Submitted:
08 February 2024
Posted:
08 February 2024
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
3.1. Histopathological findings
3.2. Renal outcomes
3.2.1. Mediation analysis
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Berger J, Hinglais N. Intercapillary deposits of IgA-IgG. J Urol Nephrol 1968, 74,694–5.
- Berthoux FC, Mohey H, Afiani A. Natural history of primary IgA nephropathy. Semin Nephrol 2008 ,28, 4–9. [CrossRef]
- Hastings MC, Bursac Z, Julian BA, Villa Baca E, Featherston J, Woodford SY, Bailey L, Wyatt RJ. Life Expectancy for Patients From the Southeastern United States With IgA Nephropathy. Kidney Int Rep 2017,24, 99-104. [CrossRef]
- Jennette JC. The immunohistology of IgA nephropathy. Am J Kidney Dis.1988, 12,348–52. [CrossRef]
- Maillard N, Wyatt RJ, Julian BA, Kiryluk K, Gharavi A, Fremeaux-Bacchi V, Novak J. Current Understanding of the Role of Complement in IgA Nephropathy. J Am Soc Nephrol 2015, 26, 1503-12. [CrossRef]
- Manenti L, Rossi GM, Pisani I, Gentile M, Fontana F, Pilato FP, Delsante M, Ricco F, Mignani R, Mele C, Bresin E, Fiaccadori E. IgA nephropathy and atypical hemolytic uremic syndrome: a case series and a literature review. J Nephrol. 2022, 35, 1091-00. [CrossRef]
- Chua JS, Zandbergen M, Wolterbeek R, Baelde HJ, van Es LA, de Fijter JW, Bruijn JA, Bajema IM.. Complement-mediated microangiopathy in IgA nephropathy and IgA vasculitis with nephritis. Mod Pathol 2019, 32,1147-57. [CrossRef]
- El Karoui K, Hill GS, Karras A, Jacquot C, Moulonguet L, Kourilsky O, Frémeaux-Bacchi V, Delahousse M, Duong Van Huyen JP, Loupy A, Bruneval P, Nochy D. A clinicopathologic study of thrombotic microangiopathy in IgA nephropathy. J Am Soc Nephrol 2012, 2, :137–48. [CrossRef]
- Cai Q, Shi S, Wang S, Ren Y, Hou W, Liu L, Lv J, Haas M, Zhang H. Microangiopathic Lesions in IgA Nephropathy: A Cohort Study. Am J Kidney Dis 2019, 74, 629-39. [CrossRef]
- Neves PDMM, Souza RA, Torres FM, Reis FA, Pinheiro RB, Dias CB, Yu L, Woronik V, Furukawa LS, Cavalcante LB, de Almeida Araújo S, Wanderley DC, Malheiros DM, Jorge LB. Evidences of histologic thrombotic microangiopathy and the impact in renal outcomes of patients with IgA nephropathy. PLoS One, 2020, 15, :e0233199. [CrossRef]
- Zhang Y, Sun L, Zhou S, Xu Q, Xu Q, Liu D, Liu L, Hu R, Quan S, Xing G. Intrarenal Arterial Lesions Are Associated with Higher Blood Pressure, Reduced Renal Function and Poorer Renal Outcomes in Patients with IgA Nephropathy. Kidney Blood Press Res, 2018,4, 639-50.
- Chang A, Kowalewska J, Smith KD, Nicosia RF, Alpers CE. A clinicopathologic study of thrombotic microangiopathy in the setting of IgA nephropathy. Clin Nephrol ,2006, 66, 397-404. [CrossRef]
- Pan M, Zhou Q, Zheng S, You X, Li D, Zhang J, Chen C, Xu F, Li Z, Zhou Z, Zhang J. Serum C3/C4 ratio is a novel predictor of renal prognosis in patients with IgA nephropathy: a retrospective study. Immunol Res, 2018, 66, 381-91. [CrossRef]
- Kim SJ, Koo HM, Lim BJ, Oh HJ, Yoo DE, Shin DH, Lee MJ, Doh FM, Park JT, Yoo TH, Kang SW, Choi KH, Jeong HJ, Han SH. Decreased circulating C3 levels and mesangial C3 deposition predict renal outcome in patients with IgA nephropathy. PLoS One. 2012 7, e40495. [CrossRef]
- Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med 2009, 150, 604-12. [CrossRef]
- Trimarchi H, Barratt J, Cattran DC, Cook HT, Coppo R, Haas M, Liu ZH, Roberts IS, Yuzawa Y, Zhang H, Feehally J; IgAN Classification Working Group of the International IgA Nephropathy Network and the Renal Pathology Society; Conference Participants. Oxford Classification of IgA nephropathy 2016: an update from the IgA Nephropathy Classification Working Group. Kidney Int, 2017, 91, 1014-21. [CrossRef]
- Discacciati A, Bellavia A, Lee JJ, Mazumdar M, Valeri L. Med4way: a Stata command to investigate mediating and interactive mechanisms using the four-way effect decomposition. Int J Epidemiol, 2018 16. Epub ahead of print. [CrossRef]
- VanderWeele T.J. A unification of mediation and interaction: a 4-way decomposition. Epidemiology, 2014 , 749-61. [CrossRef]
- Yang X, Wei RB, Wang Y, Su TY, Li QP, Yang T, Huang MJ., Li KY., Chen XM. Decreased Serum C3 Levels in Immunoglobulin A (IgA) Nephropathy with Chronic Kidney Disease: A Propensity Score Matching Study. Med Sci Monit, 2017,23, 673–681. [CrossRef]
- Caravaca-Fontán F, Gutiérrez E, Sevillano ÁM, Praga M. Targeting complement in IgA nephropathy. Clin Kidney J, 2023, 16(Suppl 2),ii28-ii39. [CrossRef]


| Low serum C3 at biopsy | P value | ||||
| No | Yes | ||||
| Number of pts (%) | 44 (78.6) | 12 (21.4) | |||
| Age,years (mean±SD) | 44 | 46.7±17.4 | 12 | 42.4±17.5 | 0.496 |
| Male (n,%) | 33 (75) | 6 (50) | |||
| Hypertension, history (n,%) | 24(45.5) | 6(50) | 1.000 | ||
| eGFR ml/min (mean±SD) | 44 | 54.2±40.4 | 11 | 52.8±46.5 | 0.775 |
| Serum Albumin, g/dL(media±SD) | 40 | 3.4±0.6 | 10 | 3.2±0.6 | 0.195 |
| Proteinuria, g/day(media±SD) | 39 | 2.6±2.1 | 8 | 5.5±7.7 | 0.383 |
| C3, mg/dL(media±SD) | 44 | 117.6±20.3 | 12 | 78.4±10.9 | 0.000 |
| C4, mg/dL(media±SD) | 44 | 28.5±6.9 | 12 | 23.8±7.8 | 0.027 |
| LDH, IU/L | 34 | 397.0±121.2 | 9 | 412.9±103.2 | 0.450 |
| Platelets (x 1000/mm3) | 41 | 216.4±49.1 | 10 | 212.7±63.3 | 0.829 |
| Histology MEST-C (n,%) |
44 | 12 | |||
| Mesangial | 11(25.0) | 4(33.3) | 0.462 | ||
| Endocapillar . | 11(25.0) | 3(25.0) | 0.720 | ||
| Sclerosis | 31(70.4) | 6(50.0) | 0.113 | ||
| Tubular atrophy | 23(52.3) | 6(50.0) | 1.000 | ||
| Crescents | 15(34.1) | 4(33.0) | 1.000 | ||
| TMA (n,%) | 44 | 10 (22.7) | 12 | 7(58.3) | 0.002 |
| Acute | 6 | 2 | |||
| Chronic | 4 | 5 | |||
| Therapy (n,%) | 44 | 12 | |||
| Prednisone | 38(86.3) | 10(83.3) | 0.639 | ||
| RAAS inhibitors | 36(81.8) | 6(50.0) | 0.054 | ||
| Other Immunosoppressive | 11(25.0) | 6(50.0) | 0.154 | ||
| LowC3-Crude | TMA-Crude | LowC3-Adj. | TMA-Adj. | LowC3-Adj.+RAASi | TMA-Adj.+RAASi | LowC3+TMA | LowC3+TMA-Adj. | LowC3+TMA Adj.+RAASi | |
| Low C3 | 4.62*** | 7.98*** | 5.84*** | 4.14*** | 6.77*** | 5.55** | |||
| [1.71,12.48] | [2.48,25.76] | [1.69,20.15] | [1.47,11.68] | [1.90,24.14] | [1.46,21.01] | ||||
| 0.003 | 0.001 | 0.005 | 0.007 | 0.003 | 0.012 | ||||
| TMA | 2.17 | 3.00* | 2.21 | 1.51 | 1.46 | 1.15 | |||
| [0.80,5.87] | [0.94,9.59] | [0.66,7.47] | [0.53,4.30] | [0.42,5.05] | [0.30,4.48] | ||||
| 0.126 | 0.064 | 0.200 | 0.438 | 0.552 | 0.836 | ||||
| Non-White Ethnicity | 8.05*** | 6.97*** | 6.34*** | 5.23*** | 7.97*** | 6.42*** | |||
| [2.34,27.66] | [2.13,22.82] | [1.74,23.14] | [1.55,17.64] | [2.29,27.70] | [1.74,23.63] | ||||
| 0.001 | 0.001 | 0.005 | 0.008 | 0.001 | 0.005 | ||||
| Male Sex | 1.24 | 1.27 | 1.27 | 1.19 | 1.33 | 1.31 | |||
| [0.42,3.73] | [0.40,3.99] | [0.41,3.90] | [0.36,3.90] | [0.43,4.11] | [0.41,4.16] | ||||
| 0.697 | 0.688 | 0.674 | 0.776 | 0.621 | 0.648 | ||||
| RAASi | 0.46 | 0.32* | 0.48 | ||||||
| [0.13,1.66] | [0.10,1.03] | [0.12,1.87] | |||||||
| 0.236 | 0.057 | 0.291 | |||||||
| Comparison of crude and multivariable adjusted hazard ration of ESKD from Cox proportional hazard regression models that included Low C3, TMA or both The table reports the hazard ratio of ESKD [95 percent confidence interval] and P value for each model; asterisks refer to the level of P value to ease the readability of the table as follows: <0.01 ***, <0.05 **, 0.1 *. ESKD, end stage kidney disease; RAASi, renin angiotensin aldosterone inhibitors ; TMA, thrombotic microangiopathy. LowC3-Crude, model including Low C3 only; TMA-Crude, model including TMA only; LowC3-Adj, model for Low C3 adjusted for age, ethnicity and gender; TMA-Adj, model for TMA adjusted for age, ethnicity and gender; LowC3-Adj.+RAASi, model including Low C3 additionally adjusted for RAASi; TMA-Adj.+RAASi, model including TMA additionally adjusted for RAASi; LowC3+TMA, model including both Low C3 and TMA; LowC3+TMA-Adj., model including both Low C3 and TMA adjusted for age, ethnicity and gender; LowC3+TMA Adj.+RAASi, model including both Low C3 and TMA, additionally adjusted for RASSi. | |||||||||
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