Diabetes & Metabolism Journal

2024

Original Articles

Technology/Device
Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study: You-Bin Lee, Minjee Kim, Jae Hyeon Kim; Diabetes Metab J. 2023;47(3):405-414. Published online March 6, 2023; DOI: https://doi.org/10.4093/dmj.2022.0032

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Background
We explored the association between continuous glucose monitoring (CGM) use and glycemia among adults with type 1 diabetes mellitus (T1DM) and determined the status of CGM metrics among adults with T1DM using CGM in the real-world.
Methods
For this propensity-matched cross-sectional study, individuals with T1DM who visited the outpatient clinic of the Endocrinology Department of Samsung Medical Center between March 2018 and February 2020 were screened. Among them, 111 CGM users (for ≥9 months) were matched based on propensity score considering age, sex, and diabetes duration in a 1:2 ratio with 203 CGM never-users. The association between CGM use and glycemic measures was explored. In a subpopulation of CGM users who had been using official applications (not “do-it-yourself” software) such that Ambulatory Glucose Profile data for ≥1 month were available (n=87), standardized CGM metrics were summarized.
Results
Linear regression analyses identified CGM use as a determining factor for log-transformed glycosylated hemoglobin. The fully-adjusted odds ratio (OR) and 95% confidence interval (CI) for uncontrolled glycosylated hemoglobin (>8%) were 0.365 (95% CI, 0.190 to 0.703) in CGM users compared to never-users. The fully-adjusted OR for controlled glycosylated hemoglobin (<7%) was 1.861 (95% CI, 1.119 to 3.096) in CGM users compared to never-users. Among individuals who had been using official applications for CGM, time in range (TIR) values within recent 30- and 90-day periods were 62.45%±16.63% and 63.08%±15.32%, respectively.
Conclusion
CGM use was associated with glycemic control status among Korean adults with T1DM in the real-world, although CGM metrics including TIR might require further improvement among CGM users.

Citations

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Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
Diabetes Technology & Therapeutics.2024; 26(6): 394. CrossRef
Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
Diabetes Technology & Therapeutics.2024; 26(4): 222. CrossRef
Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global Perspective
Rebecca Baqiyyah Conway, Janet Snell-Bergeon, Kyoko Honda-Kohmo, Anil Kumar Peddi, Salbiah Binti Isa, Shakira Sulong, Laurien Sibomana, Andrea Gerard Gonzalez, Jooyoun Song, Kate Elizabeth Lomax, Ching-Nien Lo, Wondong Kim, Aveni Haynes, Martin de Bock, M
Journal of the Endocrine Society.2024;[Epub] CrossRef
Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
Jun Sung Moon
Diabetes & Metabolism Journal.2023; 47(3): 345. CrossRef
Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
Jee Hee Yoo, Jae Hyeon Kim
The Journal of Korean Diabetes.2023; 24(4): 190. CrossRef

Metabolic Risk/Epidemiology
Metabolic Dysfunction-Associated Fatty Liver Disease and Mortality: A Population-Based Cohort Study: Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park; Diabetes Metab J. 2023;47(2):220-231. Published online January 12, 2023; DOI: https://doi.org/10.4093/dmj.2021.0327

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Background
We investigated whether metabolic dysfunction-associated fatty liver disease (MAFLD) is associated with an elevated risk of all-cause and cardiovascular mortality using a large-scale health examination cohort.
Methods
A total of 394,835 subjects in the Kangbuk Samsung Health Study cohort were enrolled from 2002 to 2012. Participants were categorized by the presence of nonalcoholic fatty liver disease (NAFLD) and MAFLD as follows: normal subjects; patients with both NAFLD and MAFLD; patients with NAFLD only; and patients with MAFLD only. Cox proportional hazards models were used to analyze the risk of mortality.
Results
During a median 5.7 years of follow-up, 20.69% was patients with both NAFLD and MAFLD, 1.51% was patients with NAFLD only, and 4.29% was patients with MAFLD only. All-cause and cardiovascular death was higher in patients with MAFLD than those without MAFLD (P<0.001, respectively). In patients with MAFLD only, the hazard ratio (HR) of all-cause and cardiovascular death was 1.35 (95% confidence interval [CI], 1.13 to 1.60) and 1.90 (95% CI, 1.26 to 2.88) after adjusting for age, which lost its statistical significance by multivariable adjustments. Compared to patients with less than two components of metabolic dysfunction, patients with more than two components of metabolic dysfunction were a higher risk of cardiovascular death (HR, 2.05; 95% CI, 1.25 to 3.38) and only women with more than two components of metabolic dysfunction were a higher risk of all-cause death (HR, 1.44; 95% CI, 1.02 to 2.03).
Conclusion
MAFLD criteria could identify a high-risk group for all-cause and cardiovascular death.

Citations

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Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
Metabolism.2024; 152: 155789. CrossRef
Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
BMJ.2024; : e076388. CrossRef
Sex differences in mortality and liver‐related events in non‐alcoholic fatty liver disease: A systematic review and meta‐analysis
Huimin Zhou, Haiyan Chen, Hanxiao Lu, Bo Wu, Shuo Zhang, Yuanlong Gu, Guangwen Zhou, Jie Xiang, Jun Yang
Liver International.2024; 44(7): 1600. CrossRef
Association between dietary carbohydrate to fiber ratio and metabolic dysfunction associated fatty liver disease in adults: evidence from the NHANES 2017–2020
Zhenmin Liu, Taiyong Fang
Journal of Health, Population and Nutrition.2024;[Epub] CrossRef
NAFLD and MAFLD independently increase the risk of major adverse cardiovascular events (MACE): a 20-year longitudinal follow-up study from regional Australia
Karl Vaz, William Kemp, Ammar Majeed, John Lubel, Dianna J. Magliano, Kristen M. Glenister, Lisa Bourke, David Simmons, Stuart K. Roberts
Hepatology International.2024; 18(4): 1135. CrossRef
Clinical outcomes of MAFLD versus NAFLD: A meta‐analysis of observational studies
Grazia Pennisi, Giuseppe Infantino, Ciro Celsa, Gabriele Di Maria, Marco Enea, Marco Vaccaro, Roberto Cannella, Carlo Ciccioli, Claudia La Mantia, Alessandro Mantovani, Francesco Mercurio, Herbert Tilg, Giovanni Targher, Vito Di Marco, Calogero Cammà, Sal
Liver International.2024; 44(11): 2939. CrossRef
Racial and ethnic disparities in metabolic dysfunction-associated steatotic liver disease outcomes: A call for culturally sensitive interventions: Editorial on “Differences in liver and mortality outcomes of non-alcoholic fatty liver disease by race and e
Jae Hyun Bae
Clinical and Molecular Hepatology.2024; 30(4): 665. CrossRef
Metabolic Dysfunction-Associated Steatotic Liver Disease in Type 2 Diabetes Mellitus: A Review and Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
Jaehyun Bae, Eugene Han, Hye Won Lee, Cheol-Young Park, Choon Hee Chung, Dae Ho Lee, Eun-Hee Cho, Eun-Jung Rhee, Ji Hee Yu, Ji Hyun Park, Ji-Cheol Bae, Jung Hwan Park, Kyung Mook Choi, Kyung-Soo Kim, Mi Hae Seo, Minyoung Lee, Nan-Hee Kim, So Hun Kim, Won-
Diabetes & Metabolism Journal.2024; 48(6): 1015. CrossRef
MAFLD but not MASLD increases risk of all-cause mortality in regional Australia, with components of metabolic syndrome exacerbating factors: 20 year longitudinal, cohort study
Karl Vaz, William Kemp, Ammar Majeed, John Lubel, Dianna J. Magliano, Kristen M. Glenister, Lisa Bourke, David Simmons, Stuart K. Roberts
Hepatology International.2024;[Epub] CrossRef
Cumulative Burden of Fatty Liver and Kidney Cancer in Young Men: A National Population-Based Study
Hee Yeon Lee, Kyung Do Han, Hyuk-Sang Kwon
Journal of Clinical Medicine.2024; 14(1): 148. CrossRef
Comparison of Outcomes Between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-alcoholic Fatty Liver Disease: A Meta-Analysis
Ghazala S Virk, Jaahnavi Vajje, Nausheen K Virk, Raam Mannam, Wajeeh Rehman, Naglaa G Ghobriel , Irfan-ud-din Mian, Muhammad Usama
Cureus.2023;[Epub] CrossRef
Trends in prevalence and all-cause mortality of metabolic dysfunction-associated fatty liver disease among adults in the past three decades: Results from the NHANES study
Zhi-Qin Xie, Hong-Xia Li, Bing-Kun Wang, Zhao-Ming Yang, Zi-Yu Zhang, Wen-Liang Tan, Wen-Xin Li, Qing-Bin Wang, Lei Yang, Hong-Kai Zhuang, Chen-Wei Tang, Chang-Zhen Shang, Ya-Jin Chen
European Journal of Internal Medicine.2023; 110: 62. CrossRef
Comparing the Mortality Risk between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-Alcoholic Fatty Liver Disease
Han Na Jung, Chang Hee Jung
Diabetes & Metabolism Journal.2023; 47(2): 198. CrossRef
Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
Metabolism.2023; 145: 155612. CrossRef
Current understanding and future perspectives on the impact of changing NAFLD to MAFLD on global epidemiology and clinical outcomes
Karl Vaz, Daniel Clayton-Chubb, Ammar Majeed, John Lubel, David Simmons, William Kemp, Stuart K. Roberts
Hepatology International.2023; 17(5): 1082. CrossRef
Mitochondrial Quality Control: Its Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
Soyeon Shin, Jaeyoung Kim, Ju Yeon Lee, Jun Kim, Chang-Myung Oh
Journal of Obesity & Metabolic Syndrome.2023; 32(4): 289. CrossRef

Drug/Regimen
Effect of Lactobacillus plantarum LMT1-48 on Body Fat in Overweight Subjects: A Randomized, Double-Blind, Placebo-Controlled Trial: Minji Sohn, Hyeyoung Jung, Woo Shun Lee, Tai Hoon Kim, Soo Lim; Diabetes Metab J. 2023;47(1):92-103. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0370

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Background
We investigated whether Lactobacillus plantarum strain LMT1-48, isolated from Korean fermented foods and newborn feces, is a suitable probiotic supplement to treat overweight subjects.
Methods
In this randomized, double-blind, placebo-controlled clinical trial, 100 volunteers with a body mass index of 25 to 30 kg/m² were assigned randomly (1:1) to receive 2×10¹⁰ colony forming units of LMT1-48 or to a placebo treatment group. Body composition was measured by dual-energy X-ray absorptiometry, and abdominal visceral fat area (VFA) and subcutaneous fat area were measured by computed tomography scanning. Changes in body fat, VFA, anthropometric parameters, and biomarkers were compared between the two treatment groups (ClinicalTrials.gov number: NCT03759743).
Results
After 12 weeks of treatment, the body weight decreased significantly from 76.6±9.4 to 75.7±9.2 kg in the LMT1-48 group but did not change in the placebo group (P=0.022 between groups). A similar pattern was found in abdominal VFA between the two groups (P=0.041). Serum insulin levels, the corresponding homeostasis model assessment of insulin resistance, and leptin levels decreased in the LMT1-48 group but increased in the placebo group (all P<0.05). Decrease in body weight and body mass index by treatment with LMT1-48 was correlated with increase in Lactobacillus levels significantly. LMT1-48 also increased Oscillibacter levels significantly, which were negatively correlated with triglyceride and alanine transaminase levels.
Conclusion
Administration of LMT1-48 decreased body weight, abdominal VFA, insulin resistance, and leptin levels in these subjects with overweight, suggesting its anti-obesogenic therapeutic potential.

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Advancements in Lactiplantibacillus plantarum : probiotic characteristics, gene editing technologies and applications
Zhiqi Zhang, Haorui Niu, Qiu Qu, Dingming Guo, Xuchun Wan, Qianqian Yang, Zihao Mo, Siyu Tan, Qian Xiang, Xue Tian, Hongju Yang, Zhi Liu
Critical Reviews in Food Science and Nutrition.2025; : 1. CrossRef
Beneficial effects of the probiotics and synbiotics supplementation on anthropometric indices and body composition in adults: A systematic review and meta‐analysis
Saeede Saadati, Kaveh Naseri, Omid Asbaghi, Mohsen Yousefi, Elnaz Golalipour, Barbora de Courten
Obesity Reviews.2024;[Epub] CrossRef
The Effect of Lactobacillus plantarum on the Fecal Microbiota, Short Chain Fatty Acids, Odorous Substances, and Blood Biochemical Indices of Cats
Bing Han, Shukun Liang, Jintao Sun, Hui Tao, Zhenlong Wang, Baosheng Liu, Xiumin Wang, Jie Liu, Jinquan Wang
Microorganisms.2024; 12(1): 91. CrossRef
Natto alleviates hyperlipidemia in high-fat diet-fed mice by modulating the composition and metabolic function of gut microbiota
Le-Yuan Shang, Shuo Zhang, Min Zhang, Xiao-Dong Sun, Qi Wang, Yu-Jie Liu, Yan-Ni Zhao, Mei Zhao, Peng-Jiao Wang, Xiu-Li Gao
Journal of Functional Foods.2024; 112: 105968. CrossRef
Microbial-Based Bioactive Compounds to Alleviate Inflammation in Obesity
Oladayo Emmanuel Apalowo, Grace Adeola Adegoye, Tolulope Mobolaji Obuotor
Current Issues in Molecular Biology.2024; 46(3): 1810. CrossRef
Anti-obesogenic effects of plant natural products: A focus on Korean traditional foods
Gitishree Das, Luis Alfonso Jiménez Ortega, Sandra Gonçalves, J. Basilio Heredia, Maria de Lourdes Gomes Pereira, Anabela Romano, Han-Seung Shin, Jayanta Kumar Patra
Trends in Food Science & Technology.2024; : 104470. CrossRef
A 12-Week, Single-Centre, Randomised, Double-Blind, Placebo-Controlled, Parallel-Design Clinical Trial for the Evaluation of the Efficacy and Safety of Lactiplantibacillus plantarum SKO-001 in Reducing Body Fat
Seon Mi Shin, Jeong-Su Park, Sang Back Kim, Young Hee Cho, Hee Seo, Hak Sung Lee
Nutrients.2024; 16(8): 1137. CrossRef
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Hwayeon Sun, Jinyoung Shin, Min-ji Kim, Sunghwan Bae, Nicole Dain Lee, Byungwook Yoo
Journal of Clinical Medicine.2024; 13(9): 2559. CrossRef
The Role of Lactobacillus plantarum in Reducing Obesity and Inflammation: A Meta-Analysis
Chen-Pi Li, Chin-Chang Chen, Yao Hsiao, Chieh-Hsin Kao, Chin-Chu Chen, Hao-Jan Yang, Ru-Yin Tsai
International Journal of Molecular Sciences.2024; 25(14): 7608. CrossRef
Complete genome sequence and anti-obesity potential of Lactiplantibacillus plantarum HOM2217 in 3T3-L1 cells and high-fat diet-fed rats
Tingting Wang, Xiao Zhang, Linlin Fan, Ying Zhao, Zhengwen Zhang, Zhonghua Cao, Ying Xu, Suwon Lee, Chongyoon Lim, Shiqi Zhang
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Pablo Rosas-Val, Masoud Adhami, Ana Brotons-Canto, Carlos Gamazo, Juan M. Irache, Eneko Larrañeta
International Journal of Pharmaceutics.2023; 641: 123058. CrossRef
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Ruixin Kou, Jin Wang, Ang Li, Yuanyifei Wang, Bowei Zhang, Jingmin Liu, Yi Sun, Shuo Wang
Nutrients.2023; 15(19): 4104. CrossRef
Effect of Continuous Ingestion of Bifidobacteria and Inulin on Reducing Body Fat: A Randomized, Double-Blind, Placebo-Controlled, Parallel-Group Comparison Study
Yuhei Baba, Yasuo Saito, Mei Kadowaki, Naoki Azuma, Daisuke Tsuge
Nutrients.2023; 15(24): 5025. CrossRef
A Review of the Potential of Probiotic Bacteria in Managing the Body Weight of Obese Individuals
A Didban, L Manafi, R Mahmoudi
Journal of Health and Hygiene.2023; 14(4): 388. CrossRef
Plant-Derived Lactobacillus paracasei IJH-SONE68 Improves the Gut Microbiota Associated with Hepatic Disorders: A Randomized, Double-Blind, and Placebo-Controlled Clinical Trial
Narandalai Danshiitsoodol, Masafumi Noda, Keishi Kanno, Tomoyuki Uchida, Masanori Sugiyama
Nutrients.2022; 14(21): 4492. CrossRef

Cardiovascular Risk/Epidemiology
Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus: Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong, on Behalf of the Committee of Practice Guideline of Korean Lipid and Atheroscelerosis; Diabetes Metab J. 2023;47(1):45-58. Published online January 26, 2023; DOI: https://doi.org/10.4093/dmj.2021.0344

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Background
There are no clear data to support the cardiovascular (CV) risk categories and low-density lipoprotein cholesterol (LDL-C) treatment goals in Korean people with type 2 diabetes mellitus (T2DM). We evaluated the incidence of cardiovascular disease (CVD) according to comorbidities and suggested LDL-C treatment goals in Korean people with T2DM in nationwide cohort data.
Methods
Using the Korean National Health Insurance Service database, 248,002 people aged 30 to 90 years with T2DM who underwent routine health check-ups during 2009 were included. Subjects with previous CVD were excluded from the study. The primary outcome was incident CVD, defined as a composite of myocardial infarction and ischemic stroke during the follow-up period from 2009 to 2018.
Results
The mean age of the study participants was 59.6±10.9 years, and median follow-up period was 9.3 years. CVD incidence increased in the order of DM duration of 5 years or more (12.04/1,000 person-years), hypertension (HT) (12.27/1,000 personyears), three or more CV risk factors (14.10/1,000 person-years), and chronic kidney disease (18.28/1,000 person-years). The risk of incident CVD increased linearly from an LDL-C level of ≥70 mg/dL in most patients with T2DM. In T2DM patients without HT or with a DM duration of less than 5 years, the CVD incidence increased from LDL-C level of ≥100 mg/dL.
Conclusion
For primary prevention of CVD in Korean adults with T2DM, it can be helpful to lower LDL-C targets when there are chronic kidney disease, HT, a long duration of diabetes mellitus, or three or more CV risk factors.

Citations

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2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
Diabetes & Metabolism Journal.2023; 47(1): 1. CrossRef
Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
Ji Yoon Kim, Nam Hoon Kim
Diabetes & Metabolism Journal.2023; 47(1): 42. CrossRef
Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
Journal of Lipid and Atherosclerosis.2023; 12(1): 12. CrossRef
2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
Ye Seul Yang
The Journal of Korean Diabetes.2023; 24(3): 135. CrossRef
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
Diabetes & Metabolism Journal.2023; 47(5): 575. CrossRef
Management of Dyslipidemia in Patients with Diabetes Mellitus
Kyung Ae Lee
The Journal of Korean Diabetes.2023; 24(3): 111. CrossRef
Significant Gap Between Guidelines and Practice in the Management of LDL Cholesterol: Insight From the Survey of the Korean Society of Myocardial Infarction
Sang Yeub Lee, Kyung Hoon Cho, Jang Hoon Lee, Young Joon Hong, Jin yong Hwang, Myung Ho Jeong, Weon Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef

Metabolic Risk/Epidemiology
Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography: Hwi Seung Kim, Jiwoo Lee, Eun Hee Kim, Min Jung Lee, In Young Bae, Woo Je Lee, Joong-Yeol Park, Hong-Kyu Kim, Chang Hee Jung; Diabetes Metab J. 2023;47(1):104-117. Published online January 26, 2023; DOI: https://doi.org/10.4093/dmj.2022.0081

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Background
The association of myosteatosis measured using visual muscular quality map in computed tomography (CT) with nonalcoholic fatty liver disease (NAFLD), its severity, and fibrosis was analyzed in a large population.
Methods
Subjects (n=13,452) with abdominal CT between 2012 and 2013 were measured total abdominal muscle area (TAMA) at L3 level. TAMA was segmented into intramuscular adipose tissue and skeletal muscle area (SMA), which was further classified into normal attenuation muscle area (NAMA) and low attenuation muscle area (LAMA). The following variables were adopted as indicators of myosteatosis: SMA/body mass index (BMI), NAMA/BMI, NAMA/TAMA, and LAMA/BMI. NAFLD and its severity were assessed by ultrasonography, and liver fibrosis was measured by calculating the NAFLD fibrosis score (NFS) and fibrosis-4 index (FIB-4) scores.
Results
According to multiple logistic regression analyses, as quartiles of SMA/BMI, NAMA/BMI, and NAMA/TAMA increased, the odds ratios (ORs) for NAFLD decreased in each sex (P for trend <0.001 for all). The ORs of moderate/severe NAFLD were significantly higher in the Q1 group than in the Q4 group for SMA/BMI, NAMA/BMI, and NAMA/TAMA in men. The ORs of intermediate/high liver fibrosis scores assessed by NFS and FIB-4 scores increased linearly with decreasing quartiles for SMA/BMI, NAMA/BMI, and NAMA/TAMA in each sex (P for trend <0.001 for all). Conversely, the risk for NAFLD and fibrosis were positively associated with LAMA/BMI quartiles in each sex (P for trend <0.001 for all).
Conclusion
A higher proportion of good quality muscle was associated with lower risks of NAFLD and fibrosis.

Citations

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Association between atherogenic dyslipidemia and muscle quality defined by myosteatosis
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Myosteatosis Predicts Bariatric Surgery Response: A Longitudinal Study in Patients With Morbid Obesity
Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
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Journal of Translational Medicine.2024;[Epub] CrossRef
Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography (Diabetes Metab J 2023;47:104-17)
Hwi Seung Kim, Hong-Kyu Kim, Chang Hee Jung
Diabetes & Metabolism Journal.2023; 47(2): 304. CrossRef
Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography (Diabetes Metab J 2023;47:104-17)
Eun Roh
Diabetes & Metabolism Journal.2023; 47(2): 301. CrossRef
Sarcopenia, a condition shared by various diseases: can we alleviate or delay the progression?
Giovanni Tarantino, Gaia Sinatti, Vincenzo Citro, Silvano Santini, Clara Balsano
Internal and Emergency Medicine.2023; 18(7): 1887. CrossRef
Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
Clinical and Molecular Hepatology.2023; 29(4): 987. CrossRef
Current view of the surgical anatomy of the anterolateral abdominal wall muscles and their aponeuroses
A.V. Pavlov, A.S. Baranova, A.V. Fedoseyev, A.I. Vvedensky, G.S. Lazutina, N.V. Ovchinnikova, I.V. Bakharev
Operativnaya khirurgiya i klinicheskaya anatomiya (Pirogovskii nauchnyi zhurnal).2023; 7(3): 44. CrossRef
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W. Guo, X. Zhao, D. Cheng, X. Liang, M. Miao, X. Li, J. Lu, N. Xu, Shuang Hu, Qun Zhang
The Journal of nutrition, health and aging.2023; 27(11): 960. CrossRef

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