Background/Objectives: The spread of antimicrobial resistance (AMR) is a growing global health concern. Wild animals can play an important role in the amplification and dissemination of AMR and in conservation efforts aiming at controlling diseases in vulnerable wild animal populations. These animals can serve as reservoirs for antibiotic resistance genes and are key in the spread of AMR across ecosystems and hosts. Therefore, monitoring AMR in wild animals is crucial in tackling the spread of resistance in the environment and human population. This study investigated the phenotypic and genotypic resistance of Escherichia coli (E. coli) isolated from semi-wild oryx (Oryx leucoryx) in Qatar. Methods: One hundred fecal samples were collected from oryx in diverse natural reserves across Qatar. A selective agar medium was used to isolate E. coli, and the identity of the isolates was further confirmed using the VITEK^® 2 Compact system. The Kirby–Bauer disk diffusion method was used to test antibiotic susceptibility. Genetic resistance determinants were identified through polymerase chain reaction (PCR) analyses and sequencing using the Oxford Nanopore Technology (ONT). Results: The results revealed that 18% (n = 18) of the samples harbored E. coli with resistance to a single antibiotic, 28% (n = 28) were resistant to at least one antibiotic, and 2% (n = 2) were multidrug-resistant (MDR). No resistance was observed against colistin. tetA and tetB encode tetracycline resistance were the most frequently detected genes (57.7%). Whole genome sequencing (WGS) was used to expand on AMR gene-PCR analyses and analyze the resistome of 12E. coli isolates. WGS identified several important antibiotic resistance determinates, including bla_CTX-M-encoding Extended Spectrum Beta-Lactamase (ESBL) resistance, soxR associated with tetracycline target alteration, and mdtE, emrB, AcrE, mdtF, and marA related to ciprofloxacin efflux pump resistance. Conclusions: This study provides essential information regarding AMR in Qatari semi-wild animals, which will guide conservation strategies and wildlife health management in a world experiencing increasing antibiotic-resistant infections. Furthermore, these findings can inform policies to mitigate AMR spread, improve ecosystems, and enhance public and environmental health while paving the way for future research on AMR dynamics in wildlife.

Inborn errors of metabolism (IEMs) are a group of inherited genetic conditions that, in general, result from a specific enzyme defect. Clinical consequences caused by abnormal enzyme levels often disrupt affected metabolic pathways and their intermediary metabolites. Because diagnostic outcomes depend on early intervention, a timely and accurate diagnosis is essential. Quantitative targeted metabolomics (QTM) is an analytical approach that quantifies predefined metabolites and generates interpretable biochemical phenotypes. Instead of focusing solely on screening, expanded QTM methods enable higher coverage with multi-analyte profiling that can provide more comprehensive characterization of disease-associated metabolic perturbations, particularly in IEMs with overlapping biochemical profiles. This review summarizes diagnostic techniques for IEMs, outlines the principles and advantages of QTM, and evaluates its established role and emerging opportunities and limitations in advancing method development and deep metabolic phenotyping to support precision medicine.

Background/Objectives: Data on antimicrobial resistance (AMR) in goat-derived E. coli within the Gulf Cooperation Council (GCC) region remain limited, and are largely restricted to studies conducted in Saudi Arabia and the UAE, with no published reports from Qatar. This study provides the first baseline characterization of AMR and extended-spectrum β-lactamase (ESBL) profiles of E. coli isolated from goats in Qatar. Methods: A total of 280 fecal samples were collected from goats across nine locations in Qatar (140 healthy and 140 diseased goats; 12 samples did not yield E. coli cultures). A selective agar medium was used to isolate E. coli, and the isolates were subsequently confirmed using the VITEK^® 2 Compact system. Antimicrobial susceptibility testing was performed to determine resistance profiles, and PCR assays were used to detect ESBL-associated genes. Results: 268 E. coli isolates were recovered from 280 samples. AMR analysis revealed a high prevalence of tetracycline resistance among E. coli isolates (53%), consistently observed across all nine sampling locations. Ampicillin resistance was also widespread. AMR was detected in isolates from both healthy and diseased goats; however, gentamicin resistance was found exclusively in the isolates from diseased animals. Overall, 44 isolates (16%) were classified as multidrug resistant (MDR), while nine isolates (3%) demonstrated ESBL production based on cefotaxime resistance. MDR and ESBL-producing E. coli were detected across all nine locations and in both healthy and diseased animals, with MDR strains occurring more frequently than ESBL producers. PCR analysis identified ESBL-associated genes, namely, bla_CTX-M in nine isolates and bla_TEM in three isolates. Conclusions: Goats in Qatar harbor multidrug-resistant and ESBL-producing E. coli, highlighting their role as AMR reservoirs within a One Health framework. The high resistance rates to commonly used antibiotics, particularly tetracycline and ampicillin, across health statuses and geographic locations suggest potential influences of local management practices and environmental factors. The detection of ESBL genes, notably bla_CTX-M and bla_TEM, underscores the need for prudent antimicrobial use and the implementation of integrated One Health surveillance programs to mitigate potential public health risks and to support national AMR surveillance and antimicrobial stewardship efforts across the region.