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- Creator:
- Umberfield, Elizabeth, Ford, Kathleen, Stansbury, Cooper, and Harris, Marcelline R.
- Description:
- Research Overview: This dataset is clinical consent forms, collected as part of Dr. Elizabeth Umberfield's dissertation research of at the University of Michigan. 134 consent forms are used in the analysis, 102 of which are shared here (not all are shared due to data protection agreements with participating sites). The research aimed to enable representation of clinical consent forms and their permissions within the Informed Consent Ontology. These efforts were supported by the Rackham Graduate Student Research Grant, and Dr. Umberfield's doctoral training was supported by the Robert Wood Johnson Foundation Future of Nursing Scholars Program.
- Keyword:
- Consent, Consent Form, Informed Consent, Health Care, and Healthcare
- Citation to related publication:
- Umberfield, E., Jiang, Y., Fenton, S., Stansbury, C., Ford, K., Crist, K., Kardia, S., Thomer, A., & Harris, M. R. (In Press). Lessons Learned for Identifying and Annotating Permissions in Clinical Consents. Applied Clinical Informatics. and Umberfield, E., Stansbury, C., Ford, K., Jiang, Y., Kardia, S. L. R., Thomer, A., & Harris, M. R. (Under Review). Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.
- Discipline:
- Health Sciences
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- Creator:
- Stringer, Kathleen A.
- Description:
- These data were produced from the survival analysis of the pre-treatment metabolomics data generated from the Phase II clinical trial of L-carnitine treatment for septic shock (the RACE trial - see https://clinicaltrials.gov/ct2/show/NCT01665092). The results based on respective acetylcarnitine or valine concentration are presented (pdf). The csv files contain the at risk numbers from the Kaplan-Meier survival analysis. These findings described in our manuscript: Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. and All of the metabolomics data are available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org which is supported by NIH grant U2C-DK119886 and where it has been assigned Project ID (accession number ST001319). The data can be accessed directly via its Project DOIs: (DOI: http://dx.doi.org/10.21228/M8VX0Z).
- Keyword:
- sepsis, septic shock, survival, mortality, metabolomics, and pharmacometabolomics
- Citation to related publication:
- Puskarich, M. A., Jennaro, T. S., Gillies, C. E., Evans, C. R., Karnovsky, A., McHugh, C. E., Flott, T. L., Jones, A. E., Stringer, K. A., & Investigators, O. behalf of the R. T. (2021). Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. (Preprint) https://doi.org/10.1101/2021.01.28.21250687
- Discipline:
- Health Sciences
-
- Creator:
- Whitaker, Steven T., Nataraj, Gopal, Nielsen, Jon-Fredrik, and Fessler, Jeffrey A.
- Description:
- File: P,jf06Sep2019,mese.7 The multi-echo spin echo (MESE) data was acquired using a 3D acquisition with an initial 90 degree excitation pulse followed by 32 refocusing (180 degree) pulses, resulting in 32 echoes with echo spacing of 10 ms. The repetition time of the sequence was 1200 ms. Each refocusing pulse was flanked by crusher gradients to impart 14 cycles of phase across the imaging volume. The initial excitation pulse had time-bandwidth product of 6, duration of 3 ms, and slab thickness of 0.9 cm, and each refocusing pulse had time-bandwidth product of 2, duration of 2 ms, and slab thickness of 2.1 cm. The scan took 36 min 11 s and covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: P,jf06Sep2019,b1.7 The Bloch-Siegert (BS) scans were acquired using a 3D acquisition. The excitation pulse of these scans had time-bandwidth product of 8 and duration of 1 ms. The pair of scans used +/-4 kHz off-resonant Fermi pulses between excitation and readout. The BS scans took 2 min 40 s in total and covered a FOV of 22 x 22 x 0.99 cm^3 with matrix size 200 x 50 x 9., File: P,jf06Sep2019,mwf.7 The small-tip fast recovery (STFR) scans were acquired using a 3D acquisition. The first two and last two scans were pairs of spoiled gradient-recalled echo (SPGR) scans with echo time difference of 2.3 ms. (In the related paper, only the first set was used, i.e., only 11 of the 13 scans were used.) The remaining scans used scan parameters that were optimized to minimize the Cramer-Rao Lower Bound (CRLB) of estimates of myelin water fraction (MWF). The RF pulses had time-bandwidth product of 8 and duration of 1 ms. Each pair of SPGR scans took 58 s and the nine STFR scans took 3 min 36 s for a total scan time of 5 min 32 s (4 min 34 s if one pair of SPGR scans is ignored). The scans covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: meseslice5.mat Contains the 32 echoes of the MESE image data for the middle slice of the imaging volume. Saved using Mathworks MATLAB R2019a., File: b1slice5.mat Contains the transmit field inhomogeneity map for the middle slice of the imaging volume., File: recon.jld Key "img" contains the 11 STFR images for the middle slice of the imaging volume. Key "b0map" contains a field map estimated from the two SPGR scans. Key "mask" contains a mask of the voxels for which to estimate MWF. Key "T1img" contains a T1-weighted image for anatomical reference., File: headmask.mat Contains a mask for visualizing just the brain (ignores the skull) for the middle slice of the imaging volume., File: rois.mat Contains masks for various regions of interest (ROIs), used for computing statistics. Keys "mtopleft", "mtopright", "mbottomleft", and "mbottomright" refer to the corresponding locations on the anatomical reference image (see related paper). Key "mic" refers to the internal capsules, and key "mgm" refers to a gray matter ROI., The raw data files (P-files) can be read into the Julia programming language using the Julia version of the Michigan Image Reconstruction Toolbox ( https://github.com/JeffFessler/MIRT.jl) or into MATLAB using TOPPE ( https://github.com/toppeMRI/toppe). The reconstructed slices used in the related paper are provided for convenience, and are stored in .mat files that can be loaded into Julia (using the package MAT.jl) or MATLAB, and a .jld file that can be loaded into Julia (using the package JLD.jl). The Julia code for processing the data to create MWF maps is hosted publicly on GitHub at https://github.com/StevenWhitaker/STFR-MWF., and Files: toppe-master.zip and MIRT.jl-master.zip are archived versions of the TOPPE and Michigan Image Reconstruction Toolbox code sets from GitHub as of 2/28/2020.
- Keyword:
- myelin, machine learning, kernel learning, magnetic resonance imaging, and scan design
- Citation to related publication:
- Whitaker, S. T., Nataraj, G., Nielsen, J.-F., & Fessler, J. A. (2020). Myelin water fraction estimation using small-tip fast recovery MRI. Magnetic Resonance in Medicine, 84(4), 1977–1990. https://doi.org/10.1002/mrm.28259
- Discipline:
- Health Sciences and Engineering
-
- Creator:
- Hatch, Nan E.
- Description:
- Crouzon FGFR2-C342Y/+ and wild type littermate pups on a C57BL/6 congenic background were injected with lentivirus expressing recombinant TNAP enzyme or phosphate buffered saline shortly after birth. Mice were euthanized 3 weeks after birth for analyses.
- Keyword:
- craniofacial, bone, craniosynotosis, FGFR2, TNAP tissue nonspecific alkaline phosphatase, mouse model, and development
- Citation to related publication:
- Nam, H. K., Vesela, I., Schutte, S. D., & Hatch, N. E. (2020). Viral delivery of tissue nonspecific alkaline phosphatase diminishes craniosynostosis in one of two FGFR2C342Y/+ mouse models of Crouzon syndrome. PLOS ONE, 15(5), e0234073. https://doi.org/10.1371/journal.pone.0234073
- Discipline:
- Health Sciences
-
- Creator:
- Tronson, Natalie C and Tchessalova, Daria
- Description:
- The main goal of this research was to identify potential molecular pathways that contribute to memory dysregulation and decline that persists long after illness or inflammation. We have previously established a subchronic immune challenge model that results in memory impairments months after the inflammatory challenge. This project aimed to determine whether memory impairments were accompanied by transcriptional dysregulation in memory related brain region (the hippocampus). These data show the differential gene expression as log2fold change (and p-value) in males and females 3 months after immune challenge (Supp Tables 1 and 2); after a subsequent immune challenge (Supp Tables 3 and 4); the differential regulation of genes in males and females (Supp Table 5); genes differentially expressed in the hippocampus of males and females at baseline (Supp Table 6) and the differential regulation of those genes in males and females after immune challenge (Supp Tables 7,8).
- Keyword:
- hippocampus, lipopolysaccharide, differential gene expression, RNA sequencing, neuroimmune, sex differences, learning and memory, and inflammation
- Citation to related publication:
- Tchessalova, D., & Tronson, N. C. (2019). Enduring and sex-specific changes in hippocampal gene expression after a subchronic immune challenge. BioRxiv, 566570. https://doi.org/10.1101/566570
- Discipline:
- Science and Health Sciences
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- Creator:
- Crisp, Dakota N., Cheung, Warwick, Gliske, Stephen V., Lai, Alan, Freestone, Dean R., Grayden, David B., Cook, Mark J., and Stacey, William C.
- Description:
- The data and the scripts are to show that seizure onset dynamics and evoked responses change over the progression of epileptogenesis defined in this intrahippocampal tetanus toxin rat model. All tests explored in this study can be repeated with the data and scripts included in this repository. and Dataset citation: Crisp, D.N., Cheung, W., Gliske, S.V., Lai, A., Freestone, D.R., Grayden, D.B., Cook, MJ., Stacey, W.C. (2019). Epileptogenesis modulates spontaneous and responsive brain state dynamics [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/r6vg-9658
- Keyword:
- evoked response, stimulation, bifurcation, epilepsy, seizure, divergence, and dynamics
- Citation to related publication:
- Crisp, D. N., Cheung, W., Gliske, S. V., Lai, A., Freestone, D. R., Grayden, D. B., Cook, M. J., & Stacey, W. C. (2020). Quantifying epileptogenesis in rats with spontaneous and responsive brain state dynamics. Brain Communications, 2(1). https://doi.org/10.1093/braincomms/fcaa048
- Discipline:
- Science, Engineering, and Health Sciences
-
- Creator:
- Figueroa, C. Alberto
- Description:
- This information provides the data and commands to manually setup the computational simulations used in the PLOS ONE paper 'Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille’s syndrome' using CRIMSON (CARDIOVASCULAR INTEGRATED MODELLING & SIMULATION) a prototype simulation environment developed under the support of the European Research Council (( http://www.crimson.software/)., Note that a Windows version of the CRIMSON flowsolver is provided as part of the CRIMSON Windows installer, but you will need a very powerful Windows computer to run these simulations, as the models used in the present work are extremely computationally-demanding. It is recommended that you use a Linux version of the CRIMSON flowsolver on a high-performance computer., Option 1 (ready-to-use files to immediately start the simulation): 1. Please unzip the Ready-to-use files. 2. Copy the folders of each of the three conditions to the high performance computer. 3. In addition to different codes used, each folder provides the boundary conditions applied in the simulations described in the manuscript (e.g. LPN parameters). To run the 3D simulations for each condition simply launch the it using the CRIMSON flowsolver. In addition, the solver.inp file can be modified to run a 0D "real-time simulation" (please open solver.inp with a text editor and modify line 4 "Simulate in Purely Zero Dimensions:" to "True")., Option 2 (using the MITK files): 1. Please download and install Crimson software ( http://www.crimson.software/). 2. Please unzip the MITK files and the Ready-to-use files. 3. From amongst the provided MITK files, load the MITK file of interest to CRIMSON (using the MITK files, additional changes can be made to the computational model in case the user wants to explore different settings/boundary conditions e.g. change the vascular wall properties, introducing a change in the geometry to create a virtual stenosis). 3. Navigate to the tree in the "Data Manager" panel and select the "Pulmonaries", "CRIMSON SOLVER" and then "Solver study 3D" items, in the described order. 4. In the right hand panel select the "CRIMSON Solver setup" tab and scroll down the right hand bar until to find the "Setup Solver" box; click to output the simulation files (faceInfo.dat, geombc.dat.1, multidomain.dat, netlist_surface.dat,numstart.dat, presolver folder, solver.inp, restart.0.1). 5. Copy and replace the geombc.dat.1 and restart.0.1 generated by CRIMSON for each individual condition to the respective unziped folder in the Ready-to-use file (discard the remaining files that were output by CRIMSON). Note that if you have not changed anything about the model (e.g. vascular wall properties), then doing this will produce restart.0.1 and geombc.dat.1 files which are identical to the ready-to-use versions. 6. Finally copy each Condition folder to the high performance computer and simply launch the simulation using the CRIMSON flowsolver., and For technical queries please contact crimson-users@googlegroups.com. --October 2018.
- Citation to related publication:
- Silva Vieira M, Arthurs CJ, Hussain T, Razavi R, Figueroa CA (2018) Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille’s syndrome. PLOS ONE 13(11): e0205829. https://doi.org/10.1371/journal.pone.0205829
- Discipline:
- Engineering and Health Sciences
-
- Creator:
- Lee, Kyu Han
- Description:
- Data include variables used to run accelerated failure time models examining the association between the nose/throat microbiome and 1) symptom duration, 2) shedding duration, and 3) time to infection. Certain individual participant data have been excluded due to identifiability concerns. Data also include the oligotype count table and taxonomic classifications.
- Keyword:
- Influenza and Microbiome
- Citation to related publication:
- Lee KH, Gordon A, Shedden K, Kuan G, Ng S, Balmaseda A, Foxman B. The respiratory microbiome and susceptibility to influenza virus infection. PloS One. 2019;14:e0207898. https://doi.org/10.1371/journal.pone.0207898
- Discipline:
- Health Sciences
-
- Creator:
- George De la Rosa, Mery Vet, Patel, Dipali, McCann, Marc R., Stringer, Kathleen A., and Rosania, Gus R.
- Description:
- These data were produced from a study that employed a database strategy to identify candidate mitochondrial metabolites that could be clinically useful to identify individuals at increased risk of mitochondrial-related ADRs. The main candidate metabolite identified by the database strategy was evaluated using a mouse model of mitochondrial drug toxicity. These findings are described in our manuscript: Database Screening as a Strategy to Identify Endogenous Candidate Metabolites to Probe and Assess Mitochondrial Drug Toxicity. Data reported was supported by funding from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) under award numbers R01GM127787 (GRR) & R35GM136312 (KAS).
- Keyword:
- mitochondrial-realted metabolites, adverse drug reactions, and mitochondrial drug toxicity
- Discipline:
- Health Sciences
-
- Creator:
- Bacon, Elizabeth, Hanson, Erika N., Austin, Sarah, Delacroix, Emerson, Uhlmann, Wendy, Roberts, Scott, and Resnicow, Ken
- Description:
- Survey respondents were cancer-affected patients seen at an academic medical center, and self-reported experiences with genetic testing and counseling. This is raw dataset is saved in comma separated value (.csv) format.
- Keyword:
- Genetic Testing, Clinician Recommandation , NCCN Guidelines, Hereditary Genetic Testing, and Disparities in Genetic Counseling
- Citation to related publication:
- American Association of Kidney Patients: A List of Support Groups in Michigan. https://aakp.org/wp-content/uploads/2020/06/Support-Groups-Michigan.pdf
- Discipline:
- Science and Health Sciences