Humans ; Drug Monitoring/methods* ; Child ; Inflammatory Bowel Diseases/drug therapy* ; Immunosuppressive Agents/therapeutic use* ; China ; Biological Products/therapeutic use*

Flavoprotein monooxygenases(FPMOs) and cytochrome P450(CYP450) oxygenases are pivotal monooxygenases in nature, catalyzing crucial redox reactions in diverse biological processes and contributing to the synthesis of highly complex natural products. While CYP450 enzymes have been extensively reported and studied, numerous FPMOs have also been discovered in past research endeavors, yet their classification, catalytic reactions, and catalytic mechanisms remain to be systematically analyzed. This paper comprehensively reviews the latest advancements in FPMOs research, initiating with a classification based on sequence similarities and distinct structural features. It delves into the catalytic characteristics of three subfamilies(FMO, BVMO, and NMO) within Class B FPMOs of plants, which are integral to biosynthetic pathways of natural products. Class B FPMOs encompass two canonical Rossmann fold motifs(FAD-binding GxGxxG and NADPH-binding GxGxxA), along with a central FMO recognition motif FxGxxxHxxxF/Y/W. These enzymes play a key role in regulating various metabolic routes and precisely modulate plant growth and development. Furthermore, the review summarizes the applications of Class B FPMOs of plants, showcasing through concrete examples their potential in synthesizing natural products such as auxins, indigo, and cyanogenic glycosides. These insights will broaden and deepen our understanding of FPMOs, fostering their transition from fundamental research to practical applications. More optimized biosynthetic pathways can be devised by leveraging FPMOs, conducive to the development of novel strategies and tools for agriculture, plant protection, natural product biosynthesis, and synthetic biology.
Biological Products/metabolism* ; Mixed Function Oxygenases/chemistry* ; Flavoproteins/chemistry* ; Plants/metabolism* ; Plant Proteins/chemistry* ; Cytochrome P-450 Enzyme System/genetics*

In recent years, there has been a growing interest in the research on NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome inhibitors in the treatment of inflammatory diseases. The NLRP3 inflammasome is integral to the innate immune response, and its abnormal activation can lead to the release of pro-inflammatory cytokine, consequently facilitating the progression of various pathological conditions. Therefore, investigating the pharmacological inhibition pathway of the NLRP3 inflammasome represents a promising strategy for the treatment of inflammation-related diseases. Currently, the Food and Drug Administration(FDA) has not approved drugs targeting the NLRP3 inflammasome for clinical use due to concerns regarding liver toxicity and gastrointestinal side effects associated with chemical small molecule inhibitors in clinical trials. Natural small molecule compounds such as polyphenols, flavonoids, and alkaloids are ubiquitously found in animals, plants, and other natural substances exhibiting pharmacological activities. Their abundant sources, intricate and diverse structures, high biocompatibility, minimal adverse reactions, and superior biochemical potency in comparison to synthetic compounds have attracted the attention of extensive scholars. Currently, certain natural small molecule compounds have been demonstrated to impede the activation of the NLRP3 inflammasome via various action mechanisms, so they are viewed as the innovative, feasible, and minimally toxic therapeutic agents for inhibiting NLRP3 inflammasome activation in the treatment of both acute and chronic inflammatory diseases. Hence, this study systematically examined the effects and potential mechanisms of natural small molecule compounds derived from traditional Chinese medicine on the activation of NLRP3 inflammasomes at their initiation, assembly, and activation stages. The objection is to furnish theoretical support and practical guidance for the effective clinical application of these natural small molecule inhibitors.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/metabolism* ; Inflammation/drug therapy* ; Anti-Inflammatory Agents/therapeutic use* ; Humans ; Animals ; Disease Models, Animal ; Biological Products/therapeutic use* ; Drug Discovery ; Medicine, Chinese Traditional/methods*

OBJECTIVE: To assess the impact of long-term biologic therapy on metabolic biochemical parameters in moderate to severe plaque psoriasis patients. METHODS: The study included patients over 18 years old who had been treated by biological agents for at least 24 weeks for moderate to severe plaque psoriasis from Novermber 2015 to January 2024. According to the biological agents the patients used, they were divided into three groups: interleukin-17 (IL-17) inhibitor group, IL-23 and IL-12/23 inhibitor group and tumor necrosis factor-α (TNF-α) inhibitor group. The metabolic biochemical parameters of each group were evaluated and compared before and after the administration of the biologic therapies. RESULTS: A total of 174 patients with moderate to severe plaque psoriasis were included in the long-term treatment with biologics, including 127 males (73.00%), 47 females (27.00%), with a median age of 38.00 (31.50, 49.00) years and a median duration of psoriasis of 12.00 (10.00, 20.00) years. The median duration of biologic treatment was 61.00 (49.00, 96.25) weeks, ranging from 26 to 301 weeks. There were 101 patients in the IL-17 inhibitor group, 38 patients in the IL-23 and IL-12/23 inhibitor group, and 35 patients in the TNF-α inhibitor group. After long-term treatment with IL-17 inhibitors, no statistically significant changes were observed in body weight, body mass index (BMI), alanine aminotransferase (ALT), aspartate aminotransferase (AST), fasting glucose (GLU), total cholesterol (TC), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) compared with baseline measurements (P>0.05). However, low-density lipoprotein cholesterol (LDL-C) levels were significantly reduced [(2.90±0.75) mmol/L vs. (3.05±0.79) mmol/L, t=－2.100, P=0.038], while uric acid (UA) levels showed a significant increase [(401.13±99.13) μmol/L vs. (364.94±91.11) μmol/L, t=5.215, P < 0.001]. The group with normal UA levels before treatment showed a significant increase after long-term application of biological agents compared with before treatment [(370.69± 89.59) μmol/L vs. (324.66±64.50) μmol/L, t=5.856, P < 0.001]. Following long-term application of IL-23 and IL-12/23 inhibitors, no statistically significant differences were observed in body weight, BMI, ALT, AST, GLU, TC, TG, HDL-C and UA levels when compared with baseline measurements (P> 0.05). However, LDL-C levels exhibited a significant reduction from baseline [(2.85±0.74) mmol/L vs. (3.12±0.68) mmol/L, t=－2.082, P=0.045]. After long-term treatment with TNF-α inhibitor, there were no significant differences in body weight, BMI, ALT, AST, GLU, TC, TG, HDL-C, LDL-C and UA compared with baseline measurements (P>0.05). CONCLUSION Long-term application of IL-17 inhibitors in moderate to severe plaque psoriasis patients may result in elevated uric acid levels, particularly in patients with normal uric acid levels before treatment. The long-term use of IL-17 inhibitors, IL-23 inhibitors or IL-12/23 inhibitors might reduce LDL-C levels.
Humans ; Psoriasis/blood* ; Male ; Female ; Adult ; Middle Aged ; Interleukin-17/antagonists & inhibitors* ; Interleukin-23/antagonists & inhibitors* ; Tumor Necrosis Factor-alpha/antagonists & inhibitors* ; Interleukin-12/antagonists & inhibitors* ; Biological Therapy ; Biological Products/therapeutic use* ; Triglycerides/blood* ; Cholesterol, LDL/blood* ; Cholesterol, HDL/blood*

Chronic obstructive pulmonary disease (COPD) currently lacks effective treatments to halt disease progression, making the search for preventive and therapeutic drugs a pressing issue. Natural products, with their accessibility, affordability, and low toxicity, offer promising avenues. Investigating the pharmacological effects and related signaling mechanisms of active components from natural products on COPD animal models induced by various triggers has become an important focus. In animal models induced by cigarette smoke, cigarette smoke combined with lipopolysaccharide (LPS), air pollution, elastase, bacterial or viral infections, the active compounds of natural products, such as flavonoids, terpenoids, and phenolics, can exert anti-inflammatory, antioxidant, mucus-regulating, and airway remodeling-inhibiting effects through key signaling pathways including nuclear factor-erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1), nuclear factor-kappa B (NF-κB), and mitogen-activated protein kinase (MAPK). These findings not only provide a theoretical basis for the clinical diagnosis and treatment of COPD but also point to new directions for future scientific research.
Pulmonary Disease, Chronic Obstructive/etiology* ; Animals ; Disease Models, Animal ; Biological Products/pharmacology* ; Humans ; NF-kappa B/metabolism* ; Flavonoids/pharmacology* ; Signal Transduction/drug effects* ; Anti-Inflammatory Agents/pharmacology* ; Heme Oxygenase-1/metabolism* ; Terpenes/pharmacology* ; Antioxidants/pharmacology* ; NF-E2-Related Factor 2/metabolism* ; Smoke/adverse effects* ; Phenols/therapeutic use*

Artificial intelligence (AI) has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research. Natural medicines, characterized by their complex chemical compositions and multifaceted pharmacological mechanisms, demonstrate widespread application in treating diverse diseases. However, research and development face significant challenges, including component complexity, extraction difficulties, and efficacy validation. AI technology, particularly through deep learning (DL) and machine learning (ML) approaches, enables efficient analysis of extensive datasets, facilitating drug screening, component analysis, and pharmacological mechanism elucidation. The implementation of AI technology demonstrates considerable potential in virtual screening, compound optimization, and synthetic pathway design, thereby enhancing natural medicines' bioavailability and safety profiles. Nevertheless, current applications encounter limitations regarding data quality, model interpretability, and ethical considerations. As AI technologies continue to evolve, natural medicines research and development will achieve greater efficiency and precision, advancing both personalized medicine and contemporary drug development approaches.
Biological Products/pharmacology* ; Artificial Intelligence ; Humans ; Drug Discovery/methods* ; Machine Learning ; Deep Learning

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Stroke is the second leading cause of disability and mortality worldwide, imposing a substantial socioeconomic burden on individuals and healthcare systems. Annually, approximately 14 million people experience stroke, with ischemic stroke comprising nearly 85% of cases, of which 10% to 20% involve large vessel occlusions. Currently, recombinant tissue plasminogen activator (tPA) remains the only approved pharmacological intervention. However, its utility is limited due to a narrow therapeutic window and low recanalization rates, making it applicable to only a minority of patients. Therefore, there is an urgent need for novel therapeutic strategies, including pharmacological advancements and combinatory treatments. Small-molecule natural medicines, particularly those derived from traditional Chinese herbs, have demonstrated significant therapeutic potential in ischemic stroke management. These compounds exert multiple neuroprotective effects, such as antioxidation, anti-inflammatory action, and inhibition of apoptosis, all of which are critical in mitigating stroke-induced cerebral damage. This review comprehensively examines the pathophysiology of acute ischemic stroke (AIS) and highlights the recent progress in the development of small-molecule natural medicines as promising therapeutic agents for cerebral ischemic stroke.
Humans ; Ischemic Stroke/physiopathology* ; Animals ; Neuroprotective Agents/therapeutic use* ; Drugs, Chinese Herbal/chemistry* ; Biological Products/therapeutic use* ; Stroke/drug therapy*

Natural medicines (NMs) demonstrate distinct advantages in the clinical management of chronic diseases. Recent years have seen growing recognition of the gut microbiota's role in the efficacy and synergy of NMs, providing new impetus for elucidating the material basis and mechanisms of NMs and their path toward modernization. A fundamental question that has emerged is how NM-microbiota interactions integrate into the multi-target holistic mechanisms of NMs, the answer to which may also illuminate new avenues for drug discovery. Metabolic regulation via small-molecule metabolites has been increasingly implicated in host-microbe interaction. This review presents an integral metabolic perspective on NMs-microbiota interaction in host health and disease. It highlights the emerging understanding of gut microbiota-related metabolic signals implicated in NM components' local and systemic actions. Additionally, it discusses key issues and prospects related to drug development and the translational study of NMs.
Gastrointestinal Microbiome/drug effects* ; Humans ; Biological Products/metabolism* ; Animals

Plant-derived natural products have long been a vital source for developing therapeutic drugs. Wedelolactone (WDL), a coumestan isolated from Eclipta prostrata, Wedelia calendulacea, Wedelia chinensis, and Sphagneticola trilobata, demonstrates a broad spectrum of therapeutic potential, including anticancer, anti-inflammatory, anti-obesity, anti-myotoxic, antimicrobial, anti-diabetic, and tissue-protective activities. This review synthesizes information on the isolation, total synthesis, pharmacological activity, underlying mechanisms, and pharmacokinetic properties of WDL. Additionally, it offers insights into potential clinical applications and future drug discovery avenues utilizing WDL or its derivatives, either independently or in combination with other pharmaceuticals.
Coumarins/isolation & purification* ; Humans ; Animals ; Biological Products/chemical synthesis* ; Molecular Structure ; Plant Extracts/chemical synthesis* ; Wedelia/chemistry* ; Eclipta/chemistry*