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Guo Q, Qiao P, Wang J, Zhao L, Guo Z, Li X, Fan X, Yu C, Zhang L. Investigating the value of urinary biomarkers in relation to lupus nephritis histopathology: present insights and future prospects. Front Pharmacol 2024; 15:1421657. [PMID: 39104393 PMCID: PMC11298450 DOI: 10.3389/fphar.2024.1421657] [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: 04/22/2024] [Accepted: 07/02/2024] [Indexed: 08/07/2024] Open
Abstract
Lupus nephritis (LN), a leading cause of death in Systemic Lupus Erythematosus (SLE) patients, presents significant diagnostic and prognostic challenges. Although renal pathology offers critical insights regarding the diagnosis, classification, and therapy for LN, its clinical utility is constrained by the invasive nature and limited reproducibility of renal biopsies. Moreover, the continuous monitoring of renal pathological changes through repeated biopsies is impractical. Consequently, there is a growing interest in exploring urine as a non-invasive, easily accessible, and dynamic "liquid biopsy" alternative to guide clinical management. This paper examines novel urinary biomarkers from a renal pathology perspective, encompassing cellular components, cytokines, adhesion molecules, auto-antibodies, soluble leukocyte markers, light chain fragments, proteins, small-molecule peptides, metabolomics, urinary exosomes, and ribonucleic acids. We also discuss the application of combined models comprising multiple biomarkers in assessing lupus activity. These innovative biomarkers and models offer insights into LN disease activity, acute and chronic renal indices, fibrosis, thrombotic microangiopathy, podocyte injury, and other pathological changes, potentially improving the diagnosis, management, and prognosis of LN. These urinary biomarkers or combined models may serve as viable alternatives to traditional renal pathology, potentially revolutionizing the method for future LN diagnosis and observation.
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Affiliation(s)
- Qianyu Guo
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
| | - Pengyan Qiao
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
| | - Juanjuan Wang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Stem Cell Translational Laboratory, Shanxi Bethune Hospital, Taiyuan, China
| | - Li Zhao
- School of Pharmacy, Shanxi Medical University, Taiyuan, China
| | - Zhiying Guo
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
| | - Xiaochen Li
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
| | - Xiuying Fan
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Office of Drug Clinical Trial Institution, Taiyuan, China
| | - Chong Yu
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
| | - Liyun Zhang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Shanxi Bethune Hospital, Taiyuan, China
- Stem Cell Translational Laboratory, Shanxi Bethune Hospital, Taiyuan, China
- Office of Drug Clinical Trial Institution, Taiyuan, China
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Alduraibi FK, Tsokos GC. Lupus Nephritis Biomarkers: A Critical Review. Int J Mol Sci 2024; 25:805. [PMID: 38255879 PMCID: PMC10815779 DOI: 10.3390/ijms25020805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Lupus nephritis (LN), a major complication in individuals diagnosed with systemic lupus erythematosus, substantially increases morbidity and mortality. Despite marked improvements in the survival of patients with severe LN over the past 50 years, complete clinical remission after immunosuppressive therapy is achieved in only half of the patients. Therefore, timely detection of LN is vital for initiating prompt therapeutic interventions and improving patient outcomes. Biomarkers have emerged as valuable tools for LN detection and monitoring; however, the complex role of these biomarkers in LN pathogenesis remains unclear. Renal biopsy remains the gold standard for the identification of the histological phenotypes of LN and guides disease management. However, the molecular pathophysiology of specific renal lesions remains poorly understood. In this review, we provide a critical, up-to-date overview of the latest developments in the field of LN biomarkers.
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Affiliation(s)
- Fatima K. Alduraibi
- Department of Medicine, Division of Clinical Immunology and Rheumatology, Beth Israel Deaconess Medical Center, Harvard Teaching Hospital, Boston, MA 02215, USA
- Department of Medicine, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Medicine, Division of Clinical Immunology and Rheumatology, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia
| | - George C. Tsokos
- Department of Medicine, Division of Clinical Immunology and Rheumatology, Beth Israel Deaconess Medical Center, Harvard Teaching Hospital, Boston, MA 02215, USA
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Ding H, Shen Y, Hong SM, Xiang C, Shen N. Biomarkers for systemic lupus erythematosus - a focus on organ damage. Expert Rev Clin Immunol 2024; 20:39-58. [PMID: 37712757 DOI: 10.1080/1744666x.2023.2260098] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 08/16/2023] [Accepted: 09/13/2023] [Indexed: 09/16/2023]
Abstract
INTRODUCTION Systemic lupus erythematosus (SLE) is complex autoimmune disease with heterogenous manifestations, unpredictable disease course and response to treatment. One of the critical needs in SLE management is the identification of reliable biomarkers that can aid in early diagnosis, accurate monitoring of disease activity, and assessment of treatment response. AREAS COVERED In the current review, we focus on the commonly affected organs (skin, kidney, and nervous system) in SLE to summarize the emerging biomarkers that show promise in disease diagnosis, monitoring and treatment response assessment. The subtitles within each organ domain were determined based on the most relevant and promising biomarkers for that specific organ damage. EXPERT OPINION Biomarkers have the potential to significantly benefit the management of SLE by aiding in diagnosis, disease activity monitoring, prognosis, and treatment response assessment. However, despite decades of research, none has been validated and implemented for routine clinical use. Novel biomarkers could lead to the development of precision medicine for SLE, guide personalized treatment, and improve patient outcomes. Challenges in biomarker research in SLE include defining clear and clinically relevant questions, accounting for the heterogeneity of SLE, and confirming initial findings in larger, multi-center, multi-ethnic, independent cohorts that reflect real-world clinical scenarios.
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Affiliation(s)
- Huihua Ding
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Yiwei Shen
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Soon-Min Hong
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Chunyan Xiang
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Nan Shen
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- China-Australia Centre for Personalized Immunology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Department of Rheumatology, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Collaborative Innovation Centre for Translational Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Moriano C, Bellido-Pastrana D, San Román Gutiérrez C, Rodríguez E. Evolution of diagnosis and treatment for lupus nephritis in Spain. Nefrologia 2023; 43:668-675. [PMID: 38246809 DOI: 10.1016/j.nefroe.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 12/28/2022] [Indexed: 01/23/2024] Open
Abstract
Lupus nephritis (LN) is a serious manifestation of systemic lupus erythematosus that can lead to end-stage renal disease. Many clinical and prognostic data on which our therapeutic decisions are based come from international cohorts, which have important ethnic and prognostic differences. To identify clinical and prognostic data from patients with LN in Spain, we undertook a bibliographic search of NL-related papers by Spanish authors and published in national and international journals between 2005 and 2022. According to the selected references, renal biopsy is not only essential for LN diagnosis but its repetition can be useful for the follow-up. Regarding LN treatment, standard strategy consists of an induction phase and a maintenance phase. However, as new drugs have been released, a new paradigm of treatment in a single, continuing and personalized phase has been proposed.
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Affiliation(s)
- Clara Moriano
- Servicio de Reumatología, Hospital Universitario de León, León, Spain
| | - David Bellido-Pastrana
- Servicio de Medicina Interna, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | | | - Eva Rodríguez
- Servicio de Nefrología, Hospital del Mar, Barcelona, Spain.
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Nie H, Chang S, Li Y, Li F. Biomarkers Associated with Drugs for the Treatment of Lupus Nephritis. Biomolecules 2023; 13:1601. [PMID: 38002282 PMCID: PMC10669579 DOI: 10.3390/biom13111601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/17/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
The constant updating of lupus drug treatment guidelines has led to a question. How can the efficacy of treatment be more effectively monitored? Systemic lupus erythematosus (SLE) is a complex autoimmune disease that often presents clinically with multi-organ involvement, and approximately 30% of patients with SLE develop lupus nephritis (LN). Therefore, it is important to better track disease progression and drug efficacy. Now, kidney biopsy is still the gold standard for diagnosing and guiding the treatment of LN, but it is invasive and expensive. If simple, non-invasive and effective biomarkers can be found, drug intervention and prognosis can be better monitored and targeted. In this review, we focus on LN and explore biomarkers related to LN therapeutics, providing clinicians with more possibilities to track the therapeutic effect of drugs, improve treatment options and assess patient outcomes.
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Affiliation(s)
- Huiyu Nie
- Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Siyuan Chang
- Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Yuanyuan Li
- Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Fen Li
- Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha 410011, China
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Kim YE, Lee EJ, Kim K, Kim DH, Jeong MR, Yu J, Hong S, Lee CK, Yoo B, Kim YG. Urine SERPINC1/ORM1 as biomarkers for early detection of lupus nephritis in MRL-lpr mice. Front Immunol 2023; 14:1148574. [PMID: 37744355 PMCID: PMC10515280 DOI: 10.3389/fimmu.2023.1148574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Background To evaluate the usefulness of urine SERPINC1 and ORM1 as biomarkers for early detection of lupus nephritis (LN). Methods Using proteomics, we screened for potential urine biomarkers that differentiate LN from systemic lupus erythematosus (SLE) patients without nephritis. In addition, urine levels of target biomarkers were measured by ELISA in 13- and 23-week-old MRL-lpr (murine model for LN) and MRL/MpJ mice. Histological analysis was also performed on the kidneys of 23-week-old mice. Results Urine SERPINC1 and ORM1 were elevated in SLE patients with newly diagnosed LN compared with SLE patients without LN (SERPINC1, AUC=.892, P<.001; ORM1, AUC=.886, P<.001). Levels of urine SERPINC1 and ORM1 were also significantly higher in MRL-lpr mice than in MRL/MpJ mice at 13 and 23 weeks (SERPINC1: p<.01 and p<.001 at 13 and 23 weeks, respectively; ORM1: p<.01 at 13 and 23 weeks). In contrast, a significant difference in urine albumin between the two groups was only observed at 23 weeks (p<.001) not at 13 weeks (p=.83). Regarding the kidney pathology of MPL-lpr mice, urine ORM1 and urine albumin, but not urine SERPINC1, were positively correlated with the activity index (ORM1, rho =.879, p<.001; albumin, rho =.807, p=.003) and chronicity index (ORM1, rho =.947, p<.001; albumin, rho =.869, p<.001). Conclusion We propose that urine SERPINC1 and ORM1 are novel biomarkers for early LN.
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Affiliation(s)
- Young-Eun Kim
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Eun-Ju Lee
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Kyunggon Kim
- Convergence Medicine Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Do Hoon Kim
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Mi Ryeong Jeong
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jiyoung Yu
- Convergence Medicine Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea
| | - Seokchan Hong
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chang-Keun Lee
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Bin Yoo
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yong-Gil Kim
- Department of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Convergence Medicine Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea
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Rende U, Guller A, Goldys EM, Pollock C, Saad S. Diagnostic and prognostic biomarkers for tubulointerstitial fibrosis. J Physiol 2023; 601:2801-2826. [PMID: 37227074 DOI: 10.1113/jp284289] [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: 01/09/2023] [Accepted: 05/23/2023] [Indexed: 05/26/2023] Open
Abstract
Renal fibrosis is the final common pathophysiological pathway in chronic kidney disease (CKD) regardless of the underlying cause of kidney injury. Tubulointerstitial fibrosis (TIF) is considered to be the key pathological predictor of CKD progression. Currently, the gold-standard tool to identify TIF is kidney biopsy, an invasive method that carries risks. Non-invasive diagnostics rely on an estimation of glomerular filtration rate and albuminuria to assess kidney function, but these fail to diagnose early CKD accurately or to predict progressive decline in kidney function. In this review, we summarize the current and emerging molecular biomarkers that have been studied in various clinical settings and in animal models of kidney disease and that are correlated with the degree of TIF. We examine the potential of these biomarkers to diagnose TIF non-invasively and to predict disease progression. We also examine the potential of new technologies and non-invasive diagnostic approaches in assessing TIF. Limitations of current and potential biomarkers are discussed and knowledge gaps identified.
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Affiliation(s)
- Umut Rende
- School of Biomedical Engineering, The University of New South Wales, Sydney, NSW, Australia
| | - Anna Guller
- Macquarie Medical School, Faculty of Medicine, Health & Human Sciences, Macquarie University, NSW, Australia
| | - Ewa M Goldys
- School of Biomedical Engineering, The University of New South Wales, Sydney, NSW, Australia
| | - Carol Pollock
- Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Sonia Saad
- Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
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Evgeniou M, Sacnun JM, Kratochwill K, Perco P. A Meta-Analysis of Human Transcriptomics Data in the Context of Peritoneal Dialysis Identifies Novel Receptor-Ligand Interactions as Potential Therapeutic Targets. Int J Mol Sci 2021; 22:ijms222413277. [PMID: 34948074 PMCID: PMC8703997 DOI: 10.3390/ijms222413277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 12/01/2021] [Accepted: 12/08/2021] [Indexed: 11/16/2022] Open
Abstract
Peritoneal dialysis (PD) is one therapeutic option for patients with end-stage kidney disease (ESKD). Molecular profiling of samples from PD patients using different Omics technologies has led to the discovery of dysregulated molecular processes due to PD treatment in recent years. In particular, a number of transcriptomics (TX) datasets are currently available in the public domain in the context of PD. We set out to perform a meta-analysis of TX datasets to identify dysregulated receptor-ligand interactions in the context of PD-associated complications. We consolidated transcriptomics profiles from twelve untargeted genome-wide gene expression studies focusing on human cell cultures or samples from human PD patients. Gene set enrichment analysis was used to identify enriched biological processes. Receptor-ligand interactions were identified using data from CellPhoneDB. We identified 2591 unique differentially expressed genes in the twelve PD studies. Key enriched biological processes included angiogenesis, cell adhesion, extracellular matrix organization, and inflammatory response. We identified 70 receptor-ligand interaction pairs, with both interaction partners being dysregulated on the transcriptional level in one of the investigated tissues in the context of PD. Novel receptor-ligand interactions without prior annotation in the context of PD included BMPR2-GDF6, FZD4-WNT7B, ACKR2-CCL2, or the binding of EPGN and EREG to the EGFR, as well as the binding of SEMA6D to the receptors KDR and TYROBP. In summary, we have consolidated human transcriptomics datasets from twelve studies in the context of PD and identified sets of novel receptor-ligand pairs being dysregulated in the context of PD that warrant investigation in future functional studies.
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Affiliation(s)
- Michail Evgeniou
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (M.E.); (J.M.S.); (K.K.)
| | - Juan Manuel Sacnun
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (M.E.); (J.M.S.); (K.K.)
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
- Zytoprotec GmbH, 1090 Vienna, Austria
| | - Klaus Kratochwill
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (M.E.); (J.M.S.); (K.K.)
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Paul Perco
- Department of Internal Medicine IV, Medical University Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
- Correspondence:
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Mejia-Vilet JM, Malvar A, Arazi A, Rovin BH. The lupus nephritis management renaissance. Kidney Int 2021; 101:242-255. [PMID: 34619230 DOI: 10.1016/j.kint.2021.09.012] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 12/12/2022]
Abstract
Over the past year, and for the first time ever, the US Food and Drug Administration approved 2 drugs specifically for the treatment of lupus nephritis (LN). As the lupus community works toward understanding how to best use these new therapies, it is also an ideal time to begin to rethink the overall management strategy of LN. In addition to new drugs, this must include how to use kidney biopsies for management and not just diagnosis, how molecular technologies can be applied to interrogate biopsies and how such data can impact management, and how to incorporate LN biomarkers into management paradigms. Herein, we will review new developments in these areas of LN and put them into perspective for disease management now and in the future.
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Affiliation(s)
- Juan M Mejia-Vilet
- Department of Nephrology, Instituto Nacional de Ciencas Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Ana Malvar
- Department of Nephrology, Hospital Fernandez, Buenos Aires, Argentina
| | - Arnon Arazi
- Institute of Molecular Medicine, Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Brad H Rovin
- Department of Medicine and Division of Nephrology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
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Li J, Zhang Y, Guo X, Wu Y, Huang R, Han X. Circulating Level of Monocyte Chemoattractant Protein-1 and Risk of Coronary Artery Disease: A Case-Control and Mendelian Randomization Study. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:553-559. [PMID: 34007203 PMCID: PMC8124014 DOI: 10.2147/pgpm.s303362] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/19/2021] [Indexed: 12/20/2022]
Abstract
Background Coronary artery disease (CAD) ranks the leading cause of death worldwide, and inflammation has been implicated in all stages of CAD and is considered to contribute to the pathophysiological basis of atherogenesis. Methods Here, we implemented a case–control study and a two-sample Mendelian randomization (MR) study to explore the associations between CAD risk and genetic predisposition to circulating level of monocyte chemoattractant protein-1 (MCP1), the most important regulator of monocyte trafficking. Results In case–control study, we found circulating level of MCP1 was significantly associated with increased risk of CAD (OR for per quartile increment: 1.33, 95% CI: 1.19–1.49, P<0.001). Further, genetically predicted higher level of MCP1 was significantly associated with higher risk of CAD (OR for 1-SD increase: 1.05, 95% CIs: 1.02–1.08, P value: 0.002) in MR analysis. Sensitivity analyses were also conducted to validate the main findings, and we also did not detect any directional pleiotropy effects using the MR Egger intercept test (P=0.831). Conclusion To sum up, our study suggested that increased CAD risk was associated with a predisposition to higher level of MCP1. Additional insight into the contribution of MCP1 to the occurrence of CAD is still needed.
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Affiliation(s)
- Jing Li
- Department of Health Care, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
| | - Yanqun Zhang
- Department of Health Care, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
| | - Xue Guo
- Department of Health Care, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
| | - Yuanyuan Wu
- Department of Health Care, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
| | - Ruo Huang
- Department of Health Care, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
| | - Xia Han
- Department of Cardiology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 271100, People's Republic of China
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