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  1. The involvement of the central nervous system is a frequent yet underestimated complication of diabetes mellitus. Visual evoked potentials (VEP) are a simple, sensitive, and noninvasive method for detecting ea...

    Authors: Morteza Izadi, Mohammad Javanbakht, Ali Sarafzadeh, Behzad Einollahi, Farzaneh Futuhi, Zahra Vahedi, Shi Zhao, Nematollah Jonaidi-Jafari, Mahboobeh Sadat Hosseini, Javad Hosseini Nejad, Effat Naeimi, Seyed Hassan Saadat, Hadi Esmaeili Gouvarchin Ghaleh, Mozhgan Fazel, Zahra Einollahi and Luca Cegolon
    Citation: Diabetology & Metabolic Syndrome 2023 15:140

    The Correction to this article has been published in Diabetology & Metabolic Syndrome 2023 15:153

  2. Recently, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed to replace non-alcoholic fatty liver disease (NAFLD) to emphasize the pathogenic association between fatty liver disease...

    Authors: Zhihao Wei, Zhe Huang, Zongshuang Song, Wenliu Zhao, Dandan Zhao, Yizhen Tan, Shuohua Chen, Peng Yang, Yun Li and Shouling Wu
    Citation: Diabetology & Metabolic Syndrome 2023 15:137
  3. The evidence on the association between the triglyceride glucose (TyG) index and the risk of death in the general population remains controversial. This study aims to investigate the relationship between the T...

    Authors: Yu Yu, Jing Wang, Ligang Ding, Hao Huang, Sijing Cheng, Yu Deng, Min Gu, Chi Cai, Xiaohui Ning, Xuhua Chen, Hongxia Niu and Wei Hua
    Citation: Diabetology & Metabolic Syndrome 2023 15:136
  4. Many previous studies have reported the association between iron overload (IO) and type 2 diabetes mellitus (T2DM). However, the underlying molecular mechanism is not clear.

    Authors: Xuekui Liu, Xiu Hong, Shiqiang Jiang, Rui Li, Qian Lv, Jie Wang, Xiuli Wang, Manqing Yang, Houfa Geng and Yang Li
    Citation: Diabetology & Metabolic Syndrome 2023 15:134
  5. Despite that several original researchers have investigated the association between neck circumference (NC) and the risk of diabetes mellitus (DM), their results remain controversial. This review aimed to quan...

    Authors: Dandan Li, Yuxin Zhao, Lifang Zhang, Qiqi You, Qingqing Jiang, Xiaoxv Yin and Shiyi Cao
    Citation: Diabetology & Metabolic Syndrome 2023 15:133
  6. To assess the association of pregnancy loss history with an elevated risk of Gestational diabetes mellitus (GDM) and to investigate whether this association was mediated by high-sensitivity C-reactive protein ...

    Authors: Qiong Li, Haixia Wang, Lijun Sun, Peng Wang, Wanjun Yin, Shuangshuang Ma, Ruixue Tao, Jinfang Ge and Peng Zhu
    Citation: Diabetology & Metabolic Syndrome 2023 15:132
  7. To investigate the associations of composite dietary antioxidant index (CDAI) with risk of cardiovascular disease (CVD) mortality among individuals with type 2 diabetes (T2D). This prospective cohort study inc...

    Authors: Chan Yang, Qiangfei Yang, Xi Peng, Xinqiong Li and Guocheng Rao
    Citation: Diabetology & Metabolic Syndrome 2023 15:131
  8. Acylcarnitines play a role in type 2 diabetes mellitus (T2DM), but the relationship between acylcarnitine and diabetic nephropathy was unclear. We aimed to explore the association of acylcarnitine metabolites ...

    Authors: Xuerui Li, Yuyang Miao, Zhongze Fang and Qiang Zhang
    Citation: Diabetology & Metabolic Syndrome 2023 15:130
  9. Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVR...

    Authors: Aijun You, Yaxin Li, Chaonan Shen, Huimin Fan, Jia He, Zhongmin Liu, Qian Xue, Yuzhen Zhang and Liang Zheng
    Citation: Diabetology & Metabolic Syndrome 2023 15:129
  10. Prognostic models in patients living with diabetes allow physicians to estimate individual risk based on medical records and biological results. Clinical risk factors are not always all available to evaluate t...

    Authors: Alexandre Vimont, Sophie Béliard, René Valéro, Henri Leleu and Isabelle Durand-Zaleski
    Citation: Diabetology & Metabolic Syndrome 2023 15:128
  11. Several meta-analyses reported glycemic-lowering effects of cinnamon, while others reported conflicting findings. In the present study, we aimed to perform an umbrella meta-analysis of previous interventional ...

    Authors: Meysam Zarezadeh, Vali Musazadeh, Elaheh Foroumandi, Majid Keramati, Alireza Ostadrahimi and Rania A. Mekary
    Citation: Diabetology & Metabolic Syndrome 2023 15:127
  12. The potential effects of time factor and albuminuria on the morbid alterations in patients with type 2 diabetes (T2D) and COVID-19 are still unclear. We aimed to address the morbid alterations and the potentia...

    Authors: Mohammed Ali Gameil, Rehab Elsayed Marzouk, Ahmed Hassan El-Sebaie and Ahmed Ahmed Ahmed Eldeeb
    Citation: Diabetology & Metabolic Syndrome 2023 15:126
  13. Abnormal lipid metabolism is associated with gestational diabetes mellitus (GDM) in singleton pregnancies. Data were lacking on twin pregnancies with GDM. We explored the association between serum lipid profil...

    Authors: Kexin Zhang, Wei Zheng, Xianxian Yuan, Jia Wang, Ruihua Yang, Yuru Ma, Weiling Han, Junhua Huang, Kaiwen Ma, Puyang Zhang, Lili Xu, Lirui Zhang, Xin Yan, Tengda Chen, Yujie Zhang and Guanghui Li
    Citation: Diabetology & Metabolic Syndrome 2023 15:125
  14. Obesity is a chronic disease resulting from multifactorial causes mainly related to lifestyle (sedentary lifestyle, inadequate eating habits) and to other conditions such as genetic, hereditary, psychological,...

    Authors: Renata Bressan Pepe, Ana Maria Lottenberg, Clarissa Tamie Hiwatashi Fujiwara, Mônica Beyruti, Dennys Esper Cintra, Roberta Marcondes Machado, Alessandra Rodrigues, Natália Sanchez Oliveira Jensen, Ana Paula Silva Caldas, Ariana Ester Fernandes, Carina Rossoni, Fernanda Mattos, João Henrique Fabiano Motarelli, Josefina Bressan, Juliana Saldanha, Lis Mie Masuzawa Beda…
    Citation: Diabetology & Metabolic Syndrome 2023 15:124
  15. Recent evidence suggests increased glucose variability (GV) causes endothelial dysfunction, a central pathology of hypertensive disorders of pregnancy (HDP). We aimed to investigate the association between GV ...

    Authors: Sho Tano, Tomomi Kotani, Takafumi Ushida, Masato Yoshihara, Kenji Imai, Noriyuki Nakamura, Yukako Iitani, Yoshinori Moriyama, Ryo Emoto, Sawako Kato, Shigeru Yoshida, Mamoru Yamashita, Yasuyuki Kishigami, Hidenori Oguchi, Shigeyuki Matsui and Hiroaki Kajiyama
    Citation: Diabetology & Metabolic Syndrome 2023 15:123
  16. The contribution of chronic kidney disease (CKD) to mortality in diabetic patients is unclear. This study aimed to explore the association between diabetics with CKD and mortality in middle-aged and elderly pe...

    Authors: Xihong Liao, Ke Shi, Yumeng Zhang, Xiaoxu Huang, Ning Wang, Ling Zhang and Xiaohuan Zhao
    Citation: Diabetology & Metabolic Syndrome 2023 15:122
  17. Observational studies have reported an inverse association of type 2 diabetes (T2D) with thoracic aortic aneurysm (TAA). However, the causality of the association has not been established yet. The present stud...

    Authors: Yiran Zhang, Yongxin Li, Xiaoyi Dai, Haokai Lin and Liang Ma
    Citation: Diabetology & Metabolic Syndrome 2023 15:120
  18. Long noncoding RNAs (LncRNAs) have been identified to play an important role in diabetes. The aim of the present study was to determine the expression and function of small nucleolar RNA host gene 16 (SNHG16) ...

    Authors: Linjuan Huang, Shengxi Xiong, Hanshuang Liu, Ranran Zhang, Ying Wu and Xiaolei Hu
    Citation: Diabetology & Metabolic Syndrome 2023 15:119
  19. Gestational diabetes mellitus (GDM) represents the main metabolic alteration during pregnancy. The available methods for diagnosing GDM identify women when the disease is established, and pancreatic beta-cell ...

    Authors: Melissa Razo-Azamar, Rafael Nambo-Venegas, Noemí Meraz-Cruz, Martha Guevara-Cruz, Isabel Ibarra-González, Marcela Vela-Amieva, Jaime Delgadillo-Velázquez, Xanic Caraza Santiago, Rafael Figueroa Escobar, Felipe Vadillo-Ortega and Berenice Palacios-González
    Citation: Diabetology & Metabolic Syndrome 2023 15:116
  20. Diabetes is a metabolic disorder of glucose homeostasis in which β cell destruction occurs silently and is detected mainly when symptoms appear. In the last few years, it has emerged a great interest in develo...

    Authors: Teresa María Linares-Pineda, Carolina Gutiérrez-Repiso, Nerea Peña-Montero, María Molina-Vega, Fuensanta Lima Rubio, María Suárez Arana, Francisco J. Tinahones, María José Picón-César and Sonsoles Morcillo
    Citation: Diabetology & Metabolic Syndrome 2023 15:115
  21. Pathophysiological mechanisms underlying sex-based differences in diabetes remain poorly understood. Mitochondrial metabolite methylmalonic acid (MMA) accumulation reflects mitochondrial dysfunction which is i...

    Authors: Shanjie Wang, JunChen Guo, Xiaoxuan Liu, Wei Tian, Yiying Zhang, Ye Wang, Yige Liu, Mingyan E. and Shaohong Fang
    Citation: Diabetology & Metabolic Syndrome 2023 15:114
  22. Sodium-glucose cotransporter-2 (SGLT-2) inhibitors therapies were reported to affect adipose tissue distribution. However, the available evidence about the effect of SGLT-2 inhibitor on adipose tissue is contr...

    Authors: Xianghong Wang, Niujian Wu, Chuanchuan Sun, Donghua Jin and Hongyun Lu
    Citation: Diabetology & Metabolic Syndrome 2023 15:113
  23. The Triglyceride and Glucose (TyG) index has been found to have a strong correlation with the recurrence of acute ischemic stroke (AIS) and poor patient outcomes. Nevertheless, the relationship between the TyG...

    Authors: Jia Wang, Hao Tang, Xiaokun Wang, Jiarong Wu, Jiaqi Gao, Shuang Diao and Yun Wu
    Citation: Diabetology & Metabolic Syndrome 2023 15:112
  24. The purpose of the study was to compare the efficacy of two novel obesity indices, lipid accumulation product (LAP) and visceral adiposity index (VAI), with traditional obesity indices in predicting early-onse...

    Authors: Chen-Ying Lin, Jing-Bo Li, Fan Wu, Jun-Jia Wang, Hao-Hua An, Hui-Na Qiu, Long-Fei Xia, Yao-Shuang Li, Ya-Jie Zhai, Chun-Jun Li and Jing-Na Lin
    Citation: Diabetology & Metabolic Syndrome 2023 15:111
  25. Clinical comparisons of angiotensin receptor–neprilysin inhibitors (ARNI) and sodium–glucose cotransporter 2 inhibitors (SGLT2i) treatment in patients with HFrEF and T2DM are limited. This study evaluated the ...

    Authors: Ming-Lung Tsai, Yuan Lin, Ming-Shyan Lin, Tzu-Hsien Tsai, Ning-I Yang, Chao-Yung Wang, I-Chang Hsieh, Ming-Jui Hung and Tien-Hsing Chen
    Citation: Diabetology & Metabolic Syndrome 2023 15:110
  26. In the general population, metabolic syndrome (MetS) is associated with increased risk of cognitive impairment, including global and specific cognitive domains. These associations are not well studied in patie...

    Authors: Yuqi Yang, Qian Li, Yanjun Long, Jing Yuan and Yan Zha
    Citation: Diabetology & Metabolic Syndrome 2023 15:108
  27. A Mediterranean-style diet (MED) can promote people lengthen the span of life and avoid atherosclerotic cardiovascular disease (ASCVD) in primary prevention. Metabolic syndrome (MetS) can significantly reduce ...

    Authors: Hongxuan Fan, Yongle Wang, Zhaoyu Ren, Xuchang Liu, Jianqi Zhao, Yalin Yuan, Xiaoning Fei, Xiaosu Song, Fengqin Wang and Bin Liang
    Citation: Diabetology & Metabolic Syndrome 2023 15:107
  28. Bilirubin has been found to protect against overt atherosclerotic diseases, but to date, few studies have investigated the effects of bilirubin especially within the normal range on lower limb atherosclerosis....

    Authors: Cui-Chun Zhao, Jun-Wei Wang, Ming-Yun Chen, Jiang-Feng Ke, Mei-Fang Li and Lian-Xi Li
    Citation: Diabetology & Metabolic Syndrome 2023 15:105
  29. Although diabetes is reportedly associated with the occurrence of acute pancreatitis (AP), the risk of AP according to the duration and severity of diabetes is not yet clear. We aimed to investigate the risk o...

    Authors: In Rae Cho, Kyung-Do Han, Sang Hyub Lee, Young Hoon Choi, Kwang Hyun Chung, Jin Ho Choi, Namyoung Park, Min Woo Lee, Woo Hyun Paik, Ji Kon Ryu and Yong-Tae Kim
    Citation: Diabetology & Metabolic Syndrome 2023 15:104
  30. Diabetes with co-existing bone fragility or osteoporosis is common in elderly patients, whereas is frequently underestimated.

    Authors: Chieh-Hua Lu, Chien-Hsing Lee, Li-Wei Wu, Chun-Cheng Liao, Sheng-Chiang Su, Jhih-Syuan Liu, Peng-Fei Li, Chia-Luen Huang, Li-Ju Ho, Chien-Ming Lin, Ming-Hsun Lin, Chun-Yung Chang, Yi-Chen Liu, Chih-Ping Lin, An-Che Cheng and Feng-Chih Kuo
    Citation: Diabetology & Metabolic Syndrome 2023 15:103
  31. Diabetes is one of the chronic conditions with a high burden all around the world. Macrovascular and microvascular involvement are among the common mechanisms by which diabetes can impact patients’ lives. Endo...

    Authors: Amirmohammad Khalaji, Amir Hossein Behnoush, Behrad Saeedian, Shaghayegh Khanmohammadi, Zahra Shokri Varniab and Soheil Peiman
    Citation: Diabetology & Metabolic Syndrome 2023 15:102
  32. Human Islet amyloid polypeptide (hIAPP) from pancreatic β cells in the islet of Langerhans has different physiological functions including inhibiting the release of insulin and glucagon. Type 2 diabetes mellit...

    Authors: Mohammed Alrouji, Hayder M. Al-Kuraishy, Ali I. Al-Gareeb, Athanasios Alexiou, Marios Papadakis, Hebatallah M. Saad and Gaber El-Saber Batiha
    Citation: Diabetology & Metabolic Syndrome 2023 15:101
  33. Diabetes causes impaired microarterial blood flow, demyelination and neuronal damage, which may lead to cochlear damage and vestibular malfunction. Vestibular evoked myogenic potentials (VEMP) is a simple, rep...

    Authors: Jinying Zhang, Lichao Ye, Xuefeng Bai, Yali Huang, Jiayu Lin and Huapin Huang
    Citation: Diabetology & Metabolic Syndrome 2023 15:100
  34. Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS i...

    Authors: Hourfil-Gabin Ntougou Assoumou, Vincent Pichot, Jean-Claude Barthelemy, Sébastien Celle, Arnauld Garcin, Thierry Thomas and Frédéric Roche
    Citation: Diabetology & Metabolic Syndrome 2023 15:98
  35. Arteriosclerosis and non-alcoholic fatty liver disease are major complications of diabetes mellitus. Hyperglycemia, insulin resistance, obesity, and metabolic syndrome are associated with the progression of th...

    Authors: Yuriko Hajika, Yuji Kawaguchi, Kenji Hamazaki and Yasuro Kumeda
    Citation: Diabetology & Metabolic Syndrome 2023 15:97
  36. Proton pump inhibitors (PPIs) are common and widely used for gastrointestinal-related disorders. Lansoprazole is one of PPIs with potential benefits of anti-inflammation, reduced oxidative stress, and anti-dia...

    Authors: Ming-Hsun Lin, Wen‐Tung Wu, Yong-Chen Chen, Tsung-Kun Lin, Yu‐Ching Chou and Chien‐An Sun
    Citation: Diabetology & Metabolic Syndrome 2023 15:96
  37. For patients with diabetes, high-frequency and -amplitude glycemic variability may be more harmful than continuous hyperglycemia; however, there is still a lack of screening indicators that can quickly and eas...

    Authors: Rui Shi, Lei Feng, Yan-Mei Liu, Wen-Bo Xu, Bei-Bei Luo, Ling-Tong Tang, Qian-Ye Bi and Hui-Ying Cao
    Citation: Diabetology & Metabolic Syndrome 2023 15:95
  38. Non-alcoholic fatty liver disease (NAFLD) is associated with atrial fibrillation (AF). Insulin resistance (IR) is the main cause of the high prevalence of AF in NAFLD patients. The triglyceride-glucose index (...

    Authors: Yao Zhang, Leigang Wang, Jiaxin Qi, Bing Yu, Jianqi Zhao, Lin Pang, Wenjing Zhang and Liang Bin
    Citation: Diabetology & Metabolic Syndrome 2023 15:94
  39. Empagliflozin, a sodium–glucose co-transporter 2 inhibitor (SGLT2i), has been reported to significantly reduce the risk of heart failure in multiple clinical studies. However, the underlying mechanisms remain ...

    Authors: Lin Zhang, Heming Zhang, Xiuzhu Xie, Ruping Tie, Xiaolin Shang, Qianqian Zhao, Junjie Xu, Liyuan Jin, Jinying Zhang and Ping Ye
    Citation: Diabetology & Metabolic Syndrome 2023 15:93
  40. As a CGM-derived indicator, ‘time in range’ (TIR) is emerging as a key indicator for accurate assessment of glycaemic control. However, there is few report focusing on the correlation of TIR with albumuria and...

    Authors: Xuguang Jin, Xinyi Yang, Yixin Xu, Jingjing Liang, Chunyan Liu, Qingyu Guo, Wei Wang, Zhouqin Feng, Yanyu Yuan, Hui Zhou, Zhen Zhang, Wenwen Jiang, Yue Liang, Bin Lu, Jiaqing Shao, Yong Zhong…
    Citation: Diabetology & Metabolic Syndrome 2023 15:92
  41. There are few studies and inconsistent findings on the role of sleep-related parameters in the development of metabolic syndrome (MetS) among youths. In this study, we aim to investigate the relationship betwe...

    Authors: Majid Kazemi, Parvin Khalili, Mahsa Kazemi, Hadi Hasani, Marjan Sadeghi and Zahra Jamali
    Citation: Diabetology & Metabolic Syndrome 2023 15:91
  42. Differentiating between type 1 diabetes (T1D) and type 2 diabetes (T2D) can be difficult in adults. The aim of this study was to determine the frequency of diagnostic reclassification from T2D to T1D, the char...

    Authors: Raúl Rodríguez Escobedo, Carmen Lambert, Paula Morales Sánchez, Elías Delgado Álvarez and Edelmiro Menéndez Torre
    Citation: Diabetology & Metabolic Syndrome 2023 15:90
  43. Authors: Fei Chen, Jinping Wang, Xiaoping Chen, Liping Yu, Yali An, Qiuhong Gong, Bo Chen, Shuo Xie, Lihong Zhang, Ying Shuai, Fang Zhao, Yanyan Chen, Guangwei Li and Bo Zhang
    Citation: Diabetology & Metabolic Syndrome 2023 15:88

    The original article was published in Diabetology & Metabolic Syndrome 2023 15:62

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