Nonalcoholic fatty liver disease can be predicted by retinal vascular changes in patients with obesity without hypertension or diabetes

Romero-Ibarguengoitia, María Elena; Herrera-Rosas, Arturo; Domínguez-Mota, Alfredo A.; Camas-Benitez, Jinny T.; Serratos-Canales, María Fabiola; León-Hernández, Mireya; González-Chávez, Antonio; López-Ortiz, Eduardo; Mummidi, Srinivas; Duggirala, Ranvidranth; López-Alvarenga, Juan Carlos

doi:10.1097/meg.0000000000000900

Cited by 5 publications

(16 citation statements)

References 21 publications

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“…In a previous published paper we had a group of patients with BMI<25 and NAFLD which showed the higher inflammatory process. So if we had included this fourth group in our present models we probably would found higher alteration in β oxidation and inflammatory markers[ 45 – 47 ].…”

Section: Discussionmentioning

confidence: 99%

Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach

Romero-Ibarguengoitia

Vadillo-Ortega

Caballero

et al. 2018

PLoS ONE

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BackgroundStructural equation modeling (SEM) can help understanding complex functional relationships among obesity, non-alcoholic fatty liver disease (NAFLD), family history of obesity, targeted metabolomics and pro-inflammatory markers. We tested two hypotheses: 1) If obesity precedes an excess of free fatty acids that increase oxidative stress and mitochondrial dysfunction, there would be an increase of serum acylcarnitines, amino acids and cytokines in obese subjects. Acylcarnitines would be related to non-alcoholic fatty disease that will induce insulin resistance. 2) If a positive family history of obesity and type 2 diabetes are the major determinants of the metabolomic profile, there would be higher concentration of amino acids and acylcarnitines in patients with this background that will induce obesity and NAFLD which in turn will induce insulin resistance.Methods/Results137 normoglycemic subjects, mean age (SD) of 30.61 (8.6) years divided in three groups: BMI<25 with absence of NAFLD (G1), n = 82; BMI>30 with absence of NAFLD (G2), n = 24; and BMI>30 with NAFLD (G3), n = 31. Family history of obesity (any) was present in 53%. Both models were adjusted in SEM. Family history of obesity predicted obesity but could not predict acylcarnitines and amino acid concentrations (effect size <0.2), but did predict obesity phenotype.ConclusionFamily history of obesity is the major predictor of obesity, and the metabolic abnormalities on amino acids, acylcarnitines, inflammation, insulin resistance, and NAFLD.

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Section: Discussionmentioning

confidence: 99%

Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach

Romero-Ibarguengoitia

Vadillo-Ortega

Caballero

et al. 2018

PLoS ONE

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“…Of note, only one study has con rmed retinal vascular changes as a predictor of NAFLD in obese patients in the absence of diabetes and hypertension which implies the intrinsic role of NAFLD in initiating retinal changes. [35] A link between NAFLD pathophysiology and CT can be justi ed on a molecular basis. Asymmetric dimethyl arginine (ADMA), an endogenous inhibitor of nitric oxide synthase (NOs), plays a critical role in endothelial dysfunction in NAFLD patients.…”

Section: Discussionmentioning

confidence: 99%

“…[41] This study also suggested that CT is inversely associated with homocysteine, albumin, aspartate transaminase (AST), alanine transaminase (ALT) and high-density lipoprotein (HDL) all of which are applicable as biomarkers of NAFLD and hepatic damages. [42,43] Moreover, Romero-Ibarguengoitia et al [35] indicated that non-diabetic thin NAFLD patients with retinal vascular changes (RVC) have higher levels of IL-2, IL-6, TNF-α, and interferon-γ and CRP level independently contributes to higher risk of NAFLD, obesity and RVC.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of choroidal thickness in non-alcoholic fatty liver disease

Niyousha,

Razmaray,

Mohammadi

et al. 2024

Preprint

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We aimed to evaluate choroidal thickness with optical coherence tomography (OCT) in patients with non-alcoholic fatty liver disease (NAFLD). Twenty-five patients diagnosed with grade 2 NAFLD between the ages of 20 and 40 along with 20 age and sex-matched healthy controls were recruited. After full ophthalmological examination, choroidal thickness (CT) at fovea, nasal 500, nasal 1000, temporal 500 and temporal 1000-micron distances was obtained for both eyes using enhanced depth imaging (EDI)-OCT. Mean ages of NAFLD patients and healthy controls were 34.25±2.00 and 33.41±2.00 respectively. Statistical analysis showed that in the measurements taken from 1000-micron nasal to the left fovea, CT was 320.25±36.16 μm in NAFLD group and 298.05±36.90 μm in healthy group which showed a significant difference between two groups (p=0.046). No other measurements were statistically significant between groups (p > 0.05 for all measurements). In concussion, Choroidal thickness was not affected in grade 2 NAFLD.

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“…It has been previously reported the elevation of certain proinflammatory cytokines in NAFLD in patients with BMI less than 25 such as interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and interferon-gamma (IFN-γ) [13,15]. This association has been linked to hepatic pro-regenerative process [15].…”

Section: Discussionmentioning

confidence: 99%

“…A previously published study in a Mexican population demonstrated that non-obese patients with NAFLD showed increased retinal vascular changes and an elevation in pro-inflammatory processes such as C-reactive protein and interleukins compared with obese patients with NAFLD [13].…”

Section: Introductionmentioning

confidence: 99%

Predictive markers of nonalcoholic fatty liver disease in lean patients. A multinomial regression model and a 2k factorial analysis

Purón-González

González-Cantú

Coronado-Alejandro

et al. 2020

European Journal of Gastroenterology &Amp; Hepatology

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Objective Nonalcoholic fatty liver disease (NAFLD) is associated with obesity and insulin resistance; however, there is a group of non-obese patients with NAFLD that need to be characterized. Our aim was to evaluate the factors associated with NAFLD in non-obese subjects in a third-level hospital. Methods A comparative cross-sectional study was performed. Participants were divided into four groups: non-obese without NAFLD (group 1), non-obese with NAFLD (group 2), obese without NAFLD (group 3), and obese with NAFLD (group 4). We evaluated the effect of clinical and biochemical characteristics with the disease by groups using a multinomial regression model and a 2K factorial analysis. Results We included 278 participants. Low platelet–lymphocyte ratio (PLR) as a novel parameter associated with NAFLD in non-obese subjects. Age, uric acid, alanine transaminase (ALT), high-density lipoprotein (HDL)-cholesterol, and neutrophil–lymphocyte ratio (NLR) were other related parameters (akaike information criterion = 557). NLR had the larger OR in groups with NAFLD (lean with NAFLD 7.12, obese with NAFLD 13.02). The 2k factorial design found inverse effect on PLR by NAFLD (effect –21.89, P < 0.001), which was higher than BMI (effect –1.33, P < 0.045). Conclusion Our study found that PLR is a novel parameter with inverse correlation with NAFLD in non-obese patients. Other related parameters are age, hyperuricemia, elevation of ALT and NLR, and low HDL-cholesterol.

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Nonalcoholic fatty liver disease can be predicted by retinal vascular changes in patients with obesity without hypertension or diabetes

Abstract: NAFLD in patients with obesity without diabetes or hypertension can be predicted by RVC, a noninvasive technique carried out by eye fundoscopy. NAFLD alone can drive inflammatory conditions in the absence of obesity that manifests as RVC.

Cited by 5 publications

References 21 publications

Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach

Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach

Evaluation of choroidal thickness in non-alcoholic fatty liver disease

Predictive markers of nonalcoholic fatty liver disease in lean patients. A multinomial regression model and a 2k factorial analysis

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