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Record W4385448740 · doi:10.1212/nxi.0000000000200144

Structural Changes of Cutaneous Immune Cells in Patients With Type 1 Diabetes and Their Relationship With Diabetic Polyneuropathy

2023· article· en· W4385448740 on OpenAlexaboutno aff
Xiaoli Hu, Christian Selmer Buhl, Marie Balle Sjogaard, Karoline Schousboe, Hatice Isik Mizrak, Huda Kufaishi, Christian Stevns Hansen, Knud Bonnet Yderstræde, Troels S. Jensen, Jens Randel Nyengaard, Páll Karlsson

Bibliographic record

VenueNeurology Neuroimmunology & Neuroinflammation · 2023
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
FundersSteno Diabetes Center AarhusNovo Nordisk FondenSteno Diabetes Center CopenhagenLundbeckfondenVertex PharmaceuticalsAlnylam Pharmaceuticals
KeywordsPolyneuropathyDiabetes mellitusMedicineImmune systemType 2 diabetesInternal medicineType 1 diabetesImmunologyEndocrinology

Abstract

fetched live from OpenAlex

<h3>Background and Objectives</h3> Diabetic polyneuropathy (DPN) is a complication of diabetes characterized by pain or lack of peripheral sensation, but the underlying mechanisms are not yet fully understood. Recent evidence showed increased cutaneous macrophage infiltration in patients with type 2 diabetes and painful DPN, and this study aimed to understand whether the same applies to type 1 diabetes. <h3>Methods</h3> The study included 104 participants: 26 healthy controls and 78 participants with type 1 diabetes (participants without DPN [n = 24], participants with painless DPN [n = 29], and participants with painful DPN [n = 25]). Two immune cells, dermal IBA1<sup>+</sup> macrophages and epidermal Langerhans cells (LCs, CD207<sup>+</sup>), were visualized and quantified using immunohistological labeling and stereological counting methods on skin biopsies from the participants. The IBA1<sup>+</sup> macrophage infiltration, LC number density, LC soma cross-sectional area, and LC processes were measured in this study. <h3>Results</h3> Significant difference in IBA1<sup>+</sup> macrophage expression was seen between the groups (<i>p</i> = 0.003), with lower expression of IBA1 in participants with DPN. No differences in LC morphologies (LC number density, soma cross-sectional area, and process level) were found between the groups (all <i>p</i> &gt; 0.05). In addition, IBA1<sup>+</sup> macrophages, but not LCs, correlated with intraepidermal nerve fiber density, Michigan neuropathy symptom inventory, (questionnaire and total score), severity of neuropathy as assessed by the Toronto clinical neuropathy score, and vibration detection threshold in the whole study cohort. <h3>Discussion</h3> This study showed expressional differences of cutaneous IBA1<sup>+</sup> macrophages but not LC in participants with type 1 diabetes–induced DPN compared with those in controls. The study suggests that a reduction in macrophages may play a role in the development and progression of autoimmune-induced diabetic neuropathy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
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 score0.139
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

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