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Here we describe a bloodstream infection due to P. zopfii var. hydrocarbonea in a patient with acute lymphoblastic leukemia. Identification was performed by DNA sequencing of the D1/D2 domain of 26s ribosomal DNA and by MALDI-TOF MS technique. Antifungal susceptibility tests against amphotericin B, fluconazole, itraconazole, and voriconazole showed the following MIC values, respectively: 0.25 mg/L, 128 mg/L, 0.064 mg/L, and 0.125 mg/L. The patient received amphotericin B treatment with a successful outcome. Keywords: Prototheca spp, Protothecosis, P.zopfii, Bloodstream infection, Immunocompromised patient

Treatment of erectile dysfunction after radical prostatectomy includes intracavernous Caverject injections. We present the case of recurrent transient global amnesia in a man performing self-administration of Caverject after robotic radical prostatectomy. The correlation between the intracavernous injection and the neurological phenomenon was repeated and evident, yet the specific aetiology of transient global amnesia remains uncertain.

In December 2019, a number of subjects presenting with an unexplained pneumonia-like illness were suspected to have a link to a seafood market in Wuhan, China. Subsequently, this illness was identified as the 2019-novel coronavirus (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the World Committee on Virus Classification. Since its initial identification, the virus has rapidly sperad across the globe, posing an extraordinary challenge for the medical community. Currently, the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is considered the most reliable method for diagnosing SARS-CoV-2. This procedure involves collecting oro-pharyngeal or nasopharyngeal swabs from individuals. Nevertheless, for the early detection of low viral loads, a more sensitive technique, such as droplet digital PCR (ddPCR), has been suggested. Despite the high effectiveness of RT-PCR, there is increasing interest in utilizing highly trained dogs and electronic noses (eNoses) as alternative methods for screening asymptomatic individuals for SARS-CoV-2. These dogs and eNoses have demonstrated high sensitivity and can detect volatile organic compounds (VOCs), enabling them to distinguish between COVID-19 positive and negative individuals. This manuscript recapitulates the potential, advantages, and limitations of employing trained dogs and eNoses for the screening and control of SARS-CoV-2., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Aims: No data are available on early initiation of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) in patients with acute coronary syndrome (ACS) in real-world. This study investigates the effects of PCSK9i started at time of ACS hospitalization on lipid control and major CV events in real-world., Methods: The lipid control outcome was the percentage of patients reaching the LDL-C target of < 55 mg/dL at first lipid control. The clinical outcome was the incidence of composite major CV events (all cause death, non-fatal MI, non-fatal stroke, and ischemia-driven revascularization) during follow-up in relation to quartiles of LDL-C at first lipid control., Results: We included 771 patients with ACS from AT-TARGET-IT registry, receiving PCSK9i prescription during hospitalization or at discharge. Median LDL-C was 137 mg/dL and decreased to 43 mg/dL at first lipid control. 527 (68.3%) patients achieved LDL-C target at the first lipid control at a median time of 37 days from hospitalization; of them, 404 (76.8%) were discharged on statin plus ezetimibe background therapy. Event curves through a median follow-up of 11 months across quartiles of LDL-C showed a stepwise lower risk of 4P-MACE, 3P-MACE, all-cause mortality, and ischemia-driven revascularization in lower quartile of LDL-C values at first lipid control (<23 mg/dL) and in patients reaching LDL-C <55 mg/dL., Conclusions: Intensive and early lipid-lowering therapy using PCSK9i in patients with ACS (strike early strike strong strategy) is safe and effective in clinical practice and associated with a reduction of residual CV risk., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Prostate cancer (PCa) is known for its highly diverse clinical behavior, ranging from low-risk, slow-growing tumors to aggressive and life-threatening forms. To avoid over-treatment of low-risk PCa patients, it would be very important prior to any therapeutic intervention to appropriately classify subjects based on tumor aggressiveness. Unfortunately, there is currently no reliable test available for this purpose. The aim of the present study was to evaluate the ability of risk stratification of PCa subjects using an electronic nose (eNose) detecting PCa-specific volatile organic compounds (VOCs) in urine samples., Methods: The study involved 120 participants who underwent diagnostic prostate biopsy followed by robot assisted radical prostatectomy (RARP). PCa risk was categorized as low, intermediate, or high based on the D'Amico risk classification and the pathological grade (PG) assessed after RARP. The eNose's ability to categorize subjects for PCa risk stratification was evaluated based on accuracy and recall metrics., Results: The study population comprised 120 participants. When comparing eNose predictions with PG an accuracy of 79.2% (95%CI 70.8 - 86%) was found, while an accuracy of 74.2% (95%CI 65.4 - 81.7%) was found when compared to D'Amico risk classification system. Additionally, if compared low- versus -intermediate-/high-risk PCa, the eNose achieved an accuracy of 87.5% (95%CI 80.2-92.8%) based on PG or 90.8% (95%CI 84.2-95.3%) based on D'Amico risk classification. However, when using low-/-intermediate versus -high-risk PCa for PG, the accuracy was found to be 91.7% (95%CI 85.2-95.9%). Finally, an accuracy of 80.8% (95%CI72.6-87.4%) was found when compared with D'Amico risk classification., Discussion: The findings of this study indicate that eNose may represent a valid alternative not only for early and non-invasive diagnosis of PCa, but also to categorize patients based on tumor aggressiveness. Further studies including a wider sample population will be necessary to confirm the potential clinical impact of this new technology., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Taverna, Grizzi, Bax, Tidu, Zanoni, Vota, Mazzieri, Clementi, Toia, Hegazi, Lotesoriere, Hurle and Capelli.)

Background: Ovarian cancer (OC) accounts for about 4% of female cancers globally. While Ki67-immunopositive (Ki67 + ) cell density is commonly used to assess proliferation in OC, the two-dimensional (2D) distribution pattern of these cells is poorly understood. This study explores the 2D distribution pattern of Ki67 + cells in primary OC tissues and models the proliferation process to improve our understanding of this hallmark of cancer., Methods: A total of 100 tissue cores, included in a tissue microarray (TMA) representing 5 clear cell carcinomas, 62 serous carcinomas, 10 mucinous adenocarcinomas, 3 endometrioid adenocarcinomas, 10 lymph node metastases from OC, and 10 samples of adjacent normal ovary tissue, were stained using a standardized immunohistochemical protocol. The computer-aided image analysis system assessed the 2D distribution pattern of Ki67 + proliferating cells, providing the cell number and density, patterns of randomness, and cell-to-cell closeness. Three computer models were created to simulate behavior and responses, aiming to gain insights into the variations in the proliferation process., Results: Significant differences in Ki67 + cell density were found between low- and high-grade serous carcinoma/mucinous adenocarcinomas ( p = 0.003 and p = 0.01, respectively). The Nearest Neighbor Index of Ki67 + cells differed significantly between high-grade serous carcinomas and endometrioid adenocarcinomas ( p = 0.01), indicating distinct 2D Ki67 + distribution patterns. Proxemics analysis revealed significant differences in Ki67 + cell-to-cell closeness between low- and high-grade serous carcinomas ( p = 0.002). Computer models showed varied effects on the overall organization of Ki67 + cells and the ability to preserve the original 2D distribution pattern when altering the location and/or density of Ki67 + cells., Conclusions: Cell proliferation is a hallmark of OCs. This study provides new evidence that investigating the Ki67 + cell density and 2D distribution pattern can assist in understanding the proliferation status of OCs. Moreover, our computer models suggest that changes in Ki67 + cell density and their location are critical for maintaining the 2D distribution pattern.

Benign prostatic hyperplasia (BPH) is a prevalent condition among older men that is characterized by the enlargement of the prostate gland and compression of the urethra, which often results in lower urinary tract symptoms, such as frequent urination, difficulty in starting urination, and incomplete bladder emptying. The development of BPH is thought to be primarily due to an imbalance between cell proliferation and apoptosis, underlying inflammation, epithelial-to-mesenchymal transition, and local paracrine and autocrine growth factors, although the exact molecular mechanisms are not yet fully understood. Anatomical structures considered natural and benign observations can occasionally present multi-parametric magnetic resonance imaging appearances that resemble prostate cancer (PCa), posing a risk of misinterpretation and generating false-positive outcomes and subsequently, unnecessary interventions. To aid in the diagnosis of BPH, distinguish it from PCa, and assist with treatment and outcome prediction, various Artificial Intelligence (AI)-based algorithms have been proposed to assist clinicians in the medical practice. Here, we explore the results of these new technological advances and discuss their potential to enhance clinicians' cognitive abilities and expertise. There is no doubt that AI holds extensive medical potential, but the cornerstone for secure, efficient, and ethical integration into diverse medical fields still remains well-structured clinical trials., Competing Interests: The authors declare no conflict of interest., (© 2023 The Author(s).)