|
1
|
Vicenti G, Bizzoca D, Carrozzo M, Solarino
G and Moretti B: Multi-omics analysis of synovial fluid: A
promising approach in the study of osteoarthritis. J Biol Regul
Homeost Agents. 32(Suppl 1): S9–S13. 2018.
|
|
2
|
Iijima H, Gilmer G, Wang K, Sivakumar S,
Evans C, Matsui Y and Ambrosio F: Meta-analysis integrated with
multi-omics data analysis to elucidate pathogenic mechanisms of
age-related knee osteoarthritis in mice. J Gerontol A Biol Sci Med
Sci. 77:1321–1334. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Bensa A, Salerno M, Boffa A, de Girolamo
L, Laver L, Magalon J, Sánchez M, Tischer T and Filardo G:
Corticosteroid injections for the treatment of osteoarthritis
present a wide spectrum of effects ranging from detrimental to
disease-modifying: A systematic review of preclinical evidence by
the ESSKA orthobiologic initiative. Knee Surg Sports Traumatol
Arthrosc. 32:2725–2745. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Bajpai P and Chandra P: Emerging
anti-inflammatory attributes of curcumin: A novel paradigm and
ameliorative attributes for the treatment of osteoarthritis. Curr
Rheumatol Rev. 21:228–238. 2025. View Article : Google Scholar
|
|
5
|
Liu Y, Molchanov V, Brass D and Yang T:
Recent advances in omics and the integration of multi-omics in
osteoarthritis research. Arthritis Res Ther. 27:1002025. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Wei Y, Qian H, Zhang X, Wang J, Yan H,
Xiao N, Zeng S, Chen B, Yang Q, Lu H, et al: Progress in
multi-omics studies of osteoarthritis. Biomark Res. 13:262025.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Gu Y, Hu Y, Zhang H, Wang S, Xu K and Su
J: Single-cell RNA sequencing in osteoarthritis. Cell Prolif.
56:e135172023. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Danzeng L, Sun Y, He Z, Hou X and Li L:
Single-cell sequencing reveals the immune microenvironment in
osteoarthritis: From heterogeneity to therapeutic targets. Int
Immunopharmacol. 165:1155212025. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Boffa A, Perucca Orfei C, Sourugeon Y,
Laver L, Magalon J, Sánchez M, Tischer T, de Girolamo L and Filardo
G: Cell-based therapies have disease-modifying effects on
osteoarthritis in animal models. A systematic review by the ESSKA
orthobiologic initiative. Part 2: Bone marrow-derived cell-based
injectable therapies. Knee Surg Sports Traumatol Arthrosc.
31:3230–3242. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Sourugeon Y, Boffa A, Perucca Orfei C, de
Girolamo L, Magalon J, Sánchez M, Tischer T, Filardo G and Laver L:
Cell-based therapies have disease-modifying effects on
osteoarthritis in animal models: A systematic review by the ESSKA
orthobiologic initiative. Part 3: Umbilical cord, placenta, and
other sources for cell-based injectable therapies. Knee Surg Sports
Traumatol Arthrosc. 33:1695–1708. 2025. View Article : Google Scholar :
|
|
11
|
D'Arrigo D, Salerno M, De Marziani L,
Boffa A and Filardo G: A call for standardization for secretome and
extracellular vesicles in osteoarthritis: Results show
disease-modifying potential, but protocols are too heterogeneous-a
systematic review. Hum Cell. 37:1243–1275. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Tan D, Huang Z, Zhao Z, Chen X, Liu J,
Wang D, Deng Z and Li W: Single-cell sequencing, genetics, and
epigenetics reveal mesenchymal stem cell senescence in
osteoarthritis (review). Int J Mol Med. 53:22024. View Article : Google Scholar
|
|
13
|
Wang T, Ng CY, Ng BZJ, Toh WS and Hui JHP:
Multi-omics analysis of small extracellular vesicles in
osteoarthritis: Bridging the gap between molecular insights and
clinical applications. Burns Trauma. 13:tkaf0232025. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Rai MF, Collins KH, Lang A, Maerz T,
Geurts J, Ruiz-Romero C, June RK, Ramos Y, Rice SJ, Ali SA, et al:
Three decades of advancements in osteoarthritis research: Insights
from transcriptomic, proteomic, and metabolomic studies.
Osteoarthritis Cartilage. 32:385–397. 2024. View Article : Google Scholar
|
|
15
|
Van Pevenage PM, Birchmier JT and June RK:
Utilizing metabolomics to identify potential biomarkers and
perturbed metabolic pathways in osteoarthritis: A systematic
review. Semin Arthritis Rheum. 59:1521632023. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Ji Q, Zheng Y, Zhang G, Hu Y, Fan X, Hou
Y, Wen L, Li L, Xu Y, Wang Y and Tang F: Single-cell RNA-seq
analysis reveals the progression of human osteoarthritis. Ann Rheum
Dis. 78:100–110. 2019. View Article : Google Scholar :
|
|
17
|
Fan Y, Bian X, Meng X, Li L, Fu L, Zhang
Y, Wang L, Zhang Y, Gao D, Guo X, et al: Unveiling inflammatory and
prehypertrophic cell populations as key contributors to knee
cartilage degeneration in osteoarthritis using multi-omics data
integration. Ann Rheum Dis. 83:926–944. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Liao S, Yang M, Li D, Wu Y, Sun H, Lu J,
Liu X, Deng T, Wang Y, Xie N, et al: Comprehensive bulk and
single-cell transcriptome profiling give useful insights into the
characteristics of osteoarthritis associated synovial macrophages.
Front Immunol. 13:10784142022. View Article : Google Scholar
|
|
19
|
Sebastian A, Hum NR, McCool JL, Wilson SP,
Murugesh DK, Martin KA, Rios-Arce ND, Amiri B, Christiansen BA and
Loots GG: Single-cell RNA-Seq reveals changes in immune landscape
in post-traumatic osteoarthritis. Front Immunol. 13:9380752022.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Huang ZY, Luo ZY, Cai YR, Chou CH, Yao ML,
Pei FX, Kraus VB and Zhou ZK: Single cell transcriptomics in human
osteoarthritis synovium and in silico deconvoluted bulk RNA
sequencing. Osteoarthritis Cartilage. 30:475–480. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Wang Q, Huang M and Guo JJ: From cells to
clinic: Single-cell transcriptomics shaping the future of
orthopedics. J Orthop Translat. 53:1–11. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Fan X, Sun AR, Young RSE, Afara IO,
Hamilton BR, Ong LJY, Crawford R and Prasadam I: Spatial analysis
of the osteoarthritis microenvironment: Techniques, insights, and
applications. Bone Res. 12:72024. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Fan X, Young RSE, Sun AR, Hamilton BR,
Nedunchezhiyan U, Crawford R, Blanksby SJ and Prasadam I:
Functional mass spectrometry imaging maps phospholipase-A2 enzyme
activity during osteoarthritis progression. Theranostics.
13:4636–4649. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Lee YR, Briggs MT, Kuliwaba JS, Jagiello
J, Anderson PH and Hoffmann P: High-resolution N-glycan MALDI mass
spectrometry imaging of subchondral bone tissue microarrays in
patients with knee osteoarthritis. Anal Chem. 95:12640–12647. 2023.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Rocha B, Cillero-Pastor B, Ruiz-Romero C,
Paine MRL, Cañete JD, Heeren RMA and Blanco FJ: Identification of a
distinct lipidomic profile in the osteoarthritic synovial membrane
by mass spectrometry imaging. Osteoarthritis Cartilage. 29:750–761.
2021. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Zhu L, Diao X, Yuan C, Lau CML, Wang J, Wu
W, Mobasheri A, Houard X, Wen C and Cai Z: Integrative spatially
resolved proteomic and metabolomic imaging reveals synovitis
endotypes implicated in osteoarthritis progression. Theranostics.
15:9729–9741. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Xie P, Sun AR, Gao F, Li L, Crawford R and
Prasadam I: Resolving microenvironment complexity and cellular
heterogeneity in osteoarthritis via spatial transcriptomics.
Osteoarthritis Cartilage. 34:332–342. 2026. View Article : Google Scholar
|
|
28
|
Kreitmaier P, Katsoula G and Zeggini E:
Insights from multi-omics integration in complex disease primary
tissues. Trends Genet. 39:46–58. 2023. View Article : Google Scholar
|
|
29
|
Huang Z, He Z, Kong Y, Liu Z and Gong L:
Insight into osteoarthritis through integrative analysis of
metabolomics and transcriptomics. Clin Chim Acta. 510:323–329.
2020. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Ojha A, Chatterjee P, Kippner LE, Stevens
HY, Boden SD, Drissi H, Mautner K, Yeago C, Roy K and Sinha S:
Multi-omics integration at cell type resolution uncovers
gene-metabolite mechanisms underlying osteoarthritis heterogeneity.
bioRxiv [Preprint]: 2025.09.26.678886. 2025.
|
|
31
|
Katsoula G, Kreitmaier P and Zeggini E:
Insights into the molecular landscape of osteoarthritis in human
tissues. Curr Opin Rheumatol. 34:79–90. 2022. View Article : Google Scholar
|
|
32
|
Wang Y, Zeng T, Tang D, Cui H, Wan Y and
Tang H: Integrated multi-omics analyses reveal lipid metabolic
signature in osteoarthritis. J Mol Biol. 437:1688882025. View Article : Google Scholar
|
|
33
|
He H, Zhao X, Zhang B, Zhao S and Wu Y:
Integrated multi-omics and machine learning reveals
immune-metabolic signatures in osteoarthritis: From bulk RNA-seq to
single-cell resolution. Front Immunol. 16:15999302025. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Wu K, Zhong Z, Chen L, Luo H, Jiang A, Tao
L and Jiang Y: Integrative analysis of bulk and single-cell RNA
sequencing data reveals increased arachidonic acid metabolism in
osteoarthritic chondrocytes. Front Med (Lausanne). 12:15520292025.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Wijesinghe SN, Badoume A, Nanus DE,
Sharma-Oates A, Farah H, Certo M, Alnajjar F, Davis ET, Mauro C,
Lindsay MA and Jones SW: Obesity defined molecular endotypes in the
synovium of patients with osteoarthritis provides a rationale for
therapeutic targeting of fibroblast subsets. Clin Transl Med.
13:e12322023. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Southan J, McHugh E, Walker H and Ismail
HM: Metabolic signature of articular cartilage following mechanical
injury: An integrated transcriptomics and metabolomics analysis.
Front Mol Biosci. 7:5929052020. View Article : Google Scholar
|
|
37
|
Qu Y, Wang Y, Wang S, Yu X, He Y, Lu R,
Chen S, Meng C, Xu H, Pei W, et al: A comprehensive analysis of
single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in
human osteoarthritis. Comput Biol Med. 160:1069262023. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Matta C, Takács R, Dvir-Ginzberg M,
Richardson SM, Pelttari K, Pattappa G, Risbud MV and Mobasheri A:
Insights into chondrocyte populations in cartilaginous tissues at
the single-cell level. Nat Rev Rheumatol. 21:465–477. 2025.
View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Chen W, Xiao J, Zhou Y, Liu W, Jian J,
Yang J, Chen B, Ye Z, Liu J, Xu X, et al: Curcumenol regulates
Histone H3K27me3 demethylases KDM6B affecting Succinic acid
metabolism to alleviate cartilage degeneration in knee
osteoarthritis. Phytomedicine. 133:1559222024. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Zhang Z, Cheng D, Dang J, Wang X, Fan H
and Liu D: Decoding endoplasmic reticulum stress on chondrocyte
driving osteoarthritis development through integrating single-cell
and transcriptomic profiling. Int J Med Sci. 22:3906–3923. 2025.
View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Pan B, Yao P, Ma J, Lin X, Zhou L and Lin
C, Zhang Y, Lin B and Lin C: Identification of key biomarkers
related to fibrocartilage chondrocytes for osteoarthritis based on
bulk, single-cell transcriptomic data. Front Immunol.
15:14823612024. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Kang X, Zhang K, Wang Y, Zhao Y and Lu Y:
Single-cell RNA sequencing analysis of human chondrocytes reveals
cell-cell communication alterations mediated by interactive
signaling pathways in osteoarthritis. Front Cell Dev Biol.
11:10992872023. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Acharjee A, Wijesinghe SN, Russ D, Gkoutos
G and Jones SW: Cross-species transcriptomics identifies obesity
associated genes between human and mouse studies. J Transl Med.
22:5922024. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Yang J, Li S, Li Z, Yao L, Liu M, Tong KL,
Xu Q, Yu B, Peng R, Gui T, et al: Targeting YAP1-regulated
glycolysis in fibroblast-like synoviocytes impairs macrophage
infiltration to ameliorate diabetic osteoarthritis progression. Adv
Sci (Weinh). 11:e23046172024. View Article : Google Scholar :
|
|
45
|
Wu Y, Liu J, Yu W, Wang X, Li J and Zeng
W: Single-cell transcriptome and multi-omics integration reveal
ferroptosis-driven immune microenvironment remodeling in knee
osteoarthritis. Front Immunol. 16:16083782025. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Wei M, Shi X, Tang W, Lv Q, Wu Y and Xu Y:
Shared M0 macrophage infiltration-related gene signatures in
osteoarthritis and osteomyelitis by integrating bulk and
single-cell RNA transcriptome. Eur J Med Res. 30:11112025.
View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Deng M, Jiang Y, Chen Z, Chen K, Cao N,
Huang Y, Quan Z and Chen C: Senescent synovial intimal fibroblasts
aggravate osteoarthritis by regulating macrophage polarization and
chondrocyte phenotype through ANGPTL4-α5β1 axis. Adv Sci (Weinh).
13:e180562026. View Article : Google Scholar
|
|
48
|
Komaravolu RK, Mehta-D'souza P, Conner T,
Allen M, Lumry J, Batushansky A, Pezant NP, Montgomery CG and
Griffin TM: Sex-specific effects of injury and beta-adrenergic
activation on metabolic and inflammatory mediators in a murine
model of post-traumatic osteoarthritis. Osteoarthritis Cartilage.
32:1097–1112. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Huang J, Liu M, Zhang H, Sun G, Furey A,
Rahman P and Zhai G: Multi-omics integrative analyses identified
two endotypes of hip osteoarthritis. Metabolites. 14:4802024.
View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Tang S, Yao L, Ruan J, Kang J, Cao Y, Nie
X, Lan W, Zhu Z, Han W, Liu Y, et al: Single-cell atlas of human
infrapatellar fat pad and synovium implicates APOE signaling in
osteoarthritis pathology. Sci Transl Med. 16:eadf45902024.
View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Lu Y, Liu J, Wang S, Gan J, Cao W and Wu
B: Identification and validation of a glutamine metabolism-related
gene signature as a diagnostic and therapeutic target in
osteoarthritis through integrated multi-omics analysis. PeerJ.
14:e207012026. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Welsing PMJ, El Bouhaddani S, Zhu L,
Nijhof NC, Mastbergen SC, Wen C, Bacardit J, Ruiz-Romero C, Blanco
FJ and Mobasheri A: Omics-driven insights into the molecular
pathways driving osteoarthritis pathogenesis. Connect Tissue Res.
66:323–330. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Choi WS, Lee G, Song WH, Koh JT, Yang J,
Kwak JS, Kim HE, Kim SK, Son YO, Nam H, et al: The
CH25H-CYP7B1-RORα axis of cholesterol metabolism regulates
osteoarthritis. Nature. 566:254–258. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Lee G, Yang J, Kim SJ, Tran TT, Lee SY,
Park KH, Kwon SH, Chung KH, Koh JT, Huh YH, et al: Enhancement of
intracellular cholesterol efflux in chondrocytes leading to
alleviation of osteoarthritis progression. Arthritis Rheumatol.
77:151–162. 2025. View Article : Google Scholar :
|
|
55
|
Kosinska MK, Mastbergen SC, Liebisch G,
Wilhelm J, Dettmeyer RB, Ishaque B, Rickert M, Schmitz G, Lafeber
FP and Steinmeyer J: Comparative lipidomic analysis of synovial
fluid in human and canine osteoarthritis. Osteoarthritis Cartilage.
24:1470–1478. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Steinmeyer J: Phospholipids and
sphingolipids in osteoarthritis. Biomolecules. 15:2502025.
View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Ma H, Liu CM, Shao SQ, Song YY, Zhou J,
Cao LN, Yin HQ and Yin SL: Myriocin alleviates Oleic/Palmitate
induced chondrocyte degeneration via the suppression of ceramide.
Eur Rev Med Pharmacol Sci. 24:12938–12947. 2020.PubMed/NCBI
|
|
58
|
Cherifi C, Latourte A, Vettorazzi S,
Tuckermann J, Provot S, Ea HK, Ledoux A, Casas J, Cuvillier O,
Richette P, et al: Inhibition of sphingosine 1-phosphate protects
mice against chondrocyte catabolism and osteoarthritis.
Osteoarthritis Cartilage. 29:1335–1345. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
59
|
Jacquot F, Khoury S, Labrum B, Delanoe K,
Pidoux L, Barbier J, Delay L, Bayle A, Aissouni Y, Barriere DA, et
al: Lysophosphatidylcholine 16:0 mediates chronic joint pain
associated to rheumatic diseases through acid-sensing ion channel
3. Pain. 163:1999–2013. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
60
|
Pousinis P, Gowler PRW, Burston JJ, Ortori
CA, Chapman V and Barrett DA: Lipidomic identification of plasma
lipids associated with pain behaviour and pathology in a mouse
model of osteoarthritis. Metabolomics. 16:322020. View Article : Google Scholar : PubMed/NCBI
|
|
61
|
Cao C, Shi Y, Zhang X, Li Q, Zhang J, Zhao
F, Meng Q, Dai W, Liu Z, Yan W, et al: Cholesterol-induced LRP3
downregulation promotes cartilage degeneration in osteoarthritis by
targeting Syndecan-4. Nat Commun. 13:71392022. View Article : Google Scholar : PubMed/NCBI
|
|
62
|
Zhao Y, Hasse S, Vaillancourt M, Zhao C,
Davis L, Boilard E, Fortin P, Di Battista J, Poubelle PE and
Bourgoin SG: Phospholipase A1 member A activates fibroblast-like
synoviocytes through the autotaxin-lysophosphatidic acid receptor
axis. Int J Mol Sci. 22:126852021. View Article : Google Scholar : PubMed/NCBI
|
|
63
|
Zhou Q, Ghorasaini M, Cornelis FMF, Hayer
S, Giera M, Monteagudo S and Lories RJ: Temporal profiling of lipid
mediators in synovium and tibial plateau during joint inflammation
in a collagenase-induced mouse model of osteoarthritis.
Osteoarthritis Cartilage. 33:1307–1315. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
64
|
Lee JC: Microarray analysis after adipose
derived mesenchymal stem cells injection in monosodium
iodoacetate-induced osteoarthritis rats. Genes Genomics. 40:25–37.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
65
|
Huang G, Jiang W, Xie W, Lu W, Zhu W and
Deng Z: Role of peroxisome proliferator-activated receptors in
osteoarthritis (review). Mol Med Rep. 23:1592021. View Article : Google Scholar
|
|
66
|
Liu Z, Jiang H, Zhang Z, Jiang R, Wang R,
Li J, Li W, Tan G, Fei Y, Lv Z, et al: SESN2 maintains cartilage
homeostasis by SREBP1-mediated lipid metabolism during
osteoarthritis progression. iScience. 28:1130972025. View Article : Google Scholar : PubMed/NCBI
|
|
67
|
Sun MM and Beier F: Liver X receptor
activation regulates genes involved in lipid homeostasis in
developing chondrocytes. Osteoarthr Cartil Open. 2:1000302020.
View Article : Google Scholar : PubMed/NCBI
|
|
68
|
Park S, Oh J, Kim YI, Choe SK, Chun CH and
Jin EJ: Suppression of ABCD2 dysregulates lipid metabolism via
dysregulation of miR-141:ACSL4 in human osteoarthritis. Cell
Biochem Funct. 36:366–376. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
69
|
Kondreddy V, Magisetty J, Kathirvel M,
Helal M, Kumar P, Jala R and Das K: LPCAT3-ABCA1 axis regulates the
dose-sparing effects of steroid drugs in osteoarthritis in mice.
Int J Biol Macromol. 330:1481402025. View Article : Google Scholar : PubMed/NCBI
|
|
70
|
Pandey A and Bhutani N: Profiling joint
tissues at single-cell resolution: Advances and insights. Nat Rev
Rheumatol. 20:7–20. 2024. View Article : Google Scholar
|
|
71
|
Raut RD, Chakraborty AK, Neogi T, Albro M,
Snyder B, Schaer TP, Zhang C, Grinstaff MW and Bais MV: A
multi-tissue human knee single-cell atlas identifies that
osteoarthritis reduces regenerative tissue stem cells while
increasing inflammatory pain macrophages. Commun Biol. 8:11462025.
View Article : Google Scholar : PubMed/NCBI
|
|
72
|
Hu YJ, Yu YE, Cooper HJ, Shah RP, Geller
JA, Lu XL, Shane E, Bathon J, Lane NE and Guo XE: Mechanical and
structural properties of articular cartilage and subchondral bone
in human osteoarthritic knees. J Bone Miner Res. 39:1120–1131.
2024. View Article : Google Scholar : PubMed/NCBI
|
|
73
|
Wang H, Li M, Wang X, Han J and Zhang XA:
The Notch signaling pathway in regulating bone and cartilage
homeostasis: Novel insights into the pathogenesis and therapeutics
of osteoarthritis. Cell Commun Signal. 24:352025. View Article : Google Scholar : PubMed/NCBI
|
|
74
|
Semenistaja S, Skuja S, Kadisa A and Groma
V: Healthy and osteoarthritis-affected joints facing the cellular
crosstalk. Int J Mol Sci. 24:41202023. View Article : Google Scholar : PubMed/NCBI
|
|
75
|
Wang J, Liu C, Wang T, Li S, Bai Y, Pan F,
Wang J, Han J, Luo R, Wan X, et al: Single-cell communication
patterns and their intracellular information flow in synovial
fibroblastic osteoarthritis and rheumatoid arthritis. Immunol Lett.
263:1–13. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
76
|
Chen B, Sun Y, Xu G, Jiang J, Zhang W, Wu
C, Xue P and Cui Z: Role of crosstalk between synovial cells and
chondrocytes in osteoarthritis (review). Exp Ther Med. 27:2012024.
View Article : Google Scholar : PubMed/NCBI
|
|
77
|
Laouteouet D, Bortolotti O, Marineche L,
Hannemann N, Chambon M, Glasson Y, Dumé AS, De Lima J, Fournial M,
Touchet D, et al: Monocyte-derived macrophages-synovial fibroblasts
crosstalk unravels oncostatin signaling network as a driver of
synovitis in osteoarthritis. Arthritis Rheumatol. 78:105–118. 2026.
View Article : Google Scholar :
|
|
78
|
Chen P, Zeng L, Wang T, He J, Xiong S,
Chen G, Wang Q, Chen H and Xie J: The communication role of
extracellular vesicles in the osteoarthritis microenvironment.
Front Immunol. 16:15498332025. View Article : Google Scholar : PubMed/NCBI
|
|
79
|
Kong H, Zheng J, Han J, Meng X, Li X, Wang
X and Zhang XA: The crosstalk among macrophages, chondrocytes and
mesenchymal stem cells in osteoarthritis: The role of extracellular
vesicles. Stem Cell Res Ther. 16:5532025. View Article : Google Scholar : PubMed/NCBI
|
|
80
|
Liu N, Ma Y, Gong W, Shao X, Shi T, Li L,
Wu W, Chen X, Shi Y, Zhang P, et al: Osteocyte-derived
extracellular vesicles mediate the bone-to-cartilage crosstalk and
promote osteoarthritis progression. Nat Commun. 16:47462025.
View Article : Google Scholar : PubMed/NCBI
|
|
81
|
Li S, Yan Z, Zhi X, Zheng W, Zhang Z, Dai
Z, Chen W, Lu H, Feng Z, Cheng T, et al: Extracellular vesicles
from IPFP-MSCs trigger osteoarthritis by transferring mtDNA. Bioact
Mater. 58:252–273. 2026.PubMed/NCBI
|
|
82
|
Wu J, Wu J, Xiang W, Gong Y, Feng D, Fang
S, Wu Y, Liu Z, Li Y, Chen R, et al: Engineering exosomes derived
from TNF-α preconditioned IPFP-MSCs enhance both yield and
therapeutic efficacy for osteoarthritis. J Nanobiotechnology.
22:5552024. View Article : Google Scholar
|
|
83
|
Clarke EJ, Chabronova A and Peffers MJ:
Extracellular vesicles in cartilage homeostasis, osteoarthritis,
and biomarker discovery. Connect Tissue Res. 66:428–434. 2025.
View Article : Google Scholar : PubMed/NCBI
|
|
84
|
Yin X, Wang Q, Tang Y, Wang T, Zhang Y and
Yu T: Research progress on macrophage polarization during
osteoarthritis disease progression: A review. J Orthop Surg Res.
19:5842024. View Article : Google Scholar : PubMed/NCBI
|
|
85
|
Zou X, Xu H and Qian W: Macrophage
polarization in the osteoarthritis pathogenesis and treatment.
Orthop Surg. 17:22–35. 2025. View Article : Google Scholar :
|
|
86
|
He XX, Huang YJ, Hu CL, Xu QQ and Wei QJ:
Songorine modulates macrophage polarization and metabolic
reprogramming to alleviate inflammation in osteoarthritis. Front
Immunol. 15:13449492024. View Article : Google Scholar : PubMed/NCBI
|
|
87
|
Yin J, Huang J, Wu J, Gao L, Xu H, Zhu J,
Mai H, Luo J, Yao Z, Li Y, et al: Emapunil relieves osteoarthritis
by regulating the CD14/TLR4/LY96 pathway in synovial macrophages
through translocator protein 18 kDa. Osteoarthritis Cartilage.
33:1107–1120. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
88
|
Henry ÓC and O'Neill LAJ: Metabolic
reprogramming in stromal and immune cells in rheumatoid arthritis
and osteoarthritis: Therapeutic possibilities. Eur J Immunol.
55:e2024513812025. View Article : Google Scholar : PubMed/NCBI
|
|
89
|
Wang C, Zeng Z, Wang T, Xie Z, Zhang J,
Dong W, Zhang F and Peng W: Unraveling the spatial and signaling
dynamics and splicing kinetics of immune infiltration in
osteoarthritis synovium. Front Immunol. 16:15210382025. View Article : Google Scholar : PubMed/NCBI
|
|
90
|
Mobasheri A, Saarakkala S, Finnilä M,
Karsdal MA, Bay-Jensen AC and van Spil WE: Recent advances in
understanding the phenotypes of osteoarthritis. F1000Res. 8:F1000
Faculty Rev-20912019. View Article : Google Scholar : PubMed/NCBI
|
|
91
|
Mobasheri A and Loeser R: Clinical
phenotypes, molecular endotypes and theratypes in OA therapeutic
development. Nat Rev Rheumatol. 20:525–526. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
92
|
Mobasheri A, van Spil WE, Budd E,
Uzieliene I, Bernotiene E, Bay-Jensen AC, Larkin J, Levesque MC,
Gualillo O and Henrotin Y: Molecular taxonomy of osteoarthritis for
patient stratification, disease management and drug development:
Biochemical markers associated with emerging clinical phenotypes
and molecular endotypes. Curr Opin Rheumatol. 31:80–89. 2019.
View Article : Google Scholar
|
|
93
|
Henrotin Y: Osteoarthritis in year 2021:
Biochemical markers. Osteoarthritis Cartilage. 30:237–248. 2022.
View Article : Google Scholar
|
|
94
|
Hannani MT, Thudium CS, Karsdal MA, Ladel
C, Mobasheri A, Uebelhoer M, Larkin J, Bacardit J, Struglics A and
Bay-Jensen AC: From biochemical markers to molecular endotypes of
osteoarthritis: A review on validated biomarkers. Expert Rev Mol
Diagn. 24:23–38. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
95
|
Pattappa G, Karlsson NG,
Steinecker-Frohnwieser B, Mobasheri A, Bernotiene E, Zaucke F,
Roesch G, Uzieliene I, Meulenbelt I, Rios JL, et al: Towards
stratification in osteoarthritis: A review of the scientific
terminology used in published basic research. BMC Rheumatol.
9:1092025. View Article : Google Scholar : PubMed/NCBI
|
|
96
|
Karalilova R, Popova V, Batalov K, Kolev
D, Kodzhaahmed L, Petrova-Stoyankova D, Tepeliev N, Kostova T,
Mekenyan L and Batalov Z: Ultrasound phenotype-based approach to
treatment choice in osteoarthritis. Life (Basel).
15:11402025.PubMed/NCBI
|
|
97
|
Rockel JS, Sharma D, Espin-Garcia O,
Hueniken K, Sandhu A, Pastrello C, Sundararajan K, Potla P, Fine N,
Lively SS, et al: Deep learning-based clustering for endotyping and
post-arthroplasty response classification using knee osteoarthritis
multiomic data. Ann Rheum Dis. 84:844–855. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
98
|
Karsdal MA, Rovati LC, Tambiah J,
Kubassova O, Ladel C, Berenbaum F, Bay-Jensen AC, Mclean L, Loeser
R, Mobasheri A and Kraus VB: The inflammatory endotype in
osteoarthritis: Reflections from the 2024 OARSI clinical trials
symposium (CTS) with a special emphasis on feasibility for clinical
development. Osteoarthr Cartil Open. 7:1005722025. View Article : Google Scholar : PubMed/NCBI
|
|
99
|
Thudium CS, Hannani MT, Collins JE, Roemer
FW, Kraus VB, Bihlet AR, Karsdal MA and Bay-Jensen AC: Diagnosing,
treating and monitoring the inflammatory endotype in osteoarthritis
clinical trials. Expert Rev Mol Diagn. 25:709–722. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
100
|
Kim H, Seo J, Lee Y, Park K, Perry TA,
Arden NK, Mobasheri A and Choi H: The current state of the
osteoarthritis drug development pipeline: A comprehensive narrative
review of the present challenges and future opportunities. Ther Adv
Musculoskelet Dis. 14:1759720X2210859522022. View Article : Google Scholar : PubMed/NCBI
|
|
101
|
Jenei-Lanzl Z, Maurer S, Brenner RE,
Zaucke F, Fuchs M and Riegger J: Emerging concepts and challenges
in the development of disease-modifying osteoarthritis drugs-a more
refined perspective. Arch Pharm Res. 48:467–494. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
102
|
Hannani MT, Thudium CS, Gellhorn AC,
Larkin J, Karsdal MA, Lisowska-Petersen Z, Frederiksen P, Bager CL,
Ladel C, Struglics A, et al: Longitudinal stability of molecular
endotypes of knee osteoarthritis patients. Osteoarthritis
Cartilage. 33:166–175. 2025. View Article : Google Scholar
|
|
103
|
Oo WM: Prospects of disease-modifying
osteoarthritis drugs. Rheum Dis Clin North Am. 50:483–518. 2024.
View Article : Google Scholar : PubMed/NCBI
|
|
104
|
Ghirardi GM, Delrosso CA, Nerviani A and
Boutet MA: Molecular portrait of chronic joint diseases: Defining
endotypes toward personalized medicine. Joint Bone Spine.
91:1056922024. View Article : Google Scholar : PubMed/NCBI
|
|
105
|
Wang T, Li Z, Zhao S, Liu Y, Guo W,
Alarcòn Rodrìguez R, Wu Y and Wei R: Characterizing hedgehog
pathway features in senescence associated osteoarthritis through
Integrative multi-omics and machine learning analysis. Front Genet.
15:12554552024. View Article : Google Scholar : PubMed/NCBI
|
|
106
|
Wu Y, Hu H, Wang T, Guo W, Zhao S and Wei
R: Characterizing mitochondrial features in osteoarthritis through
integrative multi-omics and machine learning analysis. Front
Immunol. 15:14143012024. View Article : Google Scholar : PubMed/NCBI
|
|
107
|
Hao T, Pei Z, Hu S, Zhao Z, He W, Wang J,
Jiang L, Ariben J, Wu L, Yang X, et al: Identification of
osteoarthritis-associated chondrocyte subpopulations and key
gene-regulating drugs based on multi-omics analysis. Sci Rep.
15:124482025. View Article : Google Scholar : PubMed/NCBI
|
|
108
|
Winthrop KL, Mease P, Kerschbaumer A, Voll
RE, Breedveld FC, Smolen JS, Gottenberg JE, Baraliakos X, Kiener
HP, Aletaha D, et al: Unmet need in rheumatology: Reports from the
Advances in Targeted Therapies meeting, 2023. Ann Rheum Dis.
83:409–416. 2024. View Article : Google Scholar
|
|
109
|
Jamshidi A, Zhai G, Liu M, Zhang W, Jones
G, Cicuttini FM, Pelletier JP and Martel-Pelletier J: An
interpretable metabolomic-driven machine learning model for early
prediction of knee structural OA progression. Rheumatology
(Oxford). 65:keaf6862026. View Article : Google Scholar
|
|
110
|
Rafiei M, Das S, Bakhtiari M, Roos EM,
Skou ST, Grønne DT, Baumbach J and Baumbach L: Personalized
predictions for changes in knee pain among patients with
osteoarthritis participating in supervised exercise and education:
Prognostic model study. JMIR Rehabil Assist Technol. 12:e601622025.
View Article : Google Scholar : PubMed/NCBI
|
|
111
|
Sharma D: Artificial intelligence, machine
learning and omic data integration in osteoarthritis.
Osteoarthritis Cartilage. 34:311–320. 2026. View Article : Google Scholar
|
|
112
|
Russell J, Rosen J and Vella-Baldacchino
M: Artificial intelligence fails to outperform orthopaedic
surgeons: A systematic review. J Exp Orthop. 12:e705482025.
View Article : Google Scholar : PubMed/NCBI
|
|
113
|
Yan Y, Wang C, Zhang M, Jiang X and Cheng
W: Multi-omics integration identifies FGF1 as a diagnostic
biomarker and RAS-MAPK-driven pathogenic factor in osteoarthritis.
J Inflamm Res. 18:17803–17824. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
114
|
Kang Z, Zhang J, Liu W, Zhu C, Zhu Y, Li
P, Li K, Tong Q and Dai SM: Plasma proteomic profiles predict
individual future osteoarthritis risk. Arthritis Rheumatol.
77:981–995. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
115
|
Pang WW, Cai YS, Cao C, Zhang FR, Zeng Q,
Liu DY, Wang N, Qu XC, Chen XD, Deng HW and Tan LJ: Mendelian
randomization and transcriptome analysis identified immune-related
biomarkers for osteoarthritis. Front Immunol. 15:13344792024.
View Article : Google Scholar : PubMed/NCBI
|
|
116
|
Liao B, Mu Y, Luo M, Liu Y, Yang Q, Yang
H, Ye J, Wu Y, Cheng F, Sun X and Nie M: Unraveling the shared
genetic architecture of osteoarthritis and metabolic traits through
multi-omics insights. Osteoarthritis Cartilage. 34:460–474. 2026.
View Article : Google Scholar
|
|
117
|
Tu B, Fang R, Lu P, Liu M, Yang S, Hu D,
Ruan R and Ning R: Multi-omic profiling reveals age-specific blood
biomarkers and aging-driven B cell remodeling in osteoarthritis.
Int J Surg. 111:7814–7828. 2025. View Article : Google Scholar : PubMed/NCBI
|
|
118
|
Glinkowski WM, Spalińska A, Wołk A and
Wołk K: Artificial intelligence in orthopaedics: Clinical
performance, limitations, and translational readiness-a review. J
Clin Med. 15:17512026. View Article : Google Scholar : PubMed/NCBI
|
|
119
|
Luo G, Tan S, Luo L and Hu K: Artificial
intelligence and multimodal imaging in orthopaedics: From
technological advances to clinical translation. Front Med
(Lausanne). 12:17282482026. View Article : Google Scholar : PubMed/NCBI
|
|
120
|
Awasthi S, Tiwari PC, Awasthi S, Dwivedi A
and Srivastava S: Artificial intelligence in osteoarthritis
diagnosis and treatment: Advancements, challenges, and future
prospects. Hand Surg Rehabil. Jan 31–2026.Epub ahead of print.
View Article : Google Scholar : PubMed/NCBI
|
|
121
|
Kim SY, Choi BS, Han HS and Ro DH:
Artificial intelligence in orthopedics: Current applications,
challenges, and future directions. Knee Surg Relat Res. 38:142026.
View Article : Google Scholar : PubMed/NCBI
|
|
122
|
Fairley JL, Kapoor M and Sharma D:
Generative artificial intelligence in osteoarthritis: A systematic
scoping review of current applications and future directions.
Osteoarthritis Cartilage. 34:784–793. 2026. View Article : Google Scholar : PubMed/NCBI
|
|
123
|
Ou J, Zhang J, Alswadeh M, Zhu Z, Tang J,
Sang H and Lu K: Advancing osteoarthritis research: The role of AI
in clinical, imaging and omics fields. Bone Res. 13:482025.
View Article : Google Scholar : PubMed/NCBI
|
|
124
|
Kuswanto W and Baker MC: Repurposing drugs
for the treatment of osteoarthritis. Osteoarthritis Cartilage.
32:886–895. 2024. View Article : Google Scholar : PubMed/NCBI
|
|
125
|
Maroun G, Fissoun C, Villaverde M,
Brondello JM and Pers YM: Senescence-regulatory factors as novel
circulating biomarkers and therapeutic targets in regenerative
medicine for osteoarthritis. Joint Bone Spine. 91:1056402024.
View Article : Google Scholar
|
|
126
|
Han M, Lin W, Cao Y, Murray P, Wilm B,
McWilliam SJ, Curran J and Xie R: Microphysiological systems for
comorbidity studies: Chronic kidney disease and osteoarthritis. Adv
Healthc Mater. 14:e25005502025. View Article : Google Scholar : PubMed/NCBI
|
|
127
|
Del Río E: A multidimensional definition
of pre-osteoarthritis: Toward 21st-century subclinical detection
and targeted intervention. Int J Mol Sci. 26:114472025. View Article : Google Scholar : PubMed/NCBI
|
|
128
|
Eichner G, Liebisch G, Hild C, Rickert M
and Steinmeyer J: Serum phospholipids and sphingolipids are linked
to early-stage osteoarthritis by lipidomic profiling. Arthritis Res
Ther. 27:692025. View Article : Google Scholar : PubMed/NCBI
|
|
129
|
Saha P, Defernez M, Gall GL,
Cardenas-Canto P, Dainty J, Wortley GM, Yates M, Davidson R, Clark
IM, Traka M, et al: OA04 Metabolomic predictors of osteoarthritis
onset in the UK Biobank. Rheumatology. 65(Suppl 2):
keag121.0042026. View Article : Google Scholar
|
|
130
|
Xu S, Driban JB, Prakash PS, McAlindon TE,
Eaton CB and Lu B: Metabolomic signatures of dietary patterns and
incident radiographic knee osteoarthritis: A case-cohort study from
the osteoarthritis initiative. J Rheumatol. 53:443–449. 2026.
View Article : Google Scholar
|
|
131
|
Tay MRJ, Kim JM, Ong PL, Khin LW, Wong CJ,
Kong KH, Tan BY, Lee ES, Sim SZ, Lim WS, et al: Targeting
osteosarcopenia and multimorbidity for frailty prevention through
identification and deep phenotyping methods in healthy ageing and
high-burden disease cohorts (OPTIMA-C): A longitudinal
observational cohort study protocol for neuromusculoskeletal muscle
health. BMJ Open. 15:e0942792025. View Article : Google Scholar
|