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Abstract Background Whereas the antimicrobial peptides hBD-2 and -3 are related to inflammation, the constitutively expressed hBD-1 might function as 8p tumour suppressor gene and thus play a key role in control of transcription and induction of apoptosis in malignant epithelial tumours. Therefore this study was conducted to characterise proteins involved in cell cycle control and host defence in different benign and malignant salivary gland tumours in comparison with healthy salivary gland tissue. Methods 21 paraffin-embedded tissue samples of benign (n = 7), and malignant (n = 7) salivary gland tumours as well as healthy (n = 7) salivary glands were examined immunohistochemically for the expression of p53, bcl-2, and hBD-1, -2, -3. Results HBD-1 was distributed in the cytoplasm of healthy salivary glands and benign salivary gland tumours but seems to migrate into the nucleus of malignant salivary gland tumours. Pleomorphic adenomas showed cytoplasmic as well as weak nuclear hBD-1 staining. Conclusion HBD-1, 2 and 3 are traceable in healthy salivary gland tissue as well as in benign and malignant salivary gland tumours. As hBD-1 is shifted from the cytoplasm to the nucleus in malignant salivary gland tumours, we hypothesize that it might play a role in the oncogenesis of these tumours. In pleomorphic adenomas hBD-1 might be connected to their biologic behaviour of recurrence and malignant transformation.

Farmers are exposed to high concentrations of grain dust when working in their on-farm grain storage facilities. Grain dust poses significant health risks to agricultural workers and leads to respiratory diseases like organic dust toxic syndrome (ODTS), chronic bronchitis, and hypersensitivity pneumonitis (Farmer's Lung). With long-term exposure, grain dust can also affect lung function. On-farm exposure monitoring suggests dust concentrations change as bin operations and farmers' work practices change. The objective of this research was to use a Grain Dust Simulator (GDS) to identify significant factors that may affect the respirable dust concentrations in grain bins. Mechanical factors like ventilation systems and augers, as well as environmental factors including temperature and relative humidity, were simulated in the GDS. Statistical models were developed from the results of the experimental dust simulations to determine the significant factors. The results of the models showed that an increase of the auger rotation speed could increase the respirable dust concentrations in the GDS. An increase in the airflow rate supplied by the ventilation system decreased the respirable dust concentrations in the GDS. The lab simulation provides a guide for researchers to translate findings to farmers on what could potentially affect the respirable dust concentrations in their grain bins. Furthermore, the negative effect of the ventilation system offers a new control strategy for farmers to decrease the grain dust exposure level in their grain bins. The results will be used to better understand the agricultural workplace and find additional controls to improve air quality in on-farm grain bin storage facilities. [ABSTRACT FROM AUTHOR]

The study purpose was a needs assessment, to identify and quantify health behavior risk-factors of Ohio farmers in sleep, mental health, fruit/vegetable serving frequency, physical activity, tobacco, alcohol and illicit drug use, and weight status. Guided by the RE-AIM implementation framework, the research question was What behavioral choices pose health risk factors for Ohio farmers? This cross-sectional, quantitative, descriptive study used Qualtrics' hyperlinks, QR codes, or paper-and-pencil surveys to collect data on seven focused health behaviors. The survey combined valid and reliable public domain questionnaires. The target audience included Ohio farmers representing various commodities. Extension educators at the county, regional, and state level provided access and data collection during their existing community-based programs and annual pesticide training sessions. The survey has been opened from January 20, 2020 to December 5, 2020 with modified recruitment during COVID. A convenience sample of 505 farmers participated. The majority self-identified as male, married, white, non-Latino, and worked full-time. The most frequent commodity was field crops. Most farmers reported 7-to-8 h of sleep, but the MOS SLP6 subscale indicated 89.5% of the farmers reported a score greater than 51. The two PHQ-2 questions showed 9.6% of the farmers scored >3, indicating a likely major depression disorder. Fruit and vegetable serving frequency appeared less than dietary recommendations. Time spent in physical activity did not meet guidelines. Almost 80% of the farmers said they did not use tobacco; the most common choice was chews and snuffs. Audit-C showed 31.4% of the men and 27.7% of the women can be categorized as hazardous drinkers. Illicit drug use was reported by 3.7%. Most farmers were obese or overweight. Male respondents were 83.5% overweight or obese; females 70.8% were overweight or obese. Males ages 55–64 years were mostly likely to be obese (58%) followed by males ages 35–44 years (46%). Results were compared to Ohio's Behavioral Risk Factor Surveillance System. These data will assist county Extension educators in identifying health prevention programming important for farm populations, utilizing community resources and services. While the findings of Ohio farmers may not be generalizable to other state farming communities, this survey and lessons learned can serve as a model for other Extension assessments. [ABSTRACT FROM AUTHOR]

Grain dust consists of grain particles, insect parts, silica, bacteria, fungi, and mycotoxins. The size of these airborne particulates is a concern because they can become deeply lodged in the respiratory tract. Exposure to grain dust can diminish overall lung function and lead to respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), organic dust toxic syndrome (ODTS), chronic bronchitis, and hypersensitivity pneumonitis (farmer's lung). Grain storage and handling facilities are primary work locations with high levels of grain dust concentrations. The objective of this study was to understand farmers' exposure to grain dust while cleaning and unloading their grain bins. During on-farm dust sampling, researchers visited farms to collect dust samples for analysis. Two types of samples were taken. Integrated samples provided average concentrations of total dust and respirable dust while farmers performed their normal tasks in the grain bin. Real-time samples provided instantaneous concentrations of respirable dust (RESP) and total suspended particles (TSP) and how the variations changed during the farmers' working periods. From the data collected in corn storage bins, RESP concentrations ranged from 4.1 to 6.6 mg m-3, and TSP concentrations ranged from 33 to 70.7 mg m-3. From the data collected in soybean storage bins, RESP concentrations ranged from 1.6 to 82.3 mg m-3, and TSP concentrations ranged from 8.9 to 146.8 mg m-3. Based on the calculated 8-hour time-weighted average (TWA) concentration of all samples, 18.2% of the 8-hour TWA RESP concentrations exceeded the ACGIH-recommended respirable dust concentration of 3 mg m-3, and 27.3% of the 8-hour TWA TSP concentrations exceeded the ACGIH-recommended total dust concentration of 610 mg m-3. The results strengthen the need for relevant agricultural safety education programs to help farm workers understand the health hazards associated with grain dust. [ABSTRACT FROM AUTHOR]

Periodontitis is characterized by alveolar bone loss leading to tooth loss. A small proportion of patients develop severe periodontitis at the juvenile or adolescent age without exposure to the main risk factors of the disease. It is considered that these cases carry rare variants with large causal effects, but the specific variants are largely unknown. In this study, we performed exome sequencing of 5 families with children who developed stage IV, grade C, periodontitis between 3 and 18 y of age. In 1 family, we found compound heterozygous variants in the gene CTSC (p.R272H, p.G139R), 1 of which was previously identified in a family with prepubertal periodontitis. Subsequent targeted resequencing of the CTSC gene in 24 patients <25 y of age (stage IV, grade C) identified the known mutation p.I453V (odds ratio = 4.06, 95% CI = 1.6 to 10.3, P = 0.001), which was previously reported to increase the risk for adolescent periodontitis. An affected sibling of another family carried a homozygous deleterious mutation in the gene TUT7 (p.R560Q, CADD score >30 [Combined Annotation Dependent Depletion]), which is implicated in regulation of interleukin 6 expression. Two other affected siblings shared heterozygous deleterious mutations in the interacting genes PADI1 and FLG (both CADD = 36), which contribute to the integrity of the environment–tissue barrier interface. Additionally, we found predicted deleterious mutations in the periodontitis risk genes ABCA1, GLT6D1, and SIGLEC5. We conclude that the CTSC variants p.R272H and p.I453V have different expressivity and diagnostic relevance for prepubertal and adolescent periodontitis, respectively. We propose additional causal variants for early-onset periodontitis, which also locate within genes that carry known susceptibility variants for common forms. However, the genetic architecture of juvenile periodontitis is complex and differs among the affected siblings of the sequenced families. [ABSTRACT FROM AUTHOR]

Poor health habits correlate with morbidity and mortality. Rural communities often have decreased access to prevention programs and health care. As a state highly dependent on agriculture, this study identifies rural health services for Ohio farmers. This cross-sectional, descriptive study surveys key informants in Ohio at rural health clinics, critical access hospitals, health departments, Ohio State University (OSU) Extension offices, migrant clinics, and Federally Qualified Health Centers about the types of services available to address eight health behaviors. Key informants were invited via email and U.S. Postal Service to complete an electronic survey. After service types were identified, additional information to describe format, barriers to delivery and perceived importance of the service was asked. Of Ohio's 75 rural counties, 51 counties are represented in the data by at least one participating organization. Nutrition/healthy eating-related health services are provided most often by organizations (95.8%) and sleep services were least often reported (49.5%). The other health behaviors services (sun/UV exposure, physical activity, mental health, tobacco cessation, alcohol/substance abuse, and opioid abuse) fell in-between. Organizations are most likely to offer health education resources in print or web-based format across all health behaviors except for sleep, where social media promotion are the most common. The largest barrier to providing any type of health service is a lack of personnel. Providing health behavior services to farmers and farm families is important for improving their overall health. Documenting available services will assist the rural health community in future collaborative wellness projects. [ABSTRACT FROM AUTHOR]