Associations between a protective lifestyle behaviour score and biomarkers of chronic low-grade inflammation: a cross-sectional analysis in middle-to-older aged adults

Lifestyle deterioration linked to elevated inflammatory cytokines over a two-month follow-up

Healthy lifestyle reduces the risk of inflammation-related diseases. This study assessed how lifestyle changes affect inflammatory cytokines over 2 months. Involving 179 apparently healthy participants recruited from community, collecting data on lifestyles (smoking, alcohol, BMI, daily activity, sleep, diet) and measured inflammatory cytokines (TNF-α, IL-1β, IL-17A, CRP, IL-8, IL-18, IFN-γ) plus pepsinogens (PG I, PG II) at the baseline and 2-month follow-up. The combined adverse lifestyle score is the sum of scores across six lifestyles, with higher scores indicating more adverse lifestyle factors. Use multiple linear regression and mixed linear models to analyze the relationship between the changes in lifestyle and inflammatory cytokines (follow-up values minus baseline values). For every 1-point increase in combined adverse lifestyle score, IL-17A increased by 0.98 (95% CI 0.23, 1.73) pg/mL, IFN-γ increased by 1.79 (95% CI 0.39, 3.18) pg/mL. Decreased changes in daily activity were associated with higher IL-17A (β = 1.83, 95% CI 0.53, 3.13) and IFN-γ (β = 2.59, 95% CI 0.9, 4.98). Excluding daily activity, changes in combined adverse lifestyle scores were not associated with changes in inflammatory cytokines. Lifestyle improvements at 2-month intervals may reduce TNF-α, IL-17A and IFN-γ, with daily activity making the greatest contribution.

The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults

BACKGROUND AND AIMS

Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses.

METHODS

This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses.

RESULTS

In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = -0.030, p = 0.045).

CONCLUSIONS

A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.

Associations of lifestyle characteristics with circulating immune markers in the general population based on NHANES 1999 to 2014

Lifestyles maybe associated with the immune and inflammatory state of human body. We aimed to comprehensively explore the relationship between lifestyles and circulating immune-inflammatory markers in the general population. Data from NHANES 1999-2014 was used. Lifestyle factors included leisure-time physical activity (LTPA), diet quality (Healthy Eating Index-2015, HEI-2015), alcohol consumption, cigarettes smoking, sleep hour and sedentary time. Immune makers included C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR). Generalized linear regression models were used to adjust confounders. Regressions of restricted cubic splines were utilized to evaluate the potentially non-linear relationships between exposures and outcomes. As results, HEI was negatively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P < 0.001). Cigarettes per day was positively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P = 0.008). Alcohol consumption was negatively associated with CRP (P < 0.001), but positively associated with PLR (P = 0.012) and MLR (P < 0.001). Physical activity was negatively associated with CRP (P < 0.001), SII (P = 0.005), and NLR (P = 0.002), but positively associated with PLR (P = 0.010). Participants with higher healthy lifestyle score had significantly lower CRP, SII and NLR (all P values < 0.05). Most of the sensitivity analyses found similar results. In conclusion, we found significant associations between lifestyles and immune markers in the general population, which may reflect a systemic inflammatory response to unhealthy lifestyles.

Association of complement components with risk of colorectal cancer: A systematic review and meta-analysis

BACKGROUND

Complement components could contribute to the tumor microenvironment and the systemic immune response. Nevertheless, their role in colorectal cancer (CRC) remains a contentious subject.

AIM

To elucidate the relationship between complement components and CRC risk and clinical characteristics.

METHODS

Searches were conducted in PubMed, the Cochrane Library, and the China National Knowledge Infrastructure database until June 1, 2023. We included cohort studies encompassing participants aged ≥ 18 years, investigating the association between complement components and CRC. The studies were of moderate quality or above, as determined by the Agency for Healthcare Research and Quality. The meta-analysis employed fixed-effects or random-effects models based on the I² test, utilizing risk ratio (RR) and their corresponding 95% confidence interval (CI) for outcomes. Sensitivity and subgroup analyses were performed to validate the robustness of the collective estimates and identify the source of heterogeneity.

RESULTS

Data from 15 studies, comprising 1631 participants that met the inclusion criteria, were included in the meta-analysis. Our findings indicated that protein levels of cluster of differentiation 46 (CD46) (RR = 3.66, 95%CI: 1.75-7.64, P < 0.001), CD59 (RR = 2.86, 95%CI: 1.36-6.01, P = 0.005), and component 1 (C1) (RR = 5.88, 95%CI: 1.75-19.73, P = 0.004) and serum levels of C3 (standardized mean difference = 1.82, 95%CI: 0.06-3.58, P = 0.040) were significantly elevated in patients with CRC compared to healthy controls. Strong expression of CD55 or CD59 was associated with a higher incidence of lymph node metastasis, whereas strong CD46 expression correlated with a higher incidence of tumor differentiation compared to low CD46 expression (P < 0.05 for all). Although specific pooled results demonstrated notable heterogeneity, subgroup analyses pointed to regional differences as the primary source of inconsistency among the studies.

CONCLUSION

Our analysis underscores that increased levels of specific complement components are associated with a heightened risk of CRC, emphasizing the potential significance of monitoring elevated complement component levels.

Lifestyle factors and BMI attenuate relationships between biomarkers of inflammation and depressive symptoms and well-being: A cross-sectional study

Background

Mental disorders are a growing public health concern and evidence has linked chronic low-grade inflammation with depression and well-being. Research also suggests that certain modifiable lifestyle factors such as smoking, alcohol use, physical activity, diet quality and BMI are related to psychological health. These may modulate the relationship between low-grade inflammation and mental health conditions. In this study we examined inflammatory biomarker associations with two psychological health scores and investigated whether relationships are influenced by lifestyle factors and BMI.

Methods

This was a cross-sectional study of 1824 middle-to older-aged men and women randomly selected from a large primary care centre. Depressive symptoms and well-being were assessed using the 20-item Centre for Epidemiologic Studies Depression (CES-D) Scale and the World Health Organization-Five (WHO-5) Well-Being Index. Linear regression analyses were performed to examine depression and well-being score relationships with six inflammatory biomarkers, and a composite inflammatory biomarker score, adjusting for demographic characteristics, health conditions, lifestyle factors and BMI.

Results

Depression and well-being score associations with complement component 3 (CES-D only) c-reactive protein, interleukin 6, leptin, white blood cell counts, neutrophils and the inflammatory biomarker score were observed. These relationships survived adjustment for demographic variables and health conditions but were attenuated in models which included lifestyle factors and BMI. In final models, only leptin (β = 0.566, p = 0.018) and inflammatory score (β = 0.137, p = 0.004) associations with the CES-D score remained.

Conclusions

These findings suggest that the relationship between systemic low-grade inflammation and depressive symptoms and well-being may be largely explained by lifestyle factors and adiposity, highlighting the potential importance of promoting a healthy lifestyle in the treatment of depressive disorders.

Relationships between childhood adversity and inflammatory biomarkers in adulthood: A cross-sectional analysis of a middle-to older-aged population

Background

Exposure to adverse childhood experiences (ACEs) has been linked with increased cardiometabolic risk in adulthood. Low-grade systemic inflammation may underlie this association. Thus far, however, there has been limited investigation of later life inflammatory biomarkers in the context of childhood adversity.

Objectives

To assess ACE history, and ACE subcategory, relationships with a broad range of inflammatory biomarkers in middle-to older-aged adults to test the hypothesis that ACE exposure is associated with an unfavourable inflammatory profile in adulthood and determine whether associations vary by ACE subtype and sex.

Methods

This study used data from a random sample of 1,839 men and women aged 46-74 years. Participant exposure to ACEs (overall and subtypes including abuse, neglect and household dysfunction) was determined using a validated 10-item ACE questionnaire. Inflammatory biomarkers (pro-inflammatory cytokines, adipocytokines, acute-phase response proteins, white blood cell counts and their constituents, coagulation factors and glycoprotein acetyl) were measured from participant blood samples. Linear regression analyses examined relationships between ACE history (overall and each subcategory) and inflammatory biomarkers in adulthood, controlling for potential confounders. Sex-stratified and mediation analyses were also conducted.

Results

In age and sex-adjusted models, ACE history was significantly associated with higher c-reactive protein (p = 0.027), resistin (p = 0.024), white blood cell count (WBC) (p = 0.034), monocyte (p = 0.044), eosinophil (p = 0.031) and plasminogen activator inhibitor-1 (p = 0.047) concentrations, and lower adiponectin (p = 0.025) levels. Results from stratified analyses indicated sex differences and ACE subtype specific associations, with household dysfunction identified as the main driver of positive ACE associations with WBCs and constituents (all p < 0.05). Mediation analyses suggested that BMI and smoking mediate relationships between ACE exposures and increased inflammation.

Conclusions

This study provides evidence that ACE exposure may be associated with more pro-inflammatory and pro-thrombotic profiles in adulthood. Associations differed according to ACE subtype, and sex differences exist, which may influence cardiometabolic risk.

Anthropometric measures, predicted visceral adipose tissue and biomarkers of chronic inflammation

BACKGROUND

Evidence has linked low-grade systemic inflammation and visceral adipose tissue (VAT) with development of chronic conditions. Cytokines and select proteins released by VAT may promote a low-grade inflammatory response. A number of equations have been developed to estimate VAT levels. In this study, we compared predicted VAT equation relationships with biomarkers of inflammation.

METHODS

This was a cross-sectional study of 2038 men and women aged 46-73 years. Correlation and linear regression analyses were performed to examine inflammatory biomarker relationships with four commonly assessed anthropometric measures and 10 predicted VAT equations.

RESULTS

Compared with anthropometric measures, predicted VAT equations were found to explain a greater proportion of variance in CRP (R2  = .075, p = .001), IL-6 (R2  = .060, p = .001), TNF-α (R2  = .017, p = .005), resistin (R2  = .011, p = .012), monocyte (R2  = .027, p = .001), eosinophil (R2  = .012, p = .01) and basophil (R2  = .015, p = .002) levels in males, and a greater variance in concentrations of C3 (R2  = .175, p = .001), IL-6 (R2  = .090, p = .001), TNF-α (R2  = .036, p = .001), adiponectin (R2  = .121, p = .001), the adiponectin-to-leptin ratio (R2  = .444, p = .001), resistin (R2  = .025, p = .001), white blood cell count (R2  = .057, p = .001), neutrophils (R2  = .061, p = .001) and lymphocytes (R2  = .020, p = .001) in females.

CONCLUSION

Equations for assessing VAT levels might be useful to characterise metabolic health. Further studies that examine predicted VAT relationships with disease and mortality outcomes are warranted.

Cohort profile update: The Cork and Kerry Diabetes and Heart Disease Study

Background: The Cork and Kerry Diabetes and Heart Disease Study was established to investigate the prevalence of diabetes and cardiovascular disease among middle-aged adults in Ireland. The Mitchelstown cohort was recruited from a single large primary care centre between 2010-2011. A rescreen of this cohort was conducted in 2015. Methods: Data were collected on cardiovascular health and associated risk factors. In addition, the rescreen incorporated new measures which included information on cognition and frailty, medication adherence, dietary factors and the collection of stool samples with RNA sequencing of the gut microbiome. Results: Of 2047 participants in the original cohort, 237 (11.6%) were deceased, too ill to participate or were lost to follow-up. Of the remaining 1810 baseline study participants, 1378 men and women aged 51-77 years agreed to take part in the rescreen (response rate of 76.1%). The prevalence of hypertension was high, ranging from 50% to 64% depending on the measurement method. An investigation of the association of gut microbiota with metabolic syndrome and obesity indicated greater microbiome diversity in metabolically healthy non-obese individuals relative to their unhealthy counterparts. Analysis of prescribing data over time demonstrated a high prevalence of potentially inappropriate prescribing among older-aged people in primary care which increased as they progressed to more advanced old age. Conclusions: The rescreen has provided new insights into cardiovascular health. In addition, this study is embedded in a single primary care centre, enabling passive follow-up of study participants through electronic health records. All data collected at baseline and rescreen are maintained and stored at the School of Public Health, University College Cork and specific proposals for future collaborations are welcome.

Dietary score associations with markers of chronic low-grade inflammation: a cross-sectional comparative analysis of a middle- to older-aged population

PURPOSE

To assess relationships between the Dietary Approaches to Stop Hypertension (DASH), Mediterranean Diet (MD), Dietary Inflammatory Index (DII^®) and Energy-adjusted DII (E-DII™) scores and pro-inflammatory cytokines, adipocytokines, acute-phase response proteins, coagulation factors and white blood cells.

METHODS

This was a cross-sectional study of 1862 men and women aged 46-73 years, randomly selected from a large primary care centre in Ireland. DASH, MD, DII and E-DII scores were derived from validated food frequency questionnaires. Correlation and multivariate-adjusted linear regression analyses with correction for multiple testing were performed to examine dietary score relationships with biomarker concentrations.

RESULTS

In fully adjusted models, higher diet quality or a less pro-inflammatory diet was associated with lower concentrations of c-reactive protein, neutrophils (all dietary scores), complement component 3 [C3], interleukin 6 [IL-6], tumour necrosis factor-alpha [TNF-α], white blood cell count [WBC], the neutrophil-to-lymphocyte ratio [NLR] (DASH, DII and E-DII), monocytes (DASH and DII) and resistin (DII and E-DII). After accounting for multiple testing, relationships with C3 (DASH: β = - 2.079, p = .011 and DII: β = 2.521, p = .036), IL-6 (DASH: β = - 0.063, p = .011), TNF-α (DASH: β = - 0.027, p = .034), WBC (DASH: β = - 0.028, p = .001 and DII: β = 0.029, p = .02), neutrophils (DASH: β = - 0.041, p = .001; DII: β = 0.043, p = .007; E-DII: β = 0.029, p = .009) and the NLR (DASH: β = - 0.035, p = .011) persisted.

CONCLUSIONS

Better diet quality, determined by the DASH score, may be more closely associated with inflammatory biomarkers related to health in middle- to older-aged adults than the MD, DII and E-DII scores.