Genetically determined prospect to become long-lived is associated with less abdominal fat and in particular less abdominal visceral fat in men

Metabolic profiling of the Chinese population with extreme longevity identifies Lysophospholipid species as potential biomarkers for the human lifespan

BACKGROUND

Metabolic regulation plays a crucial role in extending the healthspan and lifespan across multiple organisms, including humans. Although numerous studies have identified the characteristics of the metabolome and potential biomarkers in long-lived populations worldwide, the metabolome landscape of Chinese centenarians remains largely unknown. This study characterised the plasma metabolic profiles of Chinese centenarians and nonagenarians and identified potential biomarkers of longevity.

METHODS

A global untargeted metabolomics approach was used to analyze plasma samples from 65 centenarians (average age 101.72 ± 1.46 years), 53 nonagenarians (average age 98.92 ± 0.27 years), 47 older individuals (average age 64.66 ± 3.31 years), and 35 middle-aged participants (average age 33.91 ± 3.53 years) recruited from the Lishui region, an area of China well known for the longevity of its population.

RESULTS

The plasma metabolic profiles of centenarians and nonagenarians differed significantly from those of the two younger populations. Specifically, 211 and 114 differentially abundant metabolites (DAMs) were identified in the centenarian and nonagenarian groups, respectively. The majority of these DAMs were glycerophosphoethanolamines, glycerophosphocholines, fatty esters, fatty alcohols, fatty acyls, and fatty acids and conjugates. For example, the circulating levels of LysoPA (20:2), LysoPA (20:3), LysoPC (16:0), LysoPC (18:2), and LysoPE (20:4) were significantly lower in centenarians than in the older and middle-aged groups. A similar pattern was also observed in the nonagenarian population. Notably, the plasma levels of five DAMs - LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), PG (18:0/18:1), and PG (18:1/18:2) - were significantly and continuously reduced with the ageing process. Pearson correlation analysis revealed that the reduced abundance of LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), LysoPE (24:0), PG (18:0/18:1), and PG (18:1/18:2) was significantly and negatively associated with lifespan, from middle-age to centenarian. ROC analysis indicated that LysoPA (20:3), LysoPC (18:2), LysoPE (20:4), LysoPE (24:0), PG (18:0/18:1), and PG (18:1/18:2), as well as the combination of these six DAMs (AUC = 0.9074), had high predictive power for the human longevity phenotype.

CONCLUSION

This study elucidated the plasma metabolic landscape of centenarians and nonagenarians in China and identified several potential biomarkers for predicting human lifespan. Our findings will aid in understanding the metabolic regulation of longevity and may promote the clinical practice of gerontology in the future.

Association of metabolomic aging acceleration and body mass index phenotypes with mortality and obesity-related morbidities

This study aims to investigate the association between metabolomic aging acceleration and body mass index (BMI) phenotypes with mortality and obesity-related morbidities (ORMs). 85,458 participants were included from the UK Biobank. Metabolomic age was determined using 168 metabolites. The Chronological Age-Adjusted Gap was used to define metabolomically younger (MY) or older (MO) status. BMI categories were defined as normal weight, overweight, and obese. Participants were categorized into MY normal weight (MY-NW, reference), MY overweight (MY-OW), MY obesity (MY-OB), MO normal weight (MO-NW), MO overweight (MO-OW), and MO obesity (MO-OB). Mortality and 43 ORMs were identified through death registries and hospitalization records. Compared with MY-NW phenotype, MO-OB phenotype yielded increased risk of mortality and 32 ORMs, followed by MO-OW with mortality and 27 ORMs, MY-OB with mortality and 26 ORMs, MY-OW with 21 ORMs, and MO-NW with mortality and 14 ORMs. Consistently, MO-OB phenotype showed the highest risk of developing obesity-related multimorbidities, followed by MY-OB phenotype, MO-OW phenotype, MY-OW phenotype, and MO-NW phenotype. Additive interactions were found between metabolomic aging acceleration and obesity on CVD-specific mortality and 10 ORMs. Additionally, individuals with metabolomic aging acceleration had higher mortality and cardiovascular risk, even within the same BMI category. These findings suggest that metabolomic aging acceleration could help stratify mortality and ORMs risk across different BMI categories. Weight management should also be extended to individuals with overweight or obesity even in the absence of accelerated metabolomic aging, as they face increased healthy risk compared with MY-NW individuals. Additionally, delaying metabolic aging acceleration is needed for all metabolomically older groups, including those with normal weight.

Investigating causal relationships between exposome and human longevity: a Mendelian randomization analysis

BACKGROUND

Environmental factors are associated with human longevity, but their specificity and causality remain mostly unclear. By integrating the innovative "exposome" concept developed in the field of environmental epidemiology, this study aims to determine the components of exposome causally linked to longevity using Mendelian randomization (MR) approach.

METHODS

A total of 4587 environmental exposures extracting from 361,194 individuals from the UK biobank, in exogenous and endogenous domains of exposome were assessed. We examined the relationship between each environmental factor and two longevity outcomes (i.e., surviving to the 90th or 99th percentile age) from various cohorts of European ancestry. Significant results after false discovery rates correction underwent validation using an independent exposure dataset.

RESULTS

Out of all the environmental exposures, eight age-related diseases and pathological conditions were causally associated with lower odds of longevity, including coronary atherosclerosis (odds ratio = 0.77, 95% confidence interval [0.70, 0.84], P = 4.2 × 10-8), ischemic heart disease (0.66, [0.51, 0.87], P = 0.0029), angina (0.73, [0.65, 0.83], P = 5.4 × 10-7), Alzheimer's disease (0.80, [0.72, 0.89], P = 3.0 × 10-5), hypertension (0.70, [0.64, 0.77], P = 4.5 × 10-14), type 2 diabetes (0.88 [0.80, 0.96], P = 0.004), high cholesterol (0.81, [0.72, 0.91], P = 0.0003), and venous thromboembolism (0.92, [0.87, 0.97], P = 0.0028). After adjusting for genetic correlation between different types of blood lipids, higher levels of low-density lipoprotein cholesterol (0.72 [0.64, 0.80], P = 2.3 × 10-9) was associated with lower odds of longevity, while high-density lipoprotein cholesterol (1.36 [1.13, 1.62], P = 0.001) showed the opposite. Genetically predicted sitting/standing height was unrelated to longevity, while higher comparative height size at 10 was negatively associated with longevity. Greater body fat, especially the trunk fat mass, and never eat sugar or foods/drinks containing sugar were adversely associated with longevity, while education attainment showed the opposite.

CONCLUSIONS

The present study supports that some age-related diseases as well as education are causally related to longevity and highlights several new targets for achieving longevity, including management of venous thromboembolism, appropriate intake of sugar, and control of body fat. Our results warrant further studies to elucidate the underlying mechanisms of these reported causal associations.

Determinants of accelerated metabolomic and epigenetic aging in a UK cohort

Markers of biological aging have potential utility in primary care and public health. We developed a model of age based on untargeted metabolic profiling across multiple platforms, including nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry in urine and serum, within a large sample (N = 2,239) from the UK Airwave cohort. We validated a subset of model predictors in a Finnish cohort including repeat measurements from 2,144 individuals. We investigated the determinants of accelerated aging, including lifestyle and psychological risk factors for premature mortality. The metabolomic age model was well correlated with chronological age (mean r = .86 across independent test sets). Increased metabolomic age acceleration (mAA) was associated after false discovery rate (FDR) correction with overweight/obesity, diabetes, heavy alcohol use and depression. DNA methylation age acceleration measures were uncorrelated with mAA. Increased DNA methylation phenotypic age acceleration (N = 1,110) was associated after FDR correction with heavy alcohol use, hypertension and low income. In conclusion, metabolomics is a promising approach for the assessment of biological age and appears complementary to established epigenetic clocks.

Obesity with abundant subcutaneous adipose tissue increases the risk of post-ERCP pancreatitis

BACKGROUND/PURPOSE

The risk factors for post-endoscopic retrograde cholangiopancreatography pancreatitis (PEP) have been widely investigated. However, studies focusing on the body mass index (BMI) and distribution of adipose tissue have not been reported. Therefore, we examined the correlation between PEP and these factors.

METHODS

A total of 583 consecutive endoscopic retrograde cholangiopancreatography (ERCP)-naïve patients undergoing therapeutic ERCP were retrospectively analyzed. Subjects were categorized into four groups by BMI: underweight, normal, overweight, and obesity; the PEP rates were compared. In addition, the relationship between PEP and parameters of obesity, visceral and subcutaneous adipose tissue as well as abdominal circumference was investigated.

RESULTS

PEP rate was significantly higher in obesity (30 %) and lower in normal (3 %, P < 0.001). The PEP rate in underweight (7.3 %) was conversely higher than in normal. As for parameters of obesity, only subcutaneous adipose tissue was correlated with PEP incidence (P = 0.009). The correlation of PEP incidence with BMI and subcutaneous adipose tissue was separately reconfirmed by multivariate analysis including female gender and guidewire placement; these factors showed a tendency toward differences in univariate analysis.

CONCLUSIONS

Obesity could be a risk factor for PEP. In the obesity group, an excess of subcutaneous adipose tissue might be an especially important factor related to PEP incidence.