Direct Impact of the Air on Mutant Cells for Mutagenicity Assessments in Urban Environments.

BACKGROUND: Urban air pollution is recognized as a critical problem for public health and is classified as a carcinogen for humans. A great number of studies have focused on the monitoring of urban air mutagenicity. One of the best-known and applied methods for assessing mutagenicity is the Ames test, a bacterial reverse mutation test. The classic protocol for assessing air mutagenicity involves the concentration of particulate matter (PM) on filters and subsequent extraction using organic solvents. This work aimed to develop a method for the evaluation of air mutagenicity directly impacted by air on microbial plates already containing an Ames' microbial sensor. METHODS: A specific six-month sampling campaign was carried out in Turin in a period with high air pollution. Samples were tested for mutagenicity on Salmonella typhimurium strains TA98, TA100, and YG1024 with the traditional method and with the new direct method. RESULTS: The new protocol is able to evaluate the mutagenicity of the sampled air and obtain repeatable results. The final sensitivity is similar to the traditional method (≈10 net revertants/m3); however, the mutagenic response is due to the complete air pollution mixture, including volatile and semivolatile pollutants avoiding the concentration of filters and the following laborious extraction procedures. CONCLUSIONS: Despite some critical issues in contamination control, the method is easier, faster, and less expensive than traditional methods.

Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control.

Introduction: Type 1 diabetes (T1D) risk involves genetic susceptibility but also epigenetics, environment, and behaviors. Appropriate metabolic control, especially quickly after the diagnosis, is crucial for the patient quality of life. Methods: This study aimed to produce a quantitative comparison of the behavior, nutrition habits, and gut microbiota composition between the onset and the 1-year follow-up in 35 children with T1D. Results and discussion: At follow-up, with the metabolic control, many parameters improved significantly, with respect to the onset, such as glycated hemoglobin (-19%), body mass index (BMI), and also nutritional behaviors, such as normal calorie intake (+6%), carbohydrate intake (-12%), extra portion request (-4%), and meals distribution during the day. Moreover, glycated hemoglobin decrement correlated with both total and rapid absorption carbohydrate intake (Spearman's rho = 0.288, 95% CI 0.066-0.510, p = 0.013), showing as the nutritional behavior supported the insulin therapy efficiency. The next-generation sequencing (NGS) analysis of microbiota revealed abundance differences for Ruminococcus bromii and Prevotella copri (higher at onset, p < 0.001) and the genera Succinivibrio and Faecalibacterium (lower at onset, p < 0.001), as a consequence of nutritional behavior, but it was not the only changing driver. The qRT-PCR analysis showed significant variations, in particular for Bacteroidetes and Bifidobacterium spp. (+1.56 log gene copies/g stool at follow-up, p < 0.001). During the year, in 11% of the patients, severe clinical episodes occurred (hypoglycemic or ketoacidosis). The likelihood of a severe hypoglycemic episode was modulated when the Methanobrevibacter smithii amount increased (odds ratio 3.7, 95% CI 1.2-11.4, p = 0.026). Integrated evaluation, including nutritional behavior and microbiota composition, could be considered predictive of the metabolic control management for children cohort with a recent diagnosis of T1D.

Detection of faecal SARS-CoV-2 RNA in a prospective cohort of children with multisystem inflammatory syndrome (MIS-C).

BACKGROUND: Multisystem Inflammatory Syndrome in Children (MIS-C) is a rare but severe illness associated with SARS-CoV-2 infection. A dysregulated immune response is recognized as the main pathogenic mechanism. Previous studies demonstrated the presence of SARS-CoV-2 RNA in faeces of almost one-third of patients with COVID-19, while data are currently missing about MIS-C. OBJECTIVES: to evaluate faecal sample positivity to SARS-CoV-2 in MIS-C and to compare the positivity rate between MIS-C and COVID-19 hospitalised children.  DESIGN: observational descriptive study with prospective patient enrollment. SETTING AND PARTICIPANTS: the SARS-CoV-2 positivity was evaluated in stool samples obtained in a prospective series of 63 paediatric patients admitted to Regina Margherita Children's Hospital (Azienda Ospedaliero Universitaria - Città della Salute e della Scienza, Turin, Northern Italy) with diagnosis of MIS-C (N. 31) or COVID-19 (N. 32), during the first year of pandemic emergency. The real-time reverse transcription polymerase chain reaction (real-time RT-PCR), was performed using a validated kit measuring 3 target SARS-CoV-2 genes: E gene, N gene, and ORF1ab gene MAIN OUTCOME MEASURES: SARS-CoV-2 stool positivity and concomitant gastrointestinal symptoms. RESULTS: overall, 16/63 (25%) stool samples revealed the presence of SARS-CoV-2 mRNA. In patients with COVID-19, faecal samples were collected 8 days as median (IQR 7) after the presumed viral exposure and were positive in 12/31 (39%; 95%CI 23.2-56.2); among children with MIS-C, stools were collected 27.5 days as median (IQR 26.25) after presumed contact and the positivity rate was 12.5% (95%CI 4.4-27.0) (4/32). More than 80% of the children with MIS-C presented gastrointestinal symptoms, but the frequency of gastrointestinal symptoms in patients with positive stools for SARS-CoV-2 RNA is not higher than patients tested negative (p=0.092). CONCLUSIONS: MIS-C patients frequently experienced gastrointestinal symptoms, confirming the intestinal involvement in MIS-C already described in the literature. The presence of SARS-CoV-2 mRNA in faecal samples is confirmed in more than 10% of MIS-C patients and stool positivity was also detected many days after presumed first contact with the virus. This data suggests the possibility of tracing SARS-COV-2 also in faeces for a better description of its circulation and spread in the environment.

Precision Medicine and Public Health: New Challenges for Effective and Sustainable Health.

The development of high-throughput omics technologies represents an unmissable opportunity for evidence-based prevention of adverse effects on human health. However, the applicability and access to multi-omics tests are limited. In Italy, this is due to the rapid increase of knowledge and the high levels of skill and economic investment initially necessary. The fields of human genetics and public health have highlighted the relevance of an implementation strategy at a national level in Italy, including integration in sanitary regulations and governance instruments. In this review, the emerging field of public health genomics is discussed, including the polygenic scores approach, epigenetic modulation, nutrigenomics, and microbiomes implications. Moreover, the Italian state of implementation is presented. The omics sciences have important implications for the prevention of both communicable and noncommunicable diseases, especially because they can be used to assess the health status during the whole course of life. An effective population health gain is possible if omics tools are implemented for each person after a preliminary assessment of effectiveness in the medium to long term.

The Interaction among Microbiota, Epigenetic Regulation, and Air Pollutants in Disease Prevention.

Environmental pollutants can influence microbiota variety, with important implications for the general wellbeing of organisms. In subjects at high-risk of cancer, gut, and lung microbiota are distinct from those of low-risk subjects, and disease progression is associated with microbiota alterations. As with many inflammatory diseases, it is the combination of specific host and environmental factors in certain individuals that provokes disease outcomes. The microbiota metabolites influence activity of epigenetic enzymes. The knowledge of the mechanisms of action of environmental pollution now includes not only the alteration of the gut microbiota but also the interaction between different human microbiota niches such as the lung-gut axis. The epigenetic regulations can reprogram differentiated cells in response to environmental changes. The microbiota can play a major role in the progression and suppression of several epigenetic diseases. Accordingly, the maintenance of a balanced microbiota by monitoring the environmental stimuli provides a novel preventive approach for disease prevention. Metagenomics technologies can be utilized to establish new mitigation approaches for diseases induced by polluted environments. The purpose of this review is to examine the effects of particulate matter exposure on the progression of disease outcomes as related to the alterations of gut and lung microbial communities and consequent epigenetic modifications.