Abstract
Infection with intestinal helminths results in immunological changes that influence the odds of comorbid infections, and might also affect fecundity by inducing immunological states supportive of conception and pregnancy. Here we investigate associations between intestinal helminths and fertility in human females, utilizing nine years of longitudinal data from 986 Bolivian forger-horticulturalists, experiencing natural fertility and a 70% helminth prevalence. We find that different species of helminth are associated with opposing effects on fecundity. Infection with roundworm (Ascaris lumbricoides) is associated with earlier first births and shortened interbirth intervals, while infection with hookworm is associated with delayed first pregnancy and extended interbirth intervals. Thus, helminths may have important, and sometimes contradictory effects on human fertility, reflecting the physiological and immunological consequences of infection with particular species.
Dysregulated immune function, and in particular autoimmune disease, has negative impacts on virtually every aspect of fecundity, including ovarian function, implantation, and pregnancy loss (1, 2). Conversely, healthy pregnancy is also associated with shifts in immunity. During the luteal phase of the menstrual cycle regulatory (Treg) and type 2 (Th2) T-cell responses increase (3). If conception occurs, these shifts continue through pregnancy (4) and help to suppress type 1 (Th1) T cell responses, increasing maternal tolerance of an immunologically distinct fetus (3). Since pregnancy is both affected by and alters immunity, parasites that result in systemic immunological changes might affect fecundity by altering the host’s immune system. Helminths, such as hookworm (Ancylostoma duodenale or Necator americanus) and giant roundworm (Ascaris lumbricoides) infect upwards of 500–800 million people a piece (5), and are associated with such immunological changes: host helper T cell populations generally shift away from Th1 and towards Th2 responses (6, 7), and the suppressive activity of regulatory T cells increases, modulating both Th1 and Th2 responses (8, 9). These shifts can increase or decrease susceptibility to other pathogens, such as malaria (10), giardia (11), and tuberculosis (12), and are associated with reductions in many diseases with inflammatory or auto-immune etiology (13). They also resemble the shifts that occur during pregnancy, suggesting that helminth infections might result in immunological states that favor conception or pregnancy.
In humans, parasites that directly affect either the reproductive organs or the fetus have been investigated, including Wuchereria bancrofti which can cause elephantiasis of the genitals (14). Animal studies have also examined life history changes associated with parasitism (15). Yet, there is little data on the effects of intestinal helminth infections on human fecundity, fertility, or birth spacing. Here we examine prospectively the effect of helminth infection on the fecundity of human females. We use nine years of longitudinal data collected on 986 Tsimane forager-horticulturalist women living in the Amazonian lowlands of Bolivia (Table S1). Tsimane are predominantly a natural fertility population, with infrequent (<5% prevalence) use of pharmaceutical contraceptives, and a total fertility rate of nine births per woman (16). Helminths infect 70% of the population; the two most common infections being hookworm, infecting 56%, and A. lumbricoides, infecting 15–20% (11, 17). Tsimane therefore represent an ideal population for examining the effects of helminth infection on human reproduction.
In both animal and human studies there are examples of parasitism affecting host reproduction, including effects on sexual behavior, brood or litter size, offspring size, incubation periods, conception rates, and pregnancy loss (18–22). In most cases, parasitism reduces host reproduction by compromising reproductive organs or reducing energy budgets (14, 23). However, among Tsimane adults, morbidity from intestinal helminth infections is low, particularly for A. lumbricoides: controlling for age and coinfection, in our sample, hookworm infection is associated with slightly lower BMI (β = − 0.77 kg/m2, p < 0.001) and hemoglobin (β = −0.19 g/dL, p = 0.005), while A. lumbricoides is not (β = −0.34 kg/m2, p =0.180; β = −0.07 g/dL, p =0.413). However, helminth infection is also associated with reductions in other infections, such as G. lamblia (11). We hypothesized that unlike many other infections, intestinal helminths might result in increased fecundity, given associated immunological changes that resemble those occurring during pregnancy, modulation of inflammatory responses that might impair fertility, and apparently low costs of infection.
Using Cox-proportional hazards models, we tested whether helminth infection was associated with changes in birth spacing for 561 multiparous women, and the age of first pregnancy (AFP) for 425 nulliparous women (24). Consistent with our hypothesis, A. lumbricoides infection was associated with an earlier AFP (HR = 3.06, CI 1.91–4.91, p < 0.001; Figure 1, Table 1) and with increased hazard of pregnancy under age 32 (at age 20: HR = 1.64, CI 1.16–2.33, p = 0.005). This association declines with age (interaction between A. lumbricoides and age: HR = 0.68 per decade, CI 0.51–0.89, p = 0.006) and becomes significantly negative by age forty-six (HR = 0.62, CI 0.38–1.00, p = 0.05). However, these late life negative associations are outweighed by early life positive associations, such that A. lumbricoides infection projected across the lifespan would result in two more children than for a woman never infected (Figure 2).
Figure 1.
Associations between infection and likelihood of becoming pregnant. (A–C) Kaplan-Meier curves from cox-proportional hazard models (Table 2), representing the time to first pregnancy (A), and time to subsequent pregnancies at age 25 (B) and age 40 (C). Hazard ratios for conception associated with infection across ages are shown in (D). Colors indicate uninfected (dashed brown), infected with hookworm (solid dark green), or infected with A. lumbricoides (solid mustard).
Table 1.
Cox-proportional hazard models
Age of First Pregnancy (n = 425, obs = 639, preg = 87) |
Time to Next Pregnancy (n = 561, obs = 1623, preg = 405) |
|||||
---|---|---|---|---|---|---|
|
|
|||||
Variable | Exp(β) | 95% CI | p | Exp(β) | 95% CI | p |
Age (decades)* | -- | -- | -- | 1.00 | (0.80–1.25) | 0.992 |
Age4 (decades)* | -- | -- | -- | 0.95 | (0.93–0.96) | <0.001 |
Hookworm | 0.34 | (0.20–0.58) | <0.001 | 0.74 | (0.60–0.91) | 0.004 |
A. lumbricoides† | 3.06 | (1.91–4.91) | <0.001 | 1.64 | (1.16–2.33) | 0.005 |
A. lumbricoides × Age* | -- | -- | -- | 0.68 | (0.51–0.89) | 0.006 |
Treatment with antihelminthic | 0.43 | (0.19–0.97) | 0.042 | 0.75 | (0.58–0.97) | 0.027 |
Education (Years) | -- | -- | -- | 0.92 | (0.86–0.99) | 0.017 |
Speaks Spanish | -- | -- | -- | 0.74 | (0.57–0.95) | 0.018 |
Distance to town (10km) | -- | -- | -- | 0.96 | (0.91–1.00) | 0.075 |
Season (P-spline) | -- | -- | <0.001 | -- | -- | <0.001 |
Models also include GEE cluster terms for individual and village. See tables S2–S3 for additional excluded variables.
Age is centered at 20 years. Age was continuous to the nearest tenth of a year, but is shown in decades to make the parameters more easily interpretable.
For the time to next pregnancy model the roundworm parameter represents the hazard ratio at age 20.
Figure 2.
Reproductive careers predicted from Cox proportional hazard models, showing the expected distributions of reproductive values for hypothetical women with constant parasite status throughout life. Outcomes include: age at first birth (A), interbirth intervals (B), age at last birth (C), age specific fertility (births/woman/year) (D), median cumulative fertility over time (E), and total completed fertility at age 50 (F). Colors indicate uninfected (U; brown), infected with hookworm (H; dark green), infected with A. lumbricoides (A; mustard), or coinfected with hookworm and A. lumbricoides (C; light blue). Boxplot whiskers display the 5th and 95th percentiles, bodies the 25th, 50th, and 75th. Predictions are derived from the models in Figure 1.
In contrast, infection with hookworm was associated with a delayed age of first pregnancy (HR = 0.33, CI 0.20 – 0.54, p < 0.001), and with a reduced hazard of subsequent pregnancies at all ages (HR = 0.71, CI 0.58–0.86, p < 0.001). A woman chronically infected with hookworm would be predicted to have three fewer children than an uninfected woman (Figure 2). We found no interaction between infections, such that coinfection is associated with the additive effects of hookworm and A. lumbricoides.
These results are not altered by controlling for other likely confounds affecting fecundity or fecundity altering behaviors, including physical condition, education (a proxy of acculturation), village location, season, and secular changes, even though these variables do affect fertility (Table S2–S3, also see (25)). The results are also not mediated by other comorbid infections or illnesses (Table S4). Twenty percent of infected women were given antihelminthic medications during medical visits. Receipt of antihelminthics was itself associated with a lower hazard of conceiving (HR = 0.75, CI 0.58–0.97, p = 0.03); however, neither controlling for treatment in models, nor excluding these women appreciably altered hazard ratios from infection with either hookworm or A. lumbricoides. The results are also not driven by changing infection hazard during pregnancy: pregnancy is associated with an increased likelihood of hookworm infection, particularly in late pregnancy (Table S6; Figure S8), but this relationship does not mediate the association between infection and conception hazards (24). Instead it appears that hookworm infected women occasionally clear their infections, during which time they become pregnant, followed quickly by subsequent reinfected with hookworm. Finally, these associations are unlikely to be due to consistent differences between individual women (e.g. genetic pleiotropies), that affect both fertility and risk of infection, as past parity is unrelated to likelihood of current infection (hookworm: OR = 0.98 per birth, CI 0.90–1.08, p = 0.65; A. lumbricoides: OR 1.05 per birth, CI 0.93–1.18, p = 0.46).
The finding that hookworm and A. lumbricoides have different associations with fecundity may seem surprising. However, we suggest two reasons why we might observe such a pattern. First, although helminths are often discussed as if interchangeable, hookworm and A. lumbricoides do not have identical effects on the immune system. While A. lumbricoides is associated with a polarized Th2 response (6), the response to hookworm has been reported as a mixed Th1/Th2 response (26, 27). Hookworm and A. lumbricoides also have contradictory effects on other diseases, such as malaria (10). Thus the A. lumbricoides response may be more favorable to conception and implantation, as it more closely resembles the immunological state in pregnancy, and less closely resembles pro-inflammatory states that suppress fecundity. Second, hookworm infection may be more costly than A. lumbricoides, such that the costs imposed by infection, such as anemia and nutritional loss, outweigh any effect of immune modulation. While we do not have direct measures of parasite load, hookworm is associated with both lower BMI and lower hemoglobin for women in our sample, while A. lumbricoides is not. Future studies will need to investigate the importance of parasite burden in these associations.
Although consistent with our hypothesis, it is still surprising to see positive associations between fecundity and A. lumbricoides infection, given that most parasites decrease reproduction. However, this association might instead be understood not as de novo increases in fecundity, but as the suppression of responses that would otherwise decrease fecundity. For example, most organisms down-regulate reproductive effort during acute illness as inflammation leads to the suppression of reproductive function (28). If A. lumbricoides infection modulated inflammatory responses, then this might also limit inflammation-induced reproductive suppression, as well as sickness behavior and associated reductions in sexual activity (29, 30). If this were true, then the effects of A. lumbricoides might only be observed in the presence of other illnesses or conditions resulting in excess inflammation. An additional possibility is that the increase in fertility represents fecundity compensation, a host response in which reproductive effort is shifted towards earlier ages to compensate for increasing morbidity or mortality (15). However, our analysis cannot fully evaluate these kinds of lifetime or cumulative effects as even our longitudinal sample remains relatively short relative to the lifespan of a human.
Regardless of mechanism, these results suggests that across populations, helminths may have unappreciated effects on demographic patterns, particularly given their high global prevalences (5). If our findings generalize, then it is worth considering the role of helminth infections may play in the demographics of these individuals.
Supplementary Material
Acknowledgments
We thank the Tsimane for their continued participation, our Bolivian project staff, including Daniel Eid, Ivan Maldonado, Edhitt Cortez, Naomi Zabala, and many others, and four anonymous reviewers for their helpful comments. This work was supported by grants from the National Institutes of Health/National Institute on Aging [R01AG024119, R56AG024119, P01AG022500] and the National Science Foundation [BCS-0422690]. Data described in this paper are available as supplementary online materials.
Footnotes
Supplementary Materials:
References 31–44
References and Notes
- 1.Carp HJA, Selmi C, Shoenfeld Y. The autoimmune bases of infertility and pregnancy loss. J. Autoimmun. 2012;38:J266–J274. doi: 10.1016/j.jaut.2011.11.016. [DOI] [PubMed] [Google Scholar]
- 2.Sen A, Kushnir VA, Barad DH, Gleicher N. Endocrine autoimmune diseases and female infertility. Nat. Rev. Endocrinol. 2014;10:37–50. doi: 10.1038/nrendo.2013.212. [DOI] [PubMed] [Google Scholar]
- 3.Jiang TT, et al. Regulatory T Cells: New Keys for Further Unlocking the Enigma of Fetal Tolerance and Pregnancy Complications. J. Immunol. 2014;192:4949–4956. doi: 10.4049/jimmunol.1400498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Veenstra van Nieuwenhoven AL, Heineman MJ, Faas MM. The immunology of successful pregnancy. Hum. Reprod. Update. 2003;9:347–357. doi: 10.1093/humupd/dmg026. [DOI] [PubMed] [Google Scholar]
- 5.Hotez PJ, et al. Helminth infections: the great neglected tropical diseases. J. Clin. Invest. 2008;118:1311–1321. doi: 10.1172/JCI34261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Geiger SM, et al. Cellular responses and cytokine profiles in Ascaris lumbricoides and Trichuris trichiura infected patients. Parasite Immunol. 2002;24:499–509. doi: 10.1046/j.1365-3024.2002.00600.x. [DOI] [PubMed] [Google Scholar]
- 7.Maizels RM, Yazdanbakhsh M. Immune regulation by helminth parasites: cellular and molecular mechanisms. Nat. Rev. Immunol. 2003;3:733–44. doi: 10.1038/nri1183. [DOI] [PubMed] [Google Scholar]
- 8.Wammes LJ, et al. Regulatory T cells in human geohelminth infection suppress immune responses to BCG and Plasmodium falciparum. Eur. J. Immunol. 2010;40:437–42. doi: 10.1002/eji.200939699. [DOI] [PubMed] [Google Scholar]
- 9.van Riet E, Hartgers FC, Yazdanbakhsh M. Chronic helminth infections induce immunomodulation: Consequences and mechanisms. Immunobiology. 2007;212:475–490. doi: 10.1016/j.imbio.2007.03.009. [DOI] [PubMed] [Google Scholar]
- 10.Fernández-Niño JA, et al. Paradoxical associations between soil-transmitted helminths and Plasmodium falciparum infection. Trans. R. Soc. Trop. Med. Hyg. 2012;106:701–708. doi: 10.1016/j.trstmh.2012.07.012. [DOI] [PubMed] [Google Scholar]
- 11.Blackwell AD, Martin M, Kaplan H, Gurven M. Antagonism between two intestinal parasites in humans: the importance of co-infection for infection risk and recovery dynamics. Proc. R. Soc. B. 2013;280:20131671. doi: 10.1098/rspb.2013.1671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ezenwa VO, Jolles AE. Opposite effects of anthelmintic treatment on microbial infection at individual versus population scales. Science (80-.) 2015;347:175–177. doi: 10.1126/science.1261714. [DOI] [PubMed] [Google Scholar]
- 13.Wammes LJ, Mpairwe H, Elliott AM, Yazdanbakhsh M. Helminth therapy or elimination: epidemiological, immunological, and clinical considerations. Lancet Infect. Dis. 2014;3099:1–13. doi: 10.1016/S1473-3099(14)70771-6. [DOI] [PubMed] [Google Scholar]
- 14.McFalls J, Joseph A, McFalls MH. Disease and Fertility. Academic Press, Inc; Orlando, FL: 1984. [Google Scholar]
- 15.Forbes M. Parasitism and host reproductive effort. Oikos. 1993;67:444–450. [Google Scholar]
- 16.McAllister L, Gurven M, Kaplan H, Stieglitz J. Why do women have more children than they want? Understanding differences in women’s ideal and actual family size in a natural fertility population. Am. J. Hum. Biol. 2012;24:786–99. doi: 10.1002/ajhb.22316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Martin M, Blackwell AD, Gurven M, Kaplan H. In: Primates, Pathogens, and Evolution. Brinkworth J, Pechenkina K, editors. Springer; New York: 2013. pp. 363–387. [Google Scholar]
- 18.Møller A. Ectoparasites increase the cost of reproduction in their hosts. J. Anim. Ecol. 1993;62:309–322. [Google Scholar]
- 19.Hurd H. Host fecundity reduction: a strategy for damage limitation? Trends Parasitol. 2001;17:363–8. doi: 10.1016/s1471-4922(01)01927-4. [DOI] [PubMed] [Google Scholar]
- 20.Neuhaus P. Parasite removal and its impact on litter size and body condition in Columbian ground squirrels (Spermophilus columbianus) Proc. Biol. Sci. 2003;270(Suppl):S213–5. doi: 10.1098/rsbl.2003.0073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Krishnan L, Guilbert LJ, Wegmann TG, Belosevic M, Mosmann TR. T helper 1 response against Leishmania major in pregnant C57BL/6 mice increases implantation failure and fetal resorptions. Correlation with increased IFN-gamma and TNF and reduced IL-10 production by placental cells. J. Immunol. 1996;156:653–662. [PubMed] [Google Scholar]
- 22.Avitsur R, Yirmiya R. The immunobiology of sexual behavior: gender differences in the suppression of sexual activity during illness. Pharmacol. Biochem. Behav. 1999;64:787–96. doi: 10.1016/s0091-3057(99)00165-3. [DOI] [PubMed] [Google Scholar]
- 23.Baudoin M. Host castration as a parasitic strategy. Evolution (N. Y) 1975;29:335–352. doi: 10.1111/j.1558-5646.1975.tb00213.x. [DOI] [PubMed] [Google Scholar]
- 24.Materials and methods are available as supplementary materials on Science Online.
- 25.Kaplan H, Hooper PL, Gurven M. The Causal Relationship between Fertility and Infant Mortality: Prospective Analyses of a Population in Transition. In: Kreager Philip, Winne B, Ulijaszek S, Capelli C., editors. Population in the Human Sciences: Concepts, Models, Evidence. Oxford University Press; Oxford, UK: 2015. pp. 361–378. [Google Scholar]
- 26.Geiger SM, et al. Necator americanus and Helminth Co-Infections: Further Down-Modulation of Hookworm-Specific Type 1 Immune Responses. PLoS Negl. Trop. Dis. 2011;5:e1280. doi: 10.1371/journal.pntd.0001280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.McSorley HJ, Loukas A. The immunology of human hookworm infections. Parasite Immunol. 2010;32:549–59. doi: 10.1111/j.1365-3024.2010.01224.x. [DOI] [PubMed] [Google Scholar]
- 28.Clancy KBH, et al. Relationships between biomarkers of inflammation, ovarian steroids, and age at menarche in a rural polish sample. Am. J. Hum. Biol. 2013;25:389–98. doi: 10.1002/ajhb.22386. [DOI] [PubMed] [Google Scholar]
- 29.Stieglitz J, et al. Depression as sickness behavior? A test of the host defense hypothesis in a high pathogen population. Brain. Behav. Immun. 2015 doi: 10.1016/j.bbi.2015.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Shattuck EC, Muehlenbein MP. Human Sickness Behavior : Ultimate and Proximate Explanations. Am. J. Phys. Anthropol. 2015;157:1–18. doi: 10.1002/ajpa.22698. [DOI] [PubMed] [Google Scholar]
- 31.Gurven M, von Rueden C, Stieglitz J, Kaplan H, Rodriguez DE. The evolutionary fitness of personality traits in a small-scale subsistence society. Evol. Hum. Behav. 2014;35:17–25. doi: 10.1016/j.evolhumbehav.2013.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Gurven M, Kaplan H, Supa AZ. Mortality experience of Tsimane Amerindians of Bolivia: regional variation and temporal trends. Am. J. Hum. Biol. 2007;19:376–98. doi: 10.1002/ajhb.20600. [DOI] [PubMed] [Google Scholar]
- 33.Veile A, Martin M, McAllister L, Gurven M. Modernization is associated with intensive breastfeeding patterns in the Bolivian Amazon. Soc. Sci. Med. 2014;100:148–158. doi: 10.1016/j.socscimed.2013.10.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Gurven M, et al. Inflammation and infection do not promote arterial aging and cardiovascular disease risk factors among lean horticulturalists. PLoS One. 2009;4:e6590. doi: 10.1371/journal.pone.0006590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Blackwell AD, et al. Evidence for a Peak Shift in a Humoral Response to Helminths: Age Profiles of IgE in the Shuar of Ecuador, the Tsimane of Bolivia, and the U.S. NHANES. PLoS Negl. Trop. Dis. 2011;5:e1218. doi: 10.1371/journal.pntd.0001218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vasunilashorn S, et al. Blood lipids, infection, and inflammatory markers in the Tsimane of Bolivia. Am. J. Hum. Biol. 2010;22:731–40. doi: 10.1002/ajhb.21074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Eberl M, et al. A novel and sensitive method to monitor helminth infections by faecal sampling. Acta Trop. 2002;83:183–187. doi: 10.1016/s0001-706x(02)00089-x. [DOI] [PubMed] [Google Scholar]
- 38.Andersen P, Gill R. Cox’s regression model for counting processes: a large sample study. Ann. Stat. 1982;10:1100–1120. [Google Scholar]
- 39.Van Buuren S, Groothuis-Oudshoorn K. Multivariate Imputation by Chained Equations. J. Stat. Softw. 2011;45:1–67. [Google Scholar]
- 40.Urlacher SS, et al. Physical Growth of the Shuar: Height, Weight, and BMI References for an Indigenous Amazonian Population. Am. J. Hum. Biol. 2015 doi: 10.1002/ajhb.22747. Early View. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Stieglitz J, et al. Modernization, Sexual Risk-Taking, and Gynecological Morbidity among Bolivian Forager-Horticulturalists. PLoS One. 2012;7:e50384. doi: 10.1371/journal.pone.0050384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Knowles SCL, Nakagawa S, Sheldon BC. Elevated reproductive effort increases blood parasitaemia and decreases immune function in birds: a meta-regression approach. Funct. Ecol. 2009;23:405–415. [Google Scholar]
- 43.Pelletier F, Page K, Ostiguy T, Festa-Bianchet M. Fecal counts of lungworm larvae and reproductive effort in bighorn sheep, Ovis canadensis. Oikos. 2005;110:473–480. [Google Scholar]
- 44.Jackson C. Multi-state models for panel data: the msm package for R. J. Stat. Softw. 2011;38 [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.