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Mattias Johansson

Publications and source records attributed to Mattias Johansson.

4 recordsLinked to original sources

The proteomic profile of leisure time physical activity across two decades: implications for future cardiovascular risk and mortality.

AIMS: We aimed to (i) investigate associations between leisure time physical activity level cumulated over 20 years and multiple plasma proteins and (ii) explore if proteins significantly associated with physical activity are also associated with risk of imminent myocardial infarction (MI), long-term MI, and mortality. METHODS AND RESULTS: In the cohort Uppsala Longitudinal Study of Adult Men, leisure time physical activity was self-reported at Ages 50, 60, and 70. At Age 70, 720 plasma proteins were analysed in 782 participants with up to 19.3 years of follow-up for MI and 26.3 years follow-up for mortality. In the nested case-cohort study Markers of Imminent Myocardial Infarction, plasma proteins were measured in disease-free individuals from six European cohorts. Cases (n = 420) were those with acute MI within 6 months of a blood draw, with up to four cohort representatives per case (n = 1598). A higher level of leisure time physical activity level was inversely associated with 12 plasma proteins after adjusting for age, education, smoking, and established cardiovascular risk factors (Bonferroni-corrected P < 0.000069). Of these 12 proteins, interleukin-6 was associated with increased incidence of imminent MI [hazard ratio, HR 1.22; 95% confidence interval, CI (1.09-1.37)], tumour necrosis factor receptor superfamily member 11A was associated with increased long-term MI incidence [HR 1.22 (1.01-1.48)] and 11 proteins were associated with increased mortality [HR 1.14-1.30 (1.01-1.42)]. CONCLUSION: These findings confirm and extend our understanding of how physical activity could assert its beneficial effect on cardiovascular health through proteins involved with modulating inflammatory, immune, and metabolic pathways. Further research is needed to explore the causal mechanisms behind these associations. LAY SUMMARY: In this study, we aimed to investigate (i) whether leisure time physical activity level cumulated over 20 years is associated with 720 plasma proteins and (ii) if proteins that are significantly associated with leisure time physical activity level across 20 years in Part 1 are also associated with imminent and long-term risk of myocardial infarction (MI) and mortality.Higher physical activity level over 20 years was inversely associated with 12 plasma proteins involved in inflammatory, immune, and metabolic processes. Several plasma proteins were in turn associated with MI and mortality.Findings confirm and extend our understanding how physical activity could assert its beneficial effect on cardiovascular health via the circulating plasma proteins.

Humans

The Association of Diabetes-Related Dietary Patterns with Pancreatic Cancer Risk in the European Prospective Investigation into Cancer and Nutrition Study.

BACKGROUND: Pancreatic cancer is relatively rare but remains one of the most lethal tumors. Identifying modifiable risk factors is a crucial step to reduce disease burden. Evidence suggests a potential role of type 2 diabetes mellitus in its pathogenesis. OBJECTIVES: The objective of this study is to examine the association between dietary patterns related to diabetes and pancreatic cancer risk in a European population. METHODS: A total of 367,395 participants from the European Prospective Investigation into Cancer and Nutrition study were included. After a median follow-up of 14.9 y, 926 incident cases were identified. The Diabetes Risk Reduction Diet (DRRD), the Empirical Dietary Index for Hyperinsulinemia (EDIH), and the Empirical Dietary Index for Insulin Resistance (EDIR) were estimated from food frequency questionnaires at recruitment. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between dietary patterns and pancreatic cancer were calculated using multivariable Cox proportional hazards regression models, adjusted for relevant confounders. RESULTS: Adherence to DRRD showed no association with risk of pancreatic cancer (HRT3vsT1: 0.94; 95% CI: 0.79, 1.12). Higher adherence to EDIH was associated with a borderline 19% increased pancreatic cancer risk (HRT3vsT1: 1.19; 95% CI: 0.99, 1.44). No significant associations were observed in relation to EDIR. No heterogeneity was observed among the subgroups. CONCLUSIONS: Higher adherence to a hyperinsulinemic dietary pattern may contribute to risk of developing pancreatic cancer in our population. Further research is warranted to elucidate the potential role of dietary factors in cancer risk prevention.

Humans

Immune Markers and Risk of Pancreatic Cancer in the European EPIC Cohort.

The immune system is a major driver in pancreatic cancer development. Several prospective cohort studies have found associations for single immune system-derived proteins such as IL6 or CRP, but results are inconclusive, and Omics-based research is scarce. Hence, we aimed to investigate associations of a comprehensive protein panel with the risk of pancreatic cancer. Within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, 92 immune proteins were measured in baseline blood samples of 406 incident pancreatic cancer cases and 406 sex- and age-matched controls, using the Olink Immuno-Oncology panel. Multivariable adjusted conditional logistic regression was used to estimate odds ratios (OR, 95% CI) for protein levels in association with pancreatic cancer risk. Eight biomarkers were associated with pancreatic cancer risk (MMP12, LAMP3, CD28, IL-6, IL-12, FASLG, PD-L2, and PDCD1) but only MMP12 was significantly associated after multivariable adjustments for confounders and the seven proteins, with OR&#x2009;=&#x2009;1.56 (95% CI: 1.20-2.03) for a doubling in protein concentration. After correction for multiple testing, none of the proteins were associated with risk. Restricting analyses to cases diagnosed within the first 4&#x2009;years and 4-8&#x2009;years after recruitment resulted in OR of 1.89 (95% CI: 1.28-2.80) and 1.37 (95% CI: 1.01-1.86) for MMP12, respectively. Higher levels of MMP12 were associated with pancreatic cancer risk specifically in those diagnosed shortly after recruitment, while other immune-related factors were not associated with risk. Further cohort studies are needed to confirm our initial findings.

Humans

Plasma signals of lung tumor promotion for molecular cancer prevention.

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) trial demonstrated reduced lung cancer incidence with interleukin (IL)-1&#x3b2; inhibition, the high number needed to treat (NNT) to prevent lung cancer limits its use in unselected populations. Using machine learning, we identified a 14-protein plasma signature predicting lung cancer more than 5 years before diagnosis. The signature, validated across eight cohorts, was elevated in current smokers and individuals exposed to particulate matter (PM) and linked to lung myeloid and alveolar cells. In epidermal growth factor receptor (EGFR)-driven lung adenocarcinoma, diverse epithelial lineages converged on a keratin8+/claudin4+ alveolar transitional state (KAC), whose transcriptional programs correlated with signature emergence. Components of the signature were induced by PM, oncogenic EGFR, or IL-1&#x3b2;, whereas IL-1&#x3b2; inhibition restrained PM-driven KAC expansion and early tumorigenesis. In CANTOS, the signature identified individuals who seemed to benefit more from anti-IL-1&#x3b2; therapy, lowering the NNT threshold and nominating circulating signals of tumor promotion for prevention.

Humans