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ElFeky DS, Omar NM, Shaker OG, Abdelrahman W, Gheita TA, Nada MG. Circulatory microRNAs and proinflammatory cytokines as predictors of lupus nephritis. Front Immunol 2024; 15:1449296. [PMID: 39464895 PMCID: PMC11502402 DOI: 10.3389/fimmu.2024.1449296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 09/25/2024] [Indexed: 10/29/2024] Open
Abstract
Introduction Lupus nephritis (LN) is one of the most prevalent severe organ manifestations of systemic lupus erythematosus (SLE), impacting 70% of SLE patients. MicroRNAs (miRNAs), are small non-coding RNA molecules which influence the expression of approximately one-third of human genes after the process of transcription. Dysregulation of miRNAs was documented in numerous disorders, including SLE and LN. Cytokines are the orchestrators of the immune response in autoimmune diseases. Our study aims to explore the variation in the levels of circulating miRNAs and proinflammatory cytokines as potential diagnostic biomarkers among LN and SLE patients without LN in comparison to controls. Methods The study involved 20 LN patients, 20 SLE patients without LN, and 10 healthy controls. Serum levels of IL-12 and IL-21 in addition to miR-124, miR-146a, miR-199a, and miR-21 were assessed using the enzyme-linked immunosorbent assay (ELISA) for cytokines and quantitative real-time PCR for miRNAs. Results A significant downregulation in miR-124 (p<0.001) and a significant overexpression of miR-146a (p=0.005) were found in SLE patients without LN in comparison to controls. In comparison to SLE patients without LN and the control group, miR-199a, miR-21, and miR-146a were significantly upregulated in LN patients (p=<0.001) with high diagnostic values of these miRNAs in discriminating LN from SLE patients without LN according to Receiver operating curve (ROC) analysis. Logistic regression analysis revealed that only miR-199a is an independent predictor of LN (OR 1.69; 95% CI: 1.1-2.6). The expression of miR-124 was reduced in LN patients in comparison to the control but increased in LN patients in comparison to SLE patients without LN. However, there was no statistically significant difference in either scenario. In comparison to both SLE patients without LN and controls, LN patients exhibited the highest serum levels of IL-12 and IL-21, with no statistically significant difference. Regression analysis revealed that only miR-146a was associated with creatinine levels and SLEDAI score (p= 0.009 and 0.03, respectively), while miR-124 was associated with hemoglobin level (p=0.03). Conclusion MiR-199a is an independent predictor for LN and might be used as a diagnostic biomarker for this disease. MiR-146a might play an important role in LN pathophysiology.
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Affiliation(s)
- Dalia Saad ElFeky
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Cairo
University, Cairo, Egypt
| | - Noha Mohamed Omar
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Cairo
University, Cairo, Egypt
| | - Olfat Gamil Shaker
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Walaa Abdelrahman
- Rheumatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Tamer A. Gheita
- Rheumatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mona Gamal Nada
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Cairo
University, Cairo, Egypt
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Liu X, Sun H, Zheng L, Zhang J, Su H, Li B, Wu Q, Liu Y, Xu Y, Song X, Yu Y. Adipose-derived miRNAs as potential biomarkers for predicting adulthood obesity and its complications: A systematic review and bioinformatic analysis. Obes Rev 2024; 25:e13748. [PMID: 38590187 DOI: 10.1111/obr.13748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 02/25/2024] [Accepted: 03/10/2024] [Indexed: 04/10/2024]
Abstract
Adipose tissue is the first and primary target organ of obesity and the main source of circulating miRNAs in patients with obesity. This systematic review aimed to analyze and summarize the generation and mechanisms of adipose-derived miRNAs and their role as early predictors of various obesity-related complications. Literature searches in the PubMed and Web of Science databases using terms related to miRNAs, obesity, and adipose tissue. Pre-miRNAs from the Human MicroRNA Disease Database, known to regulate obesity-related metabolic disorders, were combined for intersection processing. Validated miRNA targets were sorted through literature review, and enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes via the KOBAS online tool, disease analysis, and miRNA transcription factor prediction using the TransmiR v. 2.0 database were also performed. Thirty miRNAs were identified using both obesity and adipose secretion as criteria. Seventy-nine functionally validated targets associated with 30 comorbidities of these miRNAs were identified, implicating pathways such as autophagy, p53 pathways, and inflammation. The miRNA precursors were analyzed to predict their transcription factors and explore their biosynthesis mechanisms. Our findings offer potential insights into the epigenetic changes related to adipose-driven obesity-related comorbidities.
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Affiliation(s)
- Xiyan Liu
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
| | - Huayi Sun
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Department of Colorectal Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Lixia Zheng
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
| | - Jian Zhang
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, Liaoning, China
| | - Han Su
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
| | - Bingjie Li
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, Liaoning, China
| | - Qianhui Wu
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, Liaoning, China
| | - Yunchan Liu
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, Liaoning, China
| | - Yingxi Xu
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaoyu Song
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
| | - Yang Yu
- College of Basic Medical Science, Key Laboratory of Medical Cell Biology, Ministry of Education, Key Laboratory of Liaoning Province, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, China Medical University, Shenyang, Liaoning, China
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, Liaoning, China
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Corona-Meraz FI, Vázquez-Del Mercado M, Sandoval-García F, Robles-De Anda JA, Tovar-Cuevas AJ, Rosales-Gómez RC, Guzmán-Ornelas MO, González-Inostroz D, Peña-Nava M, Martín-Márquez BT. Biomarkers in Systemic Lupus Erythematosus along with Metabolic Syndrome. J Clin Med 2024; 13:1988. [PMID: 38610754 PMCID: PMC11012563 DOI: 10.3390/jcm13071988] [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: 02/29/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
Metabolic syndrome (MetS) is a group of physiological abnormalities characterized by obesity, insulin resistance (IR), and hypertriglyceridemia, which carry the risk of developing cardiovascular disease (CVD) and type 2 diabetes (T2D). Immune and metabolic alterations have been observed in MetS and are associated with autoimmune development. Systemic lupus erythematosus (SLE) is an autoimmune disease caused by a complex interaction of environmental, hormonal, and genetic factors and hyperactivation of immune cells. Patients with SLE have a high prevalence of MetS, in which elevated CVD is observed. Among the efforts of multidisciplinary healthcare teams to make an early diagnosis, a wide variety of factors have been considered and associated with the generation of biomarkers. This review aimed to elucidate some primary biomarkers and propose a set of assessments to improve the projection of the diagnosis and evolution of patients. These biomarkers include metabolic profiles, cytokines, cardiovascular tests, and microRNAs (miRs), which have been observed to be dysregulated in these patients and associated with outcomes.
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Affiliation(s)
- Fernanda Isadora Corona-Meraz
- Multidisciplinary Health Research Center, Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara 45425, Jalisco, Mexico; (A.-J.T.-C.); (R.-C.R.-G.); (M.-O.G.-O.)
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
| | - Mónica Vázquez-Del Mercado
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
- Rheumatology Service, Internal Medicine Division, Civil Hospital of Guadalajara “Dr. Juan I. Menchaca”, Guadalajara 44340, Jalisco, Mexico
- Academic Group UDG-CA-703, “Immunology and Rheumatology”, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Flavio Sandoval-García
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
- Academic Group UDG-CA-703, “Immunology and Rheumatology”, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Jesus-Aureliano Robles-De Anda
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
| | - Alvaro-Jovanny Tovar-Cuevas
- Multidisciplinary Health Research Center, Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara 45425, Jalisco, Mexico; (A.-J.T.-C.); (R.-C.R.-G.); (M.-O.G.-O.)
| | - Roberto-Carlos Rosales-Gómez
- Multidisciplinary Health Research Center, Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara 45425, Jalisco, Mexico; (A.-J.T.-C.); (R.-C.R.-G.); (M.-O.G.-O.)
| | - Milton-Omar Guzmán-Ornelas
- Multidisciplinary Health Research Center, Department of Biomedical Sciences, University Center of Tonala, University of Guadalajara, Guadalajara 45425, Jalisco, Mexico; (A.-J.T.-C.); (R.-C.R.-G.); (M.-O.G.-O.)
| | - Daniel González-Inostroz
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
| | - Miguel Peña-Nava
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
| | - Beatriz-Teresita Martín-Márquez
- Department of Molecular Biology and Genomics, Institute of Rheumatology and Musculoskeletal System Research, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico; (M.V.-D.M.); (F.S.-G.); (J.-A.R.-D.A.); (D.G.-I.); (M.P.-N.)
- Academic Group UDG-CA-703, “Immunology and Rheumatology”, University Center of Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
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Michalak-Stoma A, Walczak K, Adamczyk M, Kowal M, Krasowska D. Selected miRNA and Psoriasis-Cardiovascular Disease (CVD)-Overweight/Obesity Network-A Pilot Study. Int J Mol Sci 2023; 24:13916. [PMID: 37762217 PMCID: PMC10530775 DOI: 10.3390/ijms241813916] [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: 08/03/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Psoriasis is nowadays recognized as a multifactorial systemic disease with complex and not fully understood pathogenesis. In psoriatic patients, the increased cardiovascular disease (CVD) risk and frequent comorbidities like obesity are observed. The aim of this study was to investigate differences in miRNA (miR-22-3p, miR-133a-3p, miR-146a-5p, miR-369-3p, and Let-7b-5p) involved in CVD risk among psoriatic patients with overweight/obesity and with normal weight. The study comprised 28 male psoriatic patients and 16 male healthy controls. miRNA isolated from peripheral blood mononuclear cells was reverse-transcribed and RT-qPCR was performed. We have found decreased levels of miR-22, miR-133a, miR-146a, and miR-369 among the psoriatic patients. There was a statistically significant difference in miR-22 and miR-146a levels between psoriatic patients with overweight/obesity and with normal weight. There were positive correlations between miR-22 and miR-146a levels and psoriatic arthritis (PsA) in psoriatic patients with normal weight and between the miR-133a level and PsA in the overweight/obese patients. The decreased levels of selected miRNA are consistent with the levels observed in CVD indicating their impact on the CVD risk in psoriatic patients. miR-22 and miR-146 may be recognized as one of the contributing factors in the obesity-CVD-psoriasis network.
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Affiliation(s)
- Anna Michalak-Stoma
- Chair and Department of Dermatology, Venereology and Pediatric Dermatology, Medical University of Lublin, ul. Staszica 16, 20-081 Lublin, Poland; (K.W.); (M.A.); (M.K.); (D.K.)
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Mitchell MI, Ben‐Dov IZ, Liu C, Ye K, Chow K, Kramer Y, Gangadharan A, Park S, Fitzgerald S, Ramnauth A, Perlin DS, Donato M, Bhoy E, Manouchehri Doulabi E, Poulos M, Kamali‐Moghaddam M, Loudig O. Extracellular Vesicle Capture by AnTibody of CHoice and Enzymatic Release (EV-CATCHER): A customizable purification assay designed for small-RNA biomarker identification and evaluation of circulating small-EVs. J Extracell Vesicles 2021; 10:e12110. [PMID: 34122779 PMCID: PMC8173589 DOI: 10.1002/jev2.12110] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 05/07/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
Circulating nucleic acids, encapsulated within small extracellular vesicles (EVs), provide a remote cellular snapshot of biomarkers derived from diseased tissues, however selective isolation is critical. Current laboratory-based purification techniques rely on the physical properties of small-EVs rather than their inherited cellular fingerprints. We established a highly-selective purification assay, termed EV-CATCHER, initially designed for high-throughput analysis of low-abundance small-RNA cargos by next-generation sequencing. We demonstrated its selectivity by specifically isolating and sequencing small-RNAs from mouse small-EVs spiked into human plasma. Western blotting, nanoparticle tracking, and transmission electron microscopy were used to validate and quantify the capture and release of intact small-EVs. As proof-of-principle for sensitive detection of circulating miRNAs, we compared small-RNA sequencing data from a subset of small-EVs serum-purified with EV-CATCHER to data from whole serum, using samples from a small cohort of recently hospitalized Covid-19 patients. We identified and validated, only in small-EVs, hsa-miR-146a and hsa-miR-126-3p to be significantly downregulated with disease severity. Separately, using convalescent sera from recovered Covid-19 patients with high anti-spike IgG titers, we confirmed the neutralizing properties, against SARS-CoV-2 in vitro, of a subset of small-EVs serum-purified by EV-CATCHER, as initially observed with ultracentrifuged small-EVs. Altogether our data highlight the sensitivity and versatility of EV-CATCHER.
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Affiliation(s)
- Megan I. Mitchell
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Iddo Z. Ben‐Dov
- Laboratory of Medical TranscriptomicsHadassah‐Hebrew University Medical CenterJerusalemIsrael
| | - Christina Liu
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Kenny Ye
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Kar Chow
- BiorepositoryHackensack University Medical CenterHackensackNew JerseyUSA
| | - Yael Kramer
- BiorepositoryHackensack University Medical CenterHackensackNew JerseyUSA
| | - Anju Gangadharan
- BiorepositoryHackensack University Medical CenterHackensackNew JerseyUSA
| | - Steven Park
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Sean Fitzgerald
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Andrew Ramnauth
- Department of Pathology and Laboratory MedicineWeill Cornell MedicineNew YorkUSA
| | - David S. Perlin
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Michele Donato
- BiorepositoryHackensack University Medical CenterHackensackNew JerseyUSA
| | - Emily Bhoy
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Ehsan Manouchehri Doulabi
- Department of Immunology, Genetics and PathologyScience for Life LaboratoryUppsala UniversityUppsalaSweden
| | - Michael Poulos
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
| | - Masood Kamali‐Moghaddam
- Department of Immunology, Genetics and PathologyScience for Life LaboratoryUppsala UniversityUppsalaSweden
| | - Olivier Loudig
- Center for Discovery and InnovationHackensack Meridian HealthNutleyNew JerseyUSA
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Impact of Obesity-Induced Inflammation on Cardiovascular Diseases (CVD). Int J Mol Sci 2021; 22:ijms22094798. [PMID: 33946540 PMCID: PMC8125716 DOI: 10.3390/ijms22094798] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/23/2021] [Accepted: 04/28/2021] [Indexed: 12/22/2022] Open
Abstract
Overweight and obesity are key risk factors of cardiovascular disease (CVD). Obesity is currently presented as a pro-inflammatory state with an expansion in the outflow of inflammatory cytokines, such as interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α), alongside the expanded emission of leptin. The present review aimed to evaluate the relationship between obesity and inflammation and their impacts on the development of cardiovascular disease. A literature search was conducted by employing three academic databases, namely PubMed (Medline), Scopus (EMBASE), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL). The search presented 786 items, and by inclusion and exclusion filterers, 59 works were considered for final review. The Newcastle–Ottawa Scale (NOS) method was adopted to conduct quality assessment; 19 papers were further selected based on the quality score. Obesity-related inflammation leads to a low-grade inflammatory state in organisms by upregulating pro-inflammatory markers and downregulating anti-inflammatory cytokines, thereby contributing to cardiovascular disease pathogenesis. Because of inflammatory and infectious symptoms, adipocytes appear to instigate articulation and discharge a few intense stage reactants and carriers of inflammation. Obesity and inflammatory markers are strongly associated, and are important factors in the development of CVD. Hence, weight management can help prevent cardiovascular risks and poor outcomes by inhibiting inflammatory mechanisms.
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