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Record W3089304493 · doi:10.1155/2020/7242530

Increased Brain Iron Deposition in the Putamen in Patients with Type 2 Diabetes Mellitus Detected by Quantitative Susceptibility Mapping

2020· article· en· W3089304493 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Diabetes Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsnot available
FundersMedical and Health Science and Technology Development Project of Shandong ProvinceNational Natural Science Foundation of China
KeywordsPutamenDiabetes mellitusDeposition (geology)Type 2 Diabetes MellitusInternal medicineMedicineEndocrinologyBiology

Abstract

fetched live from OpenAlex

Background . The underlying brain structural changes in type 2 diabetes mellitus (T2DM) patients have attracted increasing attention. The insulin-resistant state causes iron overload in neurons and leads to lesions in the central nervous system. Quantitative susceptibility mapping (QSM) can provide a noninvasive quantitative analysis of brain iron deposition. We aimed to compare the difference of brain iron deposition in the gray matter nucleus between T2DM patients and healthy elderly individuals using QSM. Methods . Thirty-two T2DM patients and thirty-two age- and gender-matched healthy controls (HCs) were enrolled in this research. Twenty-three patients and twenty-six HCs underwent cognitive assessments. Brain QSM maps were computed from multiecho GRE data using morphology-enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference algorithm (MEDI+0). ITK-SNAP was used to measure the susceptibility values reflecting the content of iron in the regions of interest (ROIs). Results . The study included thirty-two T2DM patients (20 males and 12 females; mean age of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mn>61.09</mml:mn><mml:mo>±</mml:mo><mml:mn>9.99</mml:mn></mml:math> years) and 32 HCs (14 males and 18 females; mean age of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mn>59.09</mml:mn><mml:mo>±</mml:mo><mml:mn>9.77</mml:mn></mml:math> years). These participants had no significant difference in age or gender (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:math>). Twenty-three patients with T2DM (11 males and 12 females; mean age, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mn>64.65</mml:mn><mml:mo>±</mml:mo><mml:mn>8.44</mml:mn></mml:math> years) and twenty-six HCs (14 males and 12 females; mean age, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mn>62.30</mml:mn><mml:mo>±</mml:mo><mml:mn>6.13</mml:mn></mml:math> years) received an assessment of cognitive function. T2DM patients exhibited an obviously (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M6"><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn>3.237</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M7"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.003</mml:mn></mml:math>) lower Montreal Cognitive Assessment (MoCA) score (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M8"><mml:mn>26.78</mml:mn><mml:mo>±</mml:mo><mml:mn>2.35</mml:mn></mml:math>; HCs, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M9"><mml:mn>28.42</mml:mn><mml:mo>±</mml:mo><mml:mn>0.64</mml:mn></mml:math>; normal standard ≥26) and a higher Stroop color-word test (SCWT)-C score [87(65,110); HC, 63(60,76.75), <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M10"><mml:mi>Z</mml:mi><mml:mo>=</mml:mo><mml:mo>−</mml:mo><mml:mn>2.232</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M11"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.003</mml:mn></mml:math>] than HCs. The mean susceptibility values in the putamen appeared obviously higher in T2DM patients than in HCs (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M12"><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mo>−</mml:mo><mml:mn>3.994</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M13"><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:math>). The susceptibility values and cognitive assessment scores showed no obvious association (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M14"><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0.05</mml:mn></mml:math>). However, an obvious correlation was observed between the changes in the susceptibility values in the putamen and the thalamus/dentate nucleus (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M15"><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.404</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M16"><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:math>; <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M17"><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.423</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M18"><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:math>). Conclusion . T2DM patients showed increased susceptibility values in the putamen and had declines in executive functions, but the linear association between them was not statistically significant. Changes in susceptibility values in the putamen indicated increased iron deposition and might be used as a quantitative imaging marker of central nervous system injury in T2DM patients. QSM might be able to help probe micro neuronal damage in gray matter and provide information on diabetic encephalopathy.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.356
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it