The metabolomics of psoriatic disease.
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ABSTRACT:
SUBMITTER: Yan D
PROVIDER: S-EPMC5562362 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
The metabolomics of psoriatic disease.
Yan Di D Afifi Ladan L Jeon Caleb C Trivedi Megha M Chang Hsin Wen HW Lee Kristina K Liao Wilson W
Psoriasis (Auckland, N.Z.) 20170131
Metabolomics is an emerging new "omics" field involving the systematic analysis of the metabolites in a biologic system. These metabolites provide a molecular snapshot of cellular activity and are thus important for understanding the functional changes in metabolic pathways that drive disease. Recently, metabolomics has been used to study the local and systemic metabolic changes in psoriasis and its cardiometabolic comorbidities. Such studies have revealed novel insights into disease pathogenesi ...[more]
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Project description:Metabolomics investigates a broad range of small molecules, allowing researchers to understand disease-related changes downstream of the genome and proteome in response to external environmental stimuli. It is an emerging technology that holds promise in identifying biomarkers and informing the practice of precision medicine. In this review, we summarize the studies that have examined endogenous metabolites in patients with psoriasis and/or psoriatic arthritis using nuclear magnetic resonance (NMR) or mass spectrometry (MS) and were published through 26 January 2021. A standardized protocol was used for extracting data from full-text articles identified by searching OVID Medline ALL, OVID Embase, OVID Cochrane Central Register of Controlled Trials and BIOSIS Citation Index in Web of Science. Thirty-two studies were identified, investigating various sample matrices and employing a wide variety of methods for each step of the metabolomics workflow. The vast majority of studies identified metabolites, mostly amino acids and lipids that may be associated with psoriasis diagnosis and activity. Further exploration is needed to identify and validate metabolomic biomarkers that can accurately and reliably predict which psoriasis patients will develop psoriatic arthritis, differentiate psoriatic arthritis patients from patients with other inflammatory arthritides and measure psoriatic arthritis activity.
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Project description:ImportanceWhile "omics" studies have advanced our understanding of inflammatory skin diseases, metabolomics is mostly an unexplored field in dermatology.ObjectiveWe sought to elucidate the pathogenesis of psoriatic diseases by determining the differences in metabolomic profiles among psoriasis patients with or without psoriatic arthritis and healthy controls.DesignWe employed a global metabolomics approach to compare circulating metabolites from patients with psoriasis, psoriasis and psoriatic arthritis, and healthy controls.SettingStudy participants were recruited from the general community and from the Psoriasis Clinic at the University of California Davis in United States.ParticipantsWe examined metabolomic profiles using blood serum samples from 30 patients age and gender matched into three groups: 10 patients with psoriasis, 10 patients with psoriasis and psoriatic arthritis and 10 control participants. Main outcome(s) and measures(s): Metabolite levels were measured calculating the mean peak intensities from gas chromatography time-of-flight mass spectrometry.ResultsMultivariate analyses of metabolomics profiles revealed altered serum metabolites among the study population. Compared to control patients, psoriasis patients had a higher level of alpha ketoglutaric acid (Pso: 288 ± 88;Control209 ± 69; p=0.03), a lower level of asparagine (Pso: 5460 ± 980;Control7260 ± 2100; p=0.02), and a lower level of glutamine (Pso: 86000 ± 20000;Control111000 ± 27000; p=0.02). Compared to control patients, patients with psoriasis and psoriatic arthritis had increased levels of glucuronic acid (Pso + PsA: 638 ± 250;Control347 ± 61; p=0.001). Compared to patients with psoriasis alone, patients with both psoriasis and psoriatic arthritis had a decreased level of alpha ketoglutaric acid (Pso + PsA: 186 ± 80; Pso: 288 ± 88; p=0.02) and an increased level of lignoceric acid (Pso + PsA: 442 ± 280; Pso: 214 ± 64; p=0.02).Conclusions and relevanceThe metabolite differences help elucidate the pathogenesis of psoriasis and psoriatic arthritis and they may provide insights for therapeutic development.
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Project description:Psoriasis is now considered to be the cutaneous phenotype of a systemic inflammatory condition, recognized under the term Psoriatic Disease (PsD). PsD has several extracutaneous manifestations, such as inflammatory articular and entheseal involvement, leading to psoriatic arthritis (PsA), and the less frequent intestinal and ocular manifestations with colitis/inflammatory bowel disease and uveitis, respectively. There have also been several reports of an increased frequency of comorbidities such as hypertension, diabetes, dyslipidemia, obesity, metabolic syndrome and cardiovascular manifestations during the course of PsD. The link between psoriasis and related comorbidities is considered a long-term disease sequela, often characterized by an unhealthy lifestyle and a consequence of systemic inflammation; hence, psoriasis requires adequate and prompt treatment, with the aim of controlling not only cutaneous manifestations but also extracutaneous manifestations and systemic inflammation. Pharmacological strategies for PsD have significantly increased over recent years. Recently, the targeted synthetic DMARDs, Janus kinase (JAK) inhibitors, tofacitinib and upadacitinib, were added to the therapeutic armamentarium for treating PsA, and deucravacitinib for psoriasis. These oral agents act directly on inflammatory mechanisms underlining the disease, as antagonists of the intracellular JAK signal pathway and, by STAT phosphorylation, inhibit gene proinflammatory cytokine transcription. JAK inhibitors represent a recent additional treatment strategy for PsD management and, among these, tofacitinib and upadacitinib have recently been approved for PsA, and deucravacitinib for psoriasis. In this review we describe ongoing and recent phase II and III randomized controlled trials (RCTs) evaluating the efficacy and safety of investigational JAK inhibitors in psoriasis and PsA.
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Project description:Psoriatic arthritis (PsA) is a chronic inflammatory joint disease, and the diagnosis is quite difficult due to the unavailability of reliable clinical markers. This study aimed to investigate the fecal metabolites in PsA by comparison with rheumatoid arthritis (RA), and to identify potential diagnostic biomarkers for PsA. The metabolic profiles of the fecal samples from 27 PsA and 29 RA patients and also 36 healthy controls (HCs) were performed on ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). And differentially altered metabolites were screened and assessed using multivariate analysis for exploring the potential biomarkers of PsA. The results showed that 154 fecal metabolites were significantly altered in PsA patients when compared with HCs, and 45 metabolites were different when compared with RA patients. A total of 14 common differential metabolites could be defined as candidate biomarkers. Furthermore, a support vector machines (SVM) model was performed to distinguish PsA from RA patients and HCs, and 5 fecal metabolites, namely, α/β-turmerone, glycerol 1-hexadecanoate, dihydrosphingosine, pantothenic acid and glutamine, were determined as biomarkers for PsA. Through the metabolic pathways analysis, we found that the abnormality of amino acid metabolism, bile acid metabolism and lipid metabolism might contribute to the occurrence and development of PsA. In summary, our research provided ideas for the early diagnosis and treatment of PsA by identifying fecal biomarkers and analyzing metabolic pathways.
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Project description:BackgroundArtificial intelligence (AI) has many applications in numerous medical fields, including dermatology. Although the majority of AI studies in dermatology focus on skin cancer, there is growing interest in the applicability of AI models in inflammatory diseases, such as psoriasis. Psoriatic disease is a chronic, inflammatory, immune-mediated systemic condition with multiple comorbidities and a significant impact on patients' quality of life. Advanced treatments, including biologics and small molecules, have transformed the management of psoriatic disease. Nevertheless, there are still considerable unmet needs. Globally, delays in the diagnosis of the disease and its severity are common due to poor access to health care systems. Moreover, despite the abundance of treatments, we are unable to predict which is the right medication for the right patient, especially in resource-limited settings. AI could be an additional tool to address those needs. In this way, we can improve rates of diagnosis, accurately assess severity, and predict outcomes of treatment.ObjectiveThis study aims to provide an up-to-date literature review on the use of AI in psoriatic disease, including diagnostics and clinical management as well as addressing the limitations in applicability.MethodsWe searched the databases MEDLINE, PubMed, and Embase using the keywords "AI AND psoriasis OR psoriatic arthritis OR psoriatic disease," "machine learning AND psoriasis OR psoriatic arthritis OR psoriatic disease," and "prognostic model AND psoriasis OR psoriatic arthritis OR psoriatic disease" until June 1, 2023. Reference lists of relevant papers were also cross-examined for other papers not detected in the initial search.ResultsOur literature search yielded 38 relevant papers. AI has been identified as a key component in digital health technologies. Within this field, there is the potential to apply specific techniques such as machine learning and deep learning to address several aspects of managing psoriatic disease. This includes diagnosis, particularly useful for remote teledermatology via photographs taken by patients as well as monitoring and estimating severity. Similarly, AI can be used to synthesize the vast data sets already in place through patient registries which can help identify appropriate biologic treatments for future cohorts and those individuals most likely to develop complications.ConclusionsThere are multiple advantageous uses for AI and digital health technologies in psoriatic disease. With wider implementation of AI, we need to be mindful of potential limitations, such as validation and standardization or generalizability of results in specific populations, such as patients with darker skin phototypes.
| S-EPMC11525079 | biostudies-literature
Project description:Psoriatic disease (PsD) is a chronic disease affecting skin (psoriasis) and joints (psoriatic arthritis, PsA) that has a significant impact on patients' quality of life (QOL). We report findings from the Japanese subgroup of patients included in Psoriasis and Beyond: The Global Psoriatic Disease Survey, a cross-sectional, quantitative online survey of patients with self-reported, healthcare professional (HCP)-diagnosed, moderate-to-severe plaque psoriasis, with or without PsA. Eligible patients who were recruited online completed a 25-min internet-based survey in Japanese. We assessed patients' understanding of the systemic nature of PsD, disease burden, perception towards their HCPs, treatment expectations, and satisfaction with care. Of the 148 patients, 74% were females. In total, 65% of patients were aware of the systemic nature of their disease. A minority of patients (27%) were aware that PsA was related to their psoriasis, and 30% and 42% of patients were unaware of any manifestations and comorbidities, respectively, related to PsD. Overall, 21% of patients reported that their disease has a "very large" to "extremely large" impact on their QOL (assessed by Dermatology Life Quality Index score), while the majority (61%) reported a "small" effect or "no effect" at all on QOL. Patients experienced stigma and discrimination and had a negative impact on relationships due to PsD. More patients with psoriasis and concomitant PsA (66%) were satisfied with their current treatment than those with psoriasis alone (46%). Overall, 41% of patients were not involved in deciding their treatment goals. These results suggest that Japanese patients may not be fully aware of the systemic nature of PsD, its manifestations and comorbidities. While these patients were somewhat satisfied with their current treatment, they were only occasionally consulted in deciding treatment goals. Policy measures are required to address the stigma and discrimination experienced by patients. Increased patient participation in their care supports shared decision-making and enhanced treatment outcomes.
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Project description:Psoriasis and psoriatic arthritis, together known as psoriatic disease, is highly prevalent chronic relapsing inflammatory disease affecting skin, joints or both and is associated with several comorbidities such as cardiovascular, metabolic, psychiatric, renal disease etc. The etiopathogenesis of psoriasis is complex and mainly driven by aberrant immune response owing to the genetic susceptibility and various environmental factors such as trauma, infections and drugs. Recent advances in understanding molecular and cellular pathways have identified tumor necrosis factor-α (TNF-α), interleukin-17 (IL-17), IL-23, IL-22 as major contributors in psoriasis pathogenesis. Advances in the knowledge of pathophysiology, the interaction of autoinflammation and clinical phenotypes have led to the development of highly effective targeted therapeutic agents which include TNF-α, IL-17, IL-23, IL-1 α/β or IL-36 inhibitors or receptor blockers, small molecule drugs like phosphodiesterase-4 inhibitors (apremilast), Janus kinase (JAK) inhibitors, retinoic acid receptor-related orphan receptor γt (RORγt) inhibitors. These novel drugs have promised the potential of improved disease control. In recent years, the transition from biologics to biosimilars especially with TNF-α inhibitors had significant impact on decreasing health care cost and increasing therapeutic options to the patients. However, selection of right treatment for an individual patient still remains challenging. Moreover, interplay between different epigenetic mechanisms such as the DNA methylation, chromatin modifications and noncoding RNA regulation has recently been started to be deciphered. Enzymes inhibitors involved in epigenetic pathways such as DNA methyltransferases and histone deacetylases demonstrated to restore normal epigenetic patterns in clinical settings and have provided the potential as novel therapeutic targets for psoriasis. In this review, we will discuss novel biologic agents and newer therapeutic approaches in treatment of psoriatic disease.
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Project description:Psoriasis is an immune-mediated disease, with the interleukin (IL)-23/IL-17 axis currently considered its main pathogenic pathway. Tyrosine kinase 2 (TYK2) is responsible for mediating immune signalling of IL-12, IL-23 and type I interferons, without interfering with other critical systemic functions as other JAK proteins do. This article aims to review the current knowledge on deucravacitinib, a new oral drug that selectively inhibits TYK2, granting it a low risk of off-target effects. After good efficacy and safety results in a phase II, placebo-controlled trial, two phase III, 52-week trials evaluated deucravacitinib 6 mg against placebo and apremilast-an active comparator. POETYK PSO-1 and PSO-2 involved 1688 patients with moderate-to-severe psoriasis. After 16 weeks, in both studies, over 50% of patients treated with deucravacitinib reached PASI75, which was significantly superior to placebo and apremilast. In POETYK PSO-1, these results improved until week 24 and were maintained through week 52, with over 65% of patients achieving PASI75 at this point. A reduction in signs and symptoms was also reported by patients, with greater impact on itch. Deucravacitinib was well tolerated and safe. There were no reports of serious infections, thromboembolic events, or laboratory abnormalities, which are a concern among other JAK inhibitors. Persistent efficacy and consistent safety profiles were reported for up to 2 years. Despite advances in the treatment of psoriasis, namely among biologic agents, an oral, effective and safe new drug can bring several advantages to prescribers and patients. Further investigation is required to understand where to place deucravacitinib among current psoriasis treatment options.
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Project description:OBJECTIVE:Probiotics have been hypothesized to mediate inflammation through gut microbiome modulation. Spondyloarthropathies have subclinical gut inflammation associated with inflammatory disease that may benefit from probiotic use. We aimed to evaluate associations between probiotic use and patient-reported outcomes in patients with psoriatic arthritis (PsA). METHODS:Using FORWARD, The National Databank for Rheumatic Diseases, we examined probiotic use among patients with PsA and rheumatoid arthritis (RA), a comparator in which gut inflammation is less clearly related to pathogenesis. Patient-reported outcome measures such as pain and physical function were compared for probiotic users and nonusers among patients with PsA and RA. Patients were propensity score-matched for taking a probiotic by demographics and nonmedication supplements. RESULTS:More patients have reported probiotic use over the past decade, with less than 1% reporting use in 2008 and approximately 7% in 2018. Probiotic users are more likely to be white women with higher education, income, and supplement use. Following propensity score matching, probiotic users with PsA had significantly lower Short Form 36 Physical Component Summary (SF-36 PCS) scores and higher pain scores than nonusers with PsA (33.11 ± 11.50 vs. 40.82 ± 11.03; P = 0.04 and 4.78 ± 3.09 vs. 3.00 ± 2.58; P = 0.03). There were no significant differences in Patient Activity Scale II, Health Assessment Questionnaire II, SF-36 PCS, and Short Form 36 Mental Component Summary scores or pain among users with PsA before and after probiotic initiation. CONCLUSION:We found increasing probiotic use in patients with PsA and important differences between users and nonusers. After accounting for these differences, we found no statistical difference in health outcomes after probiotic use.
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