1
|
Wang Z, Zhao G, Cao Y, Gu T, Yang Q. Association between monocyte to high-density lipoprotein cholesterol ratio and kidney stone: insights from NHANES. Front Endocrinol (Lausanne) 2024; 15:1374376. [PMID: 38894743 PMCID: PMC11183274 DOI: 10.3389/fendo.2024.1374376] [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: 01/23/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Purpose The ratio of monocyte to high-density lipoprotein cholesterol (MHR) has surfaced as a novel biomarker indicative of inflammation and oxidative stress. The aim of our study was to evaluate the association between MHR and the risk of kidney stones. Methods This study analyzed data from individuals aged 20-79 who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. The MHR was assessed as the exposure variable, while a self-reported history of kidney stones was used as the outcome variable. The independent relationship between MHR and the risk of kidney stones was thoroughly evaluated. Results This study included 28,878 participants, and as the quartile range of the MHR increased, the proportion of kidney stones also rose progressively (7.20% to 8.89% to 10.88% to 12.05%, P<0.001). After adjusting for confounding factors, MHR was independently associated with an increased risk of kidney stones (OR=1.31, 95%CI=1.11-1.54, P=0.001), also independent of some common inflammatory indices. Subgroup analysis suggested that the relationship between MHR and kidney stones was more pronounced in female and individuals aged 20-49. Further restricted cubic spline (RCS) analysis indicated a nonlinear relationship between MHR and the risk of kidney stones. Conclusion Our results indicate a positive correlation between MHR and an increased risk of kidney stones in US adults, underscoring the need for further large-scale prospective cohort studies to validate these findings.
Collapse
Affiliation(s)
- Zhaoxiang Wang
- Department of Endocrinology, First People’s Hospital of Kunshan, Kunshan, Jiangsu, China
| | - Guang Zhao
- Department of Emergency Medicine, First People’s Hospital of Kunshan, Kunshan, Jiangsu, China
| | - Yuanfei Cao
- Department of Urology, First People’s Hospital of Kunshan, Kunshan, Jiangsu, China
| | - Tian Gu
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
| | - Qichao Yang
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
| |
Collapse
|
2
|
Arefhosseini S, Aghajani T, Tutunchi H, Ebrahimi-Mameghani M. Association of systemic inflammatory indices with anthropometric measures, metabolic factors, and liver function in non-alcoholic fatty liver disease. Sci Rep 2024; 14:12829. [PMID: 38834647 DOI: 10.1038/s41598-024-63381-5] [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: 01/24/2024] [Accepted: 05/28/2024] [Indexed: 06/06/2024] Open
Abstract
The present cross-sectional study aimed to explore the relationship between systemic inflammatory indices (SIIs) and anthropometric measures, metabolic, and liver function biomarkers in patients with non-alcoholic fatty liver disease (NAFLD). This study was carried out on 238 NAFLD patients with overweight or obesity, aged 18-55 years. Anthropometric measurements were done and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were estimated. Metabolic factors including serum glucose, lipid profile, liver function biomarkers, and complete blood cell count were assessed after a 24-h fasting state. SIIs including the ratios of neutrophil to lymphocyte (NLR), monocytes to lymphocyte (MLR), platelet to lymphocyte (PLR), and monocytes to high-density lipoprotein cholesterol (MHR) were calculated. Results indicate that apart from PLR, all of the SIIs significantly changed by increasing steatosis severity (all p < 0.05). Moreover, changes in NLR showed a significant association with anthropometric indices including waist circumference (p = 0.032), BMI (p = 0.047), and WHtR (p = 0.002), as well as levels of fasting blood sugar (p = 0.045), triglycerides, (p = 0.025) and low-density lipoprotein cholesterol (p = 0.006). The findings also indicate the relations between lipid profile and all studied SIIs, notably MHR and MLR. All of the SIIs exhibited associations with some liver function indices as well. MHR was positively correlated with the metabolic risk factors of NAFLD while, oppositely, PLR was considered as a preventive marker of NAFLD.
Collapse
Affiliation(s)
- Sara Arefhosseini
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Taha Aghajani
- Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
| | - Helda Tutunchi
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehrangiz Ebrahimi-Mameghani
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, Faculty of Nutrition & Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
| |
Collapse
|
3
|
Djesevic M, Hasic S, Lepara O, Jahic R, Kurtovic A, Fajkic A. CRP/HDL-C and Monocyte/HDL-C ratios as Predictors of Metabolic Syndrome in Patients With Type 2 Diabetes Mellitus. Acta Inform Med 2023; 31:254-259. [PMID: 38379696 PMCID: PMC10875961 DOI: 10.5455/aim.2023.31.254-259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/14/2023] [Indexed: 02/22/2024] Open
Abstract
Background Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications. Objective To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals. Methods The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients' serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. Results Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients. Conclusion This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.
Collapse
Affiliation(s)
- Miralem Djesevic
- Department of Cardiology, Private Policlinic Center Eurofarm Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Sabaheta Hasic
- Department of Medical Biochemistry, Faculty of Medicine, University of Sarajevo, Bosnia and Herzegovina
| | - Orhan Lepara
- Department of Physiology, Faculty of Medicine, University of Sarajevo, Bosnia and Herzegovina
| | - Rijad Jahic
- General Hospital “Prim. Dr. Abdulah Nakas” Sarajevo, Bosnia and Herzegovina
| | - Avdo Kurtovic
- Clinical Center, University of Tuzla, Bosnia and Herzegovina
| | - Almir Fajkic
- Department of Pathophysiology, Faculty of Medicine, University of Sarajevo, Bosnia and Herzegovina
| |
Collapse
|
4
|
Pan J, Li Q, Sun Y, Gu Y, Ding Y, Pang N, Zhou Y, Pei L, Gao M, Ma S, Xiao Y, Wu F, Hu D, Chen YM, Yang L. Increased Serum Adipsin Correlates with MAFLD and Metabolic Risk Abnormalities. Diabetes Metab Syndr Obes 2023; 16:187-200. [PMID: 36760590 PMCID: PMC9882414 DOI: 10.2147/dmso.s396335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023] Open
Abstract
PURPOSE A panel of international experts proposed a new definition of fatty liver in 2020, namely metabolic dysfunction-associated fatty liver disease (MAFLD). As an adipokine, adipsin is closely related to metabolic-related diseases. In this study, we aimed to evaluate the relationship among MAFLD, serum adipsin, and metabolic risk abnormalities. METHODS Our study was a cross-sectional study based on the first follow-up of the Guangzhou Nutrition and Health Study (GNHS). A total of 908 patients with hepatic steatosis were involved in our study. Detailed data of patients were collected based upon questionnaire information, physical examination, and blood biochemical test. RESULTS Among the 908 patients, 789 patients were diagnosed with MAFLD. The levels of serum adipsin in the MAFLD group and non-MAFLD group were (3543.00 (3187.94-3972.50) ng/mL) and (3095.33 (2778.71-3354.77) ng/mL) (P < 0.001), respectively. After adjusting for potential confounders, adipsin levels were found to be associated with MAFLD. The OR was 3.46 (95% CI: 1.57-7.64) for adipsin when comparing subjects in the highest tertile with those in the lowest tertile. With the increase in the number of metabolic risk abnormalities, both the levels of serum adipsin and the proportion of moderate to severe fatty liver increased (all p-trend < 0.001). CONCLUSION Increased serum adipsin correlates with MAFLD. Both adipsin levels as well as fatty liver severity increase with higher numbers of metabolic risk abnormalities.
Collapse
Affiliation(s)
- Jie Pan
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Qiuyan Li
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yan Sun
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yingying Gu
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yijie Ding
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Nengzhi Pang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yujia Zhou
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Lei Pei
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Mengqi Gao
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Sixi Ma
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Ying Xiao
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Feilong Wu
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - De Hu
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yu-Ming Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Lili Yang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
- Correspondence: Lili Yang, Department of Nutrition, School of Public Health, Sun Yat-sen University, No. 74, Zhongshan Road 2, Yuexiu District, Guangzhou, Guangdong, 510080, People’s Republic of China, Tel +86-20-87330625, Email
| |
Collapse
|
5
|
Song Y, Zhao Y, Shu Y, Zhang L, Cheng W, Wang L, Shu M, Xue B, Wang R, Feng Z, Yin Y, Yu F, Jin S. Combination model of neutrophil to high-density lipoprotein ratio and system inflammation response index is more valuable for predicting peripheral arterial disease in type 2 diabetic patients: A cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1100453. [PMID: 36875480 PMCID: PMC9978802 DOI: 10.3389/fendo.2023.1100453] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/01/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Neutrophil/high-density lipoprotein (HDL) ratio (NHR), monocyte/HDL ratio (MHR), lymphocyte/HDL ratio (LHR), platelet/HDL ratio (PHR), systemic immune-inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI) have been recently investigated as novel inflammatory markers. Herein, the correlation was investigated between these inflammatory biomarkers and peripheral arterial disease (PAD) in type 2 diabetes mellitus (T2DM) patients. METHODS In this retrospective observational study, the hematological parameter data of 216 T2DM patients without PAD (T2DM-WPAD) and 218 T2DM patients with PAD (T2DM-PAD) at Fontaine stages II, III or IV stage had been collected. Differences in NHR, MHR, LHR, PHR, SII, SIRI, and AISI were analyzed, and receiver operating characteristic (ROC) curves were used to analyze the diagnostic potential of these parameters. RESULTS The levels of NHR, MHR, PHR, SII, SIRI and AISI in T2DM-PAD patients were significantly higher than in T2DM-WPAD patients (P < 0.001). They were correlated with disease severity. Further, multifactorial logistic regression analyses showed that higher NHR, MHR, PHR, SII, SIRI, and AISI might be independent risk factors for T2DM-PAD (P < 0.001). The areas under the curve (AUCs) of the NHR, MHR, PHR, SII, SIRI, and AISI for T2DM-PAD patients was 0.703, 0.685, 0.606, 0.648, 0.711, and 0.670, respectively. The AUC of the NHR and SIRI combined model was 0.733. CONCLUSION The levels of NHR, MHR, PHR, SII, SIRI, and AISI were higher in T2DM-PAD patients, and they were independently linked with its clinical severity. The combination model of NHR and SIRI was most valuable for predicting T2DM - PAD.
Collapse
Affiliation(s)
- Yi Song
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhao
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of Endocrinology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Yan Shu
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyin Zhang
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhuo Cheng
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Wang
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Shu
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Baorui Xue
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruonan Wang
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyun Feng
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Yin
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangyang Yu
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Si Jin
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Si Jin,
| |
Collapse
|
6
|
Imig JD. Frontiers in metabolic physiology grand challenges. Front Physiol 2022; 13:879617. [PMID: 36035475 PMCID: PMC9399398 DOI: 10.3389/fphys.2022.879617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
|
7
|
Zhao Y, Xia J, He H, Liang S, Zhang H, Gan W. Diagnostic performance of novel inflammatory biomarkers based on ratios of laboratory indicators for nonalcoholic fatty liver disease. Front Endocrinol (Lausanne) 2022; 13:981196. [PMID: 36518239 PMCID: PMC9742359 DOI: 10.3389/fendo.2022.981196] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION There is few effective biomarkers for diagnosing nonalcoholic fatty liver disease (NAFLD) in clinical practice. This study was aimed to investigate the predictive ability of novel inflammatory biomarkers, including the monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR), for NAFLD. METHODS A total of 4465 outpatients diagnosed with NAFLD and 3683 healthy controls were enrolled between May 2016 and November 2021 from the West China Hospital of Sichuan University, and anthropometric and laboratory examination data were collected. The two-sample Mann-Whitney U test and binary logistic regression analysis were used to evaluate the correlations between four inflammatory biomarkers and NAFLD. The areas under the curves (AUCs) of receiver operating characteristic were used to evaluate their predictive ability for NAFLD. RESULTS The MHR, NLR and LMR were higher in patients with NAFLD than in healthy controls (P<0.001), whereas the PLR was remarkably lower (P<0.001). The OR values of the MHR, NLR, PLR, and LMR were 1.599 (1.543-1.658), 1.250 (1.186-1.317), 0.987(0.986-0.988) and 1.111(1.083-1.139), respectively(P<0.001). After adjusting for confounding factors, MHR was still the most relevant risk factor for NAFLD compared with other inflammatory markers (P<0.001). The AUCs of the MHR, NLR, PLR, and LMR were as follows: 0.663 (0.651-0.675), 0.524 (0.512-0.537), 0.329 (0.318-0.341), and 0.543 (0.530-0.555), respectively (P<0.001). Furthermore, the diagnostic model combining the MHR with alanine aminotransferase, aspartate aminotransferase, total cholesterol, triglycerides, fasting blood glucose, creatinine, uric acid, and body mass index had the best AUC of 0.931 (0.925-0.936). CONCLUSIONS MHR was superior to NLR, PLR and LMR as an inflammatory biomarker in the prediction of NAFLD. When combined with relevant laboratory parameters, the MHR may improve the clinical noninvasive diagnosis of NAFLD.
Collapse
Affiliation(s)
- Yanhua Zhao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Junxiang Xia
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Laboratory Medicine, Sichuan Province Orthopedic Hospital, Chengdu, China
| | - He He
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Shanshan Liang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - He Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Gan
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Wei Gan,
| |
Collapse
|