Coinfections are common in natural populations, and the literature suggests that helminth coinfection readily affects how the immune system manages malaria. For example, type 1-dependent control of malaria parasitemia might be impaired by the type 2 milieu of preexisting helminth infection. Alternatively, immunomodulatory effects of helminths might affect the likelihood of malarial immunopathology. Using rodent models of lymphatic filariasis (Litomosoides sigmodontis) and noncerebral malaria (clone AS Plasmodium chabaudi chabaudi), we quantified disease severity, parasitemia, and polyclonal splenic immune responses in BALB/c mice. We found that coinfected mice, particularly those that did not have microfilaremia (Mf(-)), had more severe anemia and loss of body mass than did mice with malaria alone. Even when controlling for parasitemia, malaria was most severe in Mf(-) coinfected mice, and this was associated with increased interferon- gamma responsiveness. Thus, in Mf(-) mice, filariasis upset a delicate immunological balance in malaria infection and exacerbated malaria-induced immunopathology.

As the threat of Covid-19 continues and in the face of vaccine dose shortages and logistical challenges, various deployment strategies are being proposed to increase population immunity levels. How timing of delivery of the second dose affects infection burden but also prospects for the evolution of viral immune escape are critical questions. Both hinge on the strength and duration (i.e. robustness) of the immune response elicited by a single dose, compared to natural and two-dose immunity. Building on an existing immuno-epidemiological model, we find that in the short-term, focusing on one dose generally decreases infections, but longer-term outcomes depend on this relative immune robustness. We then explore three scenarios of selection, evaluating how different second dose delays might drive immune escape via a build-up of partially immune individuals. Under certain scenarios, we find that a one-dose policy may increase the potential for antigenic evolution. We highlight the critical need to test viral loads and quantify immune responses after one vaccine dose, and to ramp up vaccination efforts throughout the world.

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Disease directly caused by immune system action is known as immunopathology. Many factors may lead the immune system to cause rather than cure disease, and autoimmune, allergic, and infection-related immunopathological diseases affect millions of people worldwide. This review presents an analysis of T-helper cell mediated, infection-related immunopathology within the framework of evolutionary ecology. A proximate cause of infection-related immunopathology is an error in the type of T-helper response induced. Distinct subsets of T-helper cells enable different effector mechanisms and therefore work optimally against different types of parasites (e.g., extracellular versus intracellular parasites). Immune responses that cure rather than cause disease require that the T-helper subset be tailored to the parasite. It is thus critical for the immunophenotype to match the "environment" of the parasitic infection. As in other cases of adaptive plasticity, a mismatch between an organism's phenotype and the selective environment can decrease fitness. T-helper response induction may be confounded by coinfection of a single host by multiple parasite species. Because of normally adaptive feedback loops that lend to polarize T-helper responses, it can become impossible for the immune system to mount effective, conflicting responses concurrently. Immunophenotype-environment mismatches may thus be inevitable when simultaneous, conflicting immune responses are required. An ultimate cause of infection-related immunopathology in a multiparasite selection regime is the T-helper response polarization that can propagate response errors and constrain the ability of the immune system to resolve conflicting response requirements. A case study is used to illustrate how coinfection can exacerbate immunopathology and to frame testable predictions about optimal responses to coinfection (e.g., is the observed joint response to coinfection accurately predicted by the average of the component single-infection optimal responses, where the single-infection optima are weighted by the contribution of each to fitness). The case study includes immunological and pathological data from mice infected by Schistosoma mansoni alone and by S. mansoni in combination with Toxoplasma gondii. Such data can inform hypothesis tests of evolutionary ecological principles, and ecological analysis can in turn clarify assumptions about responses to coinfection for a greater understanding of the immune system. The synthesis of evolutionary ecology and immunology could therefore be of mutual benefit to the two disciplines.

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