| Literature DB >> 29596427 |
James Weger-Lucarelli1, Heidi Auerswald2, Marco Vignuzzi1, Phillipe Dussart2, Erik A Karlsson2.
Abstract
Nutrition is a key factor in host-pathogen defense. Malnutrition can increase both host susceptibility and severity of infection through a number of pathways, and infection itself can promote nutritional deterioration and further susceptibility. Nutritional status can also strongly influence response to vaccination or therapeutic pharmaceuticals. Arthropod-borne viruses (arboviruses) have a long history of infecting humans, resulting in regular pandemics as well as an increasing frequency of autochthonous transmission. Interestingly, aside from host-related factors, nutrition could also play a role in the competence of vectors required for transmission of these viruses. Nutritional status of the host and vector could even influence viral evolution itself. Therefore, it is vital to understand the role of nutrition in the arbovirus lifecycle. This Review will focus on nutritional factors that could influence susceptibility and severity of infection in the host, response to prophylactic and therapeutic strategies, vector competence, and viral evolution.Entities:
Mesh:
Year: 2018 PMID: 29596427 PMCID: PMC5875747 DOI: 10.1371/journal.pntd.0006247
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Vectors, hosts, symptomology and estimated numbers of cases and deaths of selected arboviruses.
| Virus | Family | Genus | Main vectors | Reservoir host | Characteristic symptoms | Cases/year (estimated) | Symptomatic or severe cases/year | Deaths/year | References |
|---|---|---|---|---|---|---|---|---|---|
| CHIKV | Togaviridae | Primates | Fever, arthralgia, rash | Outbreak estimates only | Unknown | Unknown | [ | ||
| DENV | Flaviviridae | In enzootic cycle: arboreal | Primates | Fever, hemorrhage | 390 million | 96 million | 12,500 to | [ | |
| ZIKV | Flaviviridae | Primates | Fever, rash | Outbreak estimates only | Unknown | Unknown | [ | ||
| YFV | Flaviviridae | Primates | Hemorrhage, hepatitis | 200,000 | 84,000 to | 29,000 to | [ | ||
| JEV | Flaviviridae | Birds | Fever, encephalitis | 68,000 | 68,000 clinical cases | 13,600 to 20,400 | [ | ||
| WNV | Flaviviridae | Birds | Fever, encephalitis | Outbreak estimates only | 30,000 to 50,000 | 10,000 to 15,000 | [ |
Abbreviations: DENV, dengue virus; CHIKV, chikungunya virus; JEV, Japanese encephalitis virus; WNV, West Nile virus; YFV, yellow fever virus; ZIKV, Zika virus.
Fig 1Influence of nutrition on the arbovirus vector–host cycle.
Growth and development of mosquitoes as well as several pathways (epizootic, enzootic, and urban epidemic) could be impacted by the nutrition of both the host and the vector species. Red stars indicate areas where nutrition could have the most impact on susceptibility, severity of infection, and even vector competence.
Fig 2Correlation of malnutrition with reported distributions of arboviruses.
Prevalence (by percent) of children under the age of 5 that are (A) underweight for their age, (B) wasted, or (C) stunted are shown in blue. Data are the most recent statistics for each country indicated available from the United Nations Children’s Fund (available at http://data.unicef.org) and were mapped using QGIS 2.18.12. Overlay colors indicate reported distributions of DENV (light red shading), YFV (pink border), CHIKV (orange border), ZIKV (yellow border), JEV (green border), and RVFV (purple border). Distributions are adapted from Weaver et al. 2017 [214]. CHIKV, chikungunya virus; DENV, dengue virus; JEV, Japanese encephalitis virus; RVFV, Rift Valley Fever virus; YFV, yellow fever virus; ZIKV, Zika virus.
Seroprevalence studies associating nutrition with infection susceptibility and arbovirus infection in humans.
| Virus | Country | Age | Study | Diagnostic | Parameters | References | |
|---|---|---|---|---|---|---|---|
| CHIKV | Madagascar | 12–50 | Cross-sectional | IFA | Weight >70kg | OR: 9.75, | [ |
| CHIKV | La Réunion (France) | n/a | Case-control | ELISA | BMI >25 kg/m2 | [ | |
| CHIKV | La Réunion (France) | Mean maternal age 28.6–29.1 | Outbreak investigation | Unspecified serology | BMI >30 kg/m2 | BMI = overweight, OR: 1.3. | [ |
| SINV | Sweden | 25–74 | Cross-sectional survey | EIA | BMI, waist circumference (cm) and diastolic blood pressure (mmHg) | BMI 26.8 versus 27.6, | [ |
| TOSV | Italy | 4–75+ | Cross-sectional | EIA | BMI >29.9 kg/m2 | BMI = 25–29.9, OR 1.94. BMI >29.9, OR 2.73 | [ |
| DENV | Thailand | Mean age 5.8–9.7 | Retrospective | ELISA and/or HI | Percent ideal body weight (IBW). Obesity defined as >110% IBW and malnutrition <75% IBW. | Malnourished: OR 0.48, | [ |
Abbreviations: CHIKV, chikungunya virus; EIA, enzyme immunoassay; ELISA, enzyme-linked immunosorbent assay; HI, hemagglutination inhibition assay; IFA, immunoflouresence assay; n/a, not available; RT-PCR, real-time reverse transcriptase polymerase chain reaction; SINV, Sindbis virus; TOSV, Toscana virus.
Relationships between arboviral disease severity and nutritional factors in humans.
| Virus | Age | Study | Diagnostic | Country | Parameters of Malnutrition | Conclusions | References | |
|---|---|---|---|---|---|---|---|---|
| CHIKV | 10–60+ | Cohort | Confirmation by National Institute of Infectious Disease criteria | India | BMI <18.5 kg/m2 as underweight, 18.5–24.9 as normal, 25.0–29.9 as overweight, and ≥ 30 as obese | Overweight, OR: 1.3. Obese, OR: 2.07 | High BMI is associated with CHIKV sequelae | [ |
| CHIKV | 20+ | Case-control | Commercial rapid diagnostic testing | Haiti | Diabetes mellitus | Severe arthralgia, | Diabetes associated with increased rate of myalgia, greater severity of arthralgia, and longer duration of fever compared to non-diabetic controls | [ |
| CHIKV | 16+ | Case-control | Fever and/or polyarthralgia | La Réunion | Diabetes and ischemic heart disease | Diabetes, OR: 2.8. Ischemic heart disease, OR: 5.57 | Patients hospitalized with CHIKV had higher rates of diabetes and ischemic heart disease compared to non-hospitalized controls | [ |
| WNV | 5–90 | Outbreak surveillance | RT-PCR | USA | Diabetes mellitus | Encephalitis with muscle weakness, OR: 1.3. Death, OR: 5.1 | Severe WNV disease associated with diabetes mellitus | [ |
| WNV | 0.4–95 | Nested case-control | ELISA | USA | Diabetes mellitus | Symptomatic WNV infection, OR: 2.0. Death, OR: 3.5 | Severe WNV disease associated with diabetes mellitus | [ |
| DENV | 2–15.9 | Case-control | HI | Cuba | Defined as % P − E = A / B x 100. Where A = weight kg/height cm and B = 50th percentile of weight for age/ 50th percentile of height | Did not find an association between nutritional status and dengue complications | [ | |
| DENV | 0.3–15 | Case-control | HI | Thailand | Nutritional status was determined using height, weight and mid-left arm circumference | No patients with 3rd degree malnutrition had severe dengue (no | Patients with severe malnutrition have reduced rates of severe dengue disease | [ |
| DENV | 0.5–1.5 | Nested case-control | RT-PCR | Philippines | weight-for-age z-score as defined by WHO. | DHF versus other symptomatic dengue, | A WHO weight-for-age z score <−2 (i.e., undernutrition) during infancy was associated with low risk for DHF | [ |
| DENV | <1 | Cohort | ELISA | Vietnam | weight-for-age (WA), height-for-age (HA), weight-for-height (WH) z-score as defined by WHO | Developing DHF with undernutrition by WA or HA, | Infants with malnutrition as defined by WA or HA had reduced risk for developing DHF/DSS. Infants with malnutrition defined by WH had increased risk for DHF | [ |
| DENV | Mean age 5.8–9.7 | Retrospective | ELISA and/or HI | Thailand | Percent ideal body weight (IBW). Obesity defined as >110% IBW and malnutrition <75% IBW | Malnourished versus control, risk of DSS, | In patients with DHF, under or overnutrition was associated with severe disease or unusual clinical presentations. Undernutrition was associated with decreased risk of dengue infection | [ |
| DENV | 0.8–16 | Retrospective | Clinical diagnostic criteria defined by the WHO | Thailand | Body weight as a percentile of the normal range for the age | Not reported | The occurrence of severe DHF is more prominent in patients with body weight greater than 50th percentile for age | [ |
| DENV | 0–14 | Case-control | Clinical diagnostic criteria defined by the WHO | Thailand | Weight-for-height | Obesity versus Control, risk of DHF, | Obesity is associated with development of DHF | [ |
| DENV | 5–12 | Case-control | Clinical diagnostic criteria defined by the WHO | El Salvador | weight-for-age (WA), BMI-for-age z-score as defined by WHO | Malnourished versus control, risk of DHF, | No differences were observed related to nutritional status and development of dengue fever or hemorraghic fever as compared to controls | [ |
Abbreviations: CHIKV, chikungunya virus; DENV, dengue virus; DF, dengue fever; DHF, dengue hemorrhagic fever; ELISA, enzyme-linked immunosorbent assay; HA, height-for-age; HI, hemagglutination inhibition test; IBW, ideal body weight; PRNT, plaque reduction neutralization test; RT-PCR, real time polymerase chain reaction; WA, weight-for-age; WH, weight-for-height; WNV, West Nile virus
Studies observing the effect of nutrition on vector competence.
| Effect of smaller size | Putative cause of decreased size | Mosquito Species | Virus | Findings in smaller females | References |
|---|---|---|---|---|---|
| Increased vector competence | Decreased food quantity during larval development | LACV | Increased oral transmission rates and higher dissemination rates | [ | |
| Decreased food quantity during larval development | DENV | Increased susceptibility | [ | ||
| Decreased food quantity during larval development | RRV | Larger blood meals (including higher amount of virus uptake) relative to body size | [ | ||
| Lower quality food | JEV | Increased dissemination rates | [ | ||
| Decreased food quantity during larval development and increased larvae density | WNV | Higher infection rates | [ | ||
| Decreased food quantity (and other factors) during larval development | LACV | Increased dissemination and transmission | [ | ||
| No effect on vector competence | Decreased food quantity | RRV | No difference | [ | |
| Decreased food quantity | WNV | No difference | [ | ||
| Decreased food quantity | Murray Valley encephalitis virus | No difference | [ | ||
| Altered salt content in natural habitat | WEEV, SLEV | No difference | [ | ||
| Reduced vector competence | Decreased food quantity and increased density during larval development | DENV | Lower infection rates | [ | |
| Decreased food quantity during larval development | RRV | Lower infection rates | [ |
Abbreviations: DENV, dengue virus; LACV, La Crosse virus; JEV, Japanese encephalitis virus; RRV, Ross River virus; SLEV, St. Louis encephalitis virus; WEEV, Western equine encephalitis virus; WNV, West Nile virus.