Clinical and mycological implications of cryptococcal meningitis in Iran.

Cryptococcal meningitis (CM) is an uncommon and severe infection that tends to affect both immunocompromised and immunocompetent hosts. To gain insights into the clinical and epidemiological characteristics of CM in Iran, this study evaluated patients with subacute or chronic meningitis referred to 15 Iranian hospitals. Relevant clinical and epidemiological characteristics of the patients were analyzed. Diagnosis of CM cases was performed by microscopic examination, culture, latex agglutination assay, lateral flow assay, and multiplex PCR on cerebrospinal fluid (CSF) samples. The isolates were processed and subjected to molecular identification and in vitro susceptibility antifungal profile. Among the 272 evaluated patients, 7 (2.6 %) CM cases were diagnosed. Out of seven CM cases, 6 (86 %) were male with a median age of 36 years. The most common neurological signs were headache (100 %), followed by nausea and vomiting (71.4 %). All CSF samples from CM patients exhibited positive results across all mycological tests conducted. The isolates were identified as Cryptococcus neoformans (86 %) and Cryptococcus gattii (14 %). All isolates were susceptible to voriconazole and fluconazole, while resistance was observed with itraconazole (MIC value of 0.5 µg/mL) and amphotericin B (MIC values of 4 and 1 µg/mL). The highest mortality (6/7, 86 %) was observed among patients. While a comprehensive study on this subject is currently lacking in Iran, the data acquired through this research play a crucial role in enhancing the clinical and epidemiological understanding of this infection, particularly within low-income countries. Moreover, these findings will serve as a cornerstone for future international comparative studies in this field.

Clinical and microbiological patterns in critically ill patients with catheter-associated UTI: A report from Iran.

INTRODUCTION: Catheter-associated urinary tract infections (CAUTIs) are among the most common nosocomial infections with different clinical and microbiological characteristics. We studied these characteristics in critically ill patients. METHODOLOGY: This research was a cross-sectional study conducted on intensive care unit (ICU) patients with CAUTI. Patients' demographic and clinical information and laboratory data, including causative microorganisms and antibiotic susceptibility tests, were recorded and analyzed. Finally, the differences between the patients who survived and died were compared. RESULTS: After reviewing 353 ICU cases, 80 patients with CAUTI were finally included in the study. The mean age was 55.9 ± 19.1 years, 43.7% were male and 56.3% were female. The mean length of infection development since hospitalisation and hospital stay were 14.7 (3-90) and 27.8 (5-98) days, respectively. The most common symptom was fever (80%). The microbiological identification showed that the most isolated microorganisms were Multidrug-resistant (MDR) Enterobacteriaceae (75%), Pseudomonas aeruginosa (8.8%), Gram-positive uropathogens (8.8%) and Acinetobacter baumannii (5%). Fifteen patients (18.8%) died among whom infections with A. baumannii (75%) and P. aeruginosa (57.1%) were associated with more death (p = 0.005). CONCLUSIONS: Although A. baumannii and P. aeruginosa can be the most important pathogens for death, MDR Enterobacteriaceae are still a serious concern as causes of CAUTIs.

An integrative gene network-based approach to uncover the cellular and molecular infrastructures of schizophrenia.

AIMS: High phenotypic and endophenotypic heritability of schizophrenia indicates substantial involvement of genetic elements in the occurrence of this disorder. Multiplicity of hypotheses about the genetic basis of schizophrenia pathogenesis suggests that there is still no integrated image from cellular and molecular infrastructure of this disorder. MATERIALS AND METHODS: Here, we aimed to gain an integrated insight into the genetic basis of schizophrenia through gene set enrichment and network analysis to find the most important developmental stages/brain regions, chromosomal locations and metabolic pathways involved in the pathogenesis of schizophrenia. We investigated major mental disorders whose genetic bases are significantly overlapping with the schizophrenia gene set. KEY FINDINGS: Enrichment analyses uncovered 60 developmental stages/brain regions, 21 chromosomal hotspots and 16 pathways which are significantly associated with the found gene set. Our results demonstrated early mid-fetal/cortex as the most prominent developmental stage/brain region, chr16q22 as the most significant cytoband and the neuroactive ligand-receptor interaction as the most central pathway associated with schizophrenia. Further analyses revealed that autistic disorder has the most shared genes with schizophrenia. Moreover, mitogen-activated protein kinase-3 (MAPK3), calcium voltage-gated channel subunit alpha1 C (CACNA1C), solute carrier family 6 member 4 (SLC6A4) and 5-hydroxytryptamine receptor 2A (HTR2A) genes are the most central genes in the pathogenesis of schizophrenia. SIGNIFICANCE: In addition to summarizing what has been found on schizophrenia-associated genes in an integrative holistic framework, our results may help identify principle schizophrenia-associated cellular and molecular infrastructures, and provide support for further investigation on potential diagnostic and therapeutic biomarkers for schizophrenia.