Widespread transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in a global coronavirus disease 2019 (COVID-19) pandemic that is straining medical resources worldwide. In the United States (US), hospitals and clinics are challenged to accommodate surging patient populations and care needs while preventing further infection spread. Under such conditions, meeting with patients via telehealth technology is a practical way to help maintain meaningful contact while mitigating SARS-CoV-2 transmission. The application of telehealth to nutrition care can, in turn, contribute to better outcomes and lower burdens on healthcare resources. To identify trends in telehealth nutrition care before and during the pandemic, we emailed a 20-question, qualitative, structured survey to approximately 200 registered dietitian nutritionists (RDNs) from hospitals and clinics that have participated in the Malnutrition Quality Improvement Initiative (MQii). RDN respondents reported increased use of telehealth-based care for nutritionally at-risk patients during the pandemic. They suggested that use of such telehealth nutrition programs supported positive patient outcomes, and some of their sites planned to continue the telehealth-based nutrition visits in post-pandemic care. Nutrition care by telehealth technology has the potential to improve care provided by practicing RDNs, such as by reducing no-show rates and increasing retention as well as improving health outcomes for patients. Therefore, we call on healthcare professionals and legislative leaders to implement policy and funding changes that will support improved access to nutrition care via telehealth.The inoculation of one-day-old broiler chicks with the cecal contents from a mature broiler breeder resulted in a highly diverse and uniform cecal bacterial community. CM did not affect feed consumption, weight gain, nor the richness, evenness, or diversity of the cecal bacterial community. However, the structure of the bacterial community was altered in birds fed the CM diet. Although the CM diet was formulated to contain equivalent metabolizable energy to the control diet, it contained more dietary fiber. The abundance of bacterial families, including those that are known to contain species able to metabolize fiber was altered (e.g., bacteria within the families, Methanobacteriaceae, Atopobiaceae, Prevotellaceae, Clostridiales Family XIII, Peptostreptococcaceae, and Succinivibrionaceae), and concentrations of SCFAs were higher in the ceca of birds fed the CM diet. Moreover, concentrations of isoleucine, isobutyrate, glutamate, and 2-oxoglutarate were higher, whereas concentrations of phenyllactic acid, indole, glucose, 3-phenylpropionate, and 2-oxobutyrate were lower in the digesta of chickens that were fed CM. The metabolic profiles of pancreas, liver, and breast muscle tissues of birds fed the CM diet differed from control birds. Metabolites that were associated with energy production, protection against oxidative stress, and pathways of amino acid and glycerophospholipid metabolism had altered concentrations in these tissues. Some of the observed changes in metabolite levels may indicate an increased disease risk in birds fed the CM diet (e.g., pancreatitis), and others suggested that birds mounted metabolic response to offset the adverse impacts of CM (e.g., oxidative stress in the liver).Since December 2019, SARS-CoV-2 infection has been still rapidly spreading, resulting in a pandemic, followed by an increasing number of cases in countries throughout the world. The severity of the disease depends on the patient's overall medical condition but no appropriate markers are available to establish the prognosis of the patients. We performed a 16S rRNA gene sequencing, revealing an altered composition of the nasal/oropharyngeal (NOP) microbiota in 21 patients affected by COVID-19, paucisymptomatic or in an Intensive Care Unit (ICU), as compared to 10 controls negative for COVID-19 or eight affected by a different Human Coronavirus (HKU, NL63 and OC43). A significant decrease in Chao1 index was observed when patients affected by COVID-19 (in ICU) were compared to paucisymptomatic. Furthermore, patients who were in ICU, paucisymptomatic or affected by other Coronaviruses all displayed a decrease in the Chao1 index when compared to controls, while Shannon index significantly decreased only in patients under ICU as compared to controls and paucisymptomatic patients. At the phylum level, Deinococcus-Thermus was present only in controls as compared to SARS-CoV-2 patients admitted to ICU, paucisymptomatic or affected by other coronaviruses. Candidatus Saccharibacteria (formerly known as TM7) was strongly increased in negative controls and SARS-CoV-2 paucisymptomatic patients as compared to SARS-CoV-2 ICU patients. Other modifications were observed at a lower taxonomy level. Complete depletion of Bifidobacterium and Clostridium was exclusively observed in ICU SARS-CoV-2 patients, which was the only group characterized by the presence of Salmonella, Scardovia, Serratia and Pectobacteriaceae. In conclusion, our preliminary results showed that nasal/oropharyngeal microbiota profiles of patients affected with SARS-CoV-2 may provide valuable information in order to facilitate the stratification of patients and may open the way to new interventional strategies in order to ameliorate the outcome of the patients.The aim of the present study was to analyze the association among systemic sclerosis (SSc), periodontitis (PT); we also evaluated the impact of PT and SSc on vitamin D levels. this website Moreover, we tested the association with potential confounders. A total of 38 patients with SSc, 40 subjects with PT, 41 subjects with both PT and SSc, and 41 healthy controls were included in the study. The median vitamin D levels in PT subject were 19.1 (17.6-26.8) ng/mL, while SSc + PT group had vitamin d levels of 15.9 (14.7-16.9) ng/mL, significantly lower with respect to SSc patients (21.1 (15.4-22.9) ng/mL) and to healthy subjects (30.5 (28.8-32.3) ng/mL) (p less then 0.001). In all subjects, vitamin D was negatively associated with c-reactive protein (CRP) (p less then 0.001) and with probing depth (PD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque score (PI) (p less then 0.001 for all parameters) and positively related to the number of teeth (p less then 0.001). Moreover, univariate regression analysis demonstrated an association among high low-density lipoproteins (LDL) cholesterol (p = 0.