Is Non-Alcoholic Fatty Liver Disease Connected with Cognition? The Complex Interplay between Liver and Brain

The prevalence of non-alcoholic fatty liver disease (NAFLD) and its progressive form, non-alcoholic steatohepatitis (NASH), is increasing in parallel with the rising rates of obesity and type 2 diabetes. Approximately one in four adults are diagnosed with liver steatosis globally. NAFLD is associated with insulin resistance, hypertension, obesity, visceral adiposity, and dyslipidaemia. These risk factors are often accompanied by inflammation and oxidative stress, which also play a role in extrahepatic diseases, including conditions related to the central nervous system, such as mild cognitive impairment and Alzheimer’s disease. The number of people living with dementia is approximately 55 million and is estimated to increase to approximately 2 billion people by 2050. Recent studies have found that NAFLD is associated with poorer cognition. The aim of this review was to summarise the findings of hitherto studies that have linked NAFLD with cognition and dementia, as well as to discuss the potential liver–brain pathways

Dietary patterns, caloric restrictions for management of cardiovascular disease and cancer; a brief review

Cardiovascular disease (CVD) and cancers are overall still identified as the two most prevalent non-communicable diseases globally. Their prevention and potential reversal (in particular CVD risk) was seen effective with the modification of dietary intake that was applied in several different populations. Although the findings from epidemiological studies provide support that adhering to dietary patterns such as the Mediterranean diet can reduce incidence and prevalence of CVD and some forms of cancer, the mechanistic aspects of disease modulation associated with both diseases can be seen in dietary management. Several studies have already explored the potential modes of action of certain nutrients in well controlled large clinical trials. However, the clinical trials designed to determine the effects of adhering to a particular diet are relatively hard to conduct and these studies are faced with several obstacles particularly in the populations that are identified with a high risk of CVD or different cancers. Therefore, it is important to understand potential underlying and shared mechanisms of action and to explore how healthy dietary patterns may modulate the occurrence, initiation, and progression of such diseases. The aim of this review is to summarise and conceptualize the current understanding relating to healthy dietary patterns, and briefly discuss the opportunities that epigenetic research may bring and how it may assist to further interpret epidemiological and clinical evidence

The association between serum uric acid levels and 10-year cardiovascular disease incidence: results from the ATTICA prospective study.

Limited data suggests possible gender-specific association between serum uric acid (SUA) and cardiovascular disease (CVD) incidence. The aim of the present analysis was to evaluate the association between SUA levels and 10-year CVD incidence (2002-2012) in the ATTICA study participants. Overall, 1687 apparently healthy volunteers, with SUA measurements, residing in the greater metropolitan Athens area (Greece), were included. Multivariable Cox-regression models were used to estimate the hazard ratios for SUA in relation to 10-year CVD incidence. Receiver operating curve analysis was conducted to detect optimal SUA cut-off values. Participants in the 2nd and 3rd SUA tertile had 29 and 73% higher 10-year CVD incidence compared with those in the 1st tertile (p < 0.001). In gender-specific analysis, only in women SUA was independently associated with CVD incidence; women in the 3rd SUA tertile had 79% greater 10-year CVD event risk compared to their 1st tertile counterparts. Obese in the 3rd SUA tertile had 2-times higher CVD incidence compared to those in the 1st tertile. Similar findings were observed in metabolically healthy (vs. unhealthy) and metabolically healthy obese. SUA thresholds best predicting 10-year CVD incidence was 5.05 and 4.15 mg/dL (0.30 and 0.25 mmol/L) in men and women, respectively. In conclusion, increased SUA levels were independently related to 10-year CVD event rate in women, obese and metabolically healthy individuals. SUA could predict 10-year CVD incidence even at low levels. Further studies are warranted to identify SUA cut-off values that may improve the detection of individuals at higher CVD risk in clinical practice

Is Non-Alcoholic Fatty Liver Disease Connected with Cognition?: The Complex Interplay between Liver and Brain

The prevalence of non-alcoholic fatty liver disease (NAFLD) and its progressive form, non-alcoholic steatohepatitis (NASH), is increasing in parallel with the rising rates of obesity and type 2 diabetes. Approximately one in four adults are diagnosed with liver steatosis globally. NAFLD is associated with insulin resistance, hypertension, obesity, visceral adiposity, and dyslipidaemia. These risk factors are often accompanied by inflammation and oxidative stress, which also play a role in extrahepatic diseases, including conditions related to the central nervous system, such as mild cognitive impairment and Alzheimer’s disease. The number of people living with dementia is approximately 55 million and is estimated to increase to approximately 2 billion people by 2050. Recent studies have found that NAFLD is associated with poorer cognition. The aim of this review was to summarise the findings of hitherto studies that have linked NAFLD with cognition and dementia, as well as to discuss the potential liver–brain pathways

Visualization of Nutrient-Related Clinical Practice Guidelines in Childhood

Obesity and diabetes rates have been rising to epidemic levels during the last decade, especially among young populations. Recommendations for clinicians and primary healthcare providers concerning the improvement of childhood nutrition and the healthcare of childhood nutrition-related diseases are of major interest. Clinical Practice Guidelines (CPGs) of the most updated evidence-based recommendations are useful tools that help clinicians in their practice. However, a gap has been observed between the suggested CPGs and their implementation in the context of everyday clinical practice. This could be merely attributed to the text format that is usually presented. In this review article, all the CPGs about the best dietary advice regarding energy and macronutrient intake in childhood and the most common chronic nutrition-related childhood diseases, i.e., obesity, dyslipidemia, and diabetes mellitus type 1 and 2, are summarized and visualized in an algorithmic format and practical examples are given. This could help healthcare providers to achieve a higher adoption rate of CPGs in clinical practice, thus, resulting in better management of children’s health and improved clinical outcomes

Lipoprotein (a) and 10-year cardiovascular disease incidence in apparently healthy individuals: A sex-based sensitivity analysis from ATTICA Cohort Study

The association between lipoprotein (a) (Lp(a)) and 10-year first fatal/nonfatal cardiovascular disease (CVD) risk in apparently healthy men and women was evaluated. The ATTICA prospective study was conducted during 2001-2012 and included n = 1514 men and n = 1528 women (age \u3e18 years) from the greater Athens area, Greece. Follow-up CVD assessment (2011-2012) was achieved in n = 2020 participants (n = 317 cases); baseline Lp(a) was measured in n = 1890 participants. The recommended threshold of 50 mg/dL was used to define abnormal Lp(a) status. Ten-year CVD-event rate was 14% and 24% in participants with Lp(a)Lp(a) ≥50 mg/dL, respectively. Multivariate analysis revealed that participants with Lp(a) ≥50 mg/dL versus Lp(a)/dL had about 2 times higher CVD risk (hazard ratio (HR) = 2.18, 95% confidence interval (CI) 1.11, 4.28). The sex-based analysis revealed that the independent Lp(a) effect was retained only in men (HR = 2.00, 95% CI 1.19, 2.56); in women, significance was lost after adjusting for lipid markers. Sensitivity analyses revealed that Lp(a) increased CVD risk only in case of abnormal high-density lipoprotein cholesterol, apolipoprotein A1, and triglycerides as well as low adherence to Mediterranean diet. Certain patient characteristics may be relevant when considering Lp(a) as a therapeutic or risk-prediction target

The association between serum uric acid levels and 10-year cardiovascular disease incidence:Results from the ATTICA prospective study

Limited data suggests possible gender-specific association between serum uric acid (SUA) and cardiovascular disease (CVD) incidence. The aim of the present analysis was to evaluate the association between SUA levels and 10-year CVD incidence (2002–2012) in the ATTICA study participants. Overall, 1687 apparently healthy volunteers, with SUA measurements, residing in the greater metropolitan Athens area (Greece), were included. Multivariable Cox-regression models were used to estimate the hazard ratios for SUA in relation to 10-year CVD incidence. Receiver operating curve analysis was conducted to detect optimal SUA cut-off values. Participants in the 2nd and 3rd SUA tertile had 29 and 73% higher 10-year CVD incidence compared with those in the 1st tertile (p < 0.001). In gender-specific analysis, only in women SUA was independently associated with CVD incidence; women in the 3rd SUA tertile had 79% greater 10-year CVD event risk compared to their 1st tertile counterparts. Obese in the 3rd SUA tertile had 2-times higher CVD incidence compared to those in the 1st tertile. Similar findings were observed in metabolically healthy (vs. unhealthy) and metabolically healthy obese. SUA thresholds best predicting 10-year CVD incidence was 5.05 and 4.15 mg/dL (0.30 and 0.25 mmol/L) in men and women, respectively. In conclusion, increased SUA levels were independently related to 10-year CVD event rate in women, obese and metabolically healthy individuals. SUA could predict 10-year CVD incidence even at low levels. Further studies are warranted to identify SUA cut-off values that may improve the detection of individuals at higher CVD risk in clinical practice

A sex-specific evaluation of predicted lean and fat mass composition and cardiovascular disease onset and progression: A combined analysis of the ATTICA and GREECS prospective epidemiological studies

Objectives: To evaluate the association of predicted lean and fat mass on 10-year first and recurrent CVD incidence separately for men and women. Methods: Two prospective studies, ATTICA (2002-2012, n = 3042 subjects free-of-CVD, n = 1514 men (46 ± 13 years) and n = 1528 women (45 ± 14 years)) and GREECS (2004-2014, n = 2172 subjects with acute coronary syndrome (ACS), n = 1649 men (65 ± 13 years) and n = 523 women (62 ± 11 years)) were used. Lean mass index (LMI) and fat mass index (FMI) were created through total body lean and fat mass (indirectly calculated through population formulas based on body weight, height and waist circumference) divided by height squared. Follow-up was performed in n = 2020 of ATTICA (n = 317 first CVD events) and in n = 2172 patients of GREECS (n = 811 recurrent CVD events). Results: In ATTICA study, CVD rate from 1st to 3rd FMI tertile was 9.4%, 16.1% and 19.9% while in GREECS 36.2%, 37.0%, 38.3%. The LMI-related rates were 17.1%, 15.0% and 11.9% vs. 38.8%, 35.8% and 36.7%. Multiadjusted analysis revealed U-shape trend between LMI and CVD recurrence with 2nd LMI tertile having the best prognosis; this observation was more evident in women. In apparently healthy subjects, LMI-cardioprotective association was revealed only in 3rd tertile (HR = 0.91 95%CI (0.74, 0.95)); this was more evident in men. The FMI aggravating association (3rd tertile) was retained significant only in healthy women and ACS men. Conclusion: This work expands previous findings regarding body composition and cardiac health, implying that the association of lean and fat mass on long-term CVD incidence varies according to sex and prevention stage

The Effects of Dietary Advanced Glycation End-Products on Neurocognitive and Mental Disorders

Advanced glycation end products (AGEs) are glycated proteins or lipids formed endogenously in the human body or consumed through diet. Ultra-processed foods and some culinary techniques, such as dry cooking methods, represent the main sources and drivers of dietary AGEs. Tissue accumulation of AGEs has been associated with cellular aging and implicated in various age-related diseases, including type-2 diabetes and cardiovascular disease. The current review summarizes the literature examining the associations between AGEs and neurocognitive and mental health disorders. Studies indicate that elevated circulating AGEs are cross-sectionally associated with poorer cognitive function and longitudinally increase the risk of developing dementia. Additionally, preliminary studies show that higher skin AGE accumulation may be associated with mental disorders, particularly depression and schizophrenia. Potential mechanisms underpinning the effects of AGEs include elevated oxidative stress and neuroinflammation, which are both key pathogenetic mechanisms underlying neurodegeneration and mental disorders. Decreasing dietary intake of AGEs may improve neurological and mental disorder outcomes. However, more sophisticated prospective studies and analytical approaches are required to verify directionality and the extent to which AGEs represent a mediator linking unhealthy dietary patterns with cognitive and mental disorders

palaeoverse: A community‐driven R package to support palaeobiological analysis

1. The open-source programming language ‘R' has become a standard tool in the palaeobiologist's toolkit. Its popularity within the palaeobiological community continues to grow, with published articles increasingly citing the usage of R and R packages. However, there are currently a lack of agreed standards for data preparation and available frameworks to support the implementation of such standards. Consequently, data preparation workflows are often unclear and not reproducible, even when code is provided. Moreover, due to a lack of code accessibility and documentation, palaeobiologists are often forced to ‘reinvent the wheel’ to find solutions to issues already solved by other members of the community. 2. Here, we introduce palaeoverse, a community-driven R package to aid data preparation and exploration for quantitative palaeobiological research. The package is freely available and has three core principles: (1) streamline data preparation and analyses; (2) enhance code readability; and (3) improve reproducibility of results. To develop these aims, we assessed the analytical needs of the broader palaeobiological community using an online survey, in addition to incorporating our own experiences. 3. In this work, we first report the findings of the survey, which shaped the development of the package. Subsequently, we describe and demonstrate the functionality available in palaeoverse and provide usage examples. Finally, we discuss the resources we have made available for the community and our future plans for the broader Palaeoverse project. 4. palaeoverse is a community-driven R package for palaeobiology, developed with the intention of bringing palaeobiologists together to establish agreed standards for high-quality quantitative research. The package provides a user-friendly platform for preparing data for analysis with well-documented open-source code to enhance transparency. The functionality available in palaeoverse improves code reproducibility and accessibility, which is beneficial for both the review process and future research