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Opportunistic Infections

Infectious Diseases · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

An infection caused by an organism which becomes pathogenic under certain conditions, e.g., during immunosuppression.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

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 (976 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

An infection caused by an organism which becomes pathogenic under certain conditions, e.g., during immunosuppression.

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: Infection, Opportunistic; Infections, Opportunistic; Opportunistic Infection.

Where it fits in the MeSH classification

Broader topics
Infections
Narrower topics
AIDS-Related Opportunistic Infections; Superinfection

Research landscape

PubMed indexes 36,555 records tagged with the MeSH heading “Opportunistic Infections” (counts retrieved 2026-10-29). 1,973 of them (5.4%) were published from 2020 onward, and the busiest period so far is through 1999 with 16,752 records.

Reviews account for 7,821 records (21.4%) and meta-analyses for 166. Randomized controlled trials number 883 (2.4%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 16,752 records; 2000-2009: 10,579 records; 2010-2019: 7,251 records; 2020 onward: 1,973 records16,752through 199910,5792000-20097,2512010-20191,9732020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199916,752
2000-200910,579
2010-20197,251
2020 onward1,973
Share of records by publication typeReviews: 21.4 percent; Meta-analyses: 0.5 percent; Randomized controlled trials: 2.4 percentReviews21.4% (7,821)Meta-analyses0.5% (166)Randomized controlled trials2.4% (883)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 36,555 PubMed records
TypeRecordsShare
Reviews7,82121.4%
Meta-analyses1660.5%
Randomized controlled trials8832.4%

Method: PubMed query "Opportunistic Infections"[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 comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Understanding the mechanisms of viral and bacterial coinfections in bovine respiratory disease: a comprehensive literature review of experimental evidence
Gaudino M, Nagamine B, Ducatez MF, Meyer G
2022Review article
Design not recorded in structured metadata
103cc by
PMID 36068558 · DOI · PMC9449274
Structural basis for host recognition and superinfection exclusion by bacteriophage T5
van den Berg B, Silale A, Baslé A, Brandner AF, Mader SL, Khalid S
2022Research article
Design not recorded in structured metadata
51cc by
PMID 36215462 · DOI · PMC9586334
Superinfection exclusion creates spatially distinct influenza virus populations
Sims A, Tornaletti LB, Jasim S, Pirillo C, Devlin R, Hirst JC, et al.
2023Research article
Design not recorded in structured metadata
40cc by
PMID 36757937 · DOI · PMC9910727
Cerebral toxoplasmosis in the twenty-first century
van Deuzen CM, Rijnders BJA, Bax HI, Rokx C, de Vries-Sluijs TEMS, Schurink CAM, et al.
2026Research article
Design not recorded in structured metadata
1cc by
PMID 40985660 · DOI · PMC12746774

Understanding the mechanisms of viral and bacterial coinfections in bovine respiratory disease: a comprehensive literature review of experimental evidence [1]

Review article Gaudino M, Nagamine B, Ducatez MF, Meyer G · · 2022 · cited 103 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Bovine respiratory disease (BRD) is one of the most important diseases impacting the global cattle industry, resulting in significant economic loss.
Closing excerpt
Therefore, different scenarios of pathogen dynamics could be hypothesized for BRD onset which are not limited to a primary viral infection followed by a secondary bacterial superinfection.
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 (317 words)

Bovine respiratory disease (BRD) is one of the most important diseases impacting the global cattle industry, resulting in significant economic loss. Commonly referred to as shipping fever, BRD is especially concerning for young calves during transport when they are most susceptible to developing disease. Despite years of extensive study, managing BRD remains challenging as its aetiology involves complex interactions between pathogens, environmental and host factors. While at the beginning of the twentieth century, scientists believed that BRD was only caused by bacterial infections ("bovine pasteurellosis"), we now know that viruses play a key role in BRD induction. Mixtures of pathogenic bacteria and viruses are frequently isolated from respiratory secretions of animals with respiratory illness. The increased diagnostic screening data has changed our understanding of pathogens contributing to BRD development. In this review, we aim to comprehensively examine experimental evidence from all existing studies performed to understand coinfections between respiratory pathogens in cattle. Despite the fact that pneumonia has not always been successfully reproduced by in vivo calf modelling, several studies attempted to investigate the clinical significance of interactions between different pathogens. The most studied model of pneumonia induction has been reproduced by a primary viral infection followed by a secondary bacterial superinfection, with strong evidence suggesting this could potentially be one of the most common scenarios during BRD onset. Different in vitro studies indicated that viral priming may increase bacterial adherence and colonization of the respiratory tract, suggesting a possible mechanism underpinning bronchopneumonia onset in cattle. In addition, a few in vivo studies on viral coinfections and bacterial coinfections demonstrated that a primary viral infection could also increase the pathogenicity of a secondary viral infection and, similarly, dual infections with two bacterial pathogens could increase the severity of BRD lesions. Therefore, different scenarios of pathogen dynamics could be hypothesized for BRD onset which are not limited to a primary viral infection followed by a secondary bacterial superinfection.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36068558 · DOI · PMC9449274

Structural basis for host recognition and superinfection exclusion by bacteriophage T5 [2]

Research article van den Berg B, Silale A, Baslé A, Brandner AF, Mader SL, Khalid S · · 2022 · cited 51 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
A key but poorly understood stage of the bacteriophage life cycle is the binding of phage receptor-binding proteins (RBPs) to receptors on the host cell surface, leading to injection of the phage genome and, for lytic phages, host cell lysis.
Closing excerpt
The inward-folded loops of FhuA overlap with the pb5 binding site, explaining how Llp binding to FhuA abolishes further infection of Escherichia coli by phage T5 and suggesting a mechanism for SE via the jamming of TonB-dependent transporters by small phage lipoproteins.
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 (233 words)

A key but poorly understood stage of the bacteriophage life cycle is the binding of phage receptor-binding proteins (RBPs) to receptors on the host cell surface, leading to injection of the phage genome and, for lytic phages, host cell lysis. To prevent secondary infection by the same or a closely related phage and nonproductive phage adsorption to lysed cell fragments, superinfection exclusion (SE) proteins can prevent the binding of RBPs via modulation of the host receptor structure in ways that are also unclear. Here, we present the cryogenic electron microscopy (cryo-EM) structure of the phage T5 outer membrane (OM) receptor FhuA in complex with the T5 RBP pb5, and the crystal structure of FhuA complexed to the OM SE lipoprotein Llp. Pb5 inserts four loops deeply into the extracellular lumen of FhuA and contacts the plug but does not cause any conformational changes in the receptor, supporting the view that DNA translocation does not occur through the lumen of OM channels. The FhuA-Llp structure reveals that Llp is periplasmic and binds to a nonnative conformation of the plug of FhuA, causing the inward folding of two extracellular loops via "reverse" allostery. The inward-folded loops of FhuA overlap with the pb5 binding site, explaining how Llp binding to FhuA abolishes further infection of Escherichia coli by phage T5 and suggesting a mechanism for SE via the jamming of TonB-dependent transporters by small phage lipoproteins.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36215462 · DOI · PMC9586334

Superinfection exclusion creates spatially distinct influenza virus populations [3]

Research article Sims A, Tornaletti LB, Jasim S, Pirillo C, Devlin R, Hirst JC, et al. · · 2023 · cited 40 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Interactions between viruses during coinfections can influence viral fitness and population diversity, as seen in the generation of reassortant pandemic influenza A virus (IAV) strains.
Closing excerpt
We conclude that the kinetics of SIE onset segregate spreading viral infections into discrete regions, within which interactions between virus populations can occur freely, and between which they are blocked.
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 (276 words)

Interactions between viruses during coinfections can influence viral fitness and population diversity, as seen in the generation of reassortant pandemic influenza A virus (IAV) strains. However, opportunities for interactions between closely related viruses are limited by a process known as superinfection exclusion (SIE), which blocks coinfection shortly after primary infection. Using IAVs, we asked whether SIE, an effect which occurs at the level of individual cells, could limit interactions between populations of viruses as they spread across multiple cells within a host. To address this, we first measured the kinetics of SIE in individual cells by infecting them sequentially with 2 isogenic IAVs, each encoding a different fluorophore. By varying the interval between addition of the 2 IAVs, we showed that early in infection SIE does not prevent coinfection, but that after this initial lag phase the potential for coinfection decreases exponentially. We then asked how the kinetics of SIE onset controlled coinfections as IAVs spread asynchronously across monolayers of cells. We observed that viruses at individual coinfected foci continued to coinfect cells as they spread, because all new infections were of cells that had not yet established SIE. In contrast, viruses spreading towards each other from separately infected foci could only establish minimal regions of coinfection before reaching cells where coinfection was blocked. This created a pattern of separate foci of infection, which was recapitulated in the lungs of infected mice, and which is likely to be applicable to many other viruses that induce SIE. We conclude that the kinetics of SIE onset segregate spreading viral infections into discrete regions, within which interactions between virus populations can occur freely, and between which they are blocked.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36757937 · DOI · PMC9910727

Cerebral toxoplasmosis in the twenty-first century [4]

Research article van Deuzen CM, Rijnders BJA, Bax HI, Rokx C, de Vries-Sluijs TEMS, Schurink CAM, et al. · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundCerebral toxoplasmosis is a common opportunistic infection in people with HIV (PWH), associated with high morbidity and mortality.
Closing excerpt
If treated correctly and timely, overall survival is high.
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 (150 words)

BackgroundCerebral toxoplasmosis is a common opportunistic infection in people with HIV (PWH), associated with high morbidity and mortality. It is unclear how clinical characteristics, treatment response and long-term clinical outcomes in PWH with cerebral toxoplasmosis have changed due to improved treatment of HIV.MethodsThis single-centre retrospective observational cohort study of PWH with cerebral toxoplasmosis included patients over almost 25 years.ResultsSixty-three eligible patients were identified. Most patients were late presenters presenting with headache and neurological symptoms. Overall survival was 79% over a mean follow up of 15 years. Seventy-three percent of deaths occurred within the first year after diagnosis. Almost 10% of patients experienced residual impairments.ConclusionAn earlier diagnosis of HIV reduces the incidence of cerebral toxoplasmosis due to timely initiation of combination antiretroviral therapy (cART) and anti- Toxoplasma prophylaxis. High index of suspicion by clinicians is vital to timely start anti- Toxoplasma therapy. If treated correctly and timely, overall survival is high.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40985660 · DOI · PMC12746774

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 Antibiotic resistance in Pseudomonas aeruginosa - Mechanisms, epidemiology and evolution [5]
    Botelho J, Grosso F, Peixe L · Drug Resist Updat · 2019 · cited 391 times (Europe PMC)
  • Research article Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis [6]
    Musuuza JS, Watson L, Parmasad V, Putman-Buehler N, Christensen L, Safdar N · PLoS One · 2021 · cited 390 times (Europe PMC)
  • Research article ECCO Guidelines on the Prevention, Diagnosis, and Management of Infections in Inflammatory Bowel Disease [7]
    Kucharzik T, Ellul P, Greuter T, Rahier JF, Verstockt B, Abreu C, et al. · J Crohns Colitis · 2021 · cited 379 times (Europe PMC)
  • Research article Fungal infections in HIV/AIDS [8]
    Limper AH, Adenis A, Le T, Harrison TS · Lancet Infect Dis · 2017 · cited 346 times (Europe PMC)
  • Research article Proton pump inhibitor use and the risk of small intestinal bacterial overgrowth: a meta-analysis [9]
    Lo WK, Chan WW · Clin Gastroenterol Hepatol · 2013 · cited 251 times (Europe PMC)
  • Research article Causes of hospital admission among people living with HIV worldwide: a systematic review and meta-analysis [10]
    Ford N, Shubber Z, Meintjes G, Grinsztejn B, Eholie S, Mills EJ, et al. · Lancet HIV · 2015 · cited 242 times (Europe PMC)

References

  1. Gaudino M, Nagamine B, Ducatez MF, Meyer G. Understanding the mechanisms of viral and bacterial coinfections in bovine respiratory disease: a comprehensive literature review of experimental evidence. . 2022. PMID 36068558 · DOI · PMC9449274
  2. van den Berg B, Silale A, Baslé A, Brandner AF, Mader SL, Khalid S. Structural basis for host recognition and superinfection exclusion by bacteriophage T5. . 2022. PMID 36215462 · DOI · PMC9586334
  3. Sims A, Tornaletti LB, Jasim S, Pirillo C, Devlin R, Hirst JC, et al.. Superinfection exclusion creates spatially distinct influenza virus populations. . 2023. PMID 36757937 · DOI · PMC9910727
  4. van Deuzen CM, Rijnders BJA, Bax HI, Rokx C, de Vries-Sluijs TEMS, Schurink CAM, et al.. Cerebral toxoplasmosis in the twenty-first century. . 2026. PMID 40985660 · DOI · PMC12746774
  5. Botelho J, Grosso F, Peixe L. Antibiotic resistance in Pseudomonas aeruginosa - Mechanisms, epidemiology and evolution. Drug Resist Updat. 2019. PMID 31492517 · DOI
  6. 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
  7. Kucharzik T, Ellul P, Greuter T, Rahier JF, Verstockt B, Abreu C, et al.. ECCO Guidelines on the Prevention, Diagnosis, and Management of Infections in Inflammatory Bowel Disease. J Crohns Colitis. 2021. PMID 33730753 · DOI
  8. Limper AH, Adenis A, Le T, Harrison TS. Fungal infections in HIV/AIDS. Lancet Infect Dis. 2017. PMID 28774701 · DOI
  9. 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
  10. Ford N, Shubber Z, Meintjes G, Grinsztejn B, Eholie S, Mills EJ, et al.. Causes of hospital admission among people living with HIV worldwide: a systematic review and meta-analysis. Lancet HIV. 2015. PMID 26423651 · 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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At a glance

36,555
PubMed records on this heading
5%
published since 2020
7,821
review articles
883
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

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