Preclinical and clinical studies on Qin-Zhu-Liang-Xue decoction: insights from network pharmacology and implications for atopic dermatitis treatment.

To investigate the protective effects and underlying mechanisms of Qin-Zhu-Liang-Xue decoction (QZLX) in atopic dermatitis (AD) and glucocorticoid resistance, we conducted a single-blinded, randomized controlled clinical trial to evaluate the efficacy and safety of this concoction. Network pharmacology analysis was performed and validated through clinical studies. The efficacy, safety, and mechanism of action of QZLX and glucocorticoid receptor (GR) α recombinant protein were assessed in AD mice induced by 2,4-dinitrofluorobenzene (DNFB).

Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers.

In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes complication. Our research uncovers new biomarkers linked to immunogenic cell death (ICD) in DUs by utilizing RNA-sequencing data of Gene Expression Omnibus (GEO) analysis combined with a comprehensive database interrogation. Employing a random forest algorithm, we have developed a diagnostic model that demonstrates improved accuracy in distinguishing DUs from normal tissue, with satisfactory results from ROC analysis.

Liquiritin exerts psoriasis therapy and prevention by regulating the YY1/RBP3 axis.

Background: Psoriasis (PSO) poses a global health threat. The current research challenge in PSO is relapse. Liquiritin (LIQ), a major active compound from Glycyrrhiza inflata Batalin, has multiple pharmacological properties, including anti-inflammatory and anti-proliferative.

The role and therapeutic strategies for tissue-resident memory T cells, central memory T cells, and effector memory T cells in psoriasis.

Psoriasis is a skin disease that is inflammatory and persistent, causing a high rate of recurrence, poor quality of life, and significant socioeconomic burden. Its main pathological manifestations are abnormal activation and infiltration of T cells and excessive proliferation of keratinocytes (KCs). The great majority of patients with psoriasis will relapse after remission.

Identification of angiogenesis-related genes and molecular subtypes for psoriasis based on random forest algorithm.

Psoriasis is a chronic immune-mediated recurrent skin disease causing systemic damage. Increased angiogenesis has been reported to participate in the progression of psoriasis. However, angiogenesis-related genes (ARGs) in psoriasis have not been systematically elucidated.

Formononetin attenuates psoriasiform inflammation by regulating interferon signaling pathway.

Background: Psoriasis is a long-lasting, inflammatory, continuous illness caused through T cells and characterized mainly by abnormal growth and division of keratinocytes. Currently, corticosteroids are the preferred option. However, prolonged use of traditional topical medication can lead to adverse reactions and relapse, presenting a significant therapeutic obstacle.

The therapeutic efficacy and mechanism action of Si Cao formula in the treatment of psoriasis: A pilot clinical investigation and animal validation.

Ethnopharmacological Relevance: Psoriasis is a chronic inflammation and relapsing disease that affected approximately 100 million individuals worldwide. In previous clinical study, it was observed that the topical application of Si Cao Formula (SCF) ameliorated psoriasis skin lesions and reduced the recurrence rate of patients over a period of three months. However, the precise mechanism remains unclear.

Rutin attenuates inflammation by downregulating AGE-RAGE signaling pathway in psoriasis: Network pharmacology analysis and experimental evidence.

Background: Jueyin granules (JYG) is effective against psoriasis, but its utility components are not clear. Rutin is the main monomer of JYG, its therapeutic effect and mechanism on psoriasis need to be further clarified.

Purpose: To explore the potential mechanisms of rutin on psoriasis through network pharmacology and experiments.

The role of neutrophils in diabetic ulcers and targeting therapeutic strategies.

Diabetic ulcers (DUs) are a common complication of diabetes with high morbidity, poor prognosis, and a high socio-economic burden. The main pathological manifestations of DUs are chronic inflammation, impaired re-epithelialization, and impaired angiogenesis. During the inflammatory phase, neutrophils are one of the main DU cell types and act by releasing neutrophil extracellular traps (NETs), leading to poor healing in DUs.

Clinical-mediated discovery of pyroptosis in CD8 T cell and NK cell reveals melanoma heterogeneity by single-cell and bulk sequence.

Histologically, melanoma tissues had fewer positive cells percentage of pyroptosis-related genes (PRGs), GZMA, GSDMB, NLRP1, IL18, and CHMP4A in epidermal than in normal skin. Pyroptosis, a new frontier in cancer, affects the tumor microenvironment and tumor immunotherapy. Nevertheless, the role of pyroptosis remains controversial, which reason is partly due to the heterogeneity of the cellular composition in melanoma.

From gut to skin: exploring the potential of natural products targeting microorganisms for atopic dermatitis treatment.

Atopic dermatitis (AD) is the most common chronic inflammatory skin disease. Recent studies have revealed that interactions between pathogenic microorganisms, which have a tendency to parasitize the skin of AD patients, play a significant role in the progression of the disease. Furthermore, specific species of commensal bacteria in the human intestinal tract can have a profound impact on the immune system by promoting inflammation and pruritogenesis in AD, while also regulating adaptive immunity.

Metabolism-related biomarkers, molecular classification, and immune infiltration in diabetic ulcers with validation.

Diabetes mellitus (DM) can lead to diabetic ulcers (DUs), which are the most severe complications. Due to the need for more accurate patient classifications and diagnostic models, treatment and management strategies for DU patients still need improvement. The difficulty of diabetic wound healing is caused closely related to biological metabolism and immune chemotaxis reaction dysfunction.

Gene set enrichment analysis and ingenuity pathway analysis to verify the impact of Wnt signaling in psoriasis treated with Taodan granules.

Background: Taodan granules (TDGs), traditional Chinese herbals, have effectiveness in relieving skin erythema, scales, and other symptoms of psoriasis. Yet mechanisms of TDGs remain indistinct.

Objective: To indicate the molecular mechanisms of TDGs in treating psoriasis.

Sheng-ji Hua-yu ointment ameliorates cutaneous wound healing in diabetes via up-regulating CCN1.

Ethnopharmacological Relevance: Diabetic ulcers (DUs) are one of the most severe complications of diabetes, and efficacious therapeutic means are currently lacking. Sheng-ji Hua-yu (SJHY) ointment is a classical Chinese traditional prescription that can significantly attenuate DU defects, but the specific mechanism remains to be fully elucidated.

Aim Of The Study: In order to verify the underlying mechanism of SJHY ointment in accelerating the closure of DUs.

Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.

Diabetic ulcers (DUs) are characterised by a high incidence and disability rate. However, its pathogenesis remains elusive. Thus, a deep understanding of the underlying mechanisms for the pathogenesis of DUs has vital implications.

Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.

Psoriasis is a chronic and immune-mediated skin disorder that currently has no cure. Pyroptosis has been proved to be involved in the pathogenesis and progression of psoriasis. However, the role pyroptosis plays in psoriasis remains elusive.

Patient-driven discovery of CCN1 to rescue cutaneous wound healing in diabetes via the intracellular EIF3A/CCN1/ATG7 signaling by nanoparticle-enabled delivery.

Diabetic ulcers (DUs), a devastating complication of diabetes, are intractable for limited effective interventions in clinic. Based on the clinical samples and bioinformatic analysis, we found lower level of CCN1 in DU individuals. Considering the accelerated proliferation effect in keratinocytes, we propose the therapeutic role of CCN1 supplementation in DU microenvironment.

Tobacco smoking was positively associated with metabolic syndrome among patients with psoriasis in Shanghai: A cross-sectional study.

Introduction: A number of studies have reported a high correlation between psoriasis and metabolic syndrome (MetS), and tobacco smoking is one independent risk factor accounting for the increased prevalence both for psoriasis and MetS. However, few studies have been conducted to assess the effects of tobacco smoking on co-morbidities of psoriasis and MetS.

Methods: We conducted a cross-sectional study with 1014 psoriasis patients recruited from January to May 2021.

The Identification of the Biomarkers of Sheng-Ji Hua-Yu Formula Treated Diabetic Wound Healing Using Modular Pharmacology.

Sheng-Ji Hua-Yu (SJHY) formula has been proved to reduce the severity of diabetic wound healing without significant adverse events in our previous clinical trials. However, based on multi-target characteristics, the regulatory network among herbs, ingredients, and hub genes remains to be elucidated. The current study aims to identify the biomarkers of the SJHY formula for the treatment of diabetic wound healing.

Gene set enrichment analysis and ingenuity pathway analysis to identify biomarkers in Sheng-ji Hua-yu formula treated diabetic ulcers.

Ethnopharmacological Relevance: Sheng-ji Hua-yu (SJHY) formula is a Chinese herbal prescription for diabetic ulcers (DUs) treatment, which can accelerate wound reconstruction and shorten the healing time. However, its mechanism role maintains unclear.

Aim Of The Study: To elucidate the molecular mechanisms of SJHY application on DUs.

A Novel Evaluation System of Psoriasis Curative Effect Based on Bayesian Maximum Entropy Weight Self-Learning and Extended Set Pair Analysis.

Background: Psoriasis is a complex skin disease and difficult to evaluate, and this study aimed to provide an objective and systematic approach for evaluating the efficacy of psoriasis.

Methods: We sought to construct a Bayesian network from sixteen indicators in four aspects of psoriasis (skin lesion conditions, laboratory indexes, quality of life, and accompanying symptoms) and obtained weights of each index by combining the analytic hierarchy process with maximum entropy self-learning. Furthermore, we adopted stability analysis to calculate the minimum sample size of the system.