Bacteraemia due to<i>Parvimonas micra</i>, a commensal pathogen, in a patient with an oesophageal tumour

Carretero, Rafael; Luna-Heredia, Esther; Olid-Velilla, M.; Vázquez-Gómez, Óscar

doi:10.1136/bcr-2016-217740

Cited by 15 publications

(12 citation statements)

References 12 publications

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“…7 out of the 11 enriched species ( P. micra, S. moorei, P. stomatis, H. parainfluenzae, C. gracilis, P. oris, and P. oralis ) were oral-related. P. micra, an oral-related pathogen which can cause a broad range of infections in humans ( Carretero et al, 2016 ; Shinha and Caine, 2016 ), was enriched in P1 both from the Kostic and the Hale datasets. The relative abundance of Clostridiales and Bacteroidales in P0 subtype were higher than that in P1 subtype.…”

Section: Resultsmentioning

confidence: 99%

Colorectal Cancer-Associated Microbiome Patterns and Signatures

2021

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The gut microbiome is dynamic and shaped by diet, age, geography, and environment. The disruption of normal gut microbiota (dysbiosis) is closely related to colorectal cancer (CRC) risk and progression. To better identify and characterize CRC-associated dysbiosis, we collected six independent cohorts with matched normal pairs (when available) for comparison and exploration of the microbiota and their interactions with the host. Comparing the microbial community compositions between cancerous and adjacent noncancerous tissues, we found that more microbes were depleted than enriched in tumors. Despite taxonomic variations among cohorts, consistent depletion of normal microbiota (members of Clostridia and Bacteroidia) and significant enrichment of oral-originated pathogens (such as Fusobacterium nucleatum and Parvimonas micra) were observed in CRC compared to normal tissues. Sets of hub and hub-connecting microbes were subsequently identified to infer microbe-microbe interaction networks in CRC. Furthermore, biclustering was used for identifying coherent patterns between patients and microbes. Two patient-microbe interaction patterns, named P0 and P1, can be consistently identified among the investigated six CRC cohorts. Characterization of the microbial community composition of the two patterns revealed that patients in P0 and P1 differed significantly in microbial alpha and beta diversity, and CRC‐associated microbiota changes consist of continuous populations of widespread taxa rather than discrete enterotypes. In contrast to the P0, the patients in P1 have reduced microbial alpha diversity compared to the adjacent normal tissues, and P1 possesses more oral-related pathogens than P0 and controls. Collectively, our study investigated the CRC-associated microbiome changes, and identified reproducible microbial signatures across multiple independent cohorts. More importantly, we revealed that the CRC heterogeneity can be partially attributed to the variety and compositional differences of microbes and their interactions to humans.

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Section: Resultsmentioning

confidence: 99%

Colorectal Cancer-Associated Microbiome Patterns and Signatures

2021

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“…As the presenting symptoms in these patients were non-specific (e.g., fever, shake, and chills), thorough searches for the primary source of bacteremia may not have been carefully conducted in these 9 cases. In 27 literature cases, P. micra bacteremia were also frequently associated with oropharyngeal infection (7/27, 25.9%) and GIT infection (3/27, 11.1%) [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Other common infectious diseases of P. micra in the literature cases were spondylodiscitis (8/27, 29.6%), intra-abdominal abscess (4/27, 14.8%), IE (3.27, 11.1%), and septic pulmonary emboli (3/27, 11.1%) which is inconsistent with our results.…”

Section: Discussionmentioning

confidence: 99%

Clinical characteristics of bloodstream infection by Parvimonas micra: retrospective case series and literature review

et al. 2020

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Background: Gram-positive anaerobic (GPA) bacteria inhabit different parts of the human body as commensals but can also cause bacteremia. In this retrospective observational study, we analyzed GPA bacteremia pathogens before (2013-2015) and after (2016-2018) the introduction of the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Method: We conducted a retrospective observational study by searching the microbiology database to identify all positive GPA blood cultures of patients with GPA bacteremia diagnosed using the new technique, MALDI-TOF MS,

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“…P. micra is not a dominant bacterium in an aerobic environment, and there have been multiple case reports on P. micra -related abdominal infection [ 1 – 3 , 6 , 7 ], spondylodiscitis [ 8 , 9 ], intracranial infection [ 2 , 10 , 11 ] and bloodstream infection [ 12 – 15 ], but we did not find any case reports describing severe pneumonia caused by P. micra. On the other hand, we noticed that P. micra could cause deep infection in the elderly patients or patients who have undergone surgery and cancer therapy exist [ 11 , 12 , 14 , 16 ], indicating that immune insufficiency and postoperative stress could be risk factors for this infection. Our patient had no history of immune insufficiency or cancer, so we suspected that stress after surgery was the main risk factor for this atypical pneumonia.…”

Section: Discussionmentioning

confidence: 78%

Severe pneumonia caused by Parvimonas micra: a case report

Sun

et al. 2021

BMC Infect Dis

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Background Parvimonas micra (P. micra) is a gram-positive anaerobic coccus that is detected widely on the skin, in the oral mucosa and in the gastrointestinal tract. In certain circumstances, P. micra can cause abdominal abscesses, bacteraemia and other infections. To the best of our knowledge, there have been no case reports describing the biological characteristics of P. micra-related pneumonia. These bacteria do not always multiply in an aerobic organ, such as the lung, and they could be easily overlooked because of the clinical mindset. Case presentation A 35-year-old pregnant woman was admitted to the emergency department 4 weeks prior to her due date who was exhibiting 5 points on the Glasgow coma scale. A computed tomography (CT) scan showed a massive haemorrhage in her left basal ganglia. She underwent a caesarean section and brain surgery before being admitted to the ICU. She soon developed severe pneumonia and hypoxemia. Given that multiple sputum cultures were negative, the patient’s bronchoalveolar lavage fluid was submitted for next-generation sequencing (NGS) to determine the pathogen responsible for the pneumonia; as a result, P. micra was determined to be the causative pathogen. Accordingly the antibiotic therapy was altered and the pneumonia improved. Conclusion In this case, we demonstrated severe pneumonia caused by the anaerobic organism P. micra, and the patient benefited from receiving the correct antibiotic. NGS was used as a method of quick diagnosis when sputum culture failed to distinguish the pathogen.

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Bacteraemia due toParvimonas micra, a commensal pathogen, in a patient with an oesophageal tumour

Cited by 15 publications

References 12 publications

Colorectal Cancer-Associated Microbiome Patterns and Signatures

Colorectal Cancer-Associated Microbiome Patterns and Signatures

Clinical characteristics of bloodstream infection by Parvimonas micra: retrospective case series and literature review

Severe pneumonia caused by Parvimonas micra: a case report

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