Evidence map›Paper›PMID 42895611›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Molecular detection of Streptococcus Sp. isolated from the mouth and nose of humans and pets.

Hassan F Mohammed, Ibrahim M Kamal, Ban S Al-Nasiry, Nadir F Habubi

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hassan F MohammedZoonosis Diseases Research Unit, College of Veterinary Medicine, University of Baghdad, Baghdad, Iraq. hasan.falaah1204e@covm.uobaghdad.edu.iq.
Ibrahim M KamalCollege of Medicine, University of Baghdad, Baghdad, Iraq.
Ban S Al-NasiryZoonosis Diseases Research Unit, College of Veterinary Medicine, University of Baghdad, Baghdad, Iraq.
Nadir F HabubiDepartment of Radiology Technologies, Alnukhba University College, Baghdad, 10013, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several streptococcal species traverse the human-animal-environment interface, positioning them as particularly compelling subjects for One Health research. In contrast to strictly host-adapted pathogens, these species are observed to circulate among livestock, companion animals, aquaculture, and the broader environment, exhibiting demonstrable transmission to human populations. In this study, 200 swabs were collected from humans and animals (100 nasal and oral swabs were tested bacteriologically from individuals with respiratory infections and gastrointestinal illnesses of all genders and ages. 100 swabs were collected from pets (dogs and cats) of both genders and various ages. Various respiratory symptoms were tested to isolate and characterize the bacterial causes of respiratory infections and to identify bacteria that can infect both humans and their pets. Finally, the results were confirmed by primary culture media, the Vitk 2 system, and 16 S rRNA. The results of bacterial isolation from the human nose showed the presence of six streptococcal isolates, classified into three types: S. thoraltensis (3, 50%), followed by S. anginosus (2, 33.33%), and finally S. alactolyticus (1, 16.66%). Moreover, the results from the human mouth showed the existence of 15 streptococcal isolates, divided into four types: S. salivarius (5, 33.33%), followed by S. thoraltensis (4, 26.66%), then S. alactolyticus and S. parasanguinis (3, 20%). At the same time, the results from the dog nose showed the presence of four streptococcal isolates, classified into three types: S. anginosus (2, 50%), followed by S. thoraltensis and S. alactolyticus (1, 25%). The results from the dog oral samples showed the presence of 16 streptococcal isolates, divided into four types: S. salivarius (6, 37.5%), S. alactolyticus (4, 25%), and S. thoraltensis and S. parasanguinis (3, 18.75%). Moreover, the cat nose results showed the presence of three streptococcal isolates, all classified as S. anginosus (100%). The results from the cat oral swab showed the presence of 8 streptococcal isolates, divided into four types: S. thoraltensis (3; 37.5%), S. parasanguinis and S. alactolyticus (2; 25%), and S. salivarius (1; 12.5%). Additionally, the identification of 6 Streptococcus sp. strains was confirmed using the 16 S rRNA gene.

Indexed as

MouthNosePetsStreptococcal InfectionsStreptococcusAnimalsCatsDNA, BacterialDogsFemaleHumansMalePhylogenyRespiratory Tract InfectionsRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SCatsDogsHumanMolecular detectionMouthNoseStreptococcus Spp.

Identifiers

PMID42895611
PMCPMC13680599

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.