Microplastics are small pieces of plastic that are less than 5 mm in size and can be found in most environments, including the oceans, rivers, and air. These small plastic particles can have negative impacts on wildlife and the environment. In this review of the literature, we analyze the presence of microplastics in various species of wildlife, including fish, birds, and mammals. We describe a variety of analytical techniques, such as microscopy and spectrometry, which identify and quantify the microplastics in the samples. In addition, techniques of sample preparation are discussed. Summary results show that microplastics are present in all the wildlife species studied, with the highest concentrations often found in fish and birds. The literature suggests that microplastics are widely distributed in the environment and have the potential to affect a wide range of species. Further research is required to fully understand the impacts of microplastics on wildlife and the environment.

Postpartum mothers and their healthcare providers often face the challenge of limited data regarding the safety of drug therapies during lactation. Pregnancy can lead to sustained weight gain, and obesity can negatively impact both physical and psychological well-being. The introduction of GLP-1 agonists to augment weight loss has become a topic of interest for many postpartum mothers. Our study aims to investigate the transmission of semaglutide into human milk in the first steps to ensure the safety and health of both lactating mothers and their breastfed infants. Semaglutide quantification was performed using high-resolution liquid chromatography-mass spectrometry. InfantRisk Center Human Milk biorepository released milk samples from eight women collected at 0, 12 and 24 h post-semaglutide administration. Semaglutide was extracted using protein precipitation in methanol, followed by chromatographic separation. Linear calibration curves for the method ranged between 2.5–30 ng/mL, with a limit of detection of 1.7 ng/mL and a limit of quantification of 5.7 ng/mL (LLOQ). Semaglutide was not detected in any of the collected human milk samples. A worst-case scenario of the relative infant dose (RID) was calculated using the LLOQ as the drug concentration in milk when considering semaglutide’s bioavailability and long-acting dose profile. The maximum RID projected was 1.26%, far below the standard 10% safety threshold. While questions about long-term infant outcomes, the safety of maternal nutrient intake, and the nutrient content of breast milk remain, our findings suggest that semaglutide concentrations in human milk are unlikely to pose clinical concerns for breastfed infants. These results support healthcare providers in making informed decisions regarding postpartum therapeutic interventions.

The digestion of protein into peptide fragments reduces the size and complexity of protein molecules. Peptide fragments can be analyzed with higher sensitivity (often > 10² fold) and resolution using MALDI-TOF mass spectrometers, leading to improved pattern recognition by common machine learning algorithms. In turn, enhanced sensitivity and specificity for bacterial sorting and/or disease diagnosis may be obtained. To test this hypothesis, four exemplar case studies have been pursued in which samples are sorted into dichotomous groups by machine learning (ML) software based on MALDI-TOF spectra. Samples were analyzed in ‘intact’ mode in which the proteins present in the sample were not digested with protease prior to MALDI-TOF analysis and separately after the standard overnight tryptic digestion of the same samples. For each case, sensitivity (sens), specificity (spc), and the Youdin index (J) were used to assess the ML model performance. The proteolytic digestion of samples prior to MALDI-TOF analysis substantially enhanced the sensitivity and specificity of dichotomous sorting. Two exceptions were when substantial differences in chemical composition between the samples were present and, in such cases, both ‘intact’ and ‘digested’ protocols performed similarly. The results suggest proteolytic digestion prior to analysis can improve sorting in MALDI/ML-based workflows and may enable improved biomarker discovery. However, when samples are easily distinguishable protein digestion is not necessary to obtain useful diagnostic results.