The C-terminal tail of polycystin-1 suppresses cystic disease in a mitochondrial enzyme-dependent fashion

Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent potentially lethal monogenic disorder. Mutations in the PKD1 gene, which encodes polycystin-1 (PC1), account for approximately 78% of cases. PC1 is a large 462-kDa protein that undergoes cleavage in its N and C-terminal domains. C-terminal cleavage produces fragments that translocate to mitochondria. We show that transgenic expression of a protein corresponding to the final 200 amino acid (aa) residues of PC1 in two Pkd1-KO orthologous murine models of ADPKD suppresses cystic phenotype and preserves renal function. This suppression depends upon an interaction between the C-terminal tail of PC1 and the mitochondrial enzyme Nicotinamide Nucleotide Transhydrogenase (NNT). This interaction modulates tubular/cyst cell proliferation, the metabolic profile, mitochondrial function, and the redox state. Together, these results suggest that a short fragment of PC1 is sufficient to suppress cystic phenotype and open the door to the exploration of gene therapy strategies for ADPKD.

POS0676 EFFICACY AND SAFETY OF FILGOTINIB IN PATIENTS AGED ≥75 YEARS: A POST HOC SUBGROUP ANALYSIS OF THE FINCH 4 LONG-TERM EXTENSION (LTE) STUDY

Background

Filgotinib (FIL) is a Janus kinase 1 preferential inhibitor for the treatment of moderate to severe rheumatoid arthritis (RA)1. The recommended dose for adults with RA is 200 mg (FIL200); however, a starting dose of 100 mg (FIL100) is recommended for those aged ≥75 years (y) in view of limited clinical experience1. An important consideration is the generally higher incidence of adverse events (AEs) in the elderly due to comorbidities.

Objectives

To evaluate the efficacy and safety of FIL100 and FIL200 in patients with RA aged ≥75 y.

Methods

FINCH 4 (NCT03025308) is an ongoing phase 3 open-label LTE study of FIL100 and FIL200 for RA. Eligible patients completed a prior phase 3 randomized double-blind study of FIL lasting 52 weeks (FINCH 1 or 3) or 24 weeks (FINCH 2). In this post hoc analysis, safety and efficacy were assessed in patients aged <75 and ≥75 y in FINCH 4. Efficacy measures were American College of Rheumatology (ACR)20/50/70 responses, clinical disease activity index (CDAI) ≤10/≤2.8, disease activity score (DAS)28 <2.6/≤3.2 and health assessment questionnaire-disability index (HAQ-DI).

Results

At LTE Week 48, 52% and 44% of patients aged <75 and ≥75 y, respectively, were on methotrexate. In both age groups, response rates for key efficacy measures at LTE Week 48 were generally maintained from LTE baseline (Figure 1) in patients with and without prior FIL exposure in FINCH 1–3, and were numerically higher with FIL200 vs FIL100. Mean change from baseline in HAQ-DI with FIL200 and FIL100 was 0.61 and 0.74 in those aged <75 y and 1.04 and 0.98 in those aged ≥75 y, respectively.

Figure 1.

The exposure-adjusted incidence rate (EAIR) of serious AEs and AEs of special interest (AESI) was generally higher in patients aged ≥75 y than <75 y. In those aged ≥75 y, the EAIR of AEs leading to premature study discontinuation, treatment-emergent AEs (TEAEs), and serious TEAEs was higher with FIL200 vs FIL100; the incidence of major adverse cardiovascular events, venous thrombotic and embolic events, serious infections, herpes zoster and malignancies was low in both dose groups (Table 1). Three patients died, all from the FIL200 group; each had a medical history relevant to the cause of death.

Table 1.

Exposure-adjusted incidence rate (95% CI) of AEs at Week 48 as events per 100 years of exposure

FIL200FIL100Age, years<75≥75<75≥75n=1469n=61n=1136n=63(PYE 2253.9)(PYE 92.2)(PYE 1753.7)(PYE 98.4)With prior FIL exposure, n (%)1142 (77.7)53 (86.9)830 (73.1)33 (52.4)TEAE48.3 (45.5, 51.3)55.3 (42.1, 72.8)48.7 (45.5, 52.1)42.7 (31.6, 57.8)Serious TEAE6.8 (5.8, 8.0)17.4 (10.6, 28.3)7.4 (6.2, 8.7)14.2 (8.4, 24.0)AE leading to premature study discontinuation2.9 (2.3, 3.7)9.8 (5.1, 18.8)3.9 (3.1, 5.0)4.1 (1.5, 10.8)AE leading to death0.5 (0.3, 0.9)3.3 (0.7, 9.5)*0.3 (0.2, 0.8)0.0 (0.0, 3.8)Infections28.8 (26.6, 31.1)29.3 (20.1, 42.7)27.4 (25.0, 29.9)26.4 (18.0, 38.8)Serious infections1.6 (1.2, 2.2)2.2 (0.5, 8.7)1.7 (1.1, 2.4)3.1 (1.0, 9.5)Herpes zoster1.6 (1.2, 2.3)2.2 (0.5, 8.7)1.0 (0.6, 1.6)3.1 (1.0, 9.5)Adjudicated major adverse cardiovascular event0.4 (0.2, 0.7)2.2 (0.5, 8.7)0.5 (0.2, 0.9)1.0 (0.1, 7.2)Venous thrombotic and embolic events0.3 (0.1, 0.6)2.2 (0.5, 8.7)0.2 (0.1, 0.5)1.0 (0.1, 7.2)Malignancy excluding NMSC0.7 (0.4, 1.2)4.3 (1.6, 11.6)0.7 (0.4, 1.2)3.1 (1.0, 9.5)NMSC0.4 (0.2, 0.8)1.1 (0.0, 6.0)0.2 (0.1, 0.6)0.0 (0.0, 3.8)

*Cause of death: esophageal carcinoma; cardiovascular; unknown. FIL(100/200), filgotinib (100/200 mg); NMSC, nonmelanoma skin cancer; PYE, patient years of exposure; (TE)AE, (treatment-emergent) adverse event

Conclusion

In the ≥75 y group, response rates for key efficacy measures remained stable to Week 48 and were generally higher with FIL200 vs FIL100. The incidence of serious AEs and AESI was higher in those aged ≥75 than <75 y. Patient numbers/exposure time may have been insufficient to show potential between-group differences in safety/efficacy outcomes.

References

[1]Filgotinib SmPC

Acknowledgements

The FINCH studies were funded by Gilead Sciences (Foster City, CA, United States). We thank the physicians and patients who participated in the studies. Medical writing support was provided by Debbie Sherwood, BSc (Aspire Scientific Ltd, Bollington, UK) and funded by Galapagos NV (Mechelen, Belgium).

Disclosure of Interests

Daniel Aletaha Speakers bureau: AbbVie, Amgen, Lilly, Janssen, Merck, Novartis, Pfizer, Roche, and Sandoz, Consultant of: AbbVie, Amgen, Lilly, Janssen, Merck, Novartis, Pfizer, Roche, and Sandoz, Grant/research support from: AbbVie, Amgen, Lilly, Novartis, Roche, SoBi, and Sanofi, Rene Westhovens Speakers bureau: Celltrion, Galapagos, and Gilead, Consultant of: Celltrion, Galapagos, and Gilead, Bernard Combe Speakers bureau: AbbVie, BMS, Celltrion, Eli Lilly, Gilead-Galapagos, Janssen, MSD, Novartis, Pfizer, and Roche-Chugai, Consultant of: AbbVie, Celltrion, Eli Lilly, Gilead-Galapagos, Janssen, and Roche-Chugai, Jacques-Eric Gottenberg Consultant of: AbbVie, BMS, Galapagos, Gilead, Lilly, and Pfizer, Grant/research support from: BMS and Pfizer, Maya H Buch Speakers bureau: AbbVie, Consultant of: AbbVie, Galapagos, Gilead, and Pfizer, Grant/research support from: Gilead and Pfizer, Roberto Caporali Speakers bureau: AbbVie, Amgen, BMS, Celltrion, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Sandoz, and UCB, Consultant of: AbbVie, Amgen, BMS, Celltrion, Fresenius-Kabi, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, Sandoz, and UCB, José A Gómez-Puerta Speakers bureau: AbbVie, BMS, Galapagos, GSK, Lilly, MSD, Novartis, Pfizer, Roche, and Sanofi, Consultant of: GSK, Roche, and Sanofi, Paul Van Hoek Employee of: Galapagos, Vijay Rajendran Employee of: Galapagos, Pieter-Jan Stiers Shareholder of: Galapagos, Employee of: Galapagos, Thijs Hendrikx Employee of: Galapagos, Gerd Rüdiger Burmester Consultant of: AbbVie, Amgen, BMS, Galapagos, Lilly, MSD, Pfizer, Roche, and Sanofi, Yoshiya Tanaka Speakers bureau: AbbVie, Amgen, Astellas, Astra-Zeneca, Boehringer-Ingelheim, BMS, Chugai, Eisai, Eli Lilly, Gilead, Mitsubishi-Tanabe, and YL Biologics, Consultant of: AbbVie, Ayumi, Daiichi-Sankyo, Eli Lilly, GSK, Sanofi, and Taisho, Grant/research support from: AbbVie, Asahi-Kasei, Boehringer-Ingelheim, Chugai, Corrona, Daiichi-Sankyo, Eisai, Kowa, Mitsubishi-Tanabe, and Takeda

POS0678 CLINICAL OUTCOMES OF METHOTREXATE (MTX)-NAIVE RHEUMATOID ARTHRITIS (RA) PATIENTS (pts) ON FILGOTINIB (FIL) LONG-TERM EXTENSION (LTE) TRIAL INITIALLY ON FIL OR MTX DURING THE PHASE 3 PARENT STUDY (PS)

Background

The preferential Janus kinase-1 inhibitor FIL is approved for treatment of moderate to severe active RA in Europe and Japan.

Objectives

In this post hoc, exploratory analysis, efficacy and safety of long-term treatment with FIL (± MTX) were assessed in MTX-naïve pts treated with FIL or MTX in the Phase 3 PS (NCT02886728).1

Methods

Pts received FIL 200 mg (FIL200)+MTX, FIL 100 mg (FIL100)+MTX, FIL200 alone, or MTX alone up to 52 W in PS.1 Those completing PS on study drug could enter LTE (NCT03025308; data cutoff: June 1, 2020). MTX completers were rerandomized, blinded, to FIL200 or FIL100; pts on FIL in PS remained on the same dose in LTE. MTX was washed out for 4 W at LTE baseline (BL); pts could (re)start MTX and/or other conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) ≥4 W after LTE first dosing.1 Efficacy data to LTE W48 and safety data are reported.

Results

As of June 1, 2020, 439/492 (89%) and 144/169 (85%) pts who entered LTE from PS FIL200 and PS FIL100 groups, respectively, remained on LTE study treatment; of those rerandomized from MTX, 131/148 (89%) FIL200 and 133/151 (88%) FIL100 pts remained on study treatment. LTE BL characteristics were similar between FIL200 and FIL100 groups. After MTX washout, 17% of FIL200 and 23% of FIL100 pts (re)started MTX (at clinical judgment). ACR20/50/70 response rates among pts from PS FIL arms decreased modestly from LTE BL to W12 then stabilized. Among pts who switched from PS MTX to LTE FIL, response rates remained stable or improved to approach those of PS FIL pts by W48 (Figure 1). Similar trends were seen in DAS28(CRP) and CDAI. Treatment-emergent adverse events (TEAEs), Grade ≥3 AEs, serious AEs, and infections were largely comparable across groups and did not increase after MTX to FIL switch. There were 6 deaths, all among PS FIL200 pts (Table 1).

Table 1.

EAIRs of TEAEs through June 2020

EAIR (95% CI)FIL200+MTX →FIL200 →FIL100+MTX →MTX →MTX →FIL200 LTEFIL200 LTEFIL100 LTEFIL200 LTEFIL100 LTEn=325n=167n=169n=148n=151PYE=474.4PYE=232.5PYE=236.4PYE=213.4PYE=215.4TEAE49.7 (43.8, 56.5)46.9 (38.9, 56.6)49.9 (41.7, 59.8)50.6 (41.9, 61.1)46.4 (38.2, 56.5)TEAE Grade ≥37.2 (5.1, 10.0)6.5 (3.9, 10.7)10.2 (6.8, 15.1)7.0 (4.2, 11.7)7.0 (4.2, 11.6)TE serious AE5.9 (4.1, 8.5)6.0 (3.6, 10.2)8.9 (5.8, 13.6)6.6 (3.9, 11.1)6.5 (3.9, 11.0)Death1.1 (0.3, 2.5)0.4 (0.1, 3.1)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)Infections28.5 (24.0, 33.7)29.7 (23.4, 37.6)27.5 (21.6, 35.1)28.6 (22.2, 36.7)27.4 (21.2, 35.4)Serious infections1.1 (0.4, 2.5)3.0 (1.4, 6.3)2.5 (1.1, 5.7)1.9 (0.7, 5.0)1.9 (0.7, 4.9)Opportunistic infections0.2 (0, 1.5)0 (0, 1.6)0.8 (0.2, 3.4)0 (0, 1.7)0 (0, 1.7)Herpes zoster0.8 (0.3, 2.2)1.7 (0.6, 4.6)0.8 (0.2, 3.4)1.9 (0.7, 5.0)0.9 (0.2, 3.7)MACE (adjudicated)0.6 (0.1, 1.8)0.9 (0.2, 3.4)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)VTE (adjudicated for DVT/PE)0.2 (0, 1.2)0.4 (0.1, 3.1)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)Malignancies (excluding NMSC)0.6 (0.2, 2.0)0 (0, 1.6)1.7 (0.6, 4.5)0.5 (0, 2.6)0 (0, 1.7)NMSC0.6 (0.2, 2.0)0.4 (0.1, 3.1)0.8 (0.2, 3.4)0.5 (0, 2.6)0 (0, 1.7)

DVT, deep vein thrombosis; EAIRs, exposure-adjusted incidence rates (per 100 patient-years of exposure); MACE, major adverse cardiovascular event; NMSC, nonmelanoma skin cancer; PE, pulmonary embolism; VTE, venous thromboembolism

Figure 1.

Conclusion

Overall, response rates improved from LTE BL to W48 for pts switched from PS MTX to FIL and decreased modestly for PS FIL pts. Rates of AEs of special interest were generally low and tended to be higher in pts maintained on FIL from PS. Safety findings in this subpopulation were comparable with the PS through W521 and with a 7-trial integrated safety analysis.2 Limitations: the LTE was not formally randomized at BL, the groups were of unequal size, and the switch from MTX to FIL for LTE was by design rather than based on disease activity.

References

[1]Westhovens R et al. Ann Rheum Dis 2021;80:727–38.

[2]Winthrop K et al. Arthritis Rheumatol 2020;72(suppl 10): abstract 0229.

Acknowledgements

Funding for the trials was provided by Galapagos NV and Gilead Sciences, Inc. The sponsors participated in the planning, execution, and interpretation of the research. This study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Gregory Bezkorovainy, MA, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA. Funding for this analysis was provided by Gilead Sciences, Inc.

Disclosure of Interests

Daniel Aletaha Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Sandoz, Sanofi/Genzyme, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, and Sanofi/Genzyme, Grant/research support from: AbbVie, Merck Sharp & Dohme, Novartis, and Roche, Rene Westhovens Consultant of: Celltrion, Galapagos, and Gilead Sciences, Inc., Grant/research support from: Celltrion, Galapagos, and Gilead Sciences, Inc., Tatsuya Atsumi Speakers bureau: AbbVie Inc., Astellas Pharma Inc., Bristol Myers Squibb Co., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eisai Co. Ltd, Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Otsuka Pharmaceutical Co., Ltd, Pfizer Inc., Takeda Pharmaceutical Co., Ltd, UCB Japan Co. Ltd, Consultant of: AbbVie Inc., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eli Lilly Japan K.K., Gilead Sciences, Inc., Pfizer Inc., UCB Japan Co. Ltd, Grant/research support from: AbbVie Inc., Alexion Pharmaceuticals, Inc., Astellas Pharma Inc., Bristol Myers Squibb Co., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Pfizer Inc., YingMeei Tan Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Vijay Rajendran Shareholder of: Galapagos NV, Employee of: Galapagos NV, Sander Strengholt Shareholder of: Galapagos BV, Employee of: Galapagos BV, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead Sciences, Inc. and Pfizer, Consultant of: AbbVie, Eli Lilly, Gilead Sciences, Inc. and Pfizer

POS0518 EFFECT OF FILGOTINIB (FIL) ON BODY WEIGHT (BW) AND BODY MASS INDEX (BMI) AND EFFECT OF BASELINE BMI ON THE EFFICACY AND SAFETY OF FIL IN RHEUMATOID ARTHRITIS (RA)

Background

FIL is a Janus kinase (JAK) 1 preferential inhibitor approved for the treatment (tx) of moderate to severe RA. Weight gain has been reported with other JAK inhibitors1–3; it is important to describe the effect of FIL on BW/BMI for physicians to correctly inform and appropriately treat patients.

Objectives

Our primary aim was to assess the effect of FIL on BW/BMI using data from the FINCH 1–3 studies. Secondary aims were to assess the efficacy and safety of FIL according to baseline BMI.

Methods

FINCH 1–3 (NCT02889796, NCT02873936, NCT02886728) were phase 3, randomised, double-blind, active/placebo (PBO)-controlled studies of FIL 100/200 mg (FIL100/FIL200) ± methotrexate (MTX) in patients with active RA who had an inadequate response to MTX (FINCH 1) or biologic DMARD (FINCH 2), or were MTX naïve (FINCH 3). We assessed changes from baseline (CFB) in BW and BMI by tx group and baseline BMI, and the efficacy and safety of FIL by baseline BMI (<25, 25–<30 or ≥30 kg/m2). Efficacy measures included American College of Rheumatology (ACR)20/50/70 response, Disease Activity Score 28 with C-reactive protein (DAS28-CRP) and health assessment questionnaire disability index (HAQ-DI). Safety data were from 7 RA clinical trials (FINCH 1–4, DARWIN 1–3)4.

Results

In FINCH 1–3, baseline disease characteristics such as HAQ-DI, DAS28-CRP and clinical disease activity index were similar across BMI subgroups for each tx group. There were no clinically relevant CFB in median BW or BMI in any tx group or differences between tx groups. Mean CFB in BMI (kg/m2) were 0.4 with FIL200 and FIL100 and 0.3 with adalimumab (ADA) at Week 52 in FINCH 1; 0.2, 0.6 and −0.1 with FIL200, FIL100 and PBO, respectively, at Week 24 in FINCH 2; and 0.5, 0.6, 1.1 and 0.3 with FIL200+MTX, FIL100+MTX, FIL200 and MTX, respectively, at Week 52 in FINCH 3.

CFB in BMI did not appear dependent on baseline BMI. FIL200±MTX was efficacious vs controls regardless of baseline BMI for most measures at each timepoint. In FINCH 1, in the <25, 25–<30 and ≥30 kg/m2 BMI subgroups, DAS28-CRP <2.6 was achieved by 38%, 29% and 33% of the FIL200 group, 29%, 19% and 21% of the ADA group, and 7%, 10% and 11% of the PBO group at Week 12, respectively. Figure 1 shows ACR20 responders by baseline BMI in FINCH 1–3. Integrated safety data across baseline BMI subgroups are summarised in Table 1. VTE rate was numerically higher with FIL200 in the ≥30 than 25–<30 or <25 kg/m2 BMI subgroups; serious infection rate was numerically higher with FIL100 in the <25 mg/m2 subgroup vs other BMI subgroups.

Table 1.

Exposure-adjusted incidence rate (95% CI) of AEs per 100 PYE by baseline BMI

FIL dose (mg)BMI (kg/m2)<2525–<30≥30PYE 3062.8PYE 2640.1PYE 2382.2TEAEs20034.5 (32.0, 37.1)35.7 (33.0, 38.6)36.6 (33.7, 39.8)10044.3 (40.4, 48.6)43.0 (38.9, 47.5)45.3 (41.1, 50.0)Serious TEAEs2005.3 (4.4, 6.4)5.8 (4.8, 7.1)7.1 (5.8, 8.5)1007.6 (6.0, 9.4)6.5 (5.0, 8.4)8.1 (6.4, 10.2)Deaths2000.3 (0.2, 0.7)0.5 (0.3, 1.0)0.5 (0.2, 1.0)1000.4 (0.1, 1.0)0.3 (0.1, 1.0)0.2 (0.1, 0.9)Venous thrombotic and embolic events2000.1 (0.0, 0.4)0.1 (0.0, 0.5)0.5 (0.2, 1.0)1000.1 (0.0, 0.7)0.1 (0.0, 0.8)0.2 (0.1, 0.9)Major adverse cardiovascular events2000.3 (0.2, 0.7)0.3 (0.1, 0.7)0.5 (0.2, 1.0)1000.6 (0.3, 1.3)0.3 (0.1, 1.0)0.6 (0.2, 1.4)Serious infections2001.1 (0.7, 1.7)1.7 (1.2, 2.5)1.8 (1.2, 2.6)1002.6 (1.8, 3.9)1.2 (0.7, 2.2)2.2 (1.4, 3.4)Herpes zoster2001.6 (1.1, 2.2)1.4 (1.0, 2.1)1.8 (1.2, 2.6)1001.0 (0.5, 1.8)1.2 (0.7, 2.2)1.0 (0.5, 2.0)Malignancy excluding nonmelanoma skin cancer2000.5 (0.3, 1.0)0.7 (0.4, 1.3)0.5 (0.3, 1.1)1000.6 (0.3, 1.3)0.4 (0.2, 1.2)0.8 (0.4, 1.7)

BMI, body mass index; FIL, filgotinib; PYE, patient years of exposure; (TE)AE, (treatment-emergent) adverse event

Conclusion

FIL did not substantially affect CFB in BW or BMI. FIL200±MTX was generally more efficacious vs controls regardless of baseline BMI, and the rate of TEAEs was similar across baseline BMI subgroups.

References

[1]Tofacitinib SmPC

[2]Baracitinib SmPC

[3]Upadacitinib SmPC

[4]Winthrop K, et al. ACR 2021. Abstract 1698

Acknowledgements

The FINCH studies were funded by Gilead Sciences (Foster City, CA, United States).

We thank the physicians and patients who participated in the studies.

Medical writing support was provided by Debbie Sherwood, BSc (Aspire Scientific Ltd, Bollington, UK) and funded by Galapagos NV (Mechelen, Belgium).

Disclosure of Interests

Alejandro Balsa Speakers bureau: AbbVie, Galapagos, Gilead, Lilly, Nordic, Pfizer, Sandoz, and UCB, Consultant of: AbbVie, Galapagos, Lilly, Nordic, Pfizer, and UCB, Grant/research support from: AbbVie, Pfizer, UCB, Siegfried Wassenberg Speakers bureau: AbbVie, MSD, Pfizer, and Sanofi, Consultant of: AbbVie, Gilead, Lilly, Nichi-Iko, Pfizer, and UCB, Grant/research support from: Pfizer, Anne Tournadre Speakers bureau: Fresenius-Kabi and Sanofi, Paid instructor for: Fresenius-Kabi, Consultant of: AbbVie, Fresenius-Kabi, Lilly, Novartis, and Sanofi, Grant/research support from: Novartis, Pfizer, and UCB, Hans-Dieter Orzechowski Employee of: Galapagos, Katrien Van Beneden Shareholder of: Galapagos, Employee of: Galapagos, Vijay Rajendran Employee of: Galapagos, Udo Lendl Employee of: Galapagos, Pieter-Jan Stiers Shareholder of: Galapagos, Employee of: Galapagos, Chris Watson Shareholder of: Galapagos, Employee of: Galapagos, Roberto Caporali Speakers bureau: AbbVie, Accord, BMS, Celltrion, Fresenius-Kabi, Galapagos, Lilly, MSD, Novartis, Pfizer, Sandoz, and UCB, Consultant of: AbbVie, Accord, BMS, Celltrion, Fresenius-Kabi, Galapagos, Lilly, MSD, Novartis, Pfizer, Sandoz, and UCB, Patrick Verschueren Speakers bureau: Eli Lilly, Galapagos, MSD, and Roularta, Consultant of: AbbVie, BMS, Celltrion, Eli Lilly, Galapagos, Gilead, Nordic Pharma, Pfizer, Sidekick Health, and UCB, Grant/research support from: Pfizer Chair Management of Early Rheumatoid Arthritis at KU Leuven Belgium.

AB0394 CLINICAL OUTCOMES UP TO WEEK 48 OF ONGOING FILGOTINIB (FIL) RHEUMATOID ARTHRITIS (RA) LONG-TERM EXTENSION (LTE) TRIAL OF BIOLOGIC DISEASE-MODIFYING ANTIRHEUMATIC DRUG (bDMARD) INADEQUATE RESPONDERS (IR) INITIALLY ON FIL OR PLACEBO IN A PHASE 3 PARENT STUDY (PS)

Background

The preferential Janus kinase-1 inhibitor FIL is approved for treatment of moderate to severe active RA in Europe and Japan.

Objectives

Efficacy and safety of FIL were assessed in patients (pts) with IR to bDMARDs in a LTE trial (NCT03025308) enrolled from a Phase 3 PS (NCT02873936).1

Methods

bDMARD-IR pts received FIL 200 mg (FIL200), FIL 100 mg (FIL100), or placebo (PBO), all with stable conventional synthetic (cs)DMARDs up to 24 weeks (W). At W14 of the PS, pts with IR to FIL or PBO (<20% improvement in swollen [66] and tender [68] joint counts) switched to standard of care (SOC; investigator’s choice of treatment). Pts completing the PS on FIL, PBO, or SOC could enter the LTE. PS FIL pts were maintained, blinded, on their FIL dose; PS PBO and PS SOC pts were rerandomized, blinded, to FIL200 or FIL100. Efficacy data to LTE W48 and safety data to data cutoff (June 1, 2020) are reported.

Results

The PS included 147, 153, and 148 pts on FIL200, FIL100, and PBO. Pts continuing on LTE FIL200 and FIL100 at data cutoff: 80/121 (66%) and 76/110 (69%) from PS FIL200 and FIL100; 35/47 (75%) and 32/46 (70%) from PS PBO, and 13/23 (57%) and 13/22 (59%) from PS SOC. LTE baseline (BL) characteristics were similar in FIL200 and FIL100 pts. During LTE, PS FIL ACR20/50/70 response rates decreased modestly by W48 (Figure 1). Among PS PBO pts, response rates were lower at LTE BL, reaching similar levels to PS FIL pts by W48; rates increased to W48 in PS SOC pts on either FIL dose but not to levels of other groups. Percentages of pts attaining DAS28(CRP) ≤3.2, DAS28(CRP) <2.6, CDAI ≤10, and CDAI ≤2.8 were maintained up to W48 for FIL/FIL pts. PBO/FIL and SOC/FIL pts showed similar patterns to ACR responses (Figure 1). Exposure-adjusted incidence rates (EAIRs)/100 pt-years of exposure for treatment-emergent adverse events (TEAE), serious AEs, and serious infection were higher in SOC/FIL pts vs FIL/FIL or PBO/FIL pts, but samples were small and confidence intervals overlapped. There were 5 deaths (Table 1).

Table 1.

EAIRs of TEAEs in LTE, as of June 1, 2020

EAIR (95% CI)FIL200+csD → FIL200+csD n=121PYE 228.4PBO+csD → FIL200+csD n=47PYE 98.1SOC+csD → FIL200+csD n=23PYE 42.1FIL100+csD → FIL100+csD n=110PYE 223.3PBO+csD → FIL100+csD n=46PYE 91.1SOC+csD → FIL100+csD n=22PYE 38.2TEAE46.9 (38.8, 56.6)38.7 (28.2, 53.2)52.2 (34.4, 79.3)40.3 (32.8, 49.5)40.6 (29.4, 56.1)49.8 (31.8, 78.0)TEAE Grade ≥310.5 (7.0, 15.7)10.2 (5.5, 18.9)19.0 (9.5, 38.0)10.3 (6.8, 15.5)13.2 (7.5, 23.2)18.3 (8.7, 38.5)TE serious AE12.3 (8.5, 17.8)12.2 (6.9, 21.5)21.4 (11.1, 41.1)8.1 (5.1, 12.8)13.2 (7.5, 23.2)21.0 (10.5, 41.9)Death1.3 (0.4, 4.1)1.0 (0, 5.7)0 (0, 8.8)0.4 (0.1, 3.2)0 (0, 4.0)0 (0, 9.7)TE infections34.2 (27.4, 42.6)22.4 (14.8, 34.1)35.6 (21.5, 59.1)22.4 (17.0, 29.5)26.3 (17.7, 39.3)39.3 (23.7, 65.2)TE serious infections3.5 (1.8, 7.0)2.0 (0.5, 8.2)7.1 (2.3, 22.1)0.9 (0.2, 3.6)2.2 (0.5, 8.8)7.9 (2.5, 24.4)Opportunistic infections0 (0, 1.6)0 (0, 3.8)0 (0, 8.8)0 (0, 1.7)0 (0, 4.0)0 (0, 9.7)TE herpes zoster2.2 (0.7, 5.1)1.0 (0.1, 7.2)0 (0, 8.8)0 (0, 1.7)2.2 (0.5, 8.8)2.6 (0.1, 14.6)TE MACE (adjudicated)1.3 (0.4, 4.1)1.0 (0.1, 7.2)0 (0, 8.8)0.9 (0.2, 3.6)1.1 (0.2, 7.8)0 (0, 9.7)TE DVT/PE (adjudicated)0.9 (0.2, 3.5)0 (0, 3.8)2.4 (0.1, 13.2)0.4 (0.1, 3.2)0 (0, 4.0)0 (0, 9.7)Malignancies (excluding NMSC)1.3 (0.4, 4.1)3.1 (1.0, 9.5)4.7 (0.6, 17.2)1.8 (0.7, 4.8)3.3 (1.1, 10.2)0 (0, 9.7)NMSC0 (0, 1.6)0 (0, 3.8)4.7 (0.6, 17.2)0 (0, 1.7)0 (0, 4.0)0 (0, 9.7)

DVT, deep vein thrombosis; MACE, major adverse cardiovascular event; NMSC, nonmelanoma skin cancer; PE, pulmonary embolism; TE, treatment-emergent

Conclusion

Efficacy was mostly maintained in PS FIL pts up to W48. Response among PS PBO and SOC pts increased from BL to W48, but response in PS SOC pts continued to be lower than in other groups; these pts may represent a refractory population. FIL safety was largely consistent between PS and LTE.

References

[1]Genovese MC et al. JAMA 2019;322:315–25.

Acknowledgements

This study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Claudine Bitel, PhD, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA.

Disclosure of Interests

Maya H Buch Speakers bureau: AbbVie, Consultant of: AbbVie, Galapagos, Gilead, and Pfizer, Grant/research support from: Gilead and Pfizer, Tsutomu Takeuchi Speakers bureau: AbbVie, AYUMI, Bristol Myers Squibb, Chugai, Daiichi Sankyo, Dainippon Sumitomo, Eisai, Eli Lilly Japan, Gilead Sciences, Mitsubishi-Tanabe, Novartis, Pfizer Japan, and Sanofi, Consultant of: Astellas, Chugai, and Eli Lilly Japan, Grant/research support from: AbbVie, Asahi Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Mitsubishi-Tanabe, Shionogi, Takeda, and UCB Japan, Vijay Rajendran Shareholder of: Galapagos, Employee of: Galapagos, Jacques-Eric Gottenberg Speakers bureau: AbbVie, Eli Lilly and Co., Galapagos, Gilead Sciences, Inc., Roche, Sanofi Genzyme, and UCB, Consultant of: Bristol Myers Squibb, Sanofi Genzyme, and UCB, Grant/research support from: Bristol Myers Squibb and Pfizer, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., YingMeei Tan Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Katrien Van Beneden Shareholder of: Galapagos, Employee of: Galapagos, Roberto Caporali Speakers bureau: AbbVie, Amgen, BMS, Celltrion, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Sandoz, and UCB, Consultant of: AbbVie, Amgen, BMS, Celltrion, Galapagos, Janssen, Lilly, Fresenius-Kabi, MSD, Novartis, Pfizer, Roche, Sandoz, and UCB

POS0663 THE USE OF EXPOSURE-ADJUSTED EVENT RATES VERSUS EXPOSURE-ADJUSTED INCIDENCE RATES IN ADVERSE EVENT REPORTING: INSIGHTS FROM FILGOTINIB INTEGRATED SAFETY DATA IN RHEUMATOID ARTHRITIS

Background

Reporting of treatment-emergent adverse events (TEAEs) in rheumatoid arthritis (RA) clinical trials can be summarized as exposure-adjusted incidence rates (EAIRs) or exposure-adjusted event rates (EAERs). Censored EAIR (EAIR), weighing exposure up to a patient’s first event, is commonly reported; uncensored EAIR (EAIRu), using total exposure time for all patients, can also be used. For EAIR, exposure time can vary by event. In contrast to EAIR(u), the total number of events are used to calculate EAER. The three methods account for different exposures and/or multiple events, which can impact the outcome evaluation. Studies of filgotinib (FIL) in RA1 report safety data as EAIR/100 patient-years of exposure (PYE) for TEAEs, which is uncensored.

Objectives

To describe the outcome of long-term FIL integrated safety data in RA by applying different statistical methodologies: EAER, EAIRu and EAIR.

Methods

Integrated FIL safety data from seven clinical trials were assessed1. Predefined adverse events of special interest (AESI) included serious infections (any), herpes zoster (HZ), major adverse cardiac events (MACE), malignancies (excluding nonmelanoma skin cancer [NMSC]), NMSC and venous thromboembolism (VTE). The number of patients with an event, number of events, EAER, EAIRu and EAIR were summarized. The data extraction date was January 2021 for the DARWIN 3 (NCT02065700) long-term extension (LTE) and November 2020 for the FINCH 4 (NCT03025308) LTE.

Results

In total, 3691 patients received ≥1 FIL dose for 8085 PYE. In this population, 176 serious infections were reported in 137 patients, 125 HZ events were reported in 112 patients, 39 MACE were reported in 33 patients, 20 cases of VTE were reported in 15 patients, 60 malignancies excluding NMSC were reported in 49 patients and 21 cases of NMSC were reported in 20 patients. Within each treatment arm (FIL 200 mg [FIL200], FIL 100 mg [FIL100] or combined FIL), rates for most AESI were similar when reported as EAER, EAIRu or EAIR (Table 1). For serious infections, EAER was higher than EAIRu or EAIR. The total exposure time to first event (censored PYE) was high and comparable to total exposure (PYE) (>2700 years and >5100 years for the total populations in the FIL100 and FIL200 groups, respectively).

Table 1.

Exposure-adjusted event and incidence rates for AESI

FIL200FIL100FIL combinedNumber of patients/PYE2267/5302.51647/2782.63691/8085.1Serious infectionsEAER1.9 (1.5, 2.4)3.2 (2.2, 4.5)2.0 (1.7, 2.4)EAIRu1.5 (1.1, 1.9)2.7 (1.9, 3.9)1.6 (1.3, 2.0)EAIR1.5 (1.2, 1.9)2.8 (1.9, 4.0)1.7 (1.4, 2.0)HZEAER1.6 (1.3, 2.1)1.3 (0.9, 1.8)1.5 (1.2, 1.8)EAIRu1.5 (1.2, 2.0)1.1 (0.8, 1.5)1.4 (1.1, 1.7)EAIR1.6 (1.2, 2.0)1.1 (0.8, 1.6)1.4 (1.1, 1.7)MACEEAER0.3 (0.2, 0.5)0.6 (0.4, 1.0)0.4 (0.3, 0.6)EAIRu0.3 (0.2, 0.5)0.5 (0.3, 0.8)0.4 (0.2, 0.6)EAIR0.3 (0.2, 0.5)0.5 (0.3, 0.9)0.4 (0.2, 0.6)VTEEAER0.3 (0.2, 0.5)0.1 (0.1, 0.4)0.2 (0.2, 0.4)EAIRu0.2 (0.1, 0.4)0.1 (0.1, 0.4)0.2 (0.1, 0.3)EAIR0.2 (0.1, 0.4)0.1 (0.1, 0.4)0.2 (0.1, 0.3)Malignancies excluding NMSCEAER0.8 (0.5, 1.1)0.8 (0.5, 1.2)0.7 (0.2, 2.8)EAIRu0.6 (0.4, 0.9)0.6 (0.4, 1.0)0.6 (0.4, 0.8)EAIR0.6 (0.4, 0.9)0.6 (0.4, 1.0)0.6 (0.4, 0.8)NMSCEAER0.3 (0.2, 0.5)0.2 (0.1, 0.5)0.3 (0.2, 0.4)EAIRu0.3 (0.2, 0.5)0.2 (0.1, 0.4)0.2 (0.2, 0.4)EAIR0.3 (0.2, 0.5)0.2 (0.1, 0.4)0.2 (0.2, 0.4)

Data are rate (95% CI) unless otherwise stated.

Conclusion

These data confirm that using different methods to analyze FIL safety data (EAER, EAIRu, EAIR) does not result in different safety outcomes, reinforcing the previously reported FIL safety profile in patients with RA. As the AESI reported in the long-term safety database with FIL are rare, patients commonly have long exposure times before experiencing an event, which are often associated with end of treatment. As such, EAIRu, EAIR and EAER are similar.

References

[1]Winthrop KL et al. Ann Rheum Dis 2021, doi: 10.1136/annrheumdis-2021-221051.

Acknowledgements

This study was co-funded by Galapagos NV (Mechelen, Belgium) and Gilead Sciences, Inc. (Foster City, CA, USA). Medical writing support was provided by Iain Haslam, PhD (Aspire Scientific Ltd, Bollington, UK), and funded by Galapagos NV.

Disclosure of Interests

Patrick Durez Speakers bureau: AbbVie, Galapagos, and Lilly, Eugen Feist Speakers bureau: AbbVie, Galapagos, Lilly, Novartis, Pfizer, Roche, and Sobi, Consultant of: AbbVie, Galapagos, Lilly, Novartis, Pfizer, Roche, and Sobi, Grant/research support from: Lilly, Pfizer, and Roche, Ricardo Blanco Speakers bureau: AbbVie, Amgen, Bristol-Myers, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, and Sanofi, Consultant of: Astra-Zeneca, Galapagos, Janssen, Novartis, and Pfizer, Grant/research support from: AbbVie and Roche, Vijay Rajendran Employee of: Galapagos, Nadia Verbruggen Employee of: Galapagos, Katrien Van Beneden Shareholder of: Galapagos, Employee of: Galapagos, James Galloway Speakers bureau: AbbVie, Biogen, Galapagos, Gilead, Janssen, Lilly, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Galapagos, Gilead, Janssen, Lilly, Novartis, and Pfizer, Grant/research support from: Astra-Zeneca, Celgene, Gilead, Janssen, Medicago, Novavax, and Pfizer

POS0679 CLINICAL OUTCOMES UP TO WEEK (W) 48 IN THE ONGOING FILGOTINIB (FIL) LONG-TERM EXTENSION (LTE) TRIAL OF RHEUMATOID ARTHRITIS (RA) PATIENTS (pts) WITH INADEQUATE RESPONSE (IR) TO METHOTREXATE (MTX) INITIALLY TREATED WITH FIL OR ADALIMUMAB (ADA) DURING THE PHASE 3 PARENT STUDY (PS)

Background

The preferential Janus kinase-1 inhibitor FIL is approved for treatment of moderate to severe active RA in Europe and Japan.

Objectives

Efficacy and safety of FIL were assessed in pts with IR to MTX who completed a Phase 3 trial (NCT02889796)1 and enrolled in an LTE (NCT03025308).

Methods

Pts completing the PS1 on study drug were eligible to enter the LTE (data cutoff: June 1, 2020). Median exposure: 2.2 years (y). Efficacy data to W48 are reported for 4 treatment groups (all with background MTX): pts receiving FIL 200 mg (FIL200) or FIL 100 mg (FIL100) in the PS and continuing their dose in LTE (FIL200/FIL200, FIL100/FIL100) and ADA pts rerandomized, double blind, to FIL200 or FIL100 for LTE (ADA/FIL200, ADA/FIL100); safety data are reported.

Results

As of June 1, 2020, 522/571 (91%) FIL200/FIL200, 502/570 (88%) FIL100/FIL100, 118/128 (92%) ADA/FIL200, and 115/130 (89%) ADA/FIL100 pts remained on study drug. LTE baseline disease characteristics were similar between groups: mean duration of RA approximately 8.7 y; DAS28(CRP) 2.55, and mean concurrent MTX dosage was 15.0 mg/week. Proportions of pts achieving ACR20/50/70, DAS28(CRP) ≤3.2, <2.6, and CDAI ≤10, ≤2.8 were generally maintained in all LTE groups through W48 (Figure 1). Numerically greater proportions of pts met response criteria at W48 in the FIL200 groups vs FIL100, regardless of PS treatment. Treatment-emergent AEs (TEAE), serious AEs, and AEs Grade ≥3 were largely comparable between groups and lowest in ADA/FIL100. There were 10 deaths (Table 1). Exposure-adjusted incidence rates (EAIRs)/100 pt-y of exposure for deaths were lower for FIL/FIL vs ADA/FIL.

Table 1.

EAIRs of TEAEs in LTE, as of June 1, 2020

1TEAE, n (%)3FIL200+MTX → FIL200+MTX6ADA+MTX → FIL200+MTX9FIL100+MTX → FIL100+MTX12ADA+MTX → FIL100+MTX2EAIR (95% CI)4n=5717n=12810n=57013n=1305PYE=859.48PYE=197.811PYE=852.314PYE=192.6TEAE429 (75.1)91 (71.1)443 (77.7)88 (67.7)49.9 (45.4, 54.9)46.0 (37.5, 56.5)52.0 (47.4, 57.0)45.7 (37.1, 56.3)TEAE Grade ≥364 (11.2)15 (11.7)72 (12.6)7 (5.4)7.4 (5.8, 9.5)7.6 (4.6, 12.6)8.4 (6.7, 10.6)3.6 (1.7, 7.6)TE serious AE52 (9.1)13 (10.2)60 (10.5)9 (6.9)6.1 (4.6, 7.9)6.6 (3.8, 11.3)7.0 (5.5, 9.1)4.7 (2.4, 9.0)Death3 (0.5)2 (1.6)3 (0.5)2 (1.5)0.3 (0.1, 1.1)1.0 (0.3, 4.0)0.4 (0.1, 1.1)1.0 (0.3, 4.2)TE infections243 (42.6)52 (40.6)249 (43.7)43 (33.1)28.3 (24.9, 32.1)26.3 (20.0, 34.5)29.2 (25.8, 33.1)22.3 (16.6, 30.1)TE serious infections7 (1.2)2 (1.6)13 (2.3)1 (0.8)0.8 (0.4, 1.7)1.0 (0.3, 4.0)1.5 (0.9, 2.6)0.5 (0.1, 3.7)Opportunistic infections2 (0.4)02 (0.4)00.2 (0, 0.8)0 (0, 1.9)0.2 (0, 0.8)0 (0, 1.9)TE herpes zoster16 (2.8)5 (3.9)13 (2.3)1 (0.8)1.9 (1.1, 3.0)2.5 (1.1,6.1)1.5 (0.9, 2.6)0.5 (0.1, 3.7)TE MACE (adjudicated)1 (0.2)03 (0.5)3 (2.3)01 (0, 0.6)0 (0, 1.9)0.4 (0.1, 1.1)1.6 (0.5, 4.8)TE DVT/PE (adjudicated)3 (0.5)03 (0.5)00.3 (0.1, 1.0)0 (0, 1.9)0.4 (0.1, 1.0)0 (0, 1.9)Malignancies (excluding NMSC)5 (0.9)3 (2.3)4 (0.7)00.6 (0.2, 1.4)1.5 (0.5, 4.7)0.5 (0.1, 1.2)0 (0, 1.9)NMSC3 (0.5)02 (0.4)00.3 (0.1, 1.0)0 (0, 1.9)0.2 (0, 0.8)0 (0, 1.9)

DVT, deep vein thrombosis; MACE, major adverse cardiovascular event; NMSC, nonmelanoma skin cancer; PE, pulmonary embolism; TE, treatment-emergent

Figure 1.

Conclusion

During the LTE through W48, response rates generally were maintained for FIL/FIL and ADA/FIL pts. Though there were differences between LTE groups, safety was largely comparable and consistent with PS observations1 and previously reported results from 7 trials2: rates of AEs of special interest were low; all confidence intervals were overlapping. Limitation: the LTE was not formally randomized for comparison between FIL/FIL and ADA/FIL treatment groups, the groups were of unequal size, and the switch from ADA to FIL for LTE was by design, rather than based on disease activity.

References

[1]Combe B et al. Ann Rheum Dis 2021;80:848–58.

[2]Winthrop K et al. Arthritis Rheumatol 2020;72(suppl 10); abstract 0229.

Acknowledgements

This study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Claudine Bitel, PhD, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA.

Disclosure of Interests

Bernard Combe Speakers bureau: BMS, Eli Lilly & Co., Gilead Sciences, Inc., MSD, Pfizer, Roche-Chugai, and UCB, Consultant of: AbbVie, Eli Lilly & Co., Gilead Sciences, Inc., Janssen, Pfizer, Roche-Chugai, and Sanofi, Grant/research support from: Novartis, Pfizer, and Roche-Chugai, Yoshiya Tanaka Speakers bureau: AbbVie, Asahi-Kasei, Astellas, Bristol-Myers, Chugai, Daiichi- Sankyo, Eli Lilly, Eisai, Gilead, GSK, Janssen, Mitsubishi-Tanabe, Novartis, Pfizer, Sanofi, and YL Biologics, Consultant of: AbbVie, Ayumi, Daiichi- Sankyo, Eli Lilly, GSK, Sanofi, and Taisho, Grant/research support from: AbbVie, Asahi-Kasei, Chugai, Daiichi-Sankyo, Eisai, Mitsubishi-Tanabe, and Takeda, Paul Emery Consultant of: AbbVie, BMS, Celltrion, Gilead, Lilly, Novartis, Roche, Samsung, and Sandoz, Grant/research support from: AbbVie, BMS, Lilly, and Samsung, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Albert Kuo Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Katrien Van Beneden Shareholder of: Galapagos NV, Employee of: Galapagos NV, Vijay Rajendran Shareholder of: Galapagos NV, Employee of: Galapagos NV, Hendrik Schulze-Koops Speakers bureau: AbbVie, Amgen, BMS, Celgene, Celltrion, Chugai, Gilead, Janssen, Eli Lilly and Company, Merck Sharp & Dohme, Novartis-Sandoz, Pfizer, Roche, and Sanofi, Consultant of: AbbVie, Amgen, BMS, Celgene, Celltrion, Chugai, Gilead, Janssen, Eli Lilly and Company, Merck Sharp & Dohme, Novartis-Sandoz, Pfizer, Roche, and Sanofi, Grant/research support from: AbbVie and Novartis

POS0513 SAFETY OF FILGOTINIB IN PATIENTS WITH RHEUMATOID ARTHRITIS: ANALYSIS OF LYMPHOCYTES IN THE LONG-TERM EXTENSION FINCH 4 STUDY

Background

Filgotinib (FIL) is a Janus kinase 1 preferential inhibitor approved for the treatment of moderate to severe rheumatoid arthritis (RA) in patients (pts) with an inadequate response to disease-modifying antirheumatic drugs.1 In a pooled analysis of Phase 3 FINCH 1–3 studies of FIL in RA, median lymphocyte levels were relatively stable over 1 year with lymphocyte decreases observed in individual FIL-treated pts. Lymphocyte levels should be monitored.1

Objectives

To assess the effect of FIL on lymphocyte levels and lymphopenia in the FINCH 4 long-term extension (LTE) study in RA.

Methods

Safety data of FIL 100 mg (FIL100) and 200 mg (FIL200) from LTE baseline to data cut off (01 June 2020) are reported overall and by prior FIL exposure for pts who received ≥1 FIL dose in FINCH 4 (NCT03025308; adults with RA who had completed FINCH 1/2/3). Adverse events (AEs) of lymphopenia were graded based on clinical severity; laboratory abnormalities (decreased lymphocytes) were graded per Common Terminology Criteria for Adverse Events v4.03 (CTCAE). Frequencies of both measures and exposure-adjusted incidence rates (EAIRs) of AEs are reported. Median lymphocyte levels are reported to LTE Week 48.

Results

The safety analysis set included 2729 pts (FIL200: n=1530; FIL100: n=1199). Of these, 75.4% (n=2058) had prior FIL exposure in FINCH 1/2/3. Median FIL exposure to LTE Week 48 was 600 (FIL200: 696; FIL100: 533) days.

In both treatment groups, median laboratory lymphocyte levels remained relatively stable to LTE Week 48 for pts with prior FIL exposure. Pts without prior exposure had numerically higher median lymphocyte levels at LTE baseline vs pts with prior exposure (Figure 1). These decreased over time, but medians remained within normal range. The frequency and EAIR of graded decreases in laboratory lymphocyte levels were higher with FIL200 vs FIL100 (Table 1); incidence was slightly higher in pts with vs without prior FIL exposure, with the difference most apparent for Grade 2 decreases.

Table 1.

Frequencies of treatment-emergent laboratory decreases in lymphocytes

Prior FIL exposureNo prior FIL exposureOverallTotalFIL200FIL100FIL200FIL100FIL200FIL100(N=2729)(n=1195)(n=863)(n=335)(n=336)(n=1530)(n=1199)Decreased lymphocytes228 (19.1)125 (14.5)41 (12.3)40 (12.0)269 (17.6)165 (13.8)434 (16.0)(any grade), n (%)Grade 148 (4.0)35 (4.1)14 (4.2)7 (2.1)62 (4.1)42 (3.5)104 (3.8)Grade 2159 (13.3)82 (9.5)21 (6.3)26 (7.8)180 (11.8)108 (9.1)288 (10.6)Grade 321 (1.8)8 (0.9)6 (1.8)7 (2.1)27 (1.8)15 (1.3)42 (1.5)Grade 40000000

A treatment-emergent laboratory decrease in lymphocytes was defined as an increase of ≥1 toxicity grade from baseline at any time post-baseline up to and including the date of last study drug dose + 30 days. Severity grades were defined per CTCAE (lower limit of normal: <0.8 × 109/L [Grade 1]; <0.8–0.5 × 109/L [2]; <0.5–0.2 × 109/L [3]; <0.2 × 109/L [4]).

Figure 1.

Of all pts receiving FIL, 43 (1.6%) reported a lymphopenia AE; frequencies and EAIRs of lymphopenia AEs were slightly higher with FIL200 (1.9%; EAIR [95% CI]: 1.2 [0.9–1.8]) vs FIL100 (1.2%; 0.8 [0.4–1.3]). Most were Grade 1 or 2 in severity. Grade 3 lymphopenia AEs occurred in 4 (0.3%) vs 1 (<0.1%) pts receiving FIL200 vs FIL100. There were no Grade 4 AEs in either group.

No serious AEs of lymphopenia or treatment discontinuations due to lymphopenia were reported. In total, 8 (0.3%) pts interrupted study treatment due to lymphopenia. Infection rates, but not serious infections, were slightly higher for pts with lymphopenia, however no relationship between lymphopenia severity and infection AE grade was seen.

Conclusion

In FINCH 4, lymphopenia AEs were infrequent but numerically greater with FIL200 vs FIL100, suggesting a dose–response relationship. While exposure at either dose may be associated with decreased lymphocytes, median lymphocyte levels were comparable in both groups and all remained within normal range at LTE Week 48, similar to observations in FINCH 1–3.

References

[1]Filgotinib SmPC and Jyseleca EPAR, 2020. Available at: https://www.ema.europa.eu/en

Acknowledgements

The authors would like to acknowledge Nadia Verbruggen and Pieter-Jan Stiers for providing statistical analysis support. This study was co-funded by Galapagos NV (Mechelen, Belgium) and Gilead Sciences, Inc. (Foster City, CA, USA). Medical writing support was provided by Kristian Clausen, MPH, CMPP (Aspire Scientific Ltd, Bollington, UK), and funded by Galapagos NV.

Disclosure of Interests

Jacques-Eric Gottenberg Consultant of: AbbVie, Bristol Myers Squibb, Galapagos, Gilead, Lilly, and Pfizer, Grant/research support from: Bristol Myers Squibb, and Pfizer, Gerd Rüdiger Burmester Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Galapagos, Lilly, MSD, Pfizer, Roche, and Sanofi, Katrien Van Beneden Shareholder of: Galapagos NV, Employee of: Galapagos NV, Chris Watson Shareholder of: Galapagos Biotech Ltd, Employee of: Galapagos Biotech Ltd, Ineke Seghers Employee of: Galapagos NV, Vijay Rajendran Employee of: Galapagos NV, Lorenzo Dagna Consultant of: AbbVie, Amgen, AstraZeneca, Biogen, Boehringer-Ingelheim, Bristol Myers Squibb, Celltrion, Eli Lilly and Company, Galapagos, GlaxoSmithKline, Janssen, Kiniksa Pharmaceuticals, Novartis, Pfizer, Roche, Sanofi-Genzyme, and Swedish Orphan Biovitrium (SOBI), Grant/research support from: Bristol Myers Squibb, Celltrion, Kiniksa Pharmaceuticals, Pfizer, and Swedish Orphan Biovitrium (SOBI), Maya H Buch Speakers bureau: Speaker fees paid to host institution by AbbVie, Consultant of: Consultant honoraria paid to host institution by AbbVie, Galapagos, Gilead, and Pfizer, Grant/research support from: Gilead and Pfizer.

POS0664 RADIOGRAPHIC CHANGE IN PATIENTS WITH RHEUMATOID ARTHRITIS AND ESTIMATED BASELINE YEARLY PROGRESSION ≥5 OR <5: POST HOC ANALYSIS OF TWO PHASE 3 TRIALS OF FILGOTINIB

Background

In some patients (pts) with rheumatoid arthritis (RA), especially those with joint damage early in the disease, first-line methotrexate (MTX) treatment may not suffice to prevent further rapid radiographic progression (RRP).1 In FINCH 1 (NCT02889796), filgotinib 200 mg (FIL200) and 100 mg (FIL100) reduced change in modified total Sharp score (mTSS) vs placebo (PBO) in pts with RA and inadequate response to MTX (MTX-IR).2 In FINCH 3 (NCT02886728), FIL200 and FIL100 reduced change in mTSS vs MTX monotherapy (MTX mono) in MTX-naïve pts.3

Objectives

To evaluate, via post hoc analysis of 2 trials, filgotinib’s effects on radiographic progression vs MTX mono in pts with estimated baseline (BL) yearly progression ≥5 or <5 mTSS units/year.

Methods

The double-blind 52-week (W) FINCH 1 study randomised MTX-IR pts with moderate–severe active RA to FIL200 or FIL100, subcutaneous adalimumab (ADA) 40 mg, or PBO; at W24, PBO pts were rerandomised blinded to FIL200 or FIL100; all took stable background MTX.2 In FINCH 3, MTX-naïve pts were randomised, blinded, to FIL200 + MTX, FIL100 + MTX, FIL200 alone, or MTX mono for up to W52.3 This analysis examined subgroups by estimated BL yearly progression (BL mTSS/duration in years of RA diagnosis), based on ≥5 or <5 mTSS units/year,4 a threshold commonly used to define RRP. We assessed effects of filgotinib vs ADA or PBO in mTSS change from BL (CFB) at W24/W52 (using a mixed model for repeated measures) and percentages with no W24 progression (mTSS change ≤0, ≤0.5, ≤smallest detectable change [SDC], using Fisher’s exact test).

Results

At BL, 558/1755 MTX-IR and 787/1249 MTX-naïve pts had BL estimated yearly progression ≥5. Median mTSS in pts with BL yearly progression ≥5 and <5 was 53.25 vs 5.00 respectively in the MTX-IR trial and 6.00 vs 2.50 in the MTX-naïve trial. At W24, the mTSS CFB in pts with BL yearly progression ≥5 and <5 was 0.84 and 0.22 in MTX-IR pts taking PBO + MTX, and 0.67 and 0.25 in MTX-naïve pts taking MTX mono. At W52, in pts with BL yearly progression ≥5, FIL200 + MTX reduced mTSS change vs PBO + MTX in the MTX-IR trial and vs MTX mono in the MTX-naïve trial (Figure 1). At W24, among pts with estimated BL yearly progression ≥5, FIL200 + MTX increased odds of no progression (≤0.5 or ≤0) vs PBO + MTX in MTX-IR pts and vs MTX mono in MTX-naïve pts (Table 1).

Table 1.

Ratio of no radiographic progression at W24

FINCH 1: MTX-IRFIL200 + MTXFIL100 + MTXADA + MTXPBO + MTXBL yearly progression≥5(n = 138)<5(n = 267)≥5(n = 139)<5(n = 265)≥5(n = 91)<5(n = 180)≥5(n = 101)<5(n = 250)% with no progression (≤0.5)87.797.088.592.587.993.976.291.6OR2.22*2.97*2.40*1.12††††% with no progression (≤0)80.491.881.388.380.289.467.386.4OR2.00*1.752.11*1.19††††% with no progression (≤SDC [1.36])91.398.192.196.692.395.681.294.0OR2.43*3.35*2.70*1.82††††FINCH 3: MTX-naïveFIL200 + MTXFIL100 + MTXFIL200 monoMTXBL yearly progression≥5<5≥5<5≥5<5≥5<5(n = 221)(n = 134)(n = 121)(n = 63)(n = 115)(n = 58)(n = 224)(n = 132)% with no progression (≤0.5)86.994.083.593.789.689.778.687.9OR1.81*2.171.382.032.34*1.20††% with no progression (≤0)78.783.672.784.180.087.967.980.3OR1.75*1.251.261.31.89*1.79††% with no progression (≤SDC [1.53])93.797.891.796.895.796.689.395.5OR1.772.081.331.452.641.33††

MTX-IR ORs are FIL vs PBO + MTX; MTX-naïve are FIL vs MTX. *Nominal P<.05. †Not applicable.

ADA, adalimumab; FIL, filgotinib; IR, inadequate response; mTSS, modified total Sharp score; MTX, methotrexate; OR, odds ratio; SDC, smallest detectable change; W, week.

Conclusion

These data suggest filgotinib’s inhibition of radiographic progression was numerically greater than MTX monotherapy in RA pts with high estimated BL yearly progression. In those with a more moderate estimated rate of progression, filgotinib suppressed progression comparably to ADA and/or MTX.

References

[1]Smolen J et al. Ann Rheum Dis 2018;77:1566–1572.

[2]Combe B et al. Ann Rheum Dis 2021;80:848–858.

[3]Westhovens R et al. Ann Rheum Dis 2021;80:727–738.

[4]Vastesaeger N et al. Rheumatology. 2009;48:1114–1121.

Acknowledgements

This study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Rob Coover, MPH, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA. Funding for this analysis was provided by Gilead Sciences, Inc. The sponsors participated in the planning, execution, and interpretation of the research.

Disclosure of Interests

Yoshiya Tanaka Speakers bureau: AbbVie, Amgen, Astellas, AstraZeneca, Behringer-Ingelheim, Bristol-Myers Squibb, Chugai, Eisai, Eli Lilly, Gilead, Mitsubishi-Tanabe, and YL Biologics, Grant/research support from: AbbVie, Asahi-Kasei, Boehringer-Ingelheim, Chugai, Corrona, Daiichi Sankyo, Eisai, Kowa, Mitsubishi-Tanabe, and Takeda, Tatsuya Atsumi Paid instructor for: Gilead Sciences, Inc.; Mitsubishi Tanabe; Chugai; Astellas Pharma; Takeda; Pfizer; AbbVie: Eisai; Daiichi Sankyo; Bristol-Myers Squibb; UCB Japan Co. Ltd.; Eli Lilly Japan K.K., Otsuka Pharmaceutical Co., Ltd.; and Alexion Inc., Grant/research support from: Gilead Sciences, Inc.; Mitsubishi Tanabe; Chugai; Astellas Pharma; Takeda; Pfizer; AbbVie: Eisai; Daiichi Sankyo; Bristol-Myers Squibb; UCB Japan Co. Ltd.; Eli Lilly Japan K.K., Otsuka Pharmaceutical Co., Ltd.; and Alexion Inc., Daniel Aletaha Speakers bureau: AbbVie; Amgen; Celgene; Eli Lilly; Medac; Merck; Novartis; Pfizer; Roche; Sandoz; and Sanofi/Genzyme; Bristol-Myers Squibb, Merck Sharp & Dohme, and UCB, Consultant of: Janssen; AbbVie; Amgen; Celgene; Eli Lilly; Medac; Merck; Novartis; Pfizer; Roche; Sandoz; and Sanofi/Genzyme, Grant/research support from: AbbVie, Merck Sharp & Dohme, Novartis, and Roche, Robert B.M. Landewé Paid instructor for: AbbVie, AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Galapagos NV, Novartis, Pfizer, and UCB, Consultant of: AbbVie, AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Galapagos NV, Novartis, Pfizer, and UCB, Beatrix Bartok Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Zhaoyu Yin Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Ling Han Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Kahaku Emoto Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences K.K., Shungo Kano Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences K.K., Vijay Rajendran Employee of: Galapagos BV, Tsutomu Takeuchi Speakers bureau: AbbVie, Ayumi Pharmaceutical Corporation, Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Dainippon Sumitomo Eisai, Eli Lilly Japan, Mitsubishi-Tanabe, Novartis, Pfizer Japan, Sanofi, and Gilead Sciences, Inc., Consultant of: Astellas, Chugai, and Eli Lilly Japan, Grant/research support from: AbbVie, Asahi Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Mitsubishi-Tanabe, Shionogi, Takeda, and UCB Japan

Case Reports of Two Interesting Patients with Sea Snake Envenomation

Sea Snakes have the most potent venom among snakes known to mankind and a few species are implicated in human fatalities.1 Commonest Sea snake in the Indian Sea is Enhydrina Schistosa.2 Mortality is high in spite of therapy because of multiple complications. This is a Case report of two Fishermen who were bitten by Sea Snake and developed complications.

Mechanisms involved in AMPK-mediated deposition of tight junction components to the plasma membrane

AMP-activated protein kinase (AMPK) activation promotes early stages of epithelial junction assembly. AMPK activation in MDCK renal epithelial cells facilitates localization of the junction-associated proteins aPKCζ and Par3 to the plasma membrane and promotes conversion of Cdc42, a key regulator of epithelial polarization and junction assembly, to its active GTP bound state. Furthermore, Par3 is an important regulator of AMPK-mediated aPKCζ localization. Both aPKCζ and Par3 serve as intermediates in AMPK-mediated junction assembly, with inhibition of aPKCζ activity or Par3 knockdown disrupting AMPK's ability to facilitate zonula occludens (ZO-1) localization. AMPK phosphorylates the adherens junction protein afadin and regulates its interaction with the tight-junction protein zonula occludens-1. Afadin is phosphorylated at two critical sites, S228 (residing within an aPKCζ consensus site) and S1102 (residing within an AMPK consensus site), that are differentially regulated during junction assembly and that exert different effects on the process. Expression of phospho-defective mutants (S228A and S1102A) perturbed ZO-1 localization to the plasma membrane during AMPK-induced junction assembly. Expression of S228A increased the ZO-1/afadin interaction, while S1102A reduced this interaction during extracellular calcium-induced junction assembly. Inhibition of aPKCζ activity also increased the ZO-1/afadin interaction. Taken together, these data suggest that aPKCζ phosphorylation of afadin terminates the ZO-1/afadin interaction and thus permits the later stages of junction assembly.

A sensitive refining of in vitro and in vivo toxicological behavior of green synthesized ZnO nanoparticles from the shells of Jatropha curcas for multifunctional biomaterials development

ZnO nanoparticles (NPs) possess a wide range of biological functions in pharmaceutical and cosmetic applications due to their excellent antimicrobial, optical and UV protective properties. This study first reports the toxicological assessment of ZnO NPs green synthesized from Jatropha curcas shells for multifunctional biomedical applications. The hot water extract of J.curcas shells is utilized as a chelating agent for the reduction of zinc acetate and then, the prepared ZnO NPs are broadly characterized using X-ray spectroscopic and electron microscopic observations. The prepared ZnO NPs acquire high purity (100%) wurtzite crystal with hexagonal structure with the average particle size of 53 nm. In vitro and in vivo toxicity evaluation against human tumor cell lines and zebrafish embryos have ascertained the purpose of ZnO NPs in clinical research. Toxic effects of ZnO NPs were observed by a dose-dependent reduction of bacterial growth at ≥1   μg ml^-1, by teratogenicity and genotoxicity in zebrafish embryos (from 3 to 90 μg ml^-1) and by a significant nanoparticle uptake (0.5 ng μl^-1) by a fish serum. In contrast, ZnO NPs fail to reduce the proliferation of human bladder tumor cells (UC6) and cell viability of A549 cells in vitro up to 500 μg ml^-1. All these observations limit the unobstructed application of ZnO NPs at higher concentrations. Thus, abundantly used metal oxide nanoparticles like ZnO NPs examined in our present study in different animal models under in vitro and in vivo conditions will be the significant screening strategy to determine the nanotoxicity.

Newly synthesized polycystin-1 takes different trafficking pathways to the apical and ciliary membranes

Mutations in the genes encoding polycystin-1 (PC1) and polycystin 2 (PC2) cause autosomal dominant polycystic kidney disease. These transmembrane proteins colocalize in the primary cilia of renal epithelial cells, where they may participate in sensory processes. PC1 is also found in the apical membrane when expressed in cultured epithelial cells. PC1 undergoes autocatalytic cleavage, producing an extracellular N-terminal fragment that remains noncovalently attached to the transmembrane C-terminus. Exposing cells to alkaline solutions elutes the N-terminal fragment while the C-terminal fragment is retained in the cell membrane. Utilizing this observation, we developed a "strip-recovery" synchronization protocol to study PC1 trafficking in polarized LLC-PK1 renal epithelial cells. Following alkaline strip, a new cohort of PC1 repopulates the cilia within 30 minutes, while apical delivery of PC1 was not detectable until 3 hours. Brefeldin A (BFA) blocked apical PC1 delivery, while ciliary delivery of PC1 was BFA insensitive. Incubating cells at 20°C to block trafficking out of the trans-Golgi network also inhibits apical but not ciliary delivery. These results suggest that newly synthesized PC1 takes distinct pathways to the ciliary and apical membranes. Ciliary PC1 appears to by-pass BFA sensitive Golgi compartments, while apical delivery of PC1 traverses these compartments.

Pattern Recognition and Size Prediction of Microcalcification Based on Physical Characteristics by Using Digital Mammogram Images

Breast cancer is one of the life-threatening cancers occurring in women. In recent years, from the surveys provided by various medical organizations, it has become clear that the mortality rate of females is increasing owing to the late detection of breast cancer. Therefore, an automated algorithm is needed to identify the early occurrence of microcalcification, which would assist radiologists and physicians in reducing the false predictions via image processing techniques. In this work, we propose a new algorithm to detect the pattern of a microcalcification by calculating its physical characteristics. The considered physical characteristics are the reflection coefficient and mass density of the binned digital mammogram image. The calculation of physical characteristics doubly confirms the presence of malignant microcalcification. Subsequently, by interpolating the physical characteristics via thresholding and mapping techniques, a three-dimensional (3D) projection of the region of interest (RoI) is obtained in terms of the distance in millimeter. The size of a microcalcification is determined using this 3D-projected view. This algorithm is verified with 100 abnormal mammogram images showing microcalcification and 10 normal mammogram images. In addition to the size calculation, the proposed algorithm acts as a good classifier that is used to classify the considered input image as normal or abnormal with the help of only two physical characteristics. This proposed algorithm exhibits a classification accuracy of 99%.

Synthesis and Characterisation of Nanocomposites of TiO₂ and MgAl₂O₄ for Gas Sensing Applications

In this study, a conventional mixed oxide method was used to prepare nanocomposites of titanium dioxide and magnesium aluminate samples. The synthesis process of a low concentration of posttransition metal oxide like TiO2 with pre-transition metal oxides like MgO and Al₂O3 and its gas sensing behaviour were investigated. The present work focuses on applying different nanocomposite samples of (TiO2) x and MgAl₂O₄ (at x = 0 magnesium aluminate namely MA; x = 0°25 and 0.75 N namely MAT0.25 and MAT0.75 at 4 and 10 wt% of TiO2 in MgAl₂O₄ respectively and TiO₂ namely T) for gas sensing applications (O₂, CO and H₂ gases). The composite samples were characterized by their X-ray diffraction pattern, Fourier transform infrared spectroscopy, a particle size analyzer, X-ray fluorescent spectroscopy, scanning electron microscopy, ultraviolet visible spectroscopy, and Brunauer–Emmett–Teller methods. The response to changes in gas pressure (from 0.5 to 2 bar) was quantitatively studied in all samples (MA, MAT0.25, MAT0.75 and T) at different operating temperatures from 300 to 600 K. All samples showed a fast and improved gas response at different operating temperatures. Moreover, it was observed that the gas response of the composite sample, MAT0.75 increased by 11% more than the pure titanium sample at an operating temperature of 360 K, on the passage of O₂ gas.

Sensitivity and Response of Polyvinyl Alcohol/Tin Oxide Nanocomposite Multilayer Thin Film Sensors

Nanocrystalline Tin Oxide (SnO₂) is Non-Stoichiometric in Nature with Functional Properties Suitable for gas sensing. In this study, SnO₂nanoparticles were prepared by the sol-gel technique, which were then characterised using X-ray diffraction. The nanoparticles showed tetragonal structure with an average crystallite size of 18 nm. The stretching and vibration modes of SnO₂were confirmed using Fourier transform infrared spectroscopy. The size of SnO₂ nanoparticles was determined using particle size analyser, which was found be 60 ± 10 nm on average. The surface morphology of the nanoparticles was investigated using scanning electron microscope, which showed irregular-sized agglomerated SnO₂nanostructures. In addition, primary particle size was evaluated using high-resolution transmission electron microscopy, which was found to be 50 nm on average. The polyvinyl alcohol/SnO₂ composite thin film was prepared on a glass substrate using spin-coating method. The values of band gap energy and electrical conductance of 13-layer thin film were found to be 2.96 eV and 0.0505 mho, respectively. Sulfur dioxide (SO₂) was suitably tailored to verify the sensor response over a concentration range of 10-70 ppm at room temperature. The performance, response, and recovery time of sensors were increased by increasing the layers of the thin film.

Atypical Bronchial Carcinoid Masquerading as Bronchial Asthma

A case study of 35-year-old woman with persistent breathlessness and wheezing that had been unsuccessfully treated with inhaled beta 2-agonists and steroids for about two years. Patient developed dry cough and haemoptysis, so investigated further. Spirometry demonstrated a restrictive pattern. Chest CT demonstrated well defined hyperdense lesion in right middle lobe. Biopsy taken from the mass during bronchoscopy demonstrated the picture of atypical bronchial carcinoid. In this case, due to the lack of awareness, diagnosis of carcinoid was delayed by two years.

Investigation Into Gas-Sensing Mechanism of Nanostructured Magnesium Aluminate as a Function of Temperature

In this study, we used a new simple chemical method to synthesise nanostructured magnesium aluminate (NMA) powder. Sol-gel technique followed by sonication was used to develop different sensor samples namely NMA573, NMA873, and NMA1 073 by calcination at temperatures of 573, 873, and 1073 K respectively. Average crystallite size of 18-27 nm and specific surface area of 68.09 to 61.84 m2 g(-1) was obtained for the sensor samples. The existence of functional groups at 800 and 550 cm-1 corresponding respectively to AIO6 group and the lattice vibration of MgO4 stretching were confirmed through FTIR studies; SEM/EDX confirm the spherical morphology with elemental composition Mg, Al and O at different calcination temperatures. UV-Vis absorption spectra show band gap energy as 3.50, 3.48, and 3.44 eV for the sensor samples NMA573, NMA873, and NMA1 073 respectively. The effect of polyethylene glycol on the gas-sensing behaviour was studied in all the sensor samples. In particular, NMA1073 was found to have better resistance and sensor response for CO gas than NMA573 and NMA873. The effect of increase in calcination temperature of the sensor samples on the structural, morphological, optical, and gas response properties were carried out extensively to explore its gas sensing applications.

Mg-Doped Hydroxyapatite/Chitosan Composite Coated 316L Stainless Steel Implants for Biomedical Applications

In this investigation, ultrasonication process was used for the synthesis of magnesium doped nano-hydroxyapatite (MH) (0, 1, 2, and 3 mol% of Mg concentration) particles with controlled size and surface morphology. The size of the prepared MH particles was in the range of 20-100 nm with narrow distribution. Increase in the concentration of Mg reduced the particle size distribution from 60 to 40 nm. On incorporation of Mg in HAp lattice, an increase of 20-66 nm in specific surface area was observed in microporous HAp particles. XRF and XRD patterns reveal that the particles possess stoichiometric composition with reduced crystallinity with respect to the Mg concentration. Surface morphology of MH/chitosan (CTS) coated implant was found to be uniform without any defects. The corrosion rate of the implant decreased with increase in Mg concentration. The in vitro formation of bonelike apatite layer on the surface of the MH/CTS coated implant was observed from simulated body fluid studies. The antimicrobial activity of the MH/CTS composites against gram-positive and gram-negative bacterial strains indicated that increasing Mg concentration enhanced antimicrobial properties. Nanoindentation analysis of apatite coated implant surface reveals that the mechanical property depends on the concentration of magnesium in HAp. From the cytotoxicity analysis against NIH 3T3 fibroblast, it was observed that the Mg incorporated HAp/CTS composite was less toxic than the MHO/CTS composite. From this result, it was concluded that the MH/CTS nanocomposites coated implant is the excellent material for implants.

Rambutan peels promoted biomimetic synthesis of bioinspired zinc oxide nanochains for biomedical applications

A naturally occurring rambutan peel waste was employed to synthesis bioinspired zinc oxide nanochains. Rambutan peels has the ability of ligating zinc ions as a natural ligation agent resulting in zinc oxide nanochains formation due to its extended polyphenolic system over incubation period. Successful formation of zinc oxide nanochains was confirmed employing transmission electron microscopy studies. About 60% and ∼40% cell viability was lost and 50% and 10% morphological change was observed in 7 and 4 days incubated ZnO treated cells compared with control. Moreover, 50% and 55% of cell death was observed at 24 and 48 h incubation with 7 days treated ZnO cells and hence alters and disturbs the growth of cancer cells and could be used for liver cancer cell treatment.

In vitro gene expression and preliminary in vivo studies of temperature-dependent titania–graphene nanocomposites for bone replacement applications

To meet the demand for biomaterials due to increasing bone defects and damage, we sought to synthesize titania–graphene nanocomposites at different sintering temperatures and then optimize them to explore their potential applications in biomaterials.

In vivo cytotoxicity of MgO-doped nanobioactive glass particles and their anticorrosive coating on Ti–6Al–4V and SS304 implants for high load-bearing applications

Magnesium-doped NBG composites (SiO₂–CaO–P₂O₅–MgO) coated implant is found to be a potential nanocomposite for high load-bearing applications with better anticorrosive property and long-term stability.

Activation of the Ca²+-sensing receptor induces deposition of tight junction components to the epithelial cell plasma membrane

The Ca(2+)-sensing receptor (CaSR) belongs to the G-protein-coupled receptor superfamily and plays essential roles in divalent ion homeostasis and cell differentiation. Because extracellular Ca(2+) is essential for the development of stable epithelial tight junctions (TJs), we hypothesized that the CaSR participates in regulating TJ assembly. We first assessed the expression of the CaSR in Madin-Darby canine kidney (MDCK) cells at steady state and following manipulations that modulate TJ assembly. Next, we examined the effects of CaSR agonists and antagonists on TJ assembly. Immunofluorescence studies indicate that endogenous CaSR is located at the basolateral pole of MDCK cells. Stable transfection of human CaSR in MDCK cells further reveals that this protein co-distributes with β-catenin on the basolateral membrane. Switching MDCK cells from low-Ca(2+) medium to medium containing a normal Ca(2+) concentration significantly increases CaSR expression at both the mRNA and protein levels. Exposure of MDCK cells maintained in low-Ca(2+) conditions to the CaSR agonists neomycin, Gd(3+) or R-568 causes the transient relocation of the tight junction components ZO-1 and occludin to sites of cell-cell contact, while inducing no significant changes in the expression of mRNAs encoding junction-associated proteins. Stimulation of CaSR also increases the interaction between ZO-1 and the F-actin-binding protein I-afadin. This effect does not involve activation of the AMP-activated protein kinase. By contrast, CaSR inhibition by NPS-2143 significantly decreases interaction of ZO-1 with I-afadin and reduces deposition of ZO-1 at the cell surface following a Ca(2+) switch from 5 µM to 200 µM [Ca(2+)]e. Pre-exposure of MDCK cells to the cell-permeant Ca(2+) chelator BAPTA-AM, similarly prevents TJ assembly caused by CaSR activation. Finally, stable transfection of MDCK cells with a cDNA encoding a human disease-associated gain-of-function mutant form of the CaSR increases the transepithelial electrical resistance of these cells in comparison to expression of the wild-type human CaSR. These observations suggest that the CaSR participates in regulating TJ assembly.

Enhanced functional properties of ZrO2/SiO2 hybrid nanosol coated cotton fabrics

In this present investigation, the colloidal silica and nano ZrO2 embedded silica solution were prepared using sol-gel method followed by the sonication process. The particle size was measured for the prepared silica sol with and without ZrO2 nanoparticles. The prepared nanoparticles were coated on the cotton fabric through pad dry method. The phase and functional group analysis of the cotton fabrics after coating reveals the presence of metal oxides on the surface. The surface morphology of the coated fabrics analysed using SEM shows that the nanoparticles were in spherical morphology with slight agglomerations. The element analysis confirms the presence of silica (SiO2) and ZrO2/SiO2 nanoparticles along with cellulose on the surface. The washing durability of the coated fabrics after 5th and 10th wash indicates that the nanoparticles were strongly adhered on the fabric surface. The burning performance of coated fabrics is in the order of ZrO2/SiO2 (19.5 s) > SiO2 (11.3 s) before and after wash; UV resistance of fabric was in the order of ZrO2/SiO2 > SiO2 > uncoated fabric. Cotton fabrics coated with ZrO2/SiO2 particles show better UV and flammability protection for textile applications.