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Song JW, Huang XY, Huang M, Cui SH, Zhou YJ, Liu XZ, Yan ZH, Ye XJ, Liu K. Abnormalities in spontaneous brain activity and functional connectivity are associated with cognitive impairments in children with type 1 diabetes mellitus. J Neuroradiol 2024; 51:101209. [PMID: 38821316 DOI: 10.1016/j.neurad.2024.101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/21/2024] [Accepted: 05/26/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND It remains unclear whether alterations in brain function occur in the early stage of pediatric type 1 diabetes mellitus(T1DM). We aimed to examine changes in spontaneous brain activity and functional connectivity (FC) in children with T1DM using resting-state functional magnetic resonance imaging (rs-fMRI), and to pinpoint potential links between neural changes and cognitive performance. METHODS In this study, 22 T1DM children and 21 age-, sex-matched healthy controls underwent rs-fMRI. The amplitude of low frequency fluctuations (ALFF) and seed-based FC analysis were performed to examine changes in intrinsic brain activity and functional networks in T1DM children. Partial correlation analyses were utilized to explore the correlations between ALFF values and clinical parameters. RESULTS The ALFF values were significantly lower in the lingual gyrus (LG) and higher in the left medial superior frontal gyrus (MSFG) in T1DM children compared to controls. Subsequent FC analysis indicated that the LG had decreased FC with bilateral inferior occipital gyrus, and the left MSFG had decreased FC with right precentral gyrus, right inferior parietal gyrus and right postcentral gyrus in children with T1DM. The ALFF values of LG were positively correlated with full-scale intelligence quotient and age at disease onset in T1DM children, while the ALFF values of left MSFG were positively correlated with working memory scores. CONCLUSION Our findings revealed abnormal spontaneous activity and FC in brain regions related to visual, memory, default mode network, and sensorimotor network in the early stage of T1DM children, which may aid in further understanding the mechanisms underlying T1DM-associated cognitive dysfunction.
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Affiliation(s)
- Jia-Wen Song
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China
| | - Xiao-Yan Huang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China
| | - Mei Huang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China
| | - Shi-Han Cui
- Department of Radiology, Ningbo No. 2 Hospital, Ningbo 315000, China
| | - Yong-Jin Zhou
- Department of Radiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China
| | - Xiao-Zheng Liu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China
| | - Zhi-Han Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China
| | - Xin-Jian Ye
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China.
| | - Kun Liu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325000, Zhejiang, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325000, China.
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Dolatshahi M, Sanjari Moghaddam H, Saberi P, Mohammadi S, Aarabi MH. Central nervous system microstructural alterations in Type 1 diabetes mellitus: A systematic review of diffusion Tensor imaging studies. Diabetes Res Clin Pract 2023; 205:110645. [PMID: 37004976 DOI: 10.1016/j.diabres.2023.110645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 02/18/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023]
Abstract
AIMS Type 1 diabetes mellitus (T1DM) is a chronic childhood disease with potentially persistent CNS disruptions. In this study, we aimed to systematically review diffusion tensor imaging studies in patients with T1DM to understand the microstructural effects of this entity on individuals' brains METHODS: We performed a systematic search and reviewed the studies to include the DTI studies in individuals with T1DM. The data for the relevant studies were extracted and a qualitative synthesis was performed. RESULTS A total of 19 studies were included, most of which showed reduced FA widespread in optic radiation, corona radiate, and corpus callosum, as well as other frontal, parietal, and temporal regions in the adult population, while most of the studies in the juvenile patients showed non-significant differences or a non-persistent pattern of changes. Also, reduced AD and MD in individuals with T1DM compared to controls and non-significant differences in RD were noted in the majority of studies. Microstructural alterations were associated with clinical profile, including age, hyperglycemia, diabetic ketoacidosis and cognitive performance. CONCLUSION T1DM is associated with microstructural brain alterations including reduced FA, MD, and AD in widespread brain regions, especially in association with glycemic fluctuations and in adult age.
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Affiliation(s)
- Mahsa Dolatshahi
- NeuroImaging Laboratories, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, United States; NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
| | | | - Parastoo Saberi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Soheil Mohammadi
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Hadi Aarabi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padova, Italy.
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Moosaie F, Fatemi Abhari SM, Deravi N, Karimi Behnagh A, Esteghamati S, Dehghani Firouzabadi F, Rabizadeh S, Nakhjavani M, Esteghamati A. Waist-To-Height Ratio Is a More Accurate Tool for Predicting Hypertension Than Waist-To-Hip Circumference and BMI in Patients With Type 2 Diabetes: A Prospective Study. Front Public Health 2021; 9:726288. [PMID: 34692623 PMCID: PMC8529190 DOI: 10.3389/fpubh.2021.726288] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/02/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Anthropometric measures [i.e., body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] have been used as prediction factors for incident hypertension. However, whether any of these measures is superior to another in the matter of accuracy in predicting hypertension in diabetic patients has been controversial. The present prospective study aimed to determine whether WHtR is a more accurate tool for predicting hypertension than WHR and BMI in patients with type 2 diabetes. Methods: The study population consisted of 1,685 normotensive patients with type 2 diabetes. BMI, WHR, and WHtR were assessed at baseline and followed up for hypertension incidence for a mean of 4.8 years. A cox regression analysis was performed to assess the association between anthropometric measures (i.e., BMI, WHR, and WHtR) and incident hypertension during the follow-up period. The area under the ROC curve analysis was performed and optimal cutoff values were calculated for each anthropometric measure for hypertension prediction. Results: WHtR and BMI were significantly associated with an increased incidence of hypertension (HR = 3.296 (0.936–12.857), P < 0.001, and HR = 1.050 (1.030–1.070), P < 0.001, respectively). The discriminative powers for each anthropometric index for hypertension were 0.571 (0.540–0.602) for BMI, 0.518 (0.486–0.550) for WHR, and 0.609 (0.578–0.639) for WHtR. The optimal cutoff points for predicting hypertension in patients with type 2 diabetes were 26.94 (sensitivity = 0.739, specificity = 0.380) for BMI, 0.90 (sensitivity = 0.718, specificity = 0.279) for WHR, and 0.59 (sensitivity = 0.676, specificity = 0.517) for WHtR. Conclusion: WHtR was a more accurate tool for predicting hypertension compared to WHR and BMI in patients with type 2 diabetes.
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Affiliation(s)
- Fatemeh Moosaie
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Niloofar Deravi
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.,Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arman Karimi Behnagh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Sadaf Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Dehghani Firouzabadi
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Soghra Rabizadeh
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Manouchehr Nakhjavani
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), School of Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Yu KKK, Cheing GLY, Cheung C, Kranz GS, Cheung AKK. Gray Matter Abnormalities in Type 1 and Type 2 Diabetes: A Dual Disorder ALE Quantification. Front Neurosci 2021; 15:638861. [PMID: 34163319 PMCID: PMC8215122 DOI: 10.3389/fnins.2021.638861] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 05/07/2021] [Indexed: 12/06/2022] Open
Abstract
Aims/hypothesis: Diabetes mellitus (DM) is associated with comorbid brain disorders. Neuroimaging studies in DM revealed neuronal degeneration in several cortical and subcortical brain regions. Previous studies indicate more pronounced brain alterations in type 2 diabetes mellitus (T2DM) than in type 1 diabetes mellitus (T1DM). However, a comparison of both types of DM in a single analysis has not been done so far. The aim of this meta-analysis was to conduct an unbiased objective investigation of neuroanatomical differences in DM by combining voxel-based morphometry (VBM) studies of T1DM and T2DM using dual disorder anatomical likelihood estimation (ALE) quantification. Methods: PubMed, Web of Science and Medline were systematically searched for publications until June 15, 2020. VBM studies comparing gray matter volume (GMV) differences between DM patients and controls at the whole-brain level were included. Study coordinates were entered into the ALE meta-analysis to investigate the extent to which T1DM, T2DM, or both conditions contribute to gray matter volume differences compared to controls. Results: Twenty studies (comprising of 1,175 patients matched with 1,013 controls) were included, with seven studies on GMV alterations in T1DM and 13 studies on GMV alterations in T2DM. ALE analysis revealed seven clusters of significantly lower GMV in T1DM and T2DM patients relative to controls across studies. Both DM subtypes showed GMV reductions in the left caudate, right superior temporal lobe, and left cuneus. Conversely, GMV reductions associated exclusively with T2DM (>99% contribution) were found in the left cingulate, right posterior lobe, right caudate and left occipital lobe. Meta-regression revealed no significant influence of study size, disease duration, and HbA1c values. Conclusions/interpretation: Our findings suggest a more pronounced gray matter atrophy in T2DM compared to T1DM. The increased risk of microvascular or macrovascular complications, as well as the disease-specific pathology of T2DM may contribute to observed GMV reductions. Systematic Review Registration: [PROSPERO], identifier [CRD42020142525].
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Affiliation(s)
- Kevin K K Yu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.,University Research Facility in Behavioral and Systems Neuroscience (UBSN), The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Gladys L Y Cheing
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.,University Research Facility in Behavioral and Systems Neuroscience (UBSN), The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Charlton Cheung
- Department of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong
| | - Georg S Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.,The State Key Laboratory for Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong.,Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Alex Kwok-Kuen Cheung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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Yaneli N, Fikawati S, Syafiq A, Gemily SC. Faktor yang Berhubungan dengan Konsumsi Energi Ibu Menyusui di Kecamatan Cipayung, Kota Depok, Indonesia. AMERTA NUTRITION 2021. [DOI: 10.20473/amnt.v5i1.2021.84-90] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Latar Belakang: Untuk mendukung kebutuhan gizi yang tinggi saat menyusui, ibu menyusui membutuhkan lebih banyak energi dibandingkan ibu hamil. Namun, berbagai studi melaporkan bahwa konsumsi energi ibu menyusui justru lebih rendah dibandingkan ibu hamil.Tujuan: Mengetahui faktor yang berhubungan dengan konsumsi energi ibu menyusui yang rendah di Kecamatan Cipayung Kota Depok Tahun 2016.Metode: Penelitian ini menganalisis data sekunder dari penelitian eksperimental semu dengan pendekatan kohort prospektif di Kota Depok. Total sampel berjumlah 169 responden. Analisis data pada penelitian ini menggunakan uji chi-square dan uji regresi logistik ganda.Hasil: Konsumsi energi ibu saat hamil merupakan faktor dominan yang berhubungan dengan konsumsi energi ibu saat menyusui setelah dikontrol dengan paritas dan usia ibu. Ibu yang mengonsumsi energi dalam jumlah kurang saat hamil berisiko 3,5 kali lebih besar untuk mengonsumsi energi dalam jumlah kurang saat menyusui.Kesimpulan: Konsumsi energi ibu hamil sangat penting diperhatikan karena selain diperlukan untuk pertumbuhan dan perkembangan janin, sebagai cadangan lemak yang akan digunakan saat menyusui, juga untuk menjamin agar ibu mengonsumsi energi dalam jumlah cukup saat menyusui.
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Liu J, Fan W, Jia Y, Su X, Wu W, Long X, Sun X, Liu J, Sun W, Zhang T, Gong Q, Shi H, Zhu Q, Wang J. Altered Gray Matter Volume in Patients With Type 1 Diabetes Mellitus. Front Endocrinol (Lausanne) 2020; 11:45. [PMID: 32117070 PMCID: PMC7031205 DOI: 10.3389/fendo.2020.00045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/24/2020] [Indexed: 02/05/2023] Open
Abstract
Background and Purpose: Many imaging studies have reported structure alterations in patients with type 1 diabetes mellitus (T1DM) by using voxel-based morphometry (VBM). Nevertheless, the results reported were inconsistent and had not been reviewed quantitatively. Accordingly, the quantitative meta-analysis which including VBM studies of patients with T1DM was conducted. Materials and Methods: The gray matter volume alterations in patients with T1DM was estimated by using the software seed-based d mapping. Meantime, the meta-regression was applied to detect the effects of some demographics and clinical characteristics. Results: Six studies were finally included, which with 6 datasets comprising 414 T1DM patients and 216 healthy controls. The pooled meta-analyses detected that patients with T1DM showed robustly increased gray matter volume in the left dorsolateral superior frontal gyrus and middle frontal gyrus and a decreased gray matter volume in the right lingual gyrus, cerebellum, precuneus, the left inferior temporal gyrus, and middle temporal gyrus. The meta-regression showed that the mean age, the female patient's ratio, duration of illness and HbAlc% for T1DM patients were not linearly related with gray matter alterations. Conclusion: This meta-analysis demonstrates that gray matter volume decreases in T1DM patients were mainly locates in the cortical regions and cerebellum.
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Affiliation(s)
- Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yuxi Jia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaoyun Su
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenjun Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xi Long
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xin Sun
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jie Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wengang Sun
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | | | - Qiyong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Haojun Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- *Correspondence: Haojun Shi
| | - Qing Zhu
- Department of Neurology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Qing Zhu
| | - Jing Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- Jing Wang
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