Background/Objectives: The increasing threat of antimicrobial resistance (AMR) to global public health urgently needs attention. Misuse of antimicrobials in sectors such as dairy farming has led to the emergence and spread of resistant bacteria and genes. This study investigated AMR patterns and profiles of Escherichia coli (E. coli) from various sources, including soil, effluent, cow dung, and milk. Methods: A total of 192 samples were collected, comprising environmental samples (soil and effluent), cow dung samples, and milk samples from eight dairy farms in Selangor, Malaysia. The spread plate method was employed to isolate E. coli, and all the isolates were subjected to Gram staining to identify Gram-negative, rod-shaped bacteria. The Vitek^® 2 system was used for E. coli identification and susceptibility testing. Results: The prevalence of E. coli identified in the eight farms was 66.1%. A total of 360 E. coli isolates were successfully isolated, and 19.7% of the isolates presented AMR with ampicillin exhibiting the highest resistance (18.3%), followed by trimethoprim–sulfamethoxazole (8.9%). Additionally, 8.9% of them were multidrug resistant, which could be divided into 16 patterns. For the extended spectrum beta-lactamase screening, nine isolates were positive. Conclusions: This finding emphasizes the rise in resistant isolates in the growing dairy industry and underscores the urgency of addressing the potential reservoir of AMR. Therefore, essential measures such as continuous surveillance and effective antimicrobial stewardship programs are crucial for regulating veterinary antimicrobial use. Research on the mechanisms driving the development and dissemination of AMR is imperative for addressing One Health concerns.

Antimicrobial resistance (AMR) poses a significant “One Health” challenge in the farming industry attributed to antimicrobial misuse and overuse, affecting the health of humans, animals, and the environment. Recognizing the crucial role of the environment in facilitating the transmission of AMR is imperative for addressing this global health issue. Despite its urgency, there remains a notable gap in understanding resistance levels in the environment. This scoping review aims to consolidate and summarize available evidence of AMR prevalence and resistance genes in dairy farm settings. This study was conducted following the PRISMA Extension checklist to retrieve relevant studies conducted in Asian countries between 2013 and 2023. An electronic literature search involving PubMed, ScienceDirect, Embase, and Scopus resulted in a total of 1126 unique articles that were identified. After a full-text eligibility assessment, 39 studies were included in this review. The findings indicate that AMR studies in dairy farm environments have primarily focused on selective bacteria, especially Escherichia coli and other bacteria such as Staphylococcus aureus, Klebsiella spp., and Salmonella spp. Antimicrobial resistance patterns were reported across 24 studies involving 78 antimicrobials, which predominantly consisted of gentamicin (70.8%), ampicillin (58.3%), and tetracycline (58.3%). This review emphasizes the current state of AMR in the environmental aspects of dairy farms across Asia, highlighting significant gaps in regional coverage and bacterial species studied. It highlights the need for broader surveillance, integration with antimicrobial stewardship, and cross-sector collaboration to address AMR through a One Health approach.

Background/Objectives: Microorganisms such as bacteria, viruses, and fungi are frequently the cause of infections. Antimicrobial agents, such as antibiotics, antivirals, and antifungals, are used to target and eliminate these infectious agents. On the other hand, inflammation is a natural response of the immune system to injury, infection, or irritation. Although herbal remedies have been used to treat these conditions for centuries and can be effective in certain situations, it is crucial to use them with caution. Not all herbal remedies are supported by scientific evidence, and their safety and efficacy can vary. Thus, we conducted this review to determine the potential health benefits of agarwood as an antimicrobial and anti-inflammatory agent. Methods: Three databases (PubMed, Scopus, and Google Scholar) were used to search for original papers submitted between 2013 and 2023, using the Medical Subject Heading (MeSH) terms “agar-wood” crossed with the terms “antimicrobial” and/or “anti-inflammatory”. Synonyms and relevant search terms were also searched. Results: The most-studied agarwood for antimicrobial and anti-inflammatory agents is Aquilaria sinensis. Some studies have shown its potential application as a potent inhibitor of fungi, including Lasiodiplodia theobromae, Fusarium oxysporum, and Candida albicans. Moreover, it is capable of inhibiting Bacillus subtilis and Staphylococcus aureus activities. Several chromones detected in agarwood have been shown to inhibit NF-κB activation, LPS-induced NO production, and superoxide anion generation. In conclusion, more research is needed, particularly regarding future intervention studies, to enhance our knowledge and understanding of agarwood and its isolates. Conclusions: This review reveals that despite the absence of clinical trials, agarwood exhibits antimicrobial and anti-inflammatory properties.

It has been well-established that mycotoxins are poisonous chemical metabolites secreted by certain molds. Some of them significantly affect the health of humans and livestock. Increasing attention is now being paid to uncovering and identifying mycotoxins’ presence in the building’s environment. However, the main challenge remains in suitable and reliable analytical methods for their identification and detection in infected structures. GC-MS and LC-MS/MS techniques have been used extensively for mycotoxin analysis, and advancement in these techniques enabled a more comprehensive range of mycotoxins to be detected. As such, this study aimed to address a brief overview of various phenomena of existing sample collection, preparation, and analysis to detect mycotoxins in the building’s environment. This scoping review includes articles from 2010 to 2020 available from PubMed, Scopus, Cochrane, Wiley, Google Scholar, and ScienceDirect. Duplicate articles were removed, and exclusion criteria were applied to eliminate unrelated studies, resulting in 14 eligible articles. The present study provides an overview of mycotoxin analysis by GC-MS and LC-MS/MS in buildings. Many techniques are available for analyzing and detecting multiple mycotoxins using these methods. Future efforts would focus on rapid assays and tools enabling measuring a broader range of mycotoxins in a single matrix and lower detection limits. In addition, it would assist future findings on new techniques and mycotoxins that existed in the building’s environment.

Background/Objectives: Antibiotic resistance is a growing public health concern. The One Health approach is essential in addressing antibiotic (AR) resistance. Therefore, this study aimed to determine AR among enterococcal isolates in dairy farms across various domains based on the emerging dairy industry. Methods: A total of 208 enterococcal isolates from the workers = 70, milk = 76, and environment = 62 of eight dairy farms in Selangor, Malaysia, were used in this study. The bacterial identification and antibiotic susceptibility testing (AST) were conducted utilising the Vitek-2 system. Results: Approximately 28% of the isolates exhibited susceptibility to all tested antibiotics. A relatively higher proportion of isolates demonstrated resistance to tetracycline, which was followed by erythromycin. The multidrug resistance (MDR) and multiple antibiotic resistance (MAR) index were low in this study. Conclusions: The studied dairy farms exhibited lower AR, MDR, and MAR index values. Nevertheless, ongoing surveillance is essential due to the recent expansion of the dairy farming industry.

Clinical diagnosis of inborn errors of metabolism in the suspected patients is usually guided by the initial general investigations in the laboratory such as the concentration of ammonia, blood gases status, blood glucose and ketones. The establishment of a biochemical diagnosis in patients with inborn errors of metabolism depends on the detection of the specific metabolites in the abnormal metabolic pathway which can appear in any of the body fluids but are most commonly tested in blood and urine samples. Acylcarnitine and/or acylcarnitine ratio in patients with carnitine acylcarnitine translocase and carnitine palmitoyl transferase deficiency showed an abnormal profile regardless of the metabolic status of patients. The acylcarnitine was derived from the analysis of dried blood spot using multiple reaction monitoring (MRM) which was performed using quadrupole mass spectrometry. The dataset presented in this article was generated from analysis of acylcarnitines in the 17,121 dried blood spots from symptomatic Malaysian patients less than fifty years old who exhibited symptoms suggestive of inborn errors of metabolism, but had a normal acylcarnitine profile. A precursor or ion scan of m/z 85 was selected for the analysis. Quantification of each analyte was obtained using the signal intensity ratio of the acylcarnitine to its internal standard. The acylcarnitines analyzed included C0, C2, C3, C3DC, C4, C5, C5:1, C5DC, C5OH, C6, C8, C10, C12, C14, C16, C18, C18:1, C16OH, C18OH and C18:1OH and was analyzed using Neolynx V4.0 software. We decided to choose the 1st and 99th percentiles as the minimum and maximum cut-offs. The filtered part of data in this article was used in the article Novel mutations associated with Carnitine-Acylcarnitine Translocase and Carnitine Palmitoyl Transferase 2 deficiencies in Malaysia. This dataset is intended to enable the scientific communities to get access to the raw dataset for future translational research use in inborn errors of metabolism as very few acylcarnitine data was developed and published for the symptomatic patients suspected of inborn errors of metabolism especially in the Asian population.