Graham. 10.1073/pnas.0707221105

Supporting Information

Files in this Data Supplement:

SI Results and Discussion
SI Figure 5
SI Table 1
SI Table 2




SI Figure 5

Fig. 5. Evidence for host-dependent effects of coinfection on cytokines that control helminths (e.g., IL-4) or kill microparasites (e.g., IFN-g). Here, polyclonal (as opposed to antigen-specific) cytokine data suggest that mutual inhibition between these two arms of the immune system during coinfection occurs more strongly in C57BL/6 mice. Overall, IL-4 effect size was predictive of IFN-g effect size (point estimate ± variance shown) for the 13 coinfection studies that measured both cytokines. This pattern may be explained by differences between host genotypes: compared with C57BL/6 mice (filled symbols), there were near-significant trends for BALB/c mice (open symbols) to alter both IL-4 (P = 0.077) and IFN-g (P = 0.055) production less dramatically when coinfected. However, neither host genotype nor polyclonal cytokines predicted microparasite-specific IFN-g.





Table 1. Experiments included only in the metaanalysis of microparasite density according to the bottom-up factor of RBC limitation

Helminth

Microparasite

Host

SI Ref.

RBC limitation?

Echinostoma caproni

Plasmodium yoelii

BALB/c

17

N

*

Echinostoma revolutum

Babesia microti

Albino

20

N

Echinostoma revolutum

Plasmodium yoelii

Albino

20

N

Fasciola hepatica

Babesia microti

Albino

16

Y

*

Heligmosomoides polygyrus

Babesia microti

B10G

25

Y

Heligmosomoides polygyrus

Babesia microti

NIH

26

Y

Heligmosomoides polygyrus

Influenza virus

Swiss albino

27

N

Heligmosomoides polygyrus

Influenza virus

Swiss albino

28

N

Heligmosomoides polygyrus

Trypanosoma congolense

TO

29

N

Heligmosomoides polygyrus

Trypanosoma musculi

C3H

30

N

Schistosoma mansoni

Babesia microti

Albino

14

Y

*

Schistosoma mansoni

Babesia microti

Albino

20

Y

Schistosoma mansoni

Leishmania major

C57BL/6

31

N

Schistosoma mansoni

Listeria monocytogenes

CF1

32

N

Schistosoma mansoni

Murine hepatitis virus

Swiss albino

33

N

Schistosoma mansoni

Murine leukaemia virus

C57BL/6

34

N

Schistosoma mansoni

Plasmodium berghei

Swiss albino

18

Y

Schistosoma mansoni

Plasmodium chabaudi

C57BL/6

35

Y

Schistosoma mansoni

Plasmodium chabaudi

CBA/ca

11

Y

Schistosoma mansoni

Plasmodium yoelii

Swiss TO

19

Y

*

Schistosoma mansoni

Plasmodium yoelii

CBA/ca

11

Y

Schistosoma mansoni

Plasmodium yoelii

Albino

20

Y

Schistosoma mansoni

Salmonella enteriditis

CF1

32

N

Schistosoma mansoni

Salmonella typhi

Albino

36

N

Schistosoma mansoni

Toxoplasma gondii

C57BL/6

37

N

Schistosoma mansoni

Trypanosoma cruzi

Albino

38

N

Taenia crassiceps

Babesia microti

CF1

39

N

Trichinella spiralis

Eimeria vermiformis

NIH

40

N

Trichinella spiralis

Giardia lamblia

C57BL/6

41

N

Trichinella spiralis

Giardia muris

Swiss albino

42

N

Trichinella spiralis

Japanese B encephalitis virus

Swiss albino

43

N

Trichinella spiralis

Leishmania infantum

BALB/c

44

N

Trichinella spiralis

Listeria monocytogenes

Swiss albino

45

N

Trichinella spiralis

Plasmodium berghei

CD1

15

Y

*

Trichinella spiralis

Toxoplasma gondii

NMRI

46

N

Trichinella spiralis

Trypanosoma musculi

C3H

30

N

Potential for RBC limitation was identified as described in Methods. Direct experimental evidence for or against potential RBC limitation was available from coinfection studies for six of the eight helminth genera included in this metaanalysis (see *). Where data on multiple pairwise parasite combinations were presented in one article, data on all combinations were included unless they represented multiple species within a genus that was otherwise absent from the dataset. In that case, the most commonly studied (and thus most comparable with other studies) was included. Data from multiple mouse strains were only included if the authors also presented cytokine data (see in both Table 1 and Table 2). Y, yes; N, no.

*Indicates that experimental evidence in direct support of the RBC limitation categorization is presented in that study. Categorizations for genera not covered by those citations were based upon published data on single-species infections, as described in Methods.

In C57BL/6 mice in this study, only parasitology data were available. A/J mice from the same study are included in the immunoparasitology analysis (Table 2)



Table 2. Experiments included in the bottom-up analysis as well as the top-down metaanalysis of microparasite density using immunological predictors (the cytokines IFN-γ and IL-4, both polyclonal and antigen-specific)

Helminth

Microparasite

Host

SI Ref.

RBC limitation?

Fasciola hepatica

Bordetella pertussis

BALB/c

47

N

Heligmosomoides polygyrus

Citrobacter rodentium

BALB/c

6

N

Heligmosomoides polygyrus

Helicobacter felis

C57BL/6

8

N

Heligmosomoides polygyrus

Plasmodium chabaudi

C57BL/6

10

Y

Litomosoides sigmodontis

Leishmania major

C57BL/6

48

N

Litomosoides sigmodontis

Plasmodium chabaudi

BALB/c

49

N

*

Nippostrongylus brasiliensis

Chlamydophila abortus

C57BL/6

50

N

Nippostrongylus brasiliensis

Mycobacterium bovis

C57BL/6

51

N

Nippostrongylus brasiliensis

Plasmodium chabaudi

BALB/c

Y

*

Nippostrongylus brasiliensis

Toxoplasma gondii

C57BL/6

52

N

Schistosoma mansoni

Leishmania donovani

C57BL/6

9

N

Schistosoma mansoni

Lymphocytic choriomeningitis virus

C57BL/6

7

N

Schistosoma mansoni

Mycobacterium bovis

BALB/c

53

N

Schistosoma mansoni

Plasmodium chabaudi

A/J

35

Y

Schistosoma mansoni

Plasmodium chabaudi

C57BL/6

54

Y

Schistosoma mansoni

Vaccinia virus

BALB/c

55

N

Taenia crassiceps

Trypanosoma cruzi

BALB/c

56

N

Trichinella spiralis

Influenza virus

NIH

57

N

These experiments were also included in the metaanalysis of the resource-based predictor (RBC limitation). Direct experimental evidence for or against potential RBC limitation was available from coinfection studies for six of the eight helminth genera included in this metaanalysis (see * in both Table 1 and Table 2). Y, yes; N, no.

*Indicates that experimental evidence in direct support of the RBC limitation categorization is presented in that study. Categorizations for genera not covered by those citations were based upon published data on single-species infections, as described in Methods.

Hoeve MA, Mylonas KJL, Grocock KJ, Mahajan SM, Allen JE, Graham AL, unpublished data.



SI Results and Discussion

Role of Factors Other Than RBC Limitation and Antigen-Specific IFN-g in Determining Microparasite Density.

Analyses of host sex, parasite taxa, infectious dose, and interval between infections revealed no significant effects. Mouse strain, whether based on outbred versus inbred or on comparisons among specific genetic backgrounds (see SI Tables 1 and 2), was not a significant predictor of microparasite density effect size, nor of the effect of IFN-g on microparasites. Host genotype may, however, be predictive of systemic cross-regulation between IFN-g and IL-4-mediated [i.e., microparasite-killing versus helminth-controlling (1)] immune responses, which is suggested to be a key mechanism of within-host interaction during coinfection (2-5). This analysis was only possible for the 12 studies that measured both cytokines and presented variance and for C57BL/6 versus BALB/c mice, the two host genotypes for which multiple studies were published. A negative relationship between polyclonal (nonspecific) IL-4 and IFN-g was apparent (SI Fig. 5; slope = −0.28; Q1,11 = 4.67; P = 0.031), and host strain appeared to explain the pattern: there were trends for C57BL/6 hosts to exhibit more substantial increases in IL-4 and decreases in IFN-g due to coinfection compared with BALB/c mice (Q1,11 = 3.13 and P = 0.077 for IL-4; Q1,11 = 3.68 and P = 0.055 for IFN-g). However, effect sizes for polyclonal IFN-g and IL-4 and for microparasite-specific IL-4 did not predict microparasite density, nor did mouse strain account for the pattern shown in Fig. 3. Because host genotype did not affect microparasite-specific IFN-g nor its relationship with microparasite density effect size, host-dependent cross-regulation by IL-4 does not account for helminth-induced changes in microparasite density. Indeed, this study has not identified the general helminth-induced mechanism that alters microparasite-specific IFN-g (because neither antigen-specific nor polyclonal IL-4 sufficed). There may be too many intermediate steps between helminth-induced immune responses and their bystander effects on microparasite antigens to be detected in such an analysis. Alternatively, other cytokines, such as IL-10, may more directly reduce IFN-g during coinfection (6-10); too few coinfection studies have measured IL-10 to permit metaanalysis now.

Relative Importance of RBC Limitation and Antigen-Specific IFN-g.

It would be ideal formally to assess the relative importance of RBC limitation and microparasite-specific IFN-g in predicting peak microparasite density during coinfection. Two-way analysis suggested that IFN-g was the more potent of the two predictor variables: e.g., RBC limitation was not predictive in the cytokine subset of data (F(1,12) = 0.20; P = 0.6643; R2 = 0.02), whereas the direction of the IFN-g effect was consistent and the relationship near-significant in both the RBC limited (F(1,2) = 6.68; P = 0.1227; R2 = 0.77) and nonlimited (F(1,8) = 4.30; P = 0.0717; R2 = 0.35) categories. However, all but four of the immunoparasitology studies used pairs of parasite species that did not pose RBC limitation (see SI Table 2), and the power of the test was weak. A larger sample size of studies, plus quantitative measures of RBC availability, would be necessary for a robust test of the relative importance of bottom-up versus top-down microparasite control.

RBC Limitation Versus Reticulocyte Limitation Among Apicomplexan Taxa.

Even if the pattern described in Fig. 2 is strongly influenced by Apicomplexan sensitivity to RBC density, the results suggest testable hypotheses about bottom-up control of microparasites during coinfection. One such hypothesis concerns subpopulations of RBCs preferred by different Apicomplexan taxa. If helminth species that cause anemia limit RBC availability for incoming Apicomplexa, then the effect ought to be strongest for species that are averse to infection of the very young RBCs, or reticulocytes (11), that the host produces in homeostatic response to anemia. Anemia by definition implies decreased RBC density but can actually lead to increased density of immature RBCs (reticulocytes) as the host releases new cells from the bone marrow (12). Apicomplexan species such as Plasmodium berghei or P. yoelii prefer reticulocytes, whereas species such as P. chabaudi or Babesia microti prefer mature RBCs (13). Such niche differences have been previously posited to explain increases in P. yoelii and decreases in P. chabaudi parasitemias during chronic S. mansoni coinfection (11). The studies compiled here suggest that this bottom-up control mechanism may operate more broadly to determine the extent of Apicomplexan replication during helminth coinfection. The kinetics of helminth-induced changes in RBC and reticulocyte densities may be complex (11, 14, 15), such that RBC or reticulocyte-dependent microparasites could be either constrained or enabled by coinfection, depending on when they are introduced. Taking such kinetics into account, effects consistent with (11) that are revealed here include Apicomplexans in combination with fascioliasis (16), trichinosis (15), and echinostomiasis (17), as well as patent (14, 18) and prepatent (19) schistosomiasis. Exceptions are perhaps explained if release of top-down control is cancelled by imposition of RBC limitation in studies of reticulocyte-averse P. chabaudi (20). The present dataset was too small to address the reticulocyte issue quantitatively, but this is a rich vein for future study.

Effects of Coinfection on Host Health.

In the present metaanalysis, the small pathology data set showed evidence of publication bias. This study was therefore unable to answer whether the pathology of coinfection in mice is additive [e.g., in terms of anemia (21)] or otherwise predictable. Intriguingly, however, the bidirectional effects of coinfection were confirmed: pathology was significantly reduced in five (36%), exacerbated in six (43%), and unchanged in three (21%) studies. If publishing bias can be overcome, and it needs to be, such analysis in future could help to identify factors that determine whether underlying helminth infection exacerbates or ameliorates microparasitic disease, an area of intense interest in tropical medicine at present (21-24).

1. Abbas AK, Murphy KM, Sher A (1996) Nature 383:787-793.

2. Cox FEG (2001) Parasitology 122:S23-S38.

3. Hartgers FC, Yazdanbakhsh M (2006) Parasite Immunol 28:497-506.

4. Kamal SM, El Sayed Khalifa K (2006) Parasite Immunol 28:483-496.

5. Page KR, Scott AL, Manabe YC (2006) Cell Microbiol 8:185-196.

6. Chen CC, Louie S, McCormick B, Walker WA, Shi HN (2005) Infect Immun 73:5468-5481.

7. Edwards MJ, Buchatska O, Ashton M, Montoya M, Bickle QD, Borrow P (2005) J Immunol 175:6275-6285.

8. Fox JG, Beck P, Dangler CA, Whary MT, Wang TC, Shi HN, Nagler-Anderson C (2000) Nat Med 6:536-542.

9. Hassan MF, Zhang Y, Engwerda CR, Kaye PM, Sharp H, Bickle QD (2006) Am J Pathol 169:943-953.

10. Su Z, Segura M, Morgan K, Loredo-Osti JC, Stevenson MM (2005) Infect Immun 73:3531-3539.

11. Lwin M, Last C, Targett GAT, Doenhoff MJ (1982) Ann Trop Med Parasitol 76:265-273.

12. Bannerman RM (1983) in The Mouse in Biomedical Research, Volume III: Normative Biology, Immunology, and Husbandry, eds Foster HL, Small JD, Fox JG (Academic, New York), pp 293-312.

13. Cox FEG (1988) in Malaria: Principles and Practice of Malariology, eds Wernsdorfer WH, McGregor I (Churchill Livingstone, Edinburgh), pp 1503-1543.

14. Fagbemi B, Christensen NO, Nansen P (1985) Acta Vet Scand 26:191-204.

15. Ngwenya BZ (1982) Parasite Immunol 4:197-207.

16. Fagbemi BO, Christensen NO, Nansen P (1985) Vet Parasitol 17:101-110.

17. Noland GS, Graczyk T, Fried B, Fitzgerald EJ, Kumar N (2005) J Parasitol 91:944-948.

18. Legesse M, Erko B, Balcha F (2004) Acta Trop 91:161-166.

19. Lewinsohn R (1975) Trans R Soc Trop Med Hyg 69:51-56.

20. Christensen NO, Furu P, Kurtzhals J, Odaibo A (1988) Parasitol Res 74:544-551.

21. Hotez PJ, Molyneux DH, Fenwick A, Ottesen E, Ehrlich Sachs S, Sachs JD (2006) PLoS Med 3:e102.

22. Druilhe P, Tall A, Sokhna C (2005) Trends Parasitol 21:359-362.

23. Mwangi TW, Bethony JM, Brooker S (2006) Ann Trop Med Parasitol 100:551-570.

24. Nacher M (2006) Trends Parasitol 22:350-351.

25. Behnke JM, Sinski E, Wakelin D (1999) Parasitol Int 48:183-187.

26. Mzembe SA, Lloyd S, Soulsby EJ (1984) Z Parasitenkd 70:753-761.

27. Chowaniec W, Wescott RB, Congdon LL (1972) Exp Parasitol 32:33-44.

28. Rohde N (1969) MS thesis (Univ of Missouri, Columbia).

29. Fakae BB, Harrison LJ, Ross CA, Sewell MM (1994) Parasitology 108:61-68.

30. Bell RG, Adams LS, Ogden RW (1984) Exp Parasitol 58:8-18.

31. La Flamme AC, Scott P, Pearce EJ (2002) Parasite Immunol 24:339-345.

32. Collins FM, Boros DL, Warren KS (1972) J Infect Dis 125:249-256.

33. Warren KS, Rosenthal MS, Domingo EO (1969) Bull NY Acad Med 45:211-224.

34. Lacroix C, Akarid K, Chau F, Sinet M, Verola O, Carbon C, Derouin F (1998) Parasite Immunol 20:497-501.

35. Yoshida A, Maruyama H, Kumagai T, Amano T, Kobayashi F, Zhang M, Himeno K, Ohta N (2000) Int Immunol 12:1117-1125.

36. Njunda AL, Oyerinde JP (1996) West Afr J Med 15:24-30.

37. Marshall AJ, Brunet LR, van Gessel Y, Alcaraz A, Bliss SK, Pearce EJ, Denkers EY (1999) J Immunol 163:2089-2097.

38. Kloetzel K, Faleiros JJ, Mendes SR, Stanley CT, Sanches Arias H (1973) Trans R Soc Trop Med Hyg 67:652-658.

39. Nichol CP, Sewell MM (1984) Ann Trop Med Parasitol 78:228-233.

40. Rose ME, Wakelin D, Hesketh P (1994) Parasitology 108:69-75.

41. von Allmen N, Christen S, Forster U, Gottstein B, Welle M, Muller N (2006) Parasitology 133:139-149.

42. Roberts-Thomson IC, Grove DI, Stevens DP, Warren KS (1976) Gut 17:953-958.

43. Lubiniecki AS, Cypess RH, Lucas JP (1974) Am J Trop Med Hyg 23:235-241.

44. Rousseau D, Le Fichoux Y, Stien X, Suffia I, Ferrua B, Kubar J (1997) Infect Immun 65:4978-4983.

45. Cypess RH, Lubiniecki AS, Swidwa DM (1974) Infect Immun 9:477-479.

46. Yusuf JN, Piekarski G, Pelster B (1980) Z Parasitenkd 62:231-240.

47. Brady MT, O'Neill SM, Dalton JP, Mills KHG (1999) Infect Immun 67:5372-5378.

48. Lamb TJ, Graham AL, Le Goff L, Allen JE (2005) Parasite Immunol 27:317-324.

49. Graham AL, Lamb TJ, Read AF, Allen JE (2005) J Infect Dis 191:410-421.

50. Buendia A, Fallon PG, Del Rio L, Ortega N, Caro MR, Gallego MC, Salinas J (2002) Microb Pathog 33:7-15.

51. Erb KJ, Trujillo C, Fugate M, Moll H (2002) Clin Diagn Lab Immunol 9:727-730.

52. Liesenfeld O, Dunay IR, Erb KJ (2004) Infect Immun 72:3812-3822.

53. Elias D, Akuffo H, Thors C, Pawlowski A, Britton S (2005) Clin Exp Immunol 139:398-404.

54. Helmby H, Kullberg M, Troye-Blomberg M (1998) Infect Immun 66:5167-5174.

55. Actor JK, Shirai M, Kullberg MC, Buller RM, Sher A, Berzofsky JA (1993) Proc Natl Acad Sci USA 90:948-952.

56. Rodriguez M, Terrazas LI, Marquez R, Bojalil R (1999) Parasite Immunol 21:177-185.

57. Furze RC, Hussell T, Selkirk ME (2006) Infect Immun 74:1924-1932.