Digestive Enzyme Complex

OBJECTIVE: Nonalcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease in the world. The pathogenesis of NAFLD is complex and multifactorial. Clinical studies have shown that alterations in the gut microbiota play a key role in NAFLD. The purpose of this study was to analyze the effect of probiotic supplementation on the treatment of NAFLD patients based on various indicators. METHODS: We conducted a meta-analysis investigating the relationship between NAFLD and probiotic supplementation. Embase, PubMed, and Web of Science databases were searched by computer, and then, eligible studies were identified. Finally, a total of high-quality randomized controlled trials were selected involving 1403 participants. Meta-analysis was performed using the RevMan 5.3 software which was systematically searched for works published through Dec. 1, 2021, in the present study. RESULTS: The meta-analysis results showed that the probiotics supplementation improved hepatocyte injury and significantly reduced the level of ALT (P = 0.00001), AST (P = 0.0009), GGT (P = 0.04), TG (P = 0.01), LDL-C (P = 0.0005), HDL-C (P = 0.0002), insulin (P = 0.003), IR (P = 0.03), BMI (P = 0.03), TNF-α (P = 0.03), and CRP (P = 0.02), respectively, in NAFLD patients. CONCLUSION: The present study suggests that probiotics therapy may improve liver enzyme levels, regulated lipid metabolism, reduced insulin resistance, and improved inflammation in NAFLD patients. It supports the potential role of probiotics supplementation in the treatment of NAFLD.

Gut health though is not well defined the role of gastrointestinal tract is vital if an animal must perform well. Apart from digestion, secretion, and absorption gut is harbored with consortium of microbiota which plays a key role in one's health. Enzymes, one of the alternatives for antibiotics with beneficial effects on digestion and consistency of food and its effect on gut health. The effect of enzyme supplementation on gut health is not well established and the objective of this meta-analysis is to investigate if the enzyme supplement has influence on gut. This meta-analysis includes 1221 experiments which has single enzyme studies and or studies with multiple enzyme complexes but not challenged. The ratio of Lactobacillus and E. coli is related to ADFI which showed comparatively lower negative correlation coefficient, with - 0.052 and - 0.035, respectively, whose I2 values are below 25%, showing that these studies show a significantly lower level of heterogeneity. Correlation between villus height, crypt depth, their ratio and fatty acid is also assessed, and it showed that when the animal is supplemented with two enzyme complexes resulted in positive gut health rather than the single or more than two enzymes.

A meta-analysis was performed on eight trials, which included a total of 992 parity 1 to 8 lactating sows, to evaluate the effects of feeding xylanase which is the main enzyme activity present in the enzymatic complex (Rovabio Excel, Adisseo, France) supplement throughout lactation on the following sow performance factors: BW loss, feed intake, backfat depth, and piglet growth. Even a short period of enzyme supplementation during lactation led to a reduction in BW loss of approximately 3 kg per sow (P = 0.003). This reduction represented 1-2% of the BW of sows. This effect could be explained by an increase in feed energy intake and enhanced feed digestibility. Sows fed enzyme-supplemented diets exhibited greater DM, OM, and GE digestibilities (3.4, 3.9, and 4.2% increases, respectively; P < 0.001) than sows fed control diets. During lactation, sows lost from 19 to 25 kg of BW (i.e., approximately 10% of their BW), with a difference between parity groups (P < 0.001). Body reserve mobilization was decreased in sows fed enzyme-supplemented diets (-2.9 kg, P = 0.003), with a more pronounced effect in primiparous than multiparous sows when BW loss is expressed relative to total BW (-2.27 vs. -0.59%, respectively; P = 0.058). Enzyme supplementation also increased litter weight gain up to weaning, with a greater effect in litters from multiparous sows than those from primiparous sows (5.4 vs. 0.6 kg, respectively; P = 0.009). These results could be explained in part by the relationship between their NE intake and either variations in BW or litter weight gain (R2 = 0.51 and 0.49, respectively; P < 0.001). Finally, the meta-analysis suggests that there are differences in the partitioning of the NE intake between growth and milk production and in relation to the sow's parity or physiological status. Extra energy released by enzyme is used for one of these functions (i.e., body mobilization reduction or greater milk export for litter gain).

OBJECTIVE: Our paper aimed to elucidate the mechanism of Weiwei granules in the treatment of Helicobacter pylori (Hp)-positive chronic atrophic gastritis (CAG) based on the TLR4/NF-κB/COX-2 inflammatory signaling pathway. METHODS: Hp-positive CAG patients were randomized into the control group (treated with quadruple therapy) or the observation group (treated with Weiwei granules based on the control group). The clinical efficacy, Hp clearance rate, and efficacy of traditional Chinese medicine (TCM) symptoms were compared between the two groups after six months of treatment. The scores of various histopathology variables, serum levels of inflammatory factors (interleukin-6 [IL-6], interleukin-8 [IL-8], and tumor necrosis factor-alpha [TNF-α]), gastrin-17 (G-17) and motilin (MTL), pepsinogen (PG) I and PG II, as well as serum levels of gastrointestinal hormone endothelin (ET), epidermal growth factor (EGF), and calcitonin gene-related peptide (CGRP), were compared between the two groups before and after treatment. TLR4, NF-κB, and COX-2 mRNA levels were compared in gastric mucosal tissues before and after treatment in the two groups. RESULTS: After treatment, the clinical efficacy, Hp clearance rate, and efficacy of TCM symptoms of patients in the observation group were higher than those in the control group. After treatment, the scores of various histopathology variables, serum levels of inflammatory factors (IL-6, IL-8, and TNF-α), gastrointestinal hormones (ET and EGF), and the expression levels of TLR4, NF-κB, and COX-2 mRNA in the gastric mucosal tissues were lower and G-17, MTL, CGRP, and PG I levels were higher in the observation group than in the control group. CONCLUSION: Weiwei granules can effectively improve Hp-positive CAG patients and reduce the expression levels of TLR4, NF-κB, and COX-2. ©The Author(s) 2024. Open Access. This article is licensed under a Creative Commons CC-BY International License.

The enzyme transglutaminase 2 (TG2) plays a key role in celiac disease (CeD) pathogenesis. Active TG2 is located mainly extracellularly in the lamina propria but also in the villous enterocytes of the duodenum. The TG2 inhibitor ZED1227 is a promising drug candidate for treating CeD and is designed to block the TG2-catalyzed deamidation and crosslinking of gliadin peptides. Our aim was to study the accumulation of ZED1227 after oral administration of the drug. We studied duodenal biopsies derived from a phase 2a clinical drug trial using an antibody that detects ZED1227 when bound to the catalytic center of TG2. Human epithelial organoids were studied in vitro for the effect of ZED1227 on the activity of TG2 using the 5-biotin-pentylamine assay. The ZED1227-TG2 complex was found mainly in the villous enterocytes in post-treatment biopsies. The signal of ZED1227-TG2 was strongest in the luminal epithelial brush border, while the intensity of the signal in the lamina propria was only ~20% of that in the villous enterocytes. No signal specific to ZED1227 could be detected in pretreatment biopsies or in biopsies from patients randomized to the placebo treatment arm. ZED1227-TG2 staining co-localized with total TG2 and native and deamidated gliadin peptides on the enterocyte luminal surface. Inhibition of TG2 activity by ZED1227 was demonstrated in epithelial organoids. Our findings suggest that active TG2 is present at the luminal side of the villous epithelium and that inhibition of TG2 activity by ZED1227 occurs already there before gliadin peptides enter the lamina propria.

BACKGROUND: It was suggested that low salivary-amylase activity (SAA) and cooling or stir-frying cooked starch decreases its digestibility and glycemic index. OBJECTIVE: We determined the effects of SAA, cooling, and single-nucleotide polymorphisms (SNPs) in the salivary amylase (AMY1), pancreatic amylase (AMY2A, AMY2B), maltase-glucoamylase (MGAM), and sucrase-isomaltase (SI) genes on starch digestibility and glycemic index of cooked polished rice. METHODS: Healthy subjects [pilot, n = 12; main, n = 20 with low-SAA (<50 U/mL), and n = 20 with high-SAA (>105 U/mL)] consumed test meals containing 25 g (pilot) or 50 g (main) available carbohydrate at a contract research organization using open-label (pilot) or assessor-blinded (main), randomized, crossover, Latin-square designs (trial registration: NCT03667963). Pilot-trial test meals were dextrose, freshly cooked polished rice, cooked rice cooled overnight, stir-fried hot rice, or stir-fried cold rice. Main-trial test meals were dextrose, dextrose plus 10 g lactulose, plain hot rice, or plain cold rice. In both trials, blood glucose was measured fasting and at intervals over 2 h. In the main trial, breath hydrogen was measured fasting and hourly for 6 h to estimate in vivo starch digestibility. Data were analyzed by repeated-measures ANOVA for the main effects of temperature and stir-frying (pilot trial) or the main effects of SAA and temperature (main trial) and their interactions. Effects of 24 single nucleotide polymorphisms (SNPs) were assessed separately. Means were considered to be equivalent if the 95% CI of the differences were within ±20% of the comparator mean for glucose response/glycemic index or ±7% for digestibility. RESULTS: Pilot: neither temperature nor stir-frying significantly affected glucose incremental AUC (primary endpoint, n = 12). Main: mean ± SEM glycemic index (primary endpoint, n = 40) was equivalent for low-SAA compared with high-SAA (73 ± 3 vs. 75 ± 4) and cold rice compared with hot rice (75 ± 3 vs. 70 ± 3). Estimated starch digestibility (n = 39) was equivalent for low-SAA compared with high-SAA (95% ± 1% vs. 92% ± 1%) and hot rice compared with cold rice (94% ± 1% vs. 93% ± 1%). N

Starch digestion induces postprandial hyperglycemia, which can be modulated by polyphenols and polysaccharides via α-amylase inhibition. Current research focuses on individual α-amylase inhibitors, neglecting the activity changes of combined compounds induced by structural differences. This study explored the inhibitory effect and mechanism of the epigallocatechin gallate (EGCG) and exopolysaccharides from Bacillus subtilis STB22 (BS-EPS) complex on porcine pancreatic α-amylase (PPA). The results showed that EGCG (30 mg/mL) and BS-EPS (0.1 mg/mL) individually inhibited PPA by 44.47 % and 21.55 %, respectively, while their complex exhibited enhanced inhibition (72.95 %). The combination index ≤1 confirmed a synergistic and additive inhibitory effect. Mechanistic studies revealed that EGCG and BS-EPS acted as non-competitive and mixed-type inhibitors of PPA, respectively. When combined, they formed a monolayer adsorption complex that exhibited mixed-type inhibition on PPA and statically quenched PPA fluorescence via ternary complex formation. These findings provide a theoretical foundation for developing novel α-amylase inhibitors.

Drug-drug interactions (DDIs) pose significant challenges in pharmacotherapy, affecting drug efficacy and safety. Traditional in vitro and in vivo models often fail to accurately predict clinically relevant DDIs, necessitating the development of advanced testing platforms. This review explores cutting-edge in vitro and in vivo systems, including chimeric mice with humanized livers, clustered regularly interspaced short palindromic repeats-CRISPR-associated animal models, liver microphysiological systems, and 3-dimensional spheroids and organoids that enhance the assessment of DDIs. These models enable the precise evaluation of drug metabolism, enzyme induction/inhibition, and transporter-mediated interactions under physiologically relevant conditions. In addition, we discuss the latest advancements in predictive modeling techniques for DDIs, focusing on physiologically based pharmacokinetic models and machine learning approaches. Physiologically based pharmacokinetic models integrate drug-specific and system-specific parameters to simulate DDIs dynamically, bridging the gap between preclinical and clinical findings. Machine learning-based predictive tools use vast datasets to identify complex interaction patterns, improving DDI risk assessment in early drug development. By integrating these novel experimental and computational approaches, researchers can achieve more accurate, quantitative DDI predictions, facilitating safer drug design and regulatory decision-making. The review highlights these emerging methodologies, emphasizing the need for continued refinement to enhance their predictive power and translational relevance. Future research should focus on optimizing hybrid strategies that combine mechanistic and data-driven models to achieve robust, clinically meaningful DDI assessments. SIGNIFICANCE STATEMENT: This review showcases advanced experimental and computational tools to improve drug-drug interaction prediction. These innovations enhance drug-drug interaction accuracy, support safer drug development, aid regulatory and clinical decisions, reduce adverse reactions, and optimize patient care.

Alzheimer's disease (AD) is a complex neurodegenerative disorder that poses significant therapeutic challenges. Currently available treatments offer symptomatic relief but often yield suboptimal outcomes due to inter-individual variability in drug metabolism. Cytochrome P450 (CYP450) enzymes, particularly those exhibiting genetic polymorphisms, play a central role in the hepatic metabolism of many AD medications. This review focuses on the influence of CYP450 polymorphisms-specifically in CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A4-on the pharmacokinetics, efficacy, and safety of approved anti-AD drugs. We discuss how variability in CYP450 expression and activity affects drug response, and examine the implications for adverse drug reactions, therapeutic failure, and dosage optimization. In addition, we evaluate current evidence for CYP450-mediated interactions with traditional Chinese medicines, which are increasingly used in complementary AD therapy. The potential for CYP450 genotyping and phenotyping to guide personalized treatment strategies is critically assessed. We argue that integrating pharmacogenomics into clinical practice may enhance therapeutic precision, reduce adverse outcomes, and improve quality of life in patients with AD. This review provides updated insight into the clinical significance of CYP450 polymorphisms in AD therapy and outlines future directions for personalized medicine approaches.

Erratum in AAPS J. 2025 May 16;27(4):92. doi: 10.1208/s12248-025-01081-2. During drug development, the design, interpretation and risk assessment of drug-drug interaction (DDI) are generally performed with physiologically-based pharmacokinetic (PBPK) modelling. Critical parameters are the hepatic metabolic fraction (fm) and intestinal availability (FG) which are commonly informed by clinical data. In this study, two methods for the simultaneous estimation of these parameters are proposed which utilize the distinctive changes in substrate's plasma concentration profiles in response to inhibition of intestinal and hepatic enzymes. The two-dimensional DDI (2D-DDI) method estimates the fm and FG values directly from the ratios of area-under-curve (AUCR) and maximum concentration (CmaxR), while the population PBPK method utilizes the full concentration-time data of a substrate without or with an inhibitor. The utility of both methods was demonstrated for a broad range of > 50,000 virtual and six actual CYP3A substrates. The 2D-DDI method is fast, reliable, and does not require a priori PBPK model development. The population PBPK method can estimate the population parameters and inter-individual variabilities of fm and FG and is applicable to more complex DDIs (e.g., multiple pathways/dynamic inhibitor concentration-time profiles) without the need for IV data. Like other approaches, both methods show an increasing uncertainty for substrates with high hepatic extraction and sensitivity to the assumed degree of enzyme inhibition. While both methods were evaluated for CYP3A substrates, the methodology equally applies to other enzymes. Additionally, this study provides guidance for clinical DDI study design to facilitate robust DDI extrapolation necessary to inform drug labels on concomitant medications in lieu of clinical trials. © 2025. The Author(s).

The growing co-consumption of botanical natural products with conventional medications has intensified the need to understand potential effects on drug safety and efficacy. This review delves into the intricacies of intestinal pharmacokinetic interactions between botanical natural products and drugs, such as alterations in drug solubility, permeability, transporter activity, and enzyme-mediated metabolism. It emphasizes the importance of understanding how drug solubility, dissolution, and osmolality interplay with botanical constituents in the gastrointestinal tract, potentially altering drug absorption and systemic exposure. Unlike reviews that focus primarily on enzyme and transporter mechanisms, this article highlights the lesser known but equally important mechanisms of interaction. Applying the Biopharmaceutics Drug Disposition Classification System (BDDCS) can serve as a framework for predicting and understanding these interactions. Through a comprehensive examination of specific botanical natural products such as byakkokaninjinto, green tea catechins, goldenseal, spinach extract, and quercetin, we illustrate the diversity of these interactions and their dependence on the physicochemical properties of the drug and the botanical constituents involved. This understanding is vital for healthcare professionals to effectively anticipate and manage potential natural product-drug interactions, ensuring optimal patient therapeutic outcomes. By exploring these emerging mechanisms, we aim to broaden the scope of natural product-drug interaction research and encourage comprehensive studies to better elucidate complex mechanisms.

Drug-drug interaction (DDI) assessment of therapeutic peptides is an evolving area. The industry generally follows DDI guidelines for small molecules, but the translation of data generated with commonly used in vitro systems to in vivo is sparse. In the current study, we investigated the ability of advanced human hepatocyte in vitro systems, namely HepatoPac, spheroids, and Liver-on-a-chip, to assess potential changes in regulation of CYP1A2, CYP2B6, CYP3A4, SLCO1B1, and ABCC2 in the presence of selected therapeutic peptides, proteins, and small molecules. The peptide NN1177, a glucagon and GLP-1 receptor co-agonist, did not suppress mRNA expression or activity of CYP1A2, CYP2B6, and CYP3A4 in HepatoPac, spheroids, or Liver-on-a-chip; these findings were in contrast to the data obtained in sandwich cultured hepatocytes. No effect of NN1177 on SLCO1B1 and ABCC2 mRNA was observed in any of the complex systems. The induction magnitude differed across the systems (e.g., rifampicin induction of CYP3A4 mRNA ranged from 2.8-fold in spheroids to 81.2-fold in Liver-on-a-chip). Small molecules, obeticholic acid and abemaciclib, showed varying responses in HepatoPac, spheroids, and Liver-on-a-chip, indicating a need for EC50 determinations to fully assess translatability data. HepatoPac, the most extensively investigated in this study (3 donors), showed high potential to investigate DDIs associated with CYP regulation by therapeutic peptides. Spheroids and Liver-on-a-chip were only assessed in one hepatocyte donor and further evaluations are required to confirm their potential. This study establishes an excellent foundation toward the establishment of more clinically-relevant in vitro tools for evaluation of potential DDIs with therapeutic peptides. SIGNIFICANT STATEMENT: At present, there are no guidelines for drug-drug interaction (DDI) assessment of therapeutic peptides. Existing in vitro methods recommended for assessing small molecule DDIs do not appear to translate well for peptide drugs, complicating drug development for these moieties. Here, we establish evidence that complex cellular systems have potential to be used as more clinically-relevant tools for the in vi

Progesterone (P4) and cyclic adenosine monophosphate (cAMP) are regarded as pro-quiescent factors that suppress uterine contractions during pregnancy. We previously used human primary cells in vitro and mice in vivo to demonstrate that simultaneously enhancing myometrial P4 and cAMP levels may reduce inflammation-associated preterm labor. Here, we assessed whether aminophylline (Ami; phosphodiesterase inhibitor) and P4 can reduce myometrial contractility and contraction-associated proteins (CAPs) better together than individually; both agents are clinically used drugs. Myometrial tissues from pregnant non-laboring women were treated ex vivo with Ami acutely (while spontaneous contracting) or throughout 24-h tissue culture (±P4); isometric tension measurements, PKA assays, and Western blotting were used to assess tissue contractility, cAMP action, and inflammation. Acute (1 h) treatment with 250 and 750 μM Ami reduced contractions by 50% and 84%, respectively, which was not associated with a directly proportional increase in whole tissue PKA activity. Sustained myometrial relaxation was observed during 24-h tissue culture with 750 μM Ami, which did not require P4 nor reduce CAPs. COX-2 protein can be reduced by 300 nM P4 but this did not equate to myometrial relaxation. Ami (250 μM) and P4 (100 and 300 nM) co-treatment did not prevent oxytocin-augmented contractions nor reduce CAPs during interleukin-1β stimulation. Overall, Ami and P4 co-treatment did not suppress myometrial contractions more than either agent alone, which may be attributed to low specificity and efficacy of Ami; cAMP and P4 action at in utero neighboring reproductive tissues during pregnancy should also be considered. © 2021 The Authors. Pharmacology Research & Perspectives published by British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics and John Wiley & Sons Ltd.

Introduction: Intracellular-free drug concentration (Cu,cell) and unbound partition coefficient (Kpuu) are two important parameters to develop pharmacokinetic and pharmacodynamic relationships, predict drug-drug interaction potentials and estimate therapeutic indices.Area covered: Methods on measurements of Cu,cell, Kpuu, partition coefficient (Kp) and fraction unbound of cells (fuc) are discussed. Advantages and limitations of several fuc methods are reviewed. Applications highlighted here are bridging the potency gaps between biochemical and cell-based assays, in vitro hepatocyte assay to predict in vivo liver-to-plasma Kpuu, the role of Kpuu in prediction of hepatic clearance for enzyme- and transporter-mediated mechanisms using extended clearance equation, and structural attributes governing tissue Kpuu.Expert opinion: Cu,cell and Kpuu are of growing applications in drug discovery. Methods for measurements of these properties continue to evolve in order to achieve higher precision/accuracy and obtain more detailed information at the subcellular levels. Future directions of the field include the development of in vitro and in silico models to predict tissue Kpuu, direct measurement of free drug concentration in subcellular organelles, and further investigations into the critical elements governing cell and tissue Kpuu. Significant innovation is needed to advance this complex, but highly impactful and exciting area of science.

The cytochrome P450 (CYP450) superfamily is responsible for the metabolism of most xenobiotics and pharmacological treatments generally used in clinical settings. Genetic factors as well as environmental determinants acting through fine epigenetic mechanisms modulate the expression of CYP over the lifespan (fetal vs. infancy vs. adult phases) and in diverse organs. In addition, pathological processes might alter the expression of CYP. In this selective review, we sought to summarize the evidence on the expression of CYP focusing on three specific aspects: (a) the anatomical distribution of the expression in body districts relevant in terms of drug pharmacokinetics (liver, gut, and kidney) and pharmacodynamics, focusing for the latter on the brain, since this is the target organ of psychopharmacological agents; (b) the patterns of expression during developmental phases; and (c) the expression of CYP450 enzymes during pathological processes such as cancer. We showed that CYP isoforms show distinct patterns of expression depending on the body district and the specific developmental phases. Of particular relevance for neuropsychopharmacology is the complex regulatory mechanisms that significantly modulate the complexity of the pharmacokinetic regulation, including the concentration of specific CYP isoforms in distinct areas of the brain, where they could greatly affect local substrate and metabolite concentrations of drugs. © 2021 Wiley Periodicals, LLC.

Drug-drug interactions (DDIs) involving drug-metabolizing enzymes and membrane transporters can lead to alteration in substrate drug (victim) exposure, and can influence the pharmacological and toxicological effects. In order to predict DDI potential, it is important to quantitatively characterize the major enzyme(s) and/or transporter(s) involved in the clearance of drugs, in terms of fraction metabolized (fm) and fraction transported (ft). In this review, we discuss a strategy using Extended Clearance Classification System (ECCS) to identify the clearance mechanism(s) early in drug discovery, and subsequently rational staging of in vitro characterization to determine fm and ft. In addition, the examples of complex DDIs due to involvement of transporter-enzyme interplay in the hepatic clearance are discussed.

BACKGROUND: Nutraceuticals have been important for more than two decades for their safety, efficacy, and outstanding effects. Diabetes is a major metabolic syndrome, which may be improved using nutritional pharmaceuticals. Some microalgae species, such as spirulina, stand out by providing biomass with exceptional nutritional properties. Spirulina has a wide range of pharmacological effects, mostly related to phycocyanin. Phycocyanin is a protein compound with antidiabetic properties, known as a nutraceutical. OBJECTIVE: This review delves into phycocyanin applications in diabetes and its complications and ascertains the mechanisms involved. METHODS: Scopus, PubMed, Cochrane Library, Web of Science, and ProQuest databases were systematically reviewed (up to April 30, 2023), in which only animal and cellular studies were found. RESULTS: According to animal studies, the administration of phycocyanin affected biochemical parameters (primary outcome) related to diabetes. These results showed an increase in fasting insulin serum and a decrease in fasting blood glucose, glycosylated serum protein, and glycosylated hemoglobin. In cellular studies, though, phycocyanin prevented methylglyoxal and human islet amyloid polypeptide-induced dysfunction in β-cells and induced apoptosis through different molecular pathways (secondary outcome), including activation of Nrf2, PI3K/Akt, and suppression of JNK and p38. Also, phycocyanin exerted its antidiabetic effect by affecting the pathways regulating hepatic glucose metabolism. CONCLUSIONS: Thus, based on the available information and literature, targeting these pathways by phycocyanin may unleash an array of benefits, including positive outcomes of the antidiabetic effects of phycocyanin as a nutraceutical. OTHER: This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) at the National Institute of Health. The registration number is CRD42022307522.

41. Phytomedicine. 2023 Oct;119:154964. doi: 10.1016/j.phymed.2023.154964. Epub 2023 Jul 10. Phycocyanin as a nature-inspired antidiabetic agent: A systematic review. Ziyaei K(1), Abdi F(2), Mokhtari M(3), Daneshmehr MA(4), Ataie Z(5). Author information: (1)Department of Fisheries, Faculty of N

Gastrointestinal stromal tumors (GISTs) are the most commonly observed mesenchymal tumors of the digestive tract, and they originate from the interstitial cells of Cajal. GISTs can be divided into KIT/PDGFRA‑mutant GISTs and wild‑type GISTs based on the presence or absence of KIT/PDGFRA mutations. Wild‑type GISTs can be divided into succinate dehydrogenase complex (SDH)‑deficient GISTs and non‑SDH‑deficient GISTs. Downstream signaling pathways activated by these mutations serve a pivotal role in the development of GISTs and are associated with the biological behavior, including risk stratification, clinical prognosis and drug resistance. Accurate medical care requires accurate molecular diagnosis, which in turn prolongs the survival of patients with GISTs and makes GIST a chronic disease. At present, there is a lack of effective treatment for imatinib/sunitinib/regorafenib resistant patients and KIT/PDGFRA‑WT GISTs, which is undoubtedly a major challenge for future research. The present review summarizes the molecular pathogenesis of GISTs and the progress of related research.

ETHNOPHARMACOLOGICAL RELEVANCE: Animal-derived medicinal products (ADMP) had been extensively used in Russia and became a part of officinal medicine in 1778. AIM OF THE STUDY: The aim of the current review was to analyse the ADMPs authorised in the Russian Federation and to identify specific aspects of quality evaluation of these medicinal products. MATERIALS AND METHODS: Information of ADMPs was extracted from the online State Register of Medicinal Products of the Russian Federation. At the next stage, we systematically searched library catalogues, E-library.ru, Medline/PubMed, Scopus, Web of Science and Google Scholar databases to find data related to ADMP quality evaluation, clinically proven efficacy and safety. RESULTS: For classification of ADMP, we propose an approach based on the raw material used: ADMPs derived from marine organisms, ADMPs from cattle and pigs and ADMPs from other terrestrial animals. The majority of ADMPs authorised in Russia are produced by local manufacturers. ADMPs are available in dosage forms of solution for parenteral administration (35% of all products) and lyophilisates for parenteral use (19%), tablets and capsules (17% and 11%, respectively), ointments (5%) and powders (3%). ADMPs belong to the following pharmacotherapeutic groups: medicines for tissue regeneration and repair stimulators (30%), digestive enzyme products (22%), anticoagulants (17%), proteolytic agents (6%) and medicines for the treatment of chronic prostatitis (5%). The most important approaches to standardisation of ADMPs are implementation of modern requirements for registration dossiers, development of risk-oriented approaches for evaluation of impurities, elaboration of advanced instrumental and in vitro test methods capable of replacing in vivo methods and harmonisation of the potency units used for standardisation. CONCLUSIONS: The key features of ADMPs that help them retain their leading position in the pharmaceutical market are as follows: (i) their unique composition usually represented by a complex of biologically active substances; (ii) a high degree of affinity of the active ingredient of an ADMP to the human body and (iii) proved safety and clinic

Colorectal cancer (CRC) has become the third most common cancer in developed countries. Each year more and more people die from CRC. CRC is also one of the most effectively studied topics in recent years. It has been found that the key phenomena in CRC development are genetic and inflammatory processes. Well-known genetic bases for the carcinogenesis of CRC include chromosomal changes characteristic of the chromosomal instability pathway which correlates with specific and well-defined genetic alterations (such as APC, K-RAS, DCC and p53) and genomic instability characteristics for the mutator pathway focused on KRAS and BRAF mutations. Recent studies have highlighted the impact of inflammation in CRC, especially elevated levels of pro-inflammatory cytokines. Among important risk factors of colon carcinogenesis are colorectal polyps, which are currently the subject of intense research. Recent studies have shown that different adenomas are characterized by different pathways of carcinogenesis as well as diverse COX-2 expression in various polyps. Understanding the mechanism of inflammatory processes in CRC parallel to basic genetic alterations might allow for effective and targeted treatment.

BACKGROUND: Rofecoxib and celecoxib (coxibs) effectively treat chronic arthritis pain and reduce ulcer complications by 50% compared with nonselective nonsteroidal anti-inflammatory drugs (NSAIDs). However, their absolute risk reduction is small and the cost-effectiveness of treatment is uncertain. OBJECTIVE: To determine whether the degree of risk reduction in gastrointestinal complications by coxibs offsets their increased cost compared with a generic nonselective NSAID. DESIGN: Cost-utility analysis. DATA SOURCES: Systematic review of MEDLINE and published abstracts. TARGET POPULATION: Patients with osteoarthritis or rheumatoid arthritis who are not taking aspirin and who require long-term NSAID therapy for moderate to severe arthritis pain. PERSPECTIVE: Third-party payer. INTERVENTIONS: Naproxen, 500 mg twice daily, and coxib, once daily. Patients intolerant of naproxen were switched to a coxib. TIME HORIZON: Lifetime. OUTCOME MEASURES: Incremental cost per quality-adjusted life-year (QALY) gained. RESULTS OF BASE-CASE ANALYSIS: Using a coxib instead of a nonselective NSAID in average-risk patients cost an incremental 275 809 dollars per year to gain 1 additional QALY. RESULTS OF SENSITIVITY ANALYSIS: The incremental cost per QALY gained decreased to 55 803 dollars when the analysis was limited to the subset of patients with a history of bleeding ulcers. The coxib strategy became dominant when the cost of coxibs was reduced by 90% of the current average wholesale price. In probabilistic sensitivity analysis, if a third-party payer was willing to pay 150 000 dollars per QALY gained, then 4.3% of average-risk patients would fall within the budget. CONCLUSIONS: The risk reduction seen with coxibs does not offset their increased costs compared with nonselective NSAIDs in the management of average-risk patients with chronic arthritis. However, coxibs may provide an acceptable incremental cost-effectiveness ratio in the subgroup of patients with a history of bleeding ulcers.

This article provides a systematic review of the frequency and severity of adverse gastrointestinal (GI) events among patients using meloxicam, a cyclooxygenase (COX)-2-selective nonsteroidal anti-inflammatory drug (NSAID). A MEDLINE search of English language articles from 1990-1998, a manual search of citations from primary trials and review articles, and a manual search of proceedings from international gastroenterology meetings were conducted. Randomized clinical trials comparing the frequency of GI adverse events for meloxicam versus non-COX-2-selective NSAIDs were selected. Specific data about the frequency of dyspepsia; perforations, ulcers, and bleeds (PUBs); and withdrawal of medication because of adverse GI events was also extracted. From a pool of 62 potentially relevant citations, 12 randomized trials were identified. All trials concerning symptomatic GI adverse events used the World Health Organization's Adverse Reaction Terminology List (WHO-ARTL) to code adverse events. Patients using meloxicam had fewer GI adverse events compared with non-COX-2-selective NSAIDs (odds ratio = 0.64; 95% confidence interval [CI], 0.59-0.69). Patients using meloxicam experienced less dyspepsia (odds ratio = 0.73; 95% CI, 0.64-0.84), fewer PUBs (odds ratio = 0.52; 95% CI, 0.28-0.96), and less frequent discontinuation of NSAID because of adverse GI events (odds ratio = 0.59; 95% CI, 0.52-0.67) compared with non-COX-2 selective NSAIDs. Meloxicam, a COX-2-selective NSAID, appears to cause fewer adverse GI events than standard, non-COX-2-selective NSAIDs. However, the generalizability of these data may be limited by the low dose of meloxicam used in most trials and the use of the WHO-ARTL to code adverse events.