Diabetes & Metabolism Journal

Original Article

COVID-19
Impact of COVID-19 Lockdown on the Metabolic Control Parameters in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis: Ifan Ali Wafa, Nando Reza Pratama, Nurizzah Farahiyah Sofia, Elsha Stephanie Anastasia, Tiffany Konstantin, Maharani Ayuputeri Wijaya, M. Rifqi Wiyono, Lilik Djuari, Hermina Novida; Diabetes Metab J. 2022;46(2):260-272. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0125

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Background
Abrupt implementation of lockdowns during the coronavirus disease 2019 (COVID-19) pandemic affected the management of diabetes mellitus in patients worldwide. Limited access to health facilities and lifestyle changes potentially affected metabolic parameters in patients at risk. We conducted a meta-analysis to determine any differences in the control of metabolic parameters in patients with diabetes, before and during lockdown.
Methods
We performed searches of five databases. Meta-analyses were carried out using random- or fixed-effect approaches to glycaemic control parameters as the primary outcome: glycosylated hemoglobin (HbA1c), random blood glucose (RBG), fasting blood glucose (FBG), time-in-range (TIR), time-above-range (TAR), time-below-range (TBR). Mean difference (MD), confidence interval (CI), and P value were calculated. Lipid profile was a secondary outcome and is presented as a descriptive analysis.
Results
Twenty-one studies enrolling a total of 3,992 patients with type 1 or type 2 diabetes mellitus (T1DM or T2DM) were included in the study. Patients with T1DM showed a significant improvement of TIR and TAR (MD=3.52% [95% CI, 0.29 to 6.74], I²=76%, P=0.03; MD=–3.36% [95% CI, –6.48 to –0.25], I²=75%, P=0.03), while FBG among patients with T2DM significantly worsened (MD=3.47 mg/dL [95% CI, 1.22 to 5.73], I²=0%, P<0.01). No significant difference was found in HbA1c, RBG, and TBR. Use of continuous glucose monitoring in T1DM facilitated good glycaemic control. Significant deterioration of lipid parameters during lockdown, particularly triglyceride, was observed.
Conclusion
Implementation of lockdowns during the COVID-19 pandemic did not worsen glycaemic control in patients with diabetes. Other metabolic parameters improved during lockdown, though lipid parameters, particularly triglyceride, worsened.

Citations

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Samira Barbara Jabakhanji, Oluwabunmi Ogungbe, Sonia Y Angell, Lawrence Appel, David Byrne, Roopa Mehta, John McCaffrey, Lori Rosman, Edward W Gregg, Kunihiro Matsushita
BMJ Open.2024; 14(1): e074443. CrossRef
Influence of the COVID-19 pandemic on the achievement of guideline targets for HbA1c, blood pressure, and LDL cholesterol in people with diabetes in Japan
Shingo Kuwajima, Takahito Itoh, Tatsuya Sato, Shoya Ino, Satoru Shibata, Kouhei Ohno, Hiroyuki Hotta, Tomoaki Matsumoto, Hitoshi Ooiwa, Hirofumi Kubo, Takayuki Miki
Diabetology International.2024;[Epub] CrossRef
Glycemic Control in Type 1 Diabetes Mellitus and COVID-19: What We Learned From the Lockdown Experience
Catarina Almeida, André Ferreira, Daniela Duarte, Ana Filipa Viegas, André Santos, Alexandra Vaz, Edite Nascimento
Cureus.2023;[Epub] CrossRef
Changes in body weight and glycemic control in association with COVID-19 Shutdown among 23,000 adults with type 2 diabetes
Emily Panza, Kevin E. Kip, Kripa Venkatakrishnan, Oscar C. Marroquin, Rena R. Wing
Acta Diabetologica.2023; 60(6): 787. CrossRef
The Impact of a Lockdown for the COVID-19 Pandemic on Seasonal HbA1c Variation in Patients with Type 2 Diabetes
Yu-Cheng Cheng, Yu-Hsuan Li, Hsiu-Chen Liu, Chiann-Yi Hsu, Wan-Jen Chang, I-Te Lee, Chin-Li Lu
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Retrospective Study on the Impact of COVID-19 Lockdown on Patients with Type 2 Diabetes in Northern Taiwan
Hsuan Huang, Hsiao-Ling Su, Chih-Hsung Huang, Yi-Hsin Lin
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RIPK1 and RIPK3 inhibitors: potential weapons against inflammation to treat diabetic complications
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Editorial

Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?: Hye Jin Yoo; Diabetes Metab J. 2022;46(2):257-259. Published online March 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0060

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Mean versus variability of lipid measurements over 6 years and incident cardiovascular events: More than a decade follow-up
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Reviews

Others
Links between Thyroid Disorders and Glucose Homeostasis: Young Sil Eom, Jessica R. Wilson, Victor J. Bernet; Diabetes Metab J. 2022;46(2):239-256. Published online March 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0013

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Thyroid disorders and diabetes mellitus often coexist and are closely related. Several studies have shown a higher prevalence of thyroid disorders in patients with diabetes mellitus and vice versa. Thyroid hormone affects glucose homeostasis by impacting pancreatic β-cell development and glucose metabolism through several organs such as the liver, gastrointestinal tract, pancreas, adipose tissue, skeletal muscles, and the central nervous system. The present review discusses the effect of thyroid hormone on glucose homeostasis. We also review the relationship between thyroid disease and diabetes mellitus: type 1, type 2, and gestational diabetes, as well as guidelines for screening thyroid function with each disorder. Finally, we provide an overview of the effects of antidiabetic drugs on thyroid hormone and thyroid disorders.

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Frontiers in Endocrinology.2023;[Epub] CrossRef
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International Journal of Molecular Sciences.2023; 24(19): 14903. CrossRef
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Endocrinology and Metabolism.2022; 37(6): 891. CrossRef

Pathophysiology
Glial and Vascular Cell Regulation of the Blood-Brain Barrier in Diabetes: Xiaolong Li, Yan Cai, Zuo Zhang, Jiyin Zhou; Diabetes Metab J. 2022;46(2):222-238. Published online March 18, 2022; DOI: https://doi.org/10.4093/dmj.2021.0146

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As a structural barrier, the blood-brain barrier (BBB) is located at the interface between the brain parenchyma and blood, and modulates communication between the brain and blood microenvironment to maintain homeostasis. The BBB is composed of endothelial cells, basement membrane, pericytes, and astrocytic end feet. BBB impairment is a distinguishing and pathogenic factor in diabetic encephalopathy. Diabetes causes leakage of the BBB through downregulation of tight junction proteins, resulting in impaired functioning of endothelial cells, pericytes, astrocytes, microglia, nerve/glial antigen 2-glia, and oligodendrocytes. However, the temporal regulation, mechanisms of molecular and signaling pathways, and consequences of BBB impairment in diabetes are not well understood. Consequently, the efficacy of therapies diabetes targeting BBB leakage still lags behind the requirements. This review summarizes the recent research on the effects of diabetes on BBB composition and the potential roles of glial and vascular cells as therapeutic targets for BBB disruption in diabetic encephalopathy.

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International Journal of Molecular Sciences.2024; 25(2): 1122. CrossRef
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Xiaoyan Hu, Panpan Geng, Xiaoyun Zhao, Qian Wang, Changqing Liu, Chun Guo, Wen Dong, Xinchun Jin
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Fluids and Barriers of the CNS.2022;[Epub] CrossRef

Complications
Peripheral Neuropathy Phenotyping in Rat Models of Type 2 Diabetes Mellitus: Evaluating Uptake of the Neurodiab Guidelines and Identifying Future Directions: Md Jakir Hossain, Michael D. Kendig, Meg E. Letton, Margaret J. Morris, Ria Arnold; Diabetes Metab J. 2022;46(2):198-221. Published online March 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0347

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Diabetic peripheral neuropathy (DPN) affects over half of type 2 diabetes mellitus (T2DM) patients, with an urgent need for effective pharmacotherapies. While many rat and mouse models of T2DM exist, the phenotyping of DPN has been challenging with inconsistencies across laboratories. To better characterize DPN in rodents, a consensus guideline was published in 2014 to accelerate the translation of preclinical findings. Here we review DPN phenotyping in rat models of T2DM against the ‘Neurodiab’ criteria to identify uptake of the guidelines and discuss how DPN phenotypes differ between models and according to diabetes duration and sex. A search of PubMed, Scopus and Web of Science databases identified 125 studies, categorised as either diet and/or chemically induced models or transgenic/spontaneous models of T2DM. The use of diet and chemically induced T2DM models has exceeded that of transgenic models in recent years, and the introduction of the Neurodiab guidelines has not appreciably increased the number of studies assessing all key DPN endpoints. Combined high-fat diet and low dose streptozotocin rat models are the most frequently used and well characterised. Overall, we recommend adherence to Neurodiab guidelines for creating better animal models of DPN to accelerate translation and drug development.

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CNS Neuroscience & Therapeutics.2024;[Epub] CrossRef
Compound Qiying Granules alleviates diabetic peripheral neuropathy by inhibiting endoplasmic reticulum stress and apoptosis
Yan Hu, Chen Chen, Zhengting Liang, Tao Liu, Xiaoling Hu, Guanying Wang, Jinxia Hu, Xiaolin Xie, Zhiyan Liu
Molecular Medicine.2023;[Epub] CrossRef
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Ben Niu, Lijing Ma, Lixuan Yao, Yating Zhang, Heng Su
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Biomedicines.2022; 11(1): 20. CrossRef

Complications
Pathophysiologic Mechanisms and Potential Biomarkers in Diabetic Kidney Disease: Chan-Young Jung, Tae-Hyun Yoo; Diabetes Metab J. 2022;46(2):181-197. Published online March 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0329

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Although diabetic kidney disease (DKD) remains the leading cause of end-stage kidney disease eventually requiring chronic kidney replacement therapy, the prevalence of DKD has failed to decline over the past 30 years. In order to reduce disease prevalence, extensive research has been ongoing to improve prediction of DKD onset and progression. Although the most commonly used markers of DKD are albuminuria and estimated glomerular filtration rate, their limitations have encouraged researchers to search for novel biomarkers that could improve risk stratification. Considering that DKD is a complex disease process that involves several pathophysiologic mechanisms such as hyperglycemia induced inflammation, oxidative stress, tubular damage, eventually leading to kidney damage and fibrosis, many novel biomarkers that capture one specific mechanism of the disease have been developed. Moreover, the increasing use of high-throughput omic approaches to analyze biological samples that include proteomics, metabolomics, and transcriptomics has emerged as a strong tool in biomarker discovery. This review will first describe recent advances in the understanding of the pathophysiology of DKD, and second, describe the current clinical biomarkers for DKD, as well as the current status of multiple potential novel biomarkers with respect to protein biomarkers, proteomics, metabolomics, and transcriptomics.

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Jeevika Raina, Atika Firdous, Gurvinder Singh, Rajesh Kumar, Charanjit Kaur
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Frontiers in Immunology.2024;[Epub] CrossRef
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Journal of Ethnopharmacology.2023; 306: 116166. CrossRef
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Soumik Das, Ramanathan Gnanasambandan
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Journal of Clinical Medicine.2023; 12(4): 1447. CrossRef
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Biomolecules.2023; 13(4): 633. CrossRef
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Yiwen Li, Yanfei Liu, Shiwei Liu, Mengqi Gao, Wenting Wang, Keji Chen, Luqi Huang, Yue Liu
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International Journal of Molecular Sciences.2023; 24(11): 9412. CrossRef
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Nam Hoon Kim, Nan Hee Kim
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Partial Synthetic PPARƳ Derivative Ameliorates Aorta Injury in Experimental Diabetic Rats Mediated by Activation of miR-126-5p Pi3k/AKT/PDK 1/mTOR Expression
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Metabolic Risk/Epidemiology
Not Control but Conquest: Strategies for the Remission of Type 2 Diabetes Mellitus: Jinyoung Kim, Hyuk-Sang Kwon; Diabetes Metab J. 2022;46(2):165-180. Published online March 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0377

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A durable normoglycemic state was observed in several studies that treated type 2 diabetes mellitus (T2DM) patients through metabolic surgery, intensive therapeutic intervention, or significant lifestyle modification, and it was confirmed that the functional β-cell mass was also restored to a normal level. Therefore, expert consensus introduced the concept of remission as a common term to express this phenomenon in 2009. Throughout this article, we introduce the recently updated consensus statement on the remission of T2DM in 2021 and share our perspective on the remission of diabetes. There is a need for more research on remission in Korea as well as in Western countries. Remission appears to be prompted by proactive treatment for hyperglycemia and significant weight loss prior to irreversible β-cell changes. T2DM is not a diagnosis for vulnerable individuals to helplessly accept. We attempt to explain how remission of T2DM can be achieved through a personalized approach. It may be necessary to change the concept of T2DM towards that of an urgent condition that requires rapid intervention rather than a chronic, progressive disease. We must grasp this paradigm shift in our understanding of T2DM for the benefit of our patients as endocrine experts.

Citations

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Weight change in patients with new‐onset type 2 diabetes mellitus and its association with remission: Comprehensive real‐world data
Jinyoung Kim, Bongseong Kim, Mee Kyoung Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024; 26(2): 567. CrossRef
Mechanisms and the strategy for remission of type 2 diabetes mellitus
Tien‐Jyun Chang
Journal of Diabetes Investigation.2023; 14(3): 351. CrossRef
Remission of type 2 diabetes: A critical appraisal
Michele Ricci, Juan José Mancebo-Sevilla, Lidia Cobos Palacios, Jaime Sanz-Cánovas, Almudena López-Sampalo, Halbert Hernández-Negrin, Miguel Angel Pérez-Velasco, Luis M. Pérez-Belmonte, Maria Rosa Bernal-López, Ricardo Gómez-Huelgas
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Incidence and predictors of remission and relapse of type 2 diabetes mellitus in Japan: Analysis of a nationwide patient registry (JDDM73)
Kazuya Fujihara, Laymon Khin, Koshiro Murai, Yurie Yamazaki, Kahori Tsuruoka, Noriko Yagyuda, Katsuya Yamazaki, Hiroshi Maegawa, Shiro Tanaka, Satoru Kodama, Hirohito Sone
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Corrigendum

Association between Changes in Anthropometric Indices and in Fasting Insulin Levels among Healthy Korean Adolescents: The JS High School Study: Ji Hye Park, Seyeon Mun, Dong Phil Choi, Joo Young Lee, Hyeon Chang Kim; Diabetes Metab J. 2022;46(1):164-164. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2022.0025; Corrects: Diabetes Metab J 2019;43(2):183

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Response

Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study (Diabetes Metab J 2021;45:675-83): Jun Sung Moon, Sunghwan Suh, Sang Soo Kim, Heung Yong Jin; Diabetes Metab J. 2022;46(1):162-163. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2021.0331

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Letter

Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study (Diabetes Metab J 2021;45:675-83): Tae Jung Oh; Diabetes Metab J. 2022;46(1):160-161. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2021.0309

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Brief Report

Technology/Device
Do-It-Yourself Open Artificial Pancreas System in Children and Adolescents with Type 1 Diabetes Mellitus: Real-World Data: Min Sun Choi, Seunghyun Lee, Jiwon Kim, Gyuri Kim, Sung Min Park, Jae Hyeon Kim; Diabetes Metab J. 2022;46(1):154-159. Published online November 23, 2021; DOI: https://doi.org/10.4093/dmj.2021.0011

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Few studies have been conducted among Asian children and adolescents with type 1 diabetes mellitus (T1DM) using do-it-yourself artificial pancreas system (DIY-APS). We evaluated real-world data of pediatric T1DM patients using DIY-APS. Data were obtained for 10 patients using a DIY-APS with algorithms. We collected sensor glucose and insulin delivery data from each participant for a period of 4 weeks. Average glycosylated hemoglobin was 6.2%±0.3%. The mean percentage of time that glucose level remained in the target range of 70 to 180 mg/dL was 82.4%±7.8%. Other parameters including time above range, time below range and mean glucose were also within the recommended level, similar to previous commercial and DIY-APS studies. However, despite meeting the target range, unadjusted gaps were still observed between the median basal setting and temporary basal insulin, which should be handled by healthcare providers.

Citations

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Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(1): 27. CrossRef
Open-source automated insulin delivery systems (OS-AIDs) in a pediatric population with type 1 diabetes in a real-life setting: the AWeSoMe study group experience
Judith Nir, Marianna Rachmiel, Abigail Fraser, Yael Lebenthal, Avivit Brener, Orit Pinhas-Hamiel, Alon Haim, Eve Stern, Noa Levek, Tal Ben-Ari, Zohar Landau
Endocrine.2023; 81(2): 262. CrossRef
Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial
Mengyun Lei, Beisi Lin, Ping Ling, Zhigu Liu, Daizhi Yang, Hongrong Deng, Xubin Yang, Jing Lv, Wen Xu, Jinhua Yan
BMJ Open.2023; 13(8): e073263. CrossRef
Barriers to Uptake of Open-Source Automated Insulin Delivery Systems: Analysis of Socioeconomic Factors and Perceived Challenges of Caregivers of Children and Adolescents With Type 1 Diabetes From the OPEN Survey
Antonia Huhndt, Yanbing Chen, Shane O’Donnell, Drew Cooper, Hanne Ballhausen, Katarzyna A. Gajewska, Timothée Froment, Mandy Wäldchen, Dana M. Lewis, Klemens Raile, Timothy C. Skinner, Katarina Braune
Frontiers in Clinical Diabetes and Healthcare.2022;[Epub] CrossRef
Toward Personalized Hemoglobin A1c Estimation for Type 2 Diabetes
Namho Kim, Da Young Lee, Wonju Seo, Nan Hee Kim, Sung-Min Park
IEEE Sensors Journal.2022; 22(23): 23023. CrossRef

Short Communication

Type 1 Diabetes
Real-World Analysis of Therapeutic Outcome in Type 1 Diabetes Mellitus at a Tertiary Care Center: Antonia Kietaibl, Michaela Riedl, Latife Bozkurt; Diabetes Metab J. 2022;46(1):149-153. Published online July 6, 2021; DOI: https://doi.org/10.4093/dmj.2020.0267

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Abstract PDF PubReader ePub: Insulin replacement in type 1 diabetes mellitus (T1DM) needs intensified treatment, which can either be performed by multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII). This retrospective analysis of a real-world scenario aimed to evaluate whether glycaemic and cardiovascular risk factors could be controlled with CSII outclass MDI as suggested by recent evidence. Data from patients with either insulin pump (n=68) or injection (n=224) therapy at an Austrian tertiary care centre were analysed between January 2016 and December 2017. There were no significant differences with regard to the latest glycosylated hemoglobin, cardiovascular risk factor control or diabetes-associated late complications. Hypoglycaemia was less frequent (P<0.001), sensor-augmented therapy was more common (P=0.003) and mean body mass index (BMI) was higher (P=0.002) with CSII treatment. This retrospective analysis of real-world data in T1DM did not demonstrate the superiority of insulin pump treatment with regard to glycaemic control or cardiovascular risk factor control.

Original Articles

Metabolic Risk/Epidemiology
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus: So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim; Diabetes Metab J. 2022;46(1):140-148. Published online August 9, 2021; DOI: https://doi.org/10.4093/dmj.2021.0023

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Background
To investigate the association between free fatty acid (FFA) level at mid-pregnancy and large-for-gestational-age (LGA) newborns in women with gestational diabetes mellitus (GDM).
Methods
We enrolled 710 pregnant women diagnosed with GDM from February 2009 to October 2016. GDM was diagnosed by a ‘two-step’ approach with Carpenter and Coustan criteria. We measured plasma lipid profiles including fasting and 2-hour postprandial FFA (2h-FFA) levels at mid-pregnancy. LGA was defined if birthweights of newborns were above the 90th percentile for their gestational age.
Results
Mean age of pregnant women in this study was 33.1 years. Mean pre-pregnancy body mass index (BMI) was 22.4 kg/m². The prevalence of LGA was 8.3% (n=59). Levels of 2h-FFA were higher in women who delivered LGA newborns than in those who delivered non-LGA newborns (416.7 μEq/L vs. 352.5 μEq/L, P=0.006). However, fasting FFA was not significantly different between the two groups. The prevalence of delivering LGA newborns was increased with increasing tertile of 2h-FFA (T1, 4.3%; T2, 9.8%; T3, 10.7%; P for trend <0.05). After adjustment for maternal age, pre-pregnancy BMI, and fasting plasma glucose, the highest tertile of 2h-FFA was 2.38 times (95% confidence interval, 1.11 to 5.13) more likely to have LGA newborns than the lowest tertile. However, there was no significant difference between groups according to fasting FFA tertiles.
Conclusion
In women with GDM, a high 2h-FFA level (but not fasting FFA) at mid-pregnancy is associated with an increasing risk of delivering LGA newborns.

Citations

Citations to this article as recorded by

Advances in free fatty acid profiles in gestational diabetes mellitus
Haoyi Du, Danyang Li, Laura Monjowa Molive, Na Wu
Journal of Translational Medicine.2024;[Epub] CrossRef
Modulation of gut microbiota and lipid metabolism in rats fed high-fat diets by Ganoderma lucidum triterpenoids
Aijun Tong, Weihao Wu, Zhengxin Chen, Jiahui Wen, Ruibo Jia, Bin Liu, Hui Cao, Chao Zhao
Current Research in Food Science.2023; 6: 100427. CrossRef
Fetal Abdominal Obesity Detected at 24 to 28 Weeks of Gestation Persists until Delivery Despite Management of Gestational Diabetes Mellitus (Diabetes Metab J 2021;45:547-57)
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim
Diabetes & Metabolism Journal.2021; 45(6): 970. CrossRef

Metabolic Risk/Epidemiology
Serum Retinol-Binding Protein Levels Are Associated with Nonalcoholic Fatty Liver Disease in Chinese Patients with Type 2 Diabetes Mellitus: A Real-World Study: Zhi-Hui Zhang, Jiang-Feng Ke, Jun-Xi Lu, Yun Liu, Ai-Ping Wang, Lian-Xi Li; Diabetes Metab J. 2022;46(1):129-139. Published online August 10, 2021; DOI: https://doi.org/10.4093/dmj.2020.0222

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Background
The association of serum retinol-binding protein (RBP) levels with nonalcoholic fatty liver disease (NAFLD) remains controversial. Furthermore, few studies have investigated their relationship in type 2 diabetes mellitus (T2DM) patients. Therefore, the aim of the present study was to explore the association between serum RBP levels and NAFLD in Chinese inpatients with T2DM.
Methods
This cross-sectional, real-world study included 2,263 Chinese T2DM inpatients. NAFLD was diagnosed by abdominal ultrasonography. The subjects were divided into four groups based on RBP quartiles, and clinical characteristics were compared among the four groups. The associations of both RBP levels and quartiles with the presence of NAFLD were also analyzed.
Results
After adjustment for sex, age, and diabetes duration, there was a significant increase in the prevalence of NAFLD from the lowest to the highest RBP quartiles (30.4%, 40.0%, 42.4%, and 44.7% for the first, second, third, and fourth quartiles, respectively, P<0.001 for trend). Fully adjusted multiple logistic regression analysis revealed that both increased RBP levels (odds ratio, 1.155; 95% confidence interval, 1.012 to 1.318; P=0.033) and quartiles (P=0.014 for trend) were independently associated with the presence of NAFLD in T2DM patients.
Conclusion
Increased serum RBP levels were independently associated with the presence of NAFLD in Chinese T2DM inpatients. Serum RBP levels may be used as one of the indicators to assess the risk of NAFLD in T2DM patients.

Citations

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The relationship between NAFLD and retinol-binding protein 4 - an updated systematic review and meta-analysis
Rui Hu, Xiaoyue Yang, Xiaoyu He, Guangyao Song
Lipids in Health and Disease.2023;[Epub] CrossRef
Blood lactate levels are associated with an increased risk of metabolic dysfunction-associated fatty liver disease in type 2 diabetes: a real-world study
Yi-Lin Ma, Jiang-Feng Ke, Jun-Wei Wang, Yu-Jie Wang, Man-Rong Xu, Lian-Xi Li
Frontiers in Endocrinology.2023;[Epub] CrossRef
High‐normal unconjugated bilirubin is associated with decreased risk of chronic kidney disease in type 2 diabetes: A real‐world study
Man‐Rong Xu, Chun‐Hua Jin, Jun‐Xi Lu, Mei‐Fang Li, Lian‐Xi Li
Diabetes/Metabolism Research and Reviews.2023;[Epub] CrossRef
Global prevalence of non-alcoholic fatty liver disease in type 2 diabetes mellitus: an updated systematic review and meta-analysis
Elina En Li Cho, Chong Zhe Ang, Jingxuan Quek, Clarissa Elysia Fu, Lincoln Kai En Lim, Zane En Qi Heng, Darren Jun Hao Tan, Wen Hui Lim, Jie Ning Yong, Rebecca Zeng, Douglas Chee, Benjamin Nah, Cosmas Rinaldi Adithya Lesmana, Aung Hlaing Bwa, Khin Maung W
Gut.2023; 72(11): 2138. CrossRef
Serum iron is closely associated with metabolic dysfunction-associated fatty liver disease in type 2 diabetes: A real-world study
Jun-Wei Wang, Chun-Hua Jin, Jiang-Feng Ke, Yi-Lin Ma, Yu-Jie Wang, Jun-Xi Lu, Mei-Fang Li, Lian-Xi Li
Frontiers in Endocrinology.2022;[Epub] CrossRef
Low-normal serum unconjugated bilirubin levels are associated with late but not early carotid atherosclerotic lesions in T2DM subjects
Chun-Hua Jin, Jun-Wei Wang, Jiang-Feng Ke, Jing-Bo Li, Mei-Fang Li, Lian-Xi Li
Frontiers in Endocrinology.2022;[Epub] CrossRef
Waist-to-height ratio is a simple and practical alternative to waist circumference to diagnose metabolic syndrome in type 2 diabetes
Yi-Lin Ma, Chun-Hua Jin, Cui-Chun Zhao, Jiang-Feng Ke, Jun-Wei Wang, Yu-Jie Wang, Jun-Xi Lu, Gao-Zhong Huang, Lian-Xi Li
Frontiers in Nutrition.2022;[Epub] CrossRef
GA/HbA1c ratio is a simple and practical indicator to evaluate the risk of metabolic dysfunction-associated fatty liver disease in type 2 diabetes: an observational study
Jun-Wei Wang, Chun-Hua Jin, Jiang-Feng Ke, Yi-Lin Ma, Yu-Jie Wang, Jun-Xi Lu, Mei-Fang Li, Lian-Xi Li
Diabetology & Metabolic Syndrome.2022;[Epub] CrossRef
Decreased Serum Osteocalcin is an Independent Risk Factor for Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes
Yu-Jie Wang, Chun-Hua Jin, Jiang-Feng Ke, Jun-Wei Wang, Yi-Lin Ma, Jun-Xi Lu, Mei-Fang Li, Lian-Xi Li
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 3717. CrossRef

Complications
Influence of Glucose Fluctuation on Peripheral Nerve Damage in Streptozotocin-Induced Diabetic Rats: Yu Ji Kim, Na Young Lee, Kyung Ae Lee, Tae Sun Park, Heung Yong Jin; Diabetes Metab J. 2022;46(1):117-128. Published online September 9, 2021; DOI: https://doi.org/10.4093/dmj.2020.0275

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Background
It is unclear whether glycemic variability (GV) is a risk factor for diabetic peripheral neuropathy (DPN), and whether control of GV is beneficial for DPN. The purpose of this study was to investigate the effect of GV on peripheral nerve damage by inducing glucose fluctuation in streptozotocin-induced diabetic rats.
Methods
Rats were divided into four groups: normal (normal glucose group [NOR]), diabetes without treatment (sustained severe hyperglycemia group; diabetes mellitus [DM]), diabetes+once daily insulin glargine (stable hyperglycemia group; DM+LAN), and diabetes+once daily insulin glargine with twice daily insulin glulisine (unstable glucose fluctuation group; DM+Lantus [LAN]+Apidra [API]). We measured anti-oxidant enzyme levels and behavioral responses against tactile, thermal, and pressure stimuli in the plasma of rats. We also performed a quantitative comparison of cutaneous and sciatic nerves according to glucose fluctuation.
Results
At week 24, intraepidermal nerve fiber density was less reduced in the insulin-administered groups compared to the DM group (P<0.05); however, a significant difference was not observed between the DM+LAN and DM+LAN+API groups irrespective of glucose fluctuation (P>0.05; 16.2±1.6, 12.4±2.0, 14.3±0.9, and 13.9±0.6 for NOR, DM, DM+LAN, and DM+LAN+API, respectively). The DM group exhibited significantly decreased glutathione levels compared to the insulin-administered groups (2.64±0.10 μmol/mL, DM+LAN; 1.93±0.0 μmol/mL, DM+LAN+API vs. 1.25±0.04 μmol/mL, DM; P<0.05).
Conclusion
Our study suggests that glucose control itself is more important than glucose fluctuation in the prevention of peripheral nerve damage, and intra-day glucose fluctuation has a limited effect on the progression of peripheral neuropathy in rats with diabetes.

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Glucose Fluctuation Inhibits Nrf2 Signaling Pathway in Hippocampal Tissues and Exacerbates Cognitive Impairment in Streptozotocin-Induced Diabetic Rats
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Journal of Diabetes Research.2024; 2024: 1. CrossRef
Artesunate Inhibits Apoptosis and Promotes Survival in Schwann Cells via the PI3K/AKT/mTOR Axis in Diabetic Peripheral Neuropathy
Xin Zhang, Zhifang Liang, Ying Zhou, Fang Wang, Shan Wei, Bing Tan, Yujie Guo
Biological and Pharmaceutical Bulletin.2023; 46(6): 764. CrossRef
The Potential of Glucose Treatment to Reduce Reactive Oxygen Species Production and Apoptosis of Inflamed Neural Cells In Vitro
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PLOS ONE.2023; 18(9): e0289782. CrossRef

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