Contribution of MALDI-TOF mass spectrometry and machine learning including deep learning techniques for the detection of virulence factors of Clostridioides difficile strains.

Clostridioides difficile (CD) infections are defined by toxins A (TcdA) and B (TcdB) along with the binary toxin (CDT). The emergence of the 'hypervirulent' (Hv) strain PR 027, along with PR 176 and 181, two decades ago, reshaped CD infection epidemiology in Europe. This study assessed MALDI-TOF mass spectrometry (MALDI-TOF MS) combined with machine learning (ML) and Deep Learning (DL) to identify toxigenic strains (producing TcdA, TcdB with or without CDT) and Hv strains. In total, 201 CD strains were analysed, comprising 151 toxigenic (24 ToxA+B+CDT+, 22 ToxA+B+CDT+ Hv+ and 105 ToxA+B+CDT-) and 50 non-toxigenic (ToxA-B-) strains. The DL-based classifier exhibited a 0.95 negative predictive value for excluding ToxA-B- strains, showcasing accuracy in identifying this strain category. Sensitivity in correctly identifying ToxA+B+CDT- strains ranged from 0.68 to 0.91. Additionally, all classifiers consistently demonstrated high specificity (>0.96) in detecting ToxA+B+CDT+ strains. The classifiers' performances for Hv strain detection were linked to high specificity (≥0.96). This study highlights MALDI-TOF MS enhanced by ML techniques as a rapid and cost-effective tool for identifying CD strain virulence factors. Our results brought a proof-of-concept concerning the ability of MALDI-TOF MS coupled with ML techniques to detect virulence factor and potentially improve the outbreak's management.

Successful rescue TNF-α blocking for Mycobacterium genavense - Related immune reconstitution inflammatory syndrome: A case report.

Immune reconstitution inflammatory syndrome (IRIS) has been reported in immunocompromised patients with disseminated Mycobacterium genavense. Management relies on high-dose corticosteroids. We describe two cases of late-onset corticosteroid-refractory IRIS related to disseminated infection in a HIV-positive patient and a renal transplant patient who had a favorable outcome with a monoclonal TNF-α blocker.

[Advances in antibiotic therapy for tuberculosis]. / Avancées dans l'antibiothérapie de la tuberculose.

ADVANCES IN ANTIBIOTIC THERAPY FOR TUBERCULOSIS. Treatment of tuberculosis is experiencing significant advancements. For the first time, a therapeutic regimen based on rifapentine and moxifloxacin allows for a reduction of treatment duration of drug-susceptible tuberculosis from 6 to 4 months. Regarding multidrug-resistant tuberculosis, combinations of new antituberculosis drugs (bedaquiline, linezolid, delamanid/pretomanid, moxifloxacin) have the potential to reduce the treatment duration from 20 to 6 months. Additionally, considering the extent of anatomical involvement and bacterial burden allows for strategies that involve variable treatment durations based on the severity of the disease. The new tuberculosis treatments thus appear to be shorter and more personalized.

AVANCÉES DANS L'ANTIBIOTHÉRAPIE DE LA TUBERCULOSE. Le traitement de la tuberculose connaît de grandes avancées. Pour la première fois, un protocole thérapeutique à base de rifapentine et moxifloxacine permet de réduire de six à quatre mois la durée du traitement des tuberculoses à bacilles sensibles. S'agissant des tuberculoses à bacilles multirésistants, des combinaisons de nouveaux antituberculeux (bédaquiline, linézolide, délamanide-prétomanide, moxifloxacine) permettent de réduire de vingt à six mois la durée du traitement. Enfin, la prise en compte de l'importance de l'atteinte anatomique et de la charge bacillaire permet d'envisager des stratégies incluant des durées de traitement variables selon l'importance de l'atteinte. Les nouveaux traitements de la tuberculose apparaissent donc plus courts et plus personnalisés.

Mycobacterium avium complex pulmonary disease patients with limited treatment options.

How to identify MAC-PD patients with limited treatment options: an expert consensus https://bit.ly/3QwLQ8T.