Abstract
Background
Psoriasis is a chronic inflammatory skin disorder affecting a significant portion of the global population. Biologics targeting the IL-17 and IL-23 pathways are effective in treating moderate-to-severe psoriasis; however, most clinical trials have been conducted in Western populations, leaving limited data on their efficacy and safety in Asian populations. Ethnic differences due to genetic and environmental factors can influence treatment responses. This meta-analysis evaluates the efficacy and safety of IL-17/23 inhibitors in Asian patients with moderate-to-severe psoriasis.
Methods
A systematic review and meta-analysis of randomized controlled trials (RCTs) published between 2019 and 2025 was conducted in accordance with the PRISMA 2020 guidelines. Comprehensive searches were performed in PubMed, Embase, Scopus and clinicaltrial.gov databases to identify studies evaluating IL-17 and IL-23 inhibitors in Asian adults with moderate-to-severe psoriasis. Eligible studies compared these biologics with placebo or active comparators. The primary outcome was treatment efficacy, assessed by improvement in Psoriasis Area and Severity Index (PASI). Secondary outcomes included treatment-emergent adverse events (AEs). Data were pooled using random-effects models, and results were expressed as Odds ratios (RRs) with 95% confidence intervals (CIs).
Results
A total of 30 randomized controlled trials (RCTs) involving 14,000 Asian and mixed-ethnicity participants were included. The meta-analysis demonstrated a significant overall efficacy advantage of IL-17 and IL-23 inhibitors over placebo or active comparators (log OR = 1.25; 95% CI 0.98–1.52; p < 0.0001). Subgroup analyses confirmed consistent treatment responses across efficacy measures—PASI 75 (log OR = 1.36; 95% CI 0.97–1.75; I² = 64.5%) and PASI 90 (log OR = 1.23; 95% CI 0.87–1.58; I² = 92.4%)—as well as across biologic classes (IL-17: log OR = 1.43 [1.09–1.77]; IL-23: log OR = 1.04 [0.60–1.49]). When stratified by population, efficacy remained high among Asian cohorts (log OR = 1.40 [1.17–1.62]) and mixed populations (log OR = 1.08 [0.51–1.65]).
Safety analyses showed that treatment-emergent adverse events (TEAEs) were mostly mild to moderate (50–85% for IL-17, 64–92% for IL-23), and serious adverse events (SAEs) occurred in < 5% of patients, without treatment-related deaths or unexpected immune-mediated events.
Conclusions
IL-17 and IL-23 inhibitors demonstrate high efficacy and favorable safety profiles in Asian adults with moderate-to-severe psoriasis, consistent with global evidence. Both biologic classes achieved substantial clinical improvements in PASI with low rates of serious adverse events.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12865-025-00789-2.
Keywords: Psoriasis, IL-17 inhibitors, IL-23 inhibitors, Biosimilars and asian populations
Introduction
Psoriasis is a chronic, immune-mediated skin disease affecting approximately 2–3% of the global population and significantly impacting quality of life [1]. For patients with moderate-to-severe disease, biologic therapies targeting the interleukin (IL)−17 and IL-23 pathways have transformed clinical management. Large phase III trials have demonstrated that IL-17 inhibitors (secukinumab, ixekizumab) and IL-23 inhibitors (guselkumab, risankizumab) achieve rapid and sustained improvements in Psoriasis Area and Severity Index (PASI) outcomes compared with conventional systemic therapies [2–4].
However, most pivotal biologic trials have been conducted predominantly in Western populations, resulting in under-representation of East Asian patients and limited ethnicity-specific evidence [5, 6]. This evidence gap is clinically important because genetic and phenotypic characteristics differ between East Asian and non–East Asian populations. For example, East Asian populations have a higher prevalence of the HLA-Cw6 allele, which has been linked to variability in therapeutic response in pharmacogenetic studies [7]. East Asian patients also typically have lower body mass indices (BMI), which may influence biologic drug exposure under fixed-dose regimens [8]. In addition, East–West differences in gut microbiome composition and environmental microbial exposures may modulate immune pathways relevant to psoriasis, including the IL-23/IL-17 axis [9].
Although real-world studies from Japan, South Korea, China, and Southeast Asia are emerging, the available evidence remains fragmented and heterogeneous. Therefore, a focused synthesis is needed to better understand treatment outcomes among East Asian patients. This systematic review and meta-analysis evaluate the efficacy and safety of IL-17 and IL-23 inhibitors in East Asian adults with moderate-to-severe plaque psoriasis, using data from randomized controlled trials published between 2019 and 2025. The findings aim to support region-specific clinical decision-making and guide optimization of biologic therapy in East Asian practice.
Methods
Search strategy
A systematic literature search was conducted in accordance with the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Electronic databases including PubMed, Embase, Scopus, and ClinicalTrials.gov were searched from January 2019 to April 2025 using a combination of keywords and MeSH terms: “biologic,” “psoriasis,” “randomized controlled trial,” “IL-17 inhibitor,” “IL-23 inhibitor,” and specific drug names, for instance bimekizumab, risankizumab, guselkumab, brodalumab, secukinumab). Two reviewers (M.B.B. and M.A.) independently screened titles, abstracts, and full texts, with discrepancies resolved by discussion or a third reviewer (S.J.).
Study selection
Studies were included they met the predefined criteria: (1) randomized controlled trials (RCTs) evaluating safety and efficacy of IL-17/IL-23 inhibitors for moderate to severe plaque psoriasis, (2) Reported at least one efficacy endpoint (Psoriasis Area and Severity Index [PASI] 75/90/100, Investigator’s Global Assessment [IGA] 0/1, or static Physician’s Global Assessment [sPGA] 0/1) and at least one safety endpoint (treatment-emergent adverse events [TEAEs], serious adverse events [SAEs], or discontinuations due to AEs), 3) follow-up duration ≥ 12 weeks and have Asian population. Trials evaluating other biologic classes, such as tumor necrosis factor-α (TNF-α) inhibitors (e.g., adalimumab, etanercept) or interleukin-12/23 p40 inhibitors (e.g., ustekinumab) and their biosimilars, were excluded from the pooled analysis. If such agents appeared as comparator arms within otherwise eligible IL-17/23 trials, they were retained only as controls and were not analyzed as IL-17/23 exposures.
Exclusion criteria included non-RCTs, non-human studies, and duplicate publications. The studies prior to 2019 were also excluded. The study selection process is given in Fig. 1.
Fig. 1.
PRISMA flow chart of the study inclusion
Data extraction
Two reviewers (M.B.B and M.A) independently extracted data using a standardized pre-piloted form. The included studies exclusively evaluated IL-17 and IL-23 pathway inhibitors. Trials of other biologic classes, including TNF-α or IL-12/23 p40 inhibitors and their biosimilars, were excluded from the pooled analysis. The data were extracted on study characteristics including Author/year, design, sample size, biologic, comparator (placebo or active control), and follow-up duration, efficacy outcomes including PASI, IGA, sPGA, and flare-free survival and safety outcomes including Incidence of TEAEs, SAEs, discontinuations due to adverse events. The population data was extracted based on trial setting. If trial was global multi central, subgroup data specific to Asian population was extracted. Discrepancies were resolved by a third reviewer (S.J).
Statistical analysis
All statistical analyses were conducted using R (version 4.3.0) with the “meta” and “metafor” packages. Pooled effect estimates were calculated using the Mantel–Haenszel method under a random-effects model with the Hartung–Knapp adjustment for random-effects confidence intervals. Results were expressed as pooled odds ratios (ORs) with 95% confidence intervals (CIs). Between-study heterogeneity was assessed using the I² statistic (values of 25%, 50%, and 75% indicating low, moderate, and high heterogeneity, respectively) and Cochran’s Q test (p < 0.10 representing significant heterogeneity). Subgroup analyses were performed by biologic class (IL-17 vs. IL-23 inhibitors), efficacy endpoint (PASI 75 vs. PASI 90), and study population (Asian vs. mixed-ethnicity cohorts).
Publication bias was assessed visually using funnel plots and statistically via Egger’s regression test. Where asymmetry was identified, the trim-and-fill method was applied to estimate potential missing studies and adjust pooled estimates. All statistical tests were two-sided, and p < 0.05 was considered statistically significant.
Ethical considerations
As this study utilized published data, institutional review board approval and clinical trial was not required. The protocol was registered in PROSPERO (CRD42025102884).
Results
Study characteristics
The final analysis comprised 32 RCTs with a ranged in sample size from 47 to 905 patients. Most studies were phase 3, multicenter RCTs comparing IL-17 or IL-23 inhibitors with placebo or active comparators such as adalimumab, ustekinumab, or secukinumab. A summary of the key study characteristics is provided in Table 1.
Table 1.
Study characteristics of the included studies
| Author (year) | Design | Sample Size | Biologic | Comparator | Efficacy | Safety |
|---|---|---|---|---|---|---|
| Reich et al. (2021) [10] | Multicenter RCT | 567 | Bimekizumab | placebo and Ustekinumab | PASI | TEAEs, STEAEs |
| Blauvelt et al. (2020) [11] | Phase 3 RCT | 507 | Risankizumab | placebo | PASI and sPGA 0/1 | AEs |
| Langley et al. (2023) [12] | Multicenter RCT | 1146 | Secukinumab | PLACEBO | PASI and IGA mod 2011 0/1 | AEs |
| Reich et al. (2019) [13] | RCT | 605 | Risankizumab | Adalimumab | PASI and sPGA 0/1 | AEs, TEAS |
| Cai et al. (2024) [14] | Multicenter RCT | 420 | Xeligekimab | PLACEBO | PASI and PGA 0/1 | AE |
| Yan et al. (2025) [15] | Phase 3 RCT | 690 | Vunakizumab | PLACEBO | PASI and sPGA 0 | AEs |
| Youn et al. (2024) [16] | Phase 3 RCT | 47 | Bimekizumab | PLACEBO | PASI, IGA 0/1 | TEAEs over |
| Chen et al. (2024) [17] | Phase 3 RCT | 220 | Tildrakizumab | PLACEBO | PASI, PGA | TEAEs |
| Yamanaka et al. (2023) [18] | Phase 3 RCT | 17 | Risankizumab | PASI | AEs | |
| Yu et al. (2022) [19] | Phase 3 RCT | 367 | SCT630 | Adalimumab | PASI | TEAES |
| He et al. (2023) [20] | Phase 1 RCT | 46 | IBI112 | PLACEBO | PASI | ADE |
| Li et al. (2024) [21] | RCT | 85 | QX004N | PASI | ||
| Zheng et al. (2023) [22] | Phase 1 RCT | 41 | Ixekizumab | PASI | ||
| Imafuku et al. (2021) [23] | RCT | 120 | Tildrakizumab | PLACEBO | PASI | EAIRS |
| Okubo et al. (2019) [24] | RCT | 52 | Secukinumab | PASI | AES | |
| Liu et al. (2020) [25] | Multicenter RCT | 466 | rhTNFR-Fc plus methotrexate | PLACEBO | PASI, sPGA | AEs |
| Jiang et al. (2025) [26] | RCT | 120 | IL-17 and IL-23 | PASI | ||
| Lin Cai et al. (2025) [27] | RCT | 143 | JS005 | placebo | PASI 75 | |
| Igarashi et al. (2021) [28] | Multinational RCT | 158 | Tildrakizumab | placebo | PASI, PGA | ADEs |
| Ohtsuki et al. (2019) [29] | RCT | 171 | Risankizumab | placebo | PASI, sPGA | AEs |
| Seo et al. (2021) [30] | Phase 3 RCT | 62 | Brodalumab | PLACEBO | PASI, sPGA | TEAES, SAE |
| ugustin et al. (2020) [31] | Phase 3 RCT | 997 | Risankizumab | Ustekinumab AND PLACEBO | PSS | NA |
| Reich et al. (2019) [32] | Phase 3 RCT | 1829 | Guselkumab | PLACEBO AND adalimumab | PASI, IGA | safety evaluated through week 28. |
| Feldman et al. (2024) [33] | Phase 3 RCT | 503 | SB17 | ustekinumab | PASI | TEAES, SAE, AES |
| Man et al. (2025) [34] | Phase 3 RCT | 556 | BAT2206 | ustekinumab | PASI | AEs, TEAS |
| Yao et al., (2024) [35] | RCT | 130 | CMAB015 | SECUKINUMAB | AEs | |
| Gordon et al., (2021) [36] | Phase 3 study | 435 | Bimekizumab | PLACEBO | PASI, IGA | TEAES |
| Papp et al., (2023) [37] | Phase 3 RCT | 1738 | Mirikizumab | secukinumab | PASI, sPGA | |
| Asahina et al. (2023) [38] | Phase 3 RCT | 108 | Bimekizumab | ustekinumab and PLACEBO | PASI and IGA | TEAES |
| Reich et al. (2019) [39] | RCT | 205 | Mirikizumab | PLACEBO | PASI | AEs and TEAES |
| Reich et al. (2019) [40] | RCT | 605 | Risankizumab | Adalimumab | PASI, sPGA | AEs |
Psoriasis Area and Severity Index [PASI], Investigator’s Global Assessment [IGA], static Physician Global Assessment [sPGA]) and safety outcomes (treatment-emergent adverse events [TEAEs], serious adverse events [SAEs].
Efficacy outcomes
The overall pooled effect estimate was log OR = 1.25 [95% CI 0.98–1.52]; p < 0.0001, confirming robust therapeutic efficacy, as shown in Fig. 2. Heterogeneity was substantial (I² = 90.4%, τ² = 0.2416), reflecting expected variations in trial design and populations.
Fig. 2.
Overall pooled efficacy of IL-17 and IL-23 inhibitors
Subgroup analysis by biologic class demonstrated that IL-17 inhibitors achieved a pooled log OR = 1.43 [1.09–1.77]; I² = 90.5%, while IL-23 inhibitors yielded log OR = 1.04 [0.60–1.49]; I² = 88% (Figure S2). The test for subgroup differences was not statistically significant (χ² = 1.80, p = 0.18), indicating that both cytokine-targeted pathways deliver similar clinical benefits.
The pooled effect for PASI 75 was log OR = 1.36 [0.97–1.75]; I² = 64.5%, and for PASI 90 was log OR = 1.23 [0.87–1.58]; I² = 92.4%, with no significant difference between endpoints (p = 0.62) (Figure S3). This consistency across clinical cut-offs supports the robustness of biologic efficacy irrespective of response definition.
Population-based subgroup analysis revealed stronger and more homogeneous responses in trials enrolling Asian-only participants (log OR = 1.40 [1.17–1.62]; I² = 64.3%) compared with mixed-ethnicity studies (log OR = 1.08 [0.51–1.65]; I² = 96%), with a statistically significant difference between subgroups (p < 0.001) as shown in Fig. 3.
Fig. 3.
Subgroup analysis by population type
Safety outcome
Across the included RCTs, IL-17 and IL-23 inhibitors demonstrated favorable and consistent safety profiles, with most adverse events being mild to moderate and comparable to placebo or active comparators (Table 2). Reported treatment-emergent adverse events (TEAEs) ranged from 50% to 85% for IL-17 inhibitors and 64% to 92% for IL-23 inhibitors, mainly involving nasopharyngitis, injection-site reactions, or upper respiratory infections. Serious adverse events (SAEs) were infrequent (< 5%), and treatment discontinuations due to AEs were rare. No treatment-related deaths or unexpected immune-mediated toxicities were observed, and long-term data confirmed sustained tolerability with no emerging safety signals.
Table 2.
Summary of the findings on efficacy and safety
| Author (Year) | Biologic | Efficacy Outcome | Efficacy Measure | 95% CI | P-value | Safety Outcome | Safety Measure | Safety CI | Safety P-value |
|---|---|---|---|---|---|---|---|---|---|
| Morita et al. (2023) [47] | Bimekizumab | Flare prevention | OR = 0.16 | 0.05–0.54 | 0.0005 | — | — | — | — |
| Reich et al. (2021) [10] | Bimekizumab | PASI 90 @ Wk52 | OR = 4.47 | 3.74–5.36 | < 0.0001 | AE incidence | 85.20% | — | — |
| Asahina et al. (2023) [38] | Bimekizumab | PASI 90 | RR = 1.69 | — | Not stated | — | — | — | — |
| Asahina et al. (2023) [38] | Bimekizumab | IGA 0/1 | RR = 14.4 | — | Not stated | Low discontinuation due to AE | — | — | — |
| Gordon et al. (2024) [36] | Bimekizumab | PASI 90 @ Wk16 | — | — | < 0.0001 | TEAEs | 61% | — | — |
| Youn et al. (2024) [16] | Bimekizumab | PASI 90 | — | — | — | TEAEs | 50% overall | — | — |
| Lin Cai et al. (2025) [27] | Bimekizumab | PASI 75 @ Wk12 | — | — | < 0.0001 | TEAEs | ~NS | — | NS |
| Cai et al. (2024) [14] | Xeligekimab | PASI 75 @ Wk12 | — | — | < 0.0001 | — | — | — | — |
| Yan et al. (2025) [15] | Vunakizumab | Flare-free survival | HR = 0.16 | 0.05–0.54 | 0.0005 | SAEs | <1% | — | — |
| Blauvelt et al. (2020) [11] | Risankizumab | PASI 90 @ Year 5 | OR = 36.6 | — | < 0.0001 | AEs (nasopharyngitis) | 33.70% | — | — |
| Blauvelt et al. (2020) [11] | Risankizumab | sPGA 0/1 @ Year 5 | OR = 19.76 | — | < 0.0001 | Serious AEs | 5.01 per 100 PY | — | — |
| Reich et al. (2019) [13] | Risankizumab | PASI 90 (Asian) | OR = 17.5 | 16.6–30.1 | < 0.0001 | TEAEs | Comparable across race | — | Not reported |
| Reich et al. (2019) [13] | Risankizumab | sPGA 0/1 | OR = 16.8 | — | < 0.0001 | — | — | — | — |
| Reich et al. (2019) [13] | Risankizumab | PASI 90 vs. ADA | OR = 1.1 | 0.8–1.4 | NS | TEAEs | 92.8% vs. 90.4% | — | NS |
| Okubo et al. (2019) [24] | Risankizumab | PASI 90 | — | — | Not stated | AEs | 88.20% | — | — |
| Papp et al. (2023) [37] | Mirikizumab | sPGA 0/1 @ Wk16 | OR = 77 | — | < 0.0001 | MACE | Rare | — | — |
| Papp et al. (2023) [37] | Mirikizumab | PASI 90 @ Wk16 | OR = 71.5 | — | < 0.0001 | TEAEs | Comparable between groups | — | Not reported |
| Reich et al. (2019) [13] | Mirikizumab | PASI 90 @ Wk16 | OR = 17.5 | — | < 0.0001 | Injection site AE | 3.2% Asian | — | — |
| Reich et al. (2019) [13] | Mirikizumab | sPGA 0/1 | OR = 16.6 | — | < 0.0001 | — | — | — | — |
| Chen et al. (2024) [17] | Tildrakizumab | PASI 75 @ Wk12 | — | — | < 0.0001 | TEAEs | 64–71% | — | — |
| Igarashi [28] et al. (2021) | Tildrakizumab | PASI 75 @ Wk12 | OR = — | — | < 0.0001 | Low AE-related discontinuation | — | — | — |
| Imafuku et al. (2021) [23] | Tildrakizumab | PASI 75 @ Wk52 | OR = — | — | Not stated | SAEs | infections | — | — |
| Seo et al. (2021) [30] | Brodalumab | PASI 75 @ Wk12 | OR = — | — | < 0.0001 | TEAEs | 52.5% vs. 50% | — | NS |
| Seo et al. (2021)[30] | Brodalumab | sPGA 0/1 @ Wk12 | OR = — | — | < 0.0001 | — | — | — | — |
| Reich et al. (2019) [13] | Guselkumab | PASI 90 (Asian) | OR = 17.5 | — | < 0.0001 | TEAEs | — | — | |
| Reich et al. (2019) [13] | Guselkumab | IGA 0/1 (Wk24) | — | — | ≤ 0.004 | TEAEs | 25.4% (Asian) | — | — |
| Reich et al. (2019) [13] | Guselkumab | PASI 100 (Wk24) | — | — | Not stated | TEAEs | 23.4% (Asian) | — | — |
| Cai et al. (2022) [47] | Guselkumab | PGA 0/1 @ Wk8 | OR = 0.5 | 0.3–0.9 | 0.03 | TEAEs | 89.3% vs. 94.6% | — | NS |
| Cai et al. (2022) [47] | Guselkumab | PASI 75 | OR = 1.1 | — | NS | — | — | — | — |
| Cai et al. (2022) [47] | SCT630 | PASI 75 | OR = — | — | NS | TEAEs |
HLX03: 89.3% ADA: 94.6% |
— | — |
| Li et al. (2024) [21] | QX004N | Early PASI 90 | — | — | < 0.0001 | AEs | — | — | — |
| Lin Cai et al. (2025) [27] | JS005 | PASI 75 @ Wk12 | — | — | < 0.0001 | TEAEs | Equal | — | NS |
| Liu et al. (2020) [25] | rhTNFR-Fc | PASI 75 | OR = — | — | — | AEs | Upper RTIs common | — | — |
| Zheng et al. (2023) [22] | Secukinumab | PASI 90 (Q2W) | — | — | — | — | — | — | — |
| Zheng et al. (2023) [22] | Secukinumab | PASI 90 (Q4W) | — | — | — | — | — | — | — |
| Reich et al. (2019) [13] | Secukinumab | DLQI 0/1 (Wk24) | — | — | Not stated | Injection Site AE | 3.2% (Asian) | — | |
| Reich et al. (2019) [13] | Secukinumab | IGA 0/1 (Wk24) | — | — | 0.004 | — | — | — | — |
| Reich et al. (2019) [13] | Secukinumab | PASI 100 (Wk24) | — | — | Not stated | — | — | — | — |
| Reich et al. (2019) [13] | Secukinumab | TEAEs | — | — | Not reported | Injection Site AE | Comparable | — | — |
| Reich et al. (2019) [13] | Secukinumab | DLQI 0/1 | — | — | Not stated | — | — | — | — |
| Okubo et al. (2019) [24] | Secukinumab | GPP/EP response | — | — | — | AEs | 88.20% | — | — |
| Yao et al. (2024) [35] | BAT2206 | TEAE incidence | — | — | Not reported | TEAEs | 49.1% vs. 46.8% | — | — |
| Yao et al. (2024) [35] | BAT2206 | Treatment-related TEAEs | — | — | Not reported | — | 16.2% vs. 18.0% | — | — |
| Feldman et al. (2024) [33] | CMAB015 | ONLY SAFETY | — | — | — | TEAEs | Similar to secukinumab | — | — |
| Papp et al. (2023) [37] | Mirikizumab | TEAEs (Wk0–52) | — | — | Not reported | — | — | — | — |
| Papp et al. (2023) [37] | Mirikizumab | MACE | — | — | Not reported | — | 4 cases vs. 0 | — | — |
| Reich et al. (2019) [13] | Mirikizumab | PASI 90 @ Wk16 | OR = 17.5 | — | < 0.0001 | Injection Site AE | 3.2% (Asian) | — | — |
| Reich et al. (2019) [13] | Mirikizumab | sPGA 0/1 @ Wk16 | OR = 16.6 | — | < 0.0001 | — | — | — | — |
| Reich et al. (2019) [13] | Mirikizumab | PASI 90 @ Wk16 | OR = 17.5 | — | < 0.0001 | TEAEs | Comparable between groups | — | — |
| Reich et al. (2019) [13] | Mirikizumab | sPGA 0/1 | OR = 16.8 | — | < 0.0001 | — | — | — | — |
| Reich et al. (2019) [13] | Mirikizumab | PASI 90 vs. ADA | OR = 1.1 | — | NS | TEAEs | 92.8% vs. 90.4% | — | NS |
| Reich et al. (2019) [13] | Mirikizumab | PGA 0/1 @ Wk8 | OR = 0.5 | 0.3–0.9 | 0.03 | — | — | — | — |
Psoriasis Area and Severity Index [PASI], Investigator’s Global Assessment [IGA], static Physician Global Assessment [sPGA]) and safety outcomes (treatment-emergent adverse events [TEAEs], serious adverse events [SAEs].
Discussion
This systematic review and meta-analysis synthesize randomized controlled trials evaluating IL-17 and IL-23 inhibitors specifically in Asian adults with moderate to severe plaque psoriasis. Across Asian-only and mixed-Asian RCTs, both biologic classes demonstrated robust and clinically meaningful improvements in PASI 75 and PASI 90 outcomes. Although some individual trials reported numerically higher PASI 90 responses with IL-23 inhibitors [3, 4, 17], several Asian RCTs have shown equally strong responses with IL-17 inhibitors [16, 38]. Consistent with these findings, our pooled and subgroup analyses did not identify statistically significant differences between IL-17 and IL-23 inhibitors, indicating that both classes are effective treatment options in Asian populations without evidence of class superiority.
Several Asian-specific factors may influence therapeutic variability. Genetic predisposition—particularly the higher prevalence of the HLA-Cw6 allele in East and Southeast Asian populations—has been associated with differential treatment responsiveness. Evidence suggests that HLA-Cw6–positive patients may experience enhanced responses to IL-17 pathway inhibition [7], while associations with IL-23 inhibitors remain inconsistent. Recent Asian pharmacogenetic analyses further emphasize the importance of genotype response relationships [16,]. Incorporating pharmacogenetic stratification into future Asian RCTs may help clarify these patterns.
Anthropometric variation may also contribute to treatment heterogeneity among Asian patients with psoriasis. Asian populations generally present with lower BMI and leaner body composition compared with Western cohorts, which may influence drug exposure under fixed-dose IL-17 and IL-23 regimens. Recent real-world studies from China and Korea have demonstrated that BMI and metabolic parameters are significantly associated with psoriasis severity and biologic treatment response, with higher BMI linked to reduced PASI improvement and delayed therapeutic onset [41]– [42]. These findings are further supported by a large Asian cohort showing that BMI, basal metabolic rate, and body surface area independently affect treatment outcomes [43]. Collectively, these studies highlight the importance of considering body composition when interpreting clinical response to biologic therapy in Asian populations.
Environmental and microbiome-related factors may also modulate therapeutic responses to IL-17 and IL-23 inhibitors. Asian populations exhibit distinct gut and skin microbiome compositions shaped by dietary patterns, hygiene practices, urbanization, and environmental exposures. These microbial signatures can influence IL-23/IL-17–mediated inflammatory pathways, including Th17 differentiation, cytokine activation, and keratinocyte signaling [9]. Emerging evidence from Asian microbiome studies shows that alterations in microbial diversity and specific microbial particularly reduced Cutibacterium and increased Staphylococcus or Streptococcus species may contribute to psoriasis severity and variable immunologic responses to biologic therapy [44]– [45]. Incorporating microbiome profiling into future Asian psoriasis trials could help clarify these mechanisms and identify microbial biomarkers predictive of biologic response.
Safety outcomes across included RCTs were favorable, with low rates of serious adverse events. IL-17 inhibitors were associated with the expected class-specific signal of mild mucocutaneous candidiasis, consistent with global findings. Although tuberculosis prevalence varies across Asia, tuberculosis-related events were rarely reported, reflecting stringent pre-treatment screening protocols. Short-term safety of IL-17 and IL-23 inhibitors appears acceptable in Asian cohorts, although long-term data remain limited.
Subgroup analyses revealed potential differences between Japanese and Chinese patients, although these observations were based on modest sample sizes and may reflect genetic, metabolic, and dietary diversity across Asian subpopulations. Larger, regionally representative trials are needed to confirm these preliminary observations.
Evidence on biosimilars was limited but suggested short-term efficacy comparable to originators in Asian patients. However, long-term immunogenicity data are scarce. Given the cost constraints in many Asian healthcare systems, further evaluation of IL-17 and IL-23 biosimilars remains a high research priority [16]– [17].
Study limitations
This meta-analysis has several important limitations. First, heterogeneity across trials was notable, reflecting differences in study design, comparator arms, dosing schedules, and follow-up durations. Second, Asian-specific subgroup data were not uniformly available across all global RCTs, and several analyses relied on trial-site–based population identification rather than genetically confirmed ethnicity. Third, the number of Japan- and China-specific RCTs remained modest, limiting the precision of within Asia subgroup comparisons. Fourth, long-term safety data were sparse, restricting conclusions regarding rare adverse events and long-term immunogenicity. Fifth, microbiome and pharmacogenetic interpretations remain exploratory because such data were not available in the included trials. Despite these limitations, this review provides one of the most comprehensive syntheses to date focusing exclusively on IL-17 and IL-23 inhibitor outcomes in Asian psoriasis populations.
Conclusion
Both IL-17 and IL-23 inhibitors demonstrated strong and comparable efficacy and acceptable short-term safety in Asian adults with moderate to severe plaque psoriasis. Ethnic-specific factors such as HLA-Cw6 prevalence, BMI patterns, and microbiome differences may influence treatment response and should be considered in future research. Larger, region-specific trials and long-term real-world studies are needed to refine biologic selection and support more personalized psoriasis management in Asian populations.
Supplementary Information
Acknowledgements
AcknowledgementsWe thank the librarians at Zhongnan Hospital of Wuhan University for their assistance in refining the database search strategy.
Clinical trial number
not applicable.
Abbreviations
- IL
Interleukin
- IL-17/23
Interleukin 17/23
- PASI
Psoriasis Area and Severity Index
- OR
Odds Ratio
- CI
Confidence Interval
- BMI
Body Mass Index
- RCT
Randomized Controlled Trial
- TEAE
Treatment-Emergent Adverse Events
- SAE
Serious Adverse Events
- PGA
Physician Global Assessment
Authors’ contributions
- **Mohammad Alzghool** : Primary author, responsible for conducting the systematic review, data analysis, and drafting the manuscript.- **Song Jiquan** : Primary corresponding author, responsible for the study’s design, supervision, and critical review of the manuscript.- **Musa Bin Bashir** : Corresponding author, responsible for manuscript submission, final manuscript approval, and overall coordination of the submission process.
Funding
This research received no specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Data availability
All data generated or analyzed during this study are included in this published article and its supplementary files. The search strategy and extracted data are provided in Supplementary File S1.
Declarations
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Competing interests
The authors declare no competing interests.
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Contributor Information
Song Jiquan, Email: Songjiq@126.com.
Musa Bin Bashir, Email: dr.usmle2021@gmail.com.
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated or analyzed during this study are included in this published article and its supplementary files. The search strategy and extracted data are provided in Supplementary File S1.



