Back

Multi-omics analysis of type II diabetic wound healing reveals CD44-mediated immune cell crosstalk dysfunction in mice and humans

Wietecha, M. S.; Pang, J.; Kang, M.; Hafedi, A.; Walsdorf, S.; Keiser, S.; Maienschein-Cline, M.; Koh, T. J.

2026-04-29 molecular biology
10.64898/2026.04.26.720829 bioRxiv
Show abstract

Type II diabetes mellitus (T2DM) is one of the most prevalent diseases in the United States and is associated with diabetic foot ulcers (DFU) and their impaired, often chronic, wound healing. The T2DM mouse model with dysfunctional leptin receptor (db/db) has been used in basic and translational studies of wound healing due to its systemic phenotypes (hyperphagia, hypometabolism, obesity, T2DM) and its notable delayed skin wound healing. However, a characterization of the temporal cellular dynamics of the db/db wound healing model has not been performed, nor has the model been systematically compared to human DFUs. We performed the first comprehensive single-cell, multi-omic analysis of dermal cells in diabetic (db/db) compared to non-diabetic (ND) mice across three time points ranging from the inflammatory to the delayed proliferative and resolution phases of healing. Single-cell transcriptomics were uniquely linked to their corresponding cells surface protein expressions of cell-specific receptors, including immune cells (CD45) such as neutrophils (CD11b, Ly6G), monocytes/macrophages (CD11b, F4/80, CD11c, Ly6C) and T lymphocytes (CD3, CD4), and dermal cells such as endothelial cells (CD31) and fibroblasts (CD26, CD140a), and showed high concordance between protein cell markers and their gene expressions in major cell types. Differential multi-omic analyses characterized two neutrophil (Tnfaip3+Sod2+Ly6G+, Csf3r+Fos+Ly6G+), three monocyte/macrophage (F4/80highCD11bhigh, Ly6chighCD11bhigh, CD11chighCD11blow) and three fibroblast (Pi16+Dpp4+CD26high, Lrrc15+Tnc+CD140ahigh, Cilp+Mgp+CD26low) subtypes showing dysregulated dynamics across the time course of healing in db/db vs ND mice. Notably, NETotic Tnfaip3+Sod2+Ly6G+ neutrophils and phagocytic F4/80highCD11bhigh macrophage subtypes were drastically up-regulated in diabetic wounds. Differential cell-cell communication analyses revealed striking differences in crosstalk dynamics between fibroblast, macrophage and neutrophil subtypes in the early phase of healing, and ligand-receptor interactome analyses identified CD44 as the hub of dysregulated immune cell interactions in diabetic wounds, implicating cell adhesion, migration and inflammatory pathways, especially those mediated by ICAM1. Inhibition of CD44 using blocking antibodies in primary macrophages from db/db mice and via intradermal injections in db/db mice significantly normalized the early wound immune dysfunction, in part by inhibiting ICAM1 and reversing the excessive neutrophil influx into diabetic wounds. A new integrated dataset of single-cell human chronic wound studies revealed similar CD44-mediated immune cell dysfunctions in diabetic vs non-diabetic foot ulcers, pointing to CD44 as a promising therapeutic target for T2DM-associated chronic wounds.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 13%
12.8%
2
Cell Reports
1338 papers in training set
Top 7%
6.5%
3
Advanced Science
249 papers in training set
Top 2%
6.5%
4
eLife
5422 papers in training set
Top 19%
4.4%
5
Matrix Biology
28 papers in training set
Top 0.1%
4.3%
6
Journal of Investigative Dermatology
42 papers in training set
Top 0.2%
4.1%
7
Disease Models & Mechanisms
119 papers in training set
Top 0.4%
3.7%
8
Scientific Reports
3102 papers in training set
Top 40%
3.1%
9
JCI Insight
241 papers in training set
Top 2%
2.5%
10
Cell Death & Disease
126 papers in training set
Top 0.6%
2.1%
50% of probability mass above
11
Journal of Advanced Research
15 papers in training set
Top 0.2%
1.9%
12
Cells
232 papers in training set
Top 2%
1.8%
13
International Journal of Molecular Sciences
453 papers in training set
Top 7%
1.7%
14
Cell Reports Medicine
140 papers in training set
Top 3%
1.7%
15
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 1%
1.5%
16
Developmental Cell
168 papers in training set
Top 9%
1.5%
17
Nucleic Acids Research
1128 papers in training set
Top 13%
1.3%
18
Clinical and Translational Medicine
30 papers in training set
Top 0.5%
1.3%
19
Frontiers in Immunology
586 papers in training set
Top 6%
1.1%
20
BMJ Open Diabetes Research & Care
15 papers in training set
Top 0.7%
1.1%
21
iScience
1063 papers in training set
Top 24%
1.0%
22
eBioMedicine
130 papers in training set
Top 3%
0.9%
23
PLOS ONE
4510 papers in training set
Top 63%
0.9%
24
Molecular Therapy
71 papers in training set
Top 2%
0.9%
25
Communications Biology
886 papers in training set
Top 18%
0.9%
26
Genome Medicine
154 papers in training set
Top 7%
0.9%
27
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
28
The FASEB Journal
175 papers in training set
Top 3%
0.8%
29
PLOS Genetics
756 papers in training set
Top 14%
0.8%
30
Frontiers in Endocrinology
53 papers in training set
Top 2%
0.8%