FROM GENE-FINDING TO UNDERSTANDING BIOLOGICAL PATHWAYS TO PSYCHIATRIC DISEASE THROUGH INTERDISCIPLINARITY

2019 ◽  
Vol 29 ◽  
pp. S778-S779
Author(s):  
Barbara Franke
2020 ◽  
Author(s):  
Kevin M Pantalone ◽  
Anita D Misra-Hebert ◽  
Todd M Hobbs ◽  
Sheldon X Kong ◽  
Xinge Ji ◽  
...  

<b>Objective:</b> To assess patient characteristics and treatment factors associated with uncontrolled type 2 diabetes (T2D) and the probability of A1C goal attainment. <p><b>Research Design and Methods</b>: Retrospective cohort study using the electronic health record at Cleveland Clinic. Patients with uncontrolled T2D (A1C>9%) were identified on the index date of 12/31/2016 (n=6,973), grouped by attainment (n=1,653 [24.7%) or non-attainment (n=5,320 [76.3%]) of A1C<8% by 12/31/2017, and subgroups compared on a number of demographic and clinical variables. Based on these variables, a nomogram was created for predicting probability of A1C goal attainment. </p> <p><b>Results:</b> For the entire population, median age at index date was 57.7 years (53.3% male), and the majority were white (67.2%). Median A1C was 10.2%. Obesity (50.6%), cardiovascular disease (46.9%) and psychiatric disease (61.1%) were the most common comorbidities. Metformin (62.7%) and sulfonylureas (38.7%) were the most common anti-diabetes medications. Only 1,653 (24%) patients achieved an A1C <8%. Predictors of increased probability of A1C goal attainment were older age, white/non-Hispanic race/ethnicity, Medicare health insurance, lower baseline A1C, higher frequency of endocrinology/primary care visits, DPP-4i use, thiazolidinedione use, metformin use, GLP-1RA use, and fewer classes of anti-diabetes drugs. Factors associated with lower probability included insulin use and longer time in the T2D database (both presumed as likely surrogates for duration of T2D). </p> <p><b>Conclusions:</b> A minority of patients with an A1C>9% achieved an A1C<8% at one year. While most identified predictive factors are non-modifiable by the clinician, pursuit of frequent patient engagement and tailored drug regimens may help improve A1C goal attainment. </p>


2020 ◽  
Vol 20 (6) ◽  
pp. 444-465 ◽  
Author(s):  
Jessica Ceramella ◽  
Domenico Iacopetta ◽  
Alexia Barbarossa ◽  
Anna Caruso ◽  
Fedora Grande ◽  
...  

Protein Kinases (PKs) are a heterogeneous family of enzymes that modulate several biological pathways, including cell division, cytoskeletal rearrangement, differentiation and apoptosis. In particular, due to their crucial role during human tumorigenesis and cancer progression, PKs are ideal targets for the design and development of effective and low toxic chemotherapeutics and represent the second group of drug targets after G-protein-coupled receptors. Nowadays, several compounds have been claimed to be PKs inhibitors, and some of them, such as imatinib, erlotinib and gefitinib, have already been approved for clinical use, whereas more than 30 others are in various phases of clinical trials. Among them, some natural or synthetic carbazole-based molecules represent promising PKs inhibitors due to their capability to interfere with PK activity by different mechanisms of action including the ability to act as DNA intercalating agents, interfere with the activity of enzymes involved in DNA duplication, such as topoisomerases and telomerases, and inhibit other proteins such as cyclindependent kinases or antagonize estrogen receptors. Thus, carbazoles can be considered a promising this class of compounds to be adopted in targeted therapy of different types of cancer.


Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 665
Author(s):  
Hui Yu ◽  
Yan Guo ◽  
Jingchun Chen ◽  
Xiangning Chen ◽  
Peilin Jia ◽  
...  

Transcriptomic studies of mental disorders using the human brain tissues have been limited, and gene expression signatures in schizophrenia (SCZ) remain elusive. In this study, we applied three differential co-expression methods to analyze five transcriptomic datasets (three RNA-Seq and two microarray datasets) derived from SCZ and matched normal postmortem brain samples. We aimed to uncover biological pathways where internal correlation structure was rewired or inter-coordination was disrupted in SCZ. In total, we identified 60 rewired pathways, many of which were related to neurotransmitter, synapse, immune, and cell adhesion. We found the hub genes, which were on the center of rewired pathways, were highly mutually consistent among the five datasets. The combinatory list of 92 hub genes was generally multi-functional, suggesting their complex and dynamic roles in SCZ pathophysiology. In our constructed pathway crosstalk network, we found “Clostridium neurotoxicity” and “signaling events mediated by focal adhesion kinase” had the highest interactions. We further identified disconnected gene links underlying the disrupted pathway crosstalk. Among them, four gene pairs (PAK1:SYT1, PAK1:RFC5, DCTN1:STX1A, and GRIA1:MAP2K4) were normally correlated in universal contexts. In summary, we systematically identified rewired pathways, disrupted pathway crosstalk circuits, and critical genes and gene links in schizophrenia transcriptomes.


2021 ◽  
Author(s):  
Kevin Chappell ◽  
Kanishka Manna ◽  
Charity L. Washam ◽  
Stefan Graw ◽  
Duah Alkam ◽  
...  

Multi-omics data integration of triple negative breast cancer (TNBC) provides insight into biological pathways.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1303.2-1304
Author(s):  
J. Gratacos-Masmitja ◽  
J. L. Álvarez Vega ◽  
E. Beltrán ◽  
A. Urruticoechea-Arana ◽  
C. Fito-Manteca ◽  
...  

Background:Apremilast is a non-biologic systemic agent approved for the treatment of plaque psoriasis, oral ulcers of Behcet’s disease and PsA with proven efficacy in clinical trials [1,2]. However, more real-world evidence of apremilast use and effectiveness is needed to identify the patient profile most likely to benefit from this treatment [3].Objectives:To evaluate the persistence of apremilast treatment in patients with PsA naïve to biological treatments in routine clinical practice and assess its effectiveness. Baseline clinical characteristics on patients who started apremilast were also evaluated.Methods:Observational, prospective, multicenter (20 centers) study including consecutive adult patients with PsA naïve to biological therapies who had started treatment with apremilast during the previous 5 to 7 months and were followed-up during 12 months. Variables recorded were persistence of treatment with apremilast at 6 months (6mo) and number of swelling joints, presence of enthesitis and dactylitis, and disease activity, measured by the Disease Activity in Psoriatic Arthritis (DAPSA) score and Physician Global Assessment (PGA) of psoriasis, collected at baseline (BL) (i.e., apremilast treatment start) and 6mo; comorbidities were retrospectively collected at BL. Categorical and quantitative variables were compared using McNemar’s and Wilcoxon test, respectively. Data sets analyzed included all assessable patients.Results:Of the 60 patients recruited at the time of this interim analysis, 54 (90.0%) [mean (SD) age 53.4 (13.9) years] were assessable; 41 (75.9%) of these continued treatment with apremilast at 6mo. At BL, 34 (63.0%) patients had at least one comorbidity, the most frequent being cardiovascular disease (n=15, 27.8%), including hypertension (n=8, 14.8%), metabolic/endocrine disease (n=18, 33.3%), including obesity (n=8, 14.8%) and dyslipidemia (n=10, 18.5%). Psychiatric disease (i.e., depression) (n=5, 9.3%) and neoplasia (n=8, 14.8%) were also observed. The number of swelling joints decreased from median (Q1, Q3) 4.0 (2.0, 7.0) at BL to 1.5 (0.0, 4.0) at 6mo (p=0.0012). Patients with dactylitis and enthesitis decreased from 19 (35.2%) and 16 (29.6%) at BL to 10 (18.5%) and 9 (16.7%) at 6mo (p=0.0225 and p=0.0391), respectively. The distribution of patients in the different disease activity categories according to DAPSA scale changed between BL and 6mo, indicating a favorable disease evolution (Figure 1 next page). According to PGA, at BL (n=53), disease activity was categorized as mild in 18.0%, as moderate in 72.0%, and as severe in 10% of patients and, at 6mo (n=54), as mild in 70.6%, as moderate in 25.5%, and as severe in 3.9% of patients. Fifteen (27.8%) patients interrupted treatment permanently (n=13, 24.1%) or temporarily (n=2, 3.7%), due to no/partial response (n=8, 14.8%), tolerability issues leading to adverse events (n=3, 5.6%), patient decision (n=2, 3.7%), and other reasons (n=2, 3.7%) after a mean (SD) treatment of 3.05 (2.20) months.Conclusion:Forty-one (75.9%) patients with PsA naïve to biological therapies were treated with apremilast during ≥6 months. After treatment, the number of swelling joints, and dactylitis and enthesitis decreased and changes in disease activity according to DAPSA and PGA pointed to a favorable disease evolution. Apremilast treatment provides a clinical benefit to patients with PsA treated in clinical practice.References:[1]Gossec L, Smolen JS, Ramiro S, et al. European League Against Rheumatism (EULAR) recommendations for the management of psoriatic arthritis with pharmacological therapies: 2015 update. Ann Rheum Dis. 2016 Feb 10;75(3):499 LP-510[2]Torres T and Puig L. Apremilast: A novel oral treatment for psoriasis and psoriatic arthritis. Am J clin Dermatol. 2018 Feb;19(1):23-32[3]Coates LC, Kavanaugh A, Mease PJ et al. Group for Research and Assessment of Psoriasis and Psoriatic Arthritis 2015. Treatment Recommendations for Psoriatic Arthritis. Arthritis Rheumatol. 2016;68(5):1060– 71.Disclosure of Interests:Jordi Gratacos-Masmitja Speakers bureau: MSD, Pfizer, AbbVie, Janssen Cilag, Novartis, Celgene y Lilly., Consultant of: MSD, Pfizer, AbbVie, Janssen Cilag, Novartis, Celgene y Lilly., José Luis Álvarez Vega Speakers bureau: Abbvie, Amgen, MSD, Lilly, Roche, Esteve, UCB, Menarini, Pfizer, GSK, BMS, Janssen, Novartis, Gebro., Consultant of: Abbvie, Amgen, MSD, Lilly, Roche, Esteve, UCB, Menarini, Pfizer, GSK, BMS, Janssen, Novartis, Gebro., Grant/research support from: Abbvie, Amgen, MSD, Lilly, Roche, Esteve, UCB, Menarini, Pfizer, GSK, BMS, Janssen, Novartis, Gebro., Emma Beltrán Speakers bureau: Abbvie, Bristol, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB, Consultant of: Abbvie, Bristol, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB, ANA URRUTICOECHEA-ARANA: None declared., C. Fito-Manteca: None declared., Francisco Maceiras: None declared., Joaquin Maria Belzunegui Otano Speakers bureau: Lilly, Amgen, Novartis, Abbvie, Janssen., J. Fernández-Melón Speakers bureau: Amgen SL, Eugenio Chamizo Carmona: None declared., Abad Hernández Speakers bureau: MSD, Abbvie, Pfizer, Kern, Novartis, Biogen, Sandoz, Amgen, Sanofi, Lilly, Roche and Janssen-Cilag, Consultant of: MSD, Abbvie, Pfizer, Kern, Novartis, Biogen, Sandoz, Amgen, Sanofi, Lilly, Roche and Janssen-Cilag, Grant/research support from: MSD, Abbvie, Pfizer, Kern, Novartis, Biogen, Sandoz, Amgen, Sanofi, Lilly, Roche and Janssen-Cilag, Inmaculada Ros Consultant of: Amgen, Grant/research support from: MSD, Roche, Novartis, lilly, Pfizer, Amgen, Eva Pascual Shareholder of: Amgen, Employee of: Amgen, Juan Carlos Torre Speakers bureau: Amgen, Lilly, Novartis, Janssen, Pfizer, Consultant of: Amgen, Lilly, Novartis, Janssen, Pfizer, Grant/research support from: Amgen, Lilly, Novartis, Janssen, Pfizer.


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