Multimodal decoding of human liver regeneration

The liver has a unique ability to regenerate1,2; however, in the setting of acute liver failure (ALF), this regenerative capacity is often overwhelmed, leaving emergency liver transplantation as the only curative option3-5. Here, to advance understanding of human liver regeneration, we use paired single-nucleus RNA sequencing combined with spatial profiling of healthy and ALF explant human livers to generate a single-cell, pan-lineage atlas of human liver regeneration. We uncover a novel ANXA2+ migratory hepatocyte subpopulation, which emerges during human liver regeneration, and a corollary subpopulation in a mouse model of acetaminophen (APAP)-induced liver regeneration. Interrogation of necrotic wound closure and hepatocyte proliferation across multiple timepoints following APAP-induced liver injury in mice demonstrates that wound closure precedes hepatocyte proliferation. Four-dimensional intravital imaging of APAP-induced mouse liver injury identifies motile hepatocytes at the edge of the necrotic area, enabling collective migration of the hepatocyte sheet to effect wound closure. Depletion of hepatocyte ANXA2 reduces hepatocyte growth factor-induced human and mouse hepatocyte migration in vitro, and abrogates necrotic wound closure following APAP-induced mouse liver injury. Together, our work dissects unanticipated aspects of liver regeneration, demonstrating an uncoupling of wound closure and hepatocyte proliferation and uncovering a novel migratory hepatocyte subpopulation that mediates wound closure following liver injury. Therapies designed to promote rapid reconstitution of normal hepatic microarchitecture and reparation of the gut-liver barrier may advance new areas of therapeutic discovery in regenerative medicine.

CaSSiDI: novel single-cell "Cluster Similarity Scoring and Distinction Index" reveals critical functions for PirB and context-dependent Cebpb repression

PirB is an inhibitory cell surface receptor particularly prominent on myeloid cells. PirB curtails the phenotypes of activated macrophages during inflammation or tumorigenesis, but its functions in macrophage homeostasis are obscure. To elucidate PirB-related functions in macrophages at steady-state, we generated and compared single-cell RNA-sequencing (scRNAseq) datasets obtained from myeloid cell subsets of wild type (WT) and PirB-deficient knockout (PirB KO) mice. To facilitate this analysis, we developed a novel approach to clustering parameter optimization called "Cluster Similarity Scoring and Distinction Index" (CaSSiDI). We demonstrate that CaSSiDI is an adaptable computational framework that facilitates tandem analysis of two scRNAseq datasets by optimizing clustering parameters. We further show that CaSSiDI offers more advantages than a standard Seurat analysis because it allows direct comparison of two or more independently clustered datasets, thereby alleviating the need for batch-correction while identifying the most similar and different clusters. Using CaSSiDI, we found that PirB is a novel regulator of Cebpb expression that controls the generation of Ly6Clo patrolling monocytes and the expansion properties of peritoneal macrophages. PirB's effect on Cebpb is tissue-specific since it was not observed in splenic red pulp macrophages (RPMs). However, CaSSiDI revealed a segregation of the WT RPM population into a CD68loIrf8+ "neuronal-primed" subset and an CD68hiFtl1+ "iron-loaded" subset. Our results establish the utility of CaSSiDI for single-cell assay analyses and the determination of optimal clustering parameters. Our application of CaSSiDI in this study has revealed previously unknown roles for PirB in myeloid cell populations. In particular, we have discovered homeostatic functions for PirB that are related to Cebpb expression in distinct macrophage subsets.

Cholinergic control of Th17 cell pathogenicity in experimental autoimmune encephalomyelitis

Experimental autoimmune encephalomyelitis (EAE) is a mouse model of multiple sclerosis (MS) in which Th17 cells have a crucial but unclear function. Here we show that choline acetyltransferase (ChAT), which synthesizes acetylcholine (ACh), is a critical driver of pathogenicity in EAE. Mice with ChAT-deficient Th17 cells resist disease progression and show reduced brain-infiltrating immune cells. ChAT expression in Th17 cells is linked to strong TCR signaling, expression of the transcription factor Bhlhe40, and increased Il2, Il17, Il22, and Il23r mRNA levels. ChAT expression in Th17 cells is independent of IL21r signaling but dampened by TGFβ, implicating ChAT in controlling the dichotomous nature of Th17 cells. Our study establishes a cholinergic program in which ACh signaling primes chronic activation of Th17 cells, and thereby constitutes a pathogenic determinant of EAE. Our work may point to novel targets for therapeutic immunomodulation in MS.

Distinct and opposite effects of leukemogenic Idh and Tet2 mutations in hematopoietic stem and progenitor cells

Mutations in IDH1, IDH2, and TET2 are recurrently observed in myeloid neoplasms. IDH1 and IDH2 encode isocitrate dehydrogenase isoforms, which normally catalyze the conversion of isocitrate to α-ketoglutarate (α-KG). Oncogenic IDH1/2 mutations confer neomorphic activity, leading to the production of D-2-hydroxyglutarate (D-2-HG), a potent inhibitor of α-KG-dependent enzymes which include the TET methylcytosine dioxygenases. Given their mutual exclusivity in myeloid neoplasms, IDH1, IDH2, and TET2 mutations may converge on a common oncogenic mechanism. Contrary to this expectation, we observed that they have distinct, and even opposite, effects on hematopoietic stem and progenitor cells in genetically engineered mice. Epigenetic and single-cell transcriptomic analyses revealed that Idh2^R172K and Tet2 loss-of-function have divergent consequences on the expression and activity of key hematopoietic and leukemogenic regulators. Notably, chromatin accessibility and transcriptional deregulation in Idh2^R172K cells were partially disconnected from DNA methylation alterations. These results highlight unanticipated divergent effects of IDH1/2 and TET2 mutations, providing support for the optimization of genotype-specific therapies.

Delivering Electives the Clerkship Way: Consolidating the Student Doctor Method of Training

Student doctor method of clinical training or clinical clerkship provides students with exposure to the entire longitudinal illness of the patient. The students participate in patient care as a part of treating team and can refine their clinical, communication and procedural skills. It provides them with an opportunity to work with the faculty and experience the future workplace. Although the graduate medical education regulations (GMER) provide for student doctor method of training, the time provided is too little and opportunistic. Electives have also been recently added to the new curriculum for the first time. We propose a model to deliver the electives using the clerkship method, so as to consolidate what students learn from the ongoing clerkship. This model is feasible, practical and can be introduced in the current GMER for Indian medical undergraduates without any major disruptions.

Three tissue resident macrophage subsets coexist across organs with conserved origins and life cycles

[Figure: see text].

Concerted roles of PTEN and ATM in controlling hematopoietic stem cell fitness and dormancy

In order to sustain proficient life-long hematopoiesis, hematopoietic stem cells (HSCs) must possess robust mechanisms to preserve their quiescence and genome integrity. DNA-damaging stress can perturb HSC homeostasis by affecting their survival, self-renewal, and differentiation. Ablation of the kinase ataxia telangiectasia mutated (ATM), a master regulator of the DNA damage response, impairs HSC fitness. Paradoxically, we show here that loss of a single allele of Atm enhances HSC functionality in mice. To explain this observation, we explored a possible link between ATM and the tumor suppressor phosphatase and tensin homolog (PTEN), which also regulates HSC function. We generated and analyzed a knockin mouse line (PtenS398A/S398A), in which PTEN cannot be phosphorylated by ATM. Similar to Atm+/-, PtenS398A/S398A HSCs have enhanced hematopoietic reconstitution ability, accompanied by resistance to apoptosis induced by genotoxic stress. Single-cell transcriptomic analyses and functional assays revealed that dormant PtenS398A/S398A HSCs aberrantly tolerate elevated mitochondrial activity and the accumulation of reactive oxygen species, which are normally associated with HSC priming for self-renewal or differentiation. Our results unveil a molecular connection between ATM and PTEN, which couples the response to genotoxic stress and dormancy in HSCs.

AB0528 COMPARABLE SAFETY PROFILE OF GUSELKUMAB IN PSORIATIC ARTHRITIS AND PSORIASIS: RESULTS FROM PHASE 3 TRIALS THROUGH 1 YEAR

Background:

DISCOVER 1&2 (PsA) and VOYAGE 1&2 (PsO) are Phase 3 trials of guselkumab (GUS).

Objectives:

Compare safety results through up to 1yr of GUS in PsA and PsO pts.

Methods:

In DISCOVER, 1120 pts with active PsA despite standard therapy were treated. Most pts were biologic-naïve; ~30% in DISCOVER 1 had previous exposure to 1-2 TNFi. Concomitant MTX (57%), oral corticosteroids (17%), and NSAIDs (64%) were permitted. Pts were randomized to SC GUS 100mg at W0, W4, then Q8W; GUS 100mg Q4W; or PBO. At W24, PBO patients were switched to GUS 100mg Q4W. In VOYAGE, in which concomitant MTX use was prohibited, 1245 pts with moderate to severe PsO were treated and randomized to SC GUS 100 mg at W0, W4, W12, then Q8W; or PBO at W0, W4, W12, with crossover to GUS at W16, W20, then Q8W. AEs and laboratory parameters, analyzed by National Cancer Institute-Common Terminology Criteria for AEs [NCI-CTCAE] toxicity grades, were summarized through the PBO-controlled periods and 1yr.

Results:

Safety profiles were generally consistent across the GUS PsO and PsA clinical programs (Table 1). Time-adjusted incidence rates for numbers of AEs, serious AEs, serious infections, malignancy, MACE and AEs leading to d/c were generally similar between PsO and PsA. No cases of anaphylaxis or opportunistic infections were reported. Proportions of pts with decreased neutrophil counts and elevations in hepatic transaminases were slightly higher in PsA vs PsO. These abnormalities were mostly of NCI-CTCAE Grade 1 or 2 (<LLN-1000/mm3 for neutrophils; <5.0 x ULN for AST/ ALT), generally transient, required no medical interventions, resolved spontaneously, and did not lead to interruption or d/c of treatment. Through 1yr, proportions of pts with ALT/AST elevations in PsA trials were slightly higher for GUS Q4W than Q8W and in pts with vs without baseline MTX use.

Conclusion:

The GUS safety profile was generally consistent in PsA and PsO GUS-treated pts through 1yr of the DISCOVER and VOYAGE trials.

Table 1.

Treatment-Emergent AEs During PBO-controlled Period and Through 1Yr: VOYAGE & DISCOVER Trials

Pooled VOYAGE 1&2Pooled DISCOVER 1&2Time PeriodW0-16Through 1YrW0-24bThrough 1Yr(N=)PBO(422)GUS Q8W(823)Combined GUSa(1221)PBOc(372)GUS Q8W(375)GUS Q4W (373)GUS Q8W(375)GUS Q4W (373)Combined GUS† (1100)Total pt-yrs of follow-up128255974173173172384385973Incidence/100 pt-yrs (95% CI)dAEs317 (287,349)330 (308,353)259 (249, 270)219 (198,243)256 (232,281)221 (200, 245)218 (203,233)177 (164,191)191 (182, 199)SAEs5 (2, 10)6 (4, 10)6 (5, 8)9 (5, 15)4 (2, 8)5 (2, 10)6 (4, 9)4 (2, 7)6 (4, 7)AEs leading to study agent d/c3 (0.9, 8)4 (2, 8)2 (2, 4)4 (2, 8)3 (1, 7)7 (4, 12)2 (1, 4)4 (2, 6)3 (2, 5)Infections86 (71, 104)98 (86, 111)98 (92, 104)58 (48, 71)58 (47, 71)63 (51, 76)58 (50, 66)53 (46, 61)55 (50, 60)Serious Infections0. 8 (0, 4)0.4 (0, 2)1 (0.5, 2)4 (2, 8)0.6 (0, 3)2 (0.4, 5)2 (0.6, 3)1 (0, 2)2 (0.9, 3)All Malignancy0 (0, 2)0.4 (0, 2)1 (0.4, 2)0.6 (0, 3)1 (0, 4)0 (0, 2)0.5 (0, 2)0 (0, 0. 8)0 (0, 1)MACE0 (0, 2)0.4 (0, 2)0.4 (0, 1)0.6 (0, 3)0 (0, 2)0.6 (0, 3)0 (0, 0.8)0.3 (0, 1.4)0.1 (0, 0.6)% pts with ≥1 injection site rxn3.14.55.00.31.31.11.62.41.7

aPlacebo crossover pts were included in the combined GUS column after crossover to GUS

bFor all pts who d/c study treatment early with the last dose of PBO/GUS prior to W24 and who did not receive any PBO/GUS at or after Wk24, all data including the final safety follow-up visit collected through 1yr were included

cFor pts in PBO group who switched to GUS due to cross-over or inadvertently, only data prior to first administration of GUS were included.

dCI based on an exact method assuming observed number of events follows a Poisson distribution

Disclosure of Interests:

Alice B Gottlieb Consultant of: Anaptyps Bio, Avotres Therapeutics, Beiersdorf, Boehringer Ingelheim, Bristol-Myers-Squibb, Eli Lilly, Janssen, LEO Pharma, Novartis, Sun Pharmaceuticals, UCB, and Xbiotech, Grant/research support from: Boehringer Ingelheim, Janssen, Novartis, Sun Pharmaceuticals, UCB, and Xbiotech, Joseph F. Merola Consultant of: AbbVie, Arena, Biogen, BMS, Dermavant, Eli Lilly, Janssen, Novartis, Pfizer, Sun Pharma, UCB, April Armstrong Consultant of: AbbVie, Janssen, Lilly, Leo, Novartis, UCB, Ortho Dermatologics, Dermira, KHK, Sanofi, Regeneron, Sun Pharma, BMS, Dermavant, and Modernizing Medicine, Richard Langley Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly, Janssen, LEO Pharma, Merck, Novartis, Pizer, Sun Pharmaceutical, and UCB Pharma, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly, Janssen, LEO Pharma, Merck, Novartis, Pizer, Sun Pharmaceutical, and UCB Pharma, Mark Lebwohl Consultant of: Aditum Bio, Allergan, Almirall, Arcutis, Inc., Avotres Therapeutics, BirchBioMed Inc., BMD skincare, Boehringer-Ingelheim, Bristol-Myers Squibb, Cara Therapeutics, Castle Biosciences, Corrona, Dermavant Sciences, Evelo, Evommune, Facilitate International Dermatologic Education, Foundation for Research and Education in Dermatology, Inozyme Pharma, Kyowa Kirin, LEO Pharma, Meiji Seika Pharma, Menlo, Mitsubishi, Neuroderm, Pfizer, Promius/Dr. Reddy’s Laboratories, Serono, Theravance, and Verrica., Grant/research support from: Abbvie, Amgen, Arcutis, Boehringer Ingelheim, Dermavant, Eli Lilly, Evommune, Incyte, Janssen, Leo Pharmaceutucals, Ortho Dermatologics, Pfizer, and UCB, Christopher E.M. Griffiths Speakers bureau: AbbVie, Amgen, Almirall, BMS, Boehringer Ingelheim Celgene, Janssen, LEO Pharma, Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma., Consultant of: AbbVie, Amgen, Almirall, BMS, Boehringer Ingelheim Celgene, Janssen, LEO Pharma, Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma., Grant/research support from: AbbVie, Amgen, Almirall, BMS, Boehringer Ingelheim Celgene, Janssen, LEO Pharma, Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma., May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Ya-Wen Yang Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, 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, Miwa Izutsu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Paraneedharan Ramachandran Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Yin You Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Megan Miller Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Christopher T. Ritchlin Consultant of: AbbVie, Amgen, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB Pharma, Grant/research support from: AbbVie, Amgen, and UCB Pharma, Iain McInnes Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, and Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Proton Rahman Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Grant/research support from: Janssen and Novartis.

POS1031 LOW INCIDENCE OF GASTROINTESTINAL-RELATED AND OVERALL SERIOUS ADVERSE EVENTS AMONG GUSELKUMAB-TREATED PATIENTS: POOLED ANALYSES OF VOYAGE 1 & 2 AND DISCOVER 1 & 2 THROUGH 1-YEAR

Background:

Guselkumab (GUS), a human monoclonal antibody that specifically binds to the p19-subunit of interleukin (IL)-23, demonstrated efficacy in the Phase 3 VOYAGE 1&2 trials of patients (pts) with moderate to severe plaque psoriasis (PsO)1,2 and in the DISCOVER 1&2 trials of pts with active psoriatic arthritis (PsA).3,4 IL-17 inhibitors used to treat PsO and PsA have been associated with exacerbation or new onset of inflammatory bowel disease (IBD) (e.g., Crohn’s disease or ulcerative colitis).5

Objectives:

Evaluate the incidence of gastrointestinal (GI)-related and overall serious adverse events (SAEs) from pooled safety data through 1-year of GUS 100 mg treatment from the VOYAGE 1&2 and DISCOVER 1&2 trials.

Methods:

Using pooled safety data from the VOYAGE 1&2 PsO trials and DISCOVER 1&2 PsA trials, SAEs related to GI disorders were identified using the Medical Dictionary for Regulatory Activities (MedDRA) system-organ class “GI disorders”. Pts with a previous history of IBD were not excluded in these trials; medical history of IBD was collected at baseline in DISCOVER 1&2. Rates of overall SAEs and GI-related SAEs were calculated as the number of SAEs per 100 pt-years (PY) of follow-up (95% confidence intervals). Data are presented for the placebo (PBO)-controlled period (Weeks 0-16 for VOYAGE 1&2; Weeks 0-24 for DISCOVER 1&2) and through 1-year (defined as through Week 48 for VOYAGE 1&2; through Week 60 for DISCOVER 1, and through Week 52 for DISCOVER 2). Events of uveitis and opportunistic infections were also analyzed.

Results:

Through the PBO-controlled period, the overall rates of GI-related SAEs per 100 PY for pooled VOYAGE 1&2 were: PBO 0.78 (0.02, 4.34), GUS q8w 0; and for pooled DISCOVER 1&2: PBO 0.58 (0.01, 3.23), GUS q8w 0.58 (0.01, 3.21), GUS q4w 0. The GI-related SAEs included: gastrointestinal hemorrhage (PBO; n=1) for pooled VOYAGE 1&2; and inflammatory bowel disease (PBO; n=1) and mechanical ileus (GUS q8w; n=1) for pooled DISCOVER 1&2. Through 1-year, the overall rates of GI-related SAEs for pooled VOYAGE 1&2 were: Combined GUS group (GUS q8w and PBO→GUS groups) 0.51 (0.17, 1.20); and for pooled DISCOVER 1&2: GUS q8w 0.52 (0.06, 1.88), GUS q4w 0, Combined GUS group (GUS q8w, GUS q4w, and PBO→GUS groups) 0.21 (0.02, 0.74). The GI-related SAEs in the Combined GUS group for pooled VOYAGE 1&2 included: gastritis, hemorrhoids, inguinal hernia, pancreatitis, and umbilical hernia (0.10/100PY [0.00, 0.57]; n=1 for each); and in the Combined GUS group for pooled DISCOVER 1&2: mechanical ileus and pancreatitis chronic (0.10/100PY [0.00, 0.57]; n=1 for each). Overall, no cases of exacerbation or new onset of IBD were reported in GUS-treated pts, including 2 pts with a prior history of IBD in DISCOVER 1&2 (total PY of follow-up for the Combined GUS groups in VOYAGE and DISCOVER were 974 and 973, respectively). Through the PBO-controlled period, rates of overall SAEs for GUS-treated pts were comparable to PBO-pts and SAE rates remained low through 1-year of follow-up in the VOYAGE 1&2 and DISCOVER 1&2 trials. There were no reported cases of uveitis, opportunistic infections, or tuberculosis in GUS-treated pts through 1-year.

Conclusion:

Through 1-year of follow-up with GUS treatment in pooled VOYAGE 1&2 and DISCOVER 1&2, GI-related SAE rates were low. There were no reported cases of uveitis, opportunistic infections, or new onset/exacerbation of IBD in GUS-treated pts. No new safety concerns were identified through 1-year.

References:

[1]Blauvelt A., et al. J Am Acad Dermatol. 2017;76:405-17.

[2]Reich K., et al. J Am Acad Dermatol. 2017;76:418-31.

[3]Deodhar A., et al. Lancet. 2020;395:1115-25.

[4]Mease P.J., et al. Lancet. 2020; 395:1126-36.

[5]Hohenberger M., et al. J Dermatolog Treat. 2018;29:13-8.

Disclosure of Interests:

Philip J Mease Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, SUN, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, SUN, and UCB, Peter Foley Speakers bureau: AbbVie, Celgene, Janssen, Lilly, Merck, Novartis, Pfizer, Valeant, Galderma, GSK, Leo Pharma, and Roche, Consultant of: Janssen, Lilly, Novartis, Pfizer, Galderma, AbbVie, Amgen, AstraZeneca, Arcutis, Aslan, Boehringer Ingelheim, Celgene, Hexima, Merck, Sun Pharma, UCB Pharma, Valeant, BMS, Celtaxsys, CSL, Cutanea, Dermira, Genentech, GSK, Leo Pharma, Regeneron Pharmaceuticals Inc, Reistone, Roche, and Sanofi, Grant/research support from: AbbVie, Amgen, Celgene, Janssen, Leo Pharma, Lilly, Merck, Novartis, Pfizer, Sanofi, and Sun Pharma; travel grants from AbbVie, Janssen, Lilly, Merck, Novartis, Pfizer, Galderma, Leo Pharma, Roche, Sun Pharma, and Sanofi

, Kristian Reich Consultant of: AbbVie, Amgen, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB Pharma, Grant/research support from: AbbVie, Amgen, and UCB Pharma, Jerry Bagel Speakers bureau: AbbVie, Celgene Corporation, Eli Lilly, Janssen Biotech, and Novartis, Consultant of: AbbVie, Amgen, Celgene Corporation, Eli Lilly and Company, Janssen Biotech, Leo Pharma, Novartis, Sun Pharmaceutical Industries Ltd, and Valeant Pharmaceuticals, Grant/research support from: AbbVie, Amgen, Arcutis Biotherapeutics, Boehringer Ingelheim, Bristol Myers Squibb, Celgene Corporation, Corrona, LLC, Dermavant Sciences, LTD, Dermira/UCB, Eli Lilly and Company, Glenmark Pharmaceuticals Ltd, Janssen Biotech, Kadmon Corporation, Leo Pharma, Lycera Corp, Menlo Therapeutics, Novartis, Pfizer, Regeneron Pharmaceuticals, Sun Pharma, Taro Pharmaceutical Industries Ltd, and Valeant Pharmaceuticals, Mark Lebwohl Consultant of: Aditum Bio, Allergan, Almirall, Arcutis, Inc., Avotres Therapeutics, BirchBioMed Inc., BMD skincare, Boehringer-Ingelheim, Bristol-Myers Squibb, Cara Therapeutics, Castle Biosciences, Corrona, Dermavant Sciences, Evelo, Evommune, Facilitate International Dermatologic Education, Foundation for Research and Education in Dermatology, Inozyme Pharma, Kyowa Kirin, LEO Pharma, Meiji Seika Pharma, Menlo, Mitsubishi, Neuroderm, Pfizer, Promius/Dr. Reddy’s Laboratories, Serono, Theravance, and Verrica, Grant/research support from: Abbvie, Amgen, Arcutis, Boehringer Ingelheim, Dermavant, Eli Lilly, Evommune, Incyte, Janssen, Leo Pharmaceutucals, Ortho Dermatologics, Pfizer, and UCB, Ya-Wen Yang Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Megan Miller Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Xie L Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Miwa Izutsu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Paraneedharan Ramachandran Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Yin You Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Philip Helliwell Consultant of: Galapagos, Janssen, Novartis, Grant/research support from: Abbvie, Janssen, Pfizer, Wolf-Henning Boehncke Speakers bureau: AbbVie, Almirall, Celgene, Janssen, Leo, Lilly, Novartis, and UCB Pharma, Consultant of: AbbVie, Almirall, Celgene, Janssen, Leo, Lilly, Novartis, and UCB Pharma, Grant/research support from: Pfizer

AB0538 POOLED SAFETY RESULTS FROM TWO PHASE-3 TRIALS OF GUSELKUMAB IN PATIENTS WITH PSORIATIC ARTHRITIS THROUGH 1 YEAR

Background:

DISCOVER 1 & 2, two double-blind, phase-3, psoriatic arthritis (PsA) trials of guselkumab (GUS, an IL-23 inhibitor), demonstrated significant improvement with GUS vs placebo (PBO) in signs and symptoms of PsA, with good tolerability, at week (w) 24 during the PBO-controlled period.1,2 Beyond w24, all patients (pts) switched to GUS. Continued treatment maintained efficacy through w52.3,4

Objectives:

To describe pooled safety results from the DISCOVER 1 & 2 trials through 1-year of GUS treatment.

Methods:

Adults with active PsA (DISCOVER 1: ≥3 tender/swollen joints and C-Reactive protein [CRP] ≥0.3 mg/dL; DISCOVER 2: ≥5 tender/swollen joints and CRP ≥0.6 mg/dL) were randomized to subcutaneous GUS 100 mg at w0, w4, then every 8 w (q8w); GUS 100 mg q4w; or PBO. At w24, PBO pts switched to GUS 100 mg q4w. Pts were biologic naive except ~30% pts in DISCOVER 1. Safety was reported through w60 in DISCOVER 1 and through w52 in DISCOVER 2.

Results:

Baseline characteristics were similar between treatment groups in the pooled studies. Through w24 and 1 year, numbers of pts per 100 patient years with ≥1 event were similar among treatment groups for adverse events (AEs), serious AEs, infections, serious infections, and discontinuations due to AE (Table 1). At 1 year, there were no cases of active tuberculosis, opportunistic infections (including candida), or inflammatory bowel disease in GUS-treated pts; 2 deaths in PBO pts; and low incidences that were similar across treatment groups for malignancy, major adverse cardiac events, and injection-site reactions. Incidence of anti-GUS antibodies was 4.5%, and most were not neutralizing. Mild elevations in serum hepatic transaminases and decreases in neutrophil counts were consistent at 1 year with the results at w24 (Table 1).

Conclusion:

GUS regimens of q8w and q4w were well tolerated in PsA pts through 1 year of treatment in the phase-3 DISCOVER trials, consistent with the w24 results. No meaningful differences between incidences of AEs were reported in the q8w and q4w groups. The safety profile of GUS in PsA pts is generally comparable with the previously established safety profile of GUS.

References:

[1]Deodhar A et al. Lancet. 2020;395:1115

[2]Mease P et al. Lancet. 2020;395:1126

[3]Ritchlin C et al. EULAR 2020 # SAT0397

[4]McInnes I et al. EULAR 2020 # SAT0402

Table 1.

Number of Patients with AEs per 100 PY and Incidence of AEs of Interest

Time Period24 Weeks1 Year*Treatment GroupPBOGUS SC 100 mgPBO to GUS‡GUS SC 100 mgDosing ScheduleMatchingq8wq4wGUSCombined†q4wq8wq4wGUSCombined‡ N3723753737483523753731100Total PY Follow-Up173173172346204384385589Patients with AEs per 100 PY, n (95% CI)≥1 AE143 (123, 166)148 (127, 171)154 (132, 178)151 (136, 167)92 (77, 108)114 (100, 130)115 (101, 131)109 (100, 117)≥1 Serious AE7.1 (3.7, 12)4.1 (1.6, 8.4)4.7 (2.0, 9.3)4.4 (2.5, 7.3)7.0 (3.8, 11.8)4.8 (2.9, 7.6)4.0 (2.2, 6.6)4.9 (3.6, 6.6)≥1 Infection50 (39, 62)47 (37, 59)52 (42, 65)49 (42, 58)39 (31, 49)41 (34, 48)38 (31, 45)39 (35, 44)≥1 Serious Infection1.7 (0.4, 5.1)0.6 (0.0, 3.2)1.8 (0.4, 5.1)1.2 (0.3, 3.0)2.5 (0.8, 5.8)1.3 (0.4, 3.1)0.8 (0.2, 2.3)1.3 (0.7, 2.3)Discontinued due to AE4.1 (1.6, 8.4)2.9 (1.0, 6.8)4.7 (2.0, 9.3)3.8 (2.0, 6.5)3.5 (1.4, 7.1)2.1 (0.9, 4.1)2.6 (1.3, 4.8)2.6 (1.7, 3.8)AEs of Interest§, n (%)Death2 (0.5)0000000Malignancy1 (0.3)2 (0.5)02 (0.3)1 (0.3)2 (0.5)03 (0.3)Major Adverse Cardiac Events1 (0.3)01 (0.3)1 (0.1)001 (0.3)1 (0.1)Opportunistic Infections00000000Tuberculosis00000000Inflammatory Bowel Disease1 (0.3)0000000Injection-Site Reaction1 (0.3)5 (1.3)4 (1.1)9 (1.2)4 (1.1)6 (1.6)9 (2.4)19 (1.7)Anti-GUS Antibody+-6/373 (1.6)9/371 (2.4)15/744 (2.0)14/350 (4.0)18/373 (4.8)17/371 (4.6)49/1094 (4.5)

*Through w60 for DISCOVER 1 and w52 for DISCOVER 2; †Combined GUS q8w and q4w; ‡For patients who switched from PBO to GUS, only data on and after first GUS administration were included in this group; §PBO N=370.

AE, adverse event; CI, confidence interval; GUS, guselkumab; PBO, placebo; PY, patient year; q4w, every 4 weeks; q8w, every 8 weeks; SC, subcutaneous; w, week

Disclosure of Interests:

Christopher T. Ritchlin Grant/research support from: Received grant/research support from UCB Pharma, AbbVie, Amgen, consultation fees from UCB Pharma, Amgen, AbbVie, Lilly, Pfizer, Novartis, Gilead, Janssen, Proton Rahman Speakers bureau: Received speakers fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Grant/research support from: Received grant/research support from Janssen and Novartis, consultation fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Philip Helliwell Consultant of: Consultation fees paid to charity (AbbVie, Amgen, Pfizer, UCB) or himself (Celgene, Galapagos), Grant/research support from: Received grants/research support paid to charity (AbbVie, Janssen, Novartis), Wolf-Henning Boehncke Consultant of: Received consultation fees from Janssen, Grant/research support from: Received grant/research support from Janssen Research & Development, LLC, Iain McInnes Consultant of: Received consultation fees from AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Received grant/research support from Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Alice B Gottlieb Speakers bureau: Received speakers fees from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Consultant of: Received consultation fees from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Grant/research support from: Received grant/research support from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Shelly Kafka Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Alexa Kollmeier Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Xie L Xu Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, May Shawi Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Prasheen Agarwal Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Bei Zhou Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Paraneedharan Ramachandran Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Philip J Mease Speakers bureau: Received speakers fees from Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB – speakers bureau, Consultant of: Received consultation fees from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB, Grant/research support from: Received grant/research support from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB.

Female ageing affects the DNA repair capacity of oocytes in IVF using a controlled model of sperm DNA damage in mice

STUDY QUESTION

Does female ageing have a negative effect on the DNA repair capacity of oocytes fertilised by spermatozoa with controlled levels of DNA damage?

SUMMARY ANSWER

Compared to oocytes from younger females, oocytes from older females have a reduced capacity to repair damaged DNA introduced by spermatozoa.

WHAT IS KNOWN ALREADY

The reproductive lifespan in women declines with age predominantly due to poor oocyte quality. This leads to decreased reproductive outcomes for older women undergoing assisted reproductive technology (ART) treatments, compared to young women. Ageing and oocyte quality have been clearly associated with aneuploidy, but the range of factors that influence this change in oocyte quality with age remains unclear. The DNA repair activity prior to embryonic genomic activation is considered to be of maternal origin, with maternal transcripts and proteins controlling DNA integrity. With increasing maternal age, the number of mRNAs stored in oocytes decreases. This could result in diminished efficiency of DNA repair and/or negative effects on embryo development, especially in the presence of DNA damage.

STUDY DESIGN, SIZE, DURATION

Oocytes from two age groups of 30 super-ovulated female mice (young: 5-8 weeks old, n = 15; old: 42-45 weeks old, n = 15) were inseminated with sperm from five males with three different controlled DNA damage levels; control: ≤10%, 1 Gray (Gy): 11-30%, and 30 Gy: >30%. Inseminated oocytes (young: 125, old: 78) were assessed for the formation of zygotes (per oocyte) and blastocysts (per zygote). Five replicates of five germinal vesicles (GVs) and five MII oocytes from each age group were analysed for gene expression. The DNA damage response (DDR) was assessed in a minimum of three IVF replicates in control and 1 Gy zygotes and two-cell embryos using γH2AX labelling.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Swim-up sperm samples from the cauda epididymidis of C57BL6 mice were divided into control (no irradiation) and 1- and 30-Gy groups. Treated spermatozoa were irradiated at 1 and 30 Gy, respectively, using a linear accelerator Varian 21iX. Following irradiation, samples were used for DNA damage assessment (Halomax) and for insemination. Presumed zygotes were cultured in a time-lapse incubator (MIRI, ESCO). Gene expression of 91 DNA repair genes was assessed using the Fluidigm Biomark HD system. The DNA damage response in zygotes (6-8 h post-fertilisation) and two-cell embryos (22-24 h post-fertilisation) was assessed by immunocytochemical analysis of γH2AX using confocal microscopy (Olympus FV1200) and 3D volumetric analysis using IMARIS software.

MAIN RESULTS AND THE ROLE OF CHANCE

The average sperm DNA damage for the three groups was statistically different (control: 6.1%, 1 Gy: 16.1%, 30 Gy: 53.1%, P < 0.0001), but there were no significant differences in fertilisation rates after IVF within or between the two age groups [(young; control: 86.79%, 1 Gy: 82.75%, 30 Gy: 76.74%) (old; control: 93.1%, 1 Gy: 70.37%, 30 Gy: 68.18%) Fisher's exact]. However, blastocyst rates were significantly different (P < 0.0001) among the groups [(young; control: 86.95%, 1 Gy: 33.33%, 30 Gy: 0.0%) (old; control: 70.37%, 1 Gy: 0.0%, 30 Gy: 0.0%)]. Between the age groups, 1-Gy samples showed a significant decrease in the blastocyst rate in old females compared to young females (P = 0.0166). Gene expression analysis revealed a decrease in relative expression of 21 DNA repair genes in old GV oocytes compared to young GV oocytes (P < 0.05), and similarly, old MII oocytes showed 23 genes with reduced expression compared to young MII oocytes (P < 0.05). The number of genes with decreased expression in older GV and MII oocytes significantly affected pathways such as double strand break (GV: 5; MII: 6), nucleotide excision repair (GV: 8; MII: 5) and DNA damage response (GV: 4; MII: 8). There was a decreased DDR in zygotes and in two-cell embryos from old females compared to young regardless of sperm treatment (P < 0.05). The decrease in DNA repair gene expression of oocytes and decreased DDR in embryos derived from older females suggests that ageing results in a diminished DNA repair capacity.

LARGE-SCALE DATA

N/A.

LIMITATIONS, REASONS FOR CAUTION

Ionising radiation was used only for experimental purposes, aiming at controlled levels of sperm DNA damage; however, it can also damage spermatozoa proteins. The female age groups selected in mice were intended to model effects in young and old women, but clinical studies are required to demonstrate a similar effect.

WIDER IMPLICATIONS OF THE FINDINGS

Fertilisation can occur with sperm populations with medium and high DNA damage, but subsequent embryo growth is affected to a greater extent with aging females, supporting the theory that oocyte DNA repair capacity decreases with age. Assessment of the oocyte DNA repair capacity may be a useful diagnostic tool for infertile couples.

STUDY FUNDING/COMPETING INTEREST(S)

Funded by the Education Program in Reproduction and Development, Department of Obstetrics and Gynaecology, Monash University. None of the authors has any conflict of interest to report.

Development and validation of a structured feedback questionnaire from postgraduates on various elements of postgraduate medical curriculum

BACKGROUND

Medical Council of India, introduced the Post Graduate (PG) curriculum as 'Competency Based Medical Education' (CBME). Feedback from the end users is a vital step in curriculum evaluation. Therefore, the primary objective of this study was to develop and validate a Structured Feedback Questionnaire (SFQ) for postgraduates, encompassing all the components of the PG-CBME curriculum.

METHODS

SFQ was developed with 23 Likert based questions and four open ended questions. Content validation was done by Lawshe method. After getting institutional ethics clearance and informed consent, SFQ was administered to 121 final year PGs (response rate 100%). We performed Principal component analysis (PCA), Structural equation modeling (SEM), Chi squared test (χ2/df); goodness-of-fit index (GFI); adjusted GFI; comparative fit index (CFI) and root mean square error of approximation (RMSEA). Cronbach's alpha was done for estimating the internal consistency.

RESULTS

The validation resulted in a three-factor model comprising of "curriculum" (42.1%), "assessment" (28%), and "support" (18.5%). Chi squared test (χ2/df ratio) < 2, CFI (0.78), GFI (0.72) and RMSEA (0.09) indicated superior goodness of fit for the three-factor model for the sample data. All the extracted factors had good internal consistency of ≥0.9.

CONCLUSION

We believe that this 23 item SFQ is a valid and reliable tool which can be utilized for curriculum evaluation and thereby formulating recommendations to modify the existing curriculum wherever required, facilitating enriched program outcomes.

FRI0359 INTEGRATED SAFETY RESULTS OF TWO PHASE-3 TRIALS OF GUSELKUMAB IN PATIENTS WITH PSORIATIC ARTHRITIS THROUGH THE PLACEBO-CONTROLLED PERIODS

Background:

DISCOVER 1 & 2 are phase 3 psoriatic arthritis (PsA) trials investigating guselkumab (GUS), an IL-23 inhibitor that specifically binds the IL-23p19 subunit. In both studies, GUS showed significant improvement vs placebo (PBO) through week (W) 24 in the PBO-controlled period.1,2

Objectives:

To present integrated safety results of DISC 1 & 2 through the PBO-controlled periods.

Methods:

Adult patients (pts) with active PsA despite standard therapy were enrolled. All pts were biologic-naïve, except ~30% in DISC 1 with previous exposure to 1-2 TNF inhibitors. Pts were randomized to SC GUS 100 mg Q4W; GUS 100 mg at W0, W4, then Q8W; or PBO. Adverse events (AEs) and lab results were analyzed from pooled data.

Results:

The rates of pts experiencing ≥1 AE, serious AE, infection, serious infection, and discontinuation due to an AE were similar between GUS and PBO (Table 1). There were 2 deaths, 3 malignancies, 2 Major Adverse Cardiac Events (MACE), and no opportunistic infections (treatment group not shown to prevent unblinding). Among the AEs reported by ≥5% pts in any group (Table 1), nasopharyngitis and elevated serum hepatic aminotransferases were more common with GUS vs PBO. Laboratory ALT and AST elevations were mostly mild, transient, and not associated with significant bilirubin elevation. There was a trend to decreased neutrophil count (mostly Grade 1, transient, and not associated with infection) with GUS vs PBO (Table 2). Low rates of injection-site reactions were seen with GUS vs PBO. Anti-drug antibody development was also low (Table 1).

Table 1.

Patient Reported AEs, n (%)

GUS100 mgQ8WGUS100 mgQ4WPBON375373372≥1 AE182 (48.5)182 (48.8)176 (47.3)≥1 Serious AE7 (1.9)8 (2.1)12 (3.2)Discontinuation due to AE5 (1.3)8 (2.1)7 (1.9)≥1 Infection73 (19.5)80 (21.4)77 (20.7)≥1 Serious infection1 (0.3)3 (0.8)3 (0.8)≥1 Opportunistic Infection (including Candida)000Active Tuberculosis000≥1 Injection-site reaction5 (1.3)4 (1.1)1 (0.3)Anti-GUS antibody +, n/N (%)6/373 (1.6)9/371 (2.4)--AEs* reported by ≥5% of patients in any treatment groupNasopharyngitis26 (6.9)19 (5.1)17 (4.6)Upper respiratory tract infection13 (3.5)23 (6.2)17 (4.6)Increased ALT23 (6.1)28 (7.5)14 (3.8)Increased AST23 (6.1)14 (3.8)9 (2.4)

*Medical Dictionary for Regulatory Activities (MedDRA) preferred term

Table 2.

Lab Results*

GUS100 mgQ8WGUS100 mgQ4WPBON373371370ALT Increased (%)Grade 128.235.030.121.12.71.43-40.81.10.8Neutrophil Count Decreased (%)Grade 15.65.93.221.61.60.83-400.30.3

*NCI toxicity grade

ALT=Alanine aminotransferase

Conclusion:

GUS was safe and well tolerated through the PBO-controlled period in 2 randomized, phase 3 trials of patients with active PsA. There were no meaningful safety differences between the Q8W and Q4W groups, no significant safety issues identified when comparing GUS to PBO, and no safety signals with regards to infections, malignancy, and MACE. The safety profile of GUS Q4W and Q8W in PsA pts was generally consistent with that in the Phase 3 trials of GUS Q8W for psoriasis.3,4

References:

[1]Deodhar et al. ACR 2019 (#807). Arth Rheum 2019;71 S10:1386

[2]Mease et al. ACR 2019 (#L13). Arth Rheum 2019;71 S10:5247

[3]Blauvelt et al. J Am Acad Derm 2017;76:405

[4]Reich et al. J Am Acad Derm 2017;76:418

Acknowledgments:

None

Disclosure of Interests:

Proton Rahman Grant/research support from: Janssen and Novartis, Consultant of: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Speakers bureau: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Christopher T. Ritchlin Grant/research support from: UCB Pharma, AbbVie, Amgen, Consultant of: UCB Pharma, Amgen, AbbVie, Lilly, Pfizer, Novartis, Gilead, Janssen, Philip Helliwell: None declared, Wolf-Henning Boehncke Grant/research support from: Janssen Research & Development, LLC, Consultant of: Janssen, Philip J Mease Grant/research support from: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – grant/research support, Consultant of: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – consultant, Speakers bureau: Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB – speakers bureau, Alice B Gottlieb Grant/research support from:: Research grants, consultation fees, or speaker honoraria for lectures from: Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB., Consultant of:: Research grants, consultation fees, or speaker honoraria for lectures from: Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB., Speakers bureau:: Research grants, consultation fees, or speaker honoraria for lectures from: Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB., Shelly Kafka Employee of: Janssen Scientific Affairs, LLC, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Xie L Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Prasheen Agarwal Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Bei Zhou Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Paraneedharan Ramachandran Employee of: Janssen Research & Development, LLC, Iain McInnes Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB

Outcomes for high-risk hepatoblastoma in a resource-challenged setting

Background

Outcomes of high‐risk hepatoblastoma have been dismal, especially in resource‐challenged countries where access to chemotherapy and paediatric liver transplantation is limited for the underprivileged. This study aimed to assess the results of treatment of high‐risk hepatoblastoma in a tertiary centre, including patients who had non‐transplant surgical procedures in the form of extended resection.

Methods

A review of patients with high‐risk hepatoblastoma treated between January 2012 and May 2018 was carried out. Perioperative data and long‐term outcomes were analysed.

Results

Of 52 children with hepatoblastoma, 22 were considered to have high‐risk hepatoblastoma (8 girls and 14 boys). The mean(s.d.) age at diagnosis was 35(20) months. Of these 22 children, five died without surgery. Of the remaining 17 who underwent surgery, six had a resection (4 right and 2 left trisectionectomies) and 11 underwent living‐donor liver transplantation. Median follow‐up was 48 (range 12–90) months. Thirteen of the 17 children were alive at last follow‐up and four developed disseminated disease (3 had undergone liver transplantation and 1 liver resection). The overall survival rate at 1, 3 and 5 years was 77, 64 and 62 per cent for the whole cohort with high‐risk hepatoblastoma. In children who had surgery, 1‐, 3‐ and 5‐year survival rates were 91, 82 and 73 per cent for transplantation and 100, 83 and 83 per cent for resection. There was no difference in survival between the two surgical groups.

Conclusion

Excellent results in the treatment of high‐risk hepatoblastoma are possible, even in resource‐challenged countries.

Mutant ACVR1 Arrests Glial Cell Differentiation to Drive Tumorigenesis in Pediatric Gliomas

Diffuse intrinsic pontine gliomas (DIPGs) are aggressive pediatric brain tumors for which there is currently no effective treatment. Some of these tumors combine gain-of-function mutations in ACVR1, PIK3CA, and histone H3-encoding genes. The oncogenic mechanisms of action of ACVR1 mutations are currently unknown. Using mouse models, we demonstrate that Acvr1G328V arrests the differentiation of oligodendroglial lineage cells, and cooperates with Hist1h3bK27M and Pik3caH1047R to generate high-grade diffuse gliomas. Mechanistically, Acvr1G328V upregulates transcription factors which control differentiation and DIPG cell fitness. Furthermore, we characterize E6201 as a dual inhibitor of ACVR1 and MEK1/2, and demonstrate its efficacy toward tumor cells in vivo. Collectively, our results describe an oncogenic mechanism of action for ACVR1 mutations, and suggest therapeutic strategies for DIPGs.

Resolving the fibrotic niche of human liver cirrhosis at single-cell level

Liver cirrhosis is a major cause of death worldwide and is characterized by extensive fibrosis. There are currently no effective antifibrotic therapies available. To obtain a better understanding of the cellular and molecular mechanisms involved in disease pathogenesis and enable the discovery of therapeutic targets, here we profile the transcriptomes of more than 100,000 single human cells, yielding molecular definitions for non-parenchymal cell types that are found in healthy and cirrhotic human liver. We identify a scar-associated TREM2+CD9+ subpopulation of macrophages, which expands in liver fibrosis, differentiates from circulating monocytes and is pro-fibrogenic. We also define ACKR1+ and PLVAP+ endothelial cells that expand in cirrhosis, are topographically restricted to the fibrotic niche and enhance the transmigration of leucocytes. Multi-lineage modelling of ligand and receptor interactions between the scar-associated macrophages, endothelial cells and PDGFRα+ collagen-producing mesenchymal cells reveals intra-scar activity of several pro-fibrogenic pathways including TNFRSF12A, PDGFR and NOTCH signalling. Our work dissects unanticipated aspects of the cellular and molecular basis of human organ fibrosis at a single-cell level, and provides a conceptual framework for the discovery of rational therapeutic targets in liver cirrhosis.

Cis-regulatory determinants of MyoD function

Muscle-specific transcription factor MyoD orchestrates the myogenic gene expression program by binding to short DNA motifs called E-boxes within myogenic cis-regulatory elements (CREs). Genome-wide analyses of MyoD cistrome by chromatin immnunoprecipitation sequencing shows that MyoD-bound CREs contain multiple E-boxes of various sequences. However, how E-box numbers, sequences and their spatial arrangement within CREs collectively regulate the binding affinity and transcriptional activity of MyoD remain largely unknown. Here, by an integrative analysis of MyoD cistrome combined with genome-wide analysis of key regulatory histones and gene expression data we show that the affinity landscape of MyoD is driven by multiple E-boxes, and that the overall binding affinity—and associated nucleosome positioning and epigenetic features of the CREs—crucially depend on the variant sequences and positioning of the E-boxes within the CREs. By comparative genomic analysis of single nucleotide polymorphism (SNPs) across publicly available data from 17 strains of laboratory mice, we show that variant sequences within the MyoD-bound motifs, but not their genome-wide counterparts, are under selection. At last, we show that the quantitative regulatory effect of MyoD binding on the nearby genes can, in part, be predicted by the motif composition of the CREs to which it binds. Taken together, our data suggest that motif numbers, sequences and their spatial arrangement within the myogenic CREs are important determinants of the cis-regulatory code of myogenic CREs.

Alectinib (Alecensa)-induced reversible grade IV nephrotoxicity: a case report and review of the literature

BACKGROUND

Lung cancer is among the top causes of cancer-related mortality in men and is the second most common cancer after breast cancer in women. There are approximately 234,030 new cases of lung cancer and 154,050 deaths from lung cancer in 2018 as per the latest American Cancer Society's report. Alectinib, a more potent orally active tyrosine kinase inhibitor which was approved by the US Food & Drug Administration for anaplastic lymphoma kinase-positive lung adenocarcinoma, has been shown to have a reasonable safety profile when compared with other anaplastic lymphoma kinase-targeted therapy. As per research studies, grade 1 or 2 renal impairment has been reported but grade 4 renal toxicity due to alectinib has not been reported so far. We report a case of acute renal failure caused by alectinib which necessitated emergency dialysis. This is the first case report describing the severe renal toxicity of alectinib.

CASE PRESENTATION

We describe a case of 72-year-old Taiwanese man diagnosed with stage IV anaplastic lymphoma kinase-positive adenocarcinoma of the lung initially treated with crizotinib for over a year, which was switched to alectinib due to disease progression with brain metastasis. Within 6 weeks of starting alectinib, he developed acute renal failure needing emergency dialysis support. His renal failure was secondary to acute tubular necrosis and had a complete reversal within 7-10 days on withdrawing the medication. When he was re-challenged with alectinib, his creatinine started to worsen again which confirmed the renal toxicity of alectinib.

CONCLUSIONS

This case emphasizes the uncommon adverse effect of the anaplastic lymphoma kinase-targeted therapy alectinib causing acute renal failure manifesting as acute tubular necrosis. Recognition of alectinib nephropathy requires a thorough drug history and knowledge of risk factors that lessen its margin of safety at therapeutic ingestions. Frequent monitoring of renal functions and early nephrology referral significantly reduce the mortality and morbidity of these patients.

Bayesian Correlation Analysis for Sequence Count Data

Evaluating the similarity of different measured variables is a fundamental task of statistics, and a key part of many bioinformatics algorithms. Here we propose a Bayesian scheme for estimating the correlation between different entities’ measurements based on high-throughput sequencing data. These entities could be different genes or miRNAs whose expression is measured by RNA-seq, different transcription factors or histone marks whose expression is measured by ChIP-seq, or even combinations of different types of entities. Our Bayesian formulation accounts for both measured signal levels and uncertainty in those levels, due to varying sequencing depth in different experiments and to varying absolute levels of individual entities, both of which affect the precision of the measurements. In comparison with a traditional Pearson correlation analysis, we show that our Bayesian correlation analysis retains high correlations when measurement confidence is high, but suppresses correlations when measurement confidence is low—especially for entities with low signal levels. In addition, we consider the influence of priors on the Bayesian correlation estimate. Perhaps surprisingly, we show that naive, uniform priors on entities’ signal levels can lead to highly biased correlation estimates, particularly when different experiments have widely varying sequencing depths. However, we propose two alternative priors that provably mitigate this problem. We also prove that, like traditional Pearson correlation, our Bayesian correlation calculation constitutes a kernel in the machine learning sense, and thus can be used as a similarity measure in any kernel-based machine learning algorithm. We demonstrate our approach on two RNA-seq datasets and one miRNA-seq dataset.

BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates

Background

Unraveling transcriptional regulatory networks is a central problem in molecular biology and, in this quest, chromatin immunoprecipitation and sequencing (ChIP-seq) technology has given us the unprecedented ability to identify sites of protein-DNA binding and histone modification genome wide. However, multiple systemic and procedural biases hinder harnessing the full potential of this technology. Previous studies have addressed this problem, but a thorough characterization of different, interacting biases on ChIP-seq signals is still lacking.

Results

Here, we present a novel framework where the genome-wide ChIP-seq signal is viewed as being quantifiably influenced by different, measurable sources of bias, which can then be computationally subtracted away. We use a compendium of 123 human ENCODE ChIP-seq datasets to build regression models that tell us how much of a ChIP-seq signal can be attributed to mappability, GC-content, chromatin accessibility, and factors represented in input DNA and IgG controls. When we use the model to separate out these non-binding influences from the ChIP-seq signal, we obtain a purified signal that associates better to TF-DNA-binding motifs than do other measures of peak significance. We also carry out a multiscale analysis that reveals how ChIP-seq signal biases differ across different scales. Finally, we investigate previously reported associations between gene expression and ChIP-seq signals at transcription start sites. We show that our model can be used to discriminate ChIP-seq signals that are truly related to gene expression from those that are merely correlated by virtue of bias—in particular, chromatin accessibility bias, which shows up in ChIP-seq signals and also relates to gene expression.

Conclusions

Our study provides new insights into the behavior of ChIP-seq signal biases and proposes a novel mitigation framework that improves results compared to existing techniques. With ChIP-seq now being the central technology for studying transcriptional regulation, it is most crucial to accurately characterize, quantify, and adjust for the genome-wide effects of biases affecting ChIP-seq. Our study also emphasizes that properly accounting for confounders in ChIP-seq data is of paramount importance for obtaining biologically accurate insights into the workings of the complex regulatory mechanisms in living organisms. R and MATLAB packages implementing the framework can be obtained from http://www.perkinslab.ca/Software.html.

Electronic supplementary material

The online version of this article (doi:10.1186/s13072-015-0028-2) contains supplementary material, which is available to authorized users.

Development and utility of the FDA 'GutProbe' DNA microarray for identification, genotyping and metagenomic analysis of commercially available probiotics

AIM

Lactic acid bacteria are beneficial microbes added to many food products and dietary supplements for their purported health benefits. Proper identification of bacteria is important to assess safety as well as proper product labelling. A custom microarray (FDA GutProbe) was developed to verify accurate labelling in commercial dietary supplements.

METHODS AND RESULTS

Strain-specific attribution was achieved with GutProbe array which contains genes from the most commonly found species in probiotic supplements and food ingredients. Applied utility of the array was assessed with direct from product DNA hybridization to determine (i) if identification of multiple strains in one sample can be conducted and (ii) if any lot-to-lot variations exist with eight probiotics found on the US market.

CONCLUSIONS

GutProbe is a useful tool in identifying a mixture of microbials in probiotics and did reveal some product variations. In addition, the array is able to identify lot-to-lot differences in these products. These strain level attribution may be useful for routine monitoring of batch variation as part of a 'Good Manufacturing Practices' process.

SIGNIFICANCE AND IMPACT OF THE STUDY

The FDA GutProbe is an efficient and reliable platform to identify the presence of microbial ingredients and determining microbe differences in dietary supplements. The GutProbe is a fast, rapid method for direct community profiling or food matrix sampling.

Outcome of partial internal biliary diversion for intractable pruritus in children with cholestatic liver disease

PURPOSE

Children with cholestatic disorders have undergone liver transplantation for intractable pruritus unresponsive to medical therapy even in the absence of liver failure. Biliary diversion procedures interrupt the entero-hepatic circulation of bile acids allowing them to be excreted in the feces thereby lowering the total bile acid pool. We evaluated the outcome of partial internal biliary diversion (PIBD) in children with intractable pruritus from inherited cholestatic disorders.

METHODS

The records of children who underwent PIBD over a 4-year period were reviewed for etiology of liver disease, demographic data, preoperative and postoperative biochemical profile and improvement of pruritus. Standard statistical methods were used for analysis.

RESULTS

Of the 12 children, 10 had progressive familial intrahepatic cholestasis (PFIC) and 2 had Alagille syndrome (AS). PIBD was done using an isolated jejunal loop as a conduit from gall bladder to mid ascending colon. Median period of follow up was 30 months. Pruritus resolved in nine children with significant reduction of serum bile acids (P < 0.02).

CONCLUSION

To our knowledge, this is the largest reported series of children with PIBD. PIBD is a safe, well-tolerated and effective alternative to liver transplant in children with PFIC and AS who have intractable pruritus in the absence of synthetic liver failure.

Renal artery stenting: one year outcome on BP control and antihypertensive medication

AIM

There is lot of controversy regarding the efficacy of renal artery stenting in atherosclerotic renal artery stenosis. The aim of this retrospective study is to evaluate blood pressure control and requirement of antihypertensive drugs after renal artery stenting.

METHODS AND RESULTS

Eighty patients who have undergone renal artery stenting for atherosclerotic renal artery stenosis with hypertension were evaluated and followed up for one year. Those with procedural complications were excluded. The systolic and diastolic BP control, number of medications, their dosage and serum creatinine levels were assessed at 3 months and at one year. At the end of one year 3 patients had total cure (all 3 had bilateral renal artery stenting). In 30 patients, there was reduction in number of drugs and in 11 patients there was reduction in dosage of antihypertensive drugs. In 16 patients there was a need to change the class of drugs. In 16 patients same drugs and dosage were continued. In 4 patients, the dose was increased.

CONCLUSIONS

At the end of one year, 3 patients had cure, 44 patients improved and there was no change in 33 patients. Our results are comparable to other reported series. Renal artery stenting is a cost effective approach in properly selected patients of renal artery stenosis with hypertension.

Alcohol septal ablation for hypertrophic obstructive cardiomyopathy - 8 years follow up

Background

Alcohol septal ablation is emerging as an alternative to surgical myectomy in the management of symptomatic cases of Hypertrophic obstructive cardiomyopathy (HOCM). This involves injection of absolute alcohol into 1st septal perforator thereby producing myocardial necrosis with resultant septal remodelling within 3–6 months. This results in reduction of septal thickness and LV outflow gradients with improvement in symptoms.

Methods

Fifty three patients had undergone alcohol septal ablation, there were 2 early and 2 late deaths and 4 patients lost to follow up. Forty-five (85%) of them were followed up to a mean period of 96 ± 9.2 months. Clinical, ECG, and Echocardiographic parameters were evaluated during follow up.

Results

Only 4 out of 51 patients remained in NYHA class III or IV at the end of 6 months. Significant reduction of LV outflow gradients (79 ± 35 to 34 ± 23 mmHg) and septal thickness (23 ± 4.7 mm to 19 ± 3 mm) were observed during 6 months follow up. Beyond 6 months there was no further decrease in either septal thickness or LVOT gradients noted. Ten percent of patients needed pacemaker implantation. There was 92% survival at the end of 8 years.

Conclusion

Alcohol septal ablation is a safe and effective nonsurgical procedure for the treatment of HOCM. By minimizing the amount of alcohol to ≤2 ml, one can reduce complications and mortality. The long-term survival is gratifying.

Adaptive bandwidth kernel density estimation for next-generation sequencing data

Background

High-throughput sequencing experiments can be viewed as measuring some sort of a "genomic signal" that may represent a biological event such as the binding of a transcription factor to the genome, locations of chromatin modifications, or even a background or control condition. Numerous algorithms have been developed to extract different kinds of information from such data. However, there has been very little focus on the reconstruction of the genomic signal itself. Such reconstructions may be useful for a variety of purposes ranging from simple visualization of the signals to sophisticated comparison of different datasets.

Methods

Here, we propose that adaptive-bandwidth kernel density estimators are well-suited for genomic signal reconstructions. This class of estimators is a natural extension of the fixed-bandwidth estimators that have been employed in several existing ChIP-Seq analysis programs.

Results

Using a set of ChIP-Seq datasets from the ENCODE project, we show that adaptive-bandwidth estimators have greater accuracy at signal reconstruction compared to fixed-bandwidth estimators, and that they have significant advantages in terms of visualization as well. For both fixed and adaptive-bandwidth schemes, we demonstrate that smoothing parameters can be set automatically using a held-out set of tuning data. We also carry out a computational complexity analysis of the different schemes and confirm through experimentation that the necessary computations can be readily carried out on a modern workstation without any significant issues.

Drug-drug interactions in hospitalized cardiac patients

Drug–drug interactions (DDIs) are defined as two or more drugs interacting in such a manner that the effectiveness or toxicity of one or more drugs is altered. DDI in patients receiving multidrug therapy is a major concern. The aim of the present study was to assess the incidence and risk factors of DDIs in patients admitted in cardiology unit of a teaching hospital. A prospective, observational study was carried out for a period of 3 months (April–July 2009). During the study period, a total of 600 prescriptions were analyzed and it was found that 88 patients had at least one DDI. The percentage of DDIs was higher in females compared to males (56.82% vs. 43.18%). DDIs were observed more in the age group of 60 years and above (57.96). Patients with more than 10 prescribed drugs developed DDIs more frequently [58 (65.91%)]. Heparin [55 (62.25%)] and aspirin [42 (47.72%)] were the most common drugs responsible for DDIs. Bleeding was the commonest clinical consequence [76 (86.63%)] found in this study population. On assessment of severity of DDIs, majority of the cases were classified as moderate in severity (61.36%). Aging, female gender and increase in concurrent medications were found to be associated with increased DDIs. Patients having these risk factors can be actively monitored during their stay in the cardiology department to identify DDIs.

SPECT in asymptomatic diabetics with and without microalbuminuria

OBJECTIVE

To identify coronary artery disease (CAD) in asymptomatic diabetics with the help of myocardial perfusion single photon emission computed tomography (MPS), a non-invasive imaging modality and its correlation in diabetics with or without microalbuminuria.

METHODS

This study included 99 patients in the age group of 30 to 80 years who were asymptomatic but possessed one or more risk factors for CAD. These patients were divided into two groups, diabetics with and without microalbuminuria (Micral). Thirty eight patients were Micral positive and 61 were Micral negative. Ischemia was detected by MPS and compared with coronary angiographic findings in both the groups.

RESULTS

Amongst the 99 diabetic patients, MPS was positive in 39 patients. Out of 39 MPS positive patients, 31(79.5%) were micral positive and 8 (20.5%) were micral negative. Out of 38 micral positive patients, 31 patients were positive on MPS and 27 had significant angiographic (CAG) findings. Those with micral positive and MPS positive had multivessel CAD by CAG. It was seen that MPS status was 91.4% sensitive, 74.1% specific and had 82.1% positive predictive values (PPV) and 87.0% negative predictive value (NPV) for detection of significant CAD.

CONCLUSION

Microalbuminuria is an inexpensive screening tool and a powerful independent predictor for major cardiovascular events in patients with type 2 diabetes mellitus. MPS is a sensitive, non invasive diagnostic test for identification of CAD in asymptomatic diabetic patients.