Type 2 diabetes prevention diet and the risk of pancreatic cancer: A large prospective multicenter study

Pancreatic cancer mortality trends attributable to high fasting blood sugar over the period 1990-2019 and projections up to 2040

Background

Pancreatic cancer (PC) is a prevalent malignancy within the digestive system, with diabetes recognized as one of its well-established risk factors.

Methods

Data on PC mortality attributed to high fasting blood sugar were retrieved from the Global Burden of Disease (GBD) study 2019 online database. To assess the temporal trends of PC burden attributable to high fasting plasma glucose (HFPG), estimated annual percentage changes (EAPCs) for age-standardized death rates (ASDRs) between 1990 and 2019 were determined using a generalized linear model. Furthermore, a Bayesian age-period-cohort (BAPC) model using the integrated nested Laplacian approximation algorithm was employed to project the disease burden over the next 20 years.

Results

Globally, the crude death number of PC attributable to HFPG almost tripled (from 13,065.7 in 1990 to 48,358.5 in 2019) from 1990 to 2019, and the ASDR increased from 0.36/100,000 to 0.61/100,000 with an EAPC of 2.04 (95% CI 1.91-2.16). The population aged ≥70 years accounted for nearly 60% of total deaths in 2019 and experienced a more significant increase, with the death number increasing approximately fourfold and the ASDR increasing annually by 2.65%. In regions with different sociodemographic indexes (SDIs), the highest disease burden was observed in the high-SDI region, whereas more pronounced increasing trends in ASDR were observed in the low to middle-SDI, low-SDI, and middle-SDI regions. Additionally, a significantly negative association was found between EAPCs and ASDRs of PC attributable to HFPG from 1990 to 2019. Moreover, the BAPC model predicts that ASDR and age-standardized disability-adjusted life-years (DALYs) rate for PC attributed to HFPG was projected to increase obviously for men and women from 2019 to 2040.

Conclusions

The burden of PC attributed to HFPG has increased globally over the past three decades, with the elderly population and high-SDI regions carrying a relatively greater disease burden, but more adverse trends observed in low-SDI areas. Furthermore, the burden is projected to continue increasing over the next 20 years. Hence, more tailored prevention methodologies should be established to mitigate this increasing trend.

Diabetes Risk Reduction Diet (DRRD) and Breast Cancer Risk: A Review

BACKGROUND

Considering the significant involvement of insulin resistance in various forms of cancer, it is postulated that the implementation of a diabetic diet, which effectively mitigates insulin resistance, may potentially decrease the susceptibility to breast cancer among female individuals.

METHODS

In this literature review, a comprehensive electronic search of different databases was done using the keywords "Breast cancer" OR "breast tumor" OR "Breast Neoplasms" AND "diet" OR "diabetic diet" OR "Low Carbohydrate Diet" OR "Carbohydrate restricted diet" OR "High-Protein Low-Carbohydrate Diet" OR "diabetes risk reduction diet" OR "DRRD" as the main keywords.

RESULTS

Research has shown that the DRRD score is inversely correlated with breast cancer risk. In fact, for every three-point increase in the DRRD score, the risk of breast cancer decreases by 7%. Studies have shown that higher DRRD scores in breast cancer patients are associated with a reduced risk of cancer and a higher chance of survival.

CONCLUSION

The results of this study indicate a positive correlation between a higher level of adherence to the diabetes risk reduction diet (DRRD) and improved survival rates. This suggests that breast cancer survivors may benefit from making dietary modifications in line with a diabetic diet following their diagnosis.

Diabetes Risk Reduction Diet and Colorectal Cancer Risk

BACKGROUND

Diabetes has been associated with colorectal cancer. We evaluated whether adherence to a diabetes risk reduction diet (DRRD) can favorably influence the risk of colorectal cancer.

METHODS

Data came from a multicentric Italian case-control study including 1,953 histologically confirmed colorectal cancer cases and 4,154 hospital controls admitted for acute nonneoplastic diseases. Diet was assessed through a validated and reproducible food frequency questionnaire. The DRRD score was computed assigning higher values for higher consumption of cereal fiber, fruit, coffee, nuts and a higher polyunsaturated/saturated fats ratio and for lower glycemic index and lower consumption of red/processed meat and sweetened beverages and fruit juices. The ORs and the corresponding 95% confidence intervals (CI) of colorectal cancer according to the DRRD score were obtained using logistic regression models adjusting for total energy intake and other major confounders.

RESULTS

The DRRD was inversely related to colorectal cancer risk. The ORs of colorectal cancer were 0.77 (95% CI, 0.67-0.89) for the third versus first score tertile (Ptrend < 0.001) and 0.92 (95% CI, 0.87-0.96) for a 3-point increment in the score. Inverse associations were observed for colon and rectal cancers and were consistent in strata of sex, age, and other major covariates.

CONCLUSIONS

A higher adherence to a DRRD was inversely associated with colorectal cancer risk.

IMPACT

Given the high incidence and mortality rates of colorectal cancer, adherence to a DRRD can have relevant prevention and public health implications.

A Comparative Study of Healthy Dietary Patterns for Incident and Fatal Digestive System Cancer

INTRODUCTION

We examined multiple dietary patterns in relation to total digestive system cancer (DSC) incidence and death.

METHODS

A total of 213,038 health professionals from the Health Professionals Follow-up Study (1986-2016), the Nurses' Health Study (1986-2018), and the Nurses' Health Study II (1991-2017) with no cancer diagnosis at baseline were analyzed. DSC incidence and death were estimated using time-varying Cox proportional hazards regression models.

RESULTS

During up to 32 years of follow-up, 5,724 DSC cases accrued. Adherence to 8 healthy diet patterns was associated with a 7%-13% lower risk of DSC, particularly for digestive tract cancers. An inverse association with gastrointestinal tract cancer was also shown for all pattern scores except Alternate Mediterranean Diet and the healthful Plant-based Diet Index, with hazard ratios between 0.84 and 0.89. Inverse associations were shown for the reversed empirical dietary index for hyperinsulinemia (hazard ratio for 90th vs 10th percentile 0.64, 95% confidence interval [CI] 0.47-0.87) and the empirical dietary index associated with lower inflammation (rEDIP) (0.53, 95% CI 0.39-0.72) for stomach cancer, and for the rEDIP (0.58, 95% CI 0.37-0.92) for small intestine cancer. Among accessory cancers, the Alternate Healthy Eating Index-2010, alternate Mediterranean diet, and diabetes risk reduction diet were associated with a 43%-51% lower risk of liver cancer. The reversed empirical dietary index for hyperinsulinemia, rEDIP, and the Alternate Healthy Eating Index-2010 were inversely associated with the risk of fatal DSC.

DISCUSSION

Adherence to healthy diets was associated with a lower risk of incident and fatal DSC, although the magnitude of the association varied slightly among the patterns.

Adherence to diabetes risk reduction diet and the risk of head and neck cancer: a prospective study of 101,755 American adults

Background

Adherence to the diabetes risk reduction diet (DRRD) may potentially reduce the risk of developing head and neck cancer (HNC) as the diet includes fruits and limits red and processed meats, known risk factors for HNC. However, there is currently no epidemiological research to investigate this potential association.

Methods

The present study utilized data on demographics, lifestyles, medications, and diets of participants from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial to explore the potential association between adherence to DRRD and the risk of HNC. We used a DRRD score to evaluate adherence to the dietary pattern and employed Cox regression analysis to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for HNC risk. Several subgroup analyses were carried out to identify potential effect modifiers, and multiple sensitivity analyses were performed to evaluate the stability of the correlation. The nine components of the DRRD was assessed separately for its association with the risk of HNC.

Results

During a mean follow up of 8.84 years, 279 cases of HNC were observed. DDRD score was found to be inversely associated with the risk of HNC (HR Q4 vs. Q1: 0.582; 95% CI: 0.396, 0.856; p = 0.005 for trend) in a linear dose-response manner (p = 0.211 for non-linearity). Subgroup analysis indicated this inverse correlation was more pronounced among participants who had never smoked (HRQ4 vs. Q1: 0.193; 95% CI: 0.073, 0.511; p < 0.001 for trend) compared to current or former smokers (p = 0.044 for interaction). The primary association of DDRD and HNC risk remained robust after several sensitivity analyses. Regarding the individual components of DRRD, an inverse association was also observed between the risk of HNC and increased intake of cereal fiber and whole fruit (all p < 0.05 for trend).

Conclusion

Our findings provide evidence that following the DRRD pattern may reduce the risk of NHC, especially for non-smokers.

Diabetes risk reduction diet and ovarian cancer risk: an Italian case-control study

PURPOSE

To investigate the relation between a diabetes risk reduction diet (DRRD) and ovarian cancer.

METHODS

We used data from a multicentric case-control study conducted in Italy, including 1031 incident ovarian cancer cases and 2411 controls admitted to hospital centres for acute non-malignant disease. Subjects' diet prior to hospital admission was collected using a validated food frequency questionnaire. Adherence to the DRRD was measured using a score based on 8 dietary components, giving higher scores for greater intakes of cereal fiber, coffee, fruit, nuts, higher polyunsaturated to saturated fatty acids ratio, lower glycemic index of diet, and lower intakes of red/processed meat, and sweetened beverages/and fruit juices. Higher scores indicated greater adherence to the DRRD. Multiple logistic regression models were fitted to calculate the odds ratios (OR) of ovarian cancer and the corresponding 95% confidence intervals (CI) for approximate quartiles of the DRRD score.

RESULTS

The DRRD score was inversely related to ovarian cancer, with an OR of 0.76 (95%CI: 0.60-0.95) for the highest versus the lowest quartile of the score (p for trend = 0.022). The exclusion of women with diabetes did not change the results (OR = 0.75, 95%CI: 0.59-0.95). Inverse associations were observed in strata of age, education, parity, menopausal status, and family history of ovarian/breast cancer.

CONCLUSION

Higher adherence to a diet aimed at reducing the risk of diabetes was inversely associated with ovarian cancer. Further evidence from prospective investigations will be useful to support our findings.

Low-fat dairy consumption and the risk of lung cancer: A large prospective cohort study

BACKGROUND

Despite the possible contribution of dairy products to the development or prevention of cancers, there is a lack of epidemiological evidence linking low-fat dairy consumption to the risk of developing lung cancer. This research was conducted to fill this knowledge gap.

METHODS

The data for this research were collected from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. The Cox proportional risk model was employed to evaluate the link between low-fat dairy consumption and the risk of developing lung cancer. Hazard ratios (HRs) and 95% confidence intervals (CIs) were measured in both unadjusted and adjusted models. A series of predefined subgroup analyses were performed to identify potential effect modifiers, and several sensitivity analyses were conducted to assess the stability of the findings.

RESULTS

The study included data from 98,459 individuals. During a total of 869,807.9 follow-up person-years, 1642 cases of lung cancer were observed, with an incidence of 0.189 cases for every 100 person-years. In the fully adjusted model, participants in the highest quartile of low-fat dairy consumption had a significantly decreased risk of lung cancer compared to the ones in the lowest quartile (HRquartile 4 vs. 1 : 0.769, 95% CI: 0.664, 0.891, ptrend  = 0.005). The restricted cubic spline plot revealed an inverse nonlinear dose-response relationship between low-fat dairy consumption and lung cancer risk (pnonlinearity  = 0.008). Subgroup analyses demonstrated that the inverse association was stronger among participants with higher daily caloric intake (pinteraction  = 0.031). Various sensitivity analyses produced consistent results.

CONCLUSION

Consuming more low-fat dairy products is significantly linked to a reduced risk of developing lung cancer, indicating that an appropriate increase in the use of low-fat dairy products may help prevent lung cancer.

Adherence to diet with higher dietary diabetes risk reduction score is associated with reduced risk of type 2 diabetes incident in Iranian adults

BACKGROUND

The Dietary diabetes risk reduction score (DDRRS) has recently been considered by researchers as a diet quality index to predict the risk of chronic diseases, such as type 2 diabetes (T2D). In this study, we aimed to assess the association of DDRRS with T2D risk in Iranian adults.

METHODS

Subjects aged ≥ 40 years without T2D (n = 2081) were selected for the current study from participants of the Tehran Lipid and Glucose Study (2009-2011) and followed for a mean of 6.01 years. We used the food frequency questionnaire to determine the DDRRS that is characterized by eight components, including higher consumption of nuts, cereal fiber, coffee, and polyunsaturated to saturated fat ratio and lower consumption of red or processed meats, trans fats, sugar-sweetened beverages, and high glycemic index foods. The multivariable logistic regression analysis was used to determine the odds ratio (ORs) and 95% confidence interval (CI) of T2D across the DDRRS tertiles.

RESULTS

The mean ± SD age of individuals was 50.4 ± 8.2 years at baseline. The Median (25-75 interquartile range) DDRRS of the study population was 24(22-27). During the study follow-up, 233(11.2%) new cases of T2D were ascertained. In the age and sex-adjusted model, the odds of T2D were decreased across tertiles of DDRRS (OR = 0.68; 95%CI: 0.48-0.97, P for trend = 0.037). Based on the multivariable-adjusted model, after controlling all potential confounders, the risk of T2D is reduced across tertiles of DDRRS (OR = 0.66; 95%CI: 0.44-0.98, P for trend = 0.047). Also, higher scores (lower consumption) of red and processed meat (OR = 0.59; 95%CI: 0.39-0.88, P = 0.012) and sugar-sweetened beverages (OR = 0.49; 95%CI: 0.32-0.76, P = 0.002) as DDRRS components were associated with decreased T2D incident.

CONCLUSIONS

Our findings suggested that a diet with a higher score of DDRRS may be related to reducing the risk of T2D in Iranian adults.

Association between dietary approaches to stop hypertension eating pattern and lung cancer risk in 98,459 participants: results from a large prospective study

Background

Dietary approaches to stop hypertension (DASH) eating pattern is linked to anti-inflammatory responses and antioxidation, which overlap with the pathogenesis of lung cancer. However, there is insufficient epidemiological evidence to link this dietary pattern to lung cancer risk conclusively.

Aim

To determine if adherence to the DASH diet is linked to a lower risk of developing lung cancer in a large prospective study.

Methodology

The data of participants were retrieved from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. A DASH score was calculated based on 8 dietary components to reflect adherence to DASH, with greater scores representing higher adherence. Three Cox proportional hazards models were constructed to analyze the association between DASH scores and lung cancer risk, including an unadjusted model and two adjusted models (model 1 for demographics and model 2 for fully confounding factors). A restricted cubic spline plot was utilized to illustrate the likelihood of developing lung cancer across the entire range of DASH scores. The association between each of the 8 DASH components and the risk of lung cancer was assessed separately. Several subgroup analyses were conducted to identify potential modifiers, and several sensitivity analyses were performed to verify the robustness of the findings.

Results

The study involved 98,459 individuals in total. The mean (standard deviation) DASH score was 24.00 (4.62) points, along with the mean follow-up period of 8.84 (1.94) years. Lung cancer was identified in 1642 cases over 869807.9 person-years of follow-up, and the overall incidence rate was 0.189 cases/100 person-years. Participants in the highest quartile in the fully adjusted model had a relatively decreased risk of developing lung cancer in comparison to those in the lowest quartile (HR_{quartile 4 versus 1}: 0.647; 95% CI: 0.557, 0.752; P_trend < 0.001). The restricted cubic spline plot demonstrated that DASH score and lung cancer risk were inversely associated and had a linear dose-response relationship (P_non-linear = 0.944). According to subgroup analyses, those who were current or former smokers had a stronger inverse connection than those who never smoked (P_interaction = 0.013). The results remained robust after several sensitivity analyses.

Conclusion

The risk of lung cancer was inversely associated with DASH scores in the US population. This suggests that following the DASH pattern can help prevent lung cancer, especially for current or former smokers. More epidemiological evidence from other regions and populations is needed to confirm our findings.

Ultra-processed food consumption and the risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial

Whether ultra-processed food consumption is associated with the risk of pancreatic cancer has not been determined. We performed a prospective study to fill this gap. A population-based cohort of 98 265 American adults was identified from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Ultra-processed foods were defined by the NOVA classification. Cox regression was used to estimate hazard ratios (HRs) for pancreatic cancer incidence. Subgroup analysis was performed to identify the potential effect modifiers. During a mean follow-up of 8.86 years, 387 pancreatic cancer cases occurred. High consumption of ultra-processed foods was found to be associated with an increased risk of pancreatic cancer (fully adjusted HR_{quartile 4 vs 1} :1.49; 95% confidence interval [CI]: 1.07-2.07; P_trend  = .021) in a linear dose-response manner (P_nonlinearity  = .075). Subgroup analysis further found that the positive association of ultra-processed food consumption with the risk of pancreatic cancer was more pronounced in subjects aged <65 years (HR_{quartile 4 vs 1} :2.17; 95% CI: 1.14-4.15) than in those aged ≥65 years (HR_{quartile 4 vs 1} :1.32; 95% CI: 0.88-1.94), though the interaction test failed to achieve the statistical significance (P_interaction  = .061). These findings suggest that reducing ultra-processed food consumption may be beneficial in decreasing pancreatic cancer incidence.

A high Diabetes Risk Reduction Score (DRRS) is associated with a better cardio-metabolic profile among obese individuals

BACKGROUND

Dietary indices and scores are valuable predictive markers against chronic diseases. Several previous studies have revealed the beneficial effects of diabetes risk reduction score (DRRS) against diabetes and cancer incidence. However, its association with metabolic abnormalities among obese individuals have not been revealed before. In the current study, we aimed to investigate the association between DRRS and metabolic risk factors among obese individuals.

METHODS

In the current cross-sectional study, 342 obese individuals [Body mass index (BMI) ≥ 30 kg/m2] aged 20-50 years were included. Dietary intake was assessed by a validated semi-quantitative food frequency questionnaire (FFQ) of 168 food items and DRRS was calculated. Metabolic syndrome (MetS) was defined based on the guidelines of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III). Enzymatic methods were used to assess serum lipids, glucose, and insulin concentrations. Blood pressure was measured by a sphygmomanometer and body composition with bioelectrical impedance analysis (BIA).

RESULTS

Those with a higher adherence to DRRS had a significantly higher intake of energy, fiber, and lower protein compared with those in the lower quartiles. Moreover, lower intakes of trans fats, meat, sugar sweetened beverages (SSB), and glycemic index (GI) with higher intakes of fruits, cereal fiber, polyunsaturated fatty acids/ saturated fatty acids (PUFA/ SFA) ratio, coffee, and nuts were observed in the highest versus lowest DRRS categories. Lower systolic blood pressure, diastolic blood pressure, triglyceride and, higher high-density lipoprotein values were observed in higher DRRS categories. Logistic regression analysis showed that hypertension was significantly associated with adherence to DRRS among obese individuals, the odds ratio (OR) was 0.686 (95% confidence interval [CI], 0.26-0.84) after adjustment for potential confounders. But the risk of other components of MetS was not significantly associated with higher quartiles of adherence to DRRS. Also, a non-significantly lower prevalence of MetS was observed in the higher quartile of DRRS.

CONCLUSIONS

According to the results of the current study, higher DRRS was associated with lower blood pressure, modified serum lipids, and lower Mets prevalence. Further studies in different populations are warranted for better generalization of the obtained findings.

Plant-based diets and the risk of pancreatic cancer: a large prospective multicenter study

BACKGROUND

Plant-based diets have been recommended for improving health outcomes, including cancer. However, previous studies on plant-based diets and the risk of pancreatic cancer are scarce and fail to consider plant food quality.

OBJECTIVES

We sought to examine the potential associations of 3 plant-based diet indices (PDIs) with the risk of pancreatic cancer in a US population.

METHODS

A population-based cohort of 101,748 US adults was identified from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. The overall PDI, healthful PDI (hPDI), and unhealthful PDI (uPDI) were constructed to qualify adherence to overall, healthy, and less healthy plant-based diets, respectively, with higher scores indicating better adherence. Multivariable Cox regression was used to compute hazard ratios (HRs) for pancreatic cancer incidence. Subgroup analysis was conducted to identify the potential effect modifiers.

RESULTS

Over a mean follow-up of 8.86 years, 421 pancreatic cancer cases occurred. Participants in the highest compared with the lowest quartiles of overall PDI had a lower risk of pancreatic cancer [HR_{quartile 4 versus 1}: 0.74; 95% confidence interval (CI): 0.57, 0.96; P_trend = 0.023]. A stronger inverse association was observed for hPDI (HR_{quartile 4 versus 1}: 0.56; 95% CI: 0.42, 0.75; P_trend < 0.001). Conversely, uPDI was positively associated with the risk of pancreatic cancer (HR_{quartile 4 versus 1}: 1.38; 95% CI: 1.02, 1.85; P_trend = 0.012). Subgroup analyses revealed a stronger positive association for uPDI in participants with BMI <25 (HR_{quartile 4 versus 1}: 3.22; 95% CI: 1.56, 6.65) than in those with BMI ≥25 (HR_{quartile 4 versus 1}: 1.08; 95% CI: 0.78, 1.51) (P_interaction = 0.001).

CONCLUSIONS

In this US population, adherence to a healthy plant-based diet confers a lower risk of pancreatic cancer, whereas adherence to a less healthy plant-based diet confers a higher risk. These findings highlight the importance of considering plant food quality in preventing pancreatic cancer.

Relationship between Changes in Blood Glucose and Blood Lipid Levels and the Risk of Thyroid Cancer in Patients with Type 2 Diabetes Mellitus

Objective

To investigate the relationship between changes in blood glucose and blood lipid levels and the risk of thyroid cancer in patients with type 2 diabetes mellitus.

Methods

A total of 159 patients with type 2 diabetes who were treated in our hospital between June 2018 and February 2021 were recruited and assigned into the observation group, including 136 patients with type 2 diabetes without thyroid cancer (nonthyroid cancer group) and 23 patients with type 2 diabetes complicated with thyroid cancer (thyroid cancer group), and 120 healthy subjects during the same period were selected as the control group. Glycated hemoglobin (HbAlc), total cholesterol (TC), triacylglycerol (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C) were detected and compared. Pearson's method was conducted to analyze the correlation between serum HbAlc level and TC, TG, HDL-C, and LDL-C levels in patients with type 2 diabetes mellitus; multivariate logistic regression analysis was performed to analyze the influencing factors of thyroid cancer in patients with type 2 diabetes mellitus.

Results

The serum HbAlc level and the incidence of thyroid cancer in patients with type 2 diabetes mellitus in the observation group were significantly higher than those in the control group (P < 0.05). The levels of TC, TG, and LDL-C in patients with type 2 diabetes mellitus in the observation group were significantly higher than those in the control group, and the level of HDL-C was significantly lower than that in the control group (P < 0.05). The correlation analysis showed that serum HbAlc levels in patients with type 2 diabetes were positively correlated with TC and TG levels and negatively correlated with HDL-C levels (P < 0.05) and not correlated with LDL-C levels (P > 0.05). Compared with the type 2 diabetes patients without thyroid cancer, the serum HbAlc, TC, and TG levels of the patients with type 2 diabetes mellitus in the thyroid cancer group were significantly higher, and the levels of HDL-C were significantly lower (P < 0.05). There was no significant change in the level of LDL-C (P > 0.05). Multivariate logistic regression analysis showed that serum HbAlc, TC, and TC levels were all risk factors for thyroid cancer in patients with type 2 diabetes mellitus (P < 0.05), while serum HDL-C level was a protective factor for thyroid cancer in patients with type 2 diabetes mellitus (P < 0.05).

Conclusion

Thyroid cancer in type 2 diabetes patients may be linked to elevated levels of blood HbAlc, TC, and TG. HbAlc may raise the risk of thyroid cancer in type 2 diabetes patients by modulating blood lipid levels, which might serve as a marker to assess the risk of thyroid cancer in type 2 diabetes mellitus patients. However, since this study did not conduct in vitro and in vivo experiments, how HbAlc affects the pathogenesis of thyroid cancer has not been described in this study, which is also our future research direction. It is expected to provide new ideas for the prevention and treatment of thyroid cancer.

Fried food consumption and the risk of pancreatic cancer: A large prospective multicenter study

Background and aims

Whether fried food consumption is associated with the risk of pancreatic cancer remains elusive. We aimed to examine this association in a US population.

Methods

A population-based cohort of 101,729 US adults was identified. Fried food consumption was assessed with a validated food frequency questionnaire. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated. Explanatory analyses were conducted to identify main contributor(s) to the observed association.

Results

During an average follow-up of 8.86 years (900871.2 person-years), 402 pancreatic cancer cases occurred. High consumption of total fried foods (deep-fried plus pan-fried foods; HRquartile4 vs. 1 0.71, 95% CI 0.51-0.99, P trend = 0.047) and deep-fried foods (HRquartile 4 vs. 1 0.64, 95% CI 0.47-0.88, P trend = 0.011), but not pan-fried foods (HRquartile 4 vs. 1 0.98, 95% CI 0.73-1.32; P trend = 0.815), was found to be associated with a reduced risk of pancreatic cancer in a non-linear dose-response manner, which was not modified by predefined stratification factors and persisted in sensitivity analyses. In explanatory analyses, only chip consumption was found to be inversely associated with the risk of pancreatic cancer; consistently, the initial significant associations between total fried food and deep-fried food consumption and the risk of pancreatic cancer changed to be non-significant after omitting or further adjusting for chip consumption.

Conclusion

Consumption of deep-fried foods, but not pan-fried foods, is inversely associated with the risk of pancreatic cancer in this US population. The role of deep-fried foods in reducing the risk of pancreatic cancer appears to be mainly attributable to chips. More studies are needed to confirm our findings in other populations and settings.

Association Between Diabetes Risk Reduction Diet and Lung Cancer Risk in 98,159 Participants: Results From a Prospective Study

Purpose

To evaluate the association between diabetes risk reduction diet (DRRD) score and the risk of lung cancer in a large population.

Methods

Data of participants in this study were collected from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated in the Cox proportional hazards regression model for the association of DRRD score and lung cancer incidence in all included participants. Prespecified subgroup analyses were performed to evaluate whether the observed association was modified by age, sex, BMI, race/ethnicity, family history of lung cancer, smoking status and history of diabetes.

Results

A total of 98,159 participants were included in this study. The mean (SD) age of the study participants cohort at baseline was 65.5 (5.73) years old. The mean (SD) follow-up time was 8.83 (1.96) years. The mean (SD) score of DRRD was 26.82 (5.19), and ranged from 20.47 (2.3) to 33.65 (2.42) from the lowest quartile to the highest quartile of the DRRD score, inferring the possibility of highest through the lowest risk of type 2 diabetes. The calculated HRs showed there was a trend that higher quartile indicated lower risk of lung cancer after adjusted for covariates (HR_Q4vsQ1: 0.85; 95% CI:0.73,0.98; p for trend =0.036). The inverse trend between higher DRRD score and the risk of squamous cell carcinoma was more evident (HR_Q4vsQ1: 0.50; 95% CI:0.34,0.73; p for trend =0.002). The inverse association between DRRD score and the incidence of lung cancer was more pronounced in participants who had a clear family history of lung cancer (p for interaction=0.016).

Conclusion

A protective association between DRRD score and risk of lung cancer is obtained. People are encouraged to adhere to higher DRRD score in their daily diet. Further studies should be conducted to confirm the result and explore the mechanism.

The Gut Microbiota Influenced by the Intake of Probiotics and Functional Foods with Prebiotics Can Sustain Wellness and Alleviate Certain Ailments like Gut-Inflammation and Colon-Cancer

The gut microbiota is composed of several microbial strains, with diverse and variable combinations in healthy and sick persons, changing at different stages of life. A healthy balance between host and gut microorganisms must be maintained in order to perform the normal physiological, metabolic, and immune functions and prevent disease development. Disturbances in the balance of the gut microbiota by diverse reasons initiate several health issues and promote the progression of certain diseases. This review is based on published research and reports that describe the role of probiotic microorganisms in the sustainability of health and the alleviation of certain diseases. Information is presented on the GRAS strains that are used as probiotics in the food industry for the production of fermented milk, yogurt, fermented food, functional foods, and probiotic drinks. To maintain a healthy microbiota, probiotic supplements in the form of freeze-dried live cells of probiotic strains are also available in different forms to consumers. The health benefits of lactic acid bacteria and other microorganisms and their role in the control of certain diseases such as gut inflammation, diabetes, and bowel cancer and in the safeguarding of the gut epithelial permeability from the invasion of pathogens are discussed.

Type 2 Diabetes-Prevention Diet and All-Cause and Cause-Specific Mortality: A Prospective Study

We aimed to examine whether type 2 diabetes–prevention diet, a dietary pattern previously developed for reducing type 2 diabetes risk, was associated with mortality in a US population. A population-based cohort of 86,633 subjects was identified from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (1993–2015). Dietary information was collected with a food frequency questionnaire. A dietary diabetes risk-reduction score was calculated to reflect adherence to this dietary pattern, with higher scores representing better adherence. Hazard ratios (HRs) and absolute risk differences (ARDs) in mortality rates per 10,000 person-years were calculated. After a mean follow-up of 13.6 years, 17,532 all-cause deaths were observed. Participants with the highest versus the lowest quintiles of dietary diabetes risk-reduction score were observed to have decreased risks of death from all causes (HR = 0.76, 95% CI: 0.72, 0.80; ARD: −81.94, 95% CI: −93.76, −71.12), cardiovascular disease (HR = 0.73, 95% CI: 0.66, 0.81; ARD: −17.82, 95% CI: −24.81, −11.30), and cancer (HR = 0.85, 95% CI: 0.78, 0.94; ARD: −9.92, 95% CI: −15.86, −3.59), which were modified by sex, smoking status, or alcohol consumption in subgroup analyses (P for interaction < 0.05 for all). In conclusion, a type 2 diabetes–prevention diet confers reduced risks of death from all causes, cardiovascular disease, and cancer in this US population.

A Potential Synbiotic Strategy for the Prevention of Type 2 Diabetes: Lactobacillus paracasei JY062 and Exopolysaccharide Isolated from Lactobacillus plantarum JY039

The disturbance of intestinal microorganisms and the exacerbation of type 2 diabetes (T2D) are mutually influenced. In this study, the effect of exopolysaccharides (EPS) from Lactobacillus plantarum JY039 on the adhesion of Lactobacillus paracasei JY062 was investigated, as well as their preventive efficacy against T2D. The results showed that the EPS isolated from L. plantarum JY039 effectively improved the adhesion rate of L. paracasei JY062 to Caco-2 cells (1.8 times) and promoted the proliferation of L. paracasei JY062. In the mice experiment, EPS, L. paracasei JY062 and their complex altered the structure of the intestinal microbiota, which elevated the proportion of Bifidobacterium, Faecalibaculum, while inversely decreasing the proportion of Firmicutes, Muribaculaceae, Lachnospiraceae and other bacteria involved in energy metabolism (p < 0.01; p < 0.05); enhanced the intestinal barrier function; promoted secretion of the gut hormone peptide YY (PYY) and glucagon-like peptide-1 (GLP-1); and reduced inflammation by balancing pro-inflammatory factors IL-6, TNF-α and anti-inflammatory factor IL-10 (p < 0.01; p < 0.05). These results illustrate that EPS and L. paracasei JY062 have the synbiotic potential to prevent and alleviate T2D.

Review of the algorithms used in exhaled breath analysis for the detection of diabetes

Currently, intensive work is underway on the development of truly noninvasive medical diagnostic systems, including respiratory analysers based on the detection of biomarkers of several diseases including diabetes. In terms of diabetes, acetone is considered as a one of the potential biomarker, although is not the single one. Therefore, the selective detection is crucial. Most often, the analysers of exhaled breath are based on the utilization of several commercially available gas sensors or on specially designed and manufactured gas sensors to obtain the highest selectivity and sensitivity to diabetes biomarkers present in the exhaled air. An important part of each system are the algorithms that are trained to detect diabetes based on data obtained from sensor matrices. The prepared review of the literature showed that there are many limitations in the development of the versatile breath analyser, such as high metabolic variability between patients, but the results obtained by researchers using the algorithms described in this paper are very promising and most of them achieve over 90% accuracy in the detection of diabetes in exhaled air. This paper summarizes the results using various measurement systems, feature extraction and feature selection methods as well as algorithms such as Support Vector Machines, k-Nearest Neighbours and various variations of Neural Networks for the detection of diabetes in patient samples and simulated artificial breath samples.