Clinical and Genetic Predictors of Sickle Cell Nephropathy: A Global Systematic Review

Kambe Banda1, Arthemon Nguweneza1, Khuthala Mnika1

  • 1Division of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.

Insights

Sickle cell nephropathy (SCN) risk factors, including genetic variants like APOL1 and HMOX1, are identified in this global review. More research is needed in Africa to improve early detection and management of kidney disease in sickle cell disease (SCD) patients.

Area of Science:

  • Nephrology
  • Hematology
  • Genetics

Background:

  • Sickle cell disease (SCD) affects 300,000 newborns globally, with 80% in Africa.
  • Sickle cell nephropathy (SCN) impacts 5-18% of SCD patients, significantly increasing morbidity and mortality.
  • Identifying SCN risk factors is crucial for effective clinical management and public health strategies.

Purpose of the Study:

  • To conduct a global systematic review exploring clinical and genetic factors associated with sickle cell nephropathy (SCN).
  • To identify predictors of SCN across diverse global populations.
  • To summarize current evidence on SCN risk factors and highlight research gaps.

Main Methods:

  • Systematic review adhering to PRISMA guidelines (PROSPERO registration: CRD42020185763).
  • Inclusion of cohort, case-control, and cross-sectional studies published up to December 31, 2024.
  • Analysis of 70 hospital-based studies, with a focus on clinical and genetic predictors of SCN.

Main Results:

  • Genetic associations identified with alpha-thalassemia, APOL1, and HMOX1 genes.
  • A genome-wide association study suggested variants in CRYL1, VWF, ADAMTS7, LRP1B, linc02288, and FPGT-TNNI3K/TNNI3K.
  • Consistent association of SCN with the 3.7 Kb deletion in HBA and variants in APOL1 and HMOX1 genes.

Conclusions:

  • Clinical, genetic, and biochemical factors play a significant role in SCN pathogenesis and progression.
  • This review highlights the consistent association of SCN with specific genetic factors, including APOL1 and HMOX1.
  • There is a critical need for more research, particularly large-scale prospective studies in African SCN cohorts, to address data paucity and improve SCN risk identification and management.

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