Endocrinology and Metabolism

Original Article

Impact of Chronic Kidney Disease and Gout on End-Stage Renal Disease in Type 2 Diabetes: Population-Based Cohort Study: Inha Jung, Da Young Lee, Seung Min Chung, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim; Received April 23, 2024 Accepted July 2, 2024 Published online August 30, 2024; DOI: https://doi.org/10.3803/EnM.2024.2020 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
We examined the impact of gout on the end-stage renal disease (ESRD) risk in patients with type 2 diabetes mellitus (T2DM) and determined whether this association differs according to chronic kidney disease (CKD) status.
Methods
Using the Korean National Health Insurance Service, this nationwide cohort study enrolled 847,884 patients with T2DM who underwent health checkups in 2009. Based on the presence of CKD (estimated glomerular filtration rate <60 mL/min/1.73 m²) and gout (two outpatient visits or one hospitalization within 5 years), patients were classified into four groups: CKD⁻Gout⁻, CKD⁻ Gout⁺, CKD⁺Gout⁻, and CKD⁺Gout⁺. Patients with incident ESRD were followed up until December 2018.
Results
Among 847,884 patients, 11,825 (1.4%) experienced progression to ESRD. ESRD incidence increased in the following order: 0.77 per 1,000 person-years (PY) in the CKD⁻Gout⁻ group, 1.34/1,000 PY in the CKD⁻Gout⁺ group, 8.20/1,000 PY in the CKD⁺Gout⁻ group, and 23.06/1,000 PY in the CKD⁺Gout⁺ group. The presence of gout modified the ESRD risk in a status-dependent manner. Hazard ratios (HR) were 1.49 (95% confidence interval [CI], 1.32 to 1.69) and 2.24 (95% CI, 2.09 to 2.40) in patients without and with CKD, respectively, indicating a significant interaction (P<0.0001). The CKD⁺Gout⁺ group had a markedly higher risk of developing ESRD (HR, 18.9; 95% CI, 17.58 to 20.32) than the reference group (CKD⁻Gout⁻).
Conclusion
Gout substantially enhances the risk of ESRD, even in the absence of CKD. Concurrent CKD and gout synergistically increase the risk of ESRD. Therefore, physicians should carefully screen for hyperuricemia to prevent progression to ESRD.

Brief Report

Impact of Diabetes on COVID-19 Susceptibility: A Nationwide Propensity Score Matching Study: Han Na Jang, Sun Joon Moon, Jin Hyung Jung, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee; Received April 17, 2024 Accepted June 13, 2024 Published online August 28, 2024; DOI: https://doi.org/10.3803/EnM.2024.2014 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Prior research has highlighted poor clinical outcomes in coronavirus disease 2019 (COVID-19)-infected patients with diabetes; however, susceptibility to COVID-19 infection in patients with diabetes has not been extensively studied. Participants aged ≥30 years who underwent COVID-19 testing from December 2019 to April 2020 were analyzed using the National Health Insurance Service data in South Korea. In a cohort comprising 29,433 1:1 propensity score-matched participants, COVID-19 positivity was significantly higher in participants with diabetes than in those without diabetes (512 [3.5%] vs. 395 [2.7%], P<0.001). Logistic regression analysis indicated that diabetes significantly increased the risk of COVID-19 test positivity (odds ratio, 1.307; 95% confidence interval, 1.144 to 1.493; P<0.001). Patients with diabetes exhibited heightened COVID-19 infection rates compared to individuals without diabetes, and diabetes increased the susceptibility to COVID-19, reinforcing the need for heightened preventive measures, particularly considering the poor clinical outcomes in this group.

Original Articles

Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factors (ENSEMBLE): Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong Jin, Jae Hyuk Lee, Gwanpyo Koh, Sang-Yong Kim, Jaetaek Kim, Ju Hee Lee, Tae Nyun Kim, Hyun Jeong Jeon, Ji Hyun Lee, Jae-Han Jeon, Hye Jin Yoo, Hee Kyung Kim, Hyeong-Kyu Park, Il Seong Nam-Goong, Seongbin Hong, Chul Woo Ahn, Ji Hee Yu, Jong Heon Park, Keun-Gyu Park, Chan Ho Park, Kyong Hye Joung, Ohk-Hyun Ryu, Keun Yong Park, Eun-Gyoung Hong, Bong-Soo Cha, Kyu Chang Won, Yoon-Sok Chung, Sin Gon Kim; Received April 1, 2024 Accepted June 12, 2024 Published online August 22, 2024; DOI: https://doi.org/10.3803/EnM.2024.1995 [Epub ahead of print]

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Abstract PDF PubReader ePub: Background
Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator- activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined.
Methods
This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months.
Conclusion
This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.

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; Received March 4, 2024 Accepted May 7, 2024 Published online August 21, 2024; DOI: https://doi.org/10.3803/EnM.2024.1974 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader 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.

Diabetes, obesity and metabolism
Financial Benefits of Renal Dose-Adjusted Dipeptidyl Peptidase-4 Inhibitors for Patients with Type 2 Diabetes and Chronic Kidney Disease: Hun Jee Choe, Yeh-Hee Ko, Sun Joon Moon, Chang Ho Ahn, Kyoung Hwa Ha, Hyeongsuk Lee, Jae Hyun Bae, Hyung Joon Joo, Hyejin Lee, Jang Wook Son, Dae Jung Kim, Sin Gon Kim, Kwangsoo Kim, Young Min Cho; Endocrinol Metab. 2024;39(4):622-631. Published online August 1, 2024; DOI: https://doi.org/10.3803/EnM.2024.1965

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Abstract PDF Supplementary Material PubReader ePub: Background
Dipeptidyl peptidase-4 (DPP4) inhibitors are frequently prescribed for patients with type 2 diabetes; however, their cost can pose a significant barrier for those with impaired kidney function. This study aimed to estimate the economic benefits of substituting non-renal dose-adjusted (NRDA) DPP4 inhibitors with renal dose-adjusted (RDA) DPP4 inhibitors in patients with both impaired kidney function and type 2 diabetes.
Methods
This retrospective cohort study was conducted from January 1, 2012 to December 31, 2018, using data obtained from common data models of five medical centers in Korea. Model 1 applied the prescription pattern of participants with preserved kidney function to those with impaired kidney function. In contrast, model 2 replaced all NRDA DPP4 inhibitors with RDA DPP4 inhibitors, adjusting the doses of RDA DPP4 inhibitors based on individual kidney function. The primary outcome was the cost difference between the two models.
Results
In total, 67,964,996 prescription records were analyzed. NRDA DPP4 inhibitors were more frequently prescribed to patients with impaired kidney function than in those with preserved kidney function (25.7%, 51.3%, 64.3%, and 71.6% in patients with estimated glomerular filtration rates [eGFRs] of ≥60, <60, <45, and <30 mL/min/1.73 m², respectively). When model 1 was applied, the cost savings per year were 7.6% for eGFR <60 mL/min/1.73 m² and 30.4% for eGFR <30 mL/min/1.73 m². According to model 2, 15.4% to 51.2% per year could be saved depending on kidney impairment severity.
Conclusion
Adjusting the doses of RDA DPP4 inhibitors based on individual kidney function could alleviate the economic burden associated with medical expenses.

Brief Report

Diabetes, obesity and metabolism
Ketonuria as an Indicator of Improvement of Renal Function in Patients with Type 2 Diabetes Receiving SGLT2 Inhibitor Treatment: Hyun Ah Kim, Han Na Jang, Sung Hye Kong, Young Lee, Sung Hee Choi, Young Min Cho, Hak Chul Jang, Tae Jung Oh; Endocrinol Metab. 2024;39(4):653-658. Published online May 16, 2024; DOI: https://doi.org/10.3803/EnM.2024.1919

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Abstract PDF Supplementary Material PubReader ePub: We investigated the potential association between ketonuria during treatment with sodium-glucose cotransporter-2 (SGLT2) inhibitors and its renoprotective effect in patients with type 2 diabetes. We included 192 patients who had received SGLT2 inhibitors for more than 6 months. After propensity score matching, 52 patients each were allocated into groups with or without ketonuria, respectively. The estimated glomerular filtration rate exhibited a significant improvement only in subjects with ketonuria (without ketonuria: mean difference, –0.02 mL/min/1.73 m² [95% confidence interval (CI), –3.87 to 3.83 mL/min/1.73 m²] vs. with ketonuria: mean difference, 6.81 mL/min/1.73 m² [95% CI, 3.16 to 10.46 mL/min/1.73 m²]; P<0.001). Improvement in estimated glomerular filtration rate at 6 months was associated with female sex and lower baseline body weight, blood pressure, and triglyceride levels in patients with ketonuria. In conclusion, the presence of ketonuria was associated with the renoprotective effect of SGLT2 inhibitors, and female sex and the absence of metabolic syndrome components may serve as additional indicators of these medications’ substantial renoprotective effects in individuals with ketonuria.

Review Articles

Diabetes, obesity and metabolism
Scaling Insulin-Producing Cells by Multiple Strategies: Jinhyuk Choi, Fritz Cayabyab, Harvey Perez, Eiji Yoshihara; Endocrinol Metab. 2024;39(2):191-205. Published online April 4, 2024; DOI: https://doi.org/10.3803/EnM.2023.1910

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Abstract PDF PubReader ePub

In the quest to combat insulin-dependent diabetes mellitus (IDDM), allogenic pancreatic islet cell therapy sourced from deceased donors represents a significant therapeutic advance. However, the applicability of this approach is hampered by donor scarcity and the demand for sustained immunosuppression. Human induced pluripotent stem cells are a game-changing resource for generating synthetic functional insulin-producing β cells. In addition, novel methodologies allow the direct expansion of pancreatic progenitors and mature β cells, thereby circumventing prolonged differentiation. Nevertheless, achieving practical reproducibility and scalability presents a substantial challenge for this technology. As these innovative approaches become more prominent, it is crucial to thoroughly evaluate existing expansion techniques with an emphasis on their optimization and scalability. This manuscript delineates these cutting-edge advancements, offers a critical analysis of the prevailing strategies, and underscores pivotal challenges, including cost-efficiency and logistical issues. Our insights provide a roadmap, elucidating both the promises and the imperatives in harnessing the potential of these cellular therapies for IDDM.

Citations

Citations to this article as recorded by

Insulin evolution: A holistic view of recombinant production advancements
Ansuman Sahoo, Prabir Kumar Das, Veeranki Venkata Dasu, Sanjukta Patra
International Journal of Biological Macromolecules.2024; 277: 133951. CrossRef

Diabetes, obesity and metabolism
Glucocorticoid-Induced Hyperglycemia: A Neglected Problem: Jung-Hwan Cho, Sunghwan Suh; Endocrinol Metab. 2024;39(2):222-238. Published online March 27, 2024; DOI: https://doi.org/10.3803/EnM.2024.1951

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Glucocorticoids provide a potent therapeutic response and are widely used to treat a variety of diseases, including coronavirus disease 2019 (COVID-19) infection. However, the issue of glucocorticoid-induced hyperglycemia (GIH), which is observed in over one-third of patients treated with glucocorticoids, is often neglected. To improve the clinical course and prognosis of diseases that necessitate glucocorticoid therapy, proper management of GIH is essential. The key pathophysiology of GIH includes systemic insulin resistance, which exacerbates hepatic steatosis and visceral obesity, as well as proteolysis and lipolysis of muscle and adipose tissue, coupled with β-cell dysfunction. For patients on glucocorticoid therapy, risk stratification should be conducted through a detailed baseline evaluation, and frequent glucose monitoring is recommended to detect the onset of GIH, particularly in high-risk individuals. Patients with confirmed GIH who require treatment should follow an insulin-centered regimen that varies depending on whether they are inpatients or outpatients, as well as the type and dosage of glucocorticoid used. The ideal strategy to maintain normoglycemia while preventing hypoglycemia is to combine basal-bolus insulin and correction doses with a continuous glucose monitoring system. This review focuses on the current understanding and latest evidence concerning GIH, incorporating insights gained from the COVID-19 pandemic.

Citations

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Effect of hypoglycemic events on cognitive function in individuals with type 2 diabetes mellitus: a dose–response meta-analysis
Min Ye, Qiqi Yang, Lele Zhang, Hudie Song, Qin Fu, Jun Qian, Hongyu Xie, Aihong Yuan
Frontiers in Neurology.2024;[Epub] CrossRef

Original Article

Diabetes, obesity and metabolism
Efficacy and Safety of Omarigliptin, a Novel Once-Weekly Dipeptidyl Peptidase-4 Inhibitor, in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis: A.B.M. Kamrul-Hasan, Muhammad Shah Alam, Samir Kumar Talukder, Deep Dutta, Shahjada Selim; Endocrinol Metab. 2024;39(1):109-126. Published online January 23, 2024; DOI: https://doi.org/10.3803/EnM.2023.1839

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Background
No recent meta-analysis has holistically analyzed and summarized the efficacy and safety of omarigliptin in type 2 diabetes mellitus (T2DM). We conducted a meta-analysis to address this knowledge gap.
Methods
Electronic databases were searched to identify randomized controlled trials (RCTs) that included patients with T2DM who received omarigliptin in the intervention arm. The control arm consisted of either a placebo (passive control group [PCG]) or an active comparator (active control group [ACG]). The primary outcome assessed was changes in hemoglobin A1c (HbA1c), while secondary outcomes included variations in glucose levels, achievement of glycemic targets, adverse events (AEs), and hypoglycemic events.
Results
From 332 initially screened articles, data from 16 RCTs involving 8,804 subjects were analyzed. Omarigliptin demonstrated superiority over placebo in reducing HbA1c levels (mean difference, –0.58%; 95% confidence interval, –0.75 to –0.40; P<0.00001; I²=91%). Additionally, omarigliptin outperformed placebo in lowering fasting plasma glucose, 2-hour postprandial glucose, and in the percentage of participants achieving HbA1c levels below 7.0% and 6.5%. The glycemic efficacy of omarigliptin was similar to that of the ACG across all measures. Although the omarigliptin group experienced a higher incidence of hypoglycemic events compared to the PCG, the overall AEs, serious AEs, hypoglycemia, and severe hypoglycemia were comparable between the omarigliptin and control groups (PCG and ACG).
Conclusion
Omarigliptin has a favorable glycemic efficacy and safety profile for managing T2DM.

Citations

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Role of flibanserin in managing hypoactive sexual desire disorder in women: A systematic review and meta-analysis
A.B.M. Kamrul-Hasan, Mohammad Abdul Hannan, Muhammad Shah Alam, Fatema Tuz Zahura Aalpona, Lakshmi Nagendra, Shahjada Selim, Deep Dutta
Medicine.2024; 103(25): e38592. CrossRef
Teneligliptin: A potential therapeutic approach for diabetic cardiomyopathy
Ashraf Al Madhoun
World Journal of Diabetes.2024; 15(8): 1654. CrossRef
Inhibition of Oxidative Stress and Related Signaling Pathways in Neuroprotection
Maja Jazvinšćak Jembrek
Antioxidants.2024; 13(9): 1033. CrossRef
Safety and efficacy of the novel RNA interference therapies for hypertriglyceridemia and mixed hyperlipidemia management: a systematic review and meta-analysis
A.B.M. Kamrul-Hasan, Deep Dutta, Lakshmi Nagendra, Sunetra Mondal, Saptarshi Bhattacharya, Sanjay Kalra
Endocrine Practice.2024;[Epub] CrossRef

Review Article

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

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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

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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-Like Growth Factor Signaling in Alzheimer’s Disease: Pathophysiology and Therapeutic Strategies
Jie Miao, Yanli Zhang, Chen Su, Qiandan Zheng, Junhong Guo
Molecular Neurobiology.2024;[Epub] CrossRef

Original Articles

Diabetes, obesity and metabolism
Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus: Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko; Endocrinol Metab. 2024;39(2):344-352. Published online December 27, 2023; DOI: https://doi.org/10.3803/EnM.2023.1871

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Abstract PDF Supplementary Material PubReader ePub: Background
This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM).
Methods
A 3-month, randomized, open-label, controlled, parallel-group trial was conducted. One hundred and ten participants with T2DM were randomized to a mobile message system (MMS) (n=55) or control group (n=55). The MMS group received protocolbased automated messages two times per day for 10 weeks regarding diabetes self-management through KakaoTalk SNS messenger. The primary outcome was the difference in the change in glycated hemoglobin (HbA1c) levels (%) from baseline to week 12.
Results
HbA1c levels were more markedly decreased in the MMS group (8.4%±0.7% to 8.0%±1.1%) than in the control group (8.5%±0.8% to 8.4%±0.8%), resulting in a significant between-group difference (P=0.027). No differences were observed in changes in fasting glucose levels, lipid profiles, and the number of participants who experienced hypoglycemia, or in changes in lifestyle behavior between groups. However, the self-monitoring of blood glucose frequency was significantly increased in the MMS group compared to the control group (P=0.003). In addition, sleep duration was increased in the MMS group, but was not changed in the control group.
Conclusion
An SNS-based automatic mobile message providing system was effective in improving glycemic control in patients in T2DM. Studies which based on a more individualized protocol, and investigate longer beneficial effect and sustainability will be required in the future.

Calcium & bone metabolism Big Data Articles (National Health Insurance Service Database)
Association between Smoking Status and the Risk of Hip Fracture in Patients with Type 2 Diabetes: A Nationwide Population-Based Study: Se-Won Lee, Jun-Young Heu, Ju-Yeong Kim, Jinyoung Kim, Kyungdo Han, Hyuk-Sang Kwon; Endocrinol Metab. 2023;38(6):679-689. Published online December 6, 2023; DOI: https://doi.org/10.3803/EnM.2023.1760

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Background
Limited longitudinal evidence exists regarding the potential association between smoking status and hip fracture among individuals with type 2 diabetes. We investigated this association using large-scale, nationwide cohort data for the Korean population.
Methods
This nationwide cohort study included 1,414,635 adults aged 40 and older who received Korean National Health Insurance Service health examinations between 2009 and 2012. Subjects with type 2 diabetes were categorized according to their smoking status, amount smoked (pack-years), number of cigarettes smoked per day, and duration of smoking. The results are presented as hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between smoking status parameters and risk of hip fracture in multivariable Cox proportional hazard regression analysis.
Results
Compared with never-smokers, an increased adjusted HR (aHR) for hip fracture was observed in current smokers (1.681; 95% CI, 1.578 to 1.791), and a comparable aHR for hip fracture was found in former smokers (1.065; 95% CI, 0.999 to 1.136). For former smokers who had smoked 20 pack-years or more, the risk was slightly higher than that for never-smokers (aHR, 1.107; 95% CI, 1.024 to 1.196). The hip fracture risk of female former smokers was similar to that of female current smokers, but the hip fracture risk in male former smokers was similar to that of male never-smokers.
Conclusion
Smoking is associated with an increased risk of hip fracture in patients with type 2 diabetes. Current smokers with diabetes should be encouraged to quit smoking because the risk of hip fracture is greatly reduced in former smokers.

Citations

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Influence of quitting smoking on diabetes-related complications: A scoping review with a systematic search strategy
Magdalena Walicka, Arkadiusz Krysiński, Giusy Rita Maria La Rosa, Ang Sun, Davide Campagna, Agostino Di Ciaula, Tabinda Dugal, Andre Kengne, Phuong Le Dinh, Anoop Misra, Riccardo Polosa, Syed Abbas Raza, Cristina Russo, Roberta Sammut, Noel Somasundaram
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(5): 103044. CrossRef

Review Articles

Diabetes, obesity and metabolism
Initial Combination Therapy in Type 2 Diabetes: Ji Yoon Kim, Nam Hoon Kim; Endocrinol Metab. 2024;39(1):23-32. Published online November 30, 2023; DOI: https://doi.org/10.3803/EnM.2023.1816

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Abstract PDF PubReader ePub: Type 2 diabetes (T2D) is a progressive disease in which it is challenging to achieve long-term durable glycemic control. However, intensive glycemic control is crucial for preventing diabetes-related complications. Previous studies showed that monotherapy with a stepwise add-on approach was seldom effective for long-term durable glycemic control. Combination therapy, which refers to the use of two or more drugs to control hyperglycemia, has multiple benefits, including the ability to target a variety of pathophysiological processes underlying hyperglycemia. In clinical trials, initial combination therapy showed better glycemic control than monotherapy or a stepwise approach. Emerging evidence indicates that initial combination therapy is associated with preserved β-cell function and fewer complications in T2D. However, cost-effectiveness and adverse events with combination therapy are issues that should be considered. Therefore, initial combination therapy is an important option for patients with T2D that clinicians should consider with a view toward balancing benefits and potential harms. In this review, we summarize the literature addressing initial combination therapy in T2D, and we suggest optimal strategies based on clinical situations and patient characteristics.

Miscellaneous
Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer: Aliya Lakhani, Da Hyun Kang, Yea Eun Kang, Junyoung O. Park; Endocrinol Metab. 2023;38(6):619-630. Published online November 21, 2023; DOI: https://doi.org/10.3803/EnM.2023.1814

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Metabolism is a dynamic network of biochemical reactions that support systemic homeostasis amidst changing nutritional, environmental, and physical activity factors. The circulatory system facilitates metabolite exchange among organs, while the endocrine system finely tunes metabolism through hormone release. Endocrine disorders like obesity, diabetes, and Cushing’s syndrome disrupt this balance, contributing to systemic inflammation and global health burdens. They accompany metabolic changes on multiple levels from molecular interactions to individual organs to the whole body. Understanding how metabolic fluxes relate to endocrine disorders illuminates the underlying dysregulation. Cancer is increasingly considered a systemic disorder because it not only affects cells in localized tumors but also the whole body, especially in metastasis. In tumorigenesis, cancer-specific mutations and nutrient availability in the tumor microenvironment reprogram cellular metabolism to meet increased energy and biosynthesis needs. Cancer cachexia results in metabolic changes to other organs like muscle, adipose tissue, and liver. This review explores the interplay between the endocrine system and systems-level metabolism in health and disease. We highlight metabolic fluxes in conditions like obesity, diabetes, Cushing’s syndrome, and cancers. Recent advances in metabolomics, fluxomics, and systems biology promise new insights into dynamic metabolism, offering potential biomarkers, therapeutic targets, and personalized medicine.

Citations

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Editorial: Tumor metabolism and programmed cell death
Dan-Lan Pu, Qi-Nan Wu
Frontiers in Endocrinology.2024;[Epub] CrossRef
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Han Wang, Yang Liu, Aifa Tang, Xiansheng Zhang
European Journal of Medical Research.2024;[Epub] CrossRef

Original Article

Miscellaneous
Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm: Joonyub Lee, Yera Choi, Taehoon Ko, Kanghyuck Lee, Juyoung Shin, Hun-Sung Kim; Endocrinol Metab. 2024;39(1):176-185. Published online November 21, 2023; DOI: https://doi.org/10.3803/EnM.2023.1739

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Abstract PDF Supplementary Material PubReader ePub: Background
Cardiovascular disease is life-threatening yet preventable for patients with type 2 diabetes mellitus (T2DM). Because each patient with T2DM has a different risk of developing cardiovascular complications, the accurate stratification of cardiovascular risk is critical. In this study, we proposed cardiovascular risk engines based on machine-learning algorithms for newly diagnosed T2DM patients in Korea.
Methods
To develop the machine-learning-based cardiovascular disease engines, we retrospectively analyzed 26,166 newly diagnosed T2DM patients who visited Seoul St. Mary’s Hospital between July 2009 and April 2019. To accurately measure diabetes-related cardiovascular events, we designed a buffer (1 year), an observation (1 year), and an outcome period (5 years). The entire dataset was split into training and testing sets in an 8:2 ratio, and this procedure was repeated 100 times. The area under the receiver operating characteristic curve (AUROC) was calculated by 10-fold cross-validation on the training dataset.
Results
The machine-learning-based risk engines (AUROC XGBoost=0.781±0.014 and AUROC gated recurrent unit [GRU]-ordinary differential equation [ODE]-Bayes=0.812±0.016) outperformed the conventional regression-based model (AUROC=0.723± 0.036).
Conclusion
GRU-ODE-Bayes-based cardiovascular risk engine is highly accurate, easily applicable, and can provide valuable information for the individualized treatment of Korean patients with newly diagnosed T2DM.

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