Hubbry Logo
CoinfectionCoinfectionMain
Open search
Coinfection
Community hub
Coinfection
logo
7 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Coinfection
Coinfection
Coinfection
View on Wikipedia
from Wikipedia
Coinfection
Pronunciation
SpecialtyInfectious disease

Coinfection is the simultaneous infection of a host by multiple pathogen species. In virology, coinfection includes simultaneous infection of a single cell by two or more virus particles. An example is the coinfection of liver cells with hepatitis B virus and hepatitis D virus, which can arise incrementally by initial infection followed by superinfection.[citation needed]

Global prevalence or incidence of coinfection among humans is unknown, but it is thought to be commonplace,[1] sometimes more common than single infection.[2] Coinfection with helminths affects around 800 million people worldwide.[3]

Coinfection is of particular human health importance because pathogen species can interact within the host. The net effect of coinfection on human health is thought to be negative.[4] Interactions can have either positive or negative effects on other parasites. Under positive parasite interactions, disease transmission and progression are enhanced and this is also known as syndemism. Negative parasite interactions include microbial interference when one bacterial species suppresses the virulence or colonisation of other bacteria, such as Pseudomonas aeruginosa suppressing pathogenic Staphylococcus aureus colony formation.[5] The outcome of coinfection is impacted by exposure order as well as host response to initial infection.[6] The general patterns of ecological interactions between parasite species are unknown, even among common coinfections such as those between sexually transmitted infections.[7] However, network analysis of a food web of coinfection in humans suggests that there is greater potential for interactions via shared food sources than via the immune system.[8]

A globally common coinfection involves tuberculosis and HIV. In some countries, up to 80% of tuberculosis patients are also HIV-positive.[9] The potential for dynamics of these two infectious diseases to be linked has been known for decades.[10] Other common examples of coinfections are AIDS, which involves coinfection of end-stage HIV with opportunistic parasites[11] and polymicrobial infections like Lyme disease with other diseases.[12] Coinfections sometimes can epitomize a zero sum game of bodily resources, and precise viral quantitation demonstrates children co-infected with rhinovirus and respiratory syncytial virus, metapneumovirus or parainfluenza virus have lower nasal viral loads than those with rhinovirus alone.[13]

Poliovirus

[edit]

Poliovirus is a positive single-stranded RNA virus in the family Picornaviridae. Coinfections appear to be common and several pathways have been identified for transmitting multiple virions to a single host cell.[14] These include transmission by virion aggregates, transmission of viral genomes within membrane vesicles, and transmission by bacteria bound by several viral particles. [citation needed]

Drake demonstrated that poliovirus is able to undergo multiplicity reactivation.[15] That is, when polioviruses were irradiated with UV light and allowed to undergo multiple infections of host cells, viable progeny could be formed even at UV doses that inactivated the virus in single infections. Poliovirus can undergo genetic recombination when at least two viral genomes are present in the same host cell. Kirkegaard and Baltimore[16] presented evidence that RNA-dependent RNA polymerase (RdRP) catalyzes recombination by a copy choice mechanism in which the RdRP switches between (+)ssRNA templates during negative strand synthesis. Recombination in RNA viruses appears to be an adaptive mechanism for transmitting an undamaged genome to virus progeny.[17][18]

Examples

[edit]

See also

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Coinfection

View on Grokipedia
from Grokipedia
Coinfection is the simultaneous infection of a host by multiple , including viruses, , fungi, or parasites. This condition arises when two or more distinct infectious agents invade the same host either concurrently or in close succession, often leading to altered disease dynamics due to interactions between the pathogens and the host's . Coinfections are particularly common in vulnerable populations, such as immunocompromised individuals, and can significantly complicate clinical management by masking symptoms, delaying diagnosis, and requiring multifaceted treatment approaches. In human health, coinfections generally worsen outcomes, with studies indicating that they exacerbate infections in over half of reported cases and impair overall health in the majority. Epidemiological data reveal varied prevalence rates depending on the pathogens involved; for example, respiratory viral coinfections occur in up to 20-30% of cases in hospitalized patients, while bacterial superinfections alongside viral illnesses like affect 5-15% of severe cases. Notable examples include coinfection with or hepatitis B/C viruses, which accelerate disease progression and elevate mortality risks, especially in resource-limited settings. These interactions can suppress immune responses, promote persistence, or trigger synergistic effects that amplify tissue damage and . The clinical and public health implications of coinfections underscore the need for integrated diagnostic tools, such as multiplex PCR testing, to identify multiple agents early. Research highlights that coinfected patients face higher rates of hospitalization, intensive care admission, and prolonged recovery, with gram-negative bacterial coinfections linked to increased in-hospital mortality. Ongoing studies emphasize the role of coinfections in emerging infectious diseases, advocating for systems to track combinations and inform and antimicrobial stewardship strategies.

Definition and Concepts

Definition

Coinfection refers to the simultaneous of a single host by two or more distinct , which may occur at the organismal level (affecting the entire host), the tissue level (targeting specific organs or sites), or the cellular level (such as multiple viruses infecting the same cell). This phenomenon encompasses a wide range of pathogens, including viruses, , fungi, , and helminths, and can lead to complex interactions that influence disease outcomes. For instance, at the cellular level, viruses like and can co-infect hepatocytes, altering and host responses. The concept of coinfection emerged in early 20th-century through studies of mixed infections and viral interference, where researchers observed interactions between multiple viral agents in experimental models. Formal recognition in gained prominence in the 1980s, driven by the rising incidence of opportunistic infections in patients, such as and co-occurring with , which highlighted the clinical and implications of multi-pathogen infections. Unlike mono-infection, which involves a single pathogen dominating the host, coinfection emphasizes the concurrent presence and potential interplay of multiple pathogens, often resulting in amplified or modified disease severity. It is distinct from superinfection, where a second pathogen is introduced sequentially during an established primary infection, potentially exploiting a compromised immune system. Basic concepts in coinfection dynamics include syndemics, where co-occurring infections synergistically enhance transmission and exacerbate health burdens due to shared risk factors and biological interactions, as seen in models of pathogen-pathogen facilitation. In contrast, apparent competition arises when one pathogen indirectly suppresses another through cross-reactive host immune responses, reducing the prevalence of the competing agent without direct interaction.

Types of Coinfection

Coinfections are classified primarily by the types of pathogens involved, encompassing interactions between viruses, bacteria, parasites, and fungi. Viral-viral coinfections occur when two or more viruses infect the same host, often involving dual RNA viruses such as HIV and hepatitis C virus (HCV), which share transmission routes and can lead to synergistic disease effects. Bacterial-bacterial coinfections involve multiple bacterial species, such as co-occurrence of Staphylococcus aureus and Streptococcus pneumoniae in respiratory infections, where competition or facilitation between strains alters infection dynamics. Viral-bacterial coinfections represent a common mixed-pathogen scenario, exemplified by influenza A virus paired with Staphylococcus aureus, in which the virus damages respiratory epithelium to facilitate bacterial invasion. Parasitic-viral coinfections, such as helminths like Fasciola hepatica with Mycobacterium bovis (the causative agent of bovine tuberculosis; though analogous in human systems with schistosomiasis and HIV), highlight immunomodulatory effects where parasites alter viral replication. Coinfections can also be categorized by their spatial levels within the host. At the organismal level, multiple pathogens infect the entire host, influencing systemic immune responses and overall disease progression, as seen in increasing susceptibility to across the body. Tissue-specific coinfections are confined to particular organs or tissues, such as involvement where disrupts barriers to enable staphylococcal spread. Cellular coinfections occur when two pathogens enter and replicate within the same host cell, for instance, dual viral entry via shared receptors like in superinfections, potentially amplifying local replication. Opportunistic coinfections arise when secondary pathogens exploit or tissue damage caused by a primary infection, leading to infections by organisms that are typically weakly virulent in healthy hosts. For example, in HIV-induced , opportunistic bacteria like or fungi emerge as secondary invaders. In viral coinfections, poses a significant risk, particularly in viruses, where co-infection of the same cell allows template switching during reverse transcription, generating novel strains. This process contributes to the evolution of quasispecies by enhancing and enabling to immune pressures or antiviral drugs.

Mechanisms of Interaction

Pathogen-Pathogen Interactions

In coinfections, pathogens can directly antagonize one another through mechanisms that inhibit replication or survival without involving host immune modulation. One prominent form of antagonism occurs via , ribosomally synthesized produced by bacteria to target competitor species. For instance, microcin H47 secreted by inhibits the growth of by disrupting its cell envelope and limiting pathogenesis in shared niches like the gut. Similarly, durancin 61A from Enterococcus durans exhibits activity against methicillin-resistant Staphylococcus aureus and difficile by forming pores in their membranes, thereby reducing their proliferation in polymicrobial environments. Viral interference represents another antagonistic interaction, where one suppresses the replication of a superinfecting through for cellular machinery or production of defective interfering particles. A classic example is seen in viruses, where defective particles generated during block the replication of fully infectious strains by competing for viral . Synergistic interactions between coinfecting pathogens can enhance mutual virulence or replication efficiency through direct molecular or metabolic cooperation. In bacterial , and demonstrate via metabolic cross-feeding, where P. aeruginosa produces phenazines that S. aureus utilizes to generate energy, thereby increasing the overall biofilm biomass and tolerance of both . Among viruses, heterologous transactivation provides a direct synergistic mechanism, as exemplified by human (HCMV), whose immediate-early protein IE2-86 activates the (LTR) promoter of HIV-1, boosting HIV-1 and progeny virus production in co-infected cells. Another example involves human parainfluenza virus type 2 (hPIV2), which facilitates entry and replication by promoting cell membrane fusion, independent of broader cellular changes. Resource competition arises when coinfecting vie for limited host-derived nutrients or cellular targets, often leading to reduced overall pathogen burden. In the intestinal environment, and compete for , a carbon source derived from host phospholipids; K. pneumoniae outcompetes S. enterica by more efficiently utilizing this resource, thereby limiting Salmonella colonization. Commensal similarly employs siderophores to sequester iron, depriving pathogenic of this essential metal and inhibiting its growth during coinfection. Such exploitative can favor the fitter pathogen while suppressing the other, as seen in fungal-bacterial interactions where resource depletion by one species curtails the expansion of a co-infecting . Genetic exchange during coinfection enables pathogens to acquire novel traits through recombination or reassortment, driving evolutionary . In viruses with segmented genomes like influenza A, coinfection of host cells allows reassortment of segments, generating progeny with mixed parental genotypes; for example, co-infection with avian and human strains in pigs has produced pandemic variants such as the 2009 H1N1 virus through this process. Recombination in non-segmented viruses, such as HIV-1, occurs when two strains infect the same cell, leading to template switching during reverse transcription and the emergence of recombinant forms with enhanced transmissibility. Bacterial pathogens also exchange genetic material via type IV systems during coinfection, transferring plasmids that confer resistance or factors.

Host Responses to Coinfection

Host responses to coinfection involve complex interactions between the and multiple pathogens, often leading to altered dynamics compared to single infections. Immune dysregulation is a key feature, where dual stimulation can trigger excessive production, resulting in cytokine storms that exacerbate tissue damage. For instance, coinfection with and has been associated with heightened pro-inflammatory cytokines, contributing to severe immunopathology. Similarly, in and lymphocytic choriomeningitis virus coinfections, persistent regulatory T cells prolong and impair viral clearance. Chronic coinfections, such as and , can induce T-cell exhaustion, reducing effector function and promoting pathogen persistence through mechanisms like high viral loads. Immunosuppression effects often arise when one compromises host defenses, facilitating secondary invasions. , for example, depletes + T cells via the Nef protein, increasing susceptibility to opportunistic infections like , particularly in individuals with low counts. In helminth-HIV coinfections, such as with hookworms, parasitic-induced regulatory responses further lower + T-cell counts and impair antiviral immunity through elevated IL-10 production. Protozoan parasites like also disrupt function and Th1/Th2 balance, weakening responses to bacterial or viral coinfecting pathogens. These effects narrow the breadth of T-cell responses, as seen in coinfections, where epitope-specific immunity is diminished. Protective host factors can mitigate coinfection severity by targeting multiple pathogens simultaneously. Type I interferons and IFN-γ from + T cells provide bystander protection, limiting replication in unrelated viruses; for example, viperin, an , inhibits in coinfected cells. Prior infection protects against subsequent challenge by upregulating interferon-stimulated genes, reducing viral loads and inflammation for up to 30 days in mouse models. In some parasite-viral coinfections, helminths enhance type I interferon signaling, attenuating viral pathogenesis. The infection order influences these outcomes: prior type 1 exposure before reduces natural killer cells and plasmacytoid dendritic cells, lowering mortality to 0% compared to 41% in simultaneous infections. Tissue-specific responses vary, reflecting localized immune adaptations. In respiratory coinfections, such as with , elevated IL-6 and TNF-α drive severe and damage, as observed in models where coinfection increased levels beyond single infections. organoids demonstrate virus-virus interference, with blocking via pathways, altering epithelial immunity. Gastrointestinal coinfections, like adenovirus and , show more variable severity, often involving hepatic acceleration in HIV-hepatitis C cases due to localized T-cell impairment. These differences highlight how mucosal barriers and resident immune cells, such as alveolar macrophages in the s versus , modulate coinfection outcomes.

Epidemiology

Global Prevalence

Coinfections constitute a major component of the global infectious , indirectly affecting billions through interactions that exacerbate morbidity and mortality, particularly in resource-limited settings. Helminth infections, often involving coinfections with other pathogens like and , are estimated to impact approximately 600-800 million individuals worldwide, predominantly in tropical and subtropical regions where soil-transmitted helminths overlap with other endemic diseases. data indicate that such coinfections contribute significantly to disability-adjusted life years (DALYs) lost, underscoring their role in sustaining cycles of and poor health outcomes. Regional disparities in coinfection prevalence are stark, with bearing a disproportionate load due to endemicity of multiple pathogens. For instance, HIV-tuberculosis (TB) coinfection rates in this region range from 20% to over 50% among TB cases in high-burden countries, with approximately 662,000 such cases globally in 2023, over 70% occurring in . In contrast, high-income countries exhibit much lower rates, typically under 5% for major coinfections such as HIV-TB, attributable to advanced healthcare , coverage, and . Trends in coinfection prevalence have fluctuated since 2000, with peaks in the mid-2000s for major cases like -TB followed by declines due to interventions such as , though enhances pathogen transmission across borders and rising from factors like prevalence and iatrogenic causes pose ongoing challenges. The advent of has prolonged survival in patients, potentially increasing cumulative exposure to opportunistic infections. Comprehensive monitoring through sources like the , Centers for Disease Control and Prevention (CDC), and the Global Burden of Disease (GBD) studies reveals the substantial role of coinfections in infectious , with recent data highlighting the need for integrated surveillance, including post-COVID-19 trends where viral-bacterial coinfections have risen in some settings.

Risk Factors and Transmission Dynamics

Host risk factors significantly elevate the likelihood of coinfection by compromising immune defenses. Immunocompromise, such as that induced by HIV infection, markedly increases susceptibility to opportunistic pathogens like tuberculosis (TB) and malaria, as HIV impairs T-cell function and overall immunity. Chemotherapy for cancer further weakens the immune system, heightening the risk of bacterial and viral coinfections due to neutropenia and lymphopenia. Malnutrition exacerbates this vulnerability by disrupting mucosal barriers and innate immune responses, leading to higher rates of enteric and respiratory coinfections in affected populations. Age extremes also play a critical role; infants have immature immune systems, increasing coinfection risks from respiratory viruses and bacteria, while the elderly experience immunosenescence, raising susceptibility to polyviral and viral-bacterial interactions. Environmental factors in endemic regions amplify coinfection transmission through conditions that facilitate exposure. Overcrowding promotes close-contact spread of respiratory and sexually transmitted pathogens, while poor in tropical areas heightens risks of parasitic-viral coinfections, such as those involving helminths and . Low socioeconomic settings with inadequate infrastructure, common in and , further drive synergistic infections by enabling fecal-oral and vector-borne pathways. Transmission dynamics of coinfections often involve synergies that enhance spread beyond individual infections. Shared vectors, like mosquitoes transmitting both parasites and facilitating exposure through increased biting on immunocompromised hosts, result in bidirectional amplification where elevates viral loads, boosting transmissibility. Similarly, shared sexual routes for and other STIs, such as or , create coinfection hotspots, as genital from one facilitates acquisition of the other. In mathematical modeling, these interactions elevate the (R₀), with combined R₀ exceeding individual R₀ values due to altered and host susceptibility; for instance, - models show a 5-10% increase in R₀ from synergistic effects. -TB coinfection models similarly demonstrate higher R₀ through enhanced TB progression in -positive individuals.

Clinical Implications

Disease Progression and Severity

Coinfection often accelerates the progression of disease compared to single infections by compromising host immune defenses and promoting rapid pathogen replication or reactivation. In the case of and coinfection, infection (LTBI) reactivates much more quickly in HIV-infected individuals than in those without HIV; while the lifetime risk of reactivation in HIV-uninfected persons is approximately 10%, it rises to 10% per year in HIV-infected individuals with counts below 200 cells/μL, leading to active disease within months rather than years. This accelerated timeline is driven by HIV-induced + T-cell depletion, which impairs the containment of latent , resulting in faster onset of complications such as disseminated . Coinfections also heighten disease severity, manifesting as elevated morbidity and mortality rates beyond those of individual infections. For instance, HIV-malaria coinfection exacerbates severe malaria outcomes, with a 2021 meta-analysis indicating that co-infected patients experience increased rates of complications like cerebral malaria and anemia, alongside higher overall mortality compared to malaria alone; retrospective data from Senegal showed malaria-related mortality at 58% in HIV-positive patients versus 19% in HIV-negative ones. Similarly, in HIV-hepatitis C virus (HCV) coinfection, the combined immune dysregulation amplifies organ damage, contributing to 20-30% excess cardiovascular events in meta-analyses of long-term cohorts. These effects stem from synergistic immune suppression and heightened inflammatory responses that overwhelm host compensatory mechanisms. Alterations in pathogen latency represent another critical aspect of coinfection dynamics, where one infection triggers reactivation of dormant pathogens. Bacterial infections, such as those causing , frequently provoke herpesvirus reactivation; in a study of patients without prior , herpesvirus reactivations occurred in 68% of cases, often involving or Epstein-Barr virus, leading to prolonged and amplified tissue damage. This reactivation disrupts latency maintenance by exploiting bacterial-induced and immune exhaustion, shifting previously infections to active, symptomatic states. Long-term consequences of coinfection include persistent chronic inflammation, which fosters comorbidities such as . In HIV-HCV coinfection, ongoing immune activation elevates proinflammatory cytokines like IL-6 and TNF-α, promoting and increasing risk by 1.5- to 2-fold compared to HIV monoinfection, even with antiretroviral therapy. This sustained inflammatory milieu accelerates and plaque formation, highlighting how coinfections extend beyond acute phases to drive multisystemic pathology over years.

Diagnostic and Prognostic Challenges

Diagnosing coinfections presents significant challenges due to the overlapping clinical symptoms of multiple pathogens, which often mask the presence of secondary infections and complicate differentiation from monoinfections. For instance, respiratory coinfections involving and viruses may exhibit similar signs such as fever, , and dyspnea, leading to delayed or missed diagnoses of co-occurring agents. To address this, multiplex PCR assays and panels have emerged as essential tools, enabling simultaneous detection of multiple pathogens from a single sample with high , thereby improving diagnostic accuracy in complex cases. Prognostic assessment in coinfections is further hindered by the limited specificity of common biomarkers, which fail to reliably distinguish coinfection outcomes from those of single infections. Elevated levels of (CRP) are frequently observed in coinfected patients, often exceeding those in monoinfections—for example, in mixed viral-bacterial , CRP values are significantly higher in coinfection cases compared to viral or bacterial monoinfections alone—yet this marker's poor specificity reduces its utility for precise risk stratification. Similarly, in dengue-chikungunya coinfections, CRP concentrations are markedly increased relative to monoinfections, but variations in host responses limit its prognostic value without additional context. In resource-limited settings, these diagnostic hurdles are exacerbated by inadequate access to advanced testing infrastructure, resulting in underdiagnosis of coinfections such as . According to the World Health Organization's 2024 Global Tuberculosis Report, while global HIV testing coverage among notified TB patients reached 80% in 2023, implementation remains inconsistent in low-income countries due to reliance on basic methods like sputum smear , which detects only 50-60% of TB cases overall and performs even poorer in immunocompromised HIV-positive individuals. Emerging technologies, such as AI-assisted metagenomic sequencing, offer promising solutions for rapid coinfection identification by analyzing multiple microbial genomes from a single clinical sample. These approaches leverage algorithms to enhance detection accuracy and speed, as demonstrated in tools like VirDetect-AI, which identifies eukaryotic viruses in metagenomic datasets with improved sensitivity over traditional methods.

Treatment and Management

Therapeutic Strategies

Therapeutic strategies for coinfections emphasize integrated approaches that address multiple pathogens simultaneously or sequentially, tailored to the specific pathogens involved and the patient's clinical status. is a cornerstone, particularly in viral-bacterial coinfections such as and (TB), where concurrent administration of antiretroviral therapy () and anti-TB regimens is standard to control both infections and prevent progression. For -TB coinfection, the (WHO) recommends initiating alongside the standard RIPE regimen (rifampin, isoniazid, pyrazinamide, ethambutol) for 6-9 months, with dose adjustments to mitigate drug-drug interactions; for instance, is dosed at 600-800 mg daily when co-administered with rifamycins to counteract induction that reduces efficacy. In cases where pathogens interact synergistically to exacerbate disease, treatment prioritization focuses on the dominant to stabilize the patient before addressing secondary infections. For example, in acute HIV-malaria coinfection, antimalarial therapy—such as artemether-lumefantrine or for —is initiated first due to malaria's rapid severity, including risks like cerebral malaria or severe , followed by initiation within 2-8 weeks depending on count. This sequencing minimizes immune activation from malaria that could worsen HIV , as supported by clinical guidelines emphasizing prompt parasite clearance in endemic regions. Adjunctive therapies, including immunomodulators, are employed to modulate excessive host inflammatory responses that can amplify coinfection severity, particularly in bacterial-viral cases like complicated by pneumococcal . Corticosteroids, such as dexamethasone at 6 mg daily for up to 10 days, serve as adjuncts in severe (CAP) with viral-bacterial elements, reducing and ventilator dependence while antibiotics target the bacterial component; however, their use is reserved for hypoxemic patients to avoid risks. Close monitoring of renal and hepatic function is recommended during to optimize outcomes in resource-limited settings.

Treatment Complications

Treating coinfections often involves concurrent administration of multiple agents, leading to significant pharmacokinetic interactions that can compromise therapeutic . For instance, rifampin, a cornerstone of , acts as a potent inducer of (CYP450) enzymes, substantially reducing plasma concentrations of antiretroviral such as and protease inhibitors used in management. This interaction necessitates dose adjustments or alternative regimens, such as doubling doses during co-treatment, to maintain viral suppression. Similarly, , another , induces CYP isoenzymes and poses comparable risks with antiretrovirals, often requiring extended isoniazid-based prophylaxis instead of shorter -inclusive courses in -coinfected patients. These conflicts highlight the need for tailored therapeutic strategies to mitigate reduced exposure and treatment failure. Toxicity amplification represents another critical complication, where dual or multi-drug regimens exacerbate organ-specific adverse effects, particularly hepatotoxicity. In HIV-hepatitis B virus (HBV) coinfections, antiretroviral therapies like tenofovir and emtricitabine, which also serve as HBV treatments, combined with other agents, increase the risk of liver injury due to direct hepatotoxic effects and immune-mediated hypersensitivity. Coinfected patients face a higher incidence of severe hepatotoxicity compared to monoinfected individuals, with mechanisms including mitochondrial toxicity from nucleoside analogs and exacerbated inflammation in the liver. Protease inhibitor-based regimens further elevate this risk, especially in the presence of underlying chronic viral hepatitis, underscoring the importance of regular monitoring of liver function tests during dual therapy. The emergence of is accelerated in coinfected populations due to incomplete adherence driven by regimen complexity, pill burden, and side effects. In -tuberculosis coinfections, suboptimal adherence to lengthy multi-drug TB regimens—often compounded by interactions—promotes the selection of multidrug-resistant (MDR) strains, with impairing immune clearance and facilitating resistance propagation. Studies indicate that prior inadequate treatment and poor adherence contribute to higher MDR-TB rates among coinfected individuals, leading to poorer outcomes and prolonged infectious periods. This dynamic not only worsens individual but also fuels community-level transmission of resistant pathogens. Equity issues compound these challenges, as coinfected populations in low- and middle-income countries (LMICs) face substantial access barriers to integrated care, resulting in persistent treatment gaps. In 2024, only 61% of people living with HIV who developed TB received antiretroviral therapy globally, with LMICs bearing the brunt due to funding shortfalls, fragmented health systems, and stigma. These disparities continue to limit timely diagnosis and regimen initiation, exacerbating resistance and mortality in resource-constrained settings.

Notable Examples

Viral Coinfections

Viral coinfections occur when two or more viruses simultaneously infect a host, often leading to synergistic interactions that exacerbate severity through mechanisms such as immune modulation and enhanced viral replication. One prominent example is the coinfection of human immunodeficiency virus () and (HCV), which affects approximately 6% of individuals living with HIV globally as of 2023. HIV accelerates the progression of HCV-related , increasing the risk of , , and by threefold compared to HCV monoinfection. This interaction is attributed to HIV-induced immune suppression, which promotes higher HCV viral loads and faster hepatic damage, as outlined in the 2024 European AIDS Clinical Society (EACS) guidelines recommending prompt direct-acting antiviral therapy for all coinfected patients to mitigate these risks. Influenza virus and (RSV) coinfection, particularly in children, is associated with severe respiratory outcomes, including higher rates of hospitalization, , and prolonged illness duration compared to single infections. Studies of pediatric cohorts have shown that coinfected children experience worsened and , with increased severity leading to higher ICU admission risks in some cases. Additionally, laboratory evidence indicates potential for interbreeding between and RSV, where hybrid viruses incorporating proteins from both can evade neutralizing antibodies and enhance intracellular spread, raising concerns for and recombination risks in coinfected hosts. Hepatitis B virus (HBV) and hepatitis D virus (HDV) coinfection represents a unique dependency, as HDV is a defective virus that requires HBV for its replication and envelope proteins to infect hepatocytes. This symbiotic relationship results in more severe acute liver injury than HBV monoinfection, with coinfection associated with an increased risk of fulminant hepatitis and a higher likelihood of chronic liver disease progression. Clinical data highlight that simultaneous HBV-HDV acquisition often triggers rapid hepatocyte necrosis and liver failure, necessitating targeted antiviral interventions like pegylated interferon for HDV suppression. Coinfections involving severe acute respiratory syndrome coronavirus 2 () with other respiratory viruses, such as or RSV, have been linked to increased hospitalization rates and severity during the 2020-2023 pandemic period. Systematic reviews of hospitalized patients revealed that viral coinfections occurred in approximately 3-14% of cases, correlating with higher risks of intensive care admission and mortality due to amplified inflammatory responses. Notably, early studies from 2020-2023 indicated that up to 15% of reported bacterial superinfections were potentially misclassified viral coinfections, underscoring diagnostic challenges and the need for multiplex testing to accurately assess compounded respiratory burden.

Bacterial and Parasitic Coinfections

Bacterial and parasitic coinfections, particularly those involving viruses, present unique challenges due to synergistic interactions that exacerbate disease progression and complicate immune responses. One prominent example is the coinfection of with Mycobacterium tuberculosis (TB), where HIV-induced facilitates TB reactivation and dissemination by impairing function and T-cell responses, allowing the bacterium to evade host defenses more effectively. This synergy is bidirectional, as TB infection accelerates HIV replication by disrupting integrity and promoting chronic inflammation, leading to faster CD4+ T-cell depletion. According to the World Health Organization's Global Tuberculosis Report 2024, there were an estimated 662,000 incident cases of HIV-associated TB in 2023, predominantly in , underscoring the ongoing global burden despite advances in antiretroviral therapy. In regions endemic for multiple parasites, coinfections between malaria (Plasmodium spp.) and helminths, such as soil-transmitted worms or schistosomes, are prevalent and influence disease outcomes through immune modulation. Helminth infections often induce a Th2-biased that can dampen the pro-inflammatory Th1 reactions typically mounted against malaria, potentially reducing the severity of cerebral malaria but sometimes increasing parasite density and anemia risk. This immunomodulatory effect arises from helminth-secreted products that suppress activation and production, altering the host's ability to clear Plasmodium merozoites. In , where malaria affects over 200 million people annually and helminth infections are co-endemic in much of the population, co-infection rates can reach 17-20%, contributing to heightened morbidity in vulnerable groups like children and pregnant women. Vector-borne bacterial coinfections, such as caused by alongside other tick-transmitted pathogens, occur through co-transmission by the same arthropod vectors, amplifying clinical complexity. The blacklegged tick () in and in Europe serve as primary vectors, capable of harboring multiple pathogens including () and (), which are acquired during blood meals on infected hosts and transmitted simultaneously to humans during a single bite. This co-transmission increases the likelihood of polymicrobial infections, where overlapping symptoms like fever, , and neurological issues hinder , and pathogen interactions may enhance persistence by altering host immune evasion strategies. Studies indicate that up to 20-30% of cases in endemic areas involve such coinfections, emphasizing the role of ecological factors in vector competence. Historical insights into bacterial-viral interactions come from studies on coinfection with enteric , where bacterial presence promotes viral aggregation, facilitating and enhanced infectivity. In the mid-20th century, research during the 1950s poliomyelitis epidemics demonstrated that particles could aggregate in the presence of gut like Escherichia coli, leading to clustered virions that resist neutralization and promote intra-host recombination events, potentially contributing to and outbreak dynamics. Subsequent work has confirmed that specific bacterial strains bind poliovirus capsids, stabilizing aggregates that increase co-infection efficiency in mammalian cells and aid recombination by bringing multiple viral genomes into proximity during replication. These findings, rooted in early experiments, highlight how microbial communities in the intestine can influence , a mechanism relevant to understanding persistent in coinfected hosts.

Prevention and Control

Public Health Interventions

Public health interventions for coinfection emphasize population-level strategies to mitigate transmission and incidence, particularly in regions with overlapping epidemics of multiple pathogens. These approaches integrate screening, vector management, behavioral modifications, and enhanced monitoring to address the synergistic risks posed by concurrent infections, such as those involving , (TB), , and other viruses. By targeting shared transmission pathways, these interventions aim to reduce the overall burden without focusing on individual case management. Integrated screening programs represent a cornerstone of coinfection prevention, enabling simultaneous detection of multiple pathogens to facilitate early intervention. The (WHO) initiated collaborative TB/HIV activities in 2004 through an interim that established mechanisms for joint program coordination, including dual testing for TB among people living with and HIV screening for those with presumptive or diagnosed TB. This framework was updated in 2012 to prioritize integrated service delivery at the same facility and time, reducing delays in diagnosis and treatment initiation, which has been scaled up in high-burden countries to significantly decrease TB incidence among HIV-positive individuals in implemented settings. Similar dual-testing initiatives have been adapted for other coinfections, such as HIV-hepatitis C virus (HCV), where routine opt-out screening in HIV clinics has improved detection rates in high-prevalence areas like and . Vector control measures are critical for preventing coinfections involving vector-borne pathogens, such as -HIV overlap in endemic regions. Insecticide-treated bed nets (ITNs) serve as a primary tool by acting as physical barriers and repellents against mosquitoes, thereby lowering parasite transmission and subsequent coinfection risks among HIV-positive individuals. Studies in Northeast have shown that consistent ITN use reduces the odds of HIV- coinfection by over sixfold (adjusted 6.21; 95% CI 2.74-14.11) compared to non-use, as ITNs decrease episodes that exacerbate HIV progression. Complementary strategies, including indoor residual spraying, have further contributed to substantial reductions in incidence when combined with antiretroviral and prophylaxis in areas like . Behavioral interventions focus on and risk-reduction counseling to curb transmission behaviors in high-prevalence communities, targeting shared risk factors like unprotected sex or injection drug use that facilitate multiple infections. In regions with elevated , (HBV), and HCV rates, such as among people who inject drugs, multisession counseling programs promote safer practices, including use and sterile equipment, resulting in modest reductions in sexual risk behaviors and a 44% decrease in viral transmission risks through integrated counseling and referrals. initiatives in the United States, adapted for coinfection contexts, have increased access to prevention services and reduced HIV-HCV incidence by engaging at-risk populations with on avoiding shared needles and overdose prevention, thereby addressing environments. These programs emphasize culturally sensitive messaging to overcome stigma, with evidence from urban high-prevalence areas showing sustained behavior changes over 12 months. Surveillance systems provide essential data for tracking coinfection patterns and informing targeted responses, with global networks enabling real-time genomic monitoring. The Global Initiative on Sharing All Influenza Data (), established for influenza surveillance, expanded significantly post-2020 to include and other emerging viruses, facilitating the analysis of over 11 million genomes by 2022 to detect coinfection dynamics and variants. This platform has supported public health responses by identifying recombination events in coinfected hosts, such as SARS-CoV-2-influenza overlaps, and has been integrated into national systems in over 200 countries to enhance early warning for polyspecific outbreaks. Enhanced reporting through has improved coinfection detection in immunocompromised populations, contributing to adaptive interventions in regions like and . As of 2025, continues to expand with millions more sequences, aiding ongoing surveillance of coinfection trends.

Research Directions

Recent studies from 2023 to 2025 have elucidated the gut microbiome's role in modulating viral coinfections by influencing host immune responses through metabolites such as (SCFAs). For instance, SCFAs produced by bacteria like and enhance type I signaling and T-cell activation, reducing the severity of respiratory viral infections like and when co-occurring with bacterial . In HIV coinfections, fecal transplantation has been shown to restore gut diversity and improve antiviral immunity, highlighting potential therapeutic targets. Emerging vaccine development focuses on polyvalent strategies targeting common coinfection pairs, such as and (TB). Recombinant BCG vaccines engineered to express HIV-1 antigens aim to elicit dual humoral and cellular immunity, protecting against both pathogens in preclinical models and early human trials. Recent phase 1b/2a trials of the M72/AS01E TB candidate in HIV-positive individuals demonstrate acceptable and , with two-dose regimens boosting T-cell responses without exacerbating HIV progression. Advances in computational modeling include agent-based simulations of coinfection interaction networks, particularly for syndemics like TB-HIV. These models integrate immune cell dynamics, such as CD4+ T-cell exhaustion and formation, to predict interplay and reinfection risks in latent states. Mechanistic frameworks further simulate virus-bacteria co-infection outcomes, informing public health strategies by quantifying transmission synergies. Research gaps persist in underexplored non-HIV coinfections, particularly those driven by , such as rising parasitic diseases like . The IPCC's 2022 assessment projects expanded transmission suitability for in and under RCP4.5 scenarios, due to warmer temperatures and altered water patterns facilitating snail intermediate hosts and human exposure. These shifts may increase coinfection risks with waterborne pathogens, underscoring the need for integrated surveillance beyond HIV-focused studies.

References

  1. https://www.ncbi.nlm.nih.gov/medgen/452372
  2. https://grants.nih.gov/grants/guide/pa-files/par-20-061.html
  3. https://pmc.ncbi.nlm.nih.gov/articles/PMC9784482/
  4. https://pmc.ncbi.nlm.nih.gov/articles/PMC3430964/
  5. https://pmc.ncbi.nlm.nih.gov/articles/PMC11053695/
  6. https://pmc.ncbi.nlm.nih.gov/articles/PMC9027948/
  7. https://pmc.ncbi.nlm.nih.gov/articles/PMC4484961/
  8. https://pubmed.ncbi.nlm.nih.gov/24973812/
  9. https://pmc.ncbi.nlm.nih.gov/articles/PMC11022686/
  10. https://pmc.ncbi.nlm.nih.gov/articles/PMC8876760/
  11. https://pmc.ncbi.nlm.nih.gov/articles/PMC10393489/
  12. https://pmc.ncbi.nlm.nih.gov/articles/PMC7470396/
  13. https://www.cdc.gov/hepatitis-d/about/index.html
  14. https://journals.asm.org/doi/10.1128/jvi.00151-09
  15. https://www.cdc.gov/mmwr/preview/mmwrhtml/00036634.htm
  16. https://pmc.ncbi.nlm.nih.gov/articles/PMC3080196/
  17. https://pmc.ncbi.nlm.nih.gov/articles/PMC3716377/
  18. https://pmc.ncbi.nlm.nih.gov/articles/PMC11126107/
  19. https://pmc.ncbi.nlm.nih.gov/articles/PMC8026275/
  20. https://pmc.ncbi.nlm.nih.gov/articles/PMC12332146/
  21. https://pmc.ncbi.nlm.nih.gov/articles/PMC9682395/
  22. https://www.mdpi.com/2076-0817/13/5/349
  23. https://hivinfo.nih.gov/understanding-hiv/fact-sheets/what-opportunistic-infection
  24. https://pmc.ncbi.nlm.nih.gov/articles/PMC7693372/
  25. https://wwwnc.cdc.gov/eid/article/3/3/97-0301_article
  26. https://www.science.org/doi/10.1126/science.aat2456
  27. https://pmc.ncbi.nlm.nih.gov/articles/PMC7172858/
  28. https://journals.asm.org/doi/10.1128/mbio.00583-24
  29. https://pmc.ncbi.nlm.nih.gov/articles/PMC4524221/
  30. https://pmc.ncbi.nlm.nih.gov/articles/PMC2688673/
  31. https://pmc.ncbi.nlm.nih.gov/articles/PMC6148187/
  32. https://pmc.ncbi.nlm.nih.gov/articles/PMC6237250/
  33. https://idpjournal.biomedcentral.com/articles/10.1186/s40249-024-01238-9
  34. https://www.who.int/news/item/20-11-2024-world-aids-day-2024
  35. https://www.afro.who.int/publications/tuberculosis-who-african-region-2023-progress-update
  36. https://www.sciencedirect.com/science/article/pii/S1201971225000992
  37. https://www.healthdata.org/research-analysis/gbd
  38. https://journals.lww.com/co-infectiousdiseases/fulltext/2018/06000/when_do_co_infections_matter_.2.aspx
  39. https://www.cdc.gov/cancer-preventing-infections/patients/index.html
  40. https://pmc.ncbi.nlm.nih.gov/articles/PMC8906403/
  41. https://www.sciencedirect.com/science/article/pii/S0029646522018783
  42. https://pmc.ncbi.nlm.nih.gov/articles/PMC12443670/
  43. https://pmc.ncbi.nlm.nih.gov/articles/PMC11342656/
  44. https://www.mdpi.com/2077-0383/14/7/2154
  45. https://pmc.ncbi.nlm.nih.gov/articles/PMC6958454/
  46. https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2021.656938/full
  47. https://www.ncbi.nlm.nih.gov/books/NBK573161/
  48. https://pmc.ncbi.nlm.nih.gov/articles/PMC10951863/
  49. https://www.dovepress.com/a-systematic-literature-review-of-mathematical-models-for-coinfections-peer-reviewed-fulltext-article-JMDH
  50. https://pmc.ncbi.nlm.nih.gov/articles/PMC6130302/
  51. https://clinicalinfo.hiv.gov/en/guidelines/hiv-clinical-guidelines-adult-and-adolescent-opportunistic-infections/mycobacterium
  52. https://www.nature.com/articles/s41598-021-95591-6
  53. https://pmc.ncbi.nlm.nih.gov/articles/PMC6067790/
  54. https://www.researchgate.net/publication/316957882_HIVHCV_Co-infection_and_the_risk_of_Cardiovascular_Disease_A_Meta-analysis
  55. https://academic.oup.com/cid/article/64/9/1204/2967978
  56. https://www.ahajournals.org/doi/10.1161/JAHA.122.026473
  57. https://pubmed.ncbi.nlm.nih.gov/38781301/
  58. https://www.nature.com/articles/s41598-025-16434-2
  59. https://pubs.acs.org/doi/full/10.1021/acssensors.4c03209
  60. https://bmcpulmmed.biomedcentral.com/articles/10.1186/1471-2466-14-123
  61. https://www.sciencedirect.com/science/article/abs/pii/S0166354221002151
  62. https://cdn.who.int/media/docs/default-source/global-tuberculosis-report-2024/global-tb-report-2024_factsheet.pdf
  63. https://idpjournal.biomedcentral.com/articles/10.1186/s40249-024-01227-y
  64. https://pmc.ncbi.nlm.nih.gov/articles/PMC12493982/
  65. https://academic.oup.com/bib/article/26/1/bbaf001/7953916
  66. https://pmc.ncbi.nlm.nih.gov/articles/PMC10974211/
  67. https://www.who.int/news/item/16-05-2024-who-launches-updated-guidance-on-hiv-associated-tb
  68. https://pmc.ncbi.nlm.nih.gov/articles/PMC7150329/
  69. https://www.who.int/publications/i/item/guidelines-for-malaria
  70. https://publications.ersnet.org/content/errev/30/159/200346
  71. https://www.who.int/news-room/fact-sheets/detail/tuberculosis
  72. https://academic.oup.com/ofid/article/11/2/ofad666/7516102
  73. https://clinicalinfo.hiv.gov/en/guidelines/hiv-clinical-guidelines-adult-and-adolescent-arv/coinfections-hepatitis-c-virus-hiv
  74. https://www.eacsociety.org/media/guidelines-12.0.pdf
  75. https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-024-09033-5
  76. https://www.sciencedirect.com/science/article/abs/pii/S1386653220304273
  77. https://pmc.ncbi.nlm.nih.gov/articles/PMC10389600/
  78. https://www.who.int/news-room/fact-sheets/detail/hepatitis-d
  79. https://pmc.ncbi.nlm.nih.gov/articles/PMC9781095/
  80. https://pmc.ncbi.nlm.nih.gov/articles/PMC10142898/
  81. https://www.sciencedirect.com/science/article/pii/S187603412400220X
  82. https://academic.oup.com/ofid/article/8/1/ofaa578/6042813
  83. https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1002464
  84. https://www.who.int/publications/i/item/9789240101531
  85. https://aacijournal.biomedcentral.com/articles/10.1186/s13223-018-0235-z
  86. https://www.nature.com/articles/srep31291
  87. https://pmc.ncbi.nlm.nih.gov/articles/PMC9025727/
  88. https://www.mdpi.com/1660-4601/19/9/5444
  89. https://www.niaid.nih.gov/diseases-conditions/lyme-disease-co-infection
  90. https://www.nature.com/articles/s41598-025-05885-2
  91. https://news.mayocliniclabs.com/infectious-disease/vector-borne-diseases/tick-borne-coinfection/
  92. https://pmc.ncbi.nlm.nih.gov/articles/PMC8879382/
  93. https://pmc.ncbi.nlm.nih.gov/articles/PMC5764776/
  94. http://apps.who.int/iris/bitstream/10665/78705/1/WHO_HTM_TB_2004.330_eng.pdf
  95. https://www.who.int/publications/i/item/9789241503006
  96. https://pmc.ncbi.nlm.nih.gov/articles/PMC7702680/
  97. https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(09)70074-6/fulltext
  98. https://pmc.ncbi.nlm.nih.gov/articles/PMC10820947/
  99. https://www.cdc.gov/mmwr/preview/mmwrhtml/rr6105a1.htm
  100. https://gisaid.org/
  101. https://pmc.ncbi.nlm.nih.gov/articles/PMC10399614/
  102. https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2025.1536778/full
  103. https://pmc.ncbi.nlm.nih.gov/articles/PMC12476802/
  104. https://www.eatg.org/hiv-news/novel-tb-shots-may-benefit-hiv-positive-population/
  105. https://hammer.purdue.edu/articles/thesis/_b_Agent-Based_Modeling_Of_b_b_Infectious_Disease_Dynamics_Insights_into_Tuberculosis_Pediatric_HIV_and_Tuberculosis-HIV_Coinfection_b_/25669659
  106. https://pmc.ncbi.nlm.nih.gov/articles/PMC12389068/
  107. https://www.ipcc.ch/report/ar6/wg2/chapter/chapter-7/
Add your contribution
Related Hubs
User Avatar
No comments yet.