Life-Course Socioeconomic Trajectories and Biological Aging: The Importance of Lifestyles and Physical Wellbeing.

BACKGROUND/OBJECTIVES: Studies investigating the associations between life-course socioeconomic status (SES) and biological aging (the difference between biological and chronological age, Δage) have mostly been focused on epigenetic clocks and on a limited number of mediators. The aim of this study was to investigate this relationship using a blood-based aging clock, as well as the potential mediation of different factors including lifestyles or their proxies and physical and mental wellbeing. METHODS: A deep-learning aging clock based on 36 blood markers was deployed, in a large Italian population cohort: the Moli-sani study (N = 4772; ≥35 years; 48% men). SES was defined as an eight-level trajectory over the life course, which was tested with Δage in linear models incrementally adjusted for age, sex, and prevalent health conditions. Moreover, the proportion of associations explained by diverse potential mediators, including diet, smoking, physical activity, alcohol, body mass index (BMI), and physical and mental quality of life (QoL) was estimated. RESULTS: Compared to participants with a stably high SES, those showing an educational and financial downward trajectory were older than their CA (ß (95%CI) = 1.28 (0.73-1.83) years), as were those with a stably low SES (0.75 (0.25-01.25) years). These associations were largely explained by the tested mediators (overall proportion: 36.2% and 66.3%, respectively), prominently by physical QoL (20.7% and 41.0%), BMI (16.8% and 34.3%), lifestyle (10.6% and 24.6%), and dietary inflammatory score (5.3% and 9.2%). CONCLUSIONS: These findings indicate that life-course socioeconomic inequalities are associated with accelerated biological aging, suggesting physical wellbeing and pro-inflammatory lifestyles as potential public health targets to slow down this process in susceptible socioeconomic strata of the population.

Brain-derived gangliosides prime human platelet aggregation and induce platelet-leukocyte aggregate formation.

BACKGROUND: Platelet activation and interaction with leukocytes are crucial in inflammation. Gangliosides, sialic acid-containing glycosphingolipids, have been linked to different inflammatory conditions related to cardio- and neurodegenerative disorders. The role of gangliosides in platelet and leukocyte function, although reported, still needs further investigation. OBJECTIVES: We aimed to study the role of gangliosides in platelet activation and platelet-leukocyte interaction in vitro. METHODS: Platelet activation was studied through aggregometry in platelet-rich plasma from apparently healthy human volunteers. Signaling protein phosphorylation was analyzed by immunoblotting. Platelet P-selectin expression and platelet-leukocyte aggregate formation were measured by flow cytometry. RESULTS: The gangliosides monosialoganglioside GM1, disialoganglioside GD1a, and trisialoganglioside GT1b did not induce by themselves any platelet aggregation. Conversely, when preincubated with platelets, they potentiate platelet aggregation induced by submaximal adenosine diphosphate and collagen concentrations and increased P-selectin expression. Incubation of platelets with free sialic acid and the soluble part of monosialoganglioside GM1 induced a similar potentiating effect on platelet aggregation but not on platelet P-selectin expression. Consistently, analyzing the signaling protein phosphorylation, only the entire gangliosides activated extracellular stimuli-responsive kinase 1/2 suggesting that a complete ganglioside is crucial for its action on platelets. Both the priming effect on platelet aggregation and ERK1/2 activation were prevented by aspirin. Moreover, incubation of citrated whole blood with gangliosides induced platelet-leukocyte aggregate formation accompanied by increased expression of granulocyte and monocyte CD11b compared with untreated blood, suggesting a primary leukocyte activation. CONCLUSION: Gangliosides may act in vitro both on platelet and leukocyte activation and on their interaction. The observed effects might contribute to inflammatory processes in clinical conditions.

The association between hypoalbuminemia and risk of death due to cancer and vascular disease in individuals aged 65 years and older: findings from the prospective Moli-sani cohort study.

Background: Serum albumin is inversely associated with overall mortality, but its association with specific causes of death remains uncertain. This study aims to investigate whether hypoalbuminemia, defined as serum albumin levels ≤35 g/L, is associated with mortality specifically attributed to cancer and/or vascular diseases. Methods: Serum albumin levels were measured in the population-based, prospective cohort of the Moli-sani study, established between 2005 and 2010. Hypoalbuminemia was defined as serum albumin levels ≤35 g/L. Cause-specific mortality was assessed using the validated Italian mortality registry and coded according to the International Classification of Diseases, Revision 9. Over a median follow-up period of 13.1 years, the relationship between serum albumin and mortality, adjusted for covariates, was investigated using competing-risk survival analysis. Findings: The analysed cohort comprised 17,930 individuals aged ≥35 years, of whom 8445 were men (47.1%). The mean age was 54 years (standard deviation (SD) = 11 years), with 3299 individuals (18.4%) aged older than 65 years. All participants had C-reactive protein levels <10 mg/L and no history of liver, renal, cardiovascular, or cancer disease. Hypoalbuminemia was found in 406 individuals (2.3%). The study documented a total of 1428 deaths, with 574 attributed to cancer and 464 to vascular causes. Hypoalbuminemia was independently associated with mortality when compared to serum albumin >40 g/L (Hazard Ratio (HR) = 1.61, 95% Confidence Interval: 1.21-2.13). A decrease of 1-SD in serum albumin levels corresponded to HR of 1.16 (1.09-1.22), 1.16 (1.05-1.28), and 1.13 (1.03-1.23) for total, vascular and cancer mortality, respectively. Upon stratifying by age, hypoalbuminemia was associated with total mortality solely in those aged ≥65 years (HR = 1.83; 1.33-2.50) but not in the <65 years group (HR = 1.03; 0.53-2.00; P < 0.0001 for difference). Similar age-related patterns emerged for vascular death (per 1-SD decrease HR = 1.19; 1.07-1.33 in individuals ≥65 years and HR = 1.05; 0.86-1.29 in individuals <65 years) and cancer mortality (HR = 1.15; 1.02-1.30; ≥65 years and HR = 1.08; 0.96-1.23; <65 years). Interpretation: Individuals ≥65 years old with serum albumin levels ≤35 g/L are at higher risk of total, cancer, and vascular mortality. Funding: This paper was developed within the project funded by Next Generation EU-"Age-It - Ageing well in an ageing society" project (PE0000015), National Recovery and Resilience Plan (NRRP)-PE8-Mission 4, C2, Intervention 1.3.

Association of perceived mental health with mortality, and analysis of potential pathways in Italian men and women: Prospective results from the Moli-sani Study cohort.

BACKGROUND: Perceived mental health (PMH) was reportedly associated with mortality in general populations worldwide. However, little is known about sex differences and pathways potentially linking PMH to mortality. We explored the relationship between PMH and mortality in Italian men and women, and analysed potential explanatory factors. METHODS: We performed longitudinal analyses on 9045 men and 9467 women (population mean age 53.8 ± 11.2 years) from the Moli-sani Study. Baseline PMH was assessed through a self-administered Short Form 36-item questionnaire. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95 % confidence intervals (95%CI) of death across sex-specific quartiles of PMH, controlling for age, chronic health conditions, and perceived physical health. Socioeconomic, behavioural, and physiological factors were examined as potential explanatory factors of the association between PMH and mortality. RESULTS: In women, HRs for the highest (Q4) vs. bottom quartile (Q1) of PMH were 0.75 (95%CI 0.60-0.96) for all-cause mortality and 0.59 (0.40-0.88) for cardiovascular mortality. Part of these associations (25.8 % and 15.7 %, for all-cause and cardiovascular mortality, respectively) was explained by physiological factors. In men, higher PMH was associated with higher survival (HR = 0.82; 0.69-0.98, for Q4 vs. Q1) and reduced hazard of other cause mortality (HR = 0.67; 0.48-0.95). More than half of the association with all-cause mortality was explained by physiological factors. LIMITATIONS: PMH was measured at baseline only. CONCLUSIONS: PMH was independently associated with mortality in men and women. Public health policies aimed at reducing the burden of chronic diseases should prioritize perceived mental health assessment along with other interventions.

Olive oil consumption is associated with lower cancer, cardiovascular and all-cause mortality among Italian adults: prospective results from the Moli-sani Study and analysis of potential biological mechanisms.

BACKGROUND: Olive oil consumption has been reportedly associated with lower mortality rates, mostly from cardiovascular diseases, but its potential impact on cancer death remains controversial. Moreover, biological mechanisms possibly linking olive oil consumption to mortality outcomes remain unexplored. METHODS: We longitudinally analysed data on 22,892 men and women from the Moli-sani Study in Italy (follow-up 13.1 y), to examine the association of olive oil consumption with mortality. Dietary data were collected at baseline (2005-2010) through a 188-item FFQ, and olive oil consumption was standardised to a 10 g tablespoon (tbsp) size. Diet quality was assessed through a Mediterranean diet score. Multivariable-adjusted Cox proportional hazard models, also including diet quality, were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). The potential mediating role of inflammatory, metabolic, cardiovascular and renal biomarkers on the association between olive oil intake and mortality was evaluated on the basis of change-in-estimate and associated p values. RESULTS: Multivariable HRs for all-cause, cancer, cardiovascular and other cause mortality associated with high (>3 tbsp/d) versus low (≤1.5 tbsp/d) olive oil consumption were 0.80 (0.69-0.94), 0.77 (0.59-0.99), 0.75 (0.58-0.97) and 0.97 (0.73-1.29), respectively. Taken together, the investigated biomarkers attenuated the association of olive oil consumption with all-cause and cancer mortality by 21.2% and 13.7%, respectively. CONCLUSIONS: Higher olive oil consumption was associated with lower cancer, cardiovascular and all-cause mortality rates, independent of overall diet quality. Known risk factors for chronic diseases only in part mediated such associations suggesting that other biological pathways are potentially involved in this relationship.

Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson's disease: findings from a large Italian population cohort.

Background: Aging clocks tag the actual underlying age of an organism and its discrepancy with chronological age and have been reported to predict incident disease risk in the general population. However, the relationship with neurodegenerative risk and in particular with Parkinson's Disease (PD) remains unclear, with few discordant findings reporting associations with both incident and prevalent PD risk. Objective: To clarify this relationship, we computed a common aging clock based on blood markers and tested the resulting discrepancy with chronological age (ΔPhenoAge) for association with both incident and prevalent PD risk. Methods: In a large Italian population cohort - the Moli-sani study (N=23,437; age ≥ 35 years; 52% women) - we carried out both Cox Proportional Hazards regressions modelling ΔPhenoAge as exposure and incident PD as outcome, and linear models testing prevalent PD as exposure and ΔPhenoAge as outcome. All models were incrementally adjusted for age, sex, education level completed and other risk/protective factors previously associated with PD risk in the same cohort (prevalent dysthyroidism, hypertension, diabetes, use of oral contraceptives, exposure to paints, daily coffee intake and cigarette smoking). Results: No significant association between incident PD risk (209 cases, median (IQR) follow-up time 11.19 (2.03) years) and PhenoAging was observed (Hazard Ratio [95% Confidence Interval] = 0.98 [0.71; 1.37]). However, a small but significant increase of ΔPhenoAge was observed in prevalent PD cases vs healthy subjects (ß (Standard Error) = 1.39 (0.70)). An analysis of each component biomarker of PhenoAge revealed a significant positive association of prevalent PD status with red cell distribution width (RDW; ß (SE) = 0.46 (0.18)). All the remaining markers did not show any significant evidence of association. Conclusion: The reported evidence highlights systemic effects of prevalent PD status on biological aging and red cell distribution width. Further cohort and functional studies may help shedding a light on the related pathways altered at the organism level in prevalent PD, like red cells variability, inflammatory and oxidative stress mechanisms.

Endogenous thrombin potential and time-dependent thrombin generation parameters are independent risk factors for mortality in the general population.

BACKGROUND: Thrombin generation (TG) is used as a global test of coagulation and is an indicator of thrombosis and bleeding risk. Until now, data on the association of TG and mortality are inconclusive. OBJECTIVES: We investigated the association between TG and mortality in the prospective Moli-sani cohort (n = 21 920). METHODS: TG was measured using calibrated automated thrombinography using PPP-Reagent Low. Lag time (LT), endogenous thrombin potential (ETP), peak height, time-to-peak (TTP), and velocity index were quantified. The association of TG and mortality was studied by Cox regression and adjusted for sex, age, body mass index, smoking, contraceptives, and medical history (cardiovascular diseases, hypertension, hypercholesterolemia, diabetes, and cancer). RESULTS: LT and TTP were 4.1 ± 1.0 minutes and 6.6 ± 1.5 minutes, on average. The peak height was 364 ± 88 nM, velocity index was 163 ± 63 nM/min, and ETP was 1721 ± 411 nM·min. ETP was negatively associated with all-cause mortality (hazard ratio [HR], 0.86; 95% CI, 0.81-0.92; P < .001). Subjects in the lowest quintile of the ETP (ETPQ1) had a 1.3-fold higher mortality rate. Additionally, a high TTP/LT ratio was negatively associated with mortality (HR, 0.71; 95% CI, 0.57-0.89; P = .003). Individuals in quintile 1 of the TTP/LT ratio had a 1.4-fold higher mortality rate compared with the remainder of the cohort. Subjects that were both in ETPQ1 and TTP/LTQ1 had a 1.8-fold higher mortality rate, regardless of whether they reported history of cardiovascular disease at baseline (HR, 1.61 [CI: 1.07-2.42]) or not (HR, 1.89 [CI: 1.51-2.36]). CONCLUSION: Low ETP and TTP/LT ratios are independent risk factors for all-cause mortality in the general population.

High alpha-2-macroglobulin levels are a risk factor for cardiovascular disease events: A Moli-sani cohort study.

BACKGROUND: α2-macroglobulin (α2M) is a versatile endopeptidase inhibitor that plays a role in cell growth, inflammation and coagulation. α2M is an inhibitor of key coagulation enzyme thrombin. Hypercoagulability due to an excess of thrombin production can cause thrombotic events. Therefore, we investigated the association of α2M levels and cardiovascular events in a subset of the general Italian population. METHODS: We determined α2M levels in the baseline samples of a prospective cohort (n = 19,688; age: 55 ± 12 years; 47.8 % men) of the Moli-sani study and investigated the association with the cardiovascular events (n = 432, 2.2 %) in the median follow-up period of 4.3 years. Hazard ratios (HR) with 95 % confidence intervals (CI) were calculated by multivariable Cox regression and adjusted for a large panel of confounding factors. RESULTS: α2M levels above the 90th percentile were significantly associated with cardiovascular disease (CVD) events after full adjustment for age, sex, current smoking, BMI, oral contraceptive use, cardiovascular diseases, hypertension, hypercholesterolemia, diabetes and history of cancer (HR: 1.36; CI: 1.06-1.74). Moreover, high α2M was associated with coronary heart disease (CHD; HR: 1.47; CI: 1.12-1.91), but not stroke. Stratification for CVD at baseline showed that high α2M levels are associated with CHD events in subjects without CVD at baseline (HR: 1.40; CI: 1.00-1.95) and subjects with CVD at baseline (HR: 1.58; CI: 1.02-2.44). CONCLUSION: We show in a prospective cohort that high levels of α2M could be a risk factor for cardiovascular events, especially coronary heart disease events.

Identifying brain tumor patients' subtypes based on pre-diagnostic history and clinical characteristics: a pilot hierarchical clustering and association analysis.

Introduction: Central nervous system (CNS) tumors are severe health conditions with increasing incidence in the last years. Different biological, environmental and clinical factors are thought to have an important role in their epidemiology, which however remains unclear. Objective: The aim of this pilot study was to identify CNS tumor patients' subtypes based on this information and to test associations with tumor malignancy. Methods: 90 patients with suspected diagnosis of CNS tumor were recruited by the Neurosurgery Unit of IRCCS Neuromed. Patients underwent anamnestic and clinical assessment, to ascertain known or suspected risk factors including lifestyle, socioeconomic, clinical and psychometric characteristics. We applied a hierarchical clustering analysis to these exposures to identify potential groups of patients with a similar risk pattern and tested whether these clusters associated with brain tumor malignancy. Results: Out of 67 patients with a confirmed CNS tumor diagnosis, we identified 28 non-malignant and 39 malignant tumor cases. These subtypes showed significant differences in terms of gender (with men more frequently presenting a diagnosis of cancer; p = 6.0 ×10-3) and yearly household income (with non-malignant tumor patients more frequently earning ≥25k Euros/year; p = 3.4×10-3). Cluster analysis revealed the presence of two clusters of patients: one (N=41) with more professionally active, educated, wealthier and healthier patients, and the other one with mostly retired and less healthy men, with a higher frequency of smokers, personal history of cardiovascular disease and cancer familiarity, a mostly sedentary lifestyle and generally lower income, education and cognitive performance. The former cluster showed a protective association with the malignancy of the disease, with a 74 (14-93) % reduction in the prevalent risk of CNS malignant tumors, compared to the other cluster (p=0.026). Discussion: These preliminary data suggest that patients' profiling through unsupervised machine learning approaches may somehow help predicting the risk of being affected by a malignant form. If confirmed by further analyses in larger independent cohorts, these findings may be useful to create potential intelligent ranking systems for treatment priority, overcoming the lack of histopathological information and molecular diagnosis of the tumor, which are typically not available until the time of surgery.

Pro-Vegetarian Food Patterns and Cancer Risk among Italians from the Moli-Sani Study Cohort.

Besides the Mediterranean diet, there is a paucity of studies examining plant-based diets in relation to cancer outcomes in Mediterranean populations. We analyzed 22,081 apparently cancer-free participants (mean age 55 ± 12 year) from the Moli-sani study (enrollment period 2005-2010; Italy). A general pro-vegetarian food pattern was computed by assigning positive or negative scores to plant- or animal-derived foods, respectively from a 188-item FFQ. A priori healthful or unhealthful pro-vegetarian food patterns distinguished between healthy plant foods (e.g., fruits, vegetables) and less-healthy plant foods (e.g., fruit juices, refined grains). Cancer incidence was defined as the earliest diagnosis of cancer from hospital discharge records over a median follow-up of 12.9 years. In multivariable-adjusted analyses, a general pro-vegetarian food pattern was associated with a lower rate of cancer incidence (HR = 0.85; 95%CI 0.75-0.97 for Q5 vs. Q1); no association was observed between the healthful or unhealthful pro-vegetarian food patterns and overall cancer incidence. A healthful pro-vegetarian pattern, however, was inversely associated with digestive cancer (HR = 0.76; 95%CI 0.58-0.99 for Q5 vs. Q1), while the unhealthful pro-vegetarian pattern was directly linked to respiratory cancer (HR = 1.68; 95%CI 1.06-2.68 for Q5 vs. Q1). Our findings in a Mediterranean population support the hypothesis that some, but not all pro-vegetarian diets, might prevent some cancers.

Association between BMI, RFM and mortality and potential mediators: Prospective findings from the Moli-sani study.

BACKGROUND: Body mass index (BMI) is the most frequently used adiposity measure, yet it is unable to differentiate fat mass from lean mass. Relative fat mass (RFM) has been proposed as an alternative. This paper aims to study RFM and BMI association with mortality in a general Italian population and potential mediators of such association. METHODS: 20,587 individuals from the Moli-sani cohort were analysed (mean age = 54 ± 11, women = 52%, median follow up = 11.2 years, interquartile range = 1.96 years). Cox regressions were used to assess BMI, RFM, and their interactive association with mortality. Dose-response relationships were computed with spline regression, mediation analysis was performed. All analyses were separated for men and women. RESULTS: Men and women with BMI > 35 kg/m2 and men in the 4th quartile of RFM showed an independent association with mortality (HR = 1.71, 95% CI = 1.30-2.26 BMI in men, HR = 1.37, 95%CI = 1.01-1.85 BMI in women, HR = 1.37 CI 95% = 1.11-1.68 RFM in men), that was lost once adjusted for potential mediators. Cubic splines showed a U-shaped association for BMI in men and women, and for RFM in men. Mediation analysis showed that 46.5% of the association of BMI with mortality in men was mediated by glucose, C reactive protein, forced expiratory volume in 1 s (FEV1), and cystatin C; 82.9% of the association of BMI in women was mediated by HOMA index, cystatin C and FEV1; lastly, 55% of RFM association with mortality was mediated by glucose, FEV1 and cystatin C. Regression models including BMI and RFM showed that RFM drives most of the risk in men, but is not predictive in women. CONCLUSIONS: The association between anthropometric measures and mortality was U shaped and it was largely dependent on sex. Associations were mediated by glucose metabolism, renal and lung function. Public health interventions should mainly focus on people with severe obesity or impaired metabolic, renal, or respiratory function.

Food processing and risk of central nervous system tumours: A preliminary case-control analysis from the MEditerranean DIet in relation to CancEr of brAin (MEDICEA) study.

BACKGROUND: The relationship between diet and central nervous system (CNS) tumours was almost exclusively focused on food composition. We evaluated the relationship of different degrees of food processing with risk of CNS tumours. METHODS: The study sample included 44 CNS tumours cases (20 non-malignant and 24 malignant) recruited from the Neurosurgery Department at the IRCCS Neuromed (Italy), and 88 controls matched 1:2 for sex and age± 10 years, identified from the Moli-sani Study. Dietary intake was assessed using a 188-item FFQ. Food items were grouped according to the NOVA classification on the basis of processing as: (1) unprocessed/minimally processed foods; (2) processed culinary ingredients; (3) processed foods; and (4) ultra-processed food (UPF). Conditional logistic regression models were used to estimate odds ratio (OR) and 95% confidence intervals (95%CI) of dietary contributions from each NOVA group (as weight ratio on the total food eaten) and adjusting for potential confounders. RESULTS: In a multivariable conditional to match logistic regression analysis also controlled for overall diet quality, 1% increment in UPF intake was associated with higher odds of all CNS tumours (OR = 1.06; 1.01-1.13), particularly of malignant CNS tumours (OR = 1.11; 1.02-1.22), while no association with non-malignant CNS tumours was found (OR = 1.06; 0.99-1.15). In contrast, only processed food was inversely associated with risk of both CNS tumours overall (OR = 0.94; 0.90-0.98) and of malignant CNS tumours (OR = 0.90; 0.83-0.96). CONCLUSION: Increasing UPF intake was associated with higher risk of CNS tumours, especially malignant ones, independently of the overall diet quality, while only processed food (but not UPF) was inversely related to the risk of this disease.

The Dietary Intake of Polyphenols Is Associated with a Lower Risk of Severe Lumbar Spinal Stenosis: A Case-Control Analysis from the PREFACE Study.

Polyphenols are naturally occurring compounds endowed with antioxidant and anti-inflammatory properties. We sought to examine the association of dietary polyphenols with the risk of severe lumbar spinal stenosis (LSS), a condition possibly characterized by a high inflammatory component. A case-control study included 156 patients with LSS and indication to surgery and 312 controls, matched (1:2) for sex, age (±6 months), and physical activity. The polyphenol intake was calculated by matching food consumption data from a 188-item food frequency questionnaire with the Phenol-Explorer database regarding the polyphenol content of each reported food. In a multivariable-adjusted logistic regression analysis including lifestyles, sociodemographic factors, and the Mediterranean Diet Score, a 1-standard deviation (SD) increase in dietary polyphenols intake was associated with lower odds of LSS (Odds ratio [OR] = 0.65; 95% CI: 0.47-0.89). Analyses of different polyphenol classes showed that a per 1-SD in the consumption of flavonoids and stilbenes was related to lower LSS risk (OR = 0.57; 95% CI: 0.42-0.78; OR = 0.40; 95% CI: 0.27-0.61, respectively). Further adjustment for the total dietary antioxidant capacity did not modify the strength of these associations. A diet rich in polyphenols is independently associated with a lower risk of severe LSS, possibly through mechanisms that include the anti-inflammatory potential of these bioactive compounds.

Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort.

Background: Patients with cancer are commonly characterized by abnormalities in laboratory coagulation tests, underlying a subclinical hypercoagulable condition. Due to the involvement of the hemostatic system in cancer patients, some of its biomarkers, such as fibrinogen, could be a useful tool in predicting cancer risk. We performed a case-cohort study to evaluate the relationship among fibrinogen levels and colorectal cancer (CRC). Methods: In the framework of Moli-sani Study (N = 24,325, enrolled 2005-2010) a subcohort of 1,290 individuals (55.0% women; mean age 55.0 ± 12.0 years) was selected and compared with 126 CRC cases identified during a follow-up of 4.3 years. Incident cases of colorectal cancer were ascertained by direct linkage with hospital discharge forms according to the International Classification of Disease (ICD-9-CM) codes: 153-154. Events were validated through medical records and confirmed by histological reports. Fibrinogen levels were measured in frozen citrated plasma samples. Hazard Ratio (HR) and 95% confidence interval (CI), adjusted by relevant covariates were estimated by a Cox regression model using Prentice method. Results: Individuals with levels of fibrinogen ≥400 mg/dL had a higher hazard to develop colorectal cancer when compared to those with lower levels after adjustment for sex and age (HR: 1.81; 95% CI 1.12-2.92). Additional adjustment for CRC family history, income, physical activity, diabetes medication and hypercholesterolemia did not modify the result (HR: 1.91; 95% CI 1.15-3.17). Analyses stratified by age and sex showed a most evident association in elderly (HR: 2.30; 95% CI: 1.10-4.81) and in women (HR: 2.28; 95% CI: 1.08-4.81). Sensitivity analyses confirmed the main findings, showing independence from a potential role of confounding by a large panel of biomarkers, including inflammation and hemostasis factors. Conclusion: Our results, based on a case-cohort study from a general adult population apparently free from any cancer during the recruitment, showed that fibrinogen levels ≥400 mg/dL were positively and independently associated with CRC, suggesting that this glycoprotein could be a potential biomarker for this type of cancer and supporting the "common soil hypothesis" in the pathophysiology of cardiovascular disease and tumors.

Low antithrombin levels are associated with low risk of cardiovascular death but are a risk factor for cancer mortality.

BACKGROUND: Thrombosis is common in subjects suffering from cardiovascular diseases (CVD) and cancer. Hypercoagulation plays a pivotal role in the pathophysiology of thrombosis. Therefore, the inactivation of thrombin, the key enzyme in coagulation, is tightly regulated via antithrombin (AT). AT deficiency is related to thrombosis and cardiovascular death. In this study we investigated the association between AT levels and mortality, in particularly cardiovascular-related and cancer-related death in the general population. METHODS: We studied the association of AT levels and mortality in a prospective cohort sampled from the general Italian population (n = 19,676). AT levels were measured in the baseline samples, and mortality was recorded during a median follow-up period of 8.2 years. Cox regression was performed to investigate the association of all-cause, CVD-related and cancer-related mortality with variations in AT levels. RESULTS: In total, 989 subjects died during follow-up, of which 373 subjects of CVD and 353 of cancer-related causes. Cox analysis revealed that, after adjustment for age, sex, current smoking, BMI, diabetes, hypertension, hypercholesterolemia, history of cardiovascular disease, history of cancer, vitamin K antagonists, antiplatelet medication, heparin and oral contraceptives AT levels were not associated with all-cause mortality (HRQ1vsQ5: 0.92, 95% CI:0.74-1.15). Interestingly, the risk of CVD-related mortality was reduced in subjects with low AT levels compared to subjects with higher AT levels, after adjustment for age and sex and other confounders did not change the association (HRQ1vsQ5: 0.64, 95% CI:0.44-0.91). Moreover, low AT levels were associated with increased cancer mortality in a fully adjusted model (HRQ1vsQ2-5: 1.26, 95% CI:0.88-1.81). CONCLUSIONS: Low AT levels are associated to a lower risk of fatal cardiovascular events in the general population, regardless of age, sex and medication use. In contrast, low AT levels are associated with lower cancer survival. For the first time we show that AT levels lower than the normal range in the general population, even before the development or diagnosis of cancer, are associated with an elevated risk of cancer death.

Incremental monounsaturated to saturated fat ratio and fibre consumption is associated with a reduction in a composite score of modifiable cardiovascular risk factors: Prospective results from the Moli-sani study.

BACKGROUND/OBJECTIVES: Unsaturated fats, fibre-rich foods and polyphenols are distinctive features of a traditional Mediterranean diet and have pleiotropic properties possibly contributing to reduce the long-term risk of non-communicable diseases and mortality associated with this diet. We aimed to evaluate whether changes over time in dietary fats, fibre and polyphenols consumption are associated with modifications in cardiovascular disease (CVD) risk factors. METHODS: The analytic sample consists of a sub-cohort of 2023 men and women enrolled in the Moli-sani Study (n = 24,325). Dietary and health data were obtained both at baseline (2005-2010) and at re-examination (2017-2020). The exposures were changes in dietary fats, fibre and polyphenols consumption measured after 12.7 years (median), and the outcome was change in a composite score including 13 modifiable CVD risk factors (e.g., blood lipids, C-reactive protein), measured both at enrolment and after the 12.7 years period. RESULTS: In multivariable-adjusted analysis including lifestyles, sociodemographic and clinical factors, an incremental intake of the ratio of monounsaturated to saturated fats or of fibre was associated with a reduction in the composite score of CVD risk factors (ß = -0.086; 95%CI -0.150, -0.021 and ß = -0.051; 95%CI -0.091, -0.012, respectively). Change in polyphenol intake was not associated with a substantial variation in the CVD risk score (p = 0.15). CONCLUSIONS: An incremental consumption over time of monounsaturated versus saturated fats and of fibre was associated with an improvement in modifiable CVD risk factors as reflected by a composite score.

Mediterranean diet and other dietary patterns in association with biological aging in the Moli-sani Study cohort.

BACKGROUND & AIMS: Biological age (BA) is the hypothetical underlying age of an organism and has been proposed as a more powerful predictor of health than chronological age (CA). The difference between BA and CA (Δage) reflects the rate of biological aging, with lower values indicating slowed-down aging. We sought to compare the relationship of four a priori-defined dietary patterns, including a traditional Mediterranean diet (MD) and three non-Mediterranean diets, with biological aging (Δage) among Italian adults. We also examined distinctive nutritional traits of these diets as potential mediators of such associations. METHODS: Cross-sectional analysis on a sub-cohort of 4510 subjects (aged ≥35 y; 52.0% women) from the Moli-sani Study (enrolment, 2005-2010). Food intake was recorded by a 188-item semi-quantitative food-frequency questionnaire. A Mediterranean diet score (MDS) was used as exposure and compared with non-Mediterranean dietary patterns, i.e. DASH (Dietary Approaches to Stop Hypertension), Palaeolithic and the Nordic diets. A Deep Neural Network based on 36 blood biomarkers was used to compute BA and the resulting Δage (BA-CA), which was tested as outcome in multivariable linear regressions adjusted for clinical factors, lifestyles and sociodemographic factors. RESULTS: In a multivariable-adjusted model, 1 standard deviation increase in the MDS was inversely associated with Δage (ß = -0.23; 95%CI -0.40, -0.07), and similar findings were observed with the DASH diet (ß = -0.17; 95%CI -0.33, -0.01). High dietary polyphenol content explained 29.8% (p = 0.04) and 65.8% (p = 0.02) of these associations, respectively, while other nutritional factors analysed (e.g. dietary fibre) were unlikely to be on the pathway. No significant associations were found with either the Palaeolithic or the Nordic diets. CONCLUSIONS: Increasing adherence to either the traditional MD or the DASH diet was associated with delayed biological aging, possibly through their high polyphenol content.

Ultra-processed food intake and all-cause and cause-specific mortality in individuals with cardiovascular disease: the Moli-sani Study.

AIMS: To evaluate the association of ultra-processed food (UPF) intake and mortality among individuals with history of cardiovascular disease (CVD) and analyse some biological pathways possibly relating UPF intake to death. METHODS AND RESULTS: Longitudinal analysis on 1171 men and women (mean age: 67 ± 10 years) with history of CVD, recruited in the Moli-sani Study (2005-10, Italy) and followed for 10.6 years (median). Food intake was assessed using a food frequency questionnaire. UPF was defined using the NOVA classification according to degree of processing and categorized as quartiles of the ratio (%) between UPF (g/day) and total food consumed (g/day). The mediating effects of 18 inflammatory, metabolic, cardiovascular, and renal biomarkers were evaluated using a logistic regression model within a counterfactual framework. In multivariable-adjusted Cox analyses, higher intake of UPF (Q4, ≥11.3% of total food), as opposed to the lowest (Q1, UPF <4.7%), was associated with higher hazards of all-cause (hazard ratio [HR]: 1.38; 95% confidence interval (CI): 1.00-1.91) and CVD mortality (HR: 1.65; 95% CI: 1.07-2.55). A linear dose-response relationship of 1% increment in UPF intake with all-cause and CVD mortality was also observed. Altered levels of cystatin C explained 18.3% and 16.6% of the relation between UPF (1% increment in the diet) with all-cause and CVD mortality, respectively. CONCLUSION: A diet rich in UPF is associated with increased hazards of all-cause and CVD mortality among individuals with prior cardiovascular events, possibly through an altered renal function. Elevated UPF intake represents a major public health concern in secondary CVD prevention.

Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry.

Purpose: Radiation-induced skin toxicity is a common and distressing side effect of breast radiation therapy (RT). We investigated the use of quantitative spectrophotometric markers as input parameters in supervised machine learning models to develop a predictive model for acute radiation toxicity. Methods and materials: One hundred twenty-nine patients treated for adjuvant whole-breast radiotherapy were evaluated. Two spectrophotometer variables, i.e. the melanin (IM) and erythema (IE) indices, were used to quantitatively assess the skin physical changes. Measurements were performed at 4-time intervals: before RT, at the end of RT and 1 and 6 months after the end of RT. Together with clinical covariates, melanin and erythema indices were correlated with skin toxicity, evaluated using the Radiation Therapy Oncology Group (RTOG) guidelines. Binary group classes were labeled according to a RTOG cut-off score of ≥ 2. The patient's dataset was randomly split into a training and testing set used for model development/validation and testing (75%/25% split). A 5-times repeated holdout cross-validation was performed. Three supervised machine learning models, including support vector machine (SVM), classification and regression tree analysis (CART) and logistic regression (LR), were employed for modeling and skin toxicity prediction purposes. Results: Thirty-four (26.4%) patients presented with adverse skin effects (RTOG ≥2) at the end of treatment. The two spectrophotometric variables at the beginning of RT (IM,T0 and IE,T0), together with the volumes of breast (PTV2) and boost surgical cavity (PTV1), the body mass index (BMI) and the dose fractionation scheme (FRAC) were found significantly associated with the RTOG score groups (p<0.05) in univariate analysis. The diagnostic performances measured by the area-under-curve (AUC) were 0.816, 0.734, 0.714, 0.691 and 0.664 for IM, IE, PTV2, PTV1 and BMI, respectively. Classification performances reported precision, recall and F1-values greater than 0.8 for all models. The SVM classifier using the RBF kernel had the best performance, with accuracy, precision, recall and F-score equal to 89.8%, 88.7%, 98.6% and 93.3%, respectively. CART analysis classified patients with IM,T0 ≥ 99 to be associated with RTOG ≥ 2 toxicity; subsequently, PTV1 and PTV2 played a significant role in increasing the classification rate. The CART model provided a very high diagnostic performance of AUC=0.959. Conclusions: Spectrophotometry is an objective and reliable tool able to assess radiation induced skin tissue injury. Using a machine learning approach, we were able to predict grade RTOG ≥2 skin toxicity in patients undergoing breast RT. This approach may prove useful for treatment management aiming to improve patient quality of life.