Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
146 "Insulin"
Filter
Filter
Article type
Keywords
Publication year
Authors
Funded articles
Original Article
Time to Insulin Therapy and Severe Hypoglycemia in Korean Adults Initially Diagnosed with Type 2 Diabetes: A Nationwide Study
You-Bin Lee, Kyungdo Han, Bongsung Kim, So Hee Park, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim, Sang-Man Jin
Received July 4, 2024  Accepted November 19, 2024  Published online February 4, 2025  
DOI: https://doi.org/10.3803/EnM.2024.2082    [Epub ahead of print]
  • 101 View
  • 3 Download
AbstractAbstract PDF
Background
We examined the distribution of time to insulin therapy (TIT) post-diabetes diagnosis and the hazard of severe hypoglycemia (SH) according to TIT in Korean adults initially diagnosed with type 2 diabetes (T2D) and who progressed to insulin therapy.
Methods
Using data from the Korean National Health Insurance Service (2002 to 2018), we selected adult incident insulin users (initially diagnosed as T2D) who underwent health examinations between 2009 and 2012. The hazards of SH, recurrent SH, and problematic hypoglycemia were analyzed according to groups categorized using the TIT and clinical risk factors for SH (TIT ≥5 years with risk factors, TIT ≥5 years without risk factors, 3 ≤TIT <5 years, 1 ≤TIT <3 years, and TIT <1 year).
Results
Among 41,637 individuals, 14,840 (35.64%) and 10,587 (25.43%) initiated insulin therapy within <5 and <3 years postdiabetes diagnosis, respectively. During a median 6.53 years, 3,406 SH events occurred. Compared to individuals with TIT ≥5 years and no risk factor for SH, individuals with TIT <3 years had higher outcome hazards in a graded manner (adjusted hazard ratio [95% confidence intervals] for any SH: 1.117 [0.967 to 1.290] in those with 3 ≤TIT <5 years; 1.459 [1.284 to 1.657] in those with 1 ≤ TIT <3 years; and 1.515 [1.309 to 1.754] in those with TIT <1 year). This relationship was more pronounced in the non-obese subpopulation.
Conclusion
Among adults who progressed to insulin therapy after being diagnosed with T2D, a shorter TIT was not uncommon and may predict an increased risk of SH, particularly in non-obese patients.
Close layer
Review Article
Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia
Joonyub Lee, Kun-Ho Yoon
Received October 7, 2024  Accepted October 29, 2024  Published online January 15, 2025  
DOI: https://doi.org/10.3803/EnM.2024.2193    [Epub ahead of print]
  • 261 View
  • 22 Download
AbstractAbstract PDFPubReader   ePub   
In East Asians, type 2 diabetes mellitus (T2DM) is primarily characterized by significant defects in insulin secretion and comparatively low insulin resistance. Recently, the prevalence of T2DM has rapidly increased in East Asian countries, including Korea, occurring concurrently with rising obesity rates. This trend has led to an increase in the average body mass index among East Asian T2DM patients, highlighting the influence of insulin resistance in the development of T2DM within this group. Currently, the incidence of T2DM in Korea is declining, which may indicate potential adaptive changes in insulin secretory capacity. This review focuses on the changing epidemiology of T2DM in East Asia, with a particular emphasis on the characteristics of peak functional β-cell mass.
Close layer
Original Articles
Metabolic Phenotypes of Women with Gestational Diabetes Mellitus Affect the Risk of Adverse Pregnancy Outcomes
Joon Ho Moon, Sookyung Won, Hojeong Won, Heejun Son, Tae Jung Oh, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
Received July 10, 2024  Accepted September 23, 2024  Published online November 28, 2024  
DOI: https://doi.org/10.3803/EnM.2024.2089    [Epub ahead of print]
  • 533 View
  • 25 Download
AbstractAbstract PDFPubReader   ePub   
Background
Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes.
Methods
Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section.
Results
A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes.
Conclusion
Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.
Close layer
Thyroid
Prevalence of Subclinical Hypothyroidism in a Non-Diabetic Young Female Population and Its Impact on Diabetes and Cardiometabolic Risk
Nawoda Hewage, Udaya Wijesekara, Rasika Perera
Endocrinol Metab. 2024;39(6):864-876.   Published online November 5, 2024
DOI: https://doi.org/10.3803/EnM.2024.2015
  • 738 View
  • 49 Download
AbstractAbstract PDFPubReader   ePub   
Background
We evaluated the influence of subclinical hypothyroidism (SCH) on insulin resistance (IR), cardiometabolic risk, and obesity in childbearing-age women without diabetes.
Methods
This cross-sectional investigation included 282 women, aged 18 to 35 years, from rural and suburban Sri Lanka. Anthropometric and biochemical parameters, including IR and lipid/thyroid profiles, were recorded. Data were compared between SCH and euthyroidism (EU) for controls (normal weight) and cases (overweight/obese).
Results
The overall rates of SCH, EU, IR, and metabolic syndrome (MetS) were 40.42%, 59.57%, 73.40%, and 24.46%, respectively. Both controls and cases included individuals with SCH; overall, 168 participants (59.57%) had EU, while 114 (40.42%) exhibited SCH. IR was significantly associated with SCH in both weight groups (P<0.05). Among those with SCH, the odds ratios (ORs) for IR were >2 (95% confidence interval [CI], 0.45 to 3.87) in controls and >6 (95% CI, 3.52 to 8.41) in cases. Similarly, the ORs for MetS were >1 (95% CI, 0.38 to 4.16) in controls and >11 (95% CI, 8.73 to 15.01) in cases. Dyslipidemia and hypertriglyceridemia were significantly more prevalent in the SCH group (P<0.05). Women with SCH exhibited higher mean values for all obesity indices compared to their EU counterparts, surpassing normal thresholds (P<0.05). Among obesity measures, visceral adiposity index (VAI) demonstrated the highest area under the curve and sensitivity for assessing SCH and cardiovascular disease (CVD) risk.
Conclusion
SCH must be identified and managed in young women to help prevent diabetes and cardiometabolic disorders. VAI may aid in precisely detecting SCH and CVD.
Close layer
Diabetes, obesity and metabolism
Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts
Hyemin Jo, Soyeon Ahn, Jung Hun Ohn, Cheol Min Shin, Eunjeong Ji, Donggil Kim, Sung Jae Jung, Joongyub Lee
Endocrinol Metab. 2024;39(5):711-721.   Published online August 30, 2024
DOI: https://doi.org/10.3803/EnM.2024.1986
  • 1,134 View
  • 57 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate whether insulin resistance and impaired insulin secretion are useful predictors of incident diabetes in Koreans using nationwide population-representative data to enhance data privacy.
Methods
This study analyzed the data of individuals without diabetes aged >40 years from the Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2010 and 2015 and the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). Owing to privacy concerns, these databases cannot be linked using direct identifiers. Therefore, we generated 10 synthetic datasets, followed by statistical matching with the NHIS-HEALS. Homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment of β-cell function (HOMA-β) were used as indicators of insulin resistance and insulin secretory function, respectively, and diabetes onset was captured in NHIS-HEALS.
Results
A median of 4,580 (range, 4,463 to 4,761) adults were included in the analyses after statistical matching of 10 synthetic KNHANES and NHIS-HEALS datasets. During a mean follow-up duration of 5.8 years, a median of 4.7% (range, 4.3% to 5.0%) of the participants developed diabetes. Compared to the reference low–HOMA-IR/high–HOMA-β group, the high–HOMA-IR/low– HOMA-β group had the highest risk of diabetes, followed by high–HOMA-IR/high–HOMA-β group and low–HOMA-IR/low– HOMA-β group (median adjusted hazard ratio [ranges]: 3.36 [1.86 to 6.05], 1.81 [1.01 to 3.22], and 1.68 [0.93 to 3.04], respectively).
Conclusion
Insulin resistance and impaired insulin secretion are robust predictors of diabetes in the Korean population. A retrospective cohort constructed by combining cross-sectional synthetic and longitudinal claims-based cohort data through statistical matching may be a reliable resource for studying the natural history of diabetes.

Citations

Citations to this article as recorded by  
  • Combining Nationwide Cohorts to Unveil the Predictive Role of Insulin Resistance and Impaired Insulin Secretion in Diabetes
    Bukyung Kim
    Endocrinology and Metabolism.2024; 39(5): 699.     CrossRef
Close layer
Diabetes, obesity and metabolism
Amelioration of Insulin Resistance after Delivery Is Associated with Reduced Risk of Postpartum Diabetes in Women with Gestational Diabetes Mellitus
Heejun Son, Joon Ho Moon, Sung Hee Choi, Nam H. Cho, Soo Heon Kwak, Hak Chul Jang
Endocrinol Metab. 2024;39(5):701-710.   Published online August 21, 2024
DOI: https://doi.org/10.3803/EnM.2024.1974
  • 1,327 View
  • 50 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Identifying risk factors for postpartum type 2 diabetes in women with gestational diabetes mellitus (GDM) is crucial for effective interventions. We examined whether changes in insulin sensitivity after delivery affects the risk of type 2 diabetes in women with GDM.
Methods
This prospective cohort study included 347 women with GDM or gestational impaired glucose tolerance, who attended the follow-up visits at 2 months postpartum and annually thereafter. Changes in insulin sensitivity were calculated using the Matsuda index at GDM diagnosis and at 2 months postpartum (ΔMatsuda index). After excluding women with pregestational diabetes or those followed up only once, we analyzed the risk of postpartum type 2 diabetes based on the ΔMatsuda index tertiles.
Results
The incidence of type 2 diabetes at the two-month postpartum visit decreased with increasing ΔMatsuda index tertiles (16.4%, 9.5%, and 1.8%, P=0.001). During a 4.1-year follow-up, 26 out of 230 women who attended more than two follow-up visits (11.3%) developed type 2 diabetes. Compared to the lowest tertile, subjects in the highest ΔMatsuda index tertile showed a significantly reduced risk of type 2 diabetes (hazard ratio, 0.33; 95% confidence interval, 0.12 to 0.93; P=0.036) after adjusting for confounders.
Conclusion
Improvement in insulin sensitivity after delivery is associated with a reduced risk of postpartum type 2 diabetes in women with GDM. Postpartum changes in insulin sensitivity could be a useful prediction for future type 2 diabetes development in women with GDM.

Citations

Citations to this article as recorded by  
  • Evaluation of Maternal Factors Affecting Postpartum Insulin Resistance Markers in Mothers with Gestational Diabetes—A Case–Control Study
    Karolina Karcz, Paulina Gaweł, Barbara Królak-Olejnik
    Nutrients.2024; 16(22): 3871.     CrossRef
Close layer
Review Article
Diabetes, obesity and metabolism
Glucagon-Like Peptide-1 Based Therapies: A New Horizon in Obesity Management
Jang Won Son, Soo Lim
Endocrinol Metab. 2024;39(2):206-221.   Published online April 16, 2024
DOI: https://doi.org/10.3803/EnM.2024.1940
  • 10,823 View
  • 625 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   ePub   
Obesity is a significant risk factor for health issues like type 2 diabetes and cardiovascular disease. It often proves resistant to traditional lifestyle interventions, prompting a need for more precise therapeutic strategies. This has led to a focus on signaling pathways and neuroendocrine mechanisms to develop targeted obesity treatments. Recent developments in obesity management have been revolutionized by introducing novel glucagon-like peptide-1 (GLP-1) based drugs, such as semaglutide and tirzepatide. These drugs are part of an emerging class of nutrient-stimulated hormone-based therapeutics, acting as incretin mimetics to target G-protein–coupled receptors like GLP-1, glucose-dependent insulinotropic polypeptide (GIP), and glucagon. These receptors are vital in regulating body fat and energy balance. The development of multiagonists, including GLP-1–glucagon and GIP–GLP-1–glucagon receptor agonists, especially with the potential for glucagon receptor activation, marks a significant advancement in the field. This review covers the development and clinical efficacy of various GLP-1-based therapeutics, exploring the challenges and future directions in obesity management.

Citations

Citations to this article as recorded by  
  • Diabetes and Osteoarthritis: Exploring the Interactions and Therapeutic Implications of Insulin, Metformin, and GLP-1-Based Interventions
    Iryna Halabitska, Liliia Babinets, Valentyn Oksenych, Oleksandr Kamyshnyi
    Biomedicines.2024; 12(8): 1630.     CrossRef
  • Why you should not skip tailored exercise interventions when using incretin mimetics for weight loss
    Katharina Gross, Christian Brinkmann
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Beyond Glycemic Control: GLP-1 Receptor Agonists and Their Impact on Calcium Homeostasis in Real-World Patients
    Bandar T. Alenezi, Nadra Elfezzani, Rukhsana Uddin, Hinali Patel, Sydney Chester, Ahmed Abdelmaksoud, Mohammad H. Hussein, Sawsan A. Zaitone, Manal S. Fawzy, Hani Aiash, Eman A. Toraih
    Journal of Clinical Medicine.2024; 13(16): 4896.     CrossRef
  • Innovative approaches to the treatment of obesity: from pharmacotherapy to nanomedicine
    T. I. Romantsova
    Obesity and metabolism.2024; 21(4): 389.     CrossRef
Close layer
Original Article
Diabetes, obesity and metabolism
Docosahexanoic Acid Attenuates Palmitate-Induced Apoptosis by Autophagy Upregulation via GPR120/mTOR Axis in Insulin-Secreting Cells
Seok-Woo Hong, Jinmi Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2024;39(2):353-363.   Published online January 23, 2024
DOI: https://doi.org/10.3803/EnM.2023.1809
  • 2,859 View
  • 86 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Polyunsaturated fatty acids (PUFAs) reportedly have protective effects on pancreatic β-cells; however, the underlying mechanisms are unknown.
Methods
To investigate the cellular mechanism of PUFA-induced cell protection, mouse insulinoma 6 (MIN6) cells were cultured with palmitic acid (PA) and/or docosahexaenoic acid (DHA), and alterations in cellular signaling and apoptosis were examined.
Results
DHA treatment remarkably repressed caspase-3 cleavage and terminal deoxynucleotidyl transferase-mediated UTP nick end labeling (TUNEL)-positive red dot signals in PA-treated MIN6 cells, with upregulation of autophagy, an increase in microtubule- associated protein 1-light chain 3 (LC3)-II, autophagy-related 5 (Atg5), and decreased p62. Upstream factors involved in autophagy regulation (Beclin-1, unc51 like autophagy activating kinase 1 [ULK1], phosphorylated mammalian target of rapamycin [mTOR], and protein kinase B) were also altered by DHA treatment. DHA specifically induced phosphorylation on S2448 in mTOR; however, phosphorylation on S2481 decreased. The role of G protein-coupled receptor 120 (GPR120) in the effect of DHA was demonstrated using a GPR120 agonist and antagonist. Additional treatment with AH7614, a GPR120 antagonist, significantly attenuated DHA-induced autophagy and protection. Taken together, DHA-induced autophagy activation with protection against PA-induced apoptosis mediated by the GPR120/mTOR axis.
Conclusion
These findings indicate that DHA has therapeutic effects on PA-induced pancreatic β-cells, and that the cellular mechanism of β-cell protection by DHA may be a new research target with potential pharmacotherapeutic implications in β-cell protection.

Citations

Citations to this article as recorded by  
  • Maternal fish oil supplementation enhances nutrient transport in the placenta and milk biosynthesis in the mammary gland via the GPR120 signaling pathway
    Qihui Li, Qianzi Zhang, Senlin Su, Siwang Yang, Jiayuan Shao, Wutai Guan, Shihai Zhang
    Journal of Advanced Research.2024;[Epub]     CrossRef
Close layer
Review Articles
Adrenal gland
The Fascinating Interplay between Growth Hormone, Insulin-Like Growth Factor-1, and Insulin
Eline C. Nijenhuis-Noort, Kirsten A. Berk, Sebastian J. C. M. M. Neggers, Aart J. van der Lely
Endocrinol Metab. 2024;39(1):83-89.   Published online January 9, 2024
DOI: https://doi.org/10.3803/EnM.2024.101
  • 42,063 View
  • 713 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   ePub   
This review intends to provide the reader with a practical overview of several (patho)physiological conditions in which knowledge of the interplay between growth hormone (GH), insulin-like growth factor-1 (IGF-1), and insulin is important. This might help treating physicians in making the right decisions on how to intervene and improve metabolism for the benefit of patients, and to understand why and how metabolism responds in their specific cases. We will specifically address the interplay between GH, IGF-1, and insulin in type 1 and 2 diabetes mellitus, liver cirrhosis, and acromegaly as examples in which this knowledge is truly necessary.

Citations

Citations to this article as recorded by  
  • Insulin-Like Growth Factor Signaling in Alzheimer’s Disease: Pathophysiology and Therapeutic Strategies
    Jie Miao, Yanli Zhang, Chen Su, Qiandan Zheng, Junhong Guo
    Molecular Neurobiology.2025; 62(3): 3195.     CrossRef
  • Signaling pathways and targeted therapies in Ewing sarcoma
    Ke Jia, Li Cao, Yihan Yu, Doudou Jing, Wei Wu, Brian Andrew Van Tine, Zengwu Shao
    Pharmacology & Therapeutics.2025; 266: 108765.     CrossRef
  • IGF-1 and IGF-2 as Molecules Linked to Causes and Consequences of Obesity from Fetal Life to Adulthood: A Systematic Review
    Justyna Szydlowska-Gladysz, Adrianna Edyta Gorecka, Julia Stepien, Izabela Rysz, Iwona Ben-Skowronek
    International Journal of Molecular Sciences.2024; 25(7): 3966.     CrossRef
  • Insulin resistance reduction, intermittent fasting, and human growth hormone: secondary analysis of a randomized trial
    Benjamin D. Horne, Jeffrey L. Anderson, Heidi T. May, Tami L. Bair, Viet T. Le, Leslie Iverson, Kirk U. Knowlton, Joseph B. Muhlestein
    npj Metabolic Health and Disease.2024;[Epub]     CrossRef
  • GHRH in diabetes and metabolism
    Charlotte Steenblock, Stefan R. Bornstein
    Reviews in Endocrine and Metabolic Disorders.2024;[Epub]     CrossRef
  • Growth hormone/insulin-like growth factor I axis in health and disease states: an update on the role of intra-portal insulin
    Kevin C. J. Yuen, Rikke Hjortebjerg, Ashok Ainkaran Ganeshalingam, David R. Clemmons, Jan Frystyk
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Expanding the Clinical and Mutational Spectrum of Biallelic POC1A Variants: Characterization of Four Patients and a Comprehensive Review of POC1A‐Related Phenotypes
    Umut Altunoglu, Gozde Tutku Turgut, Esin Karakılıç Özturan, Tuğba Kalaycı, Mert Kaya, Güven Toksoy, Firdevs Baş, Hülya Kayserili, Feyza Darendeliler
    Clinical Genetics.2024;[Epub]     CrossRef
Close layer
Calcium & bone metabolism
Acromegaly and Bone: An Update
Andrea Giustina
Endocrinol Metab. 2023;38(6):655-666.   Published online December 22, 2023
DOI: https://doi.org/10.3803/EnM.2023.601
  • 4,599 View
  • 248 Download
  • 13 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   ePub   
Since our discovery in 2006 that acromegaly is associated with an increased risk of vertebral fractures, many authors have confirmed this finding in both cross-sectional and prospective studies. Due to the high epidemiological and clinical impact of this newly discovered comorbidity of acromegaly, this topic has progressively become more important and prominent over the years, and the pertinent literature has been enriched by new findings on the pathophysiology and treatment. The aim of this narrative review was to discuss these novel findings, integrating them with the seminal observations, in order to give the reader an updated view of how the field of acromegaly and bone is developing, from strong clinical observations to a mechanistic understanding and possible prevention and treatment.

Citations

Citations to this article as recorded by  
  • Vitamin D and hip protectors in osteosarcopenia: a combined hip fracture preventing approach
    Alessandro Giustina, Andrea Giustina
    Reviews in Endocrine and Metabolic Disorders.2025; 26(1): 1.     CrossRef
  • New insights into the vitamin D/PTH axis in endocrine-driven metabolic bone diseases
    Luigi di Filippo, John P. Bilezikian, Ernesto Canalis, Umberto Terenzi, Andrea Giustina
    Endocrine.2024; 85(3): 1007.     CrossRef
  • Bone health and skeletal fragility in second- and third-line medical therapies for acromegaly: preliminary results from a pilot single center experience
    Sabrina Chiloiro, Antonella Giampietro, Amato Infante, Pier Paolo Mattogno, Liverana Lauretti, Alessandro Olivi, Laura De Marinis, Alfredo Pontecorvi, Francesco Doglietto, Antonio Bianchi
    Pituitary.2024; 27(3): 303.     CrossRef
  • Standards of care for medical management of acromegaly in pituitary tumor centers of excellence (PTCOE)
    Andrea Giustina, M. M. Uygur, S. Frara, A. Barkan, N. R. Biermasz, P. Chanson, P. Freda, M. Gadelha, L. Haberbosch, U. B. Kaiser, S. Lamberts, E. Laws, L. B. Nachtigall, V. Popovic, M. Reincke, A. J. van der Lely, J. A. H. Wass, S. Melmed, F. F. Casanueva
    Pituitary.2024; 27(4): 381.     CrossRef
  • Vertebral fractures in patients with non-functioning pituitary adenomas - a new frontier?
    Nicholas A. Tritos
    Pituitary.2024; 27(4): 311.     CrossRef
  • Suspected silent pituitary somatotroph neuroendocrine tumor associated with acromegaly-like bone disorders: a case report
    Tongxin Xiao, Xinxin Mao, Ou Wang, Yong Yao, Kan Deng, Huijuan Zhu, Lian Duan
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • Skeletal fragility in pituitary disease: how can we predict fracture risk?
    Fabio Bioletto, Alessandro Maria Berton, Marco Barale, Luigi Simone Aversa, Lorenzo Sauro, Michela Presti, Francesca Mocellini, Noemi Sagone, Ezio Ghigo, Massimo Procopio, Silvia Grottoli
    Pituitary.2024; 27(6): 789.     CrossRef
  • Vitamin D in pituitary driven osteopathies
    Sabrina Chiloiro, Flavia Costanza, Elena Riccardi, Antonella Giampietro, Laura De Marinis, Antonio Bianchi, Alfredo Pontecorvi, Andrea Giustina
    Pituitary.2024; 27(6): 847.     CrossRef
  • GH receptor polymorphisms guide second-line therapies to prevent acromegaly skeletal fragility: preliminary results of a pilot study
    Sabrina Chiloiro, Flavia Costanza, Antonella Giampietro, Amato Infante, Pier Paolo Mattogno, Flavia Angelini, Consolato Gullì, Liverana Lauretti, Mario Rigante, Alessandro Olivi, Laura De Marinis, Francesco Doglietto, Antonio Bianchi, Alfredo Pontecorvi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Growth hormone and bone: a basic perspective
    Simona Bolamperti, Isabella Villa, Luigi di Filippo
    Pituitary.2024; 27(6): 745.     CrossRef
  • Approach to the patient with controlled acromegaly and acromegalic arthropathy: clinical diagnosis and management
    Iris C. M. Pelsma, Herman M. Kroon, Cornelie D. Andela, Enrike M. J. van der Linden, Margreet Kloppenburg, Nienke R. Biermasz, Kim M. J. A. Claessen
    Pituitary.2024; 27(6): 824.     CrossRef
  • Modern approach to bone comorbidity in prolactinoma
    Meliha Melin Uygur, Sara Menotti, Simona Santoro, Andrea Giustina
    Pituitary.2024; 27(6): 802.     CrossRef
  • Novel approach to bone comorbidity in resistant acromegaly
    Stefano Frara, Matteo Acanfora, Vincenzo Franzese, Maria Luisa Brandi, Marco Losa, Andrea Giustina
    Pituitary.2024; 27(6): 813.     CrossRef
Close layer
Brief Report
Diabetes, obesity and metabolism
Partial Deletion of Perk Improved High-Fat Diet-Induced Glucose Intolerance in Mice
Jooyeop Lee, Min Joo Kim, Seoil Moon, Ji Yoon Lim, Kyong Soo Park, Hye Seung Jung
Endocrinol Metab. 2023;38(6):782-787.   Published online November 13, 2023
DOI: https://doi.org/10.3803/EnM.2023.1738
  • 1,761 View
  • 64 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Although pancreatic endoplasmic reticulum kinase (PERK) is indispensable to beta cells, low-dose PERK inhibitor improved glucose- stimulated insulin secretion (GSIS) and hyperglycemia in diabetic mice. Current study examined if partial deletion of Perk (Perk+/-) recapitulated the effects of PERK inhibitor, on the contrary to the complete deletion. Perk+/- mice and wild-type controls were fed with a high-fat diet (HFD) for 23 weeks. Glucose tolerance was evaluated along with serum insulin levels and islet morphology. Perk+/- mice on normal chow were comparable to wild-type mice in various metabolic features. HFD-induced obesity was not influenced by Perk reduction; however, HFD-induced glucose intolerance was significantly improved since 15-week HFD. HFD-induced compromises in GSIS were relieved by Perk reduction, accompanied by reductions in phosphorylated PERK and activating transcription factor 4 (ATF4) in the islets. Meanwhile, HFD-induced islet expansion was not significantly affected. In summary, partial deletion of Perk improved glucose tolerance and GSIS impaired by diet-induced obesity, without changes in body weights or islet mass.
Close layer
Original Article
Diabetes, obesity and metabolism
Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study
Joon Ho Moon, Yongkang Kim, Tae Jung Oh, Jae Hoon Moon, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi, Nam H. Cho
Endocrinol Metab. 2023;38(4):406-417.   Published online August 3, 2023
DOI: https://doi.org/10.3803/EnM.2023.1703
  • 8,343 View
  • 260 Download
  • 11 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large communitybased cohort.
Methods
Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD.
Results
Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs.
Conclusion
The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort.

Citations

Citations to this article as recorded by  
  • Elevated triglyceride-glucose index as a predictor of carotid plaque incidence: Insights from a comprehensive meta-analysis
    Arankesh Mahadevan, Bhavin A. Patel, Sashwath Srikanth, Raja Godasi, Rupak Desai
    The American Journal of the Medical Sciences.2025; 369(2): 197.     CrossRef
  • Analysis of the correlation between the serum triglyceride glucose index and the risk of death in patients on maintenance hemodialysis: a retrospective cohort study
    Xiaokeng Chi, Shuxin Chen, Zhe Huang, Rong Zhou, Zhicheng Su, Qiujun Mai, Yilin Xu, Jianxin Wan
    PeerJ.2025; 13: e18781.     CrossRef
  • Assessing the predictive value of elevated triglycerides, triglyceride-glucose index (TyG), and TG/HDL ratios for cardiovascular disease and mortality during 20 years of follow-up: Tehran lipid and glucose study
    Shayesteh Khalili, Atieh Amouzegar, Seyed Sattar Dorost, Fereidoun Azizi, Aryan Salahi-Niri
    Clinical Biochemistry.2025; 136: 110891.     CrossRef
  • Association between triglyceride-glucose index and carotid atherosclerosis in Chinese steelworkers: a cross-sectional study
    Haoyue Cao, Qinglin Li, Juxiang Yuan
    Scientific Reports.2025;[Epub]     CrossRef
  • Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus
    Kaisheng Yuan, Bing Wu, Ruiqi Zeng, Fuqing Zhou, Ruixiang Hu, Cunchuan Wang
    Diabetes, Obesity and Metabolism.2024; 26(1): 169.     CrossRef
  • Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China
    Kaiyong Xiao, Huili Cao, Bin Yang, Zhe Xv, Lian Xiao, Jianping Wang, Shuiqing Ni, Hui Feng, Zhongwei He, Lei Xv, Juan Li, Dongmei Xv
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 850.     CrossRef
  • The association between TyG and all-cause/non-cardiovascular mortality in general patients with type 2 diabetes mellitus is modified by age: results from the cohort study of NHANES 1999–2018
    Younan Yao, Bo Wang, Tian Geng, Jiyan Chen, Wan Chen, Liwen Li
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults
    Cancan Cui, Yitian Qi, Jiayin Song, Xinyun Shang, Tianjiao Han, Ning Han, Siqi Yue, Yining Zha, Zhonghang Xu, Jiannan Li, Lin Liu
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients
    Tolga Han Efe, Engin Algül
    Biomarkers in Medicine.2024; 18(6): 243.     CrossRef
  • Triglyceride-Glucose Index as Predictor for Hypertension, CHD and STROKE Risk among Non-Diabetic Patients: A NHANES Cross-Sectional Study 2001–2020
    Bisher Sawaf, Sarya Swed, Hidar Alibrahim, Haidara Bohsas, Tirth Dave, Mohamad Nour Nasif, Wael Hafez, Fatema Ali Asgar Tashrifwala, Yazan Khair Eldien Jabban, Safwan Al-Rassas, Heba haj Saleh, Abdul Rehman Zia Zaidi, Baraa Alghalyini, Shaymaa Abdelmaboud
    Journal of Epidemiology and Global Health.2024; 14(3): 1152.     CrossRef
  • An Increasing Triglyceride–Glucose Index Is Associated with a Pro-Inflammatory and Pro-Oxidant Phenotype
    Beverley Adams-Huet, Ishwarlal Jialal
    Journal of Clinical Medicine.2024; 13(13): 3941.     CrossRef
  • Inflammatory and Metabolic Predictors of Mortality in Pulmonary Thromboembolism: A Focus on the Triglyceride–Glucose Index and Pan-Immune Inflammation Value
    Murat Bilgin, Emre Akkaya, Recep Dokuyucu
    Journal of Clinical Medicine.2024; 13(19): 6008.     CrossRef
  • The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes
    Verena Gounden, Sridevi Devaraj, Ishwarlal Jialal
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • Evaluation of the novel three lipid indices for predicting five- and ten-year incidence of cardiovascular disease: findings from Kerman coronary artery disease risk factors study (KERCADRS)
    Alireza Jafari, Hamid Najafipour, Mitra Shadkam, Sina Aminizadeh
    Lipids in Health and Disease.2023;[Epub]     CrossRef
Close layer
Namgok Lecture 2022
Diabetes, Obesity and Metabolism
Incretin and Pancreatic β-Cell Function in Patients with Type 2 Diabetes
Chang Ho Ahn, Tae Jung Oh, Se Hee Min, Young Min Cho
Endocrinol Metab. 2023;38(1):1-9.   Published online February 13, 2023
DOI: https://doi.org/10.3803/EnM.2023.103
  • 4,922 View
  • 415 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   ePub   
To maintain normal glucose homeostasis after a meal, it is essential to secrete an adequate amount of insulin from pancreatic β-cells. However, if pancreatic β-cells solely depended on the blood glucose level for insulin secretion, a surge in blood glucose levels would be inevitable after the ingestion of a large amount of carbohydrates. To avoid a deluge of glucose in the bloodstream after a large carbohydrate- rich meal, enteroendocrine cells detect the amount of nutrient absorption from the gut lumen and secrete incretin hormones at scale. Since insulin secretion in response to incretin hormones occurs only in a hyperglycemic milieu, pancreatic β-cells can secrete a “Goldilocks” amount of insulin (i.e., not too much and not too little) to keep the blood glucose level in the normal range. In this regard, pancreatic β-cell sensitivity to glucose and incretin hormones is crucial for maintaining normal glucose homeostasis. In this Namgok lecture 2022, we review the effects of current anti-diabetic medications on pancreatic β-cell sensitivity to glucose and incretin hormones.

Citations

Citations to this article as recorded by  
  • Initial Combination Therapy in Type 2 Diabetes
    Ji Yoon Kim, Nam Hoon Kim
    Endocrinology and Metabolism.2024; 39(1): 23.     CrossRef
  • Impact of Some Natural and Artificial Sweeteners Consumption on Different Hormonal Levels and Inflammatory Cytokines in Male Rats: In Vivo and In Silico Studies
    Dina Mostafa Mohammed, Mohamed A. Abdelgawad, Mohammed M. Ghoneim, Abdulaziz Alhossan, Rasha Hamed Al-Serwi, Amr Farouk
    ACS Omega.2024; 9(28): 30364.     CrossRef
  • Antidiabetic Agents and Bone Quality: A Focus on Glycation End Products and Incretin Pathway Modulations
    Muthanna K. Zaki, Mohammed N. Abed, Fawaz A. Alassaf
    Journal of Bone Metabolism.2024; 31(3): 169.     CrossRef
  • GHRH in diabetes and metabolism
    Charlotte Steenblock, Stefan R. Bornstein
    Reviews in Endocrine and Metabolic Disorders.2024;[Epub]     CrossRef
  • Recent Glycemia Is a Major Determinant of β-Cell Function in Type 2 Diabetes Mellitus
    Ji Yoon Kim, Jiyoon Lee, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2024; 48(6): 1135.     CrossRef
Close layer
Original Articles
Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
Endocrinol Metab. 2023;38(1):129-138.   Published online January 27, 2023
DOI: https://doi.org/10.3803/EnM.2022.1609
  • 3,746 View
  • 184 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
The severity of gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. We aimed to generate a risk model for predicting insulin-requiring GDM before pregnancy in Korean women.
Methods
A total of 417,210 women who received a health examination within 52 weeks before pregnancy and delivered between 2011 and 2015 were recruited from the Korean National Health Insurance database. The risk prediction model was created using a sample of 70% of the participants, while the remaining 30% were used for internal validation. Risk scores were assigned based on the hazard ratios for each risk factor in the multivariable Cox proportional hazards regression model. Six risk variables were selected, and a risk nomogram was created to estimate the risk of insulin-requiring GDM.
Results
A total of 2,891 (0.69%) women developed insulin-requiring GDM. Age, body mass index (BMI), current smoking, fasting blood glucose (FBG), total cholesterol, and γ-glutamyl transferase were significant risk factors for insulin-requiring GDM and were incorporated into the risk model. Among the variables, old age, high BMI, and high FBG level were the main contributors to an increased risk of insulin-requiring GDM. The concordance index of the risk model for predicting insulin-requiring GDM was 0.783 (95% confidence interval, 0.766 to 0.799). The validation cohort’s incidence rates for insulin-requiring GDM were consistent with the risk model’s predictions.
Conclusion
A novel risk engine was generated to predict insulin-requiring GDM among Korean women. This model may provide helpful information for identifying high-risk women and enhancing prepregnancy care.

Citations

Citations to this article as recorded by  
  • Establishment and validation of a nomogram to predict the neck contracture after skin grafting in burn patients: A multicentre cohort study
    Rui Li, Yangyang Zheng, Xijuan Fan, Zilong Cao, Qiang Yue, Jincai Fan, Cheng Gan, Hu Jiao, Liqiang Liu
    International Wound Journal.2023; 20(9): 3648.     CrossRef
  • Predicting the Need for Insulin Treatment: A Risk-Based Approach to the Management of Women with Gestational Diabetes Mellitus
    Anna S. Koefoed, H. David McIntyre, Kristen S. Gibbons, Charlotte W. Poulsen, Jens Fuglsang, Per G. Ovesen
    Reproductive Medicine.2023; 4(3): 133.     CrossRef
  • Prepregnancy Glucose Levels Within Normal Range and Its Impact on Obstetric Complications in Subsequent Pregnancy: A Population Cohort Study
    Ho Yeon Kim, Ki Hoon Ahn, Geum Joon Cho, Soon-Cheol Hong, Min-Jeong Oh, Hai-Joong Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
  • The CHANGED Score—A New Tool for the Prediction of Insulin Dependency in Gestational Diabetes
    Paul Rostin, Selina Balke, Dorota Sroka, Laura Fangmann, Petra Weid, Wolfgang Henrich, Josefine Theresia Königbauer
    Journal of Clinical Medicine.2023; 12(22): 7169.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
The Impact of Insulin Resistance on Hepatic Fibrosis among United States Adults with Non-Alcoholic Fatty Liver Disease: NHANES 2017 to 2018
Ji Cheol Bae, Lauren A. Beste, Kristina M. Utzschneider
Endocrinol Metab. 2022;37(3):455-465.   Published online June 21, 2022
DOI: https://doi.org/10.3803/EnM.2022.1434
  • 5,926 View
  • 154 Download
  • 15 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aimed to investigate the association of hepatic steatosis with liver fibrosis and to assess the interactive effects of hepatic steatosis and insulin resistance on liver fibrosis in a nationally representative sample of United States adults.
Methods
We conducted a cross-sectional analysis using data from National Health and Nutrition Examination Survey 2017 to 2018, which for the first time included transient elastography to assess liver stiffness and hepatic steatosis. We evaluated the association between hepatic steatosis (using controlled attenuation parameter [CAP]) and clinically significant liver fibrosis (defined as liver stiffness ≥7.5 kPa) using logistic regression with an interaction term for hepatic steatosis and insulin resistance (defined as homeostatic model assessment of insulin resistance ≥3.0).
Results
Among adults undergoing transient elastography (n=2,023), 45.9% had moderate or greater hepatic steatosis and 11.3% had clinically significant liver fibrosis. After adjustment for demographic and metabolic factors, the odds of significant liver fibrosis increased as CAP score rose (odds ratio, 1.35 per standard deviation increment; 95% confidence interval, 1.11 to 1.64). We detected a significant interaction effect between CAP score and insulin resistance on the probability of significant liver fibrosis (P=0.016 for interaction). The probability of significant liver fibrosis increased in the presence of insulin resistance with increasing CAP score, while those without insulin resistance had low probability of significant liver fibrosis, even with high CAP scores.
Conclusion
Individuals with hepatic steatosis had higher odds of fibrosis when insulin resistance was present. Our findings emphasize the importance of the metabolic aspects of the disease on fibrosis risk and suggest a need to better identify patients with metabolic associated fatty liver disease.

Citations

Citations to this article as recorded by  
  • Association between the triglyceride-glucose index and liver fibrosis in adults with metabolism-related fatty liver disease in the United States: a cross-sectional study of NHANES 2017–2020
    Yuou Ying, Yuan Ji, Ruyi Ju, Jinhan Chen, Mingxian Chen
    BMC Gastroenterology.2025;[Epub]     CrossRef
  • Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome
    Tzu-chia Kuo, Yang-bor Lu, Chieh-lun Yang, Bin Wang, Lin-xin Chen, Ching-ping Su
    BMC Gastroenterology.2024;[Epub]     CrossRef
  • No More NAFLD: The Term Is Now MASLD
    Ji Cheol Bae
    Endocrinology and Metabolism.2024; 39(1): 92.     CrossRef
  • Insulin Resistance/Sensitivity Measures as Screening Indicators of Metabolic-Associated Fatty Liver Disease and Liver Fibrosis
    Mohammad E. Khamseh, Mojtaba Malek, Soodeh Jahangiri, Sohrab Nobarani, Azita Hekmatdoost, Marieh Salavatizadeh, Samira Soltanieh, Haleh Chehrehgosha, Hoda Taheri, Zeinab Montazeri, Fereshteh Attaran, Faramarz Ismail-Beigi, Fariba Alaei-Shahmiri
    Digestive Diseases and Sciences.2024; 69(4): 1430.     CrossRef
  • The association of Neuromedin U levels and non-alcoholic fatty liver disease: A comparative analysis
    Murat Keskin, Sercan Avul, Aylin Beyaz, Nizameddin Koca
    Heliyon.2024; 10(5): e27291.     CrossRef
  • Oral Insulin Alleviates Liver Fibrosis and Reduces Liver Steatosis in Patients With Metabolic Dysfunction-associated Steatohepatitis and Type 2 Diabetes: Results of Phase II Randomized, Placebo-controlled Feasibility Clinical Trial
    Yuval Ishay, Joel Neutel, Yotam Kolben, Ram Gelman, Orly Sneh Arbib, Oliver Lopez, Helena Katchman, Rizwana Mohseni, Miriam Kidron, Yaron Ilan
    Gastro Hep Advances.2024; 3(3): 417.     CrossRef
  • Comparative and Predictive Significance of Serum Leptin Levels in Non-alcoholic Fatty Liver Disease
    Mehwish Qamar, Abeer Fatima, Ambreen Tauseef, Muhammad I Yousufzai, Ibrahim Liaqat, Qanbar Naqvi
    Cureus.2024;[Epub]     CrossRef
  • Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
    Inha Jung, Dae-Jeong Koo, Won-Young Lee
    Diabetes & Metabolism Journal.2024; 48(3): 327.     CrossRef
  • Metabolic dysfunction-associated steatotic liver disease heterogeneity: Need of subtyping
    Shahid Habib
    World Journal of Gastrointestinal Pathophysiology.2024;[Epub]     CrossRef
  • Appendicular skeletal muscle mass is associated with metabolic dysfunction-associated steatotic liver disease severity in young men: a cross-sectional and longitudinal study
    Jaejun Lee, Jinson So, Chang In Han, Hyun Yang, Pil Soo Sung, Si Hyun Bae, Do Seon Song
    Hepatology International.2024;[Epub]     CrossRef
  • Greater Severity of Steatosis Is Associated with a Higher Risk of Incident Diabetes: A Retrospective Longitudinal Study
    Ji Min Han, Jung Hwan Cho, Hye In Kim, Sunghwan Suh, Yu-Ji Lee, Jung Won Lee, Kwang Min Kim, Ji Cheol Bae
    Endocrinology and Metabolism.2023; 38(4): 418.     CrossRef
  • Hepatic T-cell senescence and exhaustion are implicated in the progression of fatty liver disease in patients with type 2 diabetes and mouse model with nonalcoholic steatohepatitis
    Byeong Chang Sim, Yea Eun Kang, Sun Kyoung You, Seong Eun Lee, Ha Thi Nga, Ho Yeop Lee, Thi Linh Nguyen, Ji Sun Moon, Jingwen Tian, Hyo Ju Jang, Jeong Eun Lee, Hyon-Seung Yi
    Cell Death & Disease.2023;[Epub]     CrossRef
  • Familial clustering of nonalcoholic fatty liver disease in first‐degree relatives of adults with lean nonalcoholic fatty liver disease
    Sorachat Niltwat, Chanin Limwongse, Natthinee Charatcharoenwitthaya, Duangkamon Bunditvorapoom, Wimolrak Bandidniyamanon, Phunchai Charatcharoenwitthaya
    Liver International.2023; 43(12): 2713.     CrossRef
  • Metabolic Score for Insulin Resistance Is Inversely Related to Incident Advanced Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease
    Jun-Hyuk Lee, Yu-Jin Kwon, Kyongmin Park, Hye Sun Lee, Hoon-Ki Park, Jee Hye Han, Sang Bong Ahn
    Nutrients.2022; 14(15): 3039.     CrossRef
  • DPP-4 Inhibitor in Type 2 Diabetes Mellitus Patient with Non-Alcoholic Fatty Liver Disease: Achieving Two Goals at Once?
    Ji Cheol Bae
    Endocrinology and Metabolism.2022; 37(6): 858.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism
TOP