# Novel AI-Driven Precision Strategies in Diabetic Wound Healing: Immunomodulation and Advances in Smart Composite Nanocarriers

**Authors:** Yibin Zheng, Junshan Lan, Qian Huang, Qi Li, Yuting Liu, Bing Li, Xuan Wu, Qianxi Wang, Yongqi Liao, Xing Zhou, Zhipeng Teng, Jie Lou

PMC · DOI: 10.3390/pharmaceutics18020252 · 2026-02-18

## TL;DR

This paper explores how AI and smart nanocarriers can improve diabetic wound healing by targeting immune imbalances and enabling personalized treatments.

## Contribution

The paper introduces an AI-enabled precision therapy framework for diabetic wounds using smart composite nanocarriers that modulate the immune environment.

## Key findings

- Smart composite nanocarriers can regulate immune responses by responding to signals like ROS, pH, and enzyme activity.
- AI integration allows for dynamic treatment optimization and personalized therapy based on patient-specific data.
- The framework aims to shift nanopharmacy from material-based to system-regulation-based approaches for complex diseases.

## Abstract

Diabetic chronic wounds (CWs) represent a recalcitrant, difficult-to-heal pathological condition characterized by an imbalance of the immune microenvironment. Smart composite nanocarriers for immune regulation enable multi-targeted, spatiotemporally controllable synergistic interventions by responding to pathological signals such as reactive oxygen species (ROS), pH, and abnormal enzyme activity, thereby offering a novel pharmaceutical strategy to overcome the limitations of traditional single-target therapies. Artificial intelligence (AI) integrates clinical and biological data to predict healing risks, optimize treatment plans and nanocarrier design, and dynamically adjust strategies based on patient conditions, ensuring precision and personalized therapies. This paper systematically reviews the immunopathological basis of CWs, summarizes the design rationale and functional evolution of immune-modulating smart composite nanocarriers, and discusses an AI-enabled precision therapy framework from an interdisciplinary perspective. It aims to establish a theoretical foundation and research paradigm for constructing programmable drug delivery systems tailored to complex disease microenvironments, facilitating the transition of smart nanopharmacy from material-oriented to system-regulation-oriented approaches, and accelerating the clinically predictable translation of diabetic wound therapies.

## Full-text entities

- **Genes:** PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, SIRT3 (sirtuin 3) [NCBI Gene 23410] {aka SIR2L3}, RELA (RELA proto-oncogene, NF-kB subunit) [NCBI Gene 5970] {aka AIF3BL3, CMCU, NFKB3, p65}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, MYD88 (MYD88 innate immune signal transduction adaptor) [NCBI Gene 4615] {aka IMD68, MYD88D, WM1}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, RENBP (renin binding protein) [NCBI Gene 5973] {aka RBP, RNBP}, TAC1 (tachykinin precursor 1) [NCBI Gene 6863] {aka Hs.2563, NK2, NKNA, NPK, TAC2}, BCL2L11 (BCL2 like 11) [NCBI Gene 10018] {aka BAM, BIM, BOD}, FGF1 (fibroblast growth factor 1) [NCBI Gene 2246] {aka AFGF, ECGF, ECGF-beta, ECGFA, ECGFB, FGF-1}, NFKBIA (NFKB inhibitor alpha) [NCBI Gene 4792] {aka EDAID2, IKBA, MAD-3, NFKBI}, MMP9 (matrix metallopeptidase 9) [NCBI Gene 4318] {aka CLG4B, GELB, MANDP2, MMP-9}, BMAL1 (basic helix-loop-helix ARNT like 1) [NCBI Gene 406] {aka ARNTL, ARNTL1, BMAL1c, JAP3, MOP3, PASD3}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, Tgfb1 (transforming growth factor, beta 1) [NCBI Gene 21803] {aka TGF-beta1, TGFbeta1, Tgfb, Tgfb-1}, Tnf (tumor necrosis factor) [NCBI Gene 21926] {aka DIF, TNF-a, TNF-alpha, TNFSF2, TNFalpha, Tnfa}, TIMP1 (TIMP metallopeptidase inhibitor 1) [NCBI Gene 7076] {aka CLGI, EPA, EPO, HCI, TIMP, TIMP-1}, PTK2 (protein tyrosine kinase 2) [NCBI Gene 5747] {aka FADK, FADK 1, FAK, FAK1, FRNK, PPP1R71}, F2RL1 (F2R like trypsin receptor 1) [NCBI Gene 2150] {aka GPR11, PAR2}, TGFB3 (transforming growth factor beta 3) [NCBI Gene 7043] {aka ARVD, ARVD1, LDS5, RNHF, TGF-beta3}, GLB1 (galactosidase beta 1) [NCBI Gene 2720] {aka EBP, ELNR1, MPS4B}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, NF2 (NF2, moesin-ezrin-radixin like (MERLIN) tumor suppressor) [NCBI Gene 4771] {aka ACN, BANF, SCH, SWNV, merlin-1}, MOK (MOK protein kinase) [NCBI Gene 5891] {aka RAGE, RAGE-1, RAGE1, STK30}, MFN2 (mitofusin 2) [NCBI Gene 9927] {aka CMT2A, CMT2A2, CMT2A2A, CMT2A2B, CPRP1, HMSN6A}, CAT (catalase) [NCBI Gene 847], PFKFB3 (6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3) [NCBI Gene 5209] {aka IPFK2, PFK2, iPFK-2}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, Pecam1 (platelet and endothelial cell adhesion molecule 1) [NCBI Gene 29583] {aka CD31, Pecam}, Il10 (interleukin 10) [NCBI Gene 16153] {aka CSIF, If2a, Il-10}, COL1A1 (collagen type I alpha 1 chain) [NCBI Gene 1277] {aka CAFYD, EDSARTH1, EDSC, OI1, OI2, OI3}, ITGB1 (integrin subunit beta 1) [NCBI Gene 3688] {aka CD29, FNRB, GPIIA, MDF2, MSK12, VLA-BETA}, SOD1 (superoxide dismutase 1) [NCBI Gene 6647] {aka ALS, ALS1, HEL-S-44, IPOA, SOD, STAHP}, PAK2 (p21 (RAC1) activated kinase 2) [NCBI Gene 5062] {aka KNO2, PAK65, PAKgamma}, NFE2L2 (NFE2 like bZIP transcription factor 2) [NCBI Gene 4780] {aka IMDDHH, NRF2, Nrf-2}, Il4 (interleukin 4) [NCBI Gene 16189] {aka BSF-1, Il-4}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, LGALS3 (galectin 3) [NCBI Gene 3958] {aka CBP35, GAL3, GALBP, GALIG, L31, LGALS2}, MMP2 (matrix metallopeptidase 2) [NCBI Gene 4313] {aka CLG4, CLG4A, MMP-2, MMP-II, MONA, TBE-1}, TLR9 (toll like receptor 9) [NCBI Gene 54106] {aka CD289}, BMP2 (bone morphogenetic protein 2) [NCBI Gene 650] {aka BDA2, BMP2A, SSFSC, SSFSC1}, Ifng (interferon gamma) [NCBI Gene 15978] {aka IFN-g, If2f, Ifg}, CALCA (calcitonin related polypeptide alpha) [NCBI Gene 796] {aka CALC1, CGRP, CGRP-I, CGRP-alpha, CGRP1, CT}, YAP1 (Yes1 associated transcriptional regulator) [NCBI Gene 10413] {aka COB1, YAP, YAP-1, YAP2, YAP65, YKI}, Il6 (interleukin 6) [NCBI Gene 16193] {aka Il-6}, HAO1 (hydroxyacid oxidase 1) [NCBI Gene 54363] {aka GO, GOX, GOX1, HAOX1}, PADI4 (peptidyl arginine deiminase 4) [NCBI Gene 23569] {aka PAD, PAD4, PADI5, PDI4, PDI5}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, ACSM3 (acyl-CoA synthetase medium chain family member 3) [NCBI Gene 6296] {aka SA, SAH}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, Il1b (interleukin 1 beta) [NCBI Gene 16176] {aka IL-1beta, Il-1b}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, NGF (nerve growth factor) [NCBI Gene 4803] {aka Beta-NGF, HSAN5, NGFB}, PECAM1 (platelet and endothelial cell adhesion molecule 1) [NCBI Gene 5175] {aka CD31, CD31/EndoCAM, GPIIA', PECA1, PECAM-1, endoCAM}
- **Diseases:** bacterial (MESH:D001424), peripheral neuropathy (MESH:D010523), foot ulcers (MESH:D016523), necrotic (MESH:D009336), immune dysregulation (OMIM:614878), chronic (MESH:D002908), Neuropathy (MESH:D009422), Sensory-Motor Dysfunction (MESH:C536988), DFU (MESH:D017719), sensory nerve damage (MESH:D005155), nerve damage (MESH:D000080902), Hyperglycemic (MESH:D006944), Immune Cell Dysfunction (MESH:D007154), infection (MESH:D007239), diabetic neuropathy (MESH:D003929), ulcer (MESH:D014456), vascular dysfunction (MESH:D002561), toxicity (MESH:D064420), lesion (MESH:D009059), hypoxic (MESH:D002534), NETs (MESH:C536657), Metabolic Dysregulation (MESH:D021081), ischemia (MESH:D007511), metabolic (MESH:D008659), hypoxia (MESH:D000860), Disorders (MESH:D009358), hyperlipidemia (MESH:D006949), Hyperglycemia (MESH:D006943), CWs (MESH:D014947), Inflammatory (MESH:D007249), mitochondrial dysfunction (MESH:D028361), dyslipidemia (MESH:D050171), Vascular Lesions (MESH:D014652), Diabetes mellitus (MESH:D003920)
- **Chemicals:** 4'-hydroxychalcone (MESH:C561448), polyamidoamine (MESH:C531249), lipid (MESH:D008055), PLGA (MESH:D000077182), ROS (MESH:D017382), florfenicol (MESH:C035534), glucose (MESH:D005947), N, O-carboxymethyl chitosan (MESH:C077199), H2S (MESH:D006862), H2O2 (MESH:D006861), Fe3O4@Gal (-), silica (MESH:D012822), dexamethasone (MESH:D003907), gluconic acid (MESH:C030691), metformin (MESH:D008687), MnO2 (MESH:C016552), ZnO (MESH:D015034), AGEs (MESH:D017127), water (MESH:D014867), PEDOT: PSS (MESH:C533756), Fe (MESH:D007501), polylysine (MESH:D011107), resveratrol (MESH:D000077185), silver (MESH:D012834), hyaluronic acid (MESH:D006820), nitric oxide (MESH:D009569), Cholesterol (MESH:D002784), gold (MESH:D006046), triphenylphosphine (MESH:C061896), metal (MESH:D008670), calcium alginate (MESH:D000464), oxygen (MESH:D010100), alpha-lipoic acid (MESH:D008063)
- **Species:** Rattus norvegicus (brown rat, species) [taxon 10116], Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12944318/full.md

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Source: https://tomesphere.com/paper/PMC12944318