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Abdulhamid A, Shepherd BE, Wudil UJ, Van Wyk C, Dankishiya FS, Hussaini N, Wester CW, Aliyu MH. Sickle cell trait, APOL1 risk allele status and chronic kidney disease among ART-experienced adults living with HIV in northern Nigeria. Int J STD AIDS 2024:9564624241262397. [PMID: 38915133 DOI: 10.1177/09564624241262397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
BACKGROUND We sought to determine the prevalence of sickle cell trait (SCT) and apolipoprotein-1 (APOL1) risk variants in people living with HIV (PLWH) in Nigeria, and to establish if SCT and APOL1 high-risk status correlate with estimated glomerular filtration rate (eGFR) and/or prevalent chronic kidney disease (CKD). METHODS Baseline demographic and clinical data were obtained during three cross-sectional visits. CKD was defined as having an eGFR<60 mL/min/1.73 m2. We collected urine specimens to determine urine albumin-creatine ratio and blood samples for sickle cell genotyping, APOL1 testing, and for creatinine/cystatin C assessment. The associations between SCT, APOL1 genotype, and eGFR/CKD stages/CKD were investigated using linear/ordinal logistic/logistic regression models, respectively. RESULTS Of 2443 participants, 599 (24.5%) had SCT, and 2291 (93.8%) had a low-risk APOL1 genotype (0 or 1 risk variant), while 152 (6.2%) had high-risk genotype (2 allele copies). In total, 108 participants (4.4%) were diagnosed with CKD. In adjusted analyses, SCT was associated with lower eGFR (adjusted mean difference [aMD]= -2.33, 95% CI -4.25, -0.42), but not with worse CKD stages, or increased odds of developing CKD. Participants with the APOL1 high risk genotype were more likely to have lower eGFR (aMD= -5.45, 95% CI -8.87, -2.03), to develop CKD (adjusted odds ratio [aOR] = 1.97, 95% CI: 1.03, 3.75), and to be in worse CKD stages (aOR = 1.60, 95% CI: 1.12, 2.29) than those with the low-risk genotype. There was no evidence of interaction between SCT and APOL1 genotype on eGFR or risk of CKD. CONCLUSION Our findings highlight the multifaceted interplay of genetic factors in the pathogenesis of CKD in PLWH.
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Affiliation(s)
- Abdurrahman Abdulhamid
- Department of Statistics, School of Technology, Kano State Polytechnic, Kano, Nigeria
- Department of Mathematical Sciences, Bayero University, Kano, Nigeria
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Usman J Wudil
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chelsea Van Wyk
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Nafiu Hussaini
- Department of Mathematical Sciences, Bayero University, Kano, Nigeria
| | - C William Wester
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Muktar H Aliyu
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
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Shepherd BE, Hussaini N, Huang A, Van Wyk C, Kowalski MS, Ingles DJ, Wester CW, Li C, Aliyu MH. The Vanderbilt Nigeria Biostatistics Training Program (VN-BioStat): Results from a Skills Workshop. INTERNATIONAL JOURNAL OF STATISTICS AND PROBABILITY 2023; 12:66-72. [PMID: 38318241 PMCID: PMC10843821 DOI: 10.5539/ijsp.v12n6p66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
The Vanderbilt-Nigeria Biostatistics Training Program (VN-BioStat) aims to establish a research and training platform for biostatisticians doing HIV-related research in Nigeria, including enhancing mid-level biostatistics capacity through annual workshops. This paper describes findings from the inaugural workshop in Kano, Nigeria. Participants were surveyed before and after the workshop to assess their self-perceived familiarity with and confidence in their abilities to use statistical software and apply specific statistical techniques, as well as to gather feedback regarding the conduct of the workshop and future topic areas. Of the 23 participants enrolled in the workshop, 22 (96%) completed both pre- and post-workshop assessments. In both pre-workshop and post-workshop surveys, participants ranked their confidence in statistical skills using Likert scales. Scores were transformed to a 0-100 scale, and averages computed. Participants also shared open-ended feedback about the workshop and suggested future topic areas. Before the training, the average participant reported having either a "beginner" (30% of participants) or "moderate" (43%) level of familiarity with R. Many participants (65%) rated themselves as having "moderate" or "expert" familiarity with SPSS. Pre-workshop averages for confidence ranged from 26 to 64, with lowest confidence in "expanding continuous covariates in regression models and interpret results" and highest confidence in "fitting and interpreting results from a linear regression model". Post-workshop averages for confidence were all above 70. The lowest post-workshop score (74) was for "fit and interpret results from a semiparametric linear transformation model". The greatest increase in confidence was observed in "expanding continuous covariates in regression models using splines and interpreting results" and the lowest increase was in "fitting and interpreting results from a linear regression model." Participants offered positive feedback on instructor effectiveness (4.9/5) and overall course quality (4.9/5). While the overall course was rated on a 0-100 scale as "moderately difficult" (mean ± SD: 40.5 ± 17.5), the participants felt the course was highly organized (87.7 ± 17.8), and the information was moderately easy to learn (81.9 ± 15.9). Suggestions for future workshops included providing supplementary resources for out-of-classroom learning and releasing codes in advance to enhance participants' preparation. Among suggestions for future workshop topics, 80% of respondents listed survival analysis. Lessons learned provide insight into how short-term training opportunities can be leveraged to build biostatistics capacity in similar settings.
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Affiliation(s)
- Bryan E. Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
| | - Nafiu Hussaini
- Department of Mathematics, Bayero University, Kano, Nigeria
| | - Alex Huang
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
| | - Chelsea Van Wyk
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
| | - Meira S. Kowalski
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
| | - Donna J. Ingles
- Office of the Vice Provost for Research and Innovation, Vanderbilt University, Nashville, TN
| | - C. William Wester
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN
| | - Chun Li
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Muktar H. Aliyu
- Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
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Tu S, Li C, Zeng D, Shepherd BE. Rank intraclass correlation for clustered data. Stat Med 2023; 42:4333-4348. [PMID: 37548059 PMCID: PMC10592008 DOI: 10.1002/sim.9864] [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: 02/23/2023] [Revised: 06/02/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
Clustered data are common in biomedical research. Observations in the same cluster are often more similar to each other than to observations from other clusters. The intraclass correlation coefficient (ICC), first introduced by R. A. Fisher, is frequently used to measure this degree of similarity. However, the ICC is sensitive to extreme values and skewed distributions, and depends on the scale of the data. It is also not applicable to ordered categorical data. We define the rank ICC as a natural extension of Fisher's ICC to the rank scale, and describe its corresponding population parameter. The rank ICC is simply interpreted as the rank correlation between a random pair of observations from the same cluster. We also extend the definition when the underlying distribution has more than two hierarchies. We describe estimation and inference procedures, show the asymptotic properties of our estimator, conduct simulations to evaluate its performance, and illustrate our method in three real data examples with skewed data, count data, and three-level ordered categorical data.
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Affiliation(s)
- Shengxin Tu
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
| | - Chun Li
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Bryan E. Shepherd
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
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Gama RM, Bhaduri M, Atkins W, Nwankiti MK, Hutchison G, Thomas M, Clark K, Kelly CB, Dalrymple KV, Vincent RP, Kametas N, Bramham K. Ethnic disparities in pregnancy-related acute kidney injury in a United Kingdom population. J Nephrol 2023; 36:777-787. [PMID: 36635580 DOI: 10.1007/s40620-022-01516-5] [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: 06/15/2022] [Accepted: 10/25/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND The incidence of acute kidney injury in pregnancy (P-AKI) is rising and is associated with detrimental maternal and foetal outcomes. Ethnic disparities in pregnancy outcomes are well recognized, with females who identify as Black or Asian being more likely to die during pregnancy compared to females who identify as White ethnicity. METHODS This study reports rates of P-AKI and associated risk factors in pregnant females of different ethnicities. All pregnancies were recorded between 2016 and 2020. AKI episodes were identified using electronic alerts. Ethnicity, AKI stage (1-3), obstetric outcomes and risk factors for P-AKI (chronic hypertension, pregnancy-induced hypertension and pre-eclampsia, and haemorrhage) were assessed. RESULTS There were 649 P-AKI episodes from 16,943 deliveries (3.8%). Black females were more likely to have P-AKI (5.72%) compared to those who were White (3.12%), Asian (3.74%), mixed ethnicity (2.89%) and Other/Not Stated (3.10%). Black females, compared to White females, were at greater risk of developing P-AKI if they had haemorrhage requiring blood transfusion (OR 2.44, 95% CI 1.31,4.54; p < 0.001) or pregnancy-induced hypertension (OR 1.79, 95% CI 1.12, 2.86; p < 0.001). After adjusting for risk factors, Black females had increased risk of developing P-AKI (OR 1.52, 95% CI 1.22, 1.80; p < 0.001) compared to White females. Black females were at increased risk of developing P-AKI compared to White females. Mode of delivery, pregnancy-induced hypertension and haemorrhage are likely to have contributed. The increased risk persists despite accounting for these variables, suggesting that other factors such as socioeconomic disparities need to be considered. CONCLUSIONS The incidence of P-AKI is likely higher than previously stated in the literature. However, caution must be exercised, particularly with AKI stage 1, as the KDIGO system is not validated in pregnancy and gestational changes in renal physiology need to be considered. Pregnancy-specific AKI definitions are needed.
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Affiliation(s)
- Rouvick M Gama
- King's Kidney Care, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
| | - Mahua Bhaduri
- King's Fertility Unit, Fetal Medicine Research Institute, Windsor Walk, Denmark Hill, London, UK
| | - William Atkins
- King's Kidney Care, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Miss Kelly Nwankiti
- Department of Haematology, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Gemma Hutchison
- Department of Obstetrics, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Mica Thomas
- Department of Obstetrics, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Katherine Clark
- Department of Females and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Clare B Kelly
- Centre of Public Health, Queen's University, Belfast, UK
| | - Kathryn V Dalrymple
- Population Health Sciences, School of Life Course and Population Sciences, King's College London, London, UK
| | - Royce P Vincent
- Department of Clinical Biochemistry, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Nick Kametas
- Harris Birthright Centre, Fetal Medicine Research Institute, Windsor Walk, Denmark Hill, London, UK
| | - Kate Bramham
- King's Kidney Care, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
- Department of Females and Children's Health, School of Life Course Sciences, King's College London, London, UK
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Hung RKY, Winkler CA, Post FA. Host factors predisposing to kidney disease in people with HIV. Curr Opin HIV AIDS 2023; 18:87-92. [PMID: 36722197 DOI: 10.1097/coh.0000000000000784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
PURPOSE OF REVIEW To highlight advances in understanding of host factors, in particular host genetics, in the development of chronic kidney disease (CKD) in people with HIV. RECENT FINDINGS In Black populations, the G1 and G2 variants of the apolipoprotein L1 (APOL1) gene predispose to HIV-associated nephropathy (HIVAN). The risk of HIVAN is mostly confined to individuals with two APOL1 variants (kidney-risk genotypes). APOL1 kidney-risk genotypes are present in approximately 80% of patients with HIVAN and account for nearly half the burden of end-stage CKD in people of African ancestry with HIV. Progress has been made in elucidating the mechanisms of kidney injury in APOL1 nephropathy, and several targeted molecular therapies are being investigated in clinical trials. Genome- and epigenome-wide association studies are identifying additional genes and pathways that may be involved in the pathogenesis of CKD in people with HIV. SUMMARY Genetic variants of APOL1 are strongly associated with severe CKD and contribute to the high rates of CKD in Black populations with HIV. Most individuals with APOL1 kidney-risk genotypes, however, do not develop kidney disease and further studies are required to understand the role of additional genetic and environmental factors that may affect CKD risk in this population.
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Affiliation(s)
| | - Cheryl A Winkler
- Frederick National Laboratory for Cancer Research and the National Cancer Institute, Frederick, USA
| | - Frank A Post
- King's College London, London, UK
- King's College Hospital NHS Foundation Trust, London, UK
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Abdu A, Duarte R, Dickens C, Dix-Peek T, Bala SM, Ademola B, Naicker S. High risk APOL1 genotypes and kidney disease among treatment naïve HIV patients at Kano, Nigeria. PLoS One 2022; 17:e0275949. [PMID: 36227935 PMCID: PMC9560498 DOI: 10.1371/journal.pone.0275949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/26/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction Racial disparities are known in the occurrence of kidney disease with excess risks found among people of African descent. Apolipoprotein L1 (APOL1) gene variants G1 and G2 are associated with kidney disease among HIV infected individuals of African descent in the USA as well as among black population in South Africa. We set out to investigate the prevalence of these high-risk variants and their effects on kidney disease among HIV infected patients in Northern Nigeria with hitherto limited information despite earlier reports of high population frequencies of these alleles from the Southern part of the country. Methods DNA samples obtained from the whole blood of 142 participants were genotyped for APOL1 G1 and G2 variants after initial baseline investigations including assessment of kidney function. Participants comprised 50 HIV positive patients with no evidence of kidney disease, 52 HIV negative individuals with no kidney disease and 40 HIV positive patients with chronic kidney disease (CKD) evidenced by persistent proteinuria and/or reduced eGFR, who also had a kidney biopsy. All the HIV positive patients were newly diagnosed and treatment naïve. Results The distribution of the APOL1 genotypes among the study participants revealed that 24.6% had a G1 risk allele and 19.0% a G2. The frequency of the High Risk Genotype (HRG) was 12.5% among those with CKD compared to 5.8% in the HIV negative group and zero in the HIV positive no CKD group. Having the HRG was associated with a higher odds for developing HIV Associated Nephropathy (HIVAN) (2 vs 0 risk alleles: OR 10.83, 95% CI 1.38–84.52; P = 0.023; 2 vs 0 or 1 risk alleles: OR 5.5, 95% CI 0.83–36.29; P = 0.07). The HRG was also associated with higher odds for Focal Segmental Glomerulosclerosis (FSGS) (2 vs 0 risk alleles: OR 13.0, 95% CI 2.06–81.91; P = 0.006 and 2 vs 0 or 1 risk alleles: OR 9.0, 95%CI 1.62–50.12; P = 0.01) when compared to the control group. Conclusion This study showed a high population frequency of the individual risk alleles of the APOL1 gene with higher frequencies noted among HIV positive patients with kidney disease. There is high association with the presence of kidney disease and especially FSGS and HIVAN among treatment naive HIV patients carrying two copies of the HRG.
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Affiliation(s)
- Aliyu Abdu
- Department of Medicine Aminu Kano Teaching Hospital/ Bayero University Kano, Kano, Nigeria
- * E-mail:
| | - Raquel Duarte
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Caroline Dickens
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Therese Dix-Peek
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sunusi M. Bala
- Department of Medicine, M.A. Wase Teaching Hospital, Kano, Nigeria
| | - Babatunde Ademola
- Department of Medicine Aminu Kano Teaching Hospital/ Bayero University Kano, Kano, Nigeria
| | - Saraladevi Naicker
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Wester CW, Shepherd BE, Wudil UJ, Musa BM, Ingles DJ, Prigmore HL, Dankishiya FS, Ahonkhai AA, Grema BA, Budge PJ, Takakura A, Olabisi OA, Winkler CA, Kopp JB, Bonventre JV, Wyatt CM, Aliyu MH. Etiology of Persistent Microalbuminuria in Nigeria (P_MICRO study): protocol and study design. BMC Infect Dis 2022; 22:591. [PMID: 35787257 PMCID: PMC9251938 DOI: 10.1186/s12879-022-07531-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/11/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Microalbuminuria is an independent risk factor for cardiovascular and kidney disease and a predictor of end organ damage, both in the general population and in persons with HIV (PWH). Microalbuminuria is also an important risk factor for mortality in PWH treated with antiretroviral therapy (ART). In the ongoing Renal Risk Reduction (R3) study in Nigeria, we identified a high prevalence of microalbuminuria confirmed by two measurements 4-8 weeks apart in ART-experienced, virologically suppressed PWH. Although Stage 1 or 2 hypertension and exposure to potentially nephrotoxic antiretroviral medications were common in R3 participants, other traditional risk factors for albuminuria and kidney disease, including diabetes, APOL1 high-risk genotype, and smoking were rare. Co-infection with endemic pathogens may also be significant contributors to albuminuria, but co-infections were not evaluated in the R3 study population. METHODS In Aim 1, we will cross-sectionally compare the prevalence of albuminuria and established kidney disease risk factors in a cohort of PWH to age- and sex-matched HIV-negative adults presenting for routine care at the Aminu Kano Teaching Hospital in Kano, Nigeria. We will leverage stored specimens from 2500 R3 participants and enroll an additional 500 PLWH recently initiated on ART (≤ 24 months) and 750 age- and sex-matched HIV-negative adults to determine the contribution of HIV, hypertension, and other comorbid medical conditions to prevalent albuminuria. In Aim 2, we will follow a cohort of 1000 HIV-positive, ART-treated and 500 HIV-negative normoalbuminuric adults for 30 months to evaluate the incidence and predictors of albuminuria. DISCUSSION The findings from this study will support the development of interventions to prevent or address microalbuminuria in PWH to reduce kidney and cardiovascular morbidity and mortality. Such interventions might include more intensive monitoring and treatment of traditional risk factors, the provision of renin-angiotensin aldosterone system or sodium-glucose cotransporter-2 inhibitors, consideration of changes in ART regimen, and screening and treatment for relevant co-infections.
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Affiliation(s)
- C William Wester
- Vanderbilt Institute for Global Health (VIGH), 2525 West End Avenue, Suite 750, Nashville, TN, 37203-1738, USA.
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center (VUMC), Nashville, TN, 37203-1738, USA.
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA
| | - Usman J Wudil
- Vanderbilt Institute for Global Health (VIGH), 2525 West End Avenue, Suite 750, Nashville, TN, 37203-1738, USA
| | - Baba Maiyaki Musa
- Department of Medicine, Aminu Kano Teaching Hospital (AKTH), Kano, Nigeria
- Africa Center of Excellence for Population Health and Policy, Bayero University, Kano, Nigeria
| | - Donna J Ingles
- Vanderbilt Institute for Global Health (VIGH), 2525 West End Avenue, Suite 750, Nashville, TN, 37203-1738, USA
| | - Heather L Prigmore
- Department of Biostatistics, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA
| | | | - Aima A Ahonkhai
- Vanderbilt Institute for Global Health (VIGH), 2525 West End Avenue, Suite 750, Nashville, TN, 37203-1738, USA
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center (VUMC), Nashville, TN, 37203-1738, USA
| | - Bukar A Grema
- Department of Family Medicine, Aminu Kano Teaching Hospital (AKTH), Kano, Nigeria
| | - Philip J Budge
- Department of Medicine, Infectious Diseases Division, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Ayumi Takakura
- Brigham and Women's Hospital, Division of Renal Medicine, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Opeyemi A Olabisi
- Department of Medicine, Division of Nephrology, Duke University School of Medicine, Duke Clinical Research Institute, Durham, NC, USA
| | - Cheryl A Winkler
- Basic Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jeffrey B Kopp
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA
| | - Joseph V Bonventre
- Brigham and Women's Hospital, Division of Renal Medicine, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Christina M Wyatt
- Department of Medicine, Division of Nephrology, Duke University School of Medicine, Duke Clinical Research Institute, Durham, NC, USA
| | - Muktar H Aliyu
- Vanderbilt Institute for Global Health (VIGH), 2525 West End Avenue, Suite 750, Nashville, TN, 37203-1738, USA
- Department of Health Policy, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA
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Brandenburg JT, Govender MA, Winkler CA, Boua PR, Agongo G, Fabian J, Ramsay M. Apolipoprotein L1 High-Risk Genotypes and Albuminuria in Sub-Saharan African Populations. Clin J Am Soc Nephrol 2022; 17:798-808. [PMID: 35577564 PMCID: PMC9269651 DOI: 10.2215/cjn.14321121] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 03/30/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND OBJECTIVES Recessive inheritance of African-specific APOL1 kidney risk variants is associated with higher risk of nondiabetic kidney disease, progression to kidney failure, and early-onset albuminuria that precedes eGFR decline. The effect of APOL1 risk variants on kidney disease in continental Africans is understudied. Objectives of this study were to determine APOL1 risk allele prevalence and associations between APOL1 genotypes and kidney disease in West, East, and South Africa. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS This cross-sectional population-based study in four African countries included 10,769 participants largely aged 40-60 years with sociodemographic and health information, anthropometry data, and blood and urine tests for biomarkers of kidney disease. APOL1 risk alleles were imputed from the H3Africa genotyping array, APOL1 risk allele and genotype frequencies were determined, and genetic associations were assessed for kidney disease. Kidney disease was defined as the presence of eGFR <60 ml/min per 1.73 m2, albuminuria, or a composite end point including eGFR <60 ml/min per 1.73 m2 and/or albuminuria. RESULTS High G1 allele frequencies occurred in South and West Africa (approximately 7%-13%). G2 allele frequencies were highest in South Africa (15%-24%), followed by West Africa (9%-12%). Associations between APOL1 risk variants and albuminuria were significant for recessive (odds ratio, 1.63; 95% confidence interval, 1.25 to 2.12) and additive (odds ratio, 1.39; 95% confidence interval, 1.09 to 1.76) models. Associations were stronger for APOL1 G1/G1 genotypes versus G0/G0 (odds ratio, 3.87; 95% confidence interval, 2.16 to 6.93) compared with either G2/G2 (odds ratio, 1.65; 95% confidence interval, 1.09 to 2.51) or G1/G2 (odds ratio, 1.24; 95% confidence interval, 0.83 to 1.87). No association between APOL1 risk variants and eGFR <60 ml/min per 1.73 m2 was observed. CONCLUSIONS APOL1 G1 and G2 alleles and high-risk genotype frequencies differed between and within West and South Africa and were almost absent from East Africa. APOL1 risk variants were associated with albuminuria but not eGFR <60 ml/min per 1.73 m2. There may be differential effects of homozygous G1 and G2 genotypes on albuminuria that require further investigation. PODCAST This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_05_16_CJN14321121.mp3.
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Affiliation(s)
- Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Melanie A Govender
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl A Winkler
- Molecular Genetic Epidemiology Section, Basic Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Palwende Romuald Boua
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé-DRCO, Nanoro, Burkina Faso
| | - Godfred Agongo
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.,Department of Biochemistry and Forensic Sciences, School of Chemical and Biochemical Sciences, C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
| | - June Fabian
- Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa .,Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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9
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Hung RK, Binns-Roemer E, Booth JW, Hilton R, Harber M, Santana-Suarez B, Campbell L, Fox J, Ustianowski A, Cosgrove C, Burns JE, Clarke A, Price DA, Chadwick D, Onyango D, Hamzah L, Bramham K, Sabin CA, Winkler CA, Post FA. Genetic Variants of APOL1 Are Major Determinants of Kidney Failure in People of African Ancestry With HIV. Kidney Int Rep 2022; 7:786-796. [PMID: 35497797 PMCID: PMC9039486 DOI: 10.1016/j.ekir.2022.01.1054] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/11/2022] [Accepted: 01/17/2022] [Indexed: 12/11/2022] Open
Abstract
Introduction Variants of the APOL1 gene are associated with chronic kidney disease (CKD) in people of African ancestry, although evidence for their impact in people with HIV are sparse. Methods We conducted a cross-sectional study investigating the association between APOL1 renal risk alleles and kidney disease in people of African ancestry with HIV in the UK. The primary outcome was end-stage kidney disease (ESKD; estimated glomerular filtration rate [eGFR] of <15 ml/min per 1.73 m2, chronic dialysis, or having received a kidney transplant). The secondary outcomes included renal impairment (eGFR <60 ml/min per 1.73 m2), albuminuria (albumin-to-creatinine ratio [ACR] >30 mg/mmol), and biopsy-proven HIV-associated nephropathy (HIVAN). Multivariable logistic regression was used to estimate the associations between APOL1 high-risk genotypes (G1/G1, G1/G2, G2/G2) and kidney disease outcomes. Results A total of 2864 participants (mean age 48.1 [SD 10.3], 57.3% female) were genotyped, of whom, 354 (12.4%) had APOL1 high-risk genotypes, and 99 (3.5%) had ESKD. After adjusting for demographic, HIV, and renal risk factors, individuals with APOL1 high-risk genotypes were at increased odds of ESKD (odds ratio [OR] 10.58, 95% CI 6.22-17.99), renal impairment (OR 5.50, 95% CI 3.81-7.95), albuminuria (OR 3.34, 95% CI 2.00-5.56), and HIVAN (OR 30.16, 95% CI 12.48-72.88). An estimated 49% of ESKD was attributable to APOL1 high-risk genotypes. Conclusion APOL1 high-risk genotypes were strongly associated with kidney disease in people of African ancestry with HIV and accounted for approximately half of ESKD cases in this cohort.
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Affiliation(s)
| | - Elizabeth Binns-Roemer
- Basic Research Laboratory, Frederick National Laboratory for Cancer Research and the National Cancer Institute, Frederick, Maryland, USA
| | | | - Rachel Hilton
- Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Mark Harber
- Royal Free London Hospital NHS Foundation Trust, London, UK
| | | | | | - Julie Fox
- King’s College London, London, UK
- Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | | | | | - James E. Burns
- University College London, London, UK
- Central and North West London NHS Foundation Trust, London, UK
| | - Amanda Clarke
- Brighton and Sussex University Hospital NHS Trust, Brighton, UK
- Brighton and Sussex Medical School Department of Infectious Disease, Brighton, UK
| | | | - David Chadwick
- South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK
| | | | - Lisa Hamzah
- St George’s Hospital NHS Foundation Trust, London, UK
| | - Kate Bramham
- King’s College London, London, UK
- King’s College Hospital NHS Foundation Trust, London, UK
| | | | - Cheryl A. Winkler
- Basic Research Laboratory, Frederick National Laboratory for Cancer Research and the National Cancer Institute, Frederick, Maryland, USA
| | - Frank A. Post
- King’s College London, London, UK
- King’s College Hospital NHS Foundation Trust, London, UK
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10
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Kabore NF, Cournil A, Poda A, Ciaffi L, Binns-Roemer E, David V, Eymard-Duvernay S, Zoungrana J, Semde A, Sawadogo AB, Koulla-Shiro S, Kouanfack C, Ngom-Gueye NF, Meda N, Winkler C, Limou S. APOL1 Renal Risk Variants and Kidney Function in HIV-1–Infected People From Sub-Saharan Africa. Kidney Int Rep 2022; 7:483-493. [PMID: 35257061 PMCID: PMC8897309 DOI: 10.1016/j.ekir.2021.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/22/2021] [Accepted: 10/06/2021] [Indexed: 11/04/2022] Open
Abstract
Introduction APOL1 G1 and G2 alleles have been associated with kidney-related outcomes in people living with HIV (PLHIV) of Black African origin. No APOL1-related kidney risk data have yet been reported in PLHIV in West Africa, where high APOL1 allele frequencies have been observed. Methods We collected clinical data from PLHIV followed in Burkina Faso (N = 413) and in the ANRS-12169/2LADY trial (Cameroon, Senegal, Burkina Faso, N = 369). APOL1 G1 and G2 risk variants were genotyped using TaqMan assays, and APOL1 high-risk (HR) genotype was defined by the carriage of 2 risk alleles. Results In West Africa (Burkina Faso and Senegal), the G1 and G2 allele frequencies were 13.3% and 10.7%, respectively. In Cameroon (Central Africa), G1 and G2 frequencies were 8.7% and 8.9%, respectively. APOL1 HR prevalence was 4.9% in West Africa and 3.4% in Cameroon. We found no direct association between APOL1 HR and estimated glomerular filtration rate (eGFR) change over time. Nevertheless, among the 2LADY cohort participants, those with both APOL1 HR and high baseline viral load had a faster eGFR progression (β = −3.9[−7.7 to −0.1] ml/min per 1.73 m2 per year, P < 0.05) than those with low-risk (LR) genotype and low viral load. Conclusion Overall, the APOL1 risk allele frequencies in PLHIV were higher in the West African countries than in Cameroon, but much lower than previously reported in some Nigeria ethnic groups, which strongly advocates for further investigation in the African continent. This study suggested that the virological status could modulate the APOL1 impact on kidney function, hence reinforcing the need for early therapeutic interventions.
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11
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Eneanya ND, Boulware LE, Tsai J, Bruce MA, Ford CL, Harris C, Morales LS, Ryan MJ, Reese PP, Thorpe RJ, Morse M, Walker V, Arogundade FA, Lopes AA, Norris KC. Health inequities and the inappropriate use of race in nephrology. Nat Rev Nephrol 2022; 18:84-94. [PMID: 34750551 PMCID: PMC8574929 DOI: 10.1038/s41581-021-00501-8] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2021] [Indexed: 12/13/2022]
Abstract
Chronic kidney disease is an important clinical condition beset with racial and ethnic disparities that are associated with social inequities. Many medical schools and health centres across the USA have raised concerns about the use of race - a socio-political construct that mediates the effect of structural racism - as a fixed, measurable biological variable in the assessment of kidney disease. We discuss the role of race and racism in medicine and outline many of the concerns that have been raised by the medical and social justice communities regarding the use of race in estimated glomerular filtration rate equations, including its relationship with structural racism and racial inequities. Although race can be used to identify populations who experience racism and subsequent differential treatment, ignoring the biological and social heterogeneity within any racial group and inferring innate individual-level attributes is methodologically flawed. Therefore, although more accurate measures for estimating kidney function are under investigation, we support the use of biomarkers for determining estimated glomerular filtration rate without adjustments for race. Clinicians have a duty to recognize and elucidate the nuances of racism and its effects on health and disease. Otherwise, we risk perpetuating historical racist concepts in medicine that exacerbate health inequities and impact marginalized patient populations.
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Affiliation(s)
- Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer Tsai
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Marino A Bruce
- Program for Research on Faith, Justice, and Health, Department of Behavioral and Social Sciences, University of Houston College of Medicine, Houston, TX, USA
| | - Chandra L Ford
- Center for the Study of Racism, Social Justice & Health, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Christina Harris
- VA Greater Los Angeles Healthcare System, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Leo S Morales
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Michael J Ryan
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roland J Thorpe
- Program for Research on Men's Health, Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michelle Morse
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Valencia Walker
- Department of Paediatrics, Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Antonio A Lopes
- Clinical Epidemiology and Evidence-Based Medicine Unit of the Edgard Santos University Hospital and Department of Internal Medicine, Federal University of Bahia, Salvador, Brazil
| | - Keith C Norris
- VA Greater Los Angeles Healthcare System, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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12
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Expression of concern from the KI Editors: "Apolipoprotein-1 risk variants and associated kidney phenotypes in an adult HIV cohort in Nigeria" [Kidney International, July 2021, Pages 146-154] and "APOL1-associated kidney disease in northern Nigerians with treated HIV infection" [Kidney International, July 2021, Pages 19-21]. Kidney Int 2022; 101:188. [PMID: 34991808 DOI: 10.1016/j.kint.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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13
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Fabian J, Gondwe M, Mayindi N, Chipungu S, Khoza B, Gaylard P, Wade AN, Gómez-Olivé FX, Tomlinson LA, Ramsay M, Tollman S, Winkler C, George JA, Naicker S. Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study. Wellcome Open Res 2022; 7:236. [PMID: 36457874 PMCID: PMC9674890.2 DOI: 10.12688/wellcomeopenres.18016.2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Background: In Africa, true prevalence of chronic kidney disease (CKD) is unknown, and associated clinical and genetic risk factors remain understudied. This population-based cohort study aimed to investigate CKD prevalence and associated risk factors in rural South Africa. Methods: A total 2021 adults aged 20-79 years were recruited between 2017-2018 from the Agincourt Health and Socio-Demographic Surveillance System in Bushbuckridge, Mpumalanga, South Africa. The following were collected: sociodemographic, anthropometric, and clinical data; venous blood samples for creatinine, hepatitis B serology; DNA extraction; spot urine samples for dipstick testing and urine albumin: creatinine ratio (UACR) measurement. Point-of-care screening determined prevalent HIV infection, diabetes, and hypercholesterolemia. DNA was used to test for apolipoprotein L1 ( APOL1) kidney risk variants. Kidney Disease Improving Global Outcomes (KDIGO) criteria were used to diagnose CKD as low eGFR (<60mL/min/1.73m 2) and /or albuminuria (UACR ≥ 3.0mg/mmol) confirmed with follow up screening after at least three months. eGFR was calculated using the CKD-EPI (creatinine) equation 2009 with no ethnicity adjustment. Multivariable logistic regression was used to model CKD risk. Results: The WHO age-adjusted population prevalence of CKD was 6.7% (95% CI 5.4 - 7.9), mostly from persistent albuminuria. In the fully adjusted model, APOL1 high-risk genotypes (OR 2.1; 95% CI 1.3 - 3.4); HIV infection (OR 1.8; 1.1 - 2.8); hypertension (OR 2.8; 95% CI 1.8 - 4.3), and diabetes (OR 4.1; 95% CI 2.0 - 8.4) were risk factors. There was no association with age, sex, level of education, obesity, hypercholesterolemia, or hepatitis B infection. Sensitivity analyses showed that CKD risk factor associations were driven by persistent albuminuria, and not low eGFR. One third of those with CKD did not have any of these risk factors. Conclusions: In rural South Africa, CKD is prevalent, dominated by persistent albuminuria, and associated with APOL1 high-risk genotypes, hypertension, diabetes, and HIV infection.
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Affiliation(s)
- June Fabian
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Mwawi Gondwe
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Nokthula Mayindi
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Shingirai Chipungu
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Bongekile Khoza
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Petra Gaylard
- Data Management and Statistical Analysis, (DMSA), Johannesburg, Gauteng, 2193, South Africa
| | - Alisha N Wade
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - F. Xavier Gómez-Olivé
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Laurie A Tomlinson
- Department of non-communicable disease epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Michele Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Stephen Tollman
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- International Network for the Demographic Evaluation of Populations and their Health, (INDEPTH), Accra, Ghana
| | - Cheryl Winkler
- Molecular Genetic Epidemiology Section, Basic Research Laboratory, Frederick National Laboratory for Cancer Research, NCI, Frederick, MD 21701, USA
| | - Jaya A George
- Department of Chemical Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- Department of Chemical Pathology, National Health Laboratory Service, Johannesburg, Gauteng, 2193, South Africa
| | - Saraladevi Naicker
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
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14
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Fabian J, Gondwe M, Mayindi N, Chipungu S, Khoza B, Gaylard P, Wade AN, Gómez-Olivé FX, Tomlinson LA, Ramsay M, Tollman S, Winkler C, George JA, Naicker S. Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study. Wellcome Open Res 2022; 7:236. [PMID: 36457874 PMCID: PMC9674890 DOI: 10.12688/wellcomeopenres.18016.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2022] [Indexed: 11/20/2022] Open
Abstract
Background: In Africa, true prevalence of chronic kidney disease (CKD) is unknown, and associated clinical and genetic risk factors remain understudied. This population-based cohort study aimed to investigate CKD prevalence and associated risk factors in rural South Africa. Methods: A total 2021 adults aged 20-79 years were recruited between 2017-2018 from the Agincourt Health and Socio-Demographic Surveillance System in Bushbuckridge, Mpumalanga, South Africa. The following were collected: sociodemographic, anthropometric, and clinical data; venous blood samples for creatinine, hepatitis B serology; DNA extraction; spot urine samples for dipstick testing and urine albumin: creatinine ratio (UACR) measurement. Point-of-care screening determined prevalent HIV infection, diabetes, and hypercholesterolemia. DNA was used to test for apolipoprotein L1 ( APOL1) kidney risk variants. Kidney Disease Improving Global Outcomes (KDIGO) criteria were used to diagnose CKD as low eGFR (<60mL/min/1.73m 2) and /or albuminuria (UACR ≥ 3.0mg/mmol) confirmed with follow up screening after at least three months. eGFR was calculated using the CKD-EPI (creatinine) equation 2009 with no ethnicity adjustment. Multivariable logistic regression was used to model CKD risk. Results: The WHO age-adjusted population prevalence of CKD was 6.7% (95% CI 5.4 - 7.9), mostly from persistent albuminuria. In the fully adjusted model, APOL1 high-risk genotypes (OR 2.1; 95% CI 1.3 - 3.4); HIV infection (OR 1.8; 1.1 - 2.8); hypertension (OR 2.8; 95% CI 1.8 - 4.3), and diabetes (OR 4.1; 95% CI 2.0 - 8.4) were risk factors. There was no association with age, sex, level of education, obesity, hypercholesterolemia, or hepatitis B infection. Sensitivity analyses showed that CKD risk factor associations were driven by persistent albuminuria, and not low eGFR. One third of those with CKD did not have any of these risk factors. Conclusions: In rural South Africa, CKD is prevalent, dominated by persistent albuminuria, and associated with APOL1 high-risk genotypes, hypertension, diabetes, and HIV infection.
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Affiliation(s)
- June Fabian
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Mwawi Gondwe
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Nokthula Mayindi
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Shingirai Chipungu
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Bongekile Khoza
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Petra Gaylard
- Data Management and Statistical Analysis, (DMSA), Johannesburg, Gauteng, 2193, South Africa
| | - Alisha N Wade
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - F. Xavier Gómez-Olivé
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Laurie A Tomlinson
- Department of non-communicable disease epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Michele Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
| | - Stephen Tollman
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- International Network for the Demographic Evaluation of Populations and their Health, (INDEPTH), Accra, Ghana
| | - Cheryl Winkler
- Molecular Genetic Epidemiology Section, Basic Research Laboratory, Frederick National Laboratory for Cancer Research, NCI, Frederick, MD 21701, USA
| | - Jaya A George
- Department of Chemical Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
- Department of Chemical Pathology, National Health Laboratory Service, Johannesburg, Gauteng, 2193, South Africa
| | - Saraladevi Naicker
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, Gauteng, 2193, South Africa
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15
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Masimango MI, Jadoul M, Binns-Roemer EA, David VA, Sumaili EK, Winkler CA, Limou S. APOL1 Renal Risk Variants and Sickle Cell Trait Associations With Reduced Kidney Function in a Large Congolese Population-Based Study. Kidney Int Rep 2021; 7:474-482. [PMID: 35257060 PMCID: PMC8897685 DOI: 10.1016/j.ekir.2021.09.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/30/2021] [Indexed: 12/14/2022] Open
Abstract
Introduction Methods Results Conclusion
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Affiliation(s)
- Mannix Imani Masimango
- Department of Internal Medicine, Hôpital Provincial Général de Référence de Bukavu, Université Catholique de Bukavu, Bukavu, Democratic Republic of the Congo
- Department of Nephrology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Michel Jadoul
- Department of Nephrology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Elizabeth A. Binns-Roemer
- Basic Science Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, Maryland, USA
| | - Victor A. David
- Basic Science Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, Maryland, USA
| | - Ernest Kiswaya Sumaili
- Department of Nephrology, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Cheryl A. Winkler
- Basic Science Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, Maryland, USA
| | - Sophie Limou
- Basic Science Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, Maryland, USA
- Institute for Transplantation in Urology-Nephrology, Centre de Recherche en Transplantation et Immunologie, UMR1064, Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Nantes, France
- Ecole Centrale de Nantes, Computer sciences and Mathematics in Biology Department, Nantes, France
- Correspondence: Sophie Limou, Centre de Recherche en Transplantation et Immunologie, Institut National de la Santé et de la Recherche Médicale, UMR1064 - Team 5, 30 bd Jean Monnet, 44093 Nantes Cedex 1, France.
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16
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Olabisi OA, Freedman BI. APOL1-associated kidney disease in northern Nigerians with treated HIV infection. Kidney Int 2021; 100:19-21. [PMID: 34154709 PMCID: PMC9827565 DOI: 10.1016/j.kint.2021.04.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/05/2021] [Accepted: 04/14/2021] [Indexed: 01/11/2023]
Abstract
Apolipoprotein L1 (APOL1) high-risk genotypes strongly associate with HIV-associated nephropathy, and antiretroviral therapy reduces the incidence of HIV-associated nephropathy and progression to end-stage kidney disease. Wudil et al. report cross-sectional APOL1 associations with proteinuria and estimated glomerular filtration rate in a northern Nigerian sample with HIV infection on antiretroviral therapy. Multiple ethnic groups with different APOL1 risk variant frequencies were included. Overall, APOL1 was associated with proteinuric chronic kidney disease; however, relationships with underlying causes of nephropathy and progression rates require further study.
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Affiliation(s)
- Opeyemi A Olabisi
- Department of Medicine, Division of Nephrology and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
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