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Batagov A, Dalan R, Wu A, Lai W, Tan CS, Eisenhaber F. Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients. Health Inf Sci Syst 2023; 11:18. [PMID: 37008895 PMCID: PMC10060506 DOI: 10.1007/s13755-023-00218-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 02/19/2023] [Indexed: 03/31/2023] Open
Abstract
Chronic metabolic diseases arise from changes in metabolic fluxes through biomolecular pathways and gene networks accumulated over the lifetime of an individual. While clinical and biochemical profiles present just real-time snapshots of the patients' health, efficient computation models of the pathological disturbance of biomolecular processes are required to achieve individualized mechanistic insights into disease progression. Here, we describe the Generalized metabolic flux analysis (GMFA) for addressing this gap. Suitably grouping individual metabolites/fluxes into pools simplifies the analysis of the resulting more coarse-grain network. We also map non-metabolic clinical modalities onto the network with additional edges. Instead of using the time coordinate, the system status (metabolite concentrations and fluxes) is quantified as function of a generalized extent variable (a coordinate in the space of generalized metabolites) that represents the system's coordinate along its evolution path and evaluates the degree of change between any two states on that path. We applied GMFA to analyze Type 2 Diabetes Mellitus (T2DM) patients from two cohorts: EVAS (289 patients from Singapore) and NHANES (517) from the USA. Personalized systems biology models (digital twins) were constructed. We deduced disease dynamics from the individually parameterized metabolic network and predicted the evolution path of the metabolic health state. For each patient, we obtained an individual description of disease dynamics and predict an evolution path of the metabolic health state. Our predictive models achieve an ROC-AUC in the range 0.79-0.95 (sensitivity 80-92%, specificity 62-94%) in identifying phenotypes at the baseline and predicting future development of diabetic retinopathy and cataract progression among T2DM patients within 3 years from the baseline. The GMFA method is a step towards realizing the ultimate goal to develop practical predictive computational models for diagnostics based on systems biology. This tool has potential use in chronic disease management in medical practice. Supplementary Information The online version contains supplementary material available at 10.1007/s13755-023-00218-x.
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Affiliation(s)
- Arsen Batagov
- Mesh Bio Pte. Ltd., 10 Anson Rd, #22-02, 079903 Singapore, Singapore
| | - Rinkoo Dalan
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Andrew Wu
- Mesh Bio Pte. Ltd., 10 Anson Rd, #22-02, 079903 Singapore, Singapore
| | - Wenbin Lai
- Mesh Bio Pte. Ltd., 10 Anson Rd, #22-02, 079903 Singapore, Singapore
| | - Colin S. Tan
- Fundus Image Reading Center, National Healthcare Group Eye Institute, Singapore, Singapore
- Tan Tock Seng Hospital, National Healthcare Group Eye Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Frank Eisenhaber
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- School of Biological Science (SBS), Nanyang Technological University, Singapore, Singapore
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Nakahata M, Tanaka-Mizuno S, Yamaguchi F, Takeuchi M, Kawakami K. Does nutritional guidance reduce cardiovascular events in patients with type 2 diabetes mellitus? A retrospective cohort study using a nationwide claims database. Acta Diabetol 2023; 60:1541-1549. [PMID: 37421440 DOI: 10.1007/s00592-023-02147-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/25/2023] [Indexed: 07/10/2023]
Abstract
AIM To examine the effect of nutritional guidance (NG) provided by a registered dietitian under the direction of a physician on the development of subsequent cardiovascular events in patients with early-stage type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS This retrospective cohort study used the JMDC claims database to explore patients aged 18 years or older who first met the diagnostic criteria for T2DM at a health checkup between January 2011 and January 2019. The last day of the observation period was set for 28 February, 2021. Exposure was defined as receiving NG within 180 days of diagnosis of T2DM. The primary outcome was a composite endpoint of coronary artery disease (CAD) and cerebrovascular disease, and the secondary outcomes were each event, and time to event was compared. The propensity score weighting method was used for adjusting the distribution of confounding variables. Cox regression was conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Overall, 31,378 patients met the eligibility criteria at an annual health checkup. 9.6% received NG (n = 3013). Patients who attended ≥ 1 NG after diagnosis had significantly reduced risk of cardiovascular composite (adjusted HR 0.75, 95% CI 0.58-0.97) and cerebrovascular disease (adjusted HR 0.65, 95% CI 0.47-0.90) during approximately 3.3 years of follow-up. In contrast, no difference was observed for CAD. CONCLUSIONS Receiving NG in early-stage diabetes may reduce the incidence of cardiovascular events, especially cerebrovascular events.
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Affiliation(s)
- Misaki Nakahata
- Department of Pharmacoepidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan
| | - Sachiko Tanaka-Mizuno
- Department of Pharmacoepidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan.
- Department of Digital Health and Epidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan.
| | - Fumitaka Yamaguchi
- Department of Pharmacoepidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan
| | - Masato Takeuchi
- Department of Pharmacoepidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan
| | - Koji Kawakami
- Department of Pharmacoepidemiology, Graduate School of Medicine, Kyoto University, Yoshidakonoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan
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Iizuka K, Yabe D. Dietary and Nutritional Guidelines for People with Diabetes. Nutrients 2023; 15:4314. [PMID: 37892390 PMCID: PMC10610139 DOI: 10.3390/nu15204314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
Diabetes is a disease in which lifestyle-based interventions, including recommendations for a healthy diet, play a critical role, and many countries have established their own nutritional guidelines [...].
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Affiliation(s)
- Katsumi Iizuka
- Department of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan
- Food and Nutrition Service Department, Fujita Health University Hospital, Toyoake 470-1192, Japan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan;
- Department of Rheumatology and Clinical Nutrition, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
- Center for One Medicine Innovative Translational Research, Gifu University, Gifu 501-1194, Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kyoto 604-8436, Japan
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Osugi K, Kusunoki Y, Ohigashi M, Kusunoki K, Inoue C, Inoue M, Takagi A, Tsunoda T, Kadoya M, Konishi K, Katsuno T, Koyama H. Association between low-carbohydrate diets and continuous glucose monitoring-derived time in ranges. J Diabetes Investig 2023; 14:659-668. [PMID: 38078864 PMCID: PMC10119912 DOI: 10.1111/jdi.13999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/25/2023] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
AIMS Low-carbohydrate diets have become popular in the general community. The mutual relationship between the percentage of total energy intake from carbohydrates (CHO/E), glycemic control indices, and diabetes complications remains unclear. MATERIALS AND METHODS This cross-sectional study included 177 patients with type 2 diabetes mellitus who regularly visited outpatient clinics. In this study, dietary questionnaires were used to assess the intake ratio of the three macronutrients, and the low-carbohydrate-diet score was calculated. We investigated the association between the low-carbohydrate-diet score, continuous glucose monitoring (CGM)-derived short-term glycemic control indices, and diabetes complications in patients with type 2 diabetes mellitus. RESULTS The results are presented as medians (interquartile ranges) unless otherwise stated. Hemoglobin A1c was 7.1% (6.6-7.7%), CGM-derived time in range (TIR) was 75.3% (62.8-87.0%), body mass index (BMI) was 24.0 (22.1-26.3) kg/m2, and CHO/E was 49.8% (44.8-55.6%). BMI, triglycerides, and CGM-derived time above range decreased significantly with increasing low-carbohydrate-diet scores. However, no significant association was found between the low-carbohydrate-diet score and glycemic control indices, including TIR, mean amplitude of glycemic excursions, and vascular complications of type 2 diabetes mellitus. CONCLUSION Moderate-carbohydrate diets positively impact weight control and lipid metabolism but may have a limited effect on short-term glycemic variability in Japanese patients with type 2 diabetes mellitus.
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Affiliation(s)
- Keiko Osugi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Yoshiki Kusunoki
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
- Kusunoki ClinicNeyagawa, OsakaJapan
| | - Mana Ohigashi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | | | - Chikako Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Maki Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Ayako Takagi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Taku Tsunoda
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Manabu Kadoya
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Kosuke Konishi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Tomoyuki Katsuno
- Department of Occupational Therapy, School of RehabilitationHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Hidenori Koyama
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
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Li T, Guan L, Wang X, Li X, Zhou C, Wang X, Liang W, Xiao R, Xi Y. Relationship Between Dietary Patterns and Chronic Diseases in Rural Population: Management Plays an Important Role in the Link. Front Nutr 2022; 9:866400. [PMID: 35495931 PMCID: PMC9045401 DOI: 10.3389/fnut.2022.866400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022] Open
Abstract
ObjectiveHealth dietary pattern is related with reduced risk of chronic metabolic disease, but the benefits were not fully clear in the Chinese population. The aim of this study was to explore the association between dietary patterns and multiple chronic metabolic diseases in middle-aged and elderly Chinese.MethodsA total of 718 Chinese adults aged ≥ 45 who lived in the Huairou regions of Beijing were included in the present cross-sectional analysis from 2019 to 2020. Dietary data were obtained by food frequency questionnaires (FFQs). Dietary patterns were identified by principal components analysis (PCA). Logistic regression analysis and hierarchical analysis were used to examine the relationship among dietary patterns, health management, and chronic diseases.ResultsFive dietary patterns were discovered in the subjects. The pattern with the higher percentage of energy supply by lipid was a risk factor for hypertension [odds ratio (OR) = 2.067, p = 0.013]. Lower energy intake (OR = 0.512, p = 0.012) and a reasonable ratio of dietary energy supply (OR = 0.506, p = 0.011) were beneficial to diabetes. The substitution of potato for grain might be an effective way of reducing diabetes (OR = 0.372, p < 0.001). The higher intake of high-quality protein was the protective factor for coronary heart disease (CHD; OR = 0.438, p = 0.008). Moderate intervention (OR = 0.185, p = 0.033) and appropriate health education (OR = 0.432, p = 0.016) could greatly subserve the prevention of chronic diseases, especially for hyperlipidemia. Men were more likely to be affected by health education, intervention, and follow-up than women. The prevalence of multimorbidity was higher in women (43.2%) than men (41.5%). The staple food intake and health management were also important factors to prevent multimorbidity.ConclusionDietary pattern with appropriate energy intake, a reasonable source of energy supply, high quality of macronutrients, and moderate management was associated with decreased risk of chronic metabolic diseases. Further studies are needed to clarify the cause–effect relationship between dietary patterns, health management, and chronic diseases and give suggestions to chronic metabolic disease prevention in middle-aged and elderly people in a rural area.
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Affiliation(s)
- Tiantian Li
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Lizheng Guan
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Xuan Wang
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoying Li
- Department of Geriatics, Beijing Jishuitan Hospital, Beijing, China
| | - Cui Zhou
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Xianyun Wang
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Rong Xiao
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
- Rong Xiao
| | - Yuandi Xi
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, China
- Vanke School of Public Health, Tsinghua University, Beijing, China
- *Correspondence: Yuandi Xi
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Tsunemi A, Sato J, Sugimoto S, Iwagaki Y, Enomoto M, Someya Y, Kiya M, Matsuhashi E, Wakabayashi Y, Funayama T, Mita T, Uchida T, Miyatsuka T, Azuma K, Shimizu T, Kanazawa A, Satoh H, Watada H. A Pilot Study of Intervention With a Mobile Application Visualizing the Macronutrient Content for Type 2 Diabetes at a Japanese Center. J Clin Med Res 2021; 13:425-433. [PMID: 34527098 PMCID: PMC8425790 DOI: 10.14740/jocmr4558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 07/23/2021] [Indexed: 11/23/2022] Open
Abstract
Background Estimating the nutritional content of food is essential for self-management in people with type 2 diabetes mellitus, but it is a difficult skill to learn. The aim of this study was to investigate how diabetes management was impacted by the ability of patients to search for items they ate from a database of 26,300 different foods, and to visualize nutritional intake using the Japanese mobile application (app) “Calomeal.” Methods This was a single-arm, single-center, pilot study. Eighteen outpatients with type 2 diabetes mellitus used the “Calomeal” app for 3 months. The primary endpoint was change in hemoglobin A1c (HbA1c). Secondary endpoints were changes in body weight (BW), lipid parameters, and quality of life scores. Results The baseline characteristics of the study subjects were as follows: age: 53.4 ± 7.8 years; male/female ratio: 11/7; HbA1c: 7.9 (7.58 - 8.23)%; and body mass index (BMI): 25.17 (21.63 - 28.59) kg/m2. Significant reductions in HbA1c and BMI were observed over 3 months (HbA1c: 7.9 (7.58 - 8.23)% to 7.6 (7.3 - 8.23)%, P = 0.0410; BMI: 25.17 (21.63 - 28.59) to 24.54 (21.57 - 27.81) kg/m2, P = 0.0057). Reductions in HbA1c and BMI both correlated with decreased carbohydrate intake estimated by the mobile app. Conclusions Japanese patients who used their smartphones to visualize their nutritional intake using the “Calomeal” app demonstrated improved short-term glycemic control and BMI. Although the validity of the results should be tested in future randomized controlled trials, this approach may be a clinical option for improving self-management in Japanese patients with type 2 diabetes mellitus.
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Affiliation(s)
- Asako Tsunemi
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Junko Sato
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Sakae Sugimoto
- Department of Nutrition, Juntendo University Hospital, Tokyo, Japan
| | - Yuko Iwagaki
- Department of Nutrition, Juntendo University Hospital, Tokyo, Japan
| | - Mari Enomoto
- Department of Nutrition, Juntendo University Hospital, Tokyo, Japan
| | - Yuki Someya
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mai Kiya
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Eiko Matsuhashi
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuka Wakabayashi
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takashi Funayama
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomoya Mita
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Toyoyoshi Uchida
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takeshi Miyatsuka
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kosuke Azuma
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomoaki Shimizu
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akio Kanazawa
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroaki Satoh
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Center for Therapeutic Innovations in Diabetes, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Center for Identification of Diabetic Therapeutic Targets, Juntendo University Graduate School of Medicine, Tokyo, Japan
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Fedullo AL, Schiattarella A, Morlando M, Raguzzini A, Toti E, De Franciscis P, Peluso I. Mediterranean Diet for the Prevention of Gestational Diabetes in the Covid-19 Era: Implications of Il-6 In Diabesity. Int J Mol Sci 2021; 22:1213. [PMID: 33530554 DOI: 10.3390/ijms22031213] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 01/21/2021] [Accepted: 01/22/2021] [Indexed: 02/07/2023] Open
Abstract
The aim of this review is to highlight the influence of the Mediterranean Diet (MedDiet) on Gestational Diabetes Mellitus (GDM) and Gestational Weight Gain (GWG) during the COVID-19 pandemic era and the specific role of interleukin (IL)-6 in diabesity. It is known that diabetes, high body mass index, high glycated hemoglobin and raised serum IL-6 levels are predictive of poor outcomes in coronavirus disease 2019 (COVID-19). The immunopathological mechanisms of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection include rising levels of several cytokines and in particular IL-6. The latter is associated with hyperglycemia and insulin resistance and could be useful for predicting the development of GDM. Rich in omega-3 polyunsaturated fatty acids, vitamins, and minerals, MedDiet improves the immune system and could modulate IL-6, C reactive protein and Nuclear Factor (NF)-κB. Moreover, polyphenols could modulate microbiota composition, inhibit the NF-κB pathway, lower IL-6, and upregulate antioxidant enzymes. Finally, adhering to the MedDiet prior to and during pregnancy could have a protective effect, reducing GWG and the risk of GDM, as well as improving the immune response to viral infections such as COVID-19.
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