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- Bui, Anh T., et al.
(author)
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Reduced metabolic flexibility is a predictor of weight gain among liver transplant recipients
- 2023
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In: Liver transplantation. - : LIPPINCOTT WILLIAMS & WILKINS. - 1527-6465 .- 1527-6473.
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Journal article (peer-reviewed)abstract
- Metabolic flexibility is the ability to match biofuel availability to utilization and is inversely associated with increased metabolic burden among liver transplant (LT) recipients. The present study evaluated the impact of metabolic flexibility on weight gain following LT. LT recipients were enrolled prospectively (n = 47) and followed for 6 months. Metabolic flexibility was measured using whole-room calorimetry and is expressed as a respiratory quotient (RQ). Peak RQ represents maximal carbohydrate metabolism and occurs in the post-prandial state, while trough RQ represents maximal fatty acid metabolism occurring in the fasted state. The clinical, metabolic, and laboratory characteristics of the study cohort of lost weight (n = 14) and gained weight (n = 33) were similar at baseline. Patients who lost weight were more likely to reach maximal RQ (maximal carbohydrate oxidation) early and rapidly transitioned to trough RQ (maximal fatty acid oxidation). In contrast, patients who gained weight had delayed time to peak RQ and trough RQ. In multivariate modeling, time to peak RQ (& beta;-coefficient 0.509, p = 0.01), time from peak RQ to trough RQ (& beta;-coefficient 0.634, p = 0.006), and interaction between time to peak RQ to trough RQ and fasting RQ (& beta;-coefficient 0.447, p = 0.02) directly correlated with the severity of weight gain. No statistically significant relationship between peak RQ, trough RQ, and weight change was demonstrated. Inefficient transition between biofuels (carbohydrates and fatty acids) is associated with weight gain in LT recipients that is independent of clinical metabolic risk. These data offer novel insight into the physiology of obesity after LT with the potential to develop new diagnostics and therapeutics.
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| 2. |
- Linge, Jennifer, et al.
(author)
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Adverse muscle composition is a significant risk factor for all-cause mortality in NAFLD
- 2023
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In: JHEP Reports. - : ELSEVIER. - 2589-5559. ; 5:3
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Journal article (peer-reviewed)abstract
- Background & Aims: Adverse muscle composition (MC) (i.e., low muscle volume and high muscle fat) has previously been linked to poor functional performance and comorbidities in non-alcoholic fatty liver disease (NAFLD). In this study we aimed to investigate associations of all-cause mortality with liver fat, NAFLD, and MC in the UK Biobank imaging study.Methods: Magnetic resonance images of 40,174 participants were analyzed for liver proton density fat fraction (PDFF), thigh fat-free muscle volume (FFMV) z-score, and muscle fat infiltration (MFI) using the AMRA (R) Researcher. Participants with NAFLD were sex-, age-, and BMI-matched to participants without NAFLD with low alcohol consumption. Adverse MC was identified using previously published cut-offs. All-cause mortality was investigated using Cox regression. Models within NAFLD were crude and subsequently adjusted for sex, age, BMI (M1), hand grip strength, physical activity, smoking, alcohol (M2), and previous cancer, coronary heart disease, type 2 diabetes (M3).Results: A total of 5,069 participants had NAFLD. During a mean (+/- SD) follow-up of 3.9 (+/- 1.4) years, 150 out of the 10,138 participants (53% men, age 64.4 [+/- 7.6] years, BMI 29.7 [+/- 4.4] kg/m2) died. In the matched dataset, neither NAFLD nor liver PDFF were associated with all-cause mortality, while all MC variables achieved significance. Within NAFLD, adverse MC, MFI and FFMV z-score were significantly associated with all-cause mortality and remained so in M1 and M2 (crude hazard ratios [HRs] 2.84, 95% CI 1.70-4.75, p <0.001; 1.15, 95% CI 1.07-1.24, p <0.001; 0.70, 95% CI 0.55-0.88, p <0.001). In M3, the rela-tionship was attenuated for adverse MC and FFMV z-score (adjusted HRs 1.72, 95% CI 1.00-2.98, p = 0.051; 0.77, 95% CI 0.58-1.02, p = 0.069) but remained significant for MFI (adjusted HR 1.13, 95% CI 1.01-1.26, p = 0.026).Conclusions: Neither NAFLD nor liver PDFF was predictive of all-cause mortality. Adverse MC was a strong predictor of all -cause mortality in individuals with NAFLD.Impact and implications: Individuals with fatty liver disease and poor muscle health more often suffer from poor functional performance and comorbidities. This study shows that they are also at a higher risk of dying. The study results indicate that measuring muscle health (the patients muscle volume and how much fat they have in their muscles) could help in the early detection of high-risk patients and enable targeted preventative care.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of European Association for the Study of the Liver (EASL). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 3. |
- Siddiqui, Mohammad Shadab, et al.
(author)
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Saroglitazar improves nonalcoholic fatty liver disease and metabolic health in liver transplant recipients
- 2023
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In: Liver transplantation. - : LIPPINCOTT WILLIAMS & WILKINS. - 1527-6465 .- 1527-6473. ; 29:9, s. 979-986
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Journal article (peer-reviewed)abstract
- NAFLD is common after liver transplantation (LT) and is associated with an increased metabolic burden. Currently, there is a paucity of investigations into the treatment of post-LT NAFLD. In the present study, we evaluated the safety and efficacy of saroglitazar, a novel dual peroxisome proliferator-associated receptor & alpha;/& gamma; agonist, on the treatment of post-LT NAFLD and metabolic burden. This is a phase 2A, single-center, open-label, single-arm study in which patients with post-LT NAFLD received saroglitazar magnesium 4 mg daily for 24 weeks. NAFLD was defined by a controlled attenuation parameter & GE;264 dB/m. The primary endpoint was the reduction in liver fat as measured by MRI proton density fat fraction (MRI-PDFF). Secondary MRI-based metabolic endpoints included visceral adipose tissue, abdominal subcutaneous adipose tissue volumes, muscle fat infiltration, and fat-free muscle volume. Saroglitazar treatment led to a reduction in MRI-PDFF from 10.3 & PLUSMN;10.5% at baseline to 8.1 & PLUSMN;7.6%. A relative 30% reduction from baseline MRI-PDFF value was noted in 47% of all patients and 63% of patients with baseline MRI-PDFF >5%. Reduction in serum alkaline phosphatase was an independent predictor of MRI-PDFF response. Saroglitazar did not decrease fat-free muscle volume nor increase muscle fat infiltration, but did lead to a mild increase in visceral adipose tissue and abdominal subcutaneous adipose tissue. The study drug was well tolerated and a mild nonsignificant increase in serum creatinine was noted. Saroglitazar did not affect the weight. The study provides preliminary data demonstrating the safety and metabolic benefits of saroglitazar in LT recipients and underscores the importance of future studies to establish its efficacy after LT.
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