Retrospective chart review project of subjects receiving lumbar epidural steroid injections for low back pain associated with degenerative disc disease. The primary objective was to compare the efficacy of two different steroids used during the time period studied, methylprednisolone and triamcinolone.
ABSTRACT
Purpose: Tongue manometry (i.e. tongue pressure measurement) is a commonly used assessment for patients with suspected oral-motor involvement in swallowing disorders. Availability of lingual manometry has changed in recent years, with the introduction of the TongueometerTM device being a more affordable tongue manometry system. The purpose of this study was to test concurrent (criterion) validity of the TongueometerTM compared to the current standard reference device, the Iowa Oral Performance Instrument, IOPI®.
Method: Adults without dysphagia were recruited for participation in this study. Standard lingual measurements (swallowing-related pressures, maximum isometric pressure (MIP), and maximum isometric endurance) were recorded, with the bulb anteriorly placed, with both devices, in a randomized order. The Bland-Altman method was used to determine concurrent (criterion) validity of these measurements compared to the clinical standard IOPI® device. A recently available suggested corrective value by Curtis and colleagues (2023) was also applied, with comparisons made between devices both with and without the Curtis correction.
Results: The final sample included 70 adult participants aged 20-89 years (average age 52.3 years). Measures with the TongueometerTM device were significantly lower when compared with the same measures taken using the IOPI® (p<0.01) for all measures including MIP, endurance, and swallow pressures. The correction suggested by Curtis and colleagues did not ameliorate these differences.
Conclusions: The TongueometerTM lingual measurements were consistently lower compared to the IOPI®. Clinical use of values taken with the TongueometerTM device should be compared to normative data published for each specific device. Available features of each device (e.g. display, bulb texture, technology/application) should be considered when selecting which device to use with an individual patient.
This is a preprint of a to be submitted paper that demonstrates that: (1) many important food allergens (eggs, milk, peanuts, tree nuts) induce the unfolded protein response (UPR) in intestinal epithelial cells; (2) induction of the UPR, in turn, stimulates the expression of pro-Th2 cytokines (IL-25, IL-33, TSLP) that are required for the induction of food allergy by these cytokines; (3) egg allergy is suppressed in mouse models by the UPR inhibitor, metformin (a drug widely used to treat diabetes mellitus); and (4) metformin appears to have a protective effects in humans who have alpha-gal syndrome, which is a form of food allergy.
This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-17 to 2012-02-25 at the Warren Elementary School in Marietta, Ohio (39.393536, -81.554015). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese.
The data was collected using the TO-15 collection systems for air monitoring device. (reference - https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf)
The files included are:
The raw data - Marietta_WarrenElementraySchool_Raw.csv .
Aggregated monthly averages of the raw data - Marietta_WarrenElementraySchool_Processed.csv.
How the raw data are processed into monthly averages - Marietta_WarrenElementraySchool_WorkingFile.xlsx.
How the video is generated- Marietta_WarrenElementraySchool.ppt.
Video - Marietta_WarrenElementraySchool.mp4 - generated from Marietta_WarrenElementraySchool.ppt.
This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-17 to 2012-02-25 at the Ohio Valley Educational Service Center in Marietta, Ohio (39.443477 , -81.452199). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese
The data was collected using the TO-15 collection systems for air monitoring device. (reference - https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf)
The files included are:
The raw data - Marietta_OhioValleyEducationalServiceCenter_Raw.csv .
Aggregated monthly averages of the raw data - Marietta_OhioValleyEducationalServiceCenter_Processed.csv.
How the raw data are processed into monthly averages - Marietta_OhioValleyEducationalServiceCenter_WorkingFile.xlsx.
How the video is generated- Marietta_OhioValleyEducationalServiceCenter.ppt.
Video - Marietta_OhioValleyEducationalServiceCenter - generated from Marietta_OhioValleyEducationalServiceCenter.ppt.
This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool East Elementary School, in East Liverpool, Ohio (40.635093 , -80.545558). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese.
The data was collected using the TO-15 collection systems for air monitoring device. (reference - https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf)
The files included are:
The raw data - EastLiverpoolEastElementarySchool_Raw.csv .
Aggregated monthly averages of the raw data - EastLiverpoolEastElementarySchool_Processed.csv.
How the raw data are processed into monthly averages - Marietta_EastLiverpoolEastElementarySchool_WorkingFile.xlsx.
How the video is generated- EastLiverpoolEastElementarySchool.ppt.
Video - EastLiverpoolEastElementarySchool- generated from EastLiverpoolEastElementarySchool.ppt.
This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool Water Treatment Plant, in East Liverpool, Ohio (40.639501 , -80.523561). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese
The data was collected using the TO-15 collection systems for air monitoring device. (reference - https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf)
The files included are:
The raw data - EastLiverpool_WaterTreatmentPlant_Raw.csv .
Aggregated monthly averages of the raw data - EastLiverpool_WaterTreatmentPlant_Processed.csv.
How the raw data are processed into monthly averages - Marietta_EastLiverpool_WaterTreatmentPlant_WorkingFile.xlsx.
How the video is generated- EastLiverpool_WaterTreatmentPlant.ppt.
Video - EastLiverpool_WaterTreatmentPlant- generated from EastLiverpool_WaterTreatmentPlant.ppt.
This program is meant to batch process ELISA standard curve data to generate Levey-Jennings control charts and report values that fall outisde of 2 and 3 standard deviations of the mean. The Instruction Manual contains a detailed guide on usage.
ABSTRACT
Helicobacter pylori (H. pylori) is the major risk factor for the development of gastric cancer. Our laboratory has reported that the Sonic Hedgehog (Shh) signaling pathway is an early response to infection that is fundamental to the initiation of H. pylori-induced gastritis. H. pylori also induces programmed death ligand 1 (PD-L1) expression on gastric epithelial cells, yet the mechanism is unknown. We hypothesize that H. pylori-induced PD-L1 expression within the gastric epithelium is mediated by the Shh signaling pathway during infection. To identify the role of Shh signaling as a mediator of H. pylori-induced PD-L1 expression, human gastric organoids generated from either induced pluripotent stem cells (HGOs) or tissue (huFGOs) were microinjected with bacteria and treated with Hedgehog/Gli inhibitor GANT61. Gastric epithelial monolayers generated from the huFGOs were also infected with H. pylori and treated with GANT61 to study the role of Hedgehog signaling as a mediator of induced PD-1 expression. A patient-derived organoid/autologous immune cell co-culture system infected with H. pylori and treated with PD-1 inhibitor (PD-1Inh) was developed to study the protective mechanism of PD-L1 in response to bacterial infection. H. pylori significantly increased PD-L1 expression in organoid cultures 48 hours post-infection when compared to uninfected controls. The mechanism was cytotoxic associated gene A (CagA) dependent. This response was blocked by pretreatment with GANT61. Anti-PD-L1 treatment of H. pylori infected huFGOs, co-cultured with autologous patient cytotoxic T lymphocytes and dendritic cells, induced organoid death. H. pylori-induced PD-L1 expression is mediated by the Shh signaling pathway within the gastric epithelium. Cells infected with H. pylori that express PD-L1 may be protected from the immune response, creating premalignant lesions progressing to gastric cancer.
The Retrosplenial Cortex (RSC) has a persistent role in the establishment of spatial and contextual memory, with also the connections between visuo-spatial association cortices. The RSC’s ability to form afferent and efferent connections with the Parahippocampal areas of the brain allow it to be another prime location in the brains of both rodents and humans where multiple cues are linked together in memory formation, storage and retrieval of Long Term Memories. Due to the high nature of memory formation and retrieval, the RSC has become a section of the brain that in recent years has been more heavily focused on for the research of Alzheimer’s and Dementia. The RSC has not been examined fully in previous studies with examination of the expression of the apolipoprotein E (APOE) gene along with other genetic and regulatory factors. There are 3 major alleles of the APOE gene (APOE2, APOE3, and APOE4), with APOE4 having the greatest risk for AD. In this research, I identify the relative connection between DEK the proto-oncogene and APOE3 and APOE4 in a rodent model, looking specifically at the RSC and how it affects spatial memory with an induced model of chronic stress.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.