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Yadav R, Obinata H, Venkataraman K. Delineating the intricacies of polymorphisms, structures, functions and therapeutic applications of biological high-density lipoprotein-apolipoprotein M: A review. Int J Biol Macromol 2025; 310:143187. [PMID: 40246118 DOI: 10.1016/j.ijbiomac.2025.143187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2025] [Revised: 02/21/2025] [Accepted: 04/14/2025] [Indexed: 04/19/2025]
Abstract
Apolipoprotein-M (ApoM), primarily associated with high-density lipoproteins (HDL), plays a crucial role in lipid metabolism and cardiovascular health. It facilitates the transport of lipids such as cholesterol and sphingosine-1-phosphate (S1P), contributing to reverse cholesterol transport (RCT), which removes excess cholesterol from peripheral tissues to the liver for excretion. Through its association with HDL and S1P, ApoM exerts anti-inflammatory, anti-thrombotic, and anti-apoptotic effects. The ApoM-S1P complex regulates various cellular, immunological, and physiological processes via S1P receptors, and its dysregulation is linked to metabolic and inflammatory disorders. Reduced plasma ApoM levels are associated with atherosclerosis, diabetes, and chronic systemic inflammation. ApoM levels and paraoxonase-1 activity in early pregnancy correlate with gestational hypertension risk, potentially affecting fetal vascular health. ApoM also functions as a S1P chaperone, and recent research highlights the roles of ApoM/S1P axis and the ApoA1-ApoM (A1M) complex in glucose and lipid metabolism, emphasizing its therapeutic relevance in cardiovascular diseases (CVD), cancer, and diabetes. The ApoM-Fc fusion protein exhibits promising therapeutic potential by reducing fibrosis, enhancing endothelial function, and promoting tissue regeneration. HDL-ApoM macromolecules bind bacterial endotoxins and aids in its clearance. This review explores ApoM gene organization, isoforms, point mutations, protein structure, functions and their relevance for developing novel therapeutics.
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Affiliation(s)
- Rahul Yadav
- Centre for Bio-Separation Technology (CBST), Vellore Institute of Technology (VIT), Vellore, INDIA
| | - Hideru Obinata
- Education and Research Support Center, Graduate School of Medicine, Gunma University, Gunma, JAPAN
| | - Krishnan Venkataraman
- Centre for Bio-Separation Technology (CBST), Vellore Institute of Technology (VIT), Vellore, INDIA.
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Pan C, Qi X, Yang X, Cheng B, Cheng S, Liu L, Meng P, He D, Wei W, Hui J, Zhao B, Wen Y, Jia Y, Liu H, Zhang F. Large-scale plasma proteomics uncovers novel targets linking ambient air pollution and depression. Mol Psychiatry 2025:10.1038/s41380-025-02953-x. [PMID: 40108257 DOI: 10.1038/s41380-025-02953-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 02/12/2025] [Accepted: 03/11/2025] [Indexed: 03/22/2025]
Abstract
Despite the growing recognition of association between air pollution and increased risk of depression, the intricate biological mechanisms underlying it remains unclear. In this study, a total of 1463 plasma proteins were measured by the Olink Explore platform for 50,553 participants in a large prospective cohort. Four air pollutants were assessed using land-use regression models: particulate matter with aerodynamic diameter ≤ 2.5μm (PM2.5), particulate matter with aerodynamic diameter > 2.5μm and ≤ 10μm (PM2.5-10), nitrogen dioxide (NO2), and nitric oxide (NO). The air pollution index was calculated using principal components analysis to assess joint exposure to air pollution. Logistic regression and Cox proportional hazards regression analyses were respectively used to explore the impact of the interaction between air pollution exposure and plasma proteins on the prevalence and incidence of depression. Functional enrichment analysis and drug prediction analysis were conducted to explore the biological mechanisms and drugs associated with identified plasma proteins with interaction effects. Logistic regression analysis detected seven significant air pollutant and plasma protein interactions for the prevalence of depression, such as CDHR5 vs. PM2.5 (OR: 0.58; 95% CI: 0.48-0.71), TNFRSF13C vs. NO (OR :0.70, 95% CI: 0.58-0.84) and ICAM5 vs. air pollution index (OR: 1.38, 95% CI: 1.17-1.63). Two significant interactions were identified for the incidence of depression: CDHR5 vs. PM2.5 (HR: 0.62, 95% CI: 0.50-0.76) and HSD11B1 vs. PM2.5 (HR: 1.48, 95% CI: 1.22-1.81). The plasma proteins that interacted with air pollutants were enriched in various Gene Ontology terms and pathways involving immunity, endocrine, inflammation, neurological function and metabolism, such as neuroinflammatory response, neuron projection guidance, regulation of lymphocyte mediated immunity, steroid biosynthetic process and lipid digestion. We also found that these proteins interacted with multiple drugs, such as risperidone, olanzapine and progesterone. This study identified novel targets linking ambient air pollution and depression, providing the insights for biological mechanisms of air pollution affecting the risk of depression.
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Affiliation(s)
- Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P. R. China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Dan He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Wenming Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingni Hui
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Boyue Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huan Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P. R. China.
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Muendlein A, Heinzle C, Brandtner EM, Leiherer A, Geiger K, Gaenger S, Drexel H, Dechow T, Decker T. Plasma apolipoprotein M predicts overall survival in metastatic breast cancer patients. Breast Cancer Res Treat 2023; 201:571-576. [PMID: 37490173 DOI: 10.1007/s10549-023-07045-4] [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: 05/10/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023]
Abstract
PURPOSE Apolipoprotein M (APOM) is a plasma apolipoprotein closely involved with lipid metabolism and inflammation. In vitro studies suggest that APOM may also have a tumor-suppressive role in breast cancer. In the present study, we aimed to evaluate the impact of plasma APOM levels on the prognosis of breast cancer patients. METHODS We measured APOM levels using an enzyme-linked immunosorbent assay in 75 patients with ER-positive/HER2-negative metastatic breast cancer. The endpoint was overall survival (OS) at 24 months. RESULTS During the 24-month follow-up period, 34.7% of the patients died. Baseline APOM levels were significantly reduced in patients who deceased during follow-up compared to survivors (42.7 ± 14.5 µg/mL versus 52.2 ± 13.8 µg/mL; P = 0.003). Cox regression analysis showed a hazard ratio of 0.30 [95% confidence interval 0.15-0.61]; P < 0.001 per doubling of APOM levels. Correction for age, C-reactive protein, menopausal state, histology of the primary tumor, metastatic site, number of metastases, endocrine resistance, scheduled therapy line, and kind of scheduled therapy indicated that circulating APOM predicted OS independently of these parameters (HRper doubling = 0.23 [0.09-0.56; P = 0.001). CONCLUSIONS Our study suggests that circulating APOM is significantly linked with reduced mortality in metastatic breast cancer patients.
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Affiliation(s)
- Axel Muendlein
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria.
| | - Christine Heinzle
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
- Medical Central Laboratories, Feldkirch, Austria
| | - Eva Maria Brandtner
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
| | - Andreas Leiherer
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
- Medical Central Laboratories, Feldkirch, Austria
| | - Kathrin Geiger
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
- Medical Central Laboratories, Feldkirch, Austria
| | - Stella Gaenger
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
| | - Heinz Drexel
- Vorarlberg Institute for Vascular Investigation and Treatment Laboratory, Stadtstrasse 33, 6850, Dornbirn, Austria
- Drexel University College of Medicine, Philadelphia, PA, USA
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Kashfi K, Kannikal J, Nath N. Macrophage Reprogramming and Cancer Therapeutics: Role of iNOS-Derived NO. Cells 2021; 10:3194. [PMID: 34831416 PMCID: PMC8624911 DOI: 10.3390/cells10113194] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/09/2021] [Accepted: 11/14/2021] [Indexed: 12/15/2022] Open
Abstract
Nitric oxide and its production by iNOS is an established mechanism critical to tumor promotion or suppression. Macrophages have important roles in immunity, development, and progression of cancer and have a controversial role in pro- and antitumoral effects. The tumor microenvironment consists of tumor-associated macrophages (TAM), among other cell types that influence the fate of the growing tumor. Depending on the microenvironment and various cues, macrophages polarize into a continuum represented by the M1-like pro-inflammatory phenotype or the anti-inflammatory M2-like phenotype; these two are predominant, while there are subsets and intermediates. Manipulating their plasticity through programming or reprogramming of M2-like to M1-like phenotypes presents the opportunity to maximize tumoricidal defenses. The dual role of iNOS-derived NO also influences TAM activity by repolarization to tumoricidal M1-type phenotype. Regulatory pathways and immunomodulation achieve this through miRNA that may inhibit the immunosuppressive tumor microenvironment. This review summarizes the classical physiology of macrophages and polarization, iNOS activities, and evidence towards TAM reprogramming with current information in glioblastoma and melanoma models, and the immunomodulatory and therapeutic options using iNOS or NO-dependent strategies.
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Affiliation(s)
- Khosrow Kashfi
- Department of Molecular, Cellular, and Biomedical Sciences, Sophie Davis School of Biomedical Education, City University of New York School of Medicine, New York, NY 10031, USA;
- Graduate Program in Biology, City University of New York Graduate Center, New York, NY 10016, USA
| | - Jasmine Kannikal
- Department of Biological and Chemical Sciences, College of Arts and Sciences, New York Institute of Technology, New York, NY 10023, USA;
| | - Niharika Nath
- Department of Biological and Chemical Sciences, College of Arts and Sciences, New York Institute of Technology, New York, NY 10023, USA;
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Adipose-Derived Lipid-Binding Proteins: The Good, the Bad and the Metabolic Diseases. Int J Mol Sci 2021; 22:ijms221910460. [PMID: 34638803 PMCID: PMC8508731 DOI: 10.3390/ijms221910460] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/15/2022] Open
Abstract
Adipose tissue releases a large range of bioactive factors called adipokines, many of which are involved in inflammation, glucose homeostasis and lipid metabolism. Under pathological conditions such as obesity, most of the adipokines are upregulated and considered as deleterious, due to their pro-inflammatory, pro-atherosclerotic or pro-diabetic properties, while only a few are downregulated and would be designated as beneficial adipokines, thanks to their counteracting properties against the onset of comorbidities. This review focuses on six adipose-derived lipid-binding proteins that have emerged as key factors in the development of obesity and diabetes: Retinol binding protein 4 (RBP4), Fatty acid binding protein 4 (FABP4), Apolipoprotein D (APOD), Lipocalin-2 (LCN2), Lipocalin-14 (LCN14) and Apolipoprotein M (APOM). These proteins share structural homology and capacity to bind small hydrophobic molecules but display opposite effects on glucose and lipid metabolism. RBP4 and FABP4 are positively associated with metabolic syndrome, while APOD and LCN2 are ubiquitously expressed proteins with deleterious or beneficial effects, depending on their anatomical site of expression. LCN14 and APOM have been recently identified as adipokines associated with healthy metabolism. Recent findings on these lipid-binding proteins exhibiting detrimental or protective roles in human and murine metabolism and their involvement in metabolic diseases are also discussed.
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