A semi-quantitative food frequency questionnaire containing 168 items was used to assess participants' dietary intakes. The EDIH and ELIH scores were calculated by food groups and some variables such as body mass index and physical activity. Logistic regression models were applied to evaluate the association between the EDIH and ELIH scores with CRC odds.

RESULTS

According to baseline features of the study participants, there were significant differences between the controls and cases in ELIH score, fiber intake, taking aspirin, and family history of CRC in first- and second-degree relatives. Also, we found that the odds of CRC increased significantly in the last tertile compared to the first tertile in EDIH and ELIH in the adjusted model (odds ratio (OR) = 3.12; 95% confidence interval (CI): 1.30-7.48 and OR = 4.72; 95% CI: 1.15-19.39, respectively).

CONCLUSIONS

In conclusion, the result of this study indicated that CRC odds was significantly greater in subjects with higher EDIH and ELIH scores. Also, according to the results of this study, lifestyle and diet with insulinemic potential can influence the CRC risk.

Associations of dietary patterns with kidney cancer risk, kidney cancer-specific mortality and all-cause mortality among postmenopausal women

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.

Association of dietary insulinemic and inflammatory potential with risk of liver cancer and chronic liver disease mortality in postmenopausal women: a prospective cohort study

BACKGROUND

Low diet quality, diabetes, and chronic inflammation are risk factors of liver cancer and chronic liver disease (CLD), but the extent to which insulinemic and inflammatory diets are independently associated with risk of liver cancer and CLD mortality is unknown.

METHODS

We conducted a prospective cohort analysis among 78,356 postmenopausal women in the Women's Health Initiative Observational Study. Two validated dietary indices, the empirical dietary index for hyperinsulinemia (EDIH) and the empirical dietary inflammation pattern (EDIP), were estimated from a food-frequency questionnaire. Incident cases of liver cancer and CLD mortality were adjudicated via review of medical records and linkage to National Death Index. Multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards models, adjusted for age, diabetes, body mass index, and other covariates.

RESULTS

During a median 22.1 y of follow-up, we documented 176 primary liver cancer cases and 156 CLD mortality cases. EDIH was positively associated with incident liver cancer (HRQuartile 4 vs. Quartile 1 = 1.68; 95% CI: 1.00, 2.83; P-trend = 0.05) and CLD mortality (HRQ4 vs. Q1 = 2.28; 95% CI: 1.25, 4.15; P-trend = 0.02) in the multivariable model. EDIP was also positively associated with liver cancer (HRQ4 vs. Q1 = 1.88; 95% CI: 1.17, 3.03; P-trend = 0.009) and CLD mortality (HRQ4 vs. Q1 = 1.85; 95% CI: 1.09, 3.15; P-trend = 0.007). Estimates remained significant and robust in sensitivity analyses. Further analyses indicated positive associations for refined grains, processed meat, sugary beverages, and eggs, and inverse associations for coffee/tea and poultry.

CONCLUSIONS

Dietary insulinemic and inflammatory potentials were independently associated with higher risk of liver cancer and CLD mortality in U.S. postmenopausal women. These findings suggest a potential role for diet modification to reduce risk of liver cancer and CLD.

Dietary inflammatory patterns are associated with serum triglycerides and insulin in adults: A community-based study in Taiwan

BACKGROUND

Dietary patterns related to inflammation have become a focus of disease prevention but the patterns may vary among populations.

OBJECTIVE

The study was conducted to determine Taiwanese dietary inflammatory patterns and evaluate their associations with biomarkers of lipid and glucose METHODS: Data were taken from 5,664 community-dwelling individuals aged ≥55 years old recruited in 2009 - 2013 in the Healthy Aging Longitudinal Study in Taiwan (HALST). Dietary data were obtained from a food frequency questionnaire. An empirical dietary inflammatory pattern (EDIP) was derived from reduced rank regression models that explained the serum hsCRP, plasma IL-6, and TNFR1. Cross-sectional associations between dietary scores and biomarkers of total cholesterol (TC); high-density lipoprotein cholesterol (HDLC); low-density lipoprotein cholesterol, triglyceride (TG); and ratios of TG/HDLC, TG/TC, fasting glucose, insulin, and HbA1c were analyzed via multiple linear regression and adjusted for major confounders. The false discovery rate (FDR)-adjusted p <0.05 was considered statistically significant. Abdominal obesity was defined as a waist circumference of ≥90 cm for men and ≥80 cm for women.

RESULTS

Higher EDIP-HALST scores were associated with higher TG (per score increment: 1.62%, 95% CI: 0.58-2.76%; p_FDR=0.01), TG/HDLC (2.01%, 0.67-3.37%; p_FDR=0.01), and TG/TC (1.42%, 0.41-2.43%; p_FDR=0.01) and nonlinearly associated with insulin, with those in the middle tertile had the highest serum insulin concentrations (means: 5.12 μIU/mL, 4.78-5.78; p_FDR =0.04) in men, but not in women. No heterogeneity was detected between sexes. The associations with TG (1.23%, 0.19-2.23%; p_trend=0.02), TG/HDLC (1.62%, 0.30-2.96%; p_trend=0.02), and TG/TC (1.11%, 0.11-2.13%; p_trend=0.03) were stronger in participants with abdominal obesity, but were borderline associated in participants with normal abdominal circumferences (all p_trend=0.05).

CONCLUSIONS

Inflammatory diets, as measured via EDIP-HALST, were associated with serum TG concentration, particularly in participants with abdominal obesity. These findings may suggest that developing disease prevention strategies using dietary inflammatory patterns may be different by populations.

Hyperinsulinemic and Pro-Inflammatory Dietary Patterns and Metabolomic Profiles Are Associated with Increased Risk of Total and Site-Specific Cancers among Postmenopausal Women

We evaluated associations of the Empirical Dietary Index for Hyperinsulinemia (EDIH), Empirical Dietary Inflammatory Pattern (EDIP) and Healthy Eating Index (HEI2015) and their metabolomics profiles with the risk of total and site-specific cancers. We used baseline food frequency questionnaires to calculate dietary scores among 112,468 postmenopausal women in the Women's Health Initiative. We used multivariable-adjusted Cox regression to estimate hazard ratios (HR) and 95% confidence intervals for cancer risk estimation. Metabolomic profile scores were derived using elastic-net regression with leave-one-out cross validation. In over 17.8 years, 18,768 incident invasive cancers were adjudicated. Higher EDIH and EDIP scores were associated with greater total cancer risk, and higher HEI-2015 with lower risk: HRQ5vsQ1(95% CI): EDIH, 1.10 (1.04-1.15); EDIP, 1.08 (1.02-1.15); HEI-2015, 0.93 (0.89-0.98). The multivariable-adjusted incidence rate difference(Q5vsQ1) for total cancer was: +52 (EDIH), +41 (EDIP) and -49 (HEI-2015) per 100,000 person years. All three indices were associated with colorectal cancer, and EDIH and EDIP with endometrial and breast cancer risk. EDIH was further associated with luminal-B, ER-negative and triple negative breast cancer subtypes. Dietary patterns contributing to hyperinsulinemia and inflammation were associated with greater cancer risk, and higher overall dietary quality, with lower risk. The findings warrant the testing of these dietary patterns in clinical trials for cancer prevention among postmenopausal women.

Optimal dietary patterns for prevention of chronic disease

Multiple dietary patterns have been associated with different diseases; however, their comparability to improve overall health has yet to be determined. Here, in 205,852 healthcare professionals from three US cohorts followed for up to 32 years, we prospectively assessed two mechanism-based diets and six diets based on dietary recommendations in relation to major chronic disease, defined as a composite outcome of incident major cardiovascular disease (CVD), type 2 diabetes and cancer. We demonstrated that adherence to a healthy diet was generally associated with a lower risk of major chronic disease (hazard ratio (HR) comparing the 90th with the 10th percentile of dietary pattern scores = 0.58-0.80). Participants with low insulinemic (HR = 0.58, 95% confidence interval (CI) = 0.57, 0.60), low inflammatory (HR = 0.61, 95% CI = 0.60, 0.63) or diabetes risk-reducing (HR = 0.70, 95% CI = 0.69, 0.72) diet had the largest risk reduction for incident major CVD, type 2 diabetes and cancer as a composite and individually. Similar findings were observed across gender and diverse ethnic groups. Our results suggest that dietary patterns associated with markers of hyperinsulinemia and inflammation and diabetes development may inform on future dietary guidelines for chronic disease prevention.

Dietary patterns and risk of colorectal cancer: a comparative analysis

BACKGROUND

Although several dietary patterns have been associated with incident colorectal cancer (CRC), it is unclear which diet is optimal.

METHODS

Participants included 48 409 men and 169 772 women from three USA-based prospective cohort studies. We compared the associations of 18 dietary patterns with CRC risk, including two reference scores. The reference scores were derived based on the dietary recommendations for cancer prevention and CRC-specific dietary risk factors mentioned in the 2018 World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR) Third Expert Report. Multivariable Cox proportional hazards models were fitted to estimate hazard ratios (HRs) and 95% CIs.

RESULTS

Most dietary patterns showed moderate correlations with the WCRF dietary score (absolute values of Spearman correlation coefficients: 0.45-0.63), except the Plant-based diet index, low-carbohydrate diets, the Empirical dietary index for hyperinsulinemia (EDIH) and Empirical dietary inflammation pattern (EDIP). HR for the 10th-90th percentile difference in the score was 0.86 (95% CI: 0.78-0.94) for the Dietary Approaches to Stop Hypertension score (DASH), 1.15 (1.06-1.26) for Western dietary pattern, 1.20 (1.10-1.31) for EDIH and 1.23 (1.13-1.34) for EDIP. These associations between patterns and CRC risk persisted after adjusting for the two reference scores.

CONCLUSIONS

Although further research is needed to improve the WCRF/AICR dietary recommendations, our comprehensive assessment of dietary patterns revealed that the DASH, Western dietary pattern, EDIH and EDIP may be the most relevant diets for preventing CRC.

Healthy lifestyle behaviors, mediating biomarkers, and risk of microvascular complications among individuals with type 2 diabetes: A cohort study

BACKGROUND

The influence of overall lifestyle behaviors on diabetic microvascular complications remains unknown. In addition, the potential mediating biomarkers underlying the association is unclear. This study aimed to examine the associations of the combined lifestyle factors with risks of total and individual microvascular complications among patients with type 2 diabetes (T2D) and to explore the potential mediation effects of metabolic biomarkers.

METHODS AND FINDINGS

This retrospective cohort study included 15,104 patients with T2D free of macro- and microvascular complications at baseline (2006 to 2010) from the UK Biobank. Healthy lifestyle behaviors included noncurrent smoking, recommended waist circumference, regular physical activity, healthy diet, and moderate alcohol drinking. Outcomes were ascertained using electronic health records. Over a median of 8.1 years of follow-up, 1,296 cases of the composite microvascular complications occurred, including 558 diabetic retinopathy, 625 diabetic kidney disease, and 315 diabetic neuropathy, with some patients having 2 or 3 microvascular complications simultaneously. After multivariable adjustment for sociodemographic characteristics, history of hypertension, glycemic control, and medication histories, the hazard ratios (95% confidence intervals (CIs)) for the participants adhering 4 to 5 low-risk lifestyle behaviors versus 0 to 1 were 0.65 (0.46, 0.91) for diabetic retinopathy, 0.43 (0.30, 0.61) for diabetic kidney disease, 0.46 (0.29, 0.74) for diabetic neuropathy, and 0.54 (0.43, 0.68) for the composite outcome (all Ps-trend ≤0.01). Further, the population-attributable fraction (95% CIs) of diabetic microvascular complications for poor adherence to the overall healthy lifestyle (<4 low-risk factors) ranged from 25.3% (10.0%, 39.4%) to 39.0% (17.7%, 56.8%). In addition, albumin, HDL-C, triglycerides, apolipoprotein A, C-reactive protein, and HbA1c collectively explained 23.20% (12.70%, 38.50%) of the associations between overall lifestyle behaviors and total diabetic microvascular complications. The key limitation of the current analysis was the potential underreporting of microvascular complications because the cases were identified via electronic health records.

CONCLUSIONS

Adherence to overall healthy lifestyle behaviors was associated with a significantly lower risk of microvascular complications in patients with T2D, and the favorable associations were partially mediated through improving biomarkers of glycemic control, systemic inflammation, liver function, and lipid profile.

Insulinemic potential of diet and risk of total and subtypes of breast cancer among US females

BACKGROUND

Insulin resistance and hyperinsulinemia play important roles in the progression of multiple chronic disease and conditions. Diet modulates insulin response; however, evidence is limited regarding whether diets with higher insulinemic potential increase the risk of invasive breast cancer.

OBJECTIVES

We aimed to prospectively evaluate the association between a food-based empirical dietary index for hyperinsulinemia (EDIH) and the incidence of invasive breast cancer.

METHODS

We prospectively followed 76,686 women from the Nurses' Health Study (NHS; 1984-2016) and 93,287 women from the Nurses' Health Study II (NHSII; 1991-2017). Diet was assessed by food-frequency questionnaires every 4 y. The insulinemic potential of diet was evaluated using the previously established EDIH based on circulating C-peptide concentrations. Higher scores indicate higher insulinemic potential of the diet. Covariates included reproductive, hormonal, and anthropometric factors (height and BMI at age 18 y); race; socioeconomic status; total alcohol intake; total caloric intake; and physical activity.

RESULTS

During 4,216,106 person-years of follow-up, we documented 10,602 breast cancer cases (6689 NHS, 3913 NHSII). In the pooled multivariable-adjusted analyses, women in the highest, compared with the lowest, EDIH quintile (Q) were at higher breast cancer risk (HRQ5 vs. Q1 = 1.15; 95% CI: 1.07, 1.24; P-trend < 0.01). Although heterogeneity by estrogen receptor (ER) status was nonsignificant, the strongest association between EDIH and breast cancer was observed for ER-negative tumors (HRQ5 vs. Q1 = 1.21; 95% CI: 1.00, 1.46; P-trend = 0.02). Among tumor molecular subtypes, the strongest associations were observed for human epidermal growth factor receptor 2 (HER2)-enriched tumors (HRQ5 vs. Q1 = 1.62; 95% CI: 1.01, 2.61; P-trend = 0.02).

CONCLUSIONS

A dietary pattern contributing to hyperinsulinemia and insulin resistance was associated with greater breast cancer risk, especially ER-negative and HER2-enriched tumors. Our findings suggest that dietary modifications to reduce insulinemic potential may reduce the risk of breast cancer.

Overall diet quality and proinflammatory diet in relation to risk of obstructive sleep apnea in 3 prospective US cohorts

BACKGROUND

Inflammation-related mechanisms may be important in the development of obstructive sleep apnea (OSA), and diet plays a crucial role in modulating inflammation. Current epidemiologic evidence for the associations between dietary patterns and OSA risk is limited to cross-sectional studies.

OBJECTIVES

We investigated prospectively the associations of overall diet quality and proinflammatory diet with OSA risk.

METHODS

We followed 145,801 participants in the Nurses' Health Study (NHS) (2002-2012), NHS II (1995-2013), and Health Professionals Follow-up Study (1996-2012). Alternative Healthy Eating Index 2010 (AHEI) and Empirical Dietary Inflammatory Pattern (EDIP) scores were calculated based on validated FFQs administered every 4 y. Cox models were used to estimate HRs and 95% CIs.

RESULTS

We documented 8856 incident OSA cases during follow-up. In pooled analyses adjusted for potential confounders, higher diet quality (higher AHEI scores) was associated with lower OSA risk (HR comparing the highest with the lowest quintile of AHEI: 0.76; 95% CI: 0.71, 0.82; P-trend < 0.001), and higher dietary inflammatory potential (higher EDIP scores) was associated with significantly increased risk (HR comparing the highest with the lowest quintile of EDIP: 1.94; 95% CI: 1.81, 2.08; P-trend < 0.001). Additional adjustment for metabolic factors attenuated both associations. The association with AHEI score was no longer statistically significant (comparable HR: 0.98; 95% CI: 0.91, 1.05; P-trend = 0.54), whereas the association with EDIP score remained statistically significant (comparable HR: 1.31; 95% CI: 1.22, 1.41; P-trend < 0.001).

CONCLUSIONS

A healthier diet, particularly one with anti-inflammatory potential, was associated with lower OSA risk.

Postdiagnostic Inflammatory, Hyperinsulinemic, and Insulin-Resistant Diets and Lifestyles and the Risk of Prostate Cancer Progression and Mortality

BACKGROUND

Inflammatory and insulin pathways have been linked to prostate cancer; postdiagnostic behaviors activating these pathways may lead to poor outcomes. The empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), and empirical dietary index for insulin resistance (EDIR), and associated lifestyle indices (ELIH, ELIR) predict biomarkers of inflammation (EDIP: IL6, TNFaR2, CRP) and insulin secretion (EDIH/ELIH: c-peptide; EDIR/ELIR: TAG:HDL) from whole foods and behaviors.

METHODS

Associations of these indices with time to prostate cancer progression (primary, n = 2,056) and prostate cancer-specific mortality (PCSM; secondary, n = 2,447) were estimated among men diagnosed with nonmetastatic prostate cancer in the Cancer of the Prostate Strategic Urologic Research Endeavor cohort diet and lifestyle sub-study. Because the true (versus clinically documented) date of progression is unobserved, we used parametric (Weibull) survival models to accommodate interval-censoringand estimated adjusted HR and 95% confidence intervals (CI) for prostate cancer progression per 1-SD increase in index. Cox proportional hazards models were used to estimate PCSM associations.

RESULTS

During a median [interquartile range (IQR)] 6.4 years (IQR, 1.3-12.7), 192 progression and 73 PCSM events were observed. Inflammatory (EDIP: HR, 1.27; CI, 1.17-1.37), hyperinsulinemic (EDIH: HR, 1.24; CI, 1.05-1.46. ELIH: HR, 1.34; CI, 1.17-1.54), and insulin-resistant (EDIR: HR, 1.22; CI, 1.00-1.48. ELIR: HR, 1.36; CI, 1.12-1.64) indices were positively associated with risk of prostate cancer progression. There was no evidence of associations between the indices and PCSM.

CONCLUSIONS

Both inflammatory and insulinemic dietary and lifestyle patterns are associated with risk of prostate cancer progression.

IMPACT

For men with prostate cancer, consuming dietary patterns that limit chronic systemic inflammation and insulin hypersecretion may improve survivorship, especially when coupled with active lifestyle and healthy body weight. See related commentary by Kucuk, p. 1673.

A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care

Simple Summary

For the growing number of cancer survivors worldwide, fatigue presents a major hurdle to function and quality of life. Treatment options for cancer-related fatigue are still emerging, and our current understanding of its etiology is limited. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. We propose that the 3P model may be leveraged—particularly using metabolomics, the microbiome, and inflammation in conjunction with behavioral science—to better understand the pathophysiology of cancer-related fatigue.

Abstract

A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model’s application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.