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Sun R, Jia J, Wang S, Wang Z, Wang C, Xu Y, Yuan Y. Mediation effect of antithrombin III between chronic renal insufficiency and chronic coronary artery disease in T2DM patients. Endocrine 2024; 84:924-933. [PMID: 38190026 DOI: 10.1007/s12020-023-03669-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/15/2023] [Indexed: 01/09/2024]
Abstract
PURPOSE The study aimed to investigate the potential effect of Antithrombin III (ATIII) between chronic renal insufficiency and chronic coronary artery disease (chronic CAD) in type 2 diabetes mellitus (T2DM) patients. METHODS T2DM patients hospitalized in ZhongDa Hospital from 2013 to 2018 were enrolled. Relationships between renal function, ATIII, and chronic CAD risk were explored using multivariate regression models. Multiplicative and additive interactions were investigated between ATIII and renal function for CAD risk, and the role of ATIII was determined by bootstrap mediation analysis in patients with chronic renal dysfunction. RESULTS A total of 4197 patients were included in the study, with a chronic CAD prevalence of 23.02%. Low ATIII level was statistically associated with chronic renal insufficiency and elevated CAD risk even after adjustments (P < 0.05). A positive correlation between renal function and ATIII was demonstrated, and each 1 SD increase in renal function, ATIII increased by 2.947% (2.406-3.488%, P < 0.001) and 0.969% (0.297-1.642%, P < 0.001) in crude and adjusted models respectively. Patients with decreased renal function and ATIII were at the highest chronic CAD risk (OR = 1.51, 95%CI:1.15-1.98, P < 0.05), while no multiplicative and additive interaction effects were significant. Bootstrap mediation analysis estimated that ATIII mediated approximately 4.27% of the effect of chronic renal insufficiency on chronic CAD risk. CONCLUSION ATIII may serve as a mediator between chronic renal insufficiency and chronic CAD, providing mechanistic clues for renal-heart association and new insight into clinical therapies.
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Affiliation(s)
- Ruoyu Sun
- Department of Endocrinology, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China
- School of Medicine, Southeast University, Nanjing, 210009, China
| | - Jianhong Jia
- Department of Endocrinology, Siyang Hospital of Traditional Chinese Medicine, Suqian, 223700, China
| | - Shaohua Wang
- Department of Endocrinology, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China
| | - Zheng Wang
- Gansu Province Maternal and Child-Care Hospital, Lanzhou, 730050, China
| | - Chenchen Wang
- Department of Endocrinology, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China
| | - Yanchao Xu
- College of Computer Science and Technology, Zhejiang University, Hangzhou, 310058, China
| | - Yang Yuan
- Department of Endocrinology, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China.
- School of Medicine, Southeast University, Nanjing, 210009, China.
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Zhang J, Li X, Zhang S, Wang Z, Tian R, Xu F, Chen Y, Li C. Distribution and prognostic value of high-sensitivity cardiac troponin T and I across glycemic status: a population-based study. Cardiovasc Diabetol 2024; 23:83. [PMID: 38402162 PMCID: PMC10894468 DOI: 10.1186/s12933-023-02092-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/11/2023] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Whether distributions and prognostic values of high-sensitivity cardiac troponin (hs-cTn) T and I are different across normoglycemic, prediabetic, and diabetic populations is unknown. METHODS 10127 adult participants from the National Health and Nutrition Examination Survey 1999-2004 with determined glycemic status and measurement of at least one of hs-cTn assays were included, from whom healthy participants and presumably healthy diabetic and prediabetic participants were selected to investigate pure impacts of glycemic status on distributions of hs-cTn. The nonparametric method and bootstrapping were used to derive the 99th upper reference limits of hs-cTn and 95% CI. Participants with available follow-up and hs-cTn concentrations of all 4 assays were included in prognostic analyses. Associations of hs-cTn with all-cause and cardiac-specific mortality were modeled by Cox proportional hazard regression under the complex survey design. The incremental value of hs-cTn to an established risk score in predicting cardiac-specific mortality was assessed by the 10-year area under time-dependent receiver operating characteristic curve (AUC) using the Fine-Grey competing risk model. RESULTS Among 9714 participants included in prognostic analyses, 5946 (61.2%) were normoglycemic, 2172 (22.4%) prediabetic, and 1596 (16.4%) diabetic. Hyperglycemic populations were older than the normoglycemic population but sex and race/ethnicity were similar. During the median follow-up of 16.8 years, hs-cTnT and hs-cTnI were independently associated with all-cause and cardiac-specific mortality across glycemic status. In the diabetic population, adjusted hazard ratios per 1-standard deviation increase of log-transformed hs-cTnT and hs-cTnI (Abbott) concentrations were 1.77 (95% CI 1.48-2.12; P < .001) and 1.83 (95% CI 1.33-2.53; P < .001), respectively, regarding cardiac-specific mortality. In the diabetic but not the normoglycemic population, adding either hs-cTnT (difference in AUC: 0.062; 95% CI 0.038-0.086; P < 0.001) or hs-cTnI (Abbott) (difference in AUC: 0.071; 95% CI 0.046-0.097; P < 0.001) would significantly increase the discriminative ability of the risk score; AUC of the score combined with hs-cTnT would be further improved by incorporating hs-cTnI (0.018; 95%CI 0.006-0.029; P = 0.002). The 99th percentile of hs-cTnT of the presumably healthy diabetic population was higher than the healthy population and had no overlap in 95% CIs, however, for hs-cTnI 99th percentiles of the two populations were very close and 95% CIs extensively overlapped. CONCLUSIONS Hs-cTnT and hs-cTnI demonstrated consistent prognostic associations across glycemic status but incremental predictive values in hyperglycemic populations only. The susceptibility of hs-cTnT 99th percentiles to diabetes plus the additive value of hs-cTnI to hs-cTnT in diabetic cardiovascular risk stratification suggested hs-cTnI and hs-cTnT may be differentially associated with glycemic status, but further research is needed to illustrate the interaction between hyperglycemia and hs-cTn.
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Affiliation(s)
- Jiajun Zhang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoxing Li
- Department of Geriatrics, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Shenglin Zhang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Zhen Wang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Rui Tian
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Feng Xu
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China
| | - Yuguo Chen
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China.
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China.
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China.
| | - Chuanbao Li
- Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong, 250012, People's Republic of China.
- Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging (MF), Qilu Hospital of Shandong University, Jinan, China.
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Jinan, China.
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Kashiwagi-Takayama R, Kozawa J, Hosokawa Y, Kato S, Kawata S, Ozawa H, Mineo R, Ishibashi C, Baden MY, Iwamoto R, Saisho K, Fujita Y, Tamba S, Sugiyama T, Nishizawa H, Maeda N, Yamamoto K, Higashi M, Yamada Y, Sakata Y, Matsuzawa Y, Shimomura I. Myocardial fat accumulation is associated with cardiac dysfunction in patients with type 2 diabetes, especially in elderly or female patients: a retrospective observational study. Cardiovasc Diabetol 2023; 22:48. [PMID: 36882731 PMCID: PMC9993532 DOI: 10.1186/s12933-023-01782-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/23/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Ectopic fat is fat that accumulates in or around specific organs or compartments of the body including myocardium. The clinical features of type 2 diabetes patients with high fat accumulation in the myocardium remain unknown. Moreover, little is known about the influence of myocardial fat accumulation in type 2 diabetes on coronary artery disease and cardiac dysfunction. We aimed to clarify the clinical features, including cardiac functions, of type 2 diabetes patients with myocardial fat accumulation. METHODS We retrospectively enrolled type 2 diabetes patients who underwent ECG-gated coronary computed tomography angiography (CCTA) and abdominal computed tomography (CT) scan examinations within 1 year of CCTA from January 2000 to March 2021. High fat accumulation in the myocardium was defined as the low mean myocardial CT value of three regions of interest, and the associations between CT values and clinical characteristics or cardiac functions were assessed. RESULTS In total, 124 patients were enrolled (72 males and 52 females). The mean age was 66.6 years, the mean BMI was 26.2 kg/m2, the mean ejection fraction (EF) was 67.6%, and the mean myocardial CT value was 47.7 Hounsfield unit. A significant positive correlation was found between myocardial CT value and EF (r = 0.3644, p = 0.0004). The multiple regression analyses also showed that myocardial CT value was independently associated with EF (estimate, 0.304; 95% confidence interval (CI) 0.092 to 0.517; p = 0.0056). Myocardial CT value showed significant negative correlations with BMI, visceral fat area and subcutaneous fat area (r = - 0.1923, - 0.2654, and -0.3569, respectively, p < 0.05). In patients who were ≥ 65 years or female, myocardial CT value showed significant positive correlations with not only EF (r = 0.3542 and 0.4085, respectively, p < 0.01) but also early lateral annular tissue Doppler velocity (Lat e') (r = 0.5148 and 0.5361, respectively, p < 0.05). The multiple regression analyses showed that myocardial CT value was independently associated with EF and Lat e' in these subgroups (p < 0.05). CONCLUSIONS Patients with type 2 diabetes, especially in elderly or female patients, who had more myocardial fat had more severe left ventricular systolic and diastolic dysfunctions. Reducing myocardial fat accumulation may be a therapeutic target for type 2 diabetes patients.
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Affiliation(s)
- Risa Kashiwagi-Takayama
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Junji Kozawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan. .,Department of Diabetes Care Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
| | - Yoshiya Hosokawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Sarasa Kato
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Satoshi Kawata
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Harutoshi Ozawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.,Department of Lifestyle Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Ryohei Mineo
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.,Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Chisaki Ishibashi
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Megu Y Baden
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.,Department of Lifestyle Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Ryuya Iwamoto
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Kenji Saisho
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Yukari Fujita
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Sachiko Tamba
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Takuya Sugiyama
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Hitoshi Nishizawa
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Norikazu Maeda
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.,Department of Metabolism and Atherosclerosis, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Koji Yamamoto
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Masahiro Higashi
- Department of Radiology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Yuya Yamada
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Yasushi Sakata
- Cardiovascular Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Yuji Matsuzawa
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
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