AB0894 Efficacy and Safety of Guselkumab in Biologic-Naïve Patients With Active Axial Psoriatic Arthritis: Study Design of a Phase 4, Randomized, Double-Blind, Placebo-Controlled Trial

Background

Established criteria for classifying axial psoriatic arthritis (PsA) are lacking, and assessments of disease activity often rely on measures developed for ankylosing spondylitis (AS). There is an unmet need to systematically identify and measure efficacy of treatments for axial PsA patients (pts). Guselkumab (GUS), a selective interleukin (IL)-23p19 inhibitor, was efficacious in improving signs and symptoms of active PsA in 2 phase 3, randomized, placebo (PBO)-controlled studies: DISCOVER-1 and DISCOVER-2. In a post-hoc pooled analysis of DISCOVER-1&2 pts with investigator-confirmed sacroiliitis, GUS-treated pts had greater improvements in axial symptoms compared with PBO.1 Imaging in DISCOVER-1&2 was restricted to the sacroiliac (SI) joints, occurring prior to/at screening as confirmed by the investigator, and locally read.

Objectives

To design a new, dedicated study to evaluate the effects of GUS on axial PsA prospectively.

Methods

Cumulative evidence from DISCOVER-1&2, including exposure–response relationship, covariate adjustment for modest baseline imbalances across treatment groups, subgroup analyses, and comparisons within and across these studies, was considered in designing a new trial. Data from the pivotal registrational studies suggest similar efficacy with GUS every-4-weeks (Q4W) and Q8W regimens in treating PsA signs and symptoms, including symptoms of axial involvement. Power calculations were based on mean changes in Bath AS Disease Activity Index (BASDAI) scores in DISCOVER-1&2.

Results

The phase 4, randomized, PBO-controlled STAR study is specifically designed to prospectively assess efficacy outcomes in PsA pts with magnetic resonance imaging (MRI)-confirmed axial inflammation. Based on observed mean (SD) changes from baseline in BASDAI score from DISCOVER-1&2 (Table 1), 405 pts, randomized (1:1:1) to GUS Q4W, GUS at W0, W4, then Q8W, or PBO →GUS Q8W at W24, are planned for enrollment (Figure 1). STAR eligibility criteria include PsA ≥6 months and active disease (≥3 swollen & ≥3 tender joints, C-reactive protein [CRP] ≥0.3 mg/dL) despite prior non-biologic disease-modifying antirheumatic drugs, apremilast, and/or non-steroidal anti-inflammatory drugs. Pts will be naïve to biologics and Janus kinase inhibitors and have BASDAI ≥4, spinal pain score (visual analog scale [VAS]) ≥4, and screening MRI-confirmed axial disease (positive spine and/or SI joints defined as centrally read Spondyloarthritis Research Consortium of Canada [SPARCC] score ≥3). Follow-up MRIs of spine and SI joints will be obtained at W0, W24, and W52 and also centrally read, with readers blinded to treatment group and timepoint. Spinal/SI joint inflammation will be scored using the SPARCC method, with the former also assessed using the CAN-DEN method. The primary endpoint is mean change in BASDAI at W24; controlled (hierarchical) secondary endpoints, all at W24, include AS Disease Activity Score (ASDAS-CRP), Disease Activity Index for PsA (DAPSA), ≥40% improvement in Assessment in AS criteria (ASAS40), and mean changes in spine/SI joint SPARCC scores.

Table 1.

Power calculations for the primary endpoint in the Phase 4 STAR study.

Historical trial data*Observed mean (SD) change in BASDAI from W0-24Effect sizePower(N=135; α=0.05)**PBO-1.28 (2.24)GUS 100 mg Q4W-2.51 (2.00)1.23>99%GUS 100 mg Q8W-2.61 (2.47)1.33>99%

* From the pooled DISCOVER-1&2 trials

**Power calculations based on N=135 per study group (1:1:1 randomization) and 2-sided significance of 0.05 using a 2-sample T-test assuming equal variances

BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; GUS, guselkumab; PBO, placebo; Q4W, every 4 weeks; Q8W, every 8 weeks; SD, standard deviation; W, week

Conclusion

The phase 4 STAR study will allow for an in-depth, prospective evaluation of the effects of selectively inhibiting the IL-23p19 subunit with GUS in pts with MRI-confirmed axial PsA.

References

[1]Mease, et al. Lancet Rheum. 2021;3(10):e715-e723.

Disclosure of Interests

Dafna D Gladman Consultant of: AbbVie, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Abbvie, Amgen, BMS, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Philip J Mease Speakers bureau: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Consultant of: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Grant/research support from: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Paul Bird Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, and UCB, Consultant of: Eli Lilly, Gilead, Janssen, Novartis, and Pfizer, Enrique Soriano Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Janssen, Novartis, and Roche, Grant/research support from: AbbVie, Janssen, Novartis, Pfizer, Roche, and UCB, Soumya D Chakravarty Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC, May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Stephen Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Sean Quinn Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC, Cinty Gong Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC, Evan Leibowitz Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC, Lai-Shan Tam Consultant of: Janssen, Pfizer, Sanofi, AbbVie, Boehringer Ingelheim, and Lilly, Grant/research support from: Amgen, Boehringer Ingelheim, Janssen, GSK, Novartis, and Pfizer, Philip Helliwell Speakers bureau: AbbVie, Janssen, and Novartis, Consultant of: Galapagos and Janssen, Grant/research support from: AbbVie, Janssen, and Pfizer, Arthur Kavanaugh Consultant of: Abbvie, Amgen, Bristol Myers Squibb, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, and UCB, Atul Deodhar Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Glaxo Smith & Kline, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, Glaxo Smith & Kline, Novartis, Pfizer, and UCB, Mikkel Østergaard Speakers bureau: AbbVie, Boehringer-Ingelheim, Bristol Myers Squibb, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Consultant of: AbbVie, Boehringer-Ingelheim, Bristol Myers Squibb, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Grant/research support from: AbbVie, Bristol Myers Squibb, Celgene, and Novartis, Xenofon Baraliakos Speakers bureau: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB

Necroptosis-related lncRNA biomarkers for colon cancer prognosis and the associations with the immune landscape

e15525

Background: Necroptosis is a regulated caspases-independent cell death involved in colon cancer development and antitumor activity. lncRNAs are widely considered as biomarkers in various diseases. In this study, we identified prognosis biomarkers using necroptosis-related lncRNAs, and predict immunotherapeutic responses for colon cancer. Methods: A total of 453 colon cancer (CRC) patients (480 normal and 41 tumor samples) were enrolled in this study. The RNA expression dataset were obtained from The Cancer Genome Atlas (TCGA-COAD). They were randomly grouped as training set and validation set(7:3 ratio). Necroptosis-related lncRNAs were identified using Pearson’s correlation analysis with 67 necroptosis-related genes previously reported. Stepwise Cox regression and LASSO algorithm were performed to construct the prognostic risk score model. The overall survival (OS) difference between the high- and low-risk groups(cutoff using median risk score) was compared using Kaplan-Meier statistics. Furthermore, we evaluated the associations between the identified lncRNAs and the immune-related phenotypes including tumor micro-environment (TME) scores calculated by ESTIMATE, immune cell infiltration estimated by CIBERSORT, chemotherapeutics sensitivity predicted by pRRophetic and immune checkpoint expression,etc. Results: A total of 1926 necroptosis-related lncRNAs were identified and four lncRNAs (LINC02753, AC073283, AC010973, AP003555) were found to be correlated with 10 differential expressed necroptosis-related genes. The identified four lncRNAs were used to construct the prognostic model. The identified biomarkers was found to significantly correlate with worse prognosis in TCGA cohort (Train set: HR = 4.65, 95%CI = 2.42-8.93, P < 0.001; Validation set: HR = 3.06, 95%CI = 1.32-7.12, P = 0.006; Whole set: HR = 4.04, 95%CI = 2.41-6.76, P < 0.001) and was found to be independent to clinicopathological parameters. In addition, the lower TME scores suggested the lower infiltration of non-tumor cells in high-risk group and eight drugs were predicted to be more effective in high-risk group (i.e., PAC-1, AS601245). Further immune-related analysis revealed that the infiltrating immune cells including B cells, CD4 T cells, resting NK cells, M1 macrophages, monocytes, were all significantly different between the two groups. Moreover, TNF superfamily members (i.e., TNFSF14/15/25) were found to be substantially increased in high-risk group, which was considered as a type of important immune checkpoint molecule and participates in the initiation and regulation of necroptosis. Conclusions: The identified 4-lncRNA signature based on necroptosis showed potential prognosis value in CRC patients. The results can also help to guide immunotherapy and clinical research with TNFSF inhibitors for colon cancer patients with further experimental and clinical validation.

POS1037 EFFECT OF GUSELKUMAB, A SELECTIVE IL-23p19 INHIBITOR, ON AXIAL-RELATED ENDPOINTS IN PATIENTS WITH ACTIVE PsA: RESULTS FROM A PHASE 3, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED STUDY THROUGH 2 YEARS

Background

Guselkumab (GUS), a selective IL-23p19 inhibitor, showed greater mean improvements in Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) scores vs placebo (PBO) at Week (W) 24 in patients (pts) with active PsA and investigator-confirmed sacroiliitis in pooled post hoc analyses of data from phase 3 DISCOVER (D)-1&2 trials. Improvements in symptoms of axial involvement were maintained through 1 year.1

Objectives

To assess maintenance of GUS effect on symptoms of axial involvement in biologic-naïve PsA pts with investigator-confirmed sacroiliitis through 2 years of D-2.

Methods

In D-2, 739 bio-naïve pts with active PsA (≥5 swollen + ≥5 tender joints, CRP ≥0.6 mg/dL despite standard therapies) were randomized 1:1:1 to GUS 100 mg every 4W (Q4W; n=245), GUS 100 mg at W0, W4, then Q8W (n=248), or PBO (n=246) with PBO→GUS 100 mg Q4W at W24. Pts with investigator-identified axial symptoms and sacroiliitis (prior X-ray or MRI, or pelvic X-ray at screening) were evaluated. Efficacy was assessed by changes in BASDAI, modified BASDAI (mBASDAI, excluding Q3 [peripheral joint pain]), and BASDAI Q2 (Spinal Pain) scores, and proportions of pts achieving BASDAI 50, Spinal Pain score ≤2, and AS Disease Activity Score (ASDAS) responses through W100. Through W24, pts who met treatment failure criteria or had missing data were considered nonresponders. After W24, missing data were imputed as nonresponse for binary endpoints or no change from baseline for continuous endpoints (nonresponder imputation [NRI]). Axial-related outcomes were also summarized by HLA-B27 status (+/-).

Results

246 pts had investigator-confirmed sacroiliitis. Baseline characteristics were similar across treatment groups (62% male; mean age 44.4 years; mean BASDAI scores 6.5-6.6). At W24, LS mean/mean changes in BASDAI (-2.4/-2.6) and ASDAS (-1.3/-1.5) scores were greater in GUS- vs PBO-treated pts. Improvements were maintained through W100 in GUS-treated pts: BASDAI, -3.1; Spinal Pain, -3.1; mBASDAI, -3.1; ASDAS, -1.7. Response patterns were similar for BASDAI 50 response rates in GUS-treated pts (W24 38-40%; W100 49-54%). At W24, GUS-treated pts had higher response rates for achievement of ASDAS inactive disease, major improvement, and clinically important improvement vs PBO; response rates (NRI) were maintained, or in some cases further increased, at 2 years. Results were consistent for achievement of ASDAS LDA and Spinal Pain score ≤2 (data not shown). GUS-related improvements in axial symptoms through W100 were generally consistent in HLA-B27+/- pts (data not shown).

Conclusion

In bio-naïve pts with active PsA and investigator-confirmed sacroiliitis, GUS provided durable improvements in axial symptoms through W100, with substantial proportions of pts achieving and maintaining clinically meaningful improvements.

References

[1]Mease PJ et al. Lancet Rheumatol 2021;3:e715-723

Table 1.

Axial symptom assessments through W100 in PsA pts with investigator-confirmed sacroiliitis in DISCOVER-2 (NRI)

GUS Q4W N=82GUS Q8W N=68PBO→GUS Q4W N=96Change in BASDAI scoreW24, LS mean (95% CI)-2.5 (-2.9, -2.0)-2.4 (-3.0, -1.8)-1.2 (-1.7, -0.7)Mean (SD)-2.5 (2.0)-2.6 (2.4)-1.4 (2.4)W52, mean (SD)-2.9 (2.3)-2.7 (2.5)-2.9 (2.6)W100, mean (SD)-3.0 (2.3)-3.1 (2.6)-3.3 (2.6)Change in mBASDAI (excludes Q3) scoreW24, LS mean (95% CI)-2.4 (-2.9, -1.9)-2.4 (-2.9, -1.8)-1.2 (-1.7, -0.7)Mean (SD)-2.5 (2.1)-2.6 (2.5)-1.3 (2.3)W52, mean (SD)-2.7 (2.6)-2.6 (2.5)-2.9 (2.4)W100, mean (SD)-3.3 (2.6)-3.1 (2.6)-3.0 (2.4)Change in Spinal Pain (BASDAI Q2) scoreW24, LS mean (95% CI)-2.2 (-2.7, -1.7)-2.3 (-2.9, -1.7)-0.9 (-1.5, -0.4)Mean (SD)-2.3 (2.6)-2.5 (2.8)-1.1 (2.5)W52, mean (SD)-2.6 (2.7)-2.5 (2.7)-2.5 (2.7)W100, mean (SD)-2.8 (2.7)-3.1 (2.8)-3.0 (2.8)Change in ASDAS scoreW24, LS mean (95% CI)-1.3 (-1.6, -1.1)-1.3 (-1.6, -1.1)-0.6 (-0.8, -0.4)Mean (SD)-1.4 (1.0)-1.5 (1.2)-0.7 (1.1)W52, mean (SD)-1.5 (1.1)-1.5 (1.3)-1.5 (1.3)W100, mean (SD)-1.6 (1.2)-1.7 (1.2)-1.6 (1.2)

Disclosure of Interests

Philip J Mease Speakers bureau: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Consultant of: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Grant/research support from: AbbVie, Aclaris, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Philip Helliwell Speakers bureau: AbbVie, Janssen, and Novartis, Consultant of: Eli Lilly, Janssen, and Pfizer, Dafna D Gladman Consultant of: AbbVie, Amgen, BMS, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Abbvie, Amgen, BMS, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Denis Poddubnyy Consultant of: AbbVie, Eli Lilly, GlaxoSmithKline, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, MDS, Novartis, and Pfizer, Xenofon Baraliakos Speakers bureau: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Biocad, Chugai, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Soumya D Chakravarty Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Xie L Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Stephen Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Désirée van der Heijde Consultant of: AbbVie, Amgen, Astellas, AstraZeneca, Bayer, BMS, Boehringer Ingelheim, Celgene, Cyxone, Daiichi, Eisai, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi, Takeda, and UCB Pharma, Employee of: Imaging Rheumatology BV, Atul Deodhar Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Glaxo Smith & Kline, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, Glaxo Smith & Kline, Novartis, Pfizer, and UCB

POS0249 FIBROBLAST ACTIVATION PROTEIN AS A LINK BETWEEN INFLAMMATION AND VASCULAR REMODELING IN GIANT CELL ARTERITIS

Background

Giant cell arteritis (GCA) can present with serious complications such as blindness, stroke and aortic aneurysm that are related to both inflammation and remodeling of the vessel wall. GCA frequently overlaps with polymyalgia rheumatica (PMR). The pathogenesis of GCA starts in the adventitia where fibroblasts are the major stromal cell population. A preliminary study [1] reported the migration of adventitial fibroblasts to the intima, contributing to intimal hyperplasia in GCA. Fibroblast activation protein (FAP) is a non-classical serine protease which can be present in both a membrane-bound form and a soluble form and has been demonstrated to promote inflammation and fibrosis in coronary artery disease and rheumatoid arthritis [2-3]. We hypothesize that FAP is involved in GCA vasculopathy due to its pro-inflammatory and pro-fibrotic effects.

Objectives

As a first step to unravel the contribution of FAP to the vasculopathy in GCA, we determined FAP plasma levels and FAP protein expression at the site of vascular inflammation in GCA.

Methods

In our prospective cohort of GCA, PMR and healthy elderly (GPS), we measured the plasma FAP levels with ELISA in new-onset, treatment-naïve GCA (N=62), and PMR (N=63) patients and 42 age-matched healthy controls (HC). In addition, we measured the plasma FAP levels at follow-up (3-months, 1-year, 1.5-year and treatment-free remission (TFR)). Temporal artery biopsies (TAB) from treatment-naïve GCA patients (n=9) and non-GCA patients (n=9), aorta samples from GCA-related aneurysm (n=9) and atherosclerosis (n=11) were stained for FAP using immunohistochemistry. Immunofluorescence staining for CD90, CD68, αSMA and FAP was performed to detect FAP expression in fibroblasts, macrophages and vascular smooth muscle cells (VSMC), respectively.

Results

Baseline plasma FAP levels were significantly lower in GCA patients (52.72±2.93 ng/ml) than in PMR patients (66.42±2.86 ng/ml) and HC (80.47±3.38 ng/ml). FAP levels at baseline correlated inversely with C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin (IL)-6, macrophage-associated protein YKL-40 (Chitinase 3-like 1/CHI3L1) levels and monocyte counts. Plasma FAP levels in GCA patients decreased even further at 3 months (37.23±2.10 ng/ml) upon glucocorticoid-induced remission, and gradually increased to the level of HC (76.84±5.43 ng/ml) when patients were in TFR. Increased FAP expression in GCA TAB (adventitia, media, intima) and aorta (media) compared with tissues from non-GCA was documented. FAP was abundantly expressed in fibroblast- and macrophage-rich areas but not in VSMC-rich areas in TAB and aorta of GCA patients.

Conclusion

FAP expression is clearly modulated both in plasma and at the site of vascular inflammation in GCA and may represent a pathogenic link between the inflammatory and remodeling processes in GCA. As such, FAP may have utility as a biomarker and should be further investigated as target for therapeutic intervention.

References

[1]Parreau Simon VN, Regent Alexis, et al. (2019). Adventitial fibroblast, an important player in giant cell arteritis. Annual European Congress of Rheumatology, EULAR 2019: Annals of the Rheumatic Diseases), pp. 434.2-5.

[2]Brokopp CE, Schoenauer R, Richards P, et al. Fibroblast activation protein is induced by inflammation and degrades type I collagen in thin-cap fibroatheromata. Eur Heart J. 2011; 32: 2713-22.

[3]Croft AP, Campos J, Jansen K, et al. Distinct fibroblast subsets drive inflammation and damage in arthritis. Nature. 2019; 570: 246-51.

Acknowledgements

No.

Disclosure of Interests

None declared

Surface-Enhanced Electrochemiluminescence Imaging for Multiplexed Immunoassays of Cancer Markers in Exhaled Breath Condensates

Recently we have demonstrated that the surface plasmon of noble metal nanoparticles can effectively enhance the ECL intensity of Ru(bpy)₃²⁺, and we named this detection principle as surface-enhanced electrochemiluminescence (SEECL-I). However, SEECL based on photomultiplier tube (PMT) detection can only detect one target at a time, which is not suitable for multiple targets detection. In this work, we combined our previous developed SEECL with a bioimaging device to develop a novel multiplexed immunassay for simultaneous and fast analysis of cancer markers. A core-shell nanocomposite consisted of gold-silicon dioxide nanoparticles doped with Ru(bpy)₃²⁺(Au@SiO₂-Ru) with strong ECL emission was employed as ECL label due to the localized surface plasmon resonance (LSPR) of AuNPs, which can significantly enhance the ECL emission of Ru(bpy₎₃²⁺. The ECL signals from the 4 × 4 electrode arrays were collected using the constant potential method (current-time curve method) imaging with a sCOMS camera. As a proof-of-concept application, we demonstrated the use of the proposed SEECL-I for simultaneous detection of carcinoembryonic antigen (CEA), neuron specific enolase (NSE), and squamous cell carcinoma antigen (SCC) in exhaled breath condensates (EBCs) with low detection limit (LOD) of 0.17, 0.33, and 0.33 pg/mL (S/N = 3), respectively. The results demonstrated that the proposed SEECL-I strategy can provide a high sensitivity, fast analysis, and high-throughput platform for clinical diagnosis of cancer markers in EBCs.

A three-methylation-driven genes based deep learning model for tuberculosis diagnosis in people with and without human immunodeficiency virus co-infection

Improved diagnostic tests for tuberculosis (TB) among people living with human immunodeficiency virus (HIV) are urgently required. We hypothesized that methylation-driven genes of host blood could be used to diagnosis patients co-infected with HIV/TB. In this study, we identified three methylation-driven genes (MDGs) between patients with HIV mono-infection and with HIV/TB co-infection using R package MethylMix. Then, we developed a deep learning model using three MDGs screened which distinguished HIV/TB co-infection from HIV mono-infection with a sensitivity of 95.2% and a specificity of 88.3%. On the two independent datasets, the sensitivity was 80% to 92.8%, respectively; the specificity was 72.7% to 87.5%, respectively. Besides, our deep learning model also accurately classified TB from healthy controls (75.0-100% sensitivity, 91.3-98.1% specificity) and other respiratory disorders (ORDs) (72.7-75.0% sensitivity, 70.9-72.7% specificity). This study will contribute to improve molecular diagnosis for HIV/TB co-infection. This article is protected by copyright. All rights reserved.

[Analysis of clinical phenotype and genotype of Chinese children with disorders of sex development]

Objective: To explore the heterogeneity and correlation of clinical phenotypes and genotypes in children with disorders of sex development (DSD). Methods: A retrospective study of 1 235 patients with clinically proposed DSD in 36 pediatric medical institutions across the country from January 2017 to May 2021. After capturing 277 DSD-related candidate genes, second-generation sequencing was performed to analyzed the heterogeneity and correlation combined with clinical phenotypes. Results: Among 1 235 children with clinically proposed DSD, 980 were males and 255 were females of social gender at the time of initial diagnosis with the age ranged from 1 day of age to 17.92 years. A total of 443 children with pathogenic variants were detected through molecular genetic studies, with a positive detection rate of 35.9%. The most common clinical phenotypes were micropenis (455 cases), hypospadias (321 cases), and cryptorchidism (172 cases) and common mutations detected were in SRD5A2 gene (80 cases), AR gene (53 cases) and CYP21A2 gene (44 cases). Among them, the SRD5A2 mutation is the most common in children with simple micropenis and simple hypospadias, while the AMH mutation is the most common in children with simple cryptorchidism. Conclusions: The SRD5A2 mutation is the most common genetic variant in Chinese children with DSD, and micropenis, cryptorchidism, and hypospadias are the most common clinical phenotypes. Molecular diagnosis can provide clues about the biological basis of DSD, and can also guide clinicians to perform specific clinical examinations. Target sequence capture probes and next-generation sequencing technology can provide effective and economical genetic diagnosis for children with DSD.

An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation

Aiming at the medical images segmentation with low-recognition and high background noise, a deep convolution neural network image segmentation model based on fuzzy attention mechanism is proposed, which is called FA-SegNet. It takes SegNet as the basic framework. In the down-sampling module for image feature extraction, a fuzzy channel-attention module is added to strengthen the discrimination of different target regions. In the up-sampling module for image size restoration and multi-scale feature fusion, a fuzzy spatial-attention module is added to reduce the loss of image details and expand the receptive field. In this paper, fuzzy cognition is introduced into the feature fusion of CNNs. Based on the attention mechanism, fuzzy membership is used to re-calibrate the importance of the pixel value in local regions. It can strengthen the distinguishing ability of image features, and the fusion ability of the contextual information, which improves the segmentation accuracy of the target regions. Taking MRI segmentation as an experimental example, multiple targets such as the left ventricles, right ventricles, and left ventricular myocardium are selected as the segmentation targets. The pixels accuracy is 92.47%, the mean intersection to union is 86.18%, and the Dice coefficient is 92.44%, which are improved compared with other methods. It verifies the accuracy and applicability of the proposed method for the medical images segmentation, especially the targets with low-recognition and serious occlusion.

Effects of Different Hypothermia on the Results of Cardiopulmonary Resuscitation in a Cardiac Arrest Rat Model

Objective

To investigate the optimal temperature of hypothermia treatment in rats with cardiac arrest caused by ventricular fibrillation (VF) after the return of spontaneous circulation (ROSC).

Methods

A total of forty-eight male Sprague-Dawley rats were induced by VF through the guidewire with a maximum of 5 mA current and untreated for 8 min. Cardiopulmonary resuscitation (CPR) was performed for 8 min followed by defibrillation (DF). Resuscitated rats were then randomized into the normothermia (37°C) group, milder (35°C) group, mild (33°C) group, or moderate (28°C) group. Hypothermia was immediately induced with surface cooling. The target temperature was maintained for 4 h before rewarming to 37 ± 0.5°C. Moreover, at the end of the 4 h, a rat in each group was randomly selected to be sacrificed for the cerebral cortex electron microscopy observation (n = 1). The other resuscitated animals were observed for up to 72 h after ROSC (n = 7). Left ventricular ejection fraction (LVEF) and left ventricular end diastolic volume (LVEDV) were measured. Survival time, survival rate, and neurological deficit score (NDS) were recorded for 72 h.

Results

During hypothermia, higher LVEF was observed in the hypothermia groups when compared with normothermia group (35°C vs. 37°C, p < 0.05, 33°C and 28°C vs. 37°C, p < 0.01). Among the hypothermia groups, LVEF was higher in the 28°C group than that of 35°C (p < 0.05). However, both the heart rate (HR) (p < 0.01) and LVEDV (28°C vs. 35°C, p < 0.01, 28°C vs. 37°C and 33°C, p < 0.05) were lowest in the 28°C group when compared with the other groups. There were no significant differences of LVEF and LVEDV between the group 35°C and 33°C (p > 0.05). After rewarming, the LVEF of 35°C group was higher than that of group 37°C, 33°C, and 28°C (35°C vs. 37°C and 28°C, p < 0.01, 35°C vs. 33°C, p < 0.05). Group 35°C and 33°C resulted in longer survival (p < 0.01), higher survival rate (p < 0.01), and lower NDS (35°C vs. 37°C and 28°C, p < 0.01, 33°C vs. 37°C and 28°C, p < 0.05) compared with the group 37°C and 28°C. The extent of damage to cerebral cortex cells in group of 35°C and 33°C was lighter than that in group of 37°C and 28°C. The 35°C group spent less time in the process of cooling and rewarming than the group 33°C and 28°C (p < 0.01).

Conclusions

An almost equal protective effect of milder hypothermia (35°C) and mild hypothermia (33°C) in cardiac arrest (CA) rats was achieved with more predominant effect than moderate hypothermia (28°C) and normothermia (37°C). More importantly, shorter time spent in cooling and rewarming was required in the 35°C group, indicating its potential clinical application. These findings support the possible use of milder hypothermia (35°C) as a therapeutic agent for postresuscitation.

Recent advances in chemical synthesis, biocatalysis, and biological evaluation of diosgenin derivatives - A review

Extracting organic compounds from plants and developing derivatives are essential methods for drug discovery. Diosgenin, extracted from Dioscoreaceae plants, is a type of spirostan steroid with various biological effects, including anti-inflammation, neuro-protection, and apoptosis-induction. Many researchers committed their work to the chemical semi-synthesis of diosgenin derivatives to improve diosgenin's therapeutic bioavailability and expand its range of applications in disease treatment and prevention. Biotransformation, a mild whole-cell biocatalysis method, also made crucial contributions to the structural diversity of diosgenin analogs in recent years. Although the structural modification of diosgenin has made significant progress, it lacks a comprehensive review. Here, we review the chemical modification and biotransformation of diosgenin along with the biological evaluation of diosgenin derivatives to provide a reference for the structural modification strategy and pharmaceutical application of diosgenin derivatives.

Genome-wide Analysis Reflects Novel 5-Hydroxymethylcytosines Implicated in Diabetic Nephropathy and the Biomarker Potential

AIM

Diabetic nephropathy (DN) has become the most common cause of end-stage renal disease (ESRD) in most countries. Elucidating novel epigenetic contributors to DN can not only enhance our understanding of this complex disorder, but also lay the foundation for developing more effective monitoring tools and preventive interventions in the future, thus contributing to our ultimate goal of improving patient care.

METHODS

The 5hmC-Seal, a highly selective, chemical labeling technique, was used to profile genome-wide 5-hydroxymethylcytosines (5hmC), a stable cytosine modification type marking gene activation, in circulating cell-free DNA (cfDNA) samples from a cohort of patients recruited at Zhongnan Hospital, including T2D patients with nephropathy (DN, n = 12), T2D patients with non-DN vascular complications (non-DN, n = 29), and T2D patients without any complication (controls, n = 14). Differentially analysis was performed to find DN-associated 5hmC features, followed by the exploration of biomarker potential of 5hmC in cfDNA for DN using a machine learning approach.

RESULTS

Genome-wide analyses of 5hmC in cfDNA detected 427 and 336 differential 5hmC modifications associated with DN, compared with non-DN individuals and controls, and suggested relevant pathways such as NOD-like receptor signaling pathway and tyrosine metabolism. Our exploration using a machine learning approach revealed an exploratory model comprised of ten 5hmC genes showing the possibility to distinguish DN from non-DN individuals or controls.

CONCLUSION

Genome-wide analysis suggests the possibility of exploiting novel 5hmC in patient-derived cfDNA as a non-invasive tool for monitoring DN in high risk T2D patients in the future.

Toehold-mediated strand displacement coupled with single nanoparticle dark-field microscopy imaging for ultrasensitive biosensing

Highly sensitive detection of biomarkers is essential for disease prevention and early diagnosis. Herein, a highly sensitive strategy was proposed for microRNA-21 (miRNA-21) detection by the incorporation of programmable toehold-mediated strand displacement (TMSD) and dark-field microscopy imaging. Firstly, efficient and specific TSMD was carried out via hybridization between the substrate strand (Sub) and two short probe strands (P1, P2). Then, miRNA-21 could specifically hybridize with Sub due to the toehold that existed on its tail, which triggered the amplification with the help of the assist strands, and forming a large number of Sub-assist double-stranded DNA (dsDNA). This process realized the targeted highly specific recognition of miRNA-21 and the amplification of the trace target to high-output dsDNA. Additionally, as glucose oxidase (Gox) was modified on the end of the assist strands in advance, hydrogen peroxide was generated after adding glucose to the system, which further etched gold-silver core-shell nanocubes (Au@Ag NCs). As a result, the size of Au@Ag NCs decreased and the scattering intensity reduced simultaneously. The scattering intensity reduction value of Au@Ag NCs has a linear relationship with miRNA-21 concentration in the range of 1.0 to 100.0 fM with a limit of detection of 1.0 fM. Finally, the proposed method has been successfully demonstrated for the determination of miRNA-21 in lung cancer cell A549 lysate.

Knee symptom but not radiographic knee osteoarthritis increases the risk of falls and fractures: results from the Osteoarthritis Initiative

OBJECTIVE

To describe the effect of knee symptoms and radiographic osteoarthritis (ROA) on the risk of falls, recurrent falls, and fractures.

DESIGN

Participants from the Osteoarthritis Initiative were classified as having 'no', 'unilateral' or 'bilateral' knee symptoms (≥19 on a 0-96 Western Ontario and McMaster Universities Osteoarthritis Index) and ROA (Kellgren-Lawrence grade ≥2) for each visit. Self-reported falls and fractures in the past 12 months were extracted at baseline and follow-up visits until month 96. Recurrent falls were defined as having ≥2 falls in the past 12 months. Hazard ratios (HR) with 95% confidence intervals (CI) were estimated using mixed-effects complementary log-log regression.

RESULTS

Of 4465 participants, 3145 (70%), 1681 (38%), and 806 (18%) experienced at least one fall, recurrent fall, and fracture, respectively, over 96 months. Compared to participants without symptomatic knee, unilateral and bilateral knee symptoms were associated with a 17% increased risk of falls and a 36-46% increased risk of recurrent falls, and bilateral knee symptoms increased the risk of fractures (HR 1.45, 95%CI 1.17 to 1.81). Compared to participants with no ROA in either knee, bilateral ROA was associated with a reduced risk of falls (HR 0.87, 95%CI 0.77 to 0.99) and fractures (HR 0.78, 95%CI 0.64 to 0.96). No statistically significant interactions between knee symptoms and ROA were observed.

CONCLUSIONS

This large population-based study showed that knee symptoms but not ROA increased the risk of falls, recurrent falls, and fractures, and that adults with bilateral ROA may have a lower risk of falls and fractures.

222 Robotic Surgery: Public Perceptions and Current Misconceptions

Aim

While surgeons and robotic companies are key stakeholders involved in the adoption of Robotic Surgery (RS), the public's role is often overlooked. However, given that patients hold ultimate power over their healthcare decisions, public acceptance of RS is crucial. This study aims to identify public understanding, opinions and misconceptions on RS and present solutions to facilitate its wider integration.

Method

An online questionnaire distributed via social media platforms between February and May 2021 identified the views of UK adults on RS. The data was evaluated using thematic analysis, descriptive statistics, and statistical analysis. Statistical differences in age, gender, education level, and presence in the medical field were also sought.

Results

263 responses were obtained, with 216 (82.1%) analysed. Demographic differences provided significantly different results. Participants were relatively uninformed about RS, with a median knowledge score of 4.00(2.00–6.00) on a 10-point likert scale. Fears surrounding increased risk, reduced precision and technological failure were identified, alongside misconceptions on what RS entails, including it being autonomous. However, providing factual information in the survey about RS statistically increased participant comfort (p=&lt;0.0001). Most (61.8%) participants believed robot manufacturers were responsible for malfunctions, but doctors were held accountable more by older, less educated, and non-medical participants.

Conclusions

This study highlights the role of negative and inaccurate public perceptions surrounding RS in impeding its widespread adoption. Greater emphasis must be placed on patient education in RS to mitigate misconceptions and ensure greater diffusion of its benefits

219 The Opportunities and Challenges of Robotic Surgery: A Surgeon and Robotic Company Perspective

Introduction

As an increasing number of specialties have begun to adopt robotic surgery (RS), its prevalence within the NHS is continually rising. This study aims to establish stakeholders’ opinions on the opportunities and challenges of the widespread adoption of RS.

Method

Participants were recruited through social media platforms such as LinkedIn or via university affiliations and current RS research. Semi-structured interviews of eight surgeons and five company representatives were conducted online. Transcripts were analysed to formulate themes surrounding the opportunities and challenges of RS.

Results

This study identified six common themes amongst shareholders: Perspective, Ethics, Impact of Robotics, Training, Adoption and Finances. The success rates and quality of results offered by RS make it a recognised future surgical staple amongst interviewees. However, the technology remains a contentious subject amongst surgeons, with many doubting whether the benefits outweigh the costs associated with implementation. Such reservations are further exacerbated by the absence of a formal training pathway. National guidelines are necessary to embed RS within the NHS infrastructure, allowing greater standardisation for patients and surgeons. The importance of patient education to address misconceptions was emphasised. Despite current high costs, robotic technology is forecasted to become cheaper with greater use and increased market competition. Interviewees stressed that responsibility for errors lies with the surgeon, but with the manufacturer for instrument malfunctions.

Conclusions

This study highlights stakeholders’ views on the opportunities and challenges of RS. The identified themes should form the basis of the proposed recommendations to facilitate a more widespread adoption of RS.

A 3D Grouped Convolutional Network Fused with Conditional Random Field and Its Application in Image Multi-target Fine Segmentation

Aiming at the utilization of adjacent image correlation information in multi-target segmentation of 3D image slices and the optimization of segmentation results, a 3D grouped fully convolutional network fused with conditional random fields (3D-GFCN) is proposed. The model takes fully convolutional network (FCN) as the image segmentation infrastructure, and fully connected conditional random field (FCCRF) as the post-processing tool. It expands the 2D convolution into 3D operations, and uses a shortcut-connection structure to achieve feature fusion of different levels and scales, to realizes the fine-segmentation of 3D image slices. 3D-GFCN uses 3D convolution kernel to correlate the information of 3D image adjacent slices, uses the context correlation and probability exploration mechanism of FCCRF to optimize the segmentation results, and uses the grouped convolution to reduce the model parameters. The dice loss that can ignore the influence of background pixels is used as the training objective function to reduce the influence of the imbalance quantity between background pixels and target pixels. The model can automatically study and focus on target structures of different shapes and sizes in the image, highlight the salient features useful for specific tasks. In the mechanism, it can improve the shortcomings and limitations of the existing image segmentation algorithms, such as insignificant morphological features of the target image, weak correlation of spatial information and discontinuous segmentation results, and improve the accuracy of multi-target segmentation results and learning efficiency. Take abdominal abnormal tissue detection and multi-target segmentation based on 3D computer tomography (CT) images as verification experiments. In the case of small-scale and unbalanced data set, the average Dice coefficient is 88.8%, the Class Pixel Accuracy is 95.3%, and Intersection of Union is 87.8%. Compared with other methods, the performance evaluation index and segmentation accuracy are significantly improved. It shows that the proposed method has good applicability for solving typical multi-target image segmentation problems, such as boundary overlap, offset deformation and low contrast.

Similarities Between Somatosensory Cortical Responses Induced via Natural Touch and Microstimulation in the Ventral Posterior Lateral Thalamus in Macaques

Lost sensations, such as touch, could be restored by microstimulation (MiSt) along the sensory neural substrate. Such neuroprosthetic sensory information can be used as feedback from an invasive brain-machine interface (BMI) to control a robotic arm/hand, such that tactile and proprioceptive feedback from the sensorized robotic arm/hand is directly given to the BMI user. Microstimulation in the human somatosensory thalamus (Vc) has been shown to produce somatosensory perceptions. However, until recently, systematic methods for using thalamic stimulation to evoke naturalistic touch perceptions were lacking. We have recently presented rigorous methods for determining a mapping between ventral posterior lateral thalamus (VPL) MiSt, and neural responses in the somatosensory cortex (S1), in a rodent model (Choi et al., 2016; Choi and Francis, 2018). Our technique minimizes the difference between S1 neural responses induced by natural sensory stimuli and those generated via VPL MiSt. Our goal is to develop systems that know what neural response a given MiSt will produce and possibly allow the development of natural “sensation.” To date, our optimization has been conducted in the rodent model and simulations. Here, we present data from simple non-optimized thalamic MiSt during peri-operative experiments, where we used MiSt in the VPL of macaques, which have a somatosensory system more like humans, as compared to our previous rat work (Li et al., 2014; Choi et al., 2016). We implanted arrays of microelectrodes across the hand area of the macaque S1 cortex as well as in the VPL. Multi and single-unit recordings were used to compare cortical responses to natural touch and thalamic MiSt in the anesthetized state. Post-stimulus time histograms were highly correlated between the VPL MiSt and natural touch modalities, adding support to the use of VPL MiSt toward producing a somatosensory neuroprosthesis in humans.

Identification of a Novel Immune-Related lncRNA CTD-2288O8.1 Regulating Cisplatin Resistance in Ovarian Cancer Based on Integrated Analysis

Ovarian cancer (OC) is the most lethal gynecological malignancy, in which chemoresistance is a crucial factor leading to the poor prognosis. Recently, immunotherapy has brought new light for the treatment of solid tumors. Hence, as a kind of immunologically active cancer, it is reasonably necessary to explore the potential mechanism between immune characteristics and cisplatin resistance in OC. Our study focused on the important role of cisplatin resistance-related lncRNAs on mediating the OC tumor immune microenvironment (TIME) using an integrative analysis based on the Cancer Genome Atlas (TCGA) database. First, the cisplatin resistance-related differentially expressed lncRNAs (DELs) and mRNAs (DEMs) were preliminarily screened to construct a DEL–DEM co-expression network. Next, the protein–protein interaction (PPI) network and pivot analysis were performed to reveal the relevance of these lncRNAs with tumor immune response. Second, the novel lncRNA CTD-2288O8.1 was identified as a key gene for the OC cisplatin resistance formation by qRT-PCR and survival analysis. Gain- and loss-of-function assays (Cell Counting Kit-8 (CCK-8) assay, wound-healing scratch assay, transwell assay, and colony formation assay) further verified the activity of CTD-2288O8.1 in OC progression as well. Third, gene set enrichment analysis (GSEA) was applied along with the correlation analyses of CTD-2288O8.1 with ImmuneScore, tumor-infiltrating immune cells (TICs), and immune inhibitory checkpoint molecules, illustrating that CTD-2288O8.1 was strongly associated with the TIME and has the potential to predict the effect of OC immunotherapy. In addition, basic experiments demonstrated that the expression of CTD-2288O8.1 impacted the EGFR/AKT signal pathway activity of OC tumor cells. Of greater significance, it promoted the M2 polarization of macrophage, which is a type of the most important components of the TIME in solid tumor. Taking together, our study revealed cisplatin resistance-related lncRNAs closely linked with tumor immunity in OC, underscoring the potential mechanism of the TIME in conferring cisplatin resistance, which provided the research basis for further clinical treatment. CTD-2288O8.1 was identified to mediate cisplatin resistance and affect the response of immunotherapy, which could serve as a promising biomarker for guiding clinical treatment and improving prognosis in OC.

Integrated Analysis of RNA Binding Protein-Related lncRNA Prognostic Signature for Breast Cancer Patients

Long non-coding RNAs (lncRNAs) have been well known for their multiple functions in the tumorigenesis, development, and prognosis of breast cancer (BC). Mechanistically, their production, function, or stability can be regulated by RNA binding proteins (RBPs), which were also involved in the carcinogenesis and progression of BC. However, the roles and clinical implications of RBP-related lncRNAs in BC remain largely unknown. Therefore, we herein aim to construct a prognostic signature with RBP-relevant lncRNAs for the prognostic evaluation of BC patients. Firstly, based on the RNA sequencing data of female BC patients from The Cancer Genome Atlas (TCGA) database, we screened out 377 differentially expressed lncRNAs related to RBPs. The univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses were then performed to establish a prognostic signature composed of 12-RBP-related lncRNAs. Furthermore, we divided the BC patients into high- and low-risk groups by the prognostic signature and found the overall survival (OS) of patients in the high-risk group was significantly shorter than that of the low-risk group. Moreover, the 12-lncRNA signature exhibited independence in evaluating the prognosis of BC patients. Additionally, a functional enrichment analysis revealed that the prognostic signature was associated with some cancer-relevant pathways, including cell cycle and immunity. In summary, our 12-lncRNA signature may provide a theoretical reference for the prognostic evaluation or clinical treatment of BC patients.