Metabolic changes in obese patients with steatotic liver disease associated with metabolic disfunction
DOI:
https://doi.org/10.52556/2587-3873.2025.2(104).08Keywords:
obesity, body mass index (BMI), cytolysis syndrome, lipid metabolismAbstract
Obese people have an impaired metabolism in the liver and in other organs and systems than those of normal weight. Purpose of study: To detect hepatic metabolic changes in obese individuals studied according to BMI. In the study were included 52 patients (pts) men -28(53.8%), women 24(46.2%), mean age -55.67±4.5 years, pts were divided into 4 groups (Lt): I-n=18 with body mass index (BMI) 30-34.9. Lt II n=11, with BMI 35-39,9, Lt III n=4 with BMI >40. The comparison group (Lc) consisted of n=19, with BMI 24 - 29,9 (kg/m2)).Results. ALAT level was increased in patients of all three groups, but maximum in Lt.III-92.3±2.2, p≤0.001, in Lt.II-88.3±2.2, p≤0.001, in Lt.I-70±1,7, p≥0.001, compared to Lc -47.3±1.3(un/l). Maximum reduced -max cholesterol-HDL in Lt-III with maximum BMI. Were detected in Lt. III-1.09±0.04 p≤0.001, vs control, in Lt.II-1.29±0.01 p≤0.001 and in Lt.I-1.4±0.01 p≤0.001 compared to LC-1.82±0.04 mmol/l. Decreased cholesterolLDL levels were established in Lt- III with maximum BMI -2,31±0,06 p≤0,001,in Lt.II-3,15±0,02 p≤0,001 and in Lt.I-3,42±0,04, p≤0,001 vs control. Lc-3.84=0.02 mmol/l. Reduced MCV index in Lt.III-81.5±1.3 p≤0.05 in Lt.II-82.9±1.8 p≤0.05 and in Lt.I-86.4±1.2 p≥0.05 vs LC-88.65±1.6 (fL). In Lt.III patients with BMI>40 kg/m², pronounced metabolic disturbances were evidenced. Conclusion. In patients of Lt III with BMI > 40 kg/m², pronounced disorders of lipid metabolism and liver function were evidenced in comparison with groups I, II and control.
References
Word. Obezity. Atlas 2023 Mach 2023. World Obesity Federation, World Obesity Atlas 2023. https://data.worldobesity.org/publications/?cat=19
Obesity. World Health Organization. Accessed 12/20/2022.https://www.who.int obesity
PAPADOPOULOS, C. et al. Lysophospholipid Metabolism and Signalling in Non-Alcoholic Fatty Liver Disease. In: Folia Med (Plovdiv). 2022, vol. 64(1), pp. 7-12. https://doi.org/10.3897/folmed.64.e59297
LI, L. et al. Obesity is an independent risk factor for non-alcoholic fatty liver disease: evidence from a meta-analysis of 21 cohort studies. In: Obes Rev. 2016, vol. 17(6), pp. 510-519. https://doi.org/10.1111/obr.12407
GREGOR, M.F. et al. Inflammatory mechanisms in obesity. In: Annu Rev Immunol. 2011, vol. 29, pp. 415-445.
https://doi.org/10.1146/annurev-immunol-031210-101322
FARHANGI, M.A. et al. White blood cell count in women: relation to inflammatory biomarkers, haematological profiles, visceral adiposity, and other cardiovascular risk factors. In: J Health Popul Nutr. 2013, vol. 31(1), pp. 58-64.
https://doi.org/10.3329/jhpn.v31i1.14749
PURDY, J.C. et al. The hematologic consequences of obesity. In: Eur J Haematol. 2021, vol. 106(3), pp. 306-319. https://doi.org/10.1111/ejh.13560
LUPAȘCO Iu. DUMBRAVA V.A. et al. Repere esențiale în patologia hepato-biliară cu elemente de nutriție.Compendiu.USMF. N.Testemițanu-Chișinău- Garomont. 2022 360 p. ISBN 978-9975-162-17-3.
STOFFEL, N.U. et al. The effect of central obesity on inflammation, hepcidin, and iron metabolism in young women. In: Int J Obes (Lond). 2020, vol. 44(6), pp. 1291-1300. https://doi.org/10.1038/s41366-020-0522-x
RAMÍREZ-MANENT, J.I. et al. Waist Circumference Is an Essential Factor in Predicting Insulin Resistance and Early Detection of Metabolic Syndrome in Adults. In: Nutrients. 2023, vol. 15(2), p. 257. https://doi.org/10.3390/nu15020257
THONG, V.D. et al. Correlation of Serum Transaminase Levels with Liver Fibrosis Assessed by Transient Elastography in Vietnamese Patients with Nonalcoholic Fatty Liver Disease. In: Int J Gen Med. 2021, vol. 14, pp. 1349-1355. https://doi.org/10.2147/IJGM.S309311
GUO, Z. et al. Hepatic Steatosis: CT-Based Prevalence in Adults in China and the United States and Associations With Age, Sex, and Body Mass Index. AJR Am J Roentgenol. 2022, vol. 218(5), pp. 846-857. https://doi.org/10.2214/AJR.21.26728
TUTINO, V. et al. Aerobic Physical Activity and a Low Glycemic Diet Reduce the AA/EPA Ratio in Red Blood Cell Membranes of Patients with NAFLD. In: Nutrients. 2018, vol. 10(9), p. 1299. https://doi.org/10.3390/nu10091299
SAL, E. et al. Relationship between obesity and iron deficiency anemia: is there a role of hepcidin? In: Hematology. 2018, vol. 23(8), pp. 542-548. https://doi.org/10.1080/10245332.2018.1423671
O'BRIEN, CJO. et al. A Tale of Three Systems: Toward a Neuroimmunoendocrine Model of Obesity. In: Annu Rev Cell Dev Biol. 2021, vol. 37, pp. 549-573. https://doi.org/10.1146/annurev-cellbio-120319-114106
GHELIMICI, T. et al. Dereglări morfofuncționale ale eritrocitelor la pacienții obezi cu Covid-19. Conferința științifică internațională, ediția a IX-a "Femeile în cercetare: destine, contribuții, perspective", 8-9 februarie 2024. pp169-170
MUSINA, N. et al. Specifics of inflammation parameters, ferrokinetics and structure of anemic syndrome in patients with diabetes mellitus t Rus. In: J-l оf Preventive Medicine, 2020, vol. 23(62), pp. 7280 https://doi.org/10.17116/profmed20202306272
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
