Effectiveness of vedolizumab and ustekinumab as second biologic agent in achieving target outcomes in tumor necrosis factor antagonists experienced patients with inflammatory bowel disease (enroll-ex study)

Background: About a third of patients with inflammatory bowel disease (IBD) do not respond to anti-tumor necrosis factor (anti-TNF) therapy. In our study, we evaluated the effectiveness of vedolizumab and ustekinumab in achieving clinical and endoscopic outcomes in anti-TNF-experienced patients with IBD.Methods: We conducted a retrospective cohort study. Electronic medical records of patients with moderate to severe IBD, who were previously received anti-TNF therapies, were reviewed and evaluated retrospectively in a gastroenterology center. Outcomes of patients treated with ustekinumab or vedolizumab after failing one anti-TNF agent were evaluated. The primary outcomes were the percentage of hospitalization, surgery, mucosal healing and steroid-free remission. Mucosal healing was defined as a Mayo endoscopic score of 0 or 1 in ulcerative colitis (UC) and an SES-CD score of less than 3 in Crohn’s disease (CD). Outcomes were quantified using descriptive analysis.Results: A total of 207 (130 CD: 77 UC) patients with IBD who had previously received one anti-TNF agent were included in the study. Of the total cohort, 62 (30.0%) patients were receiving vedolizumab, and 145 (70.0%) patients were on ustekinumab. 101 (77.6%) patients with CD who failed one anti-TNF therapy were on ustekinumab. Of these patients, 26 (19.7%) patients were hospitalized, and 12 (11.9%) patients had IBD-related surgery. 16 (16.1%) patients had at least one corticosteroid course. 60 (59.0%) patients with CD on ustekinumab achieved mucosal healing. 29 (22.3%) patients with CD who failed one anti-TNF therapy were receiving vedolizumab. Of those, 7 (25%) patients were hospitalized, and 11 (37.9%) patients had IBD-related surgery. 15 (51.0%) patients achieved mucosal healing. 44 (57.1%) patients with UC who failed one anti-TNF therapy were on ustekinumab. Of these 6 (14.1%) patients were hospitalized, 3 (7.0%) patients had IBD-related surgery and 13 (30%) patients had at least 1 corticosteroid course. 25 (57.0%) patients achieved mucosal healing. 33 (42.8%) patients with UC who failed one anti-TNF therapy were receiving vedolizumab. Of those, 6 (18.6%) patients were hospitalized, and 16 (49.6%) patients had at least 1 corticosteroid course. 17 (53.2%) patients achieved mucosal healing.Conclusion: Ustekinumab and vedolizumab were both effective in achieving clinical outcomes in patients with IBD after failing an anti-TNF agent. However, patients receiving ustekinumab had numerically higher percentages of reaching target outcomes than patients receiving vedolizumab. A prospective head-to-head trial is warranted to confirm these findings

Impact of tumor necrosis factor antagonist combination and anti-integrin therapies on body mass index in inflammatory bowel disease: A cross-sectional study

BackgroundThe impact of biologic therapies on body mass index (BMI) in patients with inflammatory bowel disease (IBD) is unclear. This study investigates any associations between BMI, type of IBD, and the type of medications taken among patients with IBD with varying weight categories.MethodsA cross sectional study was performed in an IBD tertiary care center. Data was obtained from patients with IBD attending outpatient clinics from January 1st, 2021 until November 1st, 2021. Adult patients, older than 18 years, with a diagnosis of Crohn’s disease (CD) or ulcerative colitis (UC) were recruited. The primary outcome was the association between BMI and medication used in IBD. The secondary outcome was the association between BMI and disease type and location in patients with IBD.ResultsThe study included a total of 528 patients of which, 66.5% have CD. Patients with normal weight comprises 55.9% of the participants, while those who are underweight, overweight or obese are 3.4, 28.2, and 12.5%, respectively. None of the underweight patients had UC. Among the normal weight, overweight and obese BMI categories, 34.6% vs. 36.2% vs. 31.8% had UC, respectively. Patients who are on tumor necrosis factor inhibitors (anti-TNF) with an immunomodulator (anti-TNF combination), are more likely to be overweight or obese than patients who are not on anti-TNF combination (OR 2.86, 95% CI 1.739–4.711, p < 0.001). Patients on vedolizumab are twice as likely to be overweight or obese than patients not on vedolizumab (OR 2.23, 95% CI 1.086–4.584, p < 0.05). Patients with ileocolonic CD are more likely to be overweight or obese compared to other subtypes of CD (OR 1.78, 95% CI 1.14–2.77, p = 0.01).ConclusionMany patients with IBD are either obese or overweight. Patients with IBD who are on anti-TNF combination therapy or vedolizumab monotherapy are more likely to be obese and overweight. In addition, patients will ileocolonic CD are more likely to be obese or overweight

Assessment and Management of Atopic Dermatitis in Primary Care Settings

An increasingly common chronic inflammatory skin condition is atopic dermatitis (AD). It exhibits severe itching as well as recurring eczematous lesions. New difficulties for treatment selection and approach occur with the expansion of available therapy alternatives for healthcare professionals and patients.  The article highlights recent developments in scientific research on atopic dermatitis diagnosis and assessment that have led to the identification of novel therapeutic targets and the development of targeted therapies, both of which have the potential to completely change the way AD is treated, particularly in a primary care setting

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

A first update on mapping the human genetic architecture of COVID-19

peer reviewe

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Systems to Democratize and Standardize Access to Web APIs

Today, many websites offer third-party access to their data through web APIs. However, manually encoding URLs with arbitrary endpoints, parameters, authentication handshakes, and pagination, among other things, makes API use challenging and laborious for programmers and untenable for novices. In addition, each API offers its own idiosyncratic data model, properties, and methods that a new user must learn, even when the sites manage the same common types of information as many others. In this thesis, I show how working with web APIs can be dramatically simplified by describing these APIs using a simple machine-readable ontology. I present a number of systems that can use these descriptions to access arbitrary APIs on the web. The first system lets users query and download data from any described web API. The second system exposes data behind web APIs as connected objects with standard types, allowing users to create interactive web applications that operate on the data accessible through these APIs. And the last system creates bridges between many heterogeneous types of data from different websites, allowing users to link and interact with data drawn from multiple web APIs simultaneouslyPh.D