Revealing the hidden interplay: The unexplored relationship between fungi and viruses beyond HIV, SARS-CoV-2, and influenza.

The complex interaction between viruses and fungi has profound implications, especially given the significant impact of these microorganisms on human health. While well-known examples such as HIV, influenza, and SARS-CoV-2 are recognized as risk factors for invasive fungal diseases, the relationship between viruses and fungi remains largely underexplored outside of these cases. Fungi and viruses can engage in symbiotic or synergistic interactions. Remarkably, some viruses, known as mycoviruses, can directly infect fungi, may influencing their phenotype and potentially their virulence. In addition, viruses and fungi can coexist within the human microbiome, a complex ecosystem of microorganisms. Under certain conditions, viral infection might predispose the host to an invasive fungal infection, as observed with influenza-associated pulmonary aspergillosis or COVID-19 associated pulmonary aspergillosis. We aim in this review to highlight potential connections between fungi and viruses (CMV and other herpesviruses, HTLV-1 and respiratory viruses), excluding SARS-CoV-2 and influenza.

The link between invasive fungal diseases and certain viruses (HIV, SARS-CoV-2 and influenza) is now well established. For other viruses, however, the relationship remains uncertain. In this review, we aim to highlight associations between fungi and viruses, except HIV, SARS-CoV-2 and influenza.

Unmasking Bartonella henselae infection in the shadows of long COVID thanks to clinical metagenomics.

The diagnosis of long COVID often relies on symptoms post-COVID-19, occasionally lacking biological evidence. This case study illustrates how investigating long COVID uncovered an underlying bartonellosis through clinical metagenomics. Following mild COVID-19, a 26-year-old woman experienced persistent symptoms during 5 months, including axillary adenopathy. Pathological examination, 16 S rRNA PCR, and clinical metagenomic analysis were done on an adenopathy biopsy. The latter revealed Bartonella henselae DNA and RNA. Treatment with clarithromycin improved symptoms. This case underscores the relevance of clinical metagenomics in diagnosing hidden infections. Post-COVID symptoms warrant thorough investigation, and bartonellosis should be considered in polyadenopathy cases, regardless of a recent history of cat or flea exposures.

[Interests of clinical metagenomic in infectious diseases]. / Intérêts de la métagénomique clinique en infectiologie.

INTERESTS OF CLINICAL METAGENOMICS IN INFECTIOUS DISEASES. Clinical metagenomics (CM) is a cutting-edge molecular biology technique that is now a valuable diagnostic tool for microbiologists. It enables the detection of all microorganisms present in a sample, without any prior assumption or bias. The CM approach can be applied to various types of samples and involves multiple steps, such as extraction, library preparation, Next Generation Sequencing, and bioinformatics analysis. CM has been implemented in the diagnosis of various conditions, including infections of the central nervous system, respiratory, digestive, ocular, skin infection, and sepsis. Moreover, CM provides a comprehensive analysis of the microbiome present in the sample, microbial transcripts, and the host response in a single analysis. However, further studies are necessary to determine its place in the diagnostic algorithm. Besides diagnosis, CM has proven useful in identifying resistance to antimicrobial treatments and in epidemiology. Although the cost of CM is still higher than conventional methods, the emergence of more affordable sequencers and commercial tests will enable its implementation in a larger number of laboratories in the future.

INTÉRÊTS DE LA MÉTAGÉNOMIQUE CLINIQUE EN INFECTIOLOGIE. La métagénomique clinique (MgC) est un nouvel outil de biologie moléculaire dans l'arsenal diagnostique des microbiologistes. Elle permet de détecter sans a priori tous les micro-organismes présents. Utilisable sur tous types de prélèvements, elle nécessite plusieurs étapes (extraction, préparation des banques, séquençage par next generation sequencing, analyses bio-informatiques). Son utilisation en diagnostic a été décrite dans différentes pathologies (infections du système nerveux central, infections respiratoires, digestives, oculaires, cutanées et en cas de sepsis). En une seule analyse, la MgC permet également d'étudier le microbiome présent dans le prélèvement, d'analyser les transcrits microbiens et d'étudier la réponse de l'hôte. Sa place dans l'algorithme diagnostique doit faire l'objet d'études supplémentaires. En sus du diagnostic, la MgC a démontré son utilité dans la recherche de résistance aux traitements antimicrobiens, mais également en épidémiologie. Malgré les progrès visant à réduire les coûts, la MgC reste encore à l'heure actuelle plus coûteuse que les méthodes conventionnelles. La mise sur le marché de séquenceurs plus accessibles ainsi que le développement de tests commerciaux permettront l'utilisation de la MgC dans un plus grand nombre de laboratoires dans les années futures.

Automatic patient-level recognition of four Plasmodium species on thin blood smear by a real-time detection transformer (RT-DETR) object detection algorithm: a proof-of-concept and evaluation.

Malaria remains a global health problem, with 247 million cases and 619,000 deaths in 2021. Diagnosis of Plasmodium species is important for administering the appropriate treatment. The gold-standard diagnosis for accurate species identification remains the thin blood smear. Nevertheless, this method is time-consuming and requires highly skilled and trained microscopists. To overcome these issues, new diagnostic tools based on deep learning are emerging. This study aimed to evaluate the performances of a real-time detection transformer (RT-DETR) object detection algorithm to discriminate Plasmodium species on thin blood smear images. The algorithm was trained and validated on a data set consisting in 24,720 images from 475 thin blood smears corresponding to 2,002,597 labels. Performances were calculated with a test data set of 4,508 images from 170 smears corresponding to 358,825 labels coming from six French university hospitals. At the patient level, the RT-DETR algorithm exhibited an overall accuracy of 79.4% (135/170) with a recall of 74% (40/54) and 81.9% (95/116) for negative and positive smears, respectively. Among Plasmodium-positive smears, the global accuracy was 82.7% (91/110) with a recall of 90% (38/42), 81.8% (18/22), and 76.1% (35/46) for P. falciparum, P. malariae, and P. ovale/vivax, respectively. The RT-DETR model achieved a World Health Organization (WHO) competence level 2 for species identification. Besides, the RT-DETR algorithm may be run in real-time on low-cost devices such as a smartphone and could be suitable for deployment in low-resource setting areas lacking microscopy experts.IMPORTANCEMalaria remains a global health problem, with 247 million cases and 619,000 deaths in 2021. Diagnosis of Plasmodium species is important for administering the appropriate treatment. The gold-standard diagnosis for accurate species identification remains the thin blood smear. Nevertheless, this method is time-consuming and requires highly skilled and trained microscopists. To overcome these issues, new diagnostic tools based on deep learning are emerging. This study aimed to evaluate the performances of a real-time detection transformer (RT-DETR) object detection algorithm to discriminate Plasmodium species on thin blood smear images. Performances were calculated with a test data set of 4,508 images from 170 smears coming from six French university hospitals. The RT-DETR model achieved a World Health Organization (WHO) competence level 2 for species identification. Besides, the RT-DETR algorithm may be run in real-time on low-cost devices and could be suitable for deployment in low-resource setting areas.

Development and validation of a new quantitative reverse transcription PCR assay for the diagnosis of human sporotrichosis.

Sporotrichosis is an emergent public health problem. The mycological diagnosis of this infection is based on culture, which is fastidious and may represent a biohazard for technicians. Although not widely implemented in routine diagnosis, molecular methodologies are fast, have good accuracy, and can be easily standardized, aiding in the early diagnosis of neglected mycoses. This study aimed at implementing a new pan-Sporothrix quantitative reverse transcription PCR (RT-qPCR) assay, and then validating it on clinical samples from confirmed human sporotrichosis cases. A total of 68 human samples with culture-confirmed diagnosis of sporotrichosis were collected from 64 patients followed at a Brazilian reference center for endemic mycoses. These samples were submitted to whole nucleic acid extraction, followed by an RT-qPCR protocol. The limit of detection was 244 fg, the efficiency was 2.0 (100%), and the assay could amplify the genetic material of the three major clinically relevant species of the genus Sporothrix. Among the 68 samples analyzed, 62 were positive in RT-qPCR, showing an overall sensitivity of 91.18%, which variated according to the type of biological sample: 96.72% in skin samples (n = 61) and 100% in respiratory samples (n = 3), whereas all cerebrospinal fluid specimens (n = 4) were negative. The specificity was 100% when tested in 25 samples from patients with other mycoses and tuberculosis. In addition, DNA from 93 fungal species did not yield positive results, confirming the high specificity of this test. Our RT-qPCR presented high sensitivity and specificity, representing an excellent tool for a fast and reliable diagnosis of human sporotrichosis.

Sporotrichosis is a deep mycosis with limited laboratorial techniques for fast diagnosis. We developed an assay able to detect the genetic material of fungal agents of sporotrichosis, and validated it in human specimens from patients with this disease, obtaining high positivity and specificity.

Using gamification to improve engagement and learning outcomes in medical microbiology: the case study of 'BacteriaGame'.

The fight against antibiotic resistance has become a true global public health challenge of gargantuan proportions. Amongst the myriad of approaches being explored to tackle this predicament, one strategy involves enhancing prescriber knowledge and in particular their basic knowledge of medical bacteriology. Yet, as we well know in medical microbiology teachings, traditional lectures can be arduous, attempting to cram in a vast array of information in a limited time. An alternative solution to improve student engagement and enhance learning outcomes is to utilize educational games in complementary approach. Such games are an effective means of inspiring students to learn, encouraging self-assessment, and injecting diversity into the teaching process. To this end, we have developed and evaluated an educational card game, the 'BacteriaGame,' aimed at our medical students in medical bacteriology. Designed for students at the basic level, it serves as activity at the end of their apprenticeship to their bacteriology education. Additionally, it can also be used as a review tool by more advanced students, with teachers able to impart additional knowledge as the game progresses. We also use it in continuous training of medical laboratory staff. In this study, we evaluated the game at various stages of medical education, collecting feedback and analysing its impact on knowledge acquisition, comparing it to traditional lectures. Feedback from the majority of students revealed that the rules were clear, the game was enjoyable, and neither too lengthy nor too challenging. The integration of 'BacteriaGame' into their future training piqued their interest. In terms of learning outcomes, we discovered a significant increase in knowledge acquisition among those who used the game (P < .05). 'BacteriaGame' is now published by the French Society of Microbiology (SFM) and distributed in all medical and pharmacy schools thanks to a funding of the French Health Ministry. An English edition of the game is also available for international use as a physical copy to be purchased from the SFM. This will allow a large-scale distribution to colleagues who would like to use this game in their teaching.

Analytical Performance of the Commercial MucorGenius® Assay as Compared to an In-House qPCR Assay to Detect Mucorales DNA in Serum Specimens.

Standardized, reproducible and validated Mucorales quantitative PCR (qPCR) assays are needed in the context of routine testing in diagnostic labs. We, therefore, compared the commercial MucorGenius® assay (PathoNostics, Maastricht) targeting five genera of Mucorales to our in-house qPCR targeting Rhizomucor spp., Lichtheimia spp. and Mucor/Rhizopus spp. To assess their analytical sensitivity, 25 frozen leftover serum specimens, which had already tested positive based on our in-house assay, were selected. These sera were from 15 patients with probable or proven mucormycosis. For analytical specificity, 0.5 pg from 15 purified fungal DNAs from nine different Mucorales genera were spiked into pooled qPCR-negative leftover serum specimens. All samples were tested in parallel with both assays and the quantitative cycles (Cq) were compared. A total of 13/25 (52%) serum samples were amplified by one of the two assays with only four of them detected with the MucorGenius® assay. In spiked specimens, all targeted strains were successfully amplified by our in-house qPCR. The MucorGenius® assay was not able to detect Lichtheimiacorymbifera but successfully amplified all other species targeted by the kit and two additional non-targeted species (Syncephalastrummonosporum and Saksenaeavasiformis). The MucorGenius® assay showed lower analytical sensitivity compared to our in-house assay. Indeed, the MucorGenius® assay amplified more species, as expected, but showed a decreased detection of the frequent species Lichtheimiacorymbifera.

An Educational Game Evening for Medical Residents: A Proof of Concept to Evaluate the Impact on Learning of the Use of Games.

Insufficient knowledge of bacteria and antimicrobials leads to the emergence of multidrug-resistant-bacterium infections. Diversification of the teaching forms, such as the use of games, could be a solution. We organized an event around 3 games (Bacteria Game, KROBS, and Dawaa) to collect student feedback on the evening and assess their knowledge before and after the evening using multiple-choice questions. The preliminary results suggest a positive effect of this event, but due to the low number of participants, we see this report more as a proof of concept to assess the impact of games on the learning.

Interpretation of single target positivity among SARS-CoV-2 RT-PCR result tests.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) recently emerged and is responsible for coronavirus disease 19 (COVID-19). Diagnostic tests have been developed, mainly based on reverse-transcriptase PCR (RT-PCR). Most RT-PCR assays target at least two SARS-CoV-2 genes. In some cases, only one target gene is detected; the interpretation of such cases remains unclear. Objectives: Our objective was to analyse one target positive (OPT) RT-PCR results, using two RT-PCR assays: the Xpert® Xpress SARS-CoV-2 (Cepheid diagnosis, "Cepheid") and the Cobas® 6800 SARS-CoV-2 Test (Roche Molecular Diagnostics, "Roche"). Methods: All SARS-CoV-2 RT-PCR results performed on respiratory samples with the Roche or the Cepheid tests, from 23rd March to 6th August 2020 were collected. A patient with an OPT result was classified as "probable COVID-19" if they met at least one of the three following criteria: (i) history of a two gene-positive SARS-CoV-2 RT-PCR result, (ii) anti-SARS-CoV-2 antibody (IgG) detection or (iii) compatible chest computed tomography scan (CT-scan). Results: A total of 18,630 and 1189 SARS-CoV-2 RT-PCR tests were performed with the Roche and Cepheid tests, respectively. Among the positive SARS-CoV-2 RT-PCR, 293 samples - corresponding to 264 patients - were OPT (11% of the positive samples). Of these patients, 180 (68%) had at least one of the three criteria listed above and were classified as probable COVID-19. Conclusions: Sixty-eight percent of the patients with an OPT result were classified as probable COVID-19 and are probably at a late stage of infection. Serology and imaging can be helpful to confirm diagnosis.

Recovery of a triazole-resistant Aspergillus fumigatus in respiratory specimen of COVID-19 patient in ICU - A case report.

Although invasive pulmonary aspergillosis (IPA) is typically described in immunocompromised host, patient with severe influenzae can develop IPA. Similarly, patients with severe COVID-19 complicated with IPA are increasingly reported. Here, we describe a case of invasive aspergillosis with triazole-resistant A. fumigatus (TR34/L98H mutation) in a 56-year-old patient with COVID-19 in intensive care unit. This report highlights the need to define the available tools for diagnosis of invasive aspergillosis in severe COVID-19 patients.

Risk factors associated with COVID-19-associated pulmonary aspergillosis in ICU patients: a French multicentric retrospective cohort.

OBJECTIVES: The main objective of this study was to determine the incidence of invasive pulmonary aspergillosis (IPA) in patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit (ICU), and to describe the patient characteristics associated with IPA occurrence and to evaluate its impact on prognosis. METHODS: We conducted a retrospective cohort study including all successive COVID-19 patients, hospitalized in four ICUs, with secondary deterioration and one or more respiratory samples sent to the mycology department. We used a strengthened IPA testing strategy including seven mycological criteria. Patients were classified as probable IPA according to the European Organization for Research and Treatment of Cancer (EORTC)/Mycoses Study Group Education and Research Consortium (MSGERC) classification if immunocompromised, and according to the recent COVID-19-associated IPA classification otherwise. RESULTS: Probable IPA was diagnosed in 21 out of the 366 COVID-19 patients (5.7%) admitted to the ICU and in the 108 patients (19.4%) who underwent respiratory sampling for deterioration. No significant differences were observed between patients with and without IPA regarding age, gender, medical history and severity on admission and during hospitalization. Treatment with azithromycin for ≥3 days was associated with the diagnosis of probable IPA (odds ratio 3.1, 95% confidence interval 1.1-8.5, p = 0.02). A trend was observed with high-dose dexamethasone and the occurrence of IPA. Overall mortality was higher in the IPA patients (15/21, 71.4% versus 32/87, 36.8%, p < 0.01). CONCLUSION: IPA is a relatively frequent complication in severe COVID-19 patients and is responsible for increased mortality. Azithromycin, known to have immunomodulatory properties, may contribute to increase COVID-19 patient's susceptibility to IPA.

Entamoeba histolytica DNA Detection in Serum from Patients with Suspected Amoebic Liver Abscess.

Amoebic liver abscess (ALA) is regularly seen in travelers or immigrants from tropical countries. The diagnosis relies on liver imaging that is not specific and on the detection of anti-Entamoeba histolytica antibodies, which cannot distinguish an acute from a former infection. We tested whether E. histolytica DNA detection in serum can improve the diagnosis of ALA. We retrospectively tested available serum samples taken from patients with ALA and non-ALA space-occupying lesions of the liver between 1 January 2010 and 30 November 2019. The quantitative PCR (qPCR) assay tested specifically amplifies a 99-bp fragment of the small-subunit rRNA gene of E. histolytica We analyzed 76 samples (19 ALA and 57 non-ALA samples) collected from 76 patients within 6 days before and after the antiamoebic treatment. Serum qPCR results were positive for 17 of 19 ALA patients and for none of the control patients (sensitivity and specificity were 89.5% and 100%, respectively). In parallel, the sensitivity and specificity of anti-E. histolytica antibody detection were 100% and 89.5%, respectively. The two false-negative qPCR results may be explained by ongoing metronidazole treatment or a possible persistent seropositivity that was not caused by the current liver abscess. Additionally, of 12 abscess pus aspirates (5 from ALA and 7 from non-ALA samples) tested, 5 were qPCR positive and 7 were qPCR negative, with concordant results in serum. This study demonstrates that cell-free circulating E. histolytica DNA can be detected in serum in ALA. This may assist in both positive diagnoses and treatment efficacy follow-up. The origin of this circulating DNA remains to be investigated.