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Di Martino E, Ambikan A, Ramsköld D, Umekawa T, Giatrellis S, Vacondio D, Romero AL, Galán MG, Sandberg R, Ådén U, Lauschke VM, Neogi U, Blomgren K, Kele J. Inflammatory, metabolic, and sex-dependent gene-regulatory dynamics of microglia and macrophages in neonatal hippocampus after hypoxia-ischemia. iScience 2024; 27:109346. [PMID: 38500830 PMCID: PMC10945260 DOI: 10.1016/j.isci.2024.109346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/02/2024] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
Neonatal hypoxia-ischemia (HI) is a major cause of perinatal death and long-term disabilities worldwide. Post-ischemic neuroinflammation plays a pivotal role in HI pathophysiology. In the present study, we investigated the temporal dynamics of microglia (CX3CR1GFP/+) and infiltrating macrophages (CCR2RFP/+) in the hippocampi of mice subjected to HI at postnatal day 9. Using inflammatory pathway and transcription factor (TF) analyses, we identified a distinct post-ischemic response in CCR2RFP/+ cells characterized by differential gene expression in sensome, homeostatic, matrisome, lipid metabolic, and inflammatory molecular signatures. Three days after injury, transcriptomic signatures of CX3CR1GFP/+ and CCR2RFP/+ cells isolated from hippocampi showed a partial convergence. Interestingly, microglia-specific genes in CX3CR1GFP/+ cells showed a sexual dimorphism, where expression returned to control levels in males but not in females during the experimental time frame. These results highlight the importance of further investigations on metabolic rewiring to pave the way for future interventions in asphyxiated neonates.
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Affiliation(s)
- Elena Di Martino
- Department of Women’s and Children’s Health, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
| | - Anoop Ambikan
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Huddinge, Sweden
| | - Daniel Ramsköld
- Department of Cell and Molecular Biology, Karolinska Institutet, 17165 Stockholm, Sweden
| | - Takashi Umekawa
- Department of Women’s and Children’s Health, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Sarantis Giatrellis
- Department of Cell and Molecular Biology, Karolinska Institutet, 17165 Stockholm, Sweden
| | - Davide Vacondio
- Department of Women’s and Children’s Health, Karolinska Institutet, 17177 Stockholm, Sweden
| | | | - Marta Gómez Galán
- Department of Physiology and Pharmacology, Karolinska Institutet, 17165 Stockholm, Sweden
| | - Rickard Sandberg
- Department of Cell and Molecular Biology, Karolinska Institutet, 17165 Stockholm, Sweden
| | - Ulrika Ådén
- Department of Women’s and Children’s Health, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
- Neonatology, Karolinska University Hospital, Stockholm, Sweden
| | - Volker M. Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, 17165 Stockholm, Sweden
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tuebingen, 72074 Tuebingen, Germany
| | - Ujjwal Neogi
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Huddinge, Sweden
| | - Klas Blomgren
- Department of Women’s and Children’s Health, Karolinska Institutet, 17177 Stockholm, Sweden
- Pediatric Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Julianna Kele
- Department of Physiology and Pharmacology, Karolinska Institutet, 17165 Stockholm, Sweden
- Team Neurovascular Biology and Health, Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Huddinge, Sweden
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Bao B, Xu S, Sun P, Zheng L. Neutrophil to albumin ratio: a biomarker in non-alcoholic fatty liver disease and with liver fibrosis. Front Nutr 2024; 11:1368459. [PMID: 38650638 PMCID: PMC11033504 DOI: 10.3389/fnut.2024.1368459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 03/27/2024] [Indexed: 04/25/2024] Open
Abstract
Objective Given the high prevalence of non-alcoholic fatty liver disease (NAFLD) and its potential to progress to liver fibrosis, it is crucial to identify the presence of NAFLD in patients to guide their subsequent management. However, the current availability of non-invasive biomarkers for NAFLD remains limited. Therefore, further investigation is needed to identify and develop non-invasive biomarkers for NAFLD. Methods A retrospective analysis was conducted on 11,883 patients admitted to the Healthcare Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from January 2016 to December 2019 and divided into NAFLD and non-NAFLD groups. Anthropometric and laboratory examination data were collected. The correlations between variables and NAFLD were evaluated using the student's t-test or Mann-Whitney U test and binary logistic regression analysis. The predictive ability of these variables for NAFLD was assessed using the areas under the curves (AUCs) of receiver operating characteristics. Results Among the included patients, 3,872 (32.58%) were diagnosed with NAFLD, with 386 (9.97%) individuals having liver fibrosis. Patients with NAFLD exhibited a higher proportion of males, elevated body mass index (BMI), and increased likelihood of hypertension, diabetes mellitus, and atherosclerosis. Logistic regression analysis identified the neutrophil to albumin ratio (NAR) as the most promising novel inflammation biomarkers, with the highest AUC value of 0.701, a cut-off value of 0.797, sensitivity of 69.40%, and specificity of 66.00% in identifying the risk of NAFLD. Moreover, NAR demonstrated superior predictive value in identifying NAFLD patients at risk of liver fibrosis, with an AUC value of 0.795, sensitivity of 71.30%, and specificity of 73.60% when NAR reached 1.285. Conclusion These findings highlight that the novel inflammatory biomarker, NAR, is a convenient and easily accessible non-invasive predictor for NAFLD and NAFLD with liver fibrosis.
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Affiliation(s)
- Banghe Bao
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Xu
- Department of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Sun
- Department of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liduan Zheng
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Kothari V, Savard C, Tang J, Lee SP, Subramanian S, Wang S, den Hartigh LJ, Bornfeldt KE, Ioannou GN. sTREM2 is a plasma biomarker for human NASH and promotes hepatocyte lipid accumulation. Hepatol Commun 2023; 7:e0265. [PMID: 37820278 PMCID: PMC10578746 DOI: 10.1097/hc9.0000000000000265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/28/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Pathogenetic mechanisms of the progression of NAFL to advanced NASH coupled with potential noninvasive biomarkers and novel therapeutic targets are active areas of investigation. The recent finding that increased plasma levels of a protein shed by myeloid cells -soluble Triggering Receptor Expressed on Myeloid cells 2 (sTREM2) -may be a biomarker for NASH has received much interest. We aimed to test sTREM2 as a biomarker for human NASH and investigate the role of sTREM2 in the pathogenesis of NASH. METHODS We conducted studies in both humans (comparing patients with NASH vs. NAFL) and in mice (comparing different mouse models of NASH) involving measurements of TREM2 gene and protein expression levels in the liver as well as circulating sTREM2 levels in plasma. We investigated the pathogenetic role of sTREM2 in hepatic steatosis using primary hepatocytes and bone marrow derived macrophages. RESULTS RNA sequencing analysis of livers from patients with NASH or NAFL as well as livers from 2 mouse models of NASH revealed elevated TREM2 expression in patients/mice with NASH as compared with NAFL. Plasma levels of sTREM2 were significantly higher in a well-characterized cohort of patients with biopsy-proven NASH versus NAFL (area under receiver-operating curve 0.807). Mechanistic studies revealed that cocultures of primary hepatocytes and macrophages with an impaired ability to shed sTREM2 resulted in reduced hepatocyte lipid droplet formation on palmitate stimulation, an effect that was counteracted by the addition of exogenous sTREM2 chimeric protein. Conversely, exogenous sTREM2 chimeric protein increased lipid droplet formation, triglyceride content, and expression of the lipid transporter CD36 in hepatocytes. Furthermore, inhibition of CD36 markedly attenuated sTREM2-induced lipid droplet formation in mouse primary hepatocytes. CONCLUSIONS Elevated levels of sTREM2 due to TREM2 shedding may directly contribute to the pathogenesis of NAFLD by promoting hepatocyte lipid accumulation, as well as serving as a biomarker for distinguishing patients with NASH versus NAFL. Further investigation of sTREM2 as a clinically useful diagnostic biomarker and of the therapeutic effects of targeting sTREM2 in NASH is warranted.
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Affiliation(s)
- Vishal Kothari
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Christopher Savard
- Department of Medicine, Division of Gastroenterology, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Department of Medicine, Division of Gastroenterology, University of Washington, Seattle, Washington, USA
- Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
| | - Jingjing Tang
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Sum P. Lee
- Department of Medicine, Division of Gastroenterology, University of Washington, Seattle, Washington, USA
| | - Savitha Subramanian
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Shari Wang
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Laura J. den Hartigh
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Karin E. Bornfeldt
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - George N. Ioannou
- Department of Medicine, Division of Gastroenterology, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Department of Medicine, Division of Gastroenterology, University of Washington, Seattle, Washington, USA
- Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
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Bornfeldt KE. The Remnant Lipoprotein Hypothesis of Diabetes-Associated Cardiovascular Disease. Arterioscler Thromb Vasc Biol 2022; 42:819-830. [PMID: 35616031 DOI: 10.1161/atvbaha.122.317163] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Both type 1 and type 2 diabetes are associated with an increased risk of atherosclerotic cardiovascular disease (CVD). Research based on human-first or bedside-to-bench approaches has provided new insights into likely mechanisms behind this increased risk. Although both forms of diabetes are associated with hyperglycemia, it is becoming increasingly clear that altered lipoprotein metabolism also plays a critical role in predicting CVD risk in people with diabetes. This review examines recent findings indicating that increased levels of circulating remnant lipoproteins could be a missing link between diabetes and CVD. Although CVD risk associated with diabetes is clearly multifactorial in nature, these findings suggest that we should increase efforts in evaluating whether remnant lipoproteins or the proteins that govern their metabolism are biomarkers of incident CVD in people living with diabetes and whether reducing remnant lipoproteins will prevent the increased CVD risk associated with diabetes.
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Affiliation(s)
- Karin E Bornfeldt
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition and Department of Laboratory Medicine and Pathology, University of Washington Medicine Diabetes Institute, Seattle
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Matsuura Y, Shimizu-Albergine M, Barnhart S, Kramer F, Hsu CC, Kothari V, Tang J, Gharib SA, Kanter JE, Abel ED, Tian R, Shao B, Bornfeldt KE. Diabetes Suppresses Glucose Uptake and Glycolysis in Macrophages. Circ Res 2022; 130:779-781. [PMID: 35170337 PMCID: PMC8897241 DOI: 10.1161/circresaha.121.320060] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This manuscript was sent to Joyce Bischoff, Guest Editor, for review by expert referees, editorial decision, and final disposition. Final decisions were approved by Jane Leopold, Guest Editor-in-Chief.
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Affiliation(s)
- Yunosuke Matsuura
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Masami Shimizu-Albergine
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Shelley Barnhart
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Farah Kramer
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Cheng-Chieh Hsu
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Vishal Kothari
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Jingjing Tang
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Sina A. Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA
| | - Jenny E. Kanter
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - E. Dale Abel
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Rong Tian
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
| | - Baohai Shao
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - Karin E. Bornfeldt
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA,,Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
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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: 10] [Impact Index Per Article: 5.0] [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.
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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,
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