| Literature DB >> 30976395 |
Ernest K Sumaili1, Revital Shemer2, Etty Kruzel-Davila2,3, Eric P Cohen4, Pierre N Mutantu5, Justine B Bukabau1, Jean Robert R Makulo1, Vieux M Mokoli1, Jeannine L Luse6, Nestor M Pakasa7, Etienne Cavalier8, Roger D Wumba9, Anat Reiner-Benaim10, Geoffrey Boner11, Meyer Lifschitz12, Nazaire M Nseka1, Karl Skorecki2,3, Walter G Wasser3,13.
Abstract
BACKGROUND: Sub-Saharan Africans exhibit a higher frequency of chronic kidney disease (CKD) than other populations. In this study, we sought to determine the frequency of apolipoprotein L1 (APOL1) genotypes in hypertension-attributed CKD in Kinshasa, Democratic Republic of the Congo.Entities:
Keywords: APOL1 risk variants; CKD; Kinshasa; Trypanosoma brucei gambiense; hypertension
Year: 2018 PMID: 30976395 PMCID: PMC6452203 DOI: 10.1093/ckj/sfy073
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
FIGURE 1Map of the Democratic Republic of the Congo. The frequencies of APOL1 alleles in the study population are: G1, 19.13%; G2, 7.09%. The identified countries exhibited higher APOL1 G1 allele frequencies than this in at least one study.
Descriptive characteristics of participants by CKD status
| Cases, | Controls, | P-value | |
|---|---|---|---|
| Male gender, | 52 (72.2) | 39 (47.0) | 0.001 |
| FH-CKD, | 17 (21) | 8 (8.9) | 0.041 |
| HT, | 79 (100) | 14 (16.9) | <0.0001 |
| Duration HT, years | 8.7 ± 6.4 | 4.6 ± 5.6 | 0.039 |
| Native language, | 0.065 | ||
| Kikongo | 38 (56.7) | 55 (67.1) | |
| Tshiluba | 15 (22.4) | 11 (13.4) | |
| Swahili | 10 (14.9) | 5 (6.1) | |
| Lingala | 4 (6) | 11 (13.4) | |
| Age range, years, | 0.520 | ||
| 18–39 | 11 (13.9) | 7 (8.4) | |
| 40–59 | 46 (58.2) | 53 (63.9) | |
| | 22 (27.8) | 23 (27.7) | |
| Age, years | 51.9 ± 11.8 | 53 ± 10.8 | 0.497 |
| SBP, mmHg | 150.1 ± 21.2 | 132.9 ± 22.6 | <0.0001 |
| DBP, mmHg | 87.0 ± 13.9 | 79.1 ± 13.0 | 0.001 |
| BMI, kg/m2 | 24.7 ± 4.7 | 27.4 ± 6.0 | 0.103 |
| Proteinuria, g/24 h | 370 ± 262 | 0 | <0.0001 |
| S Creatinine, mg/dL | 13.4 ± 8.5 | 0.89 ± 0.19 | <0.0001 |
| CKD status, | |||
| Stage 1 | 0 | 0 | |
| Stage 2 | 10 (12.7) | 0 | |
| Stage 3 | 6 (7.6) | 0 | |
| Stage 4 | 0 | 0 | |
| ESKD (Stage 5) | 63 (79.7) | 0 | |
| Setting | |||
| General population, | 5 (6.3) | 79 (96.2) | <0.0001 |
| Hospital, | 74 (93.6) | 4 (4.8) | <0.0001 |
Four of the controls were from hospital clinics. Values are expressed as numbers and proportions in parentheses or mean ± SD, as appropriate. Percentages are based on the total participant number, except regarding native language or the number responding. For 13 subjects, it was not possible to identify the precise native language (missing data).
HT, hypertension; SBP, systolic blood pressure; DBP, diastolic blood pressure; S creatinine, serum creatinine; FH, family history.
FIGURE 2Distribution of human African trypanosomiasis (HAT) from 2010 to 2014. Map obtained with permission from Franco et al. [10]. The overwhelming majority of HAT cases represent T.b. gambiense infections. Red circles (gambiense HAT cases) are plotted and then overlaid with green circles (active screening campaigns in which no HAT cases were detected). As a result, only the green circles located at the fringes of the gambiense HAT distribution are visible. There is a strikingly high occurrence of T.b. gambiense in the DRC, particularly near Kinshasa. This is consistent with our finding of a relative lack of individuals carrying the G2 allele. There was one HAT case in Nigeria.
FIGURE 3Frequency of carrying two APOL1 risk alleles among controls (2.4%), CKD individuals (12.7%) and among ESKD individuals (14.3%) from Kinshasa. The occurrence of APOL1 two risk alleles is higher in those with hypertension-attributed CKD compared with controls with no renal disease, and even higher in those with hypertensive ESKD compared with controls (both P < 0.01).
The count of each genotype in hypertension-attributed CKD cases and controls
| Cases, | Controls, | |
|---|---|---|
| Wt/Wt | 45 (0.56) | 44 (0.53) |
| Wt/G1 | 17 (0.21) | 27 (0.32) |
| Wt/G2 | 7 (0.08) | 10 (0.12) |
| G1/G1 | 7 (0.08) | 0 |
| G1/G2 | 3 (0.04) | 1 (0.01) |
| G2/G2 | 0 | 1 (0.01) |
| Zero or one risk alleles | 69 (0.87) | 81 (0.97) |
| Two risk alleles | 10 (0.13) | 2 (0.02) |
Wt or G0 = a chromosome that does not carry G1 or G2; G1 = one chromosome carrying the risk allele G1 (rs73885319 and rs60910145); G2 = one chromosome carrying the risk allele G2 (rs71785313).
Factors associated with hypertension-attributed nephropathy among individuals from Kinshasa
| Determinants | Unadjusted OR (95% CI) | P-value | Adjusted OR (95% CI) | P-value |
|---|---|---|---|---|
| High risk (G1/G1, G1/G2, G2/G2 versus G0/G0) | 5.8 (1.2–27.7) | 0.025 | 7.7 (1.5–39.7) | 0.014 |
| Male gender versus female | 2.9 (1.5–5.6) | 0.001 | 2.7 (1.3–5.7) | 0.006 |
| FH-CKD | 2.7 (1.016–7.3) | 0.045 | 2.5 (0.88–7.1) | 0.08 |
Initially, a separate univariate logistic regression was performed for each independent variable. Three variables were considered: the presence of the high-risk APOL1 genotypes G1/G1, G2/G2 and G1/G2; male gender; and FH-CKD. These variables were statistically significant (P < 0.05), with unadjusted ORs of 5.8, 2.9 and 2.7, respectively. To investigate possible confounding variables and collinearity between independent variables, all significant risk factors from the univariate analysis were subjected to multivariate analysis via stepwise adjustment of all three variables (high-risk alleles, male gender and FH-CKD). The results showed that high-risk APOL1 genotypes were strongly and independently associated with hypertension-attributed nephropathy (adjusted OR). Additionally, male gender and FH-CKD were independently associated with hypertension-attributed nephropathy. CI, confidence interval.
Comparison of APOL1 genotype counts between Africa and the USA
| G1/G1 | G1/G0 | G2/G2 | G2/G0 | G1/G2 | G0/G0 | Total | |
|---|---|---|---|---|---|---|---|
| Hypertension-attributed CKD and ESKD | |||||||
| Present report | 7 | 17 | 0 | 7 | 3 | 45 | 79 |
| Ulasi | 14 | 9 | 0 | 3 | 15 | 3 | 44 |
| Tzur | 63 | 82 | 18 | 50 | 59 | 85 | 357 |
| Genovese | 60 | 27 | 14 | 9 | 53 | 29 | 192 |
| Genovese | 219 | 173 | 44 | 127 | 203 | 239 | 1002 |
| NS | NS | P = 0.005 | NS | NS | NS | ||
| Controls | |||||||
| Present report | 0 | 27 | 1 | 10 | 1 | 44 | 83 |
| Ulasi | 5 | 12 | 1 | 14 | 4 | 7 | 43 |
| Tzur | 7 | 73 | 6 | 75 | 15 | 337 | 513 |
| Genovese | 9 | 41 | 5 | 36 | 8 | 77 | 176 |
| Genovese | 41 | 250 | 18 | 155 | 50 | 409 | 923 |
| NS | NS | NS | NS | NS | NS | ||
The Kinshasa CKD patients with two APOL1 risk alleles include individuals with the G1/G1 or G1/G2 genotype but not the G2/G2 genotype. This absence of G2/G2 genotypes was observed in the previously investigated Nigerian CKD study cases as well. In contrast, multiple studies among African-Americans have reported G2/G2 genotype frequencies of ∼5%. (i) Data from this present study. (ii) Data from Ulasi et al. [19]. (iii) Data from Tsur et al. [2]. (iv) Data from Genovese et al.-a [1]—dealing with focal segmental glomerulosclerosis in the USA. (v) Data from Genovese et al.-b [1]—dealing with hypertension-attributed nephropathy in the USA.