1
|
Okosun IS. Elevated uric acid level and metabolic syndrome in Non-Hispanic Black American adults. J Diabetes Metab Disord 2025; 24:2. [PMID: 39691855 PMCID: PMC11646972 DOI: 10.1007/s40200-024-01528-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/14/2024] [Indexed: 12/19/2024]
Abstract
Objectives To ascertain the direct and indirect link between elevated uric acid (eUA) and metabolic syndrome (MetSyn) in Non-Hispanic Black (NHB) American adults. Design Structural equation modeling (SEM) was used to disentangle the U.S. National Health and Nutritional Examination Survey (2015-2018 NHANES) dataset and investigate the connection between eUA and components of MetSyn as per the criteria from the National Cholesterol Education Program (NCEP) Adult Treatment Panel III. The association between eUA and MetSyn was determined using odds ratios from sex-specific multivariable logistic regression analysis. The analysis was adjusted for age, physical activity, alcohol use, and smoking. SEM coefficients were used to measure the strength of the link between eUA and MetSyn components. Results NHB American men with eUA had 1.41-fold greater odds of MetSyn, and NHB American women with eUA had 2.70-fold greater odds of MetSyn after adjusting for confounding factors. Elevated uric acid was more strongly and directly linked to abdominal obesity (β = 0.320, p < 0.01) in NHB American men, and with abdominal obesity (β = 0.423, p < 0.01), dyslipidemia (β = 0.151, p < 0.01) and hypertension (β = 0.121, p < 0.01) in NHB American women than between eUA and other components of MetSyn. Conclusions This study's finding linking eUA to MetSyn components in NHB American adults needs reaffirmation through a robust prospective study design. If validated, eUA could help predict and prevent MetSyn in NHB American adults.
Collapse
Affiliation(s)
- Ike S. Okosun
- Department of Population Health Sciences, School of Public Health, Georgia State University, Suite 461 – Urban Life Building, P.O. Box 3984, Atlanta, GA 30302-3984 USA
| |
Collapse
|
2
|
Yang T, Luo L, Luo X, Liu X. Metabolic crosstalk and therapeutic interplay between diabetes and hyperuricemia. Diabetes Res Clin Pract 2025; 224:112204. [PMID: 40294652 DOI: 10.1016/j.diabres.2025.112204] [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: 03/10/2025] [Revised: 04/20/2025] [Accepted: 04/23/2025] [Indexed: 04/30/2025]
Abstract
Hyperuricemia and diabetes mellitus (DM) are prevalent metabolic disorders with high comorbidity, imposing a substantial global public health burden. Their coexistence is not merely additive but synergistic, exacerbating metabolic dysregulation through mechanisms such as insulin resistance and β-cell apoptosis, ultimately establishing a vicious cycle. Both disorders induce acute and chronic damage to vital organs, particularly the cardiovascular, renal systems. Hyperuricemia aggravates diabetic complications, notably diabetic cardiomyopathy, nephropathy and retinopathy via oxidative stress, inflammation, and metabolic dysregulation.Current urate-lowering therapies (ULTs), such as xanthine oxidase inhibitors and urate transporter 1 (URAT1, also known as SLC22A12) antagonists, demonstrate potential benefits in ameliorating diabetic complications but face challenges including safety concerns and dose adjustments. Similarly, several glucose-lowering drugs also exhibit the benefits of improving hyperuricemia. This review summarizes the metabolic crosstalk and therapeutic interplay between hyperuricemia and DM, examines the pathogenic role of uric acid in diabetic complications, and discusses the benefits and challenges of existing ULTs and glucose-lowering drugs in disrupting this cycle of metabolic dysregulation and concurrent organ damage. We hope our findings deepen the comprehension of the intricate metabolic crosstalk between glucose and urate homeostasis, providing novel therapeutic insights for patients with comorbid DM and hyperuricemia.
Collapse
Affiliation(s)
- Tianshu Yang
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030 Hubei, China
| | - Lingyun Luo
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030 Hubei, China; Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan 430030 Hubei, China
| | - Xuelian Luo
- Department of Oncology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
| | - Xiaolei Liu
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030 Hubei, China; Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan 430030 Hubei, China.
| |
Collapse
|
3
|
Sun T, Wang PP, Liu JJ, An Z, Zhao JR, Liu J. Construction and validation of a predictive model for the risk of multidrug-resistant Klebsiella pneumoniae infection based on machine learning algorithms - a multicenter retrospective study. Eur J Clin Microbiol Infect Dis 2025:10.1007/s10096-025-05152-2. [PMID: 40347385 DOI: 10.1007/s10096-025-05152-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Accepted: 04/28/2025] [Indexed: 05/12/2025]
Abstract
OBJECTIVE The development of a reliable predictive model for Multi-drug-resistant Klebsiella pneumoniae (MDR-KP) infections is imperative for the timely identification of at-risk individuals. METHODS This study analyzed data from 3,554 patients with KP infection at multiple hospitals. By comparing six machine learning algorithms (Logistic Regression(LR), Efficient Neural Network (ENet), Decision Tree(DT), MultiLayer Perceptron(MLP), Support Vector Machine(SVM), and Extreme Gradient Boosting(XGBoost)), we constructed and validated the prediction model. Furthermore, the model interpretation was conducted through SHapley Additive exPlanations (SHAP) analysis. Subsequently, nomograms were developed to estimate the risk of MDR-KP infection in hospitalized individuals. Finally, the association between independent variables and the risk of MDR-KP acquisition was elucidated through Restricted Cubic Spline (RCS) analysis. RESULTS The results of the multivariable logistic regression analysis indicated that C-reactive protein (CRP), Uric Acid (UA), Urea, Platelet (PLT), Hemoglobin (HB), Red blood cell counts (RBC), Age, and Gender were identified as independent risk factors. We incorporated these independent risk factors into six machine learning, and found that the XGBoost-based model exhibited superior performance compared to other machine learning algorithms, achieving a recall of 0.732, an F1 score of 0.707, and an AUC of 0.777. Furthermore, the SHAP method highlighted Urea, UA, and PLT as the primary decision factors predicted by the machine learning model, and the RCS analysis revealed a nonlinear relationship between Age, CRP, RBC, HB, UA, UREA, and the risk of MDR-KP infection. CONCLUSION This study has developed an effective risk prediction model for MDR-KP infection. The model has the potential to assist healthcare providers in early identification of high-risk patients, enabling timely implementation of preventive and therapeutic interventions.
Collapse
Affiliation(s)
- Tao Sun
- Department of Hematology and Oncology Laboratory, The Central Hospital of Shaoyang, Shaoyang, Hunan Province, China
| | - Pei-Pei Wang
- Department of Laboratory Medicine, Jiakang Renyi Hospital, Shaoyang, Hunan Province, China
| | - Jun-Ji Liu
- Department of Oncology, The Central Hospital of Shaoyang, Shaoyang, Hunan Province, China
| | - Zhen An
- Department of Hematology and Oncology Laboratory, The Central Hospital of Shaoyang, Shaoyang, Hunan Province, China
| | - Jun-Rong Zhao
- Department of Microbiology Laboratory, Shaoyang Center for Disease Control and Prevention, Shaoyang City, Hunan Province, China.
| | - Jun Liu
- Department of Scientific Research, The First Affiliated Hospital of Shaoyang University, Shaoyang, Hunan Province, China.
| |
Collapse
|
4
|
Shi W, Cai Z, Ren X, Wang J, Zhou H, Chen Z. The relationship between serum uric acid and accelerated aging in middle-aged and older adults: a prospective cohort study based on CHARLS. J Nutr Health Aging 2025; 29:100488. [PMID: 39817994 DOI: 10.1016/j.jnha.2025.100488] [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: 11/21/2024] [Revised: 12/30/2024] [Accepted: 01/08/2025] [Indexed: 01/18/2025]
Abstract
OBJECTIVE This study seeks to determine the association between serum uric acid (SUA) and accelerated aging among middle-aged and older adults in China, as well as assess the relationship between SUA trajectories and the risk of accelerated aging. METHODS We utilized data from the China Health and Retirement Longitudinal Study (CHARLS), selecting middle-aged and older participants who completed follow-ups between 2011 and 2015. Biological age was estimated using the Klemera-Doubal method, and accelerated aging was determined by calculating the difference between an individual's biological age and their chronological age. Logistic regression models were employed to analyze the relationship between baseline SUA levels, their trajectories, and accelerated aging, adjusting for potential confounding factors. RESULTS A total of 3,520 middle-aged and older participants (average age 59.00 years) were included. The results indicated a significant linear positive correlation between SUA levels and the risk of accelerated aging. Compared to the group with the lowest uric acid levels, those with the highest levels had a markedly increased risk of accelerated aging (OR = 1.5, 95% CI: 1.23-1.83, P < 0.001). Further longitudinal analysis suggested that maintaining low level of SUA associated with a significant reduction in the risk of accelerated aging. CONCLUSION This study indicates that elevated SUA levels constitute a risk factor for accelerated aging in middle-aged and older adults. Maintaining SUA at a low-level help to slow down aging. These findings highlight the importance of monitoring SUA levels in this demographic, providing a scientific basis for developing interventions to delay aging.
Collapse
Affiliation(s)
- Weiyi Shi
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Zihong Cai
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Xiaoxu Ren
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Juehan Wang
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Hang Zhou
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China
| | - Zuobing Chen
- Department of Rehabilitation Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310003, China.
| |
Collapse
|
5
|
Mo B, Ding Y, Ji Q. NLRP3 inflammasome in cardiovascular diseases: an update. Front Immunol 2025; 16:1550226. [PMID: 40079000 PMCID: PMC11896874 DOI: 10.3389/fimmu.2025.1550226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Accepted: 02/11/2025] [Indexed: 03/14/2025] Open
Abstract
Cardiovascular disease (CVD) continues to be the leading cause of mortality worldwide. The nucleotide oligomerization domain-, leucine-rich repeat-, and pyrin domain-containing protein 3 (NLRP3) inflammasome is involved in numerous types of CVD. As part of innate immunity, the NLRP3 inflammasome plays a vital role, requiring priming and activation signals to trigger inflammation. The NLRP3 inflammasome leads both to the release of IL-1 family cytokines and to a distinct form of programmed cell death called pyroptosis. Inflammation related to CVD has been extensively investigated in relation to the NLRP3 inflammasome. In this review, we describe the pathways triggering NLRP3 priming and activation and discuss its pathogenic effects on CVD. This study also provides an overview of potential therapeutic approaches targeting the NLRP3 inflammasome.
Collapse
Affiliation(s)
- Binhai Mo
- People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yudi Ding
- First People’s Hospital of Nanning, Nanning, Guangxi, China
| | - Qingwei Ji
- People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| |
Collapse
|
6
|
Waheed YA, Liu J, Almayahe S, Sun D. The role of hyperuricemia in the progression of end-stage kidney disease and its molecular prospective in inflammation and cardiovascular diseases: A general review. Ther Apher Dial 2025. [PMID: 39966090 DOI: 10.1111/1744-9987.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 01/15/2025] [Accepted: 02/06/2025] [Indexed: 02/20/2025]
Abstract
With the ongoing development of the Chinese economy, the occurrence of chronic kidney disease (CKD) has experienced a remarkable upsurge recently, and due to uremia caused by CKD, the number of patients undergoing dialysis has shown a dramatic increase. China has been ranked first in the world for patients undergoing hemodialysis (HD) and peritoneal dialysis (PD) with approximately one million patients across the country. Due to the loss of kidney function caused by CKD, the kidneys tend to lose their ability to excrete uric acid (UA) out of the body; therefore, most patients undergoing dialysis are complicated with hyperuricemia (HUA). HUA is an abnormal disease of purine metabolism, and it's considered a chronic disease. More than 90% of patients suffering from HUA will not show any symptoms on physical examination. According to statistics, if high serum UA is left untreated, 55% of patients will develop severe problems due to the purine crystallization in the body, and the kidneys are the most affected organs by HUA causing renal insufficiency that can promote end-stage kidney disease (ESKD) by activating the renin-angiotensin system (RAS), which will lead to inflammation, arteriosclerosis, cardiovascular diseases (CVD), and other diseases. Lifestyle modifications and pharmacological interventions are the first primary choice for lowering UA, although dialysis will tend to reduce the high UA levels in the blood, drugs are also necessary. This review will summarize the mechanisms and metabolism of UA, the relationship between HUA and ESKD progression, HUA and inflammation, HUA and CVD, and pharmacological treatment of HUA.
Collapse
Affiliation(s)
- Yousuf Abdulkarim Waheed
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Clinical Research Center for Kidney Disease Xuzhou Medical University, Xuzhou, China
| | - Jie Liu
- Department of Nephrology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | | | - Dong Sun
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Clinical Research Center for Kidney Disease Xuzhou Medical University, Xuzhou, China
- Department of Internal Medicine and Diagnostics, Xuzhou Medical University, Xuzhou, China
| |
Collapse
|
7
|
Dharmaraj RB, Thangavel K, Indirajith V, George N, Subramanyan G, Mahendran BS, Gnanamoorthy V, Mohandas NV, Anand V V, George M. Serum Albumin and Uric Acid Levels in Hypertensive Patients: A Cross-Sectional Analysis From Central Tamil Nadu, South India. Cureus 2025; 17:e76766. [PMID: 39897307 PMCID: PMC11786001 DOI: 10.7759/cureus.76766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/31/2024] [Indexed: 02/04/2025] Open
Abstract
Introduction Hypertension represents a significant global health challenge, with an increasing incidence among adults. Despite the prominence of infectious diseases, non-communicable conditions like hypertension remain a silent yet critical health concern. Liver and kidney functions play crucial roles in blood pressure maintenance, with serum albumin and uric acid serving as key metabolic indicators. Objective The primary objective of this study is to analyze the association between serum albumin and uric acid levels in hypertensive patients aged 30-50 years. The secondary objective is to determine whether deranged serum albumin and uric acid levels are associated with other variables like body mass index and blood pressure values. Methods An analytical cross-sectional study was conducted between September and October 2021 at a hospital in Perambalur, Tamil Nadu, India. The study employed non-probability convenient sampling to recruit hypertensive patients aged 30-50 years. Participants with coronary artery disease, stroke, liver disease, renal failure, hyperuricemia, gout, diabetes mellitus, or taking medications that affect albumin or uric acid levels were excluded. Blood pressure measurements were taken after ensuring adequate rest, and 4 ml of venous blood was collected from each participant for biochemical analysis. Serum albumin and uric acid levels were determined using the analyzer. The data analysis was performed using Microsoft Excel and statistical software. The statistical significance of the findings was evaluated using appropriate statistical tests, providing a robust framework for understanding the metabolic associations in hypertension. Results The study population of 150 hypertensive patients demonstrated a majority of 88 (58.67%) aged over 40 years and 62 (41.33%) under 40 years. The gender distribution revealed 87 (58%) males and 63 (42% females). The mean systolic blood pressure was 158.2 mmHg, with a mean diastolic blood pressure of 94.73 mmHg, indicating moderate to severe hypertension. Biochemical analysis showed an average serum uric acid level of 6.41 mg/dL and a mean serum albumin level of 3.54 mg/dL. Statistical analysis revealed a significant association between elevated uric acid levels and decreased serum albumin levels (p < 0.05), suggesting a potential interrelationship between these metabolic markers in hypertensive patients. Conclusion The study establishes hyperuricemia and hypoalbuminemia as significant risk factors for hypertension development or pathogenesis. Early detection of these metabolic derangements may provide opportunities for preventive interventions and potential disease management strategies. The findings emphasize the importance of comprehensive biochemical assessment in understanding and mitigating hypertension risk.
Collapse
Affiliation(s)
- Rock B Dharmaraj
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Kirubakaran Thangavel
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Vijayapriya Indirajith
- Biochemistry, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Neethu George
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Ganesan Subramanyan
- Biochemistry, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Balaji S Mahendran
- Community Medicine, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND
| | - Vibhulagavan Gnanamoorthy
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Neeraj V Mohandas
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Vijay Anand V
- Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, IND
| | - Meera George
- Community Medicine, Family Health Centre, Kumily, IND
| |
Collapse
|
8
|
Liu Y, Li Z, Xu Y, Mao H, Huang N. Uric Acid and Atherosclerosis in Patients with Chronic Kidney Disease: Recent Progress, Mechanisms, and Prospect. KIDNEY DISEASES (BASEL, SWITZERLAND) 2025; 11:112-127. [PMID: 40124130 PMCID: PMC11928073 DOI: 10.1159/000543781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Accepted: 01/16/2025] [Indexed: 03/25/2025]
Abstract
Background Chronic kidney disease (CKD) is a prevalent global health concern, significantly linked to increased cardiovascular morbidity and mortality. Among various risk factors, uric acid (UA) has emerged as a potentially modifiable contributor to cardiovascular complications in CKD patients. Summary Elevated serum uric acid levels frequently occur in individuals with CKD and are associated with the development of atherosclerosis (AS). Uric acid has been demonstrated to exacerbate inflammatory processes, promote oxidative stress, and cause endothelial dysfunction, which are critical factors that drive the formation of atherosclerotic plaques. Furthermore, high uric acid levels can worsen renal function, establishing a detrimental cycle that amplifies cardiovascular risk. Key Messages This review investigates the complex interconnection between UA and AS in patients with CKD, highlighting the underlying mechanisms and therapeutic considerations. A more profound comprehension of this relationship is essential for enhancing cardiovascular health and outcomes in this vulnerable population.
Collapse
Affiliation(s)
- Yuchu Liu
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, Ministry of Health of China, Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Zeyu Li
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, Ministry of Health of China, Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Yuanwen Xu
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, Ministry of Health of China, Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Haiping Mao
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, Ministry of Health of China, Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Naya Huang
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, Ministry of Health of China, Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| |
Collapse
|
9
|
Qin C, Peng L, Liu Y, Zhang X, Miao S, Wei Z, Feng W, Zhang H, Wan C, Yu Y, Lu S, Huang R, Zhang X. Development and Validation of a Nomogram-Based Model to Predict Primary Hypertension Within the Next Year in Children and Adolescents: Retrospective Cohort Study. J Med Internet Res 2024; 26:e58686. [PMID: 39753226 PMCID: PMC11730233 DOI: 10.2196/58686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/25/2024] [Accepted: 10/25/2024] [Indexed: 01/18/2025] Open
Abstract
BACKGROUND Primary hypertension (PH) poses significant risks to children and adolescents. Few prediction models for the risk of PH in children and adolescents currently exist, posing a challenge for doctors in making informed clinical decisions. OBJECTIVE This study aimed to investigate the incidence and risk factors of PH in Chinese children and adolescents. It also aimed to establish and validate a nomogram-based model for predicting the next year's PH risk. METHODS A training cohort (n=3938, between January 1, 2008, and December 31, 2020) and a validation cohort (n=1269, between January 1, 2021, and July 1, 2023) were established for model training and validation. An independent cohort of 576 individuals was established for external validation of the model. The result of the least absolute shrinkage and selection operator regression technique was used to select the optimal predictive features, and multivariate logistic regression to construct the nomogram. The performance of the nomogram underwent assessment and validation through the area under the receiver operating characteristic curve, concordance index, calibration curves, decision curve analysis, clinical impact curves, and sensitivity analysis. RESULTS The PH risk factors that we have ultimately identified include gender (odds ratio [OR] 3.34, 95% CI 2.88 to 3.86; P<.001), age (OR 1.11, 95% CI 1.08 to 1.14; P<.001), family history of hypertension (OR 42.74, 95% CI 23.07 to 79.19; P<.001), fasting blood glucose (OR 6.07, 95% CI 4.74 to 7.78; P<.001), low-density lipoprotein cholesterol (OR 2.03, 95% CI 1.60 to 2.57; P<.001), and uric acid (OR 1.01, 95% CI 1.01 to 1.01; P<.001), while factor breastfeeding (OR 0.04, 95% CI 0.03 to 0.05; P<.001) has been identified as a protective factor. Subsequently, a nomogram has been constructed incorporating these factors. Areas under the receiver operating characteristic curves of the nomogram were 0.892 in the training cohort, 0.808 in the validation cohort, and 0.790 in the external validation cohort. Concordance indexes of the nomogram were 0.892 in the training cohort, 0.808 in the validation cohort, and 0.790 in the external validation cohort. The nomogram has been proven to have good clinical benefits and stability in calibration curves, decision curve analysis, clinical impact curves, and sensitivity analysis. Finally, we observed noteworthy differences in uric acid levels and family history of hypertension among various subgroups, demonstrating a high correlation with PH. Moreover, the web-based calculator of the nomogram was built online. CONCLUSIONS We have developed and validated a stable and reliable nomogram that can accurately predict PH risk within the next year among children and adolescents in primary care and offer effective and cost-efficient support for clinical decisions for the risk prediction of PH.
Collapse
Affiliation(s)
- Chenlong Qin
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
| | - Li Peng
- Department of Endocrinology and Metabolism, the Fourth Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Yun Liu
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
- Department of Information, the First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaoliang Zhang
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Department of Information, the First Affiliated Hospital, Nanjing Medical University, Nanjing, China
- Suqian Hospital, Jiangsu Province Hospital, Suqian, China
| | - Shumei Miao
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Department of Information, the First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Zhiyuan Wei
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Wei Feng
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Hongjian Zhang
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Cheng Wan
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
| | - Yun Yu
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
| | - Shan Lu
- Women and Children Department of the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ruochen Huang
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
| | - Xin Zhang
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, China
- Department of Information, the First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| |
Collapse
|
10
|
Shah AS, Barrientos-Pérez M, Chang N, Fu JF, Hannon TS, Kelsey M, Peña AS, Pinhas-Hamiel O, Urakami T, Wicklow B, Wong J, Mahmud FH. ISPAD Clinical Practice Consensus Guidelines 2024: Type 2 Diabetes in Children and Adolescents. Horm Res Paediatr 2024; 97:555-583. [PMID: 39675348 PMCID: PMC11854986 DOI: 10.1159/000543033] [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: 11/01/2024] [Accepted: 11/23/2024] [Indexed: 12/17/2024] Open
Abstract
Youth-onset type 2 diabetes (T2D) results from genetic, environmental, and metabolic causes that differ among individuals and populations. This chapter builds on the 2022 ISPAD guidelines and summarizes recent advances in the management of T2D in children and adolescents. Updates include diagnostic algorithm for youth with new onset T2D, algorithms and tables for treatment, management, and assessment of comorbidities and complications and recommendations on recently approved pharmacologic therapies for the treatment of youth-onset T2D and management strategies. Youth-onset type 2 diabetes (T2D) results from genetic, environmental, and metabolic causes that differ among individuals and populations. This chapter builds on the 2022 ISPAD guidelines and summarizes recent advances in the management of T2D in children and adolescents. Updates include diagnostic algorithm for youth with new onset T2D, algorithms and tables for treatment, management, and assessment of comorbidities and complications and recommendations on recently approved pharmacologic therapies for the treatment of youth-onset T2D and management strategies.
Collapse
Affiliation(s)
- Amy S. Shah
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and the University of Cincinnati, Cincinnati, OH, USA
| | | | - Nancy Chang
- Center for Endocrinology, Diabetes and Metabolism, Children’s Hospital Los Angeles, Los Angeles, CA, USA
| | - Jun-Fen Fu
- Department of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Tamara S. Hannon
- Division of Endocrinology, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Megan Kelsey
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO, USA
| | - Alexia S. Peña
- Robinson Research Institute and Women’s and Children’s Hospital, The University of Adelaide, North Adelaide, SA, Australia
| | - Orit Pinhas-Hamiel
- Edmond and Lily Safra Children’s Hospital, Sheba Medical Center, Tel-Hashomer, Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Brandy Wicklow
- Division of Endocrinology, Children’s Hospital Research Institute of Manitoba, Winnipeg Children’s Hospital and University of Manitoba, Winnipeg, MB, Canada
| | - Jencia Wong
- Department of Endocrinology, Royal Prince Alfred Hospital and Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Farid H. Mahmud
- Division of Endocrinology, Hospital for Sick Children, Sick Kids Research Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
11
|
Narongkiatikhun P, Park S, Rydin A, Rountree-Jablin C, Choi YJ, Antenor JA, Pyle L, Driscoll L, van Raalte D, Pushea M, Caldwell-McGee A, Ophascharoensuk V, Nadeau K, Tommerdahl K, Johnson RJ, Browne L, Barker AJ, Bjornstad P. Pegloticase-Induced Rapid Uric Acid Lowering and Kidney and Cardiac Health Markers in Youth-Onset Type 2 Diabetes: A Pilot Clinical Trial. Kidney Med 2024; 6:100911. [PMID: 39583178 PMCID: PMC11582406 DOI: 10.1016/j.xkme.2024.100911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2024] Open
Affiliation(s)
- Phoom Narongkiatikhun
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, WA
- Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Sungho Park
- Department of Radiology, Section of Pediatric Radiology, Children’s Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amy Rydin
- Department of Pediatrics, Section of Pediatric Endocrinology, Ascension Health and Dell Children’s Medical Group, Austin, TX
| | - Callie Rountree-Jablin
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO
| | - Ye Ji Choi
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | | | - Laura Pyle
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | - Lynette Driscoll
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | - Daniel van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Centers, Location VUMC, Amsterdam, The Netherlands
| | - Maureen Pushea
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | - Alyssa Caldwell-McGee
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | - Vuddhidej Ophascharoensuk
- Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kristen Nadeau
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, CO
| | - Kalie Tommerdahl
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, WA
| | - Richard J. Johnson
- Division of Nephrology, Rocky Mountain VA Medical Center, Aurora, CO
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Lorna Browne
- Department of Radiology, Section of Pediatric Radiology, Children’s Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alex J. Barker
- Department of Radiology, Section of Pediatric Radiology, Children’s Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Petter Bjornstad
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, WA
- Department of Pediatrics, Division of Endocrinology, University of Washington School of Medicine, Seattle, WA
| |
Collapse
|
12
|
Wang H, Fan JL. Interaction of serum uric acid with overweight on hypertension: findings from the China Health and Nutrition Survey. BMC Cardiovasc Disord 2024; 24:614. [PMID: 39487411 PMCID: PMC11529304 DOI: 10.1186/s12872-024-04287-y] [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: 08/18/2024] [Accepted: 10/22/2024] [Indexed: 11/04/2024] Open
Abstract
BACKGROUND Both serum uric acid (SUA) levels and body mass index (BMI) are recognized as important risk factors for hypertension. The current study aimed to investigate the interaction effects between SUA levels and overweight (defined as BMI ≥ 24 kg/m2 in Chinese) on the incidence of hypertension among Chinese adults. METHODS 1124 hypertensive participants and 7283 non-hypertensive participants, extracted from the China Health and Nutrition Survey (CHNS), were analyzed. Participants were categorized based on their SUA levels and BMI, to investigate the interaction effects between SUA levels and overweight on hypertension. RESULTS In comparison with the reference group (BMI < 24 kg/m2 and in the 1st quintile of SUA), multivariable adjusted analysis demonstrated that the odds ratio (OR) (95% confidence interval, 95% CI) of hypertension for participants with overweight alone was 2.18 (1.41-3.37); for elevated SUA levels alone, the ORs (95% CIs) were 1.57 (1.08-2.30), 1.84 (1.24-2.74), 2.21 (1.47-3.32), and 2.48 (1.55-3.96) across SUA quintiles; and for the combined effect of higher SUA levels and overweight, the ORs (95% CIs) were 3.25 (2.19-4.82), 3.73 (2.51-5.55), 5.17 (3.42-7.80), and 6.21 (4.01-9.60). The relative excess risk due to interaction (RERI) was 3.26 (1.43-5.09) at the 5th quintile of SUA, indicating the presence of additive interaction between overweight and SUA levels on hypertension. CONCLUSION Interaction between SUA levels and overweight on hypertension exists specifically at the highest quintile (Q5, > 6.39 mg/dL) of SUA among Chinese adults. Therefore, strategies to lower SUA levels could be considered as a potential approach to mitigate hypertension risk in overweight individuals within this specific subgroup.
Collapse
Affiliation(s)
- Heng Wang
- Division of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jia-Li Fan
- Division of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| |
Collapse
|
13
|
Sankar SK, P V, S K, Shanmugam R, Kamalakkanan LP, Venugopal V. Effectiveness of heat stress interventions among outdoor workers: a protocol paper. Front Public Health 2024; 12:1477186. [PMID: 39525465 PMCID: PMC11543468 DOI: 10.3389/fpubh.2024.1477186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 10/03/2024] [Indexed: 11/16/2024] Open
Abstract
Introduction Heavy work in scorching temperatures can cause dehydration and heat stress, which can lead to a number of heat-related diseases. Heavy work in intense heat without rest or hydration is the main cause. The "Water, Rest, Shade" (WRS) intervention program for outdoor workers in hot weather reduces heat stress. Methods This study follows a quasi-experimental design involving 250 outdoor workers from both agriculture and brick kilns. To assess the environmental heat exposure levels, Quest Temp 3 M WBGT Monitor will be used. Tympanic temperature, Heart rate (HR), Sweat rate (SwR), and Urine specific gravity (USG) to assess the physiological responses to heat exposure using standard protocols. Blood samples will be collected to measure serum creatinine and calculate Glomerular filtration rate (GFR), and urine samples to measure pH, leucocytes, proteinuria, and hematuria. Then administer a validated and modified HOTHAPS questionnaire to capture the perception data. After the baseline assessments, Categorize the workers into two groups based on the selection criteria and the participants' willingness. Then provide a week-long WRS intervention to the intervention group (IG). The non-intervention group will collect the same data without any intervention to assess the efficacy of the intervention by comparing both groups and measuring outcome indicators. Expected outcome The study will generate much-needed information to raise awareness of the importance of heat stress prevention for outdoor workers. Conclusion This study will demonstrate the effectiveness of an intervention, provide much-needed strategies for reducing heat stress, assess both health impacts and implementation quality, and design comprehensive workplace and labor laws aim to minimise risks to millions of unorganised outdoor workers health.
Collapse
Affiliation(s)
- Sajeeth Kumar Sankar
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Vijayalakshmi P
- Department of Applied Psychology, Faculty of Behavioural and Social Science, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Krishnan S
- Department of Physiology, All India Institute of Medical Sciences, Guwahati, Assam, India
| | - Rekha Shanmugam
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Latha Perumal Kamalakkanan
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Vidhya Venugopal
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| |
Collapse
|
14
|
Jiang Z, Zhu X, Zhao D, Jiang H, Wang X, Su F. Associations between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia: a cross-sectional study. Lipids Health Dis 2024; 23:280. [PMID: 39227876 PMCID: PMC11370097 DOI: 10.1186/s12944-024-02269-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/20/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND AND OBJECTIVE The value of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) assessment in the context of metabolic abnormalities is growing in importance. Nevertheless, the relationship between NHHR and hyperuricemia (HUA) is unknown. This study seeks to investigate the relationship between NHHR and HUA. METHODS The data derived from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) included 7,876 adult participants. The multivariable logistic regression model, subgroup analysis and smooth fitting curve were utilized in order to investigate the association between NHHR and HUA. RESULTS In the fully adjusted model 3, NHHR was significantly associated with HUA. Specifically, participants in the highest quartile of NHHR had 1.95 times higher odds of HUA prevalence compared to those in the lowest quartile [2.95 (2.39, 3.64), P < 0.0001]. Although the overall trend suggested a positive association, further analysis using smooth fitting curves and threshold effect analysis indicated that this association was nonlinear, with an inflection point at 5.8. The positive association persisted across different HUA definitions and after removing outliers. Subgroup analysis showed significant interactions between NHHR and HUA in different races and diabetes statuses. The odds of HUA prevalence were higher among non-diabetic participants [1.40 (1.32, 1.49), P < 0.0001] compared to diabetic participants [1.18 (1.06, 1.32), P = 0.0031]. Mexican Americans had the lowest odds of HUA prevalence [1.09 (0.92, 1.27), P = 0.2413] compared to other races. CONCLUSIONS There is a significant positive association between NHHR and HUA, indicating that NHHR may serve as a potential risk assessment maker for HUA, although further prospective studies are needed for validation.
Collapse
Affiliation(s)
- Zhimeng Jiang
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
- Department of Gastroenterology, Air Force Medical Center, Chinese People's Liberation Army, Beijing, Beijing, 100142, China
| | - Xingyu Zhu
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
- Department of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, Beijing, 100142, China
| | - Donglin Zhao
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
- Department of Gastroenterology, Air Force Medical Center, Chinese People's Liberation Army, Beijing, Beijing, 100142, China
| | - Huixin Jiang
- Graduate School of Kunming, Medical University Haiyuan College, Kunming, 65000, Yunnan Province, China
| | - Xiaoying Wang
- Department of Gastroenterology, Air Force Medical Center, Chinese People's Liberation Army, Beijing, Beijing, 100142, China
| | - Feifei Su
- Department of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, Beijing, 100142, China.
| |
Collapse
|
15
|
Jin S, Zhou R, Gao X, Xiong Y, Zhang W, Qiao H, Wu Y, Jiang S, Fu H. Identification of the effects of alkalinity exposure on the gills of oriental river prawns, Macrobrachium nipponense. BMC Genomics 2024; 25:765. [PMID: 39107708 PMCID: PMC11304644 DOI: 10.1186/s12864-024-10659-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Macrobrachium nipponense is an important commercial freshwater species in China. However, the ability of alkali tolerance of M. nipponense is insufficient to culture in the major saline-alkali water source in China. Thus, it is urgently needed to perform the genetic improvement of alkali tolerance in this species. In the present study, we aimed to analyse the effects of alkali treatment on gills in this species after 96 h alkalinity exposure under the alkali concentrations of 0 mmol/L, 4 mmol/L, 8 mmol/L, and 12 mmol/L through performing the histological observations, measurement of antioxidant enzymes, metabolic profiling analysis, and transcriptome profiling analysis. The results of the present study revealed that alkali treatment stimulated the contents of malondialdehyde, glutathione, glutathione peroxidase in gills, indicating these antioxidant enzymes plays essential roles in the protection of body from the damage, caused by the alkali treatment. In addition, high concentration of alkali treatment (> 8 mmol/L) resulted in the damage of gill membrane and haemolymph vessel, affecting the normal respiratory function of gill. Metabolic profiling analysis revealed that Metabolic pathways, Biosynthesis of secondary metabolites, Biosynthesis of plant secondary metabolites, Microbial metabolism in diverse environments, Biosynthesis of amino acids were identified as the main enriched metabolic pathways of differentially expressed metabolites, which are consistent with the previous publications, treated by the various environmental factors. Transcriptome profiling analyses revealed that the alkali concentration of 12 mmol/L has more regulatory effects on the changes of gene expression than the other alkali concentrations. KEGG analysis revealed that Phagosome, Lysosome, Glycolysis/Gluconeogenesis, Purine Metabolism, Amino sugar and nucleotide sugar metabolism, and Endocytosis were identified as the main enriched metabolic pathways in the present study, predicting these metabolic pathways may be involved in the adaption of alkali treatment in M. nipponense. Phagosome, Lysosome, Purine Metabolism, and Endocytosis are immune-related metabolic pathways, while Glycolysis/Gluconeogenesis, and Amino sugar and nucleotide sugar metabolism are energy metabolism-related metabolic pathways. Quantitative PCR analyses of differentially expressed genes (DEGs) verified the accuracy of the RNA-Seq. Alkali treatment significantly stimulated the expressions of DEGs from the metabolic pathways of Phagosome and Lysosome, suggesting Phagosome and Lysosome play essential roles in the regulation of alkali tolerance in this species, as well as the genes from these metabolic pathways. The present study identified the effects of alkali treatment on gills, providing valuable evidences for the genetic improvement of alkali tolerance in M. nipponense.
Collapse
Affiliation(s)
- Shubo Jin
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, People's Republic of China
| | - Rong Zhou
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, People's Republic of China
| | - Xuanbin Gao
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, People's Republic of China
| | - Yiwei Xiong
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China
| | - Wenyi Zhang
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China
| | - Hui Qiao
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China
| | - Yan Wu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China
| | - Sufei Jiang
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China.
| | - Hongtuo Fu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, People's Republic of China.
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, People's Republic of China.
| |
Collapse
|
16
|
Song S, Cai X, Hu J, Zhu Q, Shen D, Ma H, Zhang Y, Ma R, Zhou P, Yang W, Hong J, Zhang D, Li N. Plasma aldosterone concentrations elevation in hypertensive patients: the dual impact on hyperuricemia and gout. Front Endocrinol (Lausanne) 2024; 15:1424207. [PMID: 39140032 PMCID: PMC11319118 DOI: 10.3389/fendo.2024.1424207] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 07/03/2024] [Indexed: 08/15/2024] Open
Abstract
Background Prior research has highlighted the association between uric acid (UA) and the activation of the renin-angiotensin-aldosterone system (RAAS). However, the specific relationship between aldosterone, the RAAS's end product, and UA-related diseases remains poorly understood. This study aims to clarify the impact of aldosterone on the development and progression of hyperuricemia and gout in hypertensive patients. Methods Our study involved 34534 hypertensive participants, assessing plasma aldosterone concentration (PAC)'s role in UA-related diseases, mainly hyperuricemia and gout. We applied multiple logistic regression to investigate the impact of PAC and used restricted cubic splines (RCS) for examining the dose-response relationship between PAC and these diseases. To gain deeper insights, we conducted threshold analyses, further clarifying the nature of this relationship. Finally, we undertook subgroup analyses to evaluate PAC's effects across diverse conditions and among different subgroups. Results Multivariate logistic regression analysis revealed a significant correlation between the occurrence of hyperuricemia and gout and the elevation of PAC levels. Compared to the first quartile (Q1) group, groups Q2, Q3, and Q4 all exhibited a significantly increased risk of occurrence. Moreover, the conducted RCS analysis demonstrated a significant nonlinear dose-response relationship, especially when PAC was greater than 14 ng/dL, with a further increased risk of hyperuricemia and gout. Finally, comprehensive subgroup analyses consistently reinforced these findings. Conclusion This study demonstrates a close association between elevated PAC levels and the development of UA-related diseases, namely hyperuricemia and gout, in hypertensive patients. Further prospective studies are warranted to confirm and validate this relationship.
Collapse
Affiliation(s)
- Shuaiwei Song
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Xintian Cai
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Junli Hu
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qing Zhu
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Di Shen
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Huimin Ma
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Yingying Zhang
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Rui Ma
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Pan Zhou
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Wenbo Yang
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Jing Hong
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Delian Zhang
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Nanfang Li
- Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- NHC Key Laboratory of Hypertension Clinical Research, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| |
Collapse
|
17
|
Zhang QZ, Zhang JR, Li X, Yin JL, Jin LM, Xun ZR, Xue H, Yang WQ, Zhang H, Qu J, Xing ZK, Wang XM. Fangyukangsuan granules ameliorate hyperuricemia and modulate gut microbiota in rats. Front Immunol 2024; 15:1362642. [PMID: 38745649 PMCID: PMC11091346 DOI: 10.3389/fimmu.2024.1362642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Hyperuricaemia (HUA) is a metabolic disorder characterised by high blood uric acid (UA) levels; moreover, HUA severity is closely related to the gut microbiota. HUA is also a risk factor for renal damage, diabetes, hypertension, and dyslipidaemia; however, current treatments are associated with detrimental side effects. Alternatively, Fangyukangsuan granules are a natural product with UA-reducing properties. To examine their efficacy in HUA, the binding of small molecules in Fangyukangsuan granules to xanthine oxidase (XOD), a key factor in UA metabolism, was investigated via molecular simulation, and the effects of oral Fangyukangsuan granule administration on serum biochemical indices and intestinal microorganisms in HUA-model rats were examined. Overall, 24 small molecules in Fangyukangsuan granules could bind to XOD. Serum UA, creatinine, blood urea nitrogen, and XOD levels were decreased in rats treated with Fangyukangsuan granules compared to those in untreated HUA-model rats. Moreover, Fangyukangsuan granules restored the intestinal microbial structure in HUA-model rats. Functional analysis of the gut microbiota revealed decreased amino acid biosynthesis and increased fermentation of pyruvate into short-chain fatty acids in Fangyukangsuan granule-treated rats. Together, these findings demonstrate that Fangyukangsuan granules have anti-hyperuricaemic and regulatory effects on the gut microbiota and may be a therapeutic candidate for HUA.
Collapse
Affiliation(s)
- Qing-zheng Zhang
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Ji-rui Zhang
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Xue Li
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Jin-long Yin
- Department of Food Science and Engineering, Jilin Business and Technology College, Changchun, Jilin, China
| | - Li-ming Jin
- Key Laboratory of Biotechnology and Bioresources Utilization, Dalian Minzu University, Dalian, China
| | - Zhuo-ran Xun
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Hao Xue
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Wan-qi Yang
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Hua Zhang
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Jingyong Qu
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Zhi-kai Xing
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Xu-min Wang
- College of Life Sciences, Yantai University, Yantai, Shandong, China
| |
Collapse
|
18
|
Jiang C, Ma X, Chen J, Zeng Y, Guo M, Tan X, Wang Y, Wang P, Yan P, Lei Y, Long Y, Law BYK, Xu Y. Development of Serum Lactate Level-Based Nomograms for Predicting Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients. Diabetes Metab Syndr Obes 2024; 17:1051-1068. [PMID: 38445169 PMCID: PMC10913800 DOI: 10.2147/dmso.s453543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024] Open
Abstract
Purpose To establish nomograms integrating serum lactate levels and traditional risk factors for predicting diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients. Patients and methods A total of 570 T2DM patients and 100 healthy subjects were enrolled. T2DM patients were categorized into normal and high lactate groups. Univariate and multivariate logistic regression analyses were employed to identify independent predictors for DKD. Then, nomograms for predicting DKD were established, and the model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA). Results T2DM patients exhibited higher lactate levels compared to those in healthy subjects. Glucose, platelet, uric acid, creatinine, and hypertension were independent factors for DKD in T2DM patients with normal lactate levels, while diabetes duration, creatinine, total cholesterol, and hypertension were indicators in high lactate levels group (P<0.05). The AUC values were 0.834 (95% CI, 0.776 to 0.891) and 0.741 (95% CI, 0.688 to 0.795) for nomograms in both normal lactate and high lactate groups, respectively. The calibration curve demonstrated excellent agreement of fit. Furthermore, the DCA revealed that the threshold probability and highest Net Yield were 17-99% and 0.36, and 24-99% and 0.24 for the models in normal lactate and high lactate groups, respectively. Conclusion The serum lactate level-based nomogram models, combined with traditional risk factors, offer an effective tool for predicting DKD probability in T2DM patients. This approach holds promise for early risk assessment and tailored intervention strategies.
Collapse
Affiliation(s)
- Chunxia Jiang
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Xiumei Ma
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Jiao Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Department of Endocrinology, The Third’s Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, People’s Republic of China
| | - Yan Zeng
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Man Guo
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Xiaozhen Tan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Yuping Wang
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Breast, Thyroid and Vascular Surgery, Traditional Chinese Medicine Hospital Affiliated to Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Peng Wang
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
| | - Pijun Yan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Yi Lei
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Yang Long
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| | - Betty Yuen Kwan Law
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
| | - Yong Xu
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People’s Republic of China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China
| |
Collapse
|
19
|
Erandathi MA, Wang WYC, Mayo M, Lee CC. Comprehensive Factors for Predicting the Complications of DiabetesMellitus: A Systematic Review. Curr Diabetes Rev 2024; 20:e040124225240. [PMID: 38178670 PMCID: PMC11327746 DOI: 10.2174/0115733998271863231116062601] [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: 07/12/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study. METHOD The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records. RESULT Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes. CONCLUSION This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.
Collapse
Affiliation(s)
| | | | | | - Ching-Chi Lee
- National Chen Kung University Hospital, Tainan, Taiwan
| |
Collapse
|
20
|
Wang Y, Lu J. The Management of Diabetes with Hyperuricemia: Can We Hit Two Birds with One Stone? J Inflamm Res 2023; 16:6431-6441. [PMID: 38161355 PMCID: PMC10757772 DOI: 10.2147/jir.s433438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/31/2023] [Indexed: 01/03/2024] Open
Abstract
Serum urate (SU) is an independent predictor for the incidence of diabetes. In current diabetes treatment regimens, there is insufficient appreciation of the importance of hyperuricemia (HU) in disease control and prevention. To summarize the updated knowledge on the effects of SU on β-cell function, insulin resistance and chronic diabetic complications, as well as to evaluate the management of patients with both HU and diabetes, we searched the MEDLINE PubMed database, and included 285 journal articles. An inverted U-shaped relationship between fasting plasma glucose and SU levels was established in this review. Elevated SU levels may enhance the development of chronic diabetic complications, including macrovascular and microvascular dysfunction. Diet and exercise are essential parts of the lifestyle changes necessary for HU and diabetes management. Glucose- and urate-lowering drug selection and combination should be made with the principle of ameliorating, and at least not deteriorating, diabetes and HU. Medical artificial intelligence technology and monitoring systems can help to improve the effectiveness of long-term management of HU and diabetes through digital healthcare. This study comprehensively reviews and provides a scientific and reliable basis for and viewpoints on the clinical management of diabetes and HU.
Collapse
Affiliation(s)
- Yunyang Wang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
| | - Jie Lu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
- Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
- Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
| |
Collapse
|
21
|
Zhang H, Xiu M, Li H, Li M, Xue X, He Y, Sun W, Yuan X, Liu Z, Li X, Merriman TR, Li C. Cadmium exposure dysregulates purine metabolism and homeostasis across the gut-liver axis in a mouse model. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115587. [PMID: 37837700 DOI: 10.1016/j.ecoenv.2023.115587] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 10/08/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
Cadmium (Cd) exposure has been associated with the development of enterohepatic circulation disorders and hyperuricemia, but the possible contribution of chronic low-dose Cd exposure to disease progression is still need to be explored. A mouse model of wild-type mice (WT) and Uox-knockout mice (Uox-KO) to find out the toxic effects of chronic low-dose Cd exposure on liver purine metabolism by liquid chromatography-mass spectrometry (LC-MS) platform and associated intestinal flora. High throughput omics analysis including metabolomics and transcriptomics showed that Cd exposure can cause disruption of purine metabolism and energy metabolism. Cd changes several metabolites associated with purine metabolism (xanthine, hypoxanthine, adenosine, uridine, inosine) and related genes, which are associated with elevated urate levels. Microbiome analysis showed that Cd exposure altered the disturbance of homeostasis in the gut. Uox-KO mice were more susceptible to Cd than WT mice. Our findings extend the understanding of potential toxicological interactions between liver and gut microbiota and shed light on the progression of metabolic diseases caused by Cd exposure.
Collapse
Affiliation(s)
- Hui Zhang
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Meng Xiu
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, China
| | - Hailong Li
- Medical College, Binhai University, Qingdao, China
| | - Maichao Li
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaomei Xue
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yuwei He
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wenyan Sun
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xuan Yuan
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhen Liu
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xinde Li
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Tony R Merriman
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, AL, United States
| | - Changgui Li
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China; Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, China; Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, China.
| |
Collapse
|
22
|
Liu C, Zhang J, Wei X, Shi J, Fang Q, Zhou W, Sun L, Hu Z, Hong J, Gu W, Wang W, Peng Y, Zhang Y. Effects of sleep duration and changes in body mass index on diabetic kidney disease: a prospective cohort study. Front Endocrinol (Lausanne) 2023; 14:1278665. [PMID: 37964958 PMCID: PMC10641014 DOI: 10.3389/fendo.2023.1278665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/06/2023] [Indexed: 11/16/2023] Open
Abstract
Aims To examine the associations of sleep duration and changes in BMI with the onset of diabetic kidney disease (DKD). Materials and methods 2,959 participants with type 2 diabetes were divided into three groups based on sleep duration: short (<7 h/day), intermediate (7-9 h/day), or long (>9 h/day). Changes in BMI during follow-up were trisected into loss, stable, or gain groups. DKD was defined as either the urinary albumin/creatinine ratio (UACR) ≥ 3.39 mg/mmol or the estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m², or both. Cox regression models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs). Results During a mean follow-up of 2.3 years, DKD occurred in 613 participants (20.7%). A J-shaped curve was observed between sleep duration and DKD. Compared to intermediate sleep duration, long sleep duration was associated with higher risks of DKD (HR 1.47; 95% CI: 1.19-1.81). In the joint analyses, compared to participants with intermediate sleep duration and stable BMI, long sleep duration with BMI gain had the highest risks of DKD (HR 2.04; 95% CI: 1.48-2.83). In contrast, short or intermediate sleep duration accompanied by decrease in BMI was associated with a reduced risk of DKD, with HRs of 0.50 (95% CI: 0.31-0.82) and 0.61 (95% CI:0.47-0.80), respectively. Conclusions Long sleep duration is significantly associated with an increased risk of DKD, which is further amplified by obesity or BMI gain. These findings suggest that both proper sleep duration and weight control are essential to preventing DKD.
Collapse
Affiliation(s)
- Cong Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jia Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianhua Fang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiwei Zhou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuomeng Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Peng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
23
|
Dong W, Zhang S, Yan S, Zhao Z, Zhang Z, Gu W. Clinical characteristics of patients with early-onset diabetes mellitus: a single-center retrospective study. BMC Endocr Disord 2023; 23:216. [PMID: 37814295 PMCID: PMC10563342 DOI: 10.1186/s12902-023-01468-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/25/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND The prevalence of diabetes mellitus (DM) is dramatically increasing around the world, and patients are getting younger with changes in living standards and lifestyle. This study summarized and analyzed the clinical characteristics of different types of newly diagnosed diabetes mellitus patients with an onset age between 18 and 40 years to provide clinical evidence for the early diagnosis and treatment of diabetes, reduce short-term and long-term complications and offer scientific and personalized management strategies. METHODS A total of 655 patients newly diagnosed with early-onset diabetes mellitus in the Department of Endocrinology, the First Medical Center of PLA General Hospital from January 2012 to December 2022 were retrospectively enrolled in this study, with an onset age of 18-40 years. Their clinical data were collected and investigated. All patients were divided into two groups according to whether they presented with diabetic microangiopathy. Similarly, patients with early-onset type-2 diabetes were grouped in accordance with whether they had ketosis at the time of diagnosis. Binary logistic regression analysis was performed to analyze risk factors, and receiver-operating characteristic (ROC) analysis was used to explore the predictive value of significant risk factors. RESULTS The findings were as follows: (1) Of 655 enrolled patients, 477 (72.8%) were male and 178 (27.1%) were female, with a mean age of onset of was 29.73 years ± 0.24 SD. (2) The prevalence of early-onset diabetes was gradually increasing. Type-2 diabetes was the most common type of early-onset diabetes (491, 75.0%). The ages of onset of early-onset type-1 diabetes, type-2 diabetes and LADA were mainly 18-24 years, 25-40 years and 33-40 years, respectively. (3) Initial clinical manifestations of early-onset diabetes were classic diabetes symptoms (361, 55.1%), followed by elevated blood glucose detected through medical examination (207, 31.6%). (4) Binary logistic regression analysis suggested that high serum uric acid (UA), a high urinary albumin-to-creatinine ratio (UACR) and diabetic peripheral neuropathy (DPN) were risk factors for microangiopathy in early-onset diabetes patients (P < 0.05). The area under the curve (AUC) on ROC analysis of the combination of UA, UACR and DPN was 0.848, 95% CI was 0.818 ~ 0.875, sensitivity was 73.8% and specificity was 85.9%, which had higher predictive value than those of UA, UACR and DPN separately. (5) Weight loss, high glycosylated hemoglobin (HbA1c) and young onset age were risk factors for ketosis in patients with early-onset type-2 diabetes (P < 0.05). CONCLUSION (1) Men were more likely to have early-onset diabetes than women. (2) Early-onset diabetes patients with high serum uric acid levels, high UACRs and peripheral neuropathy were prone to microangiopathy. Comprehensive evaluation of these risk factors could have higher predictive value in the prediction, diagnosis and treatment of microvascular lesions. (3) Patients with weight loss at onset, high HbA1c and young onset age were more likely to develop ketosis. Attention should be given to the metabolic disorders of these patients.
Collapse
Affiliation(s)
- Wenjing Dong
- Chinese PLA Medical College, Beijing, 100039, China
- Department of Endocrinology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China
- Department of Gerontology, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572013, Hainan, China
| | - Saichun Zhang
- Department of Endocrinology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China
| | - Shiju Yan
- Department of Orthopedics, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572013, Hainan, China
| | - Zhizhuang Zhao
- Department of Gerontology, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572013, Hainan, China
| | - Zengqiang Zhang
- Department of Gerontology, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572013, Hainan, China
| | - Weijun Gu
- Department of Endocrinology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China.
| |
Collapse
|
24
|
McVoy M, Miller D, Bransteter I, Gubitosi-Klug R, Segal T, Surdam J, Sajatovic M, Dusek JA. A self-management plus mind body intervention for adolescents and young adults with type 2 diabetes: Trial design and methodological report. Contemp Clin Trials 2023; 133:107317. [PMID: 37625585 DOI: 10.1016/j.cct.2023.107317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/25/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023]
Abstract
BACKGROUND The onset of type 2 diabetes (T2D) is increasingly common in adolescents and young adults (AYAs). Improving self-management skills and the mental health of this population is important, but understudied. METHODS The goal of this research was to develop a mind-body intervention which could serve as an adjunctive therapy to support AYAs with T2D (INTEND intervention). Toward that end, we used an iterative process, including use of focus groups, advisory board, and cognitive semi-structured interviews with patients, parents of patient and clinical providers, to understand the gaps in the current information provided to AYAs with T2D. Based on the data gathered from the focus groups and interviews, we enhanced an existing self-management intervention for adults with T2D to include an additional mind body intervention for AYAs with T2D. The INTEND intervention will be piloted in a group of AYAs with T2D. RESULTS This report describes the methodology and design of the InterveNTion for Early oNset type 2 Diabetes (INTEND) study. The details of this single arm pre-post pilot feasibility trial are described. DISCUSSION If successful, the INTEND approach has the potential to advance care for vulnerable youth with T2D.
Collapse
Affiliation(s)
- Molly McVoy
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Cleveland Medical Center (UHCMC), USA; Rainbow Babies and Children, UHCMC, USA.
| | | | | | - Rose Gubitosi-Klug
- Case Western Reserve University School of Medicine (CWRU SOM), USA; Rainbow Babies and Children, UHCMC, USA
| | - Tracy Segal
- University Hospitals Connor Whole Health, USA
| | | | - Martha Sajatovic
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Cleveland Medical Center (UHCMC), USA
| | - Jeffery A Dusek
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Connor Whole Health, USA
| |
Collapse
|
25
|
Duan Z, Fu J, Zhang F, Cai Y, Wu G, Ma W, Zhou H, He Y. The association between BMI and serum uric acid is partially mediated by gut microbiota. Microbiol Spectr 2023; 11:e0114023. [PMID: 37747198 PMCID: PMC10581133 DOI: 10.1128/spectrum.01140-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/20/2023] [Indexed: 09/26/2023] Open
Abstract
Obesity is a risk factor for the development of hyperuricemia, both of which were related to gut microbiota. However, whether alterations in the gut microbiota lie in the pathways mediating obesity's effects on hyperuricemia is less clear. Body mass index (BMI) and serum uric acid (SUA) were separately important indicators of obesity and hyperuricemia. Our study aims to investigate whether BMI-related gut microbiota characteristics would mediate the association between BMI and SUA levels. A total of 6,280 participants from Guangdong Gut Microbiome Project were included in this study. Stool samples were collected for 16S rRNA gene sequencing. The results revealed that BMI was significantly and positively associated with SUA. Meanwhile, BMI was significantly associated with the abundance of 102 gut microbial genera, 16 of which were also significantly associated with SUA. The mediation analysis revealed that the association between BMI and SUA was partially mediated by the abundance of Proteobacteria (proportion mediated: 0.94%, P < 0.05). At the genus level, 25 bacterial genera, including Ralstonia, Oscillospira, Faecalibacterium, etc., could also partially mediate the association of BMI with SUA (the highest proportion is mediated by Ralstonia, proportion mediated: 2.76%, P < 0.05). This study provided evidence for the associations among BMI, gut microbiota, and SUA, and the mediation analysis suggested that the association of BMI with SUA was partially mediated by the gut microbiota. IMPORTANCE Using 16S rRNA sequencing analysis, local interpretable machine learning technique analysis and mediation analysis were used to explore the association between BMI with SUA, and the mediating effects of gut microbial dysbiosis in the association were investigated.
Collapse
Affiliation(s)
- Zhuo Duan
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jingxiang Fu
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Feng Zhang
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yijia Cai
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Guangyan Wu
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Hongwei Zhou
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yan He
- Department of Laboratory Medicine, Microbiome Medicine Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Clinical Research Center for Laboratory Medicine, Guangzhou, Guangdong, China
| |
Collapse
|
26
|
Zhang Y, Li Y, Li C, Zhao Y, Xu L, Ma S, Lin F, Xie Y, An J, Wang S. Paeonia × suffruticosa Andrews leaf extract and its main component apigenin 7-O-glucoside ameliorate hyperuricemia by inhibiting xanthine oxidase activity and regulating renal urate transporters. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 118:154957. [PMID: 37478683 DOI: 10.1016/j.phymed.2023.154957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/20/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Hyperuricemia is an important pathological basis of gout and a distinct hazard factor for metabolic syndromes and cardiovascular and chronic renal disease, but lacks safe and effective treatments currently. Paeonia × suffruticosa Andrews leaf effectively reduced serum uric acid in gout patients; however, the material foundation and the mechanism remain unclear. PURPOSE To determine the primary active components and mechanism of P. suffruticosa leaf in hyperuricemic mice. METHODS The chemical constituents of P. suffruticosa leaf was identified using high-performance liquid chromatographic analysis. The anti-hyperuricemic activity of P. suffruticosa leaf extract (12.5, 25, 50, 100, and 200 mg/kg) and its components was evaluated in hyperuricemic mice induced by a high purine diet for 14 days. Then, the urate-lowering effects of apigenin 7-O-glucoside (0.09, 0.18, and 0.36 mg/kg) were assessed in another hyperuricemic mice model built by administrating potassium oxonate and adenine for 4 weeks. The inhibitory effect of apigenin 7-O-glucoside on uric acid production was elucidated by investigating xanthine oxidase activity in vitro and in serum and the liver and through molecular docking. Immunofluorescence and western blot analyses of the expression of renal urate transporter 1 (URAT1), glucose transporter 9 (GLUT9), organic anion transporters 1 (OAT1), and ATP-binding cassette G member 2 (ABCG2) proteins elucidated how apigenin 7-O-glucoside promoted uric acid excretion. RESULTS Six compounds were identified in P. suffruticosa leaf: gallic acid, methyl gallate, oxypaeoniflorin, paeoniflorin, galloylpaeoniflorin, and apigenin 7-O-glucoside. P. suffruticosa leaf extract significantly attenuated increased serum uric acid, creatinine, and xanthine oxidase activity in hyperuricemic mice. Apigenin 7-O-glucoside from P. suffruticosa leaf reduced uric acid, creatinine, and malondialdehyde serum levels, increased superoxide dismutase activity, and partially restored the spleen coefficient in hyperuricemic mice. Apigenin 7-O-glucoside inhibited xanthine oxidase activity in vitro and decreased serum and liver xanthine oxidase activity and liver xanthine oxidase protein expression in hyperuricemic mice. Molecular docking revealed that apigenin 7-O-glucoside bound to xanthine oxidase. Apigenin 7-O-glucoside facilitated uric acid excretion by modulating the renal urate transporters URAT1, GLUT9, OAT1, and ABCG2. Apigenin 7-O-glucoside protected against renal damage and oxidative stress caused by hyperuricemia by reducing serum creatinine, blood urea nitrogen, malondialdehyde, and renal reactive oxygen species levels; increasing serum and renal superoxide dismutase activity; restoring the renal coefficient; and reducing renal pathological injury. CONCLUSION Apigenin 7-O-glucoside is the main urate-lowering active component of P. suffruticosa leaf extract in the hyperuricemic mice. It suppressed liver xanthine oxidase activity to decrease uric acid synthesis and modulated renal urate transporters to stimulate uric acid excretion, alleviating kidney damage caused by hyperuricemia.
Collapse
Affiliation(s)
- Yan Zhang
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Yao Li
- School of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi 712046, China
| | - Chang Li
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Yani Zhao
- Xi'an Encephalopathy Hospital of Traditional Chinese Medicine, Xi'an, Shaanxi 710000, China
| | - Lu Xu
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Shanbo Ma
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Fen Lin
- Research and Development Department, Shaanxi Fengdan Zhengyuan Biotechnology Limited Company, Xi'an, Shaanxi 710076, China
| | - Yanhua Xie
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Junming An
- Department of Acupuncture, Xi'an Hospital of Traditional Chinese Medicine, Xi'an, Shaanxi 710021, China.
| | - Siwang Wang
- The College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
| |
Collapse
|
27
|
Wang X, Liu X, Gao Q, Gu X, Zhang G, Sheng Z, Wu T, Su Z, Wang W, Ye M. Gegen Qinlian Decoction treatment of asymptomatic hyperuricemia by targeting circadian immune function. Chin Med 2023; 18:77. [PMID: 37370132 DOI: 10.1186/s13020-023-00775-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/20/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND The Gegen Qinlian Decoction (GGQLD) is a renowned traditional Chinese medicinal formula that has been used for centuries to effectively treat asymptomatic Hyperuricemia (HUA). This study aims to investigate the underlying mechanism of GGQLD's therapeutic effects on HUA. METHODS The study enrolled a total of 25 healthy participants and 32 middle-aged and elderly individuals with asymptomatic HUA. All asymptomatic HUA participants were treated with GGQLD. Venous blood samples were collected from all participants to isolate peripheral blood mononuclear cells (PBMCs), which were then analyzed for biological profiles using flow cytometry. Network pharmacology analysis was utilized to identify the potential pathways involved in the therapeutic effects of GGQLD. Transcriptomic patterns of cultured proximal tubule epithelial cells (PTECs) were evaluated via bulk RNA-seq, and critical differentially expressed genes (DEGs) were identified and verified through ELISA. Molecular docking and molecular dynamics (MD) simulation were employed to investigate the potential compounds in GGQLD that may be involved in treating HUA. RESULTS Network pharmacology analysis revealed that immune-related pathways might be involved in the therapeutic mechanism of GGQLD. RNA-seq analysis confirmed the involvement of innate lymphoid cell (ILC) development-related genes and clock genes. Polychromatic flow cytometric analysis demonstrated that GGQLD treatment reduced the proportion of ILC3s in total ILCs in asymptomatic HUA patients. ELISA results showed that GGQLD treatment reduced the levels of activating factors, such as ILC3-IL-18 and IL-1β, in the plasma of HUA patients. GGQLD was also found to regulate circadian clock gene expression in PBMCs to treat asymptomatic HUA. Furthermore, the interaction between 40 compounds in GGQLD and HDAC3 (Histone Deacetylase 3), NLRP3 (NOD-like receptor protein 3), RORA (RAR-related orphan receptor A), and REV-ERBα (nuclear receptor subfamily 1) revealed that GGQLD may regulate ILCs and clock genes to treat asymptomatic HUA. CONCLUSIONS The regulation of circadian clock gene expression and the proportion of ILC cells may be involved in the therapeutic effects of GGQLD on asymptomatic HUA patients.
Collapse
Affiliation(s)
- Xiaojun Wang
- Department of Traditional Chinese Medicine, Huadong Hospital Affiliated to Fudan University, No 221West Yan-An Road, Shanghai, 200040, China
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, No 221 West Yan-An Road, Shanghai, 200040, China
| | - Xuanqi Liu
- Department of Respiratory and Critical Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China
| | - Qiushuang Gao
- China Pharmaceutical University, Nanjing, 210009, China
| | - Xuchao Gu
- Department of Traditional Chinese Medicine, Huadong Hospital Affiliated to Fudan University, No 221West Yan-An Road, Shanghai, 200040, China
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, No 221 West Yan-An Road, Shanghai, 200040, China
| | - Guannan Zhang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Zhiyuan Sheng
- Department of Urology, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China
| | - Tao Wu
- Department of Traditional Chinese Medicine, Huadong Hospital Affiliated to Fudan University, No 221West Yan-An Road, Shanghai, 200040, China
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, No 221 West Yan-An Road, Shanghai, 200040, China
| | - Zheling Su
- Department of Nephrology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
| | - Wenhao Wang
- Department of Traditional Chinese Medicine, Huadong Hospital Affiliated to Fudan University, No 221West Yan-An Road, Shanghai, 200040, China.
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, No 221 West Yan-An Road, Shanghai, 200040, China.
| | - Maoqing Ye
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, No 221 West Yan-An Road, Shanghai, 200040, China.
- Department of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China.
| |
Collapse
|
28
|
Zhu B, Cao M, Wu Q, Liu K, Guo W, Zhao Z. Exploring the Association between Low-dose Aspirin Intake and Hyperuricemia in Individuals over 40: A Cross-Sectional Study using NHANES Data (2011-2018). Med Sci Monit 2023; 29:e939546. [PMID: 37282368 PMCID: PMC10626991 DOI: 10.12659/msm.939546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/22/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Long-term aspirin treatment was recommended for secondary prevention of cardiovascular and cerebrovascular disease. However, some studies reveal low-dose aspirin (LDA) can raise serum uric acid (SUA) levels. Thus, the purpose of this study was to analyze whether LDA intake is associated with hyperuricemia. MATERIAL AND METHODS Data was collected from the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2018. All participants over 40 years old and who selected "preventive aspirin use" were included in the study. Logistic regression analyses were used to evaluate the relationship between LDA intake and hyperuricemia. The stratified analysis was based on race and estimated glomerular filtration rate (eGFR). RESULTS A total of 3540 participants were included in the study. Of them, 805 (22.7%) took LDA, and 190 (31.6%) had hyperuricemia. There was no significant association between hyperuricemia and LDA intake (OR=1.22, 95% CI: 0.97-1.54) after adjusting for confounding factors. However, further subgroup analysis by age showed a significant association between LDA intake and hyperuricemia (OR=3.44, 95% CI: 1.88-6.27) among those 40 to 50 years of age. After adjusting for confounding factors, the relationship was still significant (OR=2.28, 95% CI: 1.10-4.73); we also found that race (Hispanic American, OR=1.84, 95% CI: 1.11-3.06) and eGFR under 60 mL/min/1.73 m² (OR=1.94, 95% CI: 1.04-3.62) may play important roles in the development of hyperuricemia. CONCLUSIONS LDA does not increase the hyperuricemia risk in people over 40 years. However, those aged between 40 and 50 years, Hispanic American, and with impaired renal function should have careful evaluation during LDA treatment.
Collapse
Affiliation(s)
- Bin Zhu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - MingNan Cao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Qiao Wu
- Infectious Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Kejia Liu
- DHC Mediway Technology Co Ltd., Beijing, PR China
| | - Wei Guo
- Department of Emergency, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| |
Collapse
|
29
|
Tommerdahl KL, Kula AJ, Bjornstad P. Pharmacological management of youth with type 2 diabetes and diabetic kidney disease: a comprehensive review of current treatments and future directions. Expert Opin Pharmacother 2023; 24:913-924. [PMID: 37071054 PMCID: PMC10198950 DOI: 10.1080/14656566.2023.2203319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 04/12/2023] [Indexed: 04/19/2023]
Abstract
INTRODUCTION Diabetic kidney disease (DKD) is a leading cause of mortality in people with type 2 diabetes (T2D), and over 50% of individuals with youth-onset T2D will develop DKD as a young adult. Diagnosis of early-onset DKD remains a challenge in young persons with T2D secondary to a lack of available biomarkers for early DKD, while the injuries may still be reversible. Furthermore, multiple barriers exist to initiate timely prevention and treatment strategies for DKD, including a lack of Food and Drug Administration approval of medications in pediatrics; provider comfort with medication prescription, titration, and monitoring; and medication adherence. AREAS COVERED Therapies that have promise for slowing DKD progression in youth with T2D include metformin, renin-angiotensin-aldosterone system inhibitors, glucagon-like peptide-1 receptor agonists, sodium glucose co-transporter 2 inhibitors, thiazolidinediones, sulfonylureas, endothelin receptor agonists, and mineralocorticoid antagonists. Novel agents are also in development to act synergistically on the kidneys with the aforementioned medications. We comprehensively review the available pharmacologic strategies for DKD in youth-onset T2D including mechanisms of action, potential adverse effects, and kidney-specific effects, with an emphasis on published pediatric and adult trials. EXPERT OPINION Large clinical trials evaluating pharmacologic interventions targeting the treatment of DKD in youth-onset T2D are strongly needed.
Collapse
Affiliation(s)
- Kalie L. Tommerdahl
- Department of Pediatrics, Section of Pediatric Endocrinology, Children’s Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
- Ludeman Family Center for Women’s Health Research, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Alexander J. Kula
- Department of Pediatrics, Section of Pediatric Nephrology, Lurie Children’s Hospital and Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Petter Bjornstad
- Department of Pediatrics, Section of Pediatric Endocrinology, Children’s Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Ludeman Family Center for Women’s Health Research, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| |
Collapse
|
30
|
Wang L, Liu H, Wang D, Huang X, Hong X, Wang Y, Li P, Bao K, Zhao D. The correlation between dietary inflammatory index and risk of hyperuricemia in the U.S. population. Medicine (Baltimore) 2023; 102:e33374. [PMID: 37335705 PMCID: PMC10194510 DOI: 10.1097/md.0000000000033374] [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: 02/01/2023] [Accepted: 03/07/2023] [Indexed: 06/21/2023] Open
Abstract
The dietary inflammatory index (DII) has been reported to be related to chronic diseases as a novel inflammatory marker. However, the correlation between DII score and hyperuricemia in adults in the United States is still unclear. Therefore, our goal was to explore the correlation between them. A total of 19,004 adults were enrolled in the National Health and Nutrition Examination Survey from 2011 to 2018. DII score was calculated according to 28 dietary items obtained by 24-hour dietary interview data. Hyperuricemia was defined by serum uric acid level. We used multilevel logistic regression models and subgroup analysis to determine whether the 2 were associated. DII scores were positively associated with serum uric acid and the risk of hyperuricemia. Per unit increased in DII score was associated with a 3 mmol/L increase in serum uric acid in males (β 3.00, 95% confidence interval (CI) 2.05-3.94) and 0.92mmol/L in females (β 0.92, 95% CI 0.07-1.77), respectively. Compared with the lowest tertile of DII score, the rise of DII grade increased the risk of hyperuricemia among the whole participants (T2: odds ratio (OR) 1.14, 95% CI 1.03, 1.27; T3: OR 1.20 [1.07, 1.34], P for trend = .0012) and males [T2: 1.15 (0.99, 1.33), T3: 1.29 (1.11, 1.50), P for trend = .0008]. For females, the correlation between DII score and hyperuricemia was statistically significant in the subgroup stratified by body mass index (BMI) (BMI < 30, OR 1.08, 95% CI 1.02-1.14, P for interaction = .0134), which indicates that the association depends on BMI. In the United States male population, the DII score has a positive correlation with hyperuricemia. Anti-inflammatory dietary intake can be beneficial for lower serum uric acid.
Collapse
Affiliation(s)
- Lijuan Wang
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Huoliang Liu
- The Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dan Wang
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoyan Huang
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Xiaofan Hong
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Yi Wang
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ping Li
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Kun Bao
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Daixin Zhao
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| |
Collapse
|
31
|
Bjornstad P, Chao LC, Cree-Green M, Dart AB, King M, Looker HC, Magliano DJ, Nadeau KJ, Pinhas-Hamiel O, Shah AS, van Raalte DH, Pavkov ME, Nelson RG. Youth-onset type 2 diabetes mellitus: an urgent challenge. Nat Rev Nephrol 2023; 19:168-184. [PMID: 36316388 PMCID: PMC10182876 DOI: 10.1038/s41581-022-00645-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) and its complications are increasing worldwide. Youth-onset T2DM has been reported in all racial and ethnic groups, but Indigenous peoples and people of colour are disproportionately affected. People with youth-onset T2DM often have a more aggressive clinical course than those with adult-onset T2DM or those with type 1 diabetes mellitus. Moreover, the available treatment options for children and adolescents with T2DM are more limited than for adult patients. Intermediate complications of youth-onset T2DM, such as increased albuminuria, often develop in late childhood or early adulthood, and end-stage complications, including kidney failure, develop in mid-life. The increasing frequency, earlier onset and greater severity of childhood obesity in the past 50 years together with increasingly sedentary lifestyles and an increasing frequency of intrauterine exposure to diabetes are important drivers of the epidemic of youth-onset T2DM. The particularly high risk of the disease in historically disadvantaged populations suggests an important contribution of social and environmental factors, including limited access to high-quality health care, healthy food choices and opportunities for physical activity as well as exposure to stressors including systemic racism and environmental pollutants. Understanding the mechanisms that underlie the development and aggressive clinical course of youth-onset T2DM is key to identifying successful prevention and management strategies.
Collapse
Affiliation(s)
| | - Lily C Chao
- Children's Hospital Los Angeles, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | | | - Allison B Dart
- Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, Canada
| | - Malcolm King
- University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada
| | - Helen C Looker
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Monash University, School of Public Health and Preventive Medicine, Melbourne, Australia
| | | | - Orit Pinhas-Hamiel
- Paediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Amy S Shah
- Cincinnati Children's Hospital and The University of Cincinnati, Cincinnati, OH, USA
| | | | - Meda E Pavkov
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert G Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA.
| |
Collapse
|
32
|
Schaub JA, AlAkwaa FM, McCown PJ, Naik AS, Nair V, Eddy S, Menon R, Otto EA, Demeke D, Hartman J, Fermin D, O’Connor CL, Subramanian L, Bitzer M, Harned R, Ladd P, Pyle L, Pennathur S, Inoki K, Hodgin JB, Brosius FC, Nelson RG, Kretzler M, Bjornstad P. SGLT2 inhibitors mitigate kidney tubular metabolic and mTORC1 perturbations in youth-onset type 2 diabetes. J Clin Invest 2023; 133:e164486. [PMID: 36637914 PMCID: PMC9974101 DOI: 10.1172/jci164486] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/20/2022] [Indexed: 01/14/2023] Open
Abstract
The molecular mechanisms of sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) remain incompletely understood. Single-cell RNA sequencing and morphometric data were collected from research kidney biopsies donated by young persons with type 2 diabetes (T2D), aged 12 to 21 years, and healthy controls (HCs). Participants with T2D were obese and had higher estimated glomerular filtration rates and mesangial and glomerular volumes than HCs. Ten T2D participants had been prescribed SGLT2i (T2Di[+]) and 6 not (T2Di[-]). Transcriptional profiles showed SGLT2 expression exclusively in the proximal tubular (PT) cluster with highest expression in T2Di(-) patients. However, transcriptional alterations with SGLT2i treatment were seen across nephron segments, particularly in the distal nephron. SGLT2i treatment was associated with suppression of transcripts in the glycolysis, gluconeogenesis, and tricarboxylic acid cycle pathways in PT, but had the opposite effect in thick ascending limb. Transcripts in the energy-sensitive mTORC1-signaling pathway returned toward HC levels in all tubular segments in T2Di(+), consistent with a diabetes mouse model treated with SGLT2i. Decreased levels of phosphorylated S6 protein in proximal and distal tubules in T2Di(+) patients confirmed changes in mTORC1 pathway activity. We propose that SGLT2i treatment benefits the kidneys by mitigating diabetes-induced metabolic perturbations via suppression of mTORC1 signaling in kidney tubules.
Collapse
Affiliation(s)
| | | | | | | | - Viji Nair
- Department of Internal Medicine, Division of Nephrology
| | - Sean Eddy
- Department of Internal Medicine, Division of Nephrology
| | - Rajasree Menon
- Department of Computational Medicine and Bioinformatics, and
| | - Edgar A. Otto
- Department of Internal Medicine, Division of Nephrology
| | - Dawit Demeke
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - John Hartman
- Department of Internal Medicine, Division of Nephrology
| | - Damian Fermin
- Department of Internal Medicine, Division of Nephrology
| | | | | | - Markus Bitzer
- Department of Internal Medicine, Division of Nephrology
| | | | | | - Laura Pyle
- Department of Biostatistics and Informatics, and
- Department of Pediatrics, Section of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine, Division of Nephrology
- Department of Molecular and Integrative Physiology and
| | - Ken Inoki
- Department of Internal Medicine, Division of Nephrology
- Department of Molecular and Integrative Physiology and
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan, USA
| | - Jeffrey B. Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Frank C. Brosius
- Department of Internal Medicine, Division of Nephrology
- Division of Nephrology, The University of Arizona College of Medicine Tucson, Tucson, Arizona, USA
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix, Arizona, USA
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology
- Department of Computational Medicine and Bioinformatics, and
| | - Petter Bjornstad
- Department of Pediatrics, Section of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado School of Medicine, Aurora, Colorado, USA
| |
Collapse
|
33
|
Dong J, Hu LK, Lu YK, Liu YH, Chu X, Yan YX. Association of serum uric acid with the risk of developing hypertension: A prospective cohort study with mediation analysis. Hypertens Res 2023; 46:345-356. [PMID: 36357616 DOI: 10.1038/s41440-022-01081-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022]
Abstract
Elevated serum uric acid (SUA) is associated with the incidence of hypertension, but whether relevant metabolic factors have mediating effects is not certain. Our study was based on a functional community cohort established in Beijing. In 2015, a total of 7482 individuals without hypertension were recruited and followed up until 2019. Multivariate logistic regression analysis was used to investigate the association between SUA and hypertension. Cross-lagged panel analysis and mediation analysis were used to explore the effects of metabolic factors on the association between SUA and incident hypertension. During the average 4-year follow-up, the cumulative incidence of hypertension was 10.9% (n = 580). SUA was an independent risk factor for hypertension, and the RRs (95% CI) for subjects with baseline SUA levels in quartile 2, quartile 3 and quartile 4 were 1.20 (0.88-1.63), 1.50 (1.10-2.05), and 1.57 (1.11-2.22) compared to those in quartile 1, respectively. The cross-lagged panel analysis showed that the increases in Cr, TG, LDL, ALT, AST and WBC occurred after SUA increased (P < 0.001). Among these factors, TG, WBC and ALT played an intermediary role in both men (TG: 14.76%; WBC: 11.61%; ALT: 15.93%) and women (TG: 14.55%; WBC: 8.55%; ALT: 6.89%). The elevated SUA concentration was an independent risk factor for hypertension in the Chinese population, and TG, WBC and ALT had important mediating effects on the association between SUA and hypertension.
Collapse
Affiliation(s)
- Jing Dong
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li-Kun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Ya-Ke Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yu-Hong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xi Chu
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China. .,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| |
Collapse
|
34
|
|
35
|
Hui D, Zhang F, Lu Y, Hao H, Tian S, Fan X, Liu Y, Zhou X, Li R. A Multifactorial Risk Score System for the Prediction of Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2023; 16:385-395. [PMID: 36816816 PMCID: PMC9928569 DOI: 10.2147/dmso.s391781] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/04/2023] [Indexed: 02/11/2023] Open
Abstract
PURPOSE In-depth investigations of risk factors for the identification of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) are rare. We aimed to investigate the risk factors for developing DKD from multiple types of clinical data and conduct a comprehensive risk assessment for individuals with diabetes. METHODS We carried out a case-control study, enrolling 958 patients to identify the risk factors for developing DKD in T2DM patients from a database established from inpatient electronic medical records. Multivariable logistic regression was applied to develop a prediction model and the performance of the model was evaluated using the area under the curve (AUC) and calibration curve. A multifactorial risk score system was established according to the Framingham Study risk score. RESULTS DKD accounted for 34.03% of eligible patients in total. Twelve risk factors were selected in the final prediction model, including age, duration of diabetes, duration of hypertension, fasting blood glucose, fasting C-peptide, insulin use, systolic blood pressure, low-density lipoprotein, γ-glutamyl transpeptidase, platelet, uric acid, and thyroid stimulating hormone; and one protective factor, serum albumin. The prediction model showed an AUC of 0.862 (95% Confidence Interval (CI) 0.834-0.890) with an accuracy of 81.5% in the derivation dataset and an AUC of 0.876 (95% CI 0.825-0.928) in the validation dataset. The calibration curves were excellent and the estimated probability of DKD was more than 80% when the cumulative score for risk factors reached 17 points. CONCLUSION Newly recognized risk factors were applied to assess the development of DKD in T2DM patients and the established risk score system was a reliable and feasible tool for assisting clinicians to identify patients at high risk of DKD.
Collapse
Affiliation(s)
- Dongna Hui
- Institute of Biomedical Sciences, Shanxi University, Taiyuan, People’s Republic of China
- Department of Nephrology, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Fang Zhang
- Kidney Disease Data Center, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Yuanyue Lu
- Department of Nephrology, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Huiqiang Hao
- Kidney Disease Data Center, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Shuangshuang Tian
- Kidney Disease Data Center, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Xiuzhao Fan
- Kidney Disease Data Center, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Yanqin Liu
- Kidney Disease Data Center, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
| | - Xiaoshuang Zhou
- Department of Nephrology, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
- Correspondence: Xiaoshuang Zhou, Department of Nephrology, Shanxi Provincial People’s Hospital, No. 29 Shuangta Street, Yingze District, Taiyuan, Shanxi, 030012, People’s Republic of China, Tel +86 13485318729, Email
| | - Rongshan Li
- Institute of Biomedical Sciences, Shanxi University, Taiyuan, People’s Republic of China
- Department of Nephrology, Shanxi Provincial People’s Hospital, Taiyuan, People’s Republic of China
- Rongshan Li, Institute of Biomedical Sciences, Shanxi University, No. 92 Wucheng Road, Xiaodian District, Taiyuan, Shanxi, 030006, People’s Republic of China, Tel +86-0351-4960486, Email
| |
Collapse
|
36
|
Gumus Balikcioglu P, Jachthuber Trub C, Balikcioglu M, Ilkayeva O, White PJ, Muehlbauer M, Bain JR, Armstrong S, Freemark M. Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity. Endocrinol Diabetes Metab 2023; 6:e388. [PMID: 36415168 PMCID: PMC9836245 DOI: 10.1002/edm2.388] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/09/2022] [Accepted: 10/16/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Insulin resistance (IR) in adolescents with obesity is associated with a sex-dependent metabolic 'signature' comprising the branched-chain amino acids (BCAAs), glutamate/glutamine, C3/C5 acylcarnitines and uric acid. Here, we compared the levels of branched-chain α-keto acids (BCKAs) and glutamate/glutamine, which are the byproducts of BCAA catabolism and uric acid among adolescents with obesity prior to and following a 6-month lifestyle-intervention program. METHODS Fasting plasma samples from 33 adolescents with obesity (16 males, 17 females, aged 12-18 year) were analysed by flow-injection tandem MS and LC-MS/MS. Multiple linear regression models were used to correlate changes in BCKAs, glutamate/glutamine and uric acid with changes in weight and insulin sensitivity as assessed by HOMA-IR, adiponectin and the ratio of triglyceride (TG) to HDL. In predictive models, BCKAs, glutamate/glutamine and uric acid at baseline were used as explanatory variables. RESULTS Baseline BCKAs, glutamate/glutamine and uric acid were higher in males than females despite comparable BMI-metrics. Following lifestyle-intervention, α-keto-β-methylvalerate (α-KMV, a metabolic by product of isoleucine) decreased in males but not in females. The ratio of BCKA/BCAA trended lower in males. In the cohort as a whole, BCKAs correlated positively with the ratio of TG to HDL at baseline and HOMA-IR at 6-month-follow-up. Glutamate/glutamine was positively associated with HOMA-IR at baseline and 6-month-follow-up. A reduction in BCKAs was associated with an increase in adiponectin, and those with higher BCKAs at baseline had higher adiponectin levels at 6-month-follow-up. Interestingly those adolescents with higher uric acid levels at baseline had greater reduction in weight. CONCLUSIONS BCKAs and glutamate/glutamine may serve as biomarkers of IR in adolescents with obesity, and uric acid might serve as a predictor of weight loss in response to lifestyle-intervention. Differential regulation of BCAA catabolism in adolescent males and females implicates critical roles for sex steroids in metabolic homeostasis.
Collapse
Affiliation(s)
- Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Metin Balikcioglu
- Advanced Analytics Division, SAS Institute Inc, Cary, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Phillip J White
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | - James R Bain
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Sarah Armstrong
- Division of General Pediatrics and Adolescent Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina, USA.,Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| |
Collapse
|
37
|
Wei Y, Wu Z, Wang Y, Wang G, Liu J. Interaction of sex and diabetes on the association between hemoglobin glycation index, hemoglobin A1c and serum uric acid. Diabetol Metab Syndr 2022; 14:185. [PMID: 36464722 PMCID: PMC9719659 DOI: 10.1186/s13098-022-00955-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Hemoglobin glycation index (HGI), which is calculated by blood glucose and hemoglobin A1c(HbA1c), reflects the individual discrepancy in HbA1c. This study aimed to investigate the association between HGI/HbA1c and serum uric acid(SUA) stratified by sex and diabetes. METHODS The study recruited 33772 participants who underwent physical examinations between April 2016 and August 2021 in Beijing Chao-Yang Hospital. A random subsample of 3000 subjects was utilized to calculate the formula of HGI and data of the remaining 30772 participants were used for analysis. HGI and HbA1c were categorized according to quartiles (Q1, Q2, Q3, Q4), using Q1 as the reference. We used multiple linear regression and restricted cubic splines for data analysis. RESULTS 30772 participants with a mean age of 44.4 years old were included in the analysis, 48.6% (N = 14944) of which were female and 7.7% (N = 2363) with diabetes. Associations of HGI, HbA1c and SUA were modified by sex and diabetes. The relationship between SUA levels and HGI was positive in women without diabetes, with one unit increase in HGI associating with an 11.3 μmol/L increase in SUA (P < 0.001) after adjusting for other confounders. On average, each one-unit increase in HbA1c was associated with a 14.3 μmol/L decrease in SUA in women with diabetes, a 14.9 μmol/L decrease in SUA in men with diabetes, and a 16.5 μmol/L increase in SUA in women without diabetes (all P < 0.001). The SUA levels in men without diabetes showed a bell-shaped relation with HbA1c, increasing as the HbA1c rose to around 5.7% and then falling with a further increase of HbA1c (P < 0.001). CONCLUSIONS SUA levels were inversely correlated with HbA1c in diabetic patients, also in men with prediabetes (HbA1c ≥ 5.7%), but positively correlated with HbA1c and HGI in women without diabetes. Glycemic control may help to reduce the risk of hyperuricemia in non-diabetes women.
Collapse
Affiliation(s)
- Ying Wei
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, China
| | - Zhenyu Wu
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, China
| | - Ying Wang
- Health Management Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Guang Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, China
| | - Jia Liu
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, China
| |
Collapse
|
38
|
Youth versus adult-onset type 2 diabetic kidney disease: Insights into currently known structural differences and the potential underlying mechanisms. Clin Sci (Lond) 2022; 136:1471-1483. [PMID: 36326718 PMCID: PMC10175439 DOI: 10.1042/cs20210627] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/22/2022] [Accepted: 09/12/2022] [Indexed: 11/05/2022]
Abstract
Abstract
Type 2 diabetes (T2D) is a global health pandemic with significant humanitarian, economic, and societal implications, particularly for youth and young adults who are experiencing an exponential rise in incident disease. Youth-onset T2D has a more aggressive phenotype than adult-onset T2D, and this translates to important differences in rates of progression of diabetic kidney disease (DKD). We hypothesize that youth-onset DKD due to T2D may exhibit morphometric, metabolic, and molecular characteristics that are distinct from adult-onset T2D and develop secondary to inherent differences in renal energy expenditure and substrate metabolism, resulting in a central metabolic imbalance. Kidney structural changes that are evident at the onset of puberty also serve to exacerbate the organ’s baseline high rates of energy expenditure. Additionally, the physiologic state of insulin resistance seen during puberty increases the risk for kidney disease and is exacerbated by both concurrent diabetes and obesity. A metabolic mismatch in renal energetics may represent a novel target for pharmacologic intervention, both for prevention and treatment of DKD. Further investigation into the underlying molecular mechanisms resulting in DKD in youth-onset T2D using metabolomics and RNA sequencing of kidney tissue obtained at biopsy is necessary to expand our understanding of early DKD and potential targets for therapeutic intervention. Furthermore, large-scale clinical trials evaluating the duration of kidney protective effects of pharmacologic interventions that target a metabolic mismatch in kidney energy expenditure are needed to help mitigate the risk of DKD in youth-onset T2D.
Collapse
|
39
|
Shah AS, Zeitler PS, Wong J, Pena AS, Wicklow B, Arslanian S, Chang N, Fu J, Dabadghao P, Pinhas-Hamiel O, Urakami T, Craig ME. ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents. Pediatr Diabetes 2022; 23:872-902. [PMID: 36161685 DOI: 10.1111/pedi.13409] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 11/29/2022] Open
Abstract
Since the 2018 ISPAD guidelines on this topic, follow-up of large cohorts from around the globe have continued informing the current incidence and prevalence of co-morbidities and complications in young adults with youth-onset type 2 diabetes (T2D). This chapter focuses on the risk factors, diagnosis and presentation of youth-onset T2D, the initial and subsequent management of youth-onset T2D, and management of co-morbidities and complications. We include key updates from the observational phase of the multi-center Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) clinical trial, the SEARCH for Diabetes in Youth (SEARCH) study and new data from the Restoring Insulin Secretion (RISE) study, a head-to-head comparison of youth onset vs adult-onset T2D. We also include an expanded section on risk factors associated with T2D, algorithms and tables for treatment, management, and assessment of co-morbidities and complications, and sections on recently approved pharmacologic therapies for the treatment of youth-onset T2D, social determinants of health, and settings of care given COVID-19 pandemic.
Collapse
Affiliation(s)
- Amy S Shah
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Philip S Zeitler
- Division of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jencia Wong
- Department of Endocrinology, Royal Prince Alfred Hospital and Central Clinical School, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Alexia S Pena
- The University of Adelaide, Robinson Research Institute, North Adelaide, South Australia, Australia
| | - Brandy Wicklow
- Division of Endocrinology, Winnipeg Children's Hospital and University of Manitoba, Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Silva Arslanian
- Division of Pediatric Endocrinology, Metabolism, and Diabetes Mellitus, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Nancy Chang
- Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Junfen Fu
- Division of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Preeti Dabadghao
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Orit Pinhas-Hamiel
- Edmond and Lily Safra Children's Hospital, Sackler School of Medicine, Tel-Aviv, Israel
| | - Tatsuhiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Maria E Craig
- The Children's Hospital at Westmead, University of Sydney, Sydney, New South Wales, Australia
- Discipline of Pediatrics & Child Health, School of Clinical Medicine, University of NSW Medicine and Health, Sydney, New South Wales, Australia
| |
Collapse
|
40
|
Shi B, Wang H, Wan X, Guo Y, Liu SY, Gong Q. A novel "dual-locked" fluorescent probe for ONOO - and viscosity enables serum-based rapid disease screening. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121375. [PMID: 35588605 DOI: 10.1016/j.saa.2022.121375] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/05/2022] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Peroxynitrite (ONOO-) plays important roles in the progression of important disease such as inflammation, cancer, and diabetes, which made it an attractable target for biosensor development. However, to detect ONOO- solely is highly dependent on the sensitivity of the detection method and may be disturbed by unwillingly false-positive signal. Cellular viscosity is an important microenvironmental parameter and its abnormal changes are closely related to diseases such as diabetes and cancer. In this case, to construct a "dual-locked" molecular tool for both ONOO- and viscosity sensing and to evaluate the performance of such strategy in disease diagnosis is of great importance. We herein firstly reported the construction of a novel "dual-locked" probe DCI-OV which showed capability for simultaneous measuring ONOO- concentration and system viscosity with high sensitivity (LOD = 4.7 nM) and high specificity. Moreover, both exogenous and low level of endogenous ONOO- in living cells could be detected using DCI-OV due to viscosity amplified signal. Furthermore, cancer cells and insulin-resistant cells could be easily distinguished using DCI-OV. By taking advantage of the "dual-locked" sensing strategy, a total of 85 samples of human serum were screened using DCI-OV based rapid disease screening method and it was capable of differentiated and subdivided patients into specific type of disease, indicating the great potential of application of DCI-OV into clinical related disease diagnosis.
Collapse
Affiliation(s)
- Baotang Shi
- Clinical Molecular Immunology Center, School of Medicine, Yangtze University, Jingzhou, China, Jingzhou, Hubei 434023, PR China; Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei 434023, PR China
| | - Huiling Wang
- College of Chemistry, Central China Normal University, 152 Luoyu Road, Wuhan 430079, PR China
| | - Xingxia Wan
- Clinical Molecular Immunology Center, School of Medicine, Yangtze University, Jingzhou, China, Jingzhou, Hubei 434023, PR China; Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei 434023, PR China
| | - Yu Guo
- Clinical Molecular Immunology Center, School of Medicine, Yangtze University, Jingzhou, China, Jingzhou, Hubei 434023, PR China; Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei 434023, PR China
| | - Shi-Yu Liu
- Clinical Molecular Immunology Center, School of Medicine, Yangtze University, Jingzhou, China, Jingzhou, Hubei 434023, PR China; Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei 434023, PR China.
| | - Quan Gong
- Clinical Molecular Immunology Center, School of Medicine, Yangtze University, Jingzhou, China, Jingzhou, Hubei 434023, PR China; Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei 434023, PR China.
| |
Collapse
|
41
|
Yuanyuan Q, Yunhua H, Qingyun C, Min G, Lujie Z, Peng W, Lin F. The prevalence of hyperuricemia and its correlates in Zhuang nationality, Nanning, Guangxi Province. J Clin Lab Anal 2022; 36:e24711. [PMID: 36189790 DOI: 10.1002/jcla.24711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/03/2022] [Accepted: 09/06/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Hyperuricemia has an increasing incidence in various regions year by year, in this study, we evaluated the prevalence of hyperuricemia in a routine physical examination in Nanning, Guangxi Province, and analyzed the influencing factors of hyperuricemia, aiming to provide evidence for the prevention and treatment of hyperuricemia and related diseases. METHODS Data were collected from 1957 patients who underwent physical examinations at the First Affiliated Hospital of Guangxi Medical University in China since 2017. Questionnaires were structured, including subjects' demographics, lifestyle, personal history, chronic disease history, medication history, etc. UA (uricase method), TC (cholesterol oxidase method), TG (glycerol phosphate oxidase method), HDL-C (direct method), LDL-C (direct method), BUN (rate method), creatinine (sarine oxidase method), and GLU (oxidase-peroxidase method) were detected. Independent risk factors for hyperuricemia were determined by bivariate non-conditional logistic regression analysis. RESULTS The overall prevalence of hyperuricemia was 16.6% (19.5% in males and 14.9% in females). Gender, waist circumference, BMI, the proportion of drinking, hypertension, high education, serum concentrations of TC, TG, LDL-C, BUN, and creatinine were significantly higher and the serum concentration of HDL-C was significantly lower in patients with and without hyperuricemia (all p < 0.05). Waist circumference, BMI, BUN, and creatinine were independent risk factors for hyperuricemia. CONCLUSION The prevalence of hyperuricemia is very high in Guangxi. Public health lectures should be conducted to encourage people to establish a healthy lifestyle and strengthen early intervention for hyperuricemia to reduce the risk of cardio-cerebrovascular and other related diseases.
Collapse
Affiliation(s)
- Qin Yuanyuan
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Huang Yunhua
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chen Qingyun
- Health Management Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Gan Min
- Health Management Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhai Lujie
- Health Management Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wang Peng
- Health Management Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Faquan Lin
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| |
Collapse
|
42
|
Zheng Y, Xu L, Dong N, Li F. NLRP3 inflammasome: The rising star in cardiovascular diseases. Front Cardiovasc Med 2022; 9:927061. [PMID: 36204568 PMCID: PMC9530053 DOI: 10.3389/fcvm.2022.927061] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 08/18/2022] [Indexed: 11/21/2022] Open
Abstract
Cardiovascular diseases (CVDs) are the prevalent cause of mortality around the world. Activation of inflammasome contributes to the pathological progression of cardiovascular diseases, including atherosclerosis, abdominal aortic aneurysm, myocardial infarction, dilated cardiomyopathy, diabetic cardiomyopathy, heart failure, and calcific aortic valve disease. The nucleotide oligomerization domain-, leucine-rich repeat-, and pyrin domain-containing protein 3 (NLRP3) inflammasome plays a critical role in the innate immune response, requiring priming and activation signals to provoke the inflammation. Evidence shows that NLRP3 inflammasome not only boosts the cleavage and release of IL-1 family cytokines, but also leads to a distinct cell programmed death: pyroptosis. The significance of NLRP3 inflammasome in the CVDs-related inflammation has been extensively explored. In this review, we summarized current understandings of the function of NLRP3 inflammasome in CVDs and discussed possible therapeutic options targeting the NLRP3 inflammasome.
Collapse
|
43
|
Feng X, Guo Y, Tu H, Li S, Chen C, Sun M, Wang S, Li B, Wu X, Song Z. Temporal changes in serum uric acid and risk for metabolic syndrome: a longitudinal cohort study. Diabetol Metab Syndr 2022; 14:92. [PMID: 35794651 PMCID: PMC9258088 DOI: 10.1186/s13098-022-00861-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 06/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Studies suggested elevated serum uric acid (SUA) levels are associated with metabolic syndrome (MetS). However, it remains unclear whether baseline SUA and temporal changes predict MetS. The study aimed to investigate the association of baseline SUA and its temporal longitudinal changes with subsequent risk of MetS. METHODS We conducted a retrospective longitudinal cohort study among 44,176 healthy participants aged 18 years and older without MetS at enrollment. The baseline levels and longitudinal changes of SUA were categorized by gender-specific quintiles. Participants were followed to identify newly developed MetS. We employed Cox model to investigate the relationship between SUA and MetS in men and women separately. RESULTS During a median follow-up of 2.4 years, 5461 (12.36%) participants developed MetS. After adjustment of demographic, major clinical factors, a higher level of baseline SUA was associated with a significant higher risk of MetS. The corresponding HRs (95% CIs) comparing participants at extreme quintiles were 2.59 (2.32, 2.88) in men and 2.87 (2.41, 3.43) in women. Larger longitudinal absolute increase in SUA was also related to an increases risk of MetS (top vs bottom quintile, 1.70 [1.53, 1.89] in men and 1.94 [1.65, 2.28] in women), regardless the level of baseline SUA. Similarly, the HRs about SUA longitudinal percentage changes were 1.74 (1.56, 1.94) in men and 2.01 (1.69, 2.39) in women, respectively. Moreover, we observed the highest risk of MetS among participants with both higher baseline SUA and larger longitudinal increase in SUA. CONCLUSION Higher baseline SUA and larger temporal increase in SUA independently predicted risk of MetS, highlighting the importance of longitudinal SUA monitoring and management for primary prevention of MetS in the general population.
Collapse
Affiliation(s)
- Xuan Feng
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang, China
| | - Yi Guo
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Huakang Tu
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, 310058, Zhejiang, China
| | - Shu Li
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chen Chen
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, 310058, Zhejiang, China
| | - Mingxi Sun
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Sicong Wang
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Bohan Li
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xifeng Wu
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China.
- School of Medicine and Health Science, George Washington University, Washington, DC, USA.
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, 310058, Zhejiang, China.
| | - Zhenya Song
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, 310058, Zhejiang, China.
| |
Collapse
|
44
|
Yuan X, Chen R, Zhang Y, Lin X, Yang X. Altered Gut Microbiota in Children With Hyperuricemia. Front Endocrinol (Lausanne) 2022; 13:848715. [PMID: 35574004 PMCID: PMC9091909 DOI: 10.3389/fendo.2022.848715] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/24/2022] [Indexed: 11/17/2022] Open
Abstract
Background In adults, gut dysbiosis may contribute to the pathogenesis of gout. However, the characteristics of gut microbiota in children with hyperuricemia (HUA) in the absence of clinical gout have not been explored. Objective This present study analyzed the gut microbiota in children with HUA as compared to controls (Con) and explored bacterial associations that may account for differences. Methods A total of 80 children were enrolled in this study; they were divided into HUA and Con according to the level of serum uric acid (UA). The composition of gut microbiota was investigated by 16S rRNA high-throughput sequencing. Results Principal coordinate analysis revealed that gut microbiota of the HUA group was clustered together and separated partly from the Con group. There was no difference in alpha-diversity between the two groups. However, Spearman's correlation analysis revealed that serum UA level positively correlated with genera Actinomyces, Morganella, and Streptococcus, and negatively associated with the producers of short-chain fatty acids (SCFAs), such as Alistipes, Faecalibacterium, and Oscillospira, and the sulfidogenic bacteria Bilophila. The members of the genera Alistipes and Bilophila in the Con group were significantly more prevalent than the HUA subjects. Compared to the Con cohort, metabolic pathway predictions found that the superpathways of purine nucleotide de novo biosynthesis were decreased in HUA subjects, whereas the superpathway of purine deoxyribonucleoside de gradation was increased. Conclusion The composition of the gut microbiota in children with HUA differs from Con. Although causality cannot be established, modification in the microbiota that produces SCFA and sulfide may promote HUA.
Collapse
Affiliation(s)
| | - Ruimin Chen
- Department of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China
| | | | | | | |
Collapse
|
45
|
Jiang G, Luk AO, Tam CH, Ozaki R, Lim CK, Chow EY, Lau ES, Kong AP, Fan B, Hong Kong Diabetes Register TRS Study Group, Lee KF, Siu SC, Hui G, Tsang CC, Lau KP, Leung JY, Tsang MW, Kam G, Lau IT, Li JK, Yeung VT, Lau E, Lo S, Fung S, Cheng YL, Chow CC, Hong Kong Diabetes Biobank Study Group, Tang NL, Huang Y, Lan HY, Oram RA, Szeto CC, So WY, Chan JC, Ma RC. Clinical Predictors and Long-term Impact of Acute Kidney Injury on Progression of Diabetic Kidney Disease in Chinese Patients With Type 2 Diabetes. Diabetes 2022; 71:520-529. [PMID: 35043149 PMCID: PMC8893937 DOI: 10.2337/db21-0694] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 12/14/2021] [Indexed: 11/13/2022]
Abstract
We aim to assess the long-term impact of acute kidney injury (AKI) on progression of diabetic kidney disease (DKD) and all-cause mortality and investigate determinants of AKI in Chinese patients with type 2 diabetes (T2D). A consecutive cohort of 9,096 Chinese patients with T2D from the Hong Kong Diabetes Register was followed for 12 years (mean ± SD age 57 ± 13.2 years; 46.9% men; median duration of diabetes 5 years). AKI was defined based on the Kidney Disease: Improving Global Outcomes (KDIGO) criteria using serum creatinine. Estimated glomerular filtration rate measurements were used to identify the first episode with chronic kidney disease (CKD) and end-stage renal disease (ESRD). Polygenic risk score (PRS) composed of 27 single nucleotide polymorphisms (SNPs) known to be associated with serum uric acid (SUA) in European populations was used to examine the role of SUA in pathogenesis of AKI, CKD, and ESRD. Validation was sought in an independent cohort including 6,007 patients (age 61.2 ± 10.9 years; 59.5% men; median duration of diabetes 10 years). Patients with AKI had a higher risk for developing incident CKD (hazard ratio 14.3 [95% CI 12.69-16.11]), for developing ESRD (12.1 [10.74-13.62]), and for all-cause death (7.99 [7.31-8.74]) compared with those without AKI. Incidence rate for ESRD among patients with no episodes of AKI and one, two, and three or more episodes of AKI was 7.1, 24.4, 32.4, and 37.3 per 1,000 person-years, respectively. Baseline SUA was a strong independent predictor for AKI. A PRS composed of 27 SUA-related SNPs was associated with AKI and CKD in both discovery and replication cohorts but not ESRD. Elevated SUA may increase the risk of DKD through increasing AKI. The identification of SUA as a modifiable risk factor and PRS as a nonmodifiable risk factor may facilitate the identification of individuals at high risk to prevent AKI and its long-term impact in T2D.
Collapse
Affiliation(s)
- Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
| | - Andrea O. Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Claudia H.T. Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
| | - Risa Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
| | - Cadmon K.P. Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
| | - Elaine Y.K. Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
| | - Eric S. Lau
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
| | - Alice P.S. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
| | | | - Ka Fai Lee
- Department of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong
| | | | - Grace Hui
- Diabetes Centre, Tung Wah Eastern Hospital, Hong Kong
| | - Chiu Chi Tsang
- Diabetes and Education Centre, Alice Ho Miu Ling Nethersole Hospital, Hong Kong
| | | | - Jenny Y. Leung
- Department of Medicine and Geriatrics, Ruttonjee Hospital, Hong Kong
| | - Man-wo Tsang
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong
| | - Grace Kam
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong
| | | | - June K. Li
- Department of Medicine, Yan Chai Hospital, Hong Kong
| | - Vincent T. Yeung
- Centre for Diabetes Education and Management, Our Lady of Maryknoll Hospital, Hong Kong
| | - Emmy Lau
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong
| | - Stanley Lo
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong
| | - Samuel Fung
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong
| | - Yuk Lun Cheng
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong
| | - Chun Chung Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | | | - Nelson L.S. Tang
- Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong
| | - Yu Huang
- School of Biomedical Sciences, The Chinese University of Hong Kong
| | - Hui-yao Lan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Cheuk Chun Szeto
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
| | - Juliana C.N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
| | - Ronald C.W. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong
- Corresponding author: Ronald C.W. Ma,
| |
Collapse
|
46
|
Looker HC, Pyle L, Vigers T, Severn C, Saulnier PJ, Najafian B, Mauer M, Nelson RG, Bjornstad P. Structural Lesions on Kidney Biopsy in Youth-Onset and Adult-Onset Type 2 Diabetes. Diabetes Care 2022; 45:436-443. [PMID: 35006272 PMCID: PMC8914414 DOI: 10.2337/dc21-1688] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 11/17/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes (T2D) is a leading cause of end-stage kidney disease worldwide. Recent studies suggest a more aggressive clinical course of diabetic kidney disease in youth-onset compared with adult-onset T2D. We compared kidney structural lesions in youth- and adult-onset T2D to determine if youth onset was associated with greater early tissue injury. RESEARCH DESIGN AND METHODS Quantitative microscopy was performed on kidney tissue obtained from research kidney biopsies in 161 Pima Indians (117 women, 44 men) with T2D. Onset of T2D was established by serial oral glucose tolerance testing, and participants were stratified as youth onset (age <25 years) or adult onset (age ≥25 years). Associations between clinical and morphometric parameters and age at onset were tested using linear models. RESULTS At biopsy, the 52 participants with youth-onset T2D were younger than the 109 with adult-onset T2D (39.1 ± 9.9 vs. 51.4 ± 10.2 years; P < 0.0001), but their diabetes duration was similar (19.3 ± 8.1 vs. 17.0 ± 7.8 years; P = 0.09). Median urine albumin-to-creatinine ratio was higher in the youth-onset group (58 [25th-75th percentile 17-470] vs. 27 [13-73] mg/g; P = 0.02). Youth-onset participants had greater glomerular basement membrane (GBM) width (552 ± 128 vs. 490 ± 114 nm; P = 0.002) and mesangial fractional volume (0.31 ± 0.10 vs. 0.27 ± 0.08; P = 0.001) than adult-onset participants. Glomerular sclerosis percentage, glomerular volume, mesangial fractional volume, and GBM width were also inversely associated with age at diabetes onset as a continuous variable. CONCLUSIONS Younger age at T2D onset strongly associates with more severe kidney structural lesions. Studies are underway to elucidate the pathways underlying these associations.
Collapse
Affiliation(s)
- Helen C Looker
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | | | | | | | - Pierre J Saulnier
- INSERM Centre d'Investigation Clinique 1402, University of Poitiers, Poitiers, France
| | | | | | - Robert G Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | | |
Collapse
|
47
|
Huang JX, Casper TC, Pitts C, Myers S, Loomba L, Ramesh J, Kuppermann N, Glaser N. Association of Acute Kidney Injury During Diabetic Ketoacidosis With Risk of Microalbuminuria in Children With Type 1 Diabetes. JAMA Pediatr 2022; 176:169-175. [PMID: 34842908 PMCID: PMC8630664 DOI: 10.1001/jamapediatrics.2021.5038] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
IMPORTANCE Diabetic kidney disease is among the most important causes of end-stage kidney disease worldwide. Risk factors for diabetic kidney disease remain incompletely defined. Recent studies document a high frequency of acute kidney injury (AKI) during diabetic ketoacidosis (DKA) in children, raising the question of whether these AKI episodes might contribute to future risk of diabetic kidney disease. OBJECTIVE To determine whether episodes of AKI occurring during DKA in children are associated with increased risk of development of microalbuminuria. DESIGN, SETTING, AND PARTICIPANTS This retrospective review of medical records included children with type 1 diabetes with 1 or more urine albumin levels measured during routine diabetes care from 2 university-affiliated urban tertiary children's hospitals in the United States from January 2006 to December 2019. Age at diagnosis of diabetes, hemoglobin A1c levels, episodes of DKA, pH and creatinine levels during DKA, and urine albumin and creatinine measurements were analyzed. Cox proportional hazards regression models were used to identify variables affecting the hazard rate for microalbuminuria development. Analyses began January 2021 and ended May 2021. EXPOSURES Episodes of DKA and episodes of AKI occurring during DKA. MAIN OUTCOMES AND MEASURES AKI occurrence and AKI stage were determined from serum creatinine measurements during DKA using Kidney Disease: Improving Global Outcomes criteria. Microalbuminuria was defined as urine albumin-to-creatinine ratio of 30 mg/g or more or excretion of 30 mg or more of albumin in 24 hours. RESULTS Of 2345 children, the mean (SD) age at diagnosis was 9.4 (4.4) years. One or more episodes of DKA occurred in 963 children (41%), and AKI occurred during DKA in 560 episodes (47%). In multivariable models adjusting for the associations of age at diagnosis and mean hemoglobin A1c level since diagnosis, each episode of AKI during DKA was associated with a hazard ratio of 1.56 (95% CI, 1.3-1.87) for development of microalbuminuria. Four or more episodes increased the hazard rate by more than 5-fold. DKA episodes without AKI did not significantly increase the hazard rate for microalbuminuria development after adjusting for other covariates. CONCLUSIONS AND RELEVANCE These data demonstrate that episodes of AKI occurring during DKA in children with type 1 diabetes are significantly associated with risk of developing microalbuminuria. Greater efforts are necessary to reduce the frequency of DKA.
Collapse
Affiliation(s)
- Jia Xin Huang
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento
| | - T. Charles Casper
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Casey Pitts
- Department of Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Sage Myers
- Department of Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Lindsey Loomba
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento
| | - Janani Ramesh
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento
| | - Nathan Kuppermann
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento,Department of Emergency Medicine, University of California Davis School of Medicine, Sacramento, California
| | - Nicole Glaser
- Department of Pediatrics, University of California, Davis School of Medicine, Sacramento
| |
Collapse
|
48
|
Nicolucci A, Maffeis C. The adolescent with obesity: what perspectives for treatment? Ital J Pediatr 2022; 48:9. [PMID: 35033162 PMCID: PMC8761267 DOI: 10.1186/s13052-022-01205-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/02/2022] [Indexed: 12/14/2022] Open
Abstract
The dramatic increase in overweight and obesity among children and adolescents has become a major public health problem. Obesity in children and young adults is associated with an increased prevalence of cardiometabolic risk factors. Obesity during adolescence represents a strong predictor of obesity and higher mortality in adulthood. Due to the serious implications of obesity in adolescents, effective treatments are urgently needed. Lifestyle interventions represent the recommended therapy. Nevertheless, real world data show that the majority of adolescents do not achieve weight loss in the long term, and are reluctant to participate in lifestyle interventions. Pharmacological treatment is recommended if a formal lifestyle modification program fails to limit weight gain or to improve comorbidities. However, until 2020 the European Medicines Agency (EMA) had not approved any pharmacotherapeutic agents for obesity in pediatric patients. On April 2021, EMA has authorized the use of Liraglutide, a glucagon-like peptide (GLP)-1 analog, for the treatment of obesity in adolescents (12–17 years). The efficacy and safety of Liraglutide were demonstrated in a randomized, double-blind trial, enrolling 251 adolescents. After 56 weeks, a reduction in BMI of at least 5% was observed in 43.3% of participants in the liraglutide group vs. 18.7% in the placebo group, and a reduction in BMI of at least 10% was observed in 26.1 and 8.1%, respectively. Gastrointestinal events were the events most frequently reported with liraglutide. Bariatric surgery represents another effective treatment for adolescents with severe obesity, with sustained benefits on weight loss and cardiometabolic risk factors. However, long-term safety and effectiveness data in adolescents are still scarce. Risks of bariatric surgery include the need for additional abdominal surgical procedures and specific micronutrient deficiencies. Hopefully, new pharmacological treatments in addition to lifestyle interventions will offer more chances of success.
Collapse
Affiliation(s)
- Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology, CORESEARCH SRL, Corso Umberto I, 65122, Pescara, Italy.
| | - Claudio Maffeis
- Department of Surgery, Dentistry, Pediatrics and Gynecology, Section of Pediatric Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, 37126, Verona, Italy
| |
Collapse
|
49
|
Ding N, Long Y, Li C, He L, Su Y. Association of Uric Acid With Blood Pressure in Hypertension Between Treatment Group and Non-treatment Group. Front Cardiovasc Med 2022; 8:751089. [PMID: 35087877 PMCID: PMC8787103 DOI: 10.3389/fcvm.2021.751089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 12/09/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study aimed to explore the association between uric acid (UA) and blood pressure (BP) in hypertension treatment and non-treatment groups.Methods: A cross-sectional study with 6,985 individuals from the National Health and Nutrition Examination Survey (NHANES) was performed. Multiple linear regression analysis was performed to explore the relationship of UA and BP in hypertension between the treatment group (n = 5,983) and the non-treatment group (n = 1,002).Results: A significantly negative association was discovered in SBP (β, −0.36 [95% CI, −0.71, −0.01]) and DBP (β, −0.47 [95% CI, −0.69, −0.26]) in the hypertension treatment group. In the hypertension non-treatment group, the associations between UA and BP including SBP, DBP were both an inverted U-shape. The inflection point of SBP and DBP was 7 and 7.5 mg/dl, respectively. For SBP, the association was positively significant (β, 3.11 [95% CI, 1.67, 4.56]) before the inflection point of 7 mg/dl. However, after the inflection point of 7 mg/dl, the association was negative (β, −5.44 [95% CI, −8.6, −2.28]). For DBP, the inflection point was 7.5 mg/dl, and the effect size was positive (β, 1.19 [95% CI, 0.37, 2.01]) before the inflection point. However, after it, the effect size was negative (β, −3.24 [95% CI, −5.72, −0.76]).Conclusion: The association between UA and BP was negative in the hypertension treatment group. In the hypertension non-treatment group, the associations between UA and BP including SBP and DBP were both an inverted U-shape.
Collapse
|
50
|
Li W, Wang Y, Ouyang S, Li M, Liu R, Zhang Y, Liu X, Li T, Liu S. Association Between Serum Uric Acid Level and Carotid Atherosclerosis and Metabolic Syndrome in Patients With Type 2 Diabetes Mellitus. Front Endocrinol (Lausanne) 2022; 13:890305. [PMID: 35769075 PMCID: PMC9234212 DOI: 10.3389/fendo.2022.890305] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 05/04/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Serum uric acid (SUA) is associated with many cardiovascular risk factors, such as metabolic syndrome (MetS) and subclinical atherosclerosis. However, the relationship of SUA with carotid atherosclerosis remains controversial. We aimed to investigate whether elevated SUA levels are associated with a high risk of carotid atherosclerosis and MetS in patients with type 2 diabetes mellitus (T2DM). METHODS This cross-sectional study was performed with a sample of 1,947 hospitalized patients with T2DM. Carotid intima-media thickness and carotid artery plaques were measured via Doppler ultrasound. RESULTS Uric acid levels were negatively associated with HbA1C, eGFR, and HDL-C (all P < 0.001) and positively associated with WBC, BMI, ACR, creatinine, total cholesterol, triglycerides, LDL-C, systolic blood pressure, and diastolic blood pressure (all P < 0.001). After adjusting for multiple potential confounders, the risks were substantially higher for MetS in the highest quartile of SUA levels (odds ratio: 2.91, 95% confidence interval: 1.54-5.51, P = 0.003 for trend) than in the lowest quartile of SUA levels. Furthermore, a significant increase was observed in the prevalence of overweight/obesity, hypertension, and dyslipidemia across the SUA quartiles independent of confounders. However, no significant association was found between SUA quartile with the presence of carotid atherosclerosis. CONCLUSIONS In patients with T2DM, SUA levels were closely associated with MetS and its components but not with carotid atherosclerosis.
Collapse
Affiliation(s)
- Wei Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Wei Li, ; Shengyun Liu,
| | - Yan Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shengrong Ouyang
- Department of Biochemistry and Immunology, Capital Institute of Pediatrics, Beijing, China
| | - Mengdi Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Rui Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuqi Zhang
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaojun Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tianfang Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shengyun Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Wei Li, ; Shengyun Liu,
| |
Collapse
|