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Liu X, Yan G, Xu B, Sun M. Association between monocyte-to-high-density lipoprotein-cholesterol ratio and gallstones in U.S. adults: findings from the National Health and Nutrition Examination Survey 2017-2020. Lipids Health Dis 2024; 23:173. [PMID: 38849878 PMCID: PMC11157827 DOI: 10.1186/s12944-024-02166-1] [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: 03/13/2024] [Accepted: 05/26/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Studies have indicated that monocyte-to-high-density lipoprotein cholesterol ratio (MHR) can be a reliable indicator of various diseases. However, the association between MHR and gallstone prevalence remains unclear. Therefore, this study aimed to explore any potential association between MHR and gallstone prevalence. METHODS This study used data from the National Health and Nutrition Examination Survey (NHANES) 2017-March 2020. MHR was calculated as the monocyte count ratio to high-density lipoprotein cholesterol levels. Multiple logistic regression models, Cochran-Armitage trend test, and subgroup analyses were used to examine the association between MHR and gallstones. RESULTS This study included 5907 participants, of whom 636 (10.77%) were gallstone formers. The study participants had a mean age of 50.78 ± 17.33 years. After accounting for multiple covariables, the multiple logistic regression model showed a positive linear association between MHR and gallstone odds. The subgroup analyses and interaction testing results revealed that the association between MHR and gallstones was statistically different across strata, including sex, smoking, asthma, and hypertension. CONCLUSIONS Gallstone prevalence positively associated with elevated MHR, indicating that MHR can be employed as a clinical indicator to assess gallstone prevalence.
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Affiliation(s)
- Xingwu Liu
- Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, China
| | - Guanyu Yan
- Department of Endoscopy, The First Hospital of China Medical University, Shenyang, China
| | - Boyang Xu
- Department of Endoscopy, The First Hospital of China Medical University, Shenyang, China.
| | - Mingjun Sun
- Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, China.
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Caimi G, Lo Presti R, Urso C, Brucculeri S, Carlisi M. Neutrophil/HDL-C, Lymphocyte/HDL-C and Monocyte/HDL-C in subjects with asymptomatic carotid atherosclerosis. Clin Hemorheol Microcirc 2024:CH232019. [PMID: 38758993 DOI: 10.3233/ch-232019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Abstract
BACKGROUND Leukocyte count is a prognostic marker for cardiovascular diseases, with key role in atherosclerosis development. Specific number of neutrophils, lymphocytes and monocytes can predict cardiovascular risk, also in asymptomatic subjects. Among the lipoprotein fractions, HDL-C is a protective factor in the cardiovascular disorders. For the above reason, we have examined the peripheral count of leukocytes, neutrophils, lymphocytes and monocytes, and the ratios between neutrophils/HDL-cholesterol, lymphocytes/HDL-cholesterol, and monocytes/HDL-cholesterol, to evaluate the possible utility of the obtained values in progression of asymptomatic carotid atherosclerosis. METHODS We performed our analysis in a cohort of 100 subjects with asymptomatic carotid atherosclerosis, of which 43 men and 57 women. The data were expressed as medians and IQR. To analyse the differences in leukocyte, neutrophil, lymphocyte, monocytes count and their ratio with HDL-cholesterol the Mann-Whitney test was employed. RESULTS The peripheral count of leukocyte subtypes and the ratios, they change in relation to the number of cardiovascular risk factors and the degree of insulin resistance. CONCLUSIONS In this cohort of subjects, the percentage of observed cardiovascular risk factors significantly affect some leukocyte parameters. These results, allow us to underline the importance of the leukocyte indices in the evaluation of subjects with asymptomatic vascular atherosclerosis.
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Affiliation(s)
- Gregorio Caimi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Rosalia Lo Presti
- Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy
| | - Caterina Urso
- Fondazione Istituto "G. Giglio" Cefalù, Palermo, Italy
| | | | - Melania Carlisi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
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Ruan C, Li Y, Ran Z, Liu G, Li W, Zhang X, Shao S, Li Y. Association Between Monocyte-to-High-Density Lipoprotein Ratio and Prediabetes: A Cross-Sectional Study in Chinese Population. Diabetes Metab Syndr Obes 2024; 17:1093-1103. [PMID: 38450416 PMCID: PMC10916517 DOI: 10.2147/dmso.s451189] [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: 11/22/2023] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
Background The monocyte-to-high-density lipoprotein cholesterol (MHR) ratio has been linked to metabolic disorders. However, there is limited research on the predisposition to MHR and prediabetes. Hence, we conducted a study to investigate the relationship between MHR and the prevalence of prediabetes. Methods In total, 85,293 participants were included in our cross-sectional observational study. Multivariable regression analysis, subgroup analyses, and interaction testing were used to determine the relationship between MHR and prediabetes. To explore the non-linear association of MHR with prediabetes risk, generalized additive model (GAM) and smoothing splines were applied. The threshold effect analysis of MHR on the risk of prediabetes was further employed to identify the turning point. Results After controlling for covariates, the results indicated that a positive correlation persisted between MHR and prediabetes (odds ratio (OR) =1.64, 95% confidence interval (CI), 1.48-1.82), and subgroup analyses found a more robust correlation between MHR and prediabetes in individuals with lower age, SBP, DBP, TG, TC and higher values of BMI and LDL-C than in their counterparts. Additionally, the correlation between MHR and the risk of prediabetes was found to be non-linear, with a turning point of -0.4 (Log-Likelihood Ratio, P< 0.001). The impact of variables on the two sides of the turning point were 1.94 (1.72, 2.19) and 0.88 (0.69, 1.14). Conclusion The positive correlation between MHR and the risk of prediabetes in Chinese participants was observed to be non-linear, and MHR ≤ -0.4 was strongly positively correlated with prediabetes risk.
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Affiliation(s)
- Cairong Ruan
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yuchen Li
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Zijing Ran
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Guodong Liu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Weihao Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Xinyu Zhang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Shanshan Shao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yuan Li
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Institute of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
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Wang Y, Wang J, Tao SY, Liang Z, Xie R, Liu NN, Deng R, Zhang Y, Deng D, Jiang G. Mitochondrial damage-associated molecular patterns: A new insight into metabolic inflammation in type 2 diabetes mellitus. Diabetes Metab Res Rev 2024; 40:e3733. [PMID: 37823338 DOI: 10.1002/dmrr.3733] [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: 05/04/2023] [Revised: 07/18/2023] [Accepted: 09/08/2023] [Indexed: 10/13/2023]
Abstract
The pathogenesis of diabetes is accompanied by increased levels of inflammatory factors, also known as "metabolic inflammation", which runs through the whole process of the occurrence and development of the disease. Mitochondria, as the key site of glucose and lipid metabolism, is often accompanied by mitochondrial function damage in type 2 diabetes mellitus (T2DM). Damaged mitochondria release pro-inflammatory factors through damage-related molecular patterns that activate inflammation pathways and reactions to oxidative stress, further aggravate metabolic disorders, and form a vicious circle. Currently, the pathogenesis of diabetes is still unclear, and clinical treatment focuses primarily on symptomatic intervention of the internal environment of disorders of glucose and lipid metabolism with limited clinical efficacy. The proinflammatory effect of mitochondrial damage-associated molecular pattern (mtDAMP) in T2DM provides a new research direction for exploring the pathogenesis and intervention targets of T2DM. Therefore, this review covers the most recent findings on the molecular mechanism and related signalling cascades of inflammation caused by mtDAMP in T2DM and discusses its pathogenic role of it in the pathological process of T2DM to search potential intervention targets.
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Affiliation(s)
- Yan Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jingwu Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Si-Yu Tao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | | | - Rong Xie
- Xinjiang Medical University, Urumqi, China
| | - Nan-Nan Liu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ruxue Deng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yuelin Zhang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Deqiang Deng
- Department of Endocrinology, Urumqi Hospital of Traditional Chinese Medicine, Urumqi, China
| | - Guangjian Jiang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Tarabeih N, Kalinkovich A, Ashkenazi S, Cherny SS, Shalata A, Livshits G. Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study. Int J Mol Sci 2024; 25:881. [PMID: 38255954 PMCID: PMC10815336 DOI: 10.3390/ijms25020881] [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: 12/06/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Metabolic syndrome (MetS) is a complex disease involving multiple physiological, biochemical, and metabolic abnormalities. The search for reliable biomarkers may help to better elucidate its pathogenesis and develop new preventive and therapeutic strategies. In the present population-based study, we looked for biomarkers of MetS among obesity- and inflammation-related circulating factors and body composition parameters in 1079 individuals (with age range between 18 and 80) belonging to an ethnically homogeneous population. Plasma levels of soluble markers were measured by using ELISA. Body composition parameters were assessed using bioimpedance analysis (BIA). Statistical analysis, including mixed-effects regression, with MetS as a dependent variable, revealed that the most significant independent variables were mainly adipose tissue-related phenotypes, including fat mass/weight (FM/WT) [OR (95% CI)], 2.77 (2.01-3.81); leptin/adiponectin ratio (L/A ratio), 1.50 (1.23-1.83); growth and differentiation factor 15 (GDF-15) levels, 1.32 (1.08-1.62); inflammatory markers, specifically monocyte to high-density lipoprotein cholesterol ratio (MHR), 2.53 (2.00-3.15), and a few others. Additive Bayesian network modeling suggests that age, sex, MHR, and FM/WT are directly associated with MetS and probably affect its manifestation. Additionally, MetS may be causing the GDF-15 and L/A ratio. Our novel findings suggest the existence of complex, age-related, and possibly hierarchical relationships between MetS and factors associated with obesity.
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Affiliation(s)
- Nader Tarabeih
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
| | - Shai Ashkenazi
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
| | - Stacey S. Cherny
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 32000, Israel;
| | - Gregory Livshits
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
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Romo-Cordero A, González-Sierra M, Quevedo-Abeledo JC, Quevedo-Rodríguez A, Gómez-Bernal F, de Vera-González A, López-Mejías R, Jiménez-Sosa A, Martín-González C, González-Gay MÁ, Ferraz-Amaro I. The Ratio of Monocytes to HDL-Cholesterol Is Associated with Cardiovascular Risk and Insulin Resistance in Patients with Rheumatoid Arthritis. Life (Basel) 2023; 13:1995. [PMID: 37895377 PMCID: PMC10608697 DOI: 10.3390/life13101995] [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: 09/19/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/29/2023] Open
Abstract
The monocytes to high-density lipoprotein (HDL)-cholesterol ratio (MHR) indicates inflammation based on the anti-inflammatory properties of HDL-cholesterol as well as the pro-inflammatory effect of monocytes. Several studies have investigated MHR in various disorders, specifically in cardiovascular diseases. Consequently, MHR has been significantly associated with cardiovascular and all-cause mortality in the general population, regardless of established risk factors. However, its role in the augmented risk of cardiovascular disease found in rheumatoid arthritis (RA) has not been studied to date. This is a cross-sectional study that encompassed 430 patients with RA and 208 controls matched by sex and age. Complete blood cell count and complete lipid profile were evaluated. Multivariable analysis was made to analyze the relationship between MHR and RA disease and features subclinical carotid atherosclerosis, and traditional CV factors including insulin resistance and beta cell function indices. MHR values did not differ between controls and patients after multivariable adjustment (12 ± 6 vs. 11 ± 6, p = 0.18). No relationship between this ratio and the characteristics of the disease was found excluding ESR, which showed a significant and positive association with MHR after adjustment for covariates. MHR significantly correlated with Systematic Coronary Risk Evaluation-2 (SCORE2) cardiovascular risk algorithm, and insulin resistance and beta cell function parameters after adjustment. In conclusion, MHR does not differ between patients with RA and controls. The relationship of this biomarker with disease-related data is poor. However, MHR is highly and positively related to cardiovascular risk and insulin resistance in RA.
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Affiliation(s)
- Alejandro Romo-Cordero
- Division of Internal Medicine, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (A.R.-C.); (C.M.-G.)
| | - Marta González-Sierra
- Division of Hospitalization-at-Home, Hospital Universitario de Canarias, 38320 Tenerife, Spain;
| | - Juan Carlos Quevedo-Abeledo
- Division of Rheumatology, Hospital Universitario Dr. Negrín, 35010 Las Palmas de Gran Canaria, Spain; (J.C.Q.-A.); (A.Q.-R.)
| | - Adrián Quevedo-Rodríguez
- Division of Rheumatology, Hospital Universitario Dr. Negrín, 35010 Las Palmas de Gran Canaria, Spain; (J.C.Q.-A.); (A.Q.-R.)
| | - Fuensanta Gómez-Bernal
- Division of Central Laboratory, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (F.G.-B.); (A.d.V.-G.)
| | - Antonia de Vera-González
- Division of Central Laboratory, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (F.G.-B.); (A.d.V.-G.)
| | - Raquel López-Mejías
- Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Instituto de Investigación Sanitaria Marqués de Valdecilla (IDIVAL), Hospital Universitario Marqués de Valdecilla, 39011 Santander, Spain;
| | | | - Candelaria Martín-González
- Division of Internal Medicine, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (A.R.-C.); (C.M.-G.)
- Internal Medicine Department, Universidad de La Laguna, 38200 Tenerife, Spain
| | - Miguel Ángel González-Gay
- Department of Medicine and Psychiatry, Universidad de Cantabria, 39005 Santander, Spain
- Division of Rheumatology, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain
| | - Iván Ferraz-Amaro
- Internal Medicine Department, Universidad de La Laguna, 38200 Tenerife, Spain
- Division of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain
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Butnariu LI, Gorduza EV, Țarcă E, Pânzaru MC, Popa S, Stoleriu S, Lupu VV, Lupu A, Cojocaru E, Trandafir LM, Moisă ȘM, Florea A, Stătescu L, Bădescu MC. Current Data and New Insights into the Genetic Factors of Atherogenic Dyslipidemia Associated with Metabolic Syndrome. Diagnostics (Basel) 2023; 13:2348. [PMID: 37510094 PMCID: PMC10378477 DOI: 10.3390/diagnostics13142348] [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: 06/19/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Atherogenic dyslipidemia plays a critical role in the development of metabolic syndrome (MetS), being one of its major components, along with central obesity, insulin resistance, and hypertension. In recent years, the development of molecular genetics techniques and extended analysis at the genome or exome level has led to important progress in the identification of genetic factors (heritability) involved in lipid metabolism disorders associated with MetS. In this review, we have proposed to present the current knowledge related to the genetic etiology of atherogenic dyslipidemia, but also possible challenges for future studies. Data from the literature provided by candidate gene-based association studies or extended studies, such as genome-wide association studies (GWAS) and whole exome sequencing (WES,) have revealed that atherogenic dyslipidemia presents a marked genetic heterogeneity (monogenic or complex, multifactorial). Despite sustained efforts, many of the genetic factors still remain unidentified (missing heritability). In the future, the identification of new genes and the molecular mechanisms by which they intervene in lipid disorders will allow the development of innovative therapies that act on specific targets. In addition, the use of polygenic risk scores (PRS) or specific biomarkers to identify individuals at increased risk of atherogenic dyslipidemia and/or other components of MetS will allow effective preventive measures and personalized therapy.
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Affiliation(s)
- Lăcramioara Ionela Butnariu
- Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Eusebiu Vlad Gorduza
- Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Elena Țarcă
- Department of Surgery II-Pediatric Surgery, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Monica-Cristina Pânzaru
- Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Setalia Popa
- Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Simona Stoleriu
- Odontology-Periodontology, Fixed Prosthesis Department, Faculty of Dental Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Vasile Valeriu Lupu
- Department of Pediatrics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Ancuta Lupu
- Department of Pediatrics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Elena Cojocaru
- Department of Morphofunctional Sciences I, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Laura Mihaela Trandafir
- Department of Pediatrics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Ștefana Maria Moisă
- Department of Pediatrics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Andreea Florea
- Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Laura Stătescu
- Medical III Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Minerva Codruța Bădescu
- III Internal Medicine Clinic, "St. Spiridon" County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
- Department of Internal Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania
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Ulloque-Badaracco JR, Al-Kassab-Córdova A, Hernandez-Bustamante EA, Alarcon-Braga EA, Huayta-Cortez M, Carballo-Tello XL, Seminario-Amez RA, Herrera-Añazco P, Benites-Zapata VA. Association of apolipoproteins and lipoprotein(a) with metabolic syndrome: a systematic review and meta-analysis. Lipids Health Dis 2023; 22:98. [PMID: 37420190 DOI: 10.1186/s12944-023-01860-w] [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: 05/30/2023] [Accepted: 06/26/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND & AIMS Apolipoproteins and lipoprotein(a) are associated with various cardiometabolic diseases, including insulin resistance, diabetes mellitus, hypertension, dyslipidemia, among others. This systematic review and meta-analysis was conducted to evaluate the association of these markers with metabolic syndrome (MetS). METHODS We ran a systematic search through PubMed, Scopus, Embase, Ovid/Medline, and Web of Science on March 15, 2023. No language or date restrictions were applied. The only synthesised effect measure reported was the odds ratio (OR) with its corresponding 95% confidence interval (95% CI). We utilised the random-effects model for the quantitative synthesis. RESULTS We analysed 50 studies (n = 150 519) with different definitions for MetS. Increased ApoB values were associated with MetS (OR = 2.8; 95% CI: 2.44-3.22; p < 0.01, I2 = 99%). Decreased ApoA1 values were associated with MetS (OR = 0.42; 95% CI: 0.38-0.47; p < 0.01, I2 = 99%). Increased values of the ApoB/ApoA1 ratio were associated with MetS (OR = 4.97; 95% CI: 3.83-6.44; p < 0.01, I2 = 97%). Decreased values of Lp(a) were associated with MetS (OR = 0.89; 95% CI: 0.82-0.96; p < 0.01; I2 = 92%). CONCLUSIONS Increased values of ApoB and ApoB/ApoA1 ratio are associated with MetS, while decreased values of ApoA1 and Lp(a) are associated with MetS. These findings suggest that these lipid markers may serve as potential indicators for identifying subjects at risk of developing MetS. However, further research is required to elucidate the underlying mechanisms of these associations.
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Affiliation(s)
| | - Ali Al-Kassab-Córdova
- Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Enrique A Hernandez-Bustamante
- Grupo Peruano de Investigación Epidemiológica, Unidad Para La Generación Y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
- Sociedad Científica de Estudiantes de Medicina de La Universidad Nacional de Trujillo, Trujillo, Peru
| | | | - Miguel Huayta-Cortez
- Facultad de Ciencias de La Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | | | - Rosa A Seminario-Amez
- Facultad de Ciencias de La Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Percy Herrera-Añazco
- Universidad Privada del Norte, Trujillo, Peru
- Red Peruana de Salud Colectiva, Lima, Peru
| | - Vicente A Benites-Zapata
- Vicerrectorado de Investigación, Unidad de Investigación Para La Generación Y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
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Shnayder NA, Grechkina VV, Trefilova VV, Efremov IS, Dontceva EA, Narodova EA, Petrova MM, Soloveva IA, Tepnadze LE, Reznichenko PA, Al-Zamil M, Altynbekova GI, Strelnik AI, Nasyrova RF. Valproate-Induced Metabolic Syndrome. Biomedicines 2023; 11:biomedicines11051499. [PMID: 37239168 DOI: 10.3390/biomedicines11051499] [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: 05/03/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
Valproic acid (VPA) and its salts (sodium calcium magnesium and orotic) are psychotropic drugs that are widely used in neurology and psychiatry. The long-term use of VPA increases the risk of developing adverse drug reactions (ADRs), among which metabolic syndrome (MetS) plays a special role. MetS belongs to a cluster of metabolic conditions such as abdominal obesity, high blood pressure, high blood glucose, high serum triglycerides, and low serum high-density lipoprotein. Valproate-induced MetS (VPA-MetS) is a common ADR that needs an updated multidisciplinary approach to its prevention and diagnosis. In this review, we consider the results of studies of blood (serum and plasma) and the urinary biomarkers of VPA-MetS. These metabolic biomarkers may provide the key to the development of a new multidisciplinary personalized strategy for the prevention and diagnosis of VPA-MetS in patients with neurological diseases, psychiatric disorders, and addiction diseases.
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Affiliation(s)
- Natalia A Shnayder
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Violetta V Grechkina
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
| | - Vera V Trefilova
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- Department of Neurology, Hospital for War Veterans, 193079 Saint Petersburg, Russia
| | - Ilya S Efremov
- Department of Psychiatry and Narcology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Evgenia A Dontceva
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
- Federal Centre for Neurosurgery, 630087 Novosibirsk, Russia
| | - Ekaterina A Narodova
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Marina M Petrova
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Irina A Soloveva
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Liia E Tepnadze
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Polina A Reznichenko
- Shared Core Facilities "Molecular and Cell Technologies", V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
| | - Mustafa Al-Zamil
- Department of Physiotherapy, Faculty of Continuing Medical Education, Peoples' Friendship University of Russia, 117198 Moscow, Russia
| | - Gulnara I Altynbekova
- Department of Psychiatry and Narcology, S.D. Asfendiarov Kazakh National Medical University, Almaty 050022, Kazakhstan
| | - Anna I Strelnik
- International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, 443016 Samara, Russia
| | - Regina F Nasyrova
- Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia
- International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, 443016 Samara, Russia
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Lin Z, Luo C, Yuan Y. The Ratio of Monocyte to Apolipoprotein A1 is an Independent Predictor of Breast Cancer: A Retrospective Study. Cancer Manag Res 2023; 15:423-432. [PMID: 37214188 PMCID: PMC10198180 DOI: 10.2147/cmar.s402770] [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: 01/31/2023] [Accepted: 05/06/2023] [Indexed: 05/24/2023] Open
Abstract
Objective To explore the predictive value of the ratio of monocyte to apolipoprotein A1 (MAR) (a new index related to inflammation and lipid in breast cancer (BC)) and its relationship with clinicopathological staging. Methods The hematological test results of 394 patients with breast diseases, including 276 cases of BC, 118 cases of benign breast disease (BBD), and 219 healthy volunteers (HV), were retrospectively collected. The clinical value of MAR was analyzed with binary logistic regression. Results Using statistical software analysis, the results showed that MAR level (P<0.001) was the largest in the BC group, followed by BBD, and the lowest in the HV group, and it was found to be an indicator to distinguish BC from BBD, also an independent risk factor for BC. The increase in MAR level showed that the risk of BC was 3.733 times higher than that of HV (P<0.001). In addition, there was a notable difference in MAR between early, middle and late stages of BC patients (P=0.047), with the highest MAR level in late stage (0.510±0.078) and the lowest MAR level in early stage (0.392±0.011); the MAR level of those with tumor invasion depth of Phase 4 was the highest (0.484±0.072), and that of Phase 1/2 was the lowest (0.379±0.010), with a statistically significant difference (P<0.001). MAR was positively correlated with tumor invasion depth (P<0.001, r=0.210), that's, the size of MAR increased when there was more deeper tumor invasion. Conclusion MAR is a new indicator for the auxiliary differential diagnosis of benign and malignant breast diseases, and is also an independent risk factor for BC. High-level MAR is closely related to late staging and tumor invasion depth of BC. It can be seen that MAR is a potentially valuable predictor of BC, and this is the first study to explore the clinical value of MAR in BC.
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Affiliation(s)
- Zhongyuan Lin
- Department of Clinical Laboratory, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Changliang Luo
- Department of Clinical Laboratory, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Yulin Yuan
- Department of Clinical Laboratory, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
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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.
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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,
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