Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (1,000 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
A frequent complication of drug therapy for microbial infection. It may result from opportunistic colonization following immunosuppression by the primary pathogen and can be influenced by the time interval between infections, microbial physiology, or host resistance. Experimental challenge and in vitro models are sometimes used in virulence and infectivity studies.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Superinfections; Microbial Superinvasion; Microbial Superinvasions; Superinvasions, Microbial; Superinvasion, Microbial.
Where it fits in the MeSH classification
- Broader topics
- Opportunistic Infections
- See also
- Viral Interference
Research landscape
PubMed indexes 2,175 records tagged with the MeSH heading “Superinfection” (counts retrieved 2026-10-29). 374 of them (17.2%) were published from 2020 onward, and the busiest period so far is through 1999 with 702 records.
Reviews account for 266 records (12.2%) and meta-analyses for 14. Randomized controlled trials number 47 (2.2%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 702 |
| 2000-2009 | 540 |
| 2010-2019 | 559 |
| 2020 onward | 374 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 266 | 12.2% |
| Meta-analyses | 14 | 0.6% |
| Randomized controlled trials | 47 | 2.2% |
Method: PubMed query "Superinfection"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in infectious diseases
Infectious disease evidence combines microbiology, epidemiology and clinical trials. Laboratory studies identify pathogens and how they cause harm; surveillance and outbreak investigations describe who is affected and how infection spreads; trials establish whether treatments and vaccines work. Results depend on place and time, because pathogens evolve and resistance patterns and population immunity change. Check when and where the data were collected, how cases were defined and how up to date the evidence is.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Coinfections and their molecular consequences in the porcine respiratory tract | 2020 | Review article Design not recorded in structured metadata | 180 | cc by PMID 32546263 · DOI · PMC7296899 |
| Establishment of a Wolbachia Superinfection in Aedes aegypti Mosquitoes as a Potential Approach for Future Resistance Management | 2016 | Research article Design not recorded in structured metadata | 180 | cc by PMID 26891349 · DOI · PMC4758728 |
| Influenza virus reassortment occurs with high frequency in the absence of segment mismatch | 2013 | Research article Design not recorded in structured metadata | 166 | cc by PMID 23785286 · DOI · PMC3681746 |
| Double trouble: how co- and superinfections shape viral dynamics and host responses | 2026 | Review article Design not recorded in structured metadata | 1 | cc by PMID 42334213 · DOI · PMC13386837 |
Coinfections and their molecular consequences in the porcine respiratory tract [1]
Abstract reading summary — source excerpts
- Opening excerpt
- Understudied, coinfections are more frequent in pig farms than single infections.
- Closing excerpt
- We discuss the main limitations complicating the interpretation of coinfection/superinfection studies, and the high potential perspectives in this fascinating research field, which is expecting to gain more and more interest in the next years for the obvious benefit of animal health.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (190 words)
Understudied, coinfections are more frequent in pig farms than single infections. In pigs, the term "Porcine Respiratory Disease Complex" (PRDC) is often used to describe coinfections involving viruses such as swine Influenza A Virus (swIAV), Porcine Reproductive and Respiratory Syndrome Virus (PRRSV), and Porcine CircoVirus type 2 (PCV2) as well as bacteria like Actinobacillus pleuropneumoniae, Mycoplasma hyopneumoniae and Bordetella bronchiseptica. The clinical outcome of the various coinfection or superinfection situations is usually assessed in the studies while in most of cases there is no clear elucidation of the fine mechanisms shaping the complex interactions occurring between microorganisms. In this comprehensive review, we aimed at identifying the studies dealing with coinfections or superinfections in the pig respiratory tract and at presenting the interactions between pathogens and, when possible, the mechanisms controlling them. Coinfections and superinfections involving viruses and bacteria were considered while research articles including protozoan and fungi were excluded. We discuss the main limitations complicating the interpretation of coinfection/superinfection studies, and the high potential perspectives in this fascinating research field, which is expecting to gain more and more interest in the next years for the obvious benefit of animal health.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32546263 · DOI · PMC7296899
Establishment of a Wolbachia Superinfection in Aedes aegypti Mosquitoes as a Potential Approach for Future Resistance Management [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Wolbachia pipientis is an endosymbiotic bacterium estimated to chronically infect between 40-75% of all arthropod species.
- Closing excerpt
- These results suggest that the deployment of superinfections could be used to replace single infections and may represent an effective strategy to help manage potential resistance by DENV to field deployments of single infected strains.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (256 words)
Wolbachia pipientis is an endosymbiotic bacterium estimated to chronically infect between 40-75% of all arthropod species. Aedes aegypti, the principle mosquito vector of dengue virus (DENV), is not a natural host of Wolbachia. The transinfection of Wolbachia strains such as wAlbB, wMel and wMelPop-CLA into Ae. aegypti has been shown to significantly reduce the vector competence of this mosquito for a range of human pathogens in the laboratory. This has led to wMel-transinfected Ae. aegypti currently being released in five countries to evaluate its effectiveness to control dengue disease in human populations. Here we describe the generation of a superinfected Ae. aegypti mosquito line simultaneously infected with two avirulent Wolbachia strains, wMel and wAlbB. The line carries a high overall Wolbachia density and tissue localisation of the individual strains is very similar to each respective single infected parental line. The superinfected line induces unidirectional cytoplasmic incompatibility (CI) when crossed to each single infected parental line, suggesting that the superinfection would have the capacity to replace either of the single constituent infections already present in a mosquito population. No significant differences in fitness parameters were observed between the superinfected line and the parental lines under the experimental conditions tested. Finally, the superinfected line blocks DENV replication more efficiently than the single wMel strain when challenged with blood meals from viremic dengue patients. These results suggest that the deployment of superinfections could be used to replace single infections and may represent an effective strategy to help manage potential resistance by DENV to field deployments of single infected strains.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 26891349 · DOI · PMC4758728
Influenza virus reassortment occurs with high frequency in the absence of segment mismatch [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Reassortment is fundamental to the evolution of influenza viruses and plays a key role in the generation of epidemiologically significant strains.
- Closing excerpt
- Overall, our results indicate that reassortment between two like influenza viruses is efficient but also strongly dependent on dose and timing of the infections.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (300 words)
Reassortment is fundamental to the evolution of influenza viruses and plays a key role in the generation of epidemiologically significant strains. Previous studies indicate that reassortment is restricted by segment mismatch, arising from functional incompatibilities among components of two viruses. Additional factors that dictate the efficiency of reassortment remain poorly characterized. Thus, it is unclear what conditions are favorable for reassortment and therefore under what circumstances novel influenza A viruses might arise in nature. Herein, we describe a system for studying reassortment in the absence of segment mismatch and exploit this system to determine the baseline efficiency of reassortment and the effects of infection dose and timing. Silent mutations were introduced into A/Panama/2007/99 virus such that high-resolution melt analysis could be used to differentiate all eight segments of the wild-type and the silently mutated variant virus. The use of phenotypically identical parent viruses ensured that all progeny were equally fit, allowing reassortment to be measured without selection bias. Using this system, we found that reassortment occurred efficiently (88.4%) following high multiplicity infection, suggesting the process is not appreciably limited by intracellular compartmentalization. That co-infection is the major determinant of reassortment efficiency in the absence of segment mismatch was confirmed with the observation that the proportion of viruses with reassortant genotypes increased exponentially with the proportion of cells co-infected. The number of reassortants shed from co-infected guinea pigs was likewise dependent on dose. With 10⁶ PFU inocula, 46%-86% of viruses isolated from guinea pigs were reassortants. The introduction of a delay between infections also had a strong impact on reassortment and allowed definition of time windows during which super-infection led to reassortment in culture and in vivo. Overall, our results indicate that reassortment between two like influenza viruses is efficient but also strongly dependent on dose and timing of the infections.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 23785286 · DOI · PMC3681746
Double trouble: how co- and superinfections shape viral dynamics and host responses [4]
Abstract reading summary — source excerpts
- Opening excerpt
- Concurrent infection of humans by multiple distinct viruses is a common biological phenomenon with important consequences for virus-host interactions.
- Closing excerpt
- Finally, we also highlight key gaps in our understanding of viral interference and cooperation and discuss emerging approaches needed to define the spatiotemporal dynamics of coinfection in vivo.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (254 words)
Concurrent infection of humans by multiple distinct viruses is a common biological phenomenon with important consequences for virus-host interactions. While coinfection refers to the simultaneous infection of an individual or cell with two or more viruses, superinfection denotes the establishment of a secondary infection following a primary one, in which the initial infection influences the susceptibility, replication, or outcome of the secondary infection. Virus-virus interactions can be antagonistic, facilitative, dependent/assisted, or neutral. Antagonistic interactions include superinfection exclusion, whereby a primary virus prevents or restricts secondary infection of the same cell, securing access to host resources and stabilizing replication while limiting genetic and viral diversity. In contrast, facilitative viral interactions arise when one virus disrupts tissue barriers, suppresses immune responses, or remodels cellular pathways, thereby increasing susceptibility to additional viral infections. These interactions intersect with fundamental viral strategies, including the generation of genetically diverse RNA virus quasispecies that promote rapid adaptation and the deployment of DNA virus immunoevasins that interfere with antigen presentation and host immune recognition. While each of these processes has been extensively studied individually, their combined impact during coinfection remains poorly defined. In this review, we synthesize current knowledge on virus-virus interactions, viral diversity, and immune evasion in the context of multi-viral infections. We focus on how interactions at cellular and tissue levels shape infection outcomes, influence viral evolution, and contribute to virus-host coevolution. Finally, we also highlight key gaps in our understanding of viral interference and cooperation and discuss emerging approaches needed to define the spatiotemporal dynamics of coinfection in vivo.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42334213 · DOI · PMC13386837
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis [5]
- Research article Complications of viral influenza [6]
- Research article Proton pump inhibitor use and the risk of small intestinal bacterial overgrowth: a meta-analysis [7]
- Research article Influenza and Bacterial Superinfection: Illuminating the Immunologic Mechanisms of Disease [8]
- Research article Respiratory viruses predisposing to bacterial infections: role of neuraminidase [9]
- Research article Strongyloides hyperinfection syndrome: an emerging global infectious disease [10]
References
- Saade G, Deblanc C, Bougon J, Marois-Créhan C, Fablet C, Auray G, et al.. Coinfections and their molecular consequences in the porcine respiratory tract. . 2020. PMID 32546263 · DOI · PMC7296899
- Joubert DA, Walker T, Carrington LB, De Bruyne JT, Kien DH, Hoang Nle T, et al.. Establishment of a Wolbachia Superinfection in Aedes aegypti Mosquitoes as a Potential Approach for Future Resistance Management. . 2016. PMID 26891349 · DOI · PMC4758728
- Marshall N, Priyamvada L, Ende Z, Steel J, Lowen AC. Influenza virus reassortment occurs with high frequency in the absence of segment mismatch. . 2013. PMID 23785286 · DOI · PMC3681746
- Bermejo-Jambrina M, Paužuolis M, Kimpel J, Gerold G. Double trouble: how co- and superinfections shape viral dynamics and host responses. . 2026. PMID 42334213 · DOI · PMC13386837
- Musuuza JS, Watson L, Parmasad V, Putman-Buehler N, Christensen L, Safdar N. Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis. PLoS One. 2021. PMID 33956882 · DOI · PMC8101968
- Rothberg MB, Haessler SD, Brown RB. Complications of viral influenza. Am J Med. 2008. PMID 18374680 · DOI · PMC7172971
- Lo WK, Chan WW. Proton pump inhibitor use and the risk of small intestinal bacterial overgrowth: a meta-analysis. Clin Gastroenterol Hepatol. 2013. PMID 23270866 · DOI
- Rynda-Apple A, Robinson KM, Alcorn JF. Influenza and Bacterial Superinfection: Illuminating the Immunologic Mechanisms of Disease. Infect Immun. 2015. PMID 26216421 · DOI · PMC4567631
- Peltola VT, McCullers JA. Respiratory viruses predisposing to bacterial infections: role of neuraminidase. Pediatr Infect Dis J. 2004. PMID 14730275 · DOI
- Marcos LA, Terashima A, Dupont HL, Gotuzzo E. Strongyloides hyperinfection syndrome: an emerging global infectious disease. Trans R Soc Trop Med Hyg. 2008. PMID 18321548 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.