| Literature DB >> 24412050 |
Ricardo Correa-Rotter1, Catharina Wesseling2, Richard J Johnson3.
Abstract
An epidemic of chronic kidney disease of unknown origin has emerged in the last decade in Central America and has been named Mesoamerican nephropathy. This form of chronic kidney disease is present primarily in young male agricultural workers from communities along the Pacific coast, especially workers in the sugarcane fields. In general, these men have a history of manual labor under very hot conditions in agricultural fields. Clinically, they usually present with normal or mildly elevated systemic blood pressure, asymptomatic yet progressive reduction in estimated glomerular filtration rate, low-grade non-nephrotic proteinuria, and often hyperuricemia and or hypokalemia. Diabetes is absent in this population. Kidney biopsies that have been performed show a chronic tubulointerstitial disease with associated secondary glomerulosclerosis and some signs of glomerular ischemia. The cause of the disease is unknown; this article discusses and analyzes some of the etiologic possibilities currently under consideration. It is relevant to highlight that recurrent dehydration is suggested in multiple studies, a condition that possibly could be exacerbated in some cases by other conditions, including the use of nonsteroidal anti-inflammatory agents. At present, Mesoamerican nephropathy is a medical enigma yet to be solved.Entities:
Keywords: Chronic kidney disease; Mesoamerica
Mesh:
Year: 2014 PMID: 24412050 PMCID: PMC7115712 DOI: 10.1053/j.ajkd.2013.10.062
Source DB: PubMed Journal: Am J Kidney Dis ISSN: 0272-6386 Impact factor: 8.860
Figure 1Geographic region known as Mesoamerica incudes Southeastern Mexico, Guatemala, Belize, El Salvador, Honduras, Nicaragua, Costa Rica, and Panama.
Epidemiologic Studies in Nicaragua and El Salvador Examining Possible Risk Factors for Reduced Kidney Function
| Torres et al | Sanoff et al | O’Donnell et al | González-Quiroz | Laux et al | McClean et al | McClean et al | Peraza et al | Orantes et al | |
|---|---|---|---|---|---|---|---|---|---|
| Design | Community-based cross-sectional survey | Screening program & nested case-control analysis | Community-based cross-sectional survey & case-control | Community-based cross-sectional survey | Community-based cross-sectional survey | Occupational cross-sectional survey | Prospective cohort (over a harvest season) | Community-based cross-sectional survey | Community-based screening & cross-sectional survey |
| Country | Nicaragua | Nicaragua | Nicaragua | Nicaragua | Nicaragua | Nicaragua | Nicaragua | El Salvador | El Salvador |
| Setting altitude & type | 4 villages at <300 masl in León/Chinandega: mining-subsistence farming, banana-sugarcane, fishing, service; 1 village at 200-675 masl: Coffee | 9 municipalities in León/Chinandega, generally in lowlands, includes sugarcane areas | 1 agricultural municipality, Quezalguaque in León; 80% with residence <500 masl | 55 communities in Chichigalpa, lowlands <300 masl, mostly sugarcane | 1 coffee village at 1,000 masl | Workers in mining, construction, & ports in lowland León/Chinandega, never worked in sugarcane | 1 sugarcane company in lowland Chinandega with distinct job titles | 5 distinct communities, 2 at sea level: both sugarcane; 3 at ≥500 masl: sugarcane, coffee, service | 3 coastal agricultural communities in the mouth of Lempa River (Bajo Lempa), at sea level |
| Study population (age, sex) | All community members, age 20-60 y, N = 1,096 (479 M/617 F) | Screening program: volunteers, age ≥ 18 y, N = 997 (848 M/149 F); Case-control: 112 cases, 222 controls, women excluded | Cross-sectional survey: weighted random sample, age ≥ 18 y, 17% of households, N = 771 (298 M/473 F); Case control: 98 cases & 221 controls from same household | Weighted random sample, age 20-60 y, N = 704 (237 M/467 F) | All community members, age 20-60 y, N = 267 (120 M/167 F) | Miners, n = 51; construction workers, n = 60; port workers, n = 53; age 18-63 y, only 3 F | Age 18-63 y, N = 284 (254 M/30 F); cane cutters, n = 51; seed cutters, n = 26; irrigators, n = 50; (re)seeders, n = 28; agrochemical applicators, n = 26; drivers, n = 41; factory workers, n = 50 | All community members, age 20-60 y, N = 674 (256 M/408 F) | 375 families (88% of community members), age > 18 y, N = 775 (343 M/432 F) |
| Community or group prevalence (%) of eGFRMDRD < 60 mL/min/1.73 m2 | Mining/subsistence farming: M 18.5/F 4.9; banana-sugarcane: M 17.1/F 4.0; fishing: M 10.5/F 2.2; service, M 0.0/F 0.0; coffee, M 7.5/F 0.0 | Volunteer population: M 14.0/F 3.4 | M 20.1/F 8.0 | M 28.3/F 2.4 | M 0.0/F 1.4 | Mining, 5.9; construction, 5.0; port work, 7.9 | All workers preharvest, 0.4 (requirement for hiring SCr ≤ 1.3 mg/dL); all workers at late harvest, 5.5; cane cutters, 5.9; seed cutters, 11.5; irrigators, 2.0; other categories, 0.0 | Sugarcane lowland, M 18.6/F 8.0; sugarcane highland, M 1.8/F 3.1; coffee, M 0.0/F 1.2; services, M 0.0/F 2.4 | M 16.9/F 4.1 |
| Urinary biomarkers of kidney function | Not studied | Not studied | Not studied | Not studied | Not studied | Increased NGAL & NAG associated with decr eGFR; IL-18 highest in miners but not associated with decr eGFR | At late harvest: NGAL, NAG, & IL-18 highest in cane/seed cutters; Incr NGAL & NAG associated with decr eGFR; increase of NGAL & IL-18 during harvest largest for cane cutters & NAG largest for cane & seed cutters | Not studied | Not studied |
| Male sex | Yes | Yes | Yes | Yes | No | NA (only 3 women) | NR | Yes | Yes |
| Hypertension | Yes: men | No | Yes | Yes (NS) | No | NR | NR | Yes: women | Yes |
| Diabetes | No | No | No | Yes: women | No | No | No | Yes: women | No |
| Residence at low altitude | All excess CKD at low altitude, but service village at sea level without excess CKD | NR | Yes | NA (all lowland) | NA (all lowland) | NA (all lowland) | NA (all lowland) | Yes | NA (all lowland) |
| Family history of CKD | NR | Yes | NR | NR | NR | NR | NR | NR | Yes |
| (Illegal) alcohol | No | Yes: illegal; no: legal | Yes: legal (NS); no: illegal | No | No | No | No | No | No |
| NSAIDs | Yes: women (NS) | NR | No | No | No | NR | NR | No | No |
| Metals | Not studied | Not studied | No: lead | Not studied | Not studied | Yes: high total arsenic; no: lead, cadmium, uranium | Not studied | Not studied | |
| Any agricultural work | Yes | Yes | No | No | No | NA | Yes | Yes | No |
| Sugarcane | Yes | NR | No | Yes | NA | NA | Yes: fieldworkers, especially cane & seed cutters | Yes: lowland; no: highland | NR |
| Cotton | NR | No | No | No | NA | NA | NA | Yes | NR |
| Coffee | No | NA | NA | NA | No | NA | NA | No | NA |
| Subsistence farming | Yes | NR | NR | NR | NR | NA | NA | Unclear | NR |
| Other crops | Yes: banana | Yes: banana, corn, rice; No: beans, sesame seed, cattle | NR | No: banana | NR | NA | NA | No | NR |
| Other jobs with heat exposure | Yes: mining, artisanal work, construction | Yes: sugar mills | NR | Yes: construction | NR | Yes: mining, construction, port work | NA | Yes: construction, service jobs | NR |
| Pesticides/ agrochemicals | NR | Yes | Yes (NS) | No | No | NA | No | NR | No |
| Heavy exertion | NR | NR | No | NR | NR | NR | Yes | NR | NR |
| High water intake | NR | Yes | No | NR | NR | No | No | NR | NR |
| Major limitations | Cross-sectional; analyses limited to current occupation | Volunteer study with likely selection bias; omission of sugarcane in the analyses | Cross-sectional; in case-control component, controls were not randomly selected from study population; no stratification by sex, obscuring work-related associations | Cross-sectional; analyses limited to current occupation | Cross-sectional; only confirms low risk in a low-risk community | Cross-sectional; no recruitment data; no multivariate analyses presented | High loss to follow-up | Cross-sectional | Cross-sectional; no stratification by sex, obscuring work-related associations; omission of sugarcane in analyses |
Note: In the prospective cohort in the McClean et al study, the largest decrease in eGFR during harvest was among cane cutters and seed cutters. Conversion factor for SCr in mg/dL to μmol/L, ×88.4.
Abbreviations: CKD, chronic kidney disease; decr, decreased; eGFR, estimated glomerular filtration rate; IL-18, interleukin 18, incr, increased; masl, meters above sea level; MDRD, Modification of Diet in Renal Disease Study equation; NA, not applicable; NGAL, neutrophil gelatinase-associated lipocalin; NR, not reported; NS, not statistically significant. NSAIDs, nonsteroidal anti-inflammatory drugs; SCr, serum creatinine.
Yes = positive association observed; no = no association observed.
Potential Causes of Mesoamerican Nephropathy
| Hypotheses | Pros | Cons | Comments | Conclusion | Priority for Research |
|---|---|---|---|---|---|
| Heat stress, dehydration, and volume depletion | Heat exposure affects kidney function through volume depletion; exertion can produce rhabdomyolysis with consequent AKI | CKD has not been reported among sugarcane workers in other hot areas, such as in Brazil, Africa, and others | Subclinical injuries from repeated episodes of heat stress and dehydration may develop into CKD; ongoing experimental research in mice supports the hypothesis | Heat stress and dehydration are likely causes of MeN, in combination with other unknown factors | High priority |
| Hypokalemia and hyperuricemia | Prolonged hypokalemia can cause tubulointerstitial fibrosis | Hypokalemia and hyperuricemia are not universally present in individuals presenting with MeN; hyperuricemia-associated kidney disease usually is associated with significant microvascular disease, which appears to be minimal in MeN | Both hyperuricemia and hypokalemia likely are a consequence of volume depletion and activation of the renin-angiotensin system | Hypokalemia and hyperuricemia are probably cofactors rather than primary causes | Low priority |
| Fructose/fructokinase | Recurrent dehydration in mice can induce CKD by the stimulation of aldose reductase with the production of fructose that causes tubular injury via fructokinase | Animal studies do not always carry over to humans | Epidemiologic studies investigating the role of hydration with sugary solutions need to be performed | Activation of the fructokinase pathway may represent a potential mechanism for dehydration-associated CKD | High priority |
| Arsenic | Arsenic (inorganic) can cause AKI; low/moderate urinary levels of arsenic have been linked with albuminuria | Arsenic is not a recognized cause of CKD; arsenic in drinking water has been documented in regions of Central America, but widespread high levels have not been demonstrated in the MeN-affected areas in Nicaragua or El Salvador | Occupational exposure through contaminated pesticide formulations (as observed in Sri Lanka | Arsenic is possibly a cofactor | Medium priority |
| Other heavy metals | In El Salvador cadmium has been detected in water sources in Nefrolempa | High cadmium, mercury, or lead levels are not reported in areas affected by MeN | Occupational exposure through cadmium-contaminated pesticide formulations (as observed in Sri Lanka | Lead, cadmium, mercury, and uranium are unlikely causes of MeN | Low priority |
| Pesticides | CKD is more frequent in agricultural populations, who likely are exposed to pesticides; some widely used pesticides can cause AKI: paraquat, 2,4-D, glyphosate, and cypermethrin | No pesticide has been identified as a cause of CKD in the literature we have examined; pesticides is a large heterogeneous group of agents with different toxicities; pesticide use differs greatly between regions and countries; it seems unlikely that thousands of CKD victims spread over multiple countries would be exposed to the same nephrotoxic pesticide | Pesticide contamination of water sources is a community concern; obsolete nephrotoxic insecticide toxaphene may still be present in soil in sugarcane areas where cotton or rice was produced, but this has not been evaluated; occupational exposure through contaminated pesticide formulations (as observed in Sri Lanka | An etiologic role of pesticides in MeN is not likely but cannot be completely ruled out | Medium priority |
| Nephrotoxic medications | Use of NSAIDs is widespread | NSAIDs are rarely associated with CKD and AKI should be seen more frequently if NSAIDs were an important cause; aminoglycosides need prolonged treatment in order to cause CKD | NSAIDs and aminoglycosides may worsen kidney injury from other causes | The use of nephrotoxic medications is a possible cofactor in the MeN epidemic | High priority |
| Infectious diseases: leptospirosis | Leptospirosis can cause AKI in humans and CKD in other mammals | Key question: Could mild or subclinical leptospirosis lead to multiple episodes of acute interstitial nephritis, resulting in progressive kidney fibrosis and ultimately CKD? | Leptospirosis is possibly a cofactor | Medium priority | |
| Urinary tract diseases | Heat stress could contribute to the development of kidney stones, which can damage the kidney and lead to CKD | Urine cultures among 50 male sugarcane workers with current symptoms of ‘chistate’ (dysuria) or white blood cells in their urine were uniformly negative | ‘Chistata’ (or chistate) is dysuria and, in Central America, it is often wrongly diagnosed as UTI; kidney stones and dysuria may have their origin in dehydration and heat stress; dysuria may be a symptom for microcrystals in hypersaturated urine | UTIs are not a cause of MeN; kidney stones could be associated with MeN in the context of heat stress and dehydration | Low priority for UTIs and medium priority for kidney stones |
| Aristolochic acid | Various | The histopathology in MeN differs from aristolochic nephropathy | Urothelial cancer has a long latency, could appear later or not at all if affected men die young; an increase may go undetected in countries without a cancer registry | Low priority | |
| Genetic susceptibility | High local rates of a relatively uncommon disease need a powerful risk factor; family clustering has been reported | — | No studies have been carried out; the main benefit of determining a genetic component from the etiologic perspective is if it helps elucidate the other cause(s) of MeN; virtually all diseases have some genetic component, but unless the genetic component is strong, it is unlikely to be useful | — | Medium priority |
| Low birth weight, prenatal, and childhood exposures | High prevalence of CKD at young age suggests initial damage may start during childhood; markers of tubular kidney damage, especially NAG, were highest among students aged 12-18 y in areas with highest occurrence of CKD | Levels of biomarkers were higher among women than men | A factor, so far unidentified, may act at early age and posterior occupational exposure among men may trigger the disease | Early child factors may possibly influence disease occurrence, yet seems not a very likely cause | Medium priority |
| Hard water | In Sri Lanka, hard water and CKD occurrence coincide; it has been hypothesized that hardness of water affects heavy metal toxicity at the cellular level | No known health effects from hard water | In the MeN-affected area of Guanacaste in Costa Rica, hard water is a serious community concern (Jennifer Crowe, personal communication) | Hard water is an unlikely cause | Low priority |
| (Illegal) alcohol use | One study found an association between CKD and intake of illegal alcohol in Nicaragua | Strong associations between alcohol and MeN have not been observed in other studies in the Mesoamerican region | — | Illegal alcohol is not a likely cause | Low priority |
| Silica dust | Silica has been associated with CKD | Most cases of CKD associated with exposure to silica have been reported to condition glomerulonephritis and clinically have significant hypertension and proteinuria | Silica content in soils in MeN areas is unknown | Silica is a potential risk of unknown magnitude | Low priority |
| Social determinants | Extreme poverty forces young people to leave school early and begin working in sugarcane | Social factors are prone to generalizations and oversimplification; social determinants do not explain the pathophysiology of the disease | Working conditions underlying physiopathology of MeN can be changed as preventative action | Poverty is a known determinant of CKD, although a distal cause; working conditions contribute to heat stress and dehydration | High priority |
Abbreviations: AKI, acute kidney injury; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; MeN, Mesoamerican nephropathy; NSAIDs, non-steroidal antiinflammatory drugs; UTI, urinary tract infection; WHO, World Health Organization.
Figure 2Possible causes for Mesoamerican nephropathy. Abbreviations: CKD, chronic kidney disease; NSAIDs, nonsteroidal anti-inflammatory drugs.