What Do We Currently Know about the Pathophysiology of Alcoholic Pancreatitis: A Brief Review

Żorniak, Michał; Sirtl, Simon; Mayerle, Julia; Beyer, Georg

doi:10.1159/000508173

Cited by 14 publications

(8 citation statements)

References 86 publications

(102 reference statements)

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“…Mamoshina et al showed that smoking is associated with accelerated aging 112 . Similarly, alcohol consumption 113 affects the brain [114][115][116] , lungs 117,118 , blood vessels 119 , heart [119][120][121][122] , liver [123][124][125] , pancreas 126,127 , bones 128,129 , muscles 130 , blood [131][132][133] and kidneys 134 . There is limited evidence that alcohol consumption affects the eyes in the long term according to the literature [135][136][137] , but we found significant associations between accelerated eye aging and alcohol consumption variables (e.g.…”

Section: Xwas Results Highlighting General Aging Factorsmentioning

confidence: 99%

Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictors

Collin

Diai

et al. 2021

Preprint

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It is hypothesized that there are inter-individual differences in biological aging; however, differences in aging among (heart images vs. electrophysiology) and across (e.g., brain vs heart) physiological dimensions have not been systematically evaluated and compared. We analyzed 676,787 samples from 502,211 UK Biobank participants aged 37-82 years with deep learning approaches to build a total of 331 chronological age predictors on different data modalities such as videos (e.g. heart magnetic resonance imaging [MRI]), images (e.g. brain, liver and pancreas MRIs, full body X-rays, eye fundus and optical coherence tomography [OCT] images, carotid ultrasound images), time-series (e.g. electrocardiograms [ECGs], pulse wave analysis, wrist accelerometer data) and scalar data (e.g. blood biomarkers, anthropometric measures) to characterize the multiple dimensions of aging. We combined these age predictors into 11 main aging dimensions, 31 subdimensions and 84 sub-subdimensions ensemble models based on specific organ systems. Some of the organ systems were highly predictive of age. For example, heart features predict chronological age with a testing root mean squared error (RMSE) and standard error of 2.83+/-0.04 years, and musculoskeletal features predict age with a RMSE of 2.65+/-0.04 years. We defined "accelerated" agers as participants whose predicted age was greater than their chronological age and computed the correlation between these different definitions of accelerated aging. We found that most aging dimensions are largely uncorrelated (average correlation=.139+/-.090) but that dimensions that are biologically related tend to be more positively correlated. For example, we found that heart anatomical (from MRI) accelerated aging and heart electrical (from ECG) accelerated aging are correlated (average Pearson of .249+/-.005). Likewise, we found that most aging dimensions are genetically largely uncorrelated (average correlation=.104+/-.149). For example, heart anatomical and electrical accelerated aging are genetically .508+/-.089 correlated (r_g). We identified 9,697 SNPs in 3,318 genes associated with accelerated aging in at least one aging dimension and found an average GWAS-based heritability for accelerated aging of 26.1+/-7.42% (e.g. heart aging: 35.2+/-1.6%). Finally, we identified biomarkers, clinical phenotypes, diseases, family history, environmental variables and socioeconomic variables associated with accelerated aging in each aging dimension and computed the correlation between the different aging dimensions in terms of these associations. We found that environmental and socioeconomic variables are similarly associated with accelerated aging across aging dimensions (average correlations of respectively .639+/-.180 and .607+/-.309). We also built multivariate models to predict accelerated aging as a function of these same variables. For example, we predicted accelerated pulse wave analysis-measured arterial aging from diet with a R2 of 9.1%. Overall, most dimensions of aging are complex traits with both genetic and non-genetic correlates. These dimensions are weakly correlated with each other, highlighting the multidimensionality of the aging process and the need for multi-dimensional biological age predictors. Our results can be interactively explored on the following website: https://www.multidimensionality-of-aging.net/

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Section: Xwas Results Highlighting General Aging Factorsmentioning

confidence: 99%

Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictors

Collin

Diai

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…In the United States, around 80% of acute pancreatitis cases are caused by alcohol use and cholelithiasis [ 1 - 3 ]. In extremely rare cases, the etiology of acute pancreatitis can be attributed to a viral origin, with viral hepatitis, measles, mumps, varicella, and cytomegalovirus being the most common culprits [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

“…Approximately 80% of acute pancreatitis cases in the United States are due to alcohol consumption and cholelithiasis [ 1 - 3 ]. Viral pancreatitis is a rare phenomenon and is scantly reported in the literature, with the most common culprits being hepatitis viruses, measles, mumps, varicella, and cytomegalovirus [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Rapidly Progressive Emphysematous Pancreatitis With Massive Hemorrhage and Multi-Organ Failure: A Severe Sequela of COVID-19

Bassi¹,

Alzghoul²,

Charles³

et al. 2023

Cureus

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The COVID-19 global pandemic continues to wreak havoc on a number of affected patients and poses a significant burden on the healthcare system. Even though it has been over two years since the pandemic emerged, clinical presentations in affected patients continue to appall clinicians. Emphysematous pancreatitis is a rare, fatal complication of acute necrotizing pancreatitis presenting with a high mortality rate. This rare entity stems from superinfection of acute necrotizing pancreatitis with gram-negative bacteria, most commonly from Escherichia coli (E. coli), among others. Herein, we present a rare case of acute necrotizing pancreatitis complicated by emphysematous necrosis with hemorrhagic conversion and E. coli septicemia in a 60-year-old morbidly obese male patient without any underlying risk factors. He presented with respiratory failure in the setting of COVID-19 and was subsequently diagnosed with acute necrotizing pancreatitis complicated by emphysematous necrosis. To our knowledge, emphysematous pancreatitis in the setting of COVID-19 with no other attributable causes for pancreatitis was not previously reported in the literature. This article aims to report an unusual association between COVID-19 infection and acute emphysematous pancreatitis with evidence of hemorrhagic conversion. Furthermore, given the neoteric nature of this viral infection, we hope to promote sensitivity toward capturing additional clinical features associated with active COVID-19 infection, with the goal to keep clinicians abreast with its many possible sequelae.

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“…2021. №4 факторов, а также факторов окружающей среды, влияющих на риск развития алкогольного панкреатита [1].…”

Section: научные обзорыunclassified

The role of alcohol metabolism enzymes in chronic alcoholic pancreatitis (review)

Алиева¹

2021

Nauchno-Prakticheskii Zhurnal «Medicinskaia Genetika

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Алкогольный метаболизм является решающим биологическим фактором, значительно влияющим на злоупотребление алкоголем, развитие алкоголизма и алкогольное повреждение органов. Основной путь метаболизма этанола - это алкогольдегидрогеназный путь превращения в ацетальдегид, который переходит в митохондрии и окисляется до уксусной кислоты. Через этот путь проходит 80-90% всего этанола. За окисление 10-20% этанола отвечает алкогольоксидаза (цитохром P450), также называемая «микросомальная этанолокисляющая система» (MEOS/CYP2E1). Основные ферменты метаболизма алкоголя проявляют генетический полиморфизм и этническую изменчивость. В данном обзоре представлены достижения последних десятилетий в понимании функциональных полиморфных локусов генов ADH и ALDH и их метаболических, физиологических и клинических корреляций. Alcohol metabolism is a decisive biological factor that significantly affects alcohol abuse, the development of alcoholism and alcohol damage to organs. The main pathway of ethanol metabolism is the alcohol dehydrogenase pathway to acetaldehyde, which passes into the mitochondria and is oxidized to acetic acid. 80-90% of all ethanol passes through this path. Alcohol oxidase (cytochrome P450), also called microsomal ethanol oxidation system (MEOS/CYP2E1), is responsible for the oxidation of 10-20% of ethanol. The main alcohol metabolizing enzymes exhibit genetic polymorphism and ethnic variation. This review presents recent advances in understanding the functional polymorphisms of alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) and their metabolic, physiological, and clinical correlations.

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What Do We Currently Know about the Pathophysiology of Alcoholic Pancreatitis: A Brief Review

Cited by 14 publications

References 86 publications

Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictors

Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictors

Rapidly Progressive Emphysematous Pancreatitis With Massive Hemorrhage and Multi-Organ Failure: A Severe Sequela of COVID-19

The role of alcohol metabolism enzymes in chronic alcoholic pancreatitis (review)

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