Acute respiratory distress syndrome is a common complication of severe viral pneumonia, such as influenza and COVID‐19, that requires critical care including ventilatory support, use of corticosteroids and other adjunctive therapies to arrest the attendant massive airways inflammation. Although recommended for the treatment of viral pneumonia, steroid therapy appears to be a double‐edged sword, predisposing patients to secondary bacterial and invasive fungal infections (IFIs) whereby impacting morbidity and mortality. Mucormycosis is a fungal emergency with a highly aggressive tendency for contiguous spread, associated with a poor prognosis if not promptly diagnosed and managed. Classically, uncontrolled diabetes mellitus (DM) and other immunosuppressive conditions including corticosteroid therapy are known risk factors for mucormycosis. Upon the background lung pathology, immune dysfunction and corticosteroid therapy, patients with severe viral pneumonia are likely to develop IFIs like aspergillosis and mucormycosis. Notably, the combination of steroid therapy and DM can augment immunosuppression and hyperglycaemia, increasing the risk of mucormycosis in a susceptible individual. Here, we report a case of sinonasal mucormycosis in a 44‐year‐old woman with hyperglycaemia secondary to poorly controlled diabetes following dexamethasone therapy on a background of influenza pneumonia and review 15 available literatures on reported cases of influenza and COVID‐19 associated mucormycosis.
Background Emergence of coronavirus disease 2019 (COVID‐19) is a major healthcare threat. Apparently, the novel coronavirus (SARS‐CoV‐2) is armed by special abilities to spread and dysregulate the immune mechanisms. The likelihood of oropharyngeal candidiasis (OPC) development in COVID‐19 patients with a list of attributable risk factors for oral infections has not yet been investigated. Objectives We here aim to investigate the prevalence, causative agents, and antifungal susceptibility pattern of OPC in Iranian COVID‐19 patients. Patients and Methods A total of 53 hospitalized COVID‐19 patients with OPC were studied. Relevant clinical data were mined. Strain identification was performed by 21‐plex PCR and sequencing of the internal transcribed spacer region (ITS1‐5.8S‐ITS2). Antifungal susceptibility testing to fluconazole, itraconazole, voriconazole, amphotericin B, caspofungin, micafungin and anidulafungin was performed according to the CLSI broth dilution method. Results In 53 COVID‐19 patients with OPC, cardiovascular diseases (52.83 %), and diabetes (37.7 %) were the principal underlying conditions. The most common risk factor was lymphopenia (71%). In total, 65 Candida isolates causing OPC were recovered. C. albicans (70.7%) was the most common, followed by C. glabrata (10.7%), C. dubliniensis (9.2%), C. parapsilosis sensu stricto (4.6%), C. tropicalis (3%), and Pichia kudriavzevii (= C. krusei , 1.5%). Majority of the Candida isolates were susceptible to all three classes of antifungal drugs. Conclusion Our data clarified some concerns regarding the occurrence of OPC in Iranian COVID‐19 patients. Further studies should be conducted to design an appropriate prophylaxis program and improve management of OPC in critically ill COVID‐19 patients.
The objective of this study was to assess the activity of the novel triazole antifungal drug, efinaconazole, and five comparators (luliconazole, lanoconazole, terbinafine, itraconazole, and fluconazole) against a large collection of and clinical isolates. The geometric mean MICs were the lowest for luliconazole (0.0005 μg/ml), followed by lanoconazole (0.002 μg/ml), efinaconazole (0.007 μg/ml), terbinafine (0.011 μg/ml), itraconazole (0.095 μg/ml), and fluconazole (12.77 μg/ml). It appears that efinaconazole, lanoconazole, and luliconazole are promising candidates for the treatment of dermatophytosis due to and .
Background: Vulvovaginal candidiasis (VVC) is a common infection, affecting up to 75% of women at least once during their lifetime. In addition, approximately 5% of patients may experience recurrent VVC. Candida albicans is the most common causative agent of VVC. Overall, precise identification of the causative agents of VVC is necessary for effective treatment. Objectives: The purpose of this study was to identify the molecular characteristics and antifungal susceptibility of Candida species, isolated from women with VVC in cities of Shoush, Dezful, and Andimeshk, Khuzestan Province, Iran. Methods: In this descriptive cross sectional study, vaginal samples were collected from 173 women with VVC, referred to gynecologists. The samples were cultured on Sabouraud dextrose agar, containing chloramphenicol. The ITS1-ITS4 region was amplified via polymerase chain reaction (PCR) assay and digested by MspI restriction enzyme. Antifungal susceptibility test was performed for 4 antifungal drugs (fluconazole, nystatin, itraconazole, and clotrimazole) via disk diffusion method. Results: Out of 173 patients, 95 (54.9%) showed VVC and 26 (27.4%) had recurrent VVC. The most common Candida species were C. albicans (70.5%), C. glabrata (20%), C. tropicalis (7.4%), and C. parapsilosis (2.1%), respectively. The antifungal susceptibility test showed resistance to fluconazole in 1 C. tropicalis, 2 C. albicans, and 3 C. glabrata isolates, while resistance to clotrimazole was detected in 1 C. albicans and 1 C. glabrata isolate. Conclusions: According to the results of this study, approximately 30% of VVC infections were caused by non-C. albicans species, which should be considered by gynecologists due to their azole resistance.
Background and Purpose: Candida albicans is the most common Candida species (sp.) isolated from fungal infections. Azole resistance in Candida species has been considerably increased in the last decades. Given the toxicity of the antimicrobial drugs, resistance to antifungal agents, and drug interactions, the identification of new antifungal agents seems essential. In this study, we assessed the antifungal effects of biogenic selenium nanoparticles on C. albicans and determined the expression of ERG11 and CDR1 genes.Materials and Methods:Selenium nanoparticles were synthesized with Bacillus sp. MSH-1. The ultrastructure of selenium nanoparticles was evaluated with a transmission electron microscope. The antifungal susceptibility test was performed according to the modified Clinical and Laboratory Standards Institute M27-A3 standard protocol. The expression levels of the CDR1 and ERG11 genes were analyzed using the quantitative real-time polymerase chain reaction (PCR) assay.Results:The azole-resistant C. albicans and wild type C. albicans strains were inhibited by 100 and 70 µg/mL of selenium nanoparticle concentrations, respectively. The expression of CDR1 and ERG11 genes was significantly down-regulated in these selenium nanoparticle concentrations.Conclusion:As the findings indicated, selenium nanoparticles had an appropriate antifungal activity against fluconazole-resistant and -susceptible C. albicans strains. Accordingly, these nanoparticles reduced the expression of CDR1 and ERG11 genes associated with azole resistance. Further studies are needed to investigate the synergistic effects of selenium nanoparticles using other antifungal drugs.
Introduction. Given the limited number of candidaemia studies in Iran, the profile of yeast species causing bloodstream infections (BSIs), especially in adults, remains limited. Although biochemical assays are widely used in developing countries, they produce erroneous results, especially for rare yeast species. Aim. We aimed to assess the profile of yeast species causing BSIs and to compare the accuracy of the Vitek 2 system and 21-plex PCR. Methodology. Yeast blood isolates were retrospectively collected from patients recruited from two tertiary care training hospitals in Tehran from 2015 to 2017. Relevant clinical data were mined. Identification was performed by automated Vitek 2, 21-plex PCR and sequencing of the internal transcribed spacer region (ITS1-5.8S-ITS2). Results. In total, 137 yeast isolates were recovered from 107 patients. The overall all-cause 30-day mortality rate was 47.7 %. Fluconazole was the most widely used systemic antifungal. Candida albicans (58/137, 42.3 %), Candida glabrata (30/137, 21.9 %), Candida parapsilosis sensu stricto (23/137, 16.8 %), Candida tropicalis (10/137, 7.3 %) and Pichia kudriavzevii ( Candida krusei ) (4/137, 2.9 %) constituted almost 90 % of the isolates and 10 % of the species detected were rare yeast species (12/137; 8.7 %). The 21-plex PCR method correctly identified 97.1 % of the isolates, a higher percentage than the Vitek 2 showed (87.6 %). Conclusion. C. albicans was the main cause of yeast-derived fungaemia in this study. Future prospective studies are warranted to closely monitor the epidemiological landscape of yeast species causing BSIs in Iran. The superiority of 21-plex PCR over automated Vitek 2 indicates its potential clinical utility as an alternative identification tool use in developing countries.
Occurrence of non- Candida albicans Candida (NCAC) species that are associated with elevated MIC values and therapeutic failures are increasing. As a result, timely and accurate means of identification to the species level is becoming an essential part of diagnostic practices in clinical settings. In this study, 301 clinically isolated yeast strains recovered from various anatomical sites [Blood ( n = 145), other sites ( n = 156)] were used to assess the accuracy and practicality of API 20C AUX and 21-plex PCR compared to MALDI-TOF MS and large subunit rDNA (LSU rDNA). MALDI-TOF MS correctly identified 98.33% of yeast isolates, 100% of top five Candida species, 95.7% of rare yeast species, while 1.3% of isolates were misidentified. API 20C AUX correctly identified 83.7% of yeast isolates, 97.2% of top five Candida species, 61.8% of rare yeast species, while 16.2% of yeast isolates were misidentified. The 21-plex PCR, accurately identified 87.3% of yeast isolates, 100% of top five Candida species, 72% of rare yeast species, but it misidentified 1.3% of rare yeast species while 9.9% of whole yeast isolates were not identified. The combination of rapidity of 21-plex PCR and comprehensiveness of API 20C AUX, led to correct identification of 92% of included yeast isolates. Due to expensiveness of MALDI-TOF MS and sequencing, this combination strategy could be the most accurate and inexpensive alternative identification strategy for developing countries. Moreover, by the advent and development of cost-effective, reliable, and rapid PCR machines that cost 130 US dollars, 21-plex could be integrated in routine laboratories of developing and resource-limited countries to specifically identify 95% causative agents of yeast-related infections in human. Databases of MALDI-TOF MS, API 20C AUX, and the number of target species identified by 21-plex require further improvement to keep up with the diverse spectrum of yeast species.
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