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Chronic granulomatous disease is the inborn error of immunity with the highest frequency of invasive aspergillosis. In this context, invasive aspergillosis is frequent in adolescence, with rare cases before one year of age. We present a case of chronic granulomatous disease and invasive aspergillosis in a four-month-old infant.

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Background: Antibiotic exposure for fever/cough has been rising alarmingly, especially among children under five in low- and middle-income countries (LMICs). This excessive use could result in higher healthcare costs, and antibiotic resistance is an alarming trend in developing countries. As a result, it's crucial to look at the variables that affect antibiotic exposure and highlight the subgroups among whom antibiotic abuse is the most prevalent.

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Antimicrobial resistance (AMR) represents one of the biggest threats to health globally. The rise of AMR has been largely attributed to the misuse and abuse of antimicrobials in veterinary, human, and agricultural medicine. This study aimed to assess human, livestock, and agricultural health profiles, and practices of One Health and antibiotic use through a situational analysis of an Indigenous village Gurah, in a rural area of Mohali district in Punjab state using a demographic and facility survey.

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UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides.

BMC Bioinformatics

January 2025

College of Artificial Intelligence, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu, China.

Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicrobial resistance of microorganisms due to the increasing abuse of antibiotics in medicine and agriculture around the globe. In this study, we propose UniAMP, a systematic prediction framework for discovering AMPs. We observe that feature vectors used in various existing studies constructed from peptide information, such as sequence, composition, and structure, can be augmented and even replaced by information inferred by deep learning models.

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Preparation of ofloxacin molecularly imprinted polymer Raman sensor based on magnetic graphene oxide.

Anal Bioanal Chem

January 2025

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.

Ofloxacin is a commonly used quinolone antibiotic that is also used as a feed supplement in livestock production and in plant disease prevention and treatment. However, the excessive use and abuse of ofloxacin will accumulate along the food chain and endanger human health. Therefore, the development of a simple, rapid, and sensitive detection method for the determination of ofloxacin is critical.

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