1,726,598 research outputs found
Effect of water suppression and metabolite cycling on quantification of 1H MRS spectra in the human brain at 3 Tesla
No full textThe deposited data contain:
1) Ten datasets from five subjects, where each subject includes two water-suppressed metabolite spectra acquired using VAPOR and MC, along with the corresponding two water-reference scans acquired using VAPOR and MC.
2) Two datasets of macromolecule (MM) spectra, acquired using VAPOR and MC water-suppression techniques, summed across five subjects.
All datasets have been pre-processed (frequency, phase, and eddy-current correction applied) and summed. The data are provided in ASCII format.
For the metabolite datasets:
Column 1: real part of the metabolite FID
Column 2: imaginary part of the metabolite FID
Column 3: real part of the water FID
Column 4: imaginary part of the water FID
For the macromolecule datasets:
Column 1: real part of the MM FID
Column 2: imaginary part of the MM FID
All MRS data were acquired using a semi-LASER sequence (TE = 28 ms, spectral width = 6000 Hz, B₀ = 123.23 MHz). See the corresponding paper for additional details.Purpose: This study investigates the effect of VAPOR water suppression and metabolite cycling on metabolite quantification and macromolecules in proton magnetic resonance spectroscopy.
Methods: Single-voxel semi-LASER spectra (TR/TE=3000/28ms) and metabolite-nulled spectra (macromolecules) were acquired in 5 healthy subjects in the posterior cingulate cortex at 3T using two different water suppression schemes: VAPOR or metabolite-cycling (MC). Post-processed spectra were quantified using LCModel. Metabolites concentrations were compared between the two schemes.
Results: Region specific differences in macromolecules resonances were observed and the concentration of most metabolites was significantly higher when using MC compared to VAPOR. The difference was most pronounced for total creatine (-14% with VAPOR vs. MC, P<0.05).
Conclusion: The macromolecules spectrum included in the LCModel basis set must be measured with the same water suppression scheme as the metabolite spectrum for accurate quantification.This work was supported by NIH grants: R01 EB030000, P41 EB027061, P30 NS076408 and 1S10OD017974-01.Deelchand, Dinesh Kumar; Henry, Pierre-Gilles. (2026). Effect of water suppression and metabolite cycling on quantification of 1H MRS spectra in the human brain at 3 Tesla. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/278916
NMR based Synovial fluid metabolomics analysis of Reactive arthritis, Rheumatoid arthritis and Osteoarthritis
No full textReactive arthritis (ReA) is an inflammatory arthritis that often develops 2–4 weeks after an extraarticular infection with Chlamydia, Salmonella, Shigella, Campylobacter, and Yersinia species. Synovial fluid (SF) represents the diseased process under pathological conditions and its distinctive metabolic profiles may provide the diagnostic capacity and understanding of the disease state of reactive arthritis (ReA). The aim of this study is to identify characteristic metabolic changes that could differentiate ReA from non-ReA groups. The metabolic profiles of SF collected from ReA (n=58), rheumatoid arthritis (RA, n=21) and osteoarthritis (OA, n=20) patients were measured using NMR spectroscopy and compared using orthogonal partial least-squares discriminant analysis (OPLS-DA). Further, the receiver-operating characteristic (ROC) curve analysis was performed to establish the diagnostic potential of discriminatory metabolites. Finally, the correlation analysis of 38 metabolites between paired SF and serum from ReA patients was done using Pearson rank coefficient (r). The metabolomics profiles in synovial fluid were distinct between ReA, RA, and OA. The OPLS-DA demonstrated a distinctive metabolite profile of synovial fluid of ReA patient compare to RA RA and OA. Fourteen metabolites were obtained by VIP values of greater than 1 for both groups (ReA vs OA and ReA vs RA) and 12 and 6 of them were selected as potential biomarkers by student t-test for ReA vs OA and ReA vs RA groups. We utilized receiver operating characteristic analysis to determine the diagnostic value of each metabolite and identified in ReA compare to RA and OA as potential biomarkers, with an area under the ROC curve >0.8. A panel of six metabolites (NAG, glutamate, glycerol, isoleucine, alanine and glucose from ReA vs OA group) and two metabolites (alanine and carnitine from ReA vs RA group) was identified as a specific biomarker of ReA. Finally, the pearson correlation coefficient (r) between serum and SF ranged from -0.17 to 0.87 for each of the 38 metabolites, and 71% of the relations were significantly positive. Our approach successfully identified SF biomarkers associated with ReA patients that could serve as an efficient tool for early diagnosis of ReA and the role of these biomarker in the pathogenesis of ReA should be explored in future studies. This is the first study that establishes the correlation between metabolic profiles in SF and serum obtained from ReA patients.This is the first study on the metabolic signatures of diagnostic potential for Reactive Arthritis (ReA) identified by NMR based metabolomics analysis of human synovial fluid samples obtained from ReA and non-ReA (Rheumatoid Arthritis (RA) and Osteoarthritis (OA)) patients. Like RA, ReA is an inflammatory arthritis, whereas OA is non-inflammatory arthritis
Tainia epiphytica sp. nov. (Orchidaceae), a new species from North East India
No full textSarkar, Shuvadip, Agrawala, Dinesh Kumar, Chakraborty, Sayak, Maity, Debabrata, Odyuo, Nripemo (2023): Tainia epiphytica sp. nov. (Orchidaceae), a new species from North East India. Phytotaxa 578 (2): 180-188, DOI: 10.11646/phytotaxa.578.2.4, URL: http://dx.doi.org/10.11646/phytotaxa.578.2.
Damien Paulin, Dinesh Kumar, Raghav Bhaskar and Georges Quenot
No full textThis paper presents a system that performs the recovery of camera motion parameters and the segmentation of mobile objects in video documents for content indexing. Two dierent methods are used for the recovery of the camera motion (relatively to the main background), the rst for a camera maintained at a xed location with rotational and zoom degrees of freedom, and the second for a camera of arbitrary motion but assuming a xed focal length. The rst method is based on the search of an optimal projective transform between consecutive images combined with an iterative background / mobile objects segmentation process. The second method is based on a paraperspective factorization method for shape and motion recovery. Both methods rely on the use of a dense and high-quality matching between consecutive images (optical ow). The system also attempts to classify shots or sub-segments of shots into one of the following categories of \no motion", \non mobile camera motion", \mobile camera motion" or \other type of motion"
ChatGPT in Anatomy Teaching and Learning: A Review
No full text10.47991/2835-6764/AJSER-163American J Sci Edu Res33163-163United State
sj-docx-1-pie-10.1177_09544089221087823 - Supplemental material for Correlation of microstructural with corrosion behaviour of Ti-6Al-4V specimens developed through selective laser melting technique
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221087823 for Correlation of microstructural
with corrosion behaviour of Ti-6Al-4V specimens developed through selective laser melting technique by N. Jeyaprakash, Che-Hua Yang and
Sundara Subramanian Karuppasamy, Dinesh Kumar Rajendran in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-wmr-10.1177_0734242X221104362 – Supplemental material for Sustainability assessment of waste cooking oil-based biodiesel plant in developing economy based on F-DEMATEL and F-ISM approaches
No full textSupplemental material, sj-docx-1-wmr-10.1177_0734242X221104362 for Sustainability assessment of waste cooking oil-based biodiesel plant in developing economy based on F-DEMATEL and F-ISM approaches by Jogendra Jangre, Kanika Prasad, Mathiyazhagan Kaliyan, Dinesh Kumar and Dharmendra Patel in Waste Management & Research</p
Association of interleukin-18 gene polymorphism with susceptibility to visceral leishmaniasis in endemic area of Bihar, an Indian population
No full textCopyright © 2014 Dinesh Kumar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Interleukin-18 (IL-18) is a cytokine that mediates Th1 response by inducing interferon-gamma (IFN
sj-docx-1-pie-10.1177_09544089231190223 - Supplemental material for Investigation of physical, chemical and mechanical behaviour of nano-ZrO<sub>2</sub>-based dental composite
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231190223 for Investigation of physical, chemical and mechanical behaviour of nano-ZrO2-based dental composite by Shiv Ranjan Kumar, Hari Om Sharma, Sachin Kumar and Dinesh Kumar Patel in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-pie-10.1177_09544089231171030 - Supplemental material for Synthesis, characterization and optimization of gasification products from Aegle Marmelos Correa shell in a downdraft gasifier using ANN and RSM
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231171030 for Synthesis, characterization and optimization of gasification products from Aegle Marmelos Correa shell in a downdraft gasifier using ANN and RSM by Muthu Dinesh Kumar Ramaswamy, Vinoth Thangarasu, V M Jaganathan, M Angkayarkan Vinayakaselvi and Anand Ramanathan in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
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