Abstract
Background In a recent genome-wide association study, novel genetic variations of WNT9A were reported to be involved in the etiopathogenesis of thumb osteoarthritis (TOA) in Caucasians. Our purposes were to replicate the association of WNT9A with the development of TOA in the Chinese population and to further unveil the functional role of the risk variants.
Methods SNP rs11588850 of WNT9A were genotyped in 953 TOA patients and 1124 healthy controls. The differences of genotype and allele distributions between the patients and healthy controls were evaluated using the Chi-square test. Luciferase Reporter Assay was performed to investigate the influence of variant on the gene expression.
Results There was significantly lower frequency of genotype AA in TOA patients than in the controls 74.9% vs. 81.9%, p < 0.001). The frequency of allele A was remarkably lower in the patients than in the controls (86.3% vs. 90.5%, p < 0.001), with an odds ratio of 0.66 (95% CI = 0.54–0.80). Luciferase Reporter Assay showed that the construct containing mutant allele G of rs11588850 displayed 29.1% higher enhancer activity than the wild allele A construct (p < 0.05).
Conclusions Allele G of rs11588850 was associated with the increased risk of TOA possibly via up-regulation of WNT9A expression. Further functional analysis into the regulatory role of rs11588850 in WNT9A expression can shed new light on the genetic architecture of TOA.
Key Points
-
Genetic variants of WNT9A were associated with the incidence and severity of TOA.
-
Allele G of rs11588850 was associated with an increased transcriptional activity of WNT9A promoter.
-
Allele G of rs11588850 may add to the risk of TOA possibly via up-regulation of WNT9A expression.
-
Further functional analysis into the regulatory role of rs11588850 in WNT9A expression can shed new light on the genetic architecture of TOA.
Introduction
Osteoarthritis (OA) is a chronic disease characterized by pain and decreased range of motion of the affected joints including knees, hips, hands and lower spine [1–3]. As a late-onset disease, the prevalence of OA increases with age [4, 5]. Hand OA (HOA) was reported to be a common type of OA, in addition to knee and hip OA. In the population aged more than 65 years, 38% of men and 62% of women had radiographic evidence of HOA [6 – 8]. People with HOA may have structural damage of hand joint accompanied by pain and stiffness, which eventually hamper their activities of daily living. It was reported by previous studies that HOA could confer severe clinical burden on the patients even comparable to rheumatoid arthritis [9, 10]. Although the exact aetiology of HOA remains largely unknown, systematic inflammation affecting articular cartilage, subchondral bone, synovial membrane, or ligaments has been reported as a potential risk factor [11, 12].
To date, numerous studies have been performed to unveil the genetic factors associated with hip or knee OA [13 – 15]. By contrast, there was a lack of knowledge concerning the etiopathogenesis of HOA. Therefore, identification or replication of novel variants associated with HOA is critical for a better understanding of the genetic background of this disease. Previous twin studies and familial clustering showed that HOA was a multifactorial disorder with strong genetic components [16]. The heritability of OA as estimated from twin studies ranged from 39 to 65% depending on the joint affected [17]. The risk of HOA in first-degree relatives of probands was two to five-fold higher than the general population [7]. To date, a number of candidate genes of HOA have been implicated by linkage and association studies. One genome-wide linkage analysis identified chromosome 2q11-q21 region as the susceptible locus for severe HOA in Finnish population [16]. Zhang et al. [18] reported one variant in KLOTHO gene is associated with the susceptibility of HOA through osteophyte formation in female Caucasian population. Wang et al. [19] reported that the minor allele of rs11177 was associated with increased susceptibility of HOA and clinical features of the patients in the Chinese population. However, these genes can explain only a small part of the genetic component.
Compared with candidate association study, genome-wide association study is a more powerful tool to uncover novel susceptible genes of human disease. Recently, Boer et al. [20] performed a genome-wide association study in 8700 HOA patients to determine novel associated genetic variations, which were further replicated in an independent cohort of 1203 patients. They identified a novel genetic locus for HOA on chromosome 1, and WNT9A was reported as a possible novel causal gene involved in the pathogenesis of thumb OA (TOA) in Caucasians [20]. To date, no replication study was reported to validate the association of WNT9A variant with the development of TOA in other populations. In this study, we recruited a cohort of TOA patients who received treatment in our clinic centers. Our purposes were to investigate the association of WNT9A with the development of TOA in the Chinese population and to further unveil the functional role of the risk variants.
Methods
Subjects
We retrospectively reviewed patients who visited our clinic centers due to swelling or pain of the hands between June 2016 and May 2020. Standard posteroanterior radiographs of both hands were taken for the patients, and joints of the thumb were assessed for radiographic TOA according to Kellgren/Lawrence (K/L) score as previously described [21]. The X-ray radiographs were independently evaluated by two senior surgeons. Radiographic changes of the joint were recorded for each patient, such as presence of osteophytes, joint-space narrowing, subchondral sclerosis, or cortical collapse. A joint was defined as OA affected if the K/L score was more than or equal to 2 [21]. Patients with two or more affected joints were recruited as TOA cases. Specifically, patients with nodal or erosive OA were all excluded from the study. The baseline characteristics of TOA patients were then collected from the medical records, including age, gender and body mass index (BMI). Pain analog scale (PAS) was used to evaluate the pain severity of the patients on a scale of 0–10, with 0 indicating no pain and 10 indicating the worst pain. Individuals with no affected joints of the hands were recruited as normal controls. All the controls were excluded to have TOA through X-rays of both hands. All the participants were excluded to have a history of gout, rheumatoid arthritis, hand joint surgery, or other chronic inflammatory diseases. All diagnostic procedures were performed in compliance with the Helsinki Declaration. Under the approval of the local ethics committee, written informed consents were obtained from the participants.
Genotyping of target single nucleotide polymorphisms (SNP)s
Blood samples were collected from the subjects and the genomic DNA was extracted using the commercial kit (QIAGEN, Tokyo, Japan). Two SNPs of WNT9A, including rs10916199 and rs11588850, were genotyped with TaqMan SNP Genotyping Assay. The Amplification was performed in 30 µl reaction volumes, composed of 9 µl genomic DNA, 15 µl of the TaqMan Genotyping master mix, 3 µl TaqMan Genotyping assay mix, and 3 µl of distilled deionized water. The genotyping assay outcome was analyzed on ABI 7900HT Sequence Detection System (Applied Biosystem, Foster City, CA). 10% of the samples were randomly selected to validate the reproducibility of the genotyping outcome. 100% reproducibility was successfully confirmed.
Cell cultures and luciferase reporter assay
The pGL3-basic plasmid (Bio Basic Inc. Markham, ON, Canada) was digested with SacI and MluI. Three constructs were synthesized and cloned into the pGL3-basic vector. The DNA fragment containing the promoter region of WNT9A was ligated to generate the pGL3-basic-P construct. Besides, the predicted enhancer sequences with different variants of rs11588850 (G or A allele) were ligated into the constructs, generating one constructs with mutant allele type (pGL3-basic-P-G) and the other construct with wide allele type (pGL3-basic-P-A). Renilla luciferase was used as an internal control, and pGL3-basic vector was used as a negative control. PureLink™ HiPure Plasmid Maxiprep Kit (Invitrogen, Waltham, MA, USA) was used to isolate the plasmid DNA.
Human embryonic kidney (HEK) 293T cells were cultured for the following Luciferase Reporter Assay, which were maintained at 37°C and 5% CO2 in Dulbecco's modified essential medium. Lipofectamine 2000 (Invitrogen, Waltham, MA, USA) was used to transfect the construct according to the manufacturer's instructions. After transfection, the HEK293T cells were seeded into 96-well plates at a density of 10,000 cells per well for 24 h. The signal of luminescence was detected on an EnSpire™ Multilabel Plate Reader (Perkin Elmer, Waltham, MA, USA) with Firefly & Renilla Luciferase Single Tube Assay Kit (Biotium, Fremont, CA, USA). Three independent experiments with at least five technical replicates were performed for each construct. The relative luciferase activities were calculated with the activity of pGL3-basic construct defined as 1.
Statistical analysis
The SPSS software (version 23.0, Chicago, USA) was used for statistical analysis. The continuous descriptive data were displayed as the mean ± standard deviation (SD). Inter-group comparison of the baseline characteristics was performed by the Student t test. For categorical data, the Chi-square test was used to compare the difference between the two groups. Hardy–Weinberg equilibrium tests were conducted in control samples to detect potential selection bias. The Chi-square analysis was used to compare the frequency of genotype and risk allele between the TOA cases and controls. The odds ratio (OR) and 95% confidential intervals (CIs) were calculated for each SNP. To analyze the relationship between risk variant and the clinical features, the Chi-square test was used to compare the distribution of genotypes in patients with different K/L scores (score 2, 3 or 4) or different PAS scores (1-3, 4-6, 7-10). A P-value of less than 0.05 was considered statistically significant. Genetic Association Study Power Calculator (https://csg.sph.umich.edu/abecasis/gaspowercalculator/) was used to estimate the statistical power of our sample size, which indicated more than 90% statistical power for detecting a SNP with an OR of more than 1.2.
Results
Baseline characteristics of the subjects
The demographic data of the patients were summarized in Table 1. There was no significant difference between the patients and the controls in terms of the mean age (47.8 ± 11.3 vs. 46.3 ± 13.4, p = 0.11), BMI (25.8 ± 5.3 vs. 25.5 ± 6.1, p = 0.24), smoking (p = 0.45), alcohol consumption (p = 0.32), or gender (p = 0.34). There were 314 (32.9%) patients scored as KL grades 2, 331 (34.7%) patients scored as KL grades 3, and 308 (32.3%) patients scored as KL grade 4, respectively. As for PAS score, 429 (45%) patients were rated as 1–3 (mild), 305 (32%) patients were rated as 4–6 (moderate) and 219 (23%) patients were rated as 7–10 (severe), respectively.
Replication of TOA-associated variants
HWE test showed no significant deviation regarding the distribution of the genotype frequency of rs10916199 and rs11588850 among the controls. As summarized in Tables 2, for rs10916199 of WNT9A, there was significantly lower frequency of genotype AA in TOA patients than in the controls (73.3% vs. 79.2%, p = 0.001). The frequency of allele A was remarkably lower in the patients than in the controls (85.4% vs. 88.9%, p = 0.001), with an odds ratio of 0.73 (95% CI = 0.61–0.88). Similarly, for rs11588850, there was significantly lower frequency of genotype AA in TOA patients than in the controls 74.9% vs. 81.9%, p < 0.001). The frequency of allele A was remarkably lower in the patients than in the controls (86.3% vs. 90.5%, p < 0.001), with an odds ratio of 0.66 (95% CI = 0.54–0.80). The two variants were in high LD (D’ = 0.93, r2 = 0.66).
Comparison of the frequency of the genotype and allele for rs10916199 and rs11588850 between the patients and the controls
Functional experiment of SNP rs11588850
We performed a reporter assay to determine if variant rs11588850 could affect the regulation of gene expression. As shown in Fig. 1, the WNT9A promoter can remarkably increase the expression of reporter vector as compared to the empty pGL3-basic vector (p < 0.05). Moreover, the mutant allele G construct displayed 29.1% higher enhancer activity than the wild allele A construct (p < 0.05).
Outcome of Luciferase reporter assay. The Luciferase reporter assays for rs11588850 (A/G) on WNT9A promoter were performed in the HEK293 cell lines. Empty pGL3-basic vector was used as reference. The WNT9A promoter can remarkably increase the expression of reporter vector as compared to the empty pGL3-basic vector (p < 0.05). The mutant allele G construct presented 29.1% higher enhancer activity than the wild allele A construct (p < 0.05)
Relationship between rs11588850 and clinical phenotypes of TOA
As shown in Table 3, rs11588850 was significantly associated with the severity of KL grade and PAS score in TOA patients. The frequency of genotype AA in patients with KL grade 2 was significantly higher than those with grade 3 or 4 (p = 0.01). Besides, the frequency of genotype AA in patients with PAS score of 1–3 was significantly higher than those with PAS score of 4–6 or 7–10 (p = 0.03).
Discussion
Previous GWAS has reported several novel variants in WNT9A which were associated with the risk of TOA in the European population [20]. To validate the role of WNT9A in the development of TOA, we replicated two novel variants of WNT9A and confirmed that rs10916199 and rs11588850 were significantly associated with TOA in the Chinese population. We found that both allele A of rs10916199 and allele A of rs11588850 could remarkably decrease the risk of TOA by 0.73 fold and 0.66 fold, respectively. This finding was consistent with the study of Boer et al. who reported a decreased TOA risk of 0.91 fold in subjects with allele A of rs10916199 from the European population. Difference regarding the OR of the risk allele between the Chinese population and the European population was noted, which we speculated could be attributed to the ethic difference. Herein, the association of variants in WNT9A with TOA was worthy of further replication in more populations on the basis of larger sample size.
Located in the promoter region of WNT9A, rs11588850 was predicted to affect the binding motif for RAD21 which has been previously shown to bind to the WNT9A promoter region [20]. To investigate the molecular mechanism underlying the association of rs11588850 with TOA, for the first time, we analyzed the functional role of rs11588850 via the luciferase assay. Constructs containing the TOA -susceptibility allele (G allele) of rs11588850 showed remarkably higher enhancer activity than those containing the non-susceptibility allele A, indicating that the variant could affect the transcription level of WNT9A. In line with our findings, Boer et al. [20] reported that TOA patients had remarkably higher WNT9A expression in synovium tissues of knees than normal controls. Besides, the frequency of allele G of rs11588850 was significantly higher in TOA patients than in the normal controls. Taken together, it was plausible that allele G of rs11588850 was associated with the risk of TOA via up-regulation of WNT9A expression.
Previously known as WNT14, WNT9A is a member of the WNT gene family which has been reported to modulate key biological processes in development, growth, and homeostasis of the bone and joints [22]. Excessive activation of the WNT signaling pathway has been associated with the onset and severity of OA in the articular cartilage [23]. Hartmann et al. [24] reported that targeted misexpression of WNT9A led to down regulation of Sox9 and collagen type II in chondrocytes, concomitant with the histological appearance of a cartilaginous discontinuity. Knockout of WNT9A was reported to lead to a more severe disease phenotype in an arthritis model [25]. Interestingly, in this study, we observed that the risk allele of rs11588850 is associated with more severe pain and radiographic features of hand joint. Considering the role of rs11588850 in the regulation of WNT9A expression, it was probable that up-regulated WNT9A expression may indicate poor prognosis of TOA. The functional role of WNT9A in the progression of TOA was worthy of further investigation in the future study.
Several limitations of our study should be addressed here. First, we performed no in-vivo experiments to unveil the transcriptional factors that bind to the promoter region of WNT9A. More functional experiments such as electrophoretic mobility shift assay or chromatin immunoprecipitation assay are warranted to clarify the underlying regulatory mechanism. Second, the sample size of our study was relatively small, which might lead to selection bias of the cases. Third, more confounders such smoking, occupation and mechanical use of hand joint need to be included to evaluate the interaction between genetic factors and the environmental factors associated with TOA. Third, as the control group of our study were recruited through a free screening program of TOA in the community and most of the controls were male subjects. To match the control group, the case group in our study had more male patients than female patients, who were younger than 50 years predominantly. In the future study, the association between WNT9A and TOA can be validated in more female subjects aged more than 50 years.
Conclusions
We validated that WNT9A was associated with the incidence and severity of TOA in the Chinese population. Allele G of rs11588850 was associated with the increased risk of TOA possibly via up-regulation of WNT9A expression. Further functional analysis into the regulatory role of rs11588850 in WNT9A expression can shed new light on the genetic architecture of TOA.
-
FundingNo funding was received for this study.
-
DeclarationsEthics approval and consent to participateApproved by the Institutional Review Board (IRB)/Independent Ethics Committee (IEC) of Huai'an First People's Hospital. All subjects have provided informed consent to take part in the study.
-
Consent for publicationNot applicable.
-
Publisher's NoteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Data Availability
All the data supporting our findings can be provided on request.
Acknowledgements
We gratefully acknowledge the support of all doctors in our department.
References
-
1 Duruoz MT, Erdem Gursoy D, Tuncer T, Altan L, Ayhan F, Bal A, Bilgilisoy M, Cerrahoglu L, Capkin E, Cay HF, et al. The clinical, functional, and radiological features of hand osteoarthritis: TLAR-osteoarthritis multi-center cohort study. Arch Rheumatol. 2022;37:375–82. https://doi.org/10.46497/ArchRheumatol.2022.9234
» https://doi.org/10.46497/ArchRheumatol.2022.9234 -
2 Hana S, Aicha BT, Selim D, Ines M, Rawdha T. Clinical and radiographic features of knee osteoarthritis of Elderly patients. Curr Rheumatol Rev. 2018;14:181–7. https://doi.org/10.2174/1573397113666170425150133
» https://doi.org/10.2174/1573397113666170425150133 -
3 Meyer CA, Corten K, Fieuws S, Deschamps K, Monari D, Wesseling M, Simon JP, Desloovere K. Biomechanical gait features associated with hip osteoarthritis: towards a better definition of clinical hallmarks. J Orthop Res. 2015;33:1498–507. https://doi.org/10.1002/jor.22924
» https://doi.org/10.1002/jor.22924 -
4 Arslan IG, Damen J, de Wilde M, van den Driest JJ, Bindels PJE, van der Lei J, Schiphof D, Bierma-Zeinstra SMA. Incidence and prevalence of knee osteoarthritis using codified and Narrative Data from Electronic Health Records: a Population-based study. Arthritis Care Res (Hoboken). 2022;74:937–44. https://doi.org/10.1002/acr.24861
» https://doi.org/10.1002/acr.24861 -
5 Iidaka T, Horii C, Muraki S, Oka H, Kawaguchi H, Nakamura K, Akune T, Tanaka S, Yoshimura N. Trends in prevalence of hip osteoarthritis over a 10-year period in Japan: the ROAD study 2005–2015. Osteoarthr Cartil Open. 2022;4:100285. https://doi.org/10.1016/j.ocarto.2022.100285
» https://doi.org/10.1016/j.ocarto.2022.100285 -
6 Cho HJ, Morey V, Kang JY, Kim KW, Kim TK. Prevalence and risk factors of spine, shoulder, Hand, hip, and knee osteoarthritis in community-dwelling koreans older Than Age 65 years. Clin Orthop Relat Res. 2015;473:3307–14. https://doi.org/10.1007/s11999-015-4450-3
» https://doi.org/10.1007/s11999-015-4450-3 -
7 Haugen IK, Magnusson K, Turkiewicz A, Englund M. The prevalence, incidence, and progression of Hand Osteoarthritis in Relation to Body Mass Index, Smoking, and Alcohol Consumption. J Rheumatol. 2017;44:1402–9. https://doi.org/10.3899/jrheum.170026
» https://doi.org/10.3899/jrheum.170026 -
8 Kodama R, Muraki S, Oka H, Iidaka T, Teraguchi M, Kagotani R, Asai Y, Yoshida M, Morizaki Y, Tanaka S, et al. Prevalence of hand osteoarthritis and its relationship to hand pain and grip strength in Japan: the third survey of the ROAD study. Mod Rheumatol. 2016;26:767–73. https://doi.org/10.3109/14397595.2015.1130673
» https://doi.org/10.3109/14397595.2015.1130673 - 9 Zvekic S, Minakovic I, Krasnik R, Mikic D, Mikov J, Stamenkovic B. Structural damage of the hand in hand osteoarthritis: impact on function, pain, and satisfaction. Hippokratia. 2022;26:7–12.
-
10 Duarte-Salazar C, Marin-Arriaga N, Miranda-Duarte A. The High Clinical Burden of Erosive Hand Osteoarthritis is Associated with Clinical findings, Pain, and Radiographic Severity. Reumatol Clin (Engl Ed). 2021. https://doi.org/10.1016/j.reuma.2021.03.002
» https://doi.org/10.1016/j.reuma.2021.03.002 -
11 Mancarella L, Addimanda O, Cavallari C, Meliconi R. Synovial Inflammation Drives Structural Damage in Hand Osteoarthritis: a narrative literature review. Curr Rheumatol Rev. 2017;13:43–50. https://doi.org/10.2174/1573397112666160909105903
» https://doi.org/10.2174/1573397112666160909105903 -
12 Buckland J. Osteoarthritis: subchondral bone erosion in hand OA: insights into the role of inflammation. Nat Rev Rheumatol. 2012;8:501. https://doi.org/10.1038/nrrheum.2012.137
» https://doi.org/10.1038/nrrheum.2012.137 -
13 Milaras C, Lepetsos P, Dafou D, Potoupnis M, Tsiridis E. Association of Matrix Metalloproteinase (MMP) gene polymorphisms with knee osteoarthritis: a review of the literature. Cureus. 2021;13:e18607. https://doi.org/10.7759/cureus.18607
» https://doi.org/10.7759/cureus.18607 - 14 Yazdi MM, Jamalaldini MH, Sobhan MR, Jafari M, Mazaheri M, Zare-Shehneh M, Neamatzadeh H. Association of ESRalpha Gene Pvu II T > C, XbaI A > G and BtgI G > A polymorphisms with knee osteoarthritis susceptibility: a systematic review and Meta-analysis based on 22 case-control studies. Arch Bone Jt Surg. 2017;5:351–62.
-
15 Sobhan MR, Mehdinejad M, Jamaladini MH, Mazaheri M, Zare-Shehneh M, Neamatzadeh H. Association between aspartic acid repeat polymorphism of the asporin gene and risk of knee osteoarthritis: a systematic review and meta-analysis. Acta Orthop Traumatol Turc. 2017;51:409–15. https://doi.org/10.1016/j.aott.2017.08.001
» https://doi.org/10.1016/j.aott.2017.08.001 -
16 Livshits G, Kato BS, Zhai G, Hart DJ, Hunter D, MacGregor AJ, Williams FM, Spector TD. Genomewide linkage scan of hand osteoarthritis in female twin pairs showing replication of quantitative trait loci on chromosomes 2 and 19. Ann Rheum Dis. 2007;66:623–7. https://doi.org/10.1136/ard.2006.060236
» https://doi.org/10.1136/ard.2006.060236 -
17 MacGregor AJ, Li Q, Spector TD, Williams FM. The genetic influence on radiographic osteoarthritis is site specific at the hand, hip and knee. Rheumatology (Oxford). 2009;48:277–80. https://doi.org/10.1093/rheumatology/ken475
» https://doi.org/10.1093/rheumatology/ken475 -
18 Zhang F, Zhai G, Kato BS, Hart DJ, Hunter D, Spector TD, Ahmadi KR. Association between KLOTHO gene and hand osteoarthritis in a female caucasian population. Osteoarthritis Cartilage. 2007;15:624–9. https://doi.org/10.1016/j.joca.2006.12.002
» https://doi.org/10.1016/j.joca.2006.12.002 -
19 Wang X, Xiao L, Wang Z, Zhi L, Li Q. Common variants in GNL3 gene contributed the susceptibility of hand osteoarthritis in Han Chinese population. Sci Rep. 2022;12:16110. https://doi.org/10.1038/s41598-022-20287-4
» https://doi.org/10.1038/s41598-022-20287-4 -
20 Boer CG, Yau MS, Rice SJ, Coutinho de Almeida R, Cheung K, Styrkarsdottir U, Southam L, Broer L, Wilkinson JM, Uitterlinden AG, et al. Genome-wide association of phenotypes based on clustering patterns of hand osteoarthritis identify WNT9A as novel osteoarthritis gene. Ann Rheum Dis. 2021;80:367–75. https://doi.org/10.1136/annrheumdis-2020-217834
» https://doi.org/10.1136/annrheumdis-2020-217834 -
21 Pishgar F, Kwee RM, Haj-Mirzaian A, Guermazi A, Haugen IK, Demehri S. Association between Race and Radiographic, Symptomatic, and clinical Hand Osteoarthritis: a propensity score-matched study using Osteoarthritis Initiative Data. Arthritis Rheumatol. 2022;74:453–61. https://doi.org/10.1002/art.41231
» https://doi.org/10.1002/art.41231 -
22 Maeda K, Kobayashi Y, Koide M, Uehara S, Okamoto M, Ishihara A, Kayama T, Saito M, Marumo K. The Regulation of Bone Metabolism and disorders by wnt signaling. Int J Mol Sci. 2019;20. https://doi.org/10.3390/ijms20225525
» https://doi.org/10.3390/ijms20225525 -
23 Cheng J, Li M, Bai R. The wnt signaling cascade in the pathogenesis of osteoarthritis and related promising treatment strategies. Front Physiol. 2022;13:954454. https://doi.org/10.3389/fphys.2022.954454
» https://doi.org/10.3389/fphys.2022.954454 -
24 Hartmann C, Tabin CJ. Wnt-14 plays a pivotal role in inducing synovial joint formation in the developing appendicular skeleton. Cell. 2001;104:341–51. https://doi.org/10.1016/s0092-8674(01)00222-7
» https://doi.org/10.1016/s0092-8674(01)00222-7 -
25 Teufel S, Kockemann P, Fabritius C, Wolff LI, Bertrand J, Pap T, Hartmann C. Loss of the WNT9a ligand aggravates the rheumatoid arthritis-like symptoms in hTNF transgenic mice. Cell Death Dis. 2021;12:494. https://doi.org/10.1038/s41419-021-03786-6
» https://doi.org/10.1038/s41419-021-03786-6
Publication Dates
-
Publication in this collection
11 Mar 2024 -
Date of issue
2024
History
-
Received
02 Sept 2023 -
Accepted
04 Nov 2023 -
Published
29 Jan 2024