Current Pharmaceutical Design - Online First

There is increasing evidence that environmental factors play an important role in the pathogenesis of hyperuricemia. However, the relationship between Brominated Flame Retardants (BFRs) and serum uric acid and hyperuricemia remains unclear.

This study used data from 7996 National Health and Nutrition Examination Survey (NHANES) participants from 2005 to 2016. Ten BFRs, including PBB153 and PBDE28, were included in the analysis. Multivariate logistic regression, subgroup analysis, Spearman correlation analysis, Weighted Quantile Sum (WQS), and Bayesian Kernel Machine Regression (BKMR) were used to assess the association between BFRs and hyperuricemia. We also evaluated the mediating role of the Systemic Immunoinflammatory Index (SII) in the relationship between BFRs and hyperuricemia.

Results show that, after adjusting for all covariates, PBDE47, PBDE99, PBDE100, and PBDE154 were significantly associated with hyperuricemia risk. The results of the WQS regression and BKMR model showed a significant positive correlation between exposure to mixed BFRs and hyperuricemia risk. PBDE183 (weight: 38%) was found to have the highest weight in the mixture. Further mediating analysis showed that the relationship between PBDE28 and PBDE183 exposure and hyperuricemia risk was mediated by SII.

Exposure to BFRs increases the risk of hyperuricemia, which may be mediated by inflammation. Therefore, future research should further explore the potential mechanisms underlying the association between BFR exposure and hyperuricemia risk.

Exposure to BFRs may increase the risk of hyperuricemia. Large-scale prospective cohort studies and experimental research are needed to confirm the relationship between BFRs and hyperuricemia.

Jiaotai Pill (JTP) is a Traditional Chinese Medicine (TCM) prescription that has demonstrated therapeutic effects against Type 2 Diabetes Mellitus (T2DM). However, its active antidiabetic components and underlying mechanism of action remain unclear. This study aimed to identify the bioactive components in JTP and elucidate their molecular targets and therapeutic pathways in T2DM.

Chemical components of JTP were identified using ultra-high performance liquid chromatography coupled with Q-Exactive Orbitrap high-resolution mass spectrometer (UHPLC-Q-Exactive Orbitrap-HRMS) in both positive and negative ion modes. Data were processed with Compound Discoverer 3.2 (CD 3.2) data software and validated using literature sources. Network pharmacology analysis was performed via multiple databases, including the Traditional Chinese Medicine Systems Pharmacology Database, Uniport, PubChem, GenCards, String, and Cytoscape, to predict potential bioactive compounds and therapeutic targets. Key interactions were validated using molecular docking and molecular dynamics simulations.

A total of 104 compounds were identified in JTP. Network pharmacology analysis revealed 5 key antidiabetic components and 5 core targets. These targets are involved in biological processes including apoptosis regulation, cell proliferation, and protein phosphorylation, and are enriched in pathways such as neuroactive ligand-receptor interaction, PI3K-AKT signaling, and AGE-RAGE signaling. Molecular docking indicated strong binding affinity between dihydrochelerythrine and AKT1(-9.0 kcal/mol) and TNF-α (-6.7 kcal/mol). Molecular dynamics simulation demonstrated stable and sustained hydrogen bonding between dihydrochelerythrine and AKT1.

Dihydrochelerythrine, as an active ingredient in JTP, may exert its antidiabetic mechanism by binding with AKT1, but it needs to be verified by subsequent animal or cell experiments.

Dihydrochelerythrine, a key active component of JTP, may exert antidiabetic effects in T2DM through stable interaction with AKT1, highlighting a potential therapeutic mechanism.

The COVID-19 pandemic, caused by SARS-CoV-2, has highlighted the urgent need for effective antiviral and anti-inflammatory therapies. Spiropyridine derivatives containing a chalcone moiety have shown potential in targeting key enzymes involved in viral replication and inflammation.

To evaluate the inhibitory effects of synthesized spiropyridine derivatives on SARS-CoV-2 main protease (Mpro), secreted phospholipase A2 (sPLA2), and cytosolic phospholipase A2 (cPLA2), and to assess their impact on inflammatory and oxidative stress markers in LPS-treated lung cells.

To develop novel therapeutic agents that can effectively manage COVID-19 and related inflammatory conditions.

The synthesized compounds (1-3) were tested for their inhibitory activity against SARS-CoV-2 Mpro, sPLA2, and cPLA2 using in vitro assays to determine IC50 values. Inflammatory markers (COX-2, IL-2, IL-4, TGF-1β, TNF-α) and oxidative stress markers (GSH, SOD, GR, MDA) were measured in LPS-treated lung cells. Gene expression levels of sPLA2 and cPLA2 were also assessed. Molecular docking studies were conducted to analyze the binding affinities and interactions of the compounds with the target enzymes.

Compounds 1-3 showed significant inhibitory activity against SARS-CoV-2 Mpro with IC50 values of 19.85 µM, 7.31 µM, and 3.73 µM, respectively. For comparison, baicalein's IC50 value was 13.63 µM. Additionally, these compounds inhibited sPLA2 with IC50 values of 8.36 µM, 7.31 µM, and 3.73 µM, and cPLA2 with IC50 values of 20.44 µM, 6.02 µM, and 4.61 µM, respectively. Baicalein's IC50 values for sPLA2 and cPLA2 were 11.73 µM and 5.89 µM, respectively. In LPS-treated lung cells, compounds 1-3 significantly reduced COX-2 by up to 90.12%, IL-2 by 74.19%, IL-4 by 79.51%, TGF-1β by 44.57%, and TNF-α by 68.49%. They enhanced GSH by up to 194%, SOD by 357.19%, and GR by 445.87%, while reducing MDA by 77.90%. Gene expression of sPLA2 and cPLA2 was significantly downregulated by up to 82.31% and 64.59%, respectively. Molecular docking studies revealed binding affinities of -28.20, -28.20, and -28.07 kcal/mol for SARS-CoV-2 Mpro; -16.72, -17.21, and -15.89 kcal/mol for sPLA2; and -65.66, -66.95, and -79.24 kcal/mol for cPLA2, respectively.

The results demonstrate that the structural integration of a spiropyridine core with a chalcone moiety yields compounds with superior multi-target inhibitory activity. The potent antiviral, anti-inflammatory, and antioxidant effects are significantly correlated with their strong binding interactions with the active sites of Mpro, sPLA2, and cPLA2, as validated by molecular docking. These findings align with and extend current research on targeting host-inflammatory pathways alongside viral replication for COVID-19 management.

The synthesized spiropyridine derivatives containing a chalcone moiety exhibit potent antiviral, anti-inflammatory, and antioxidant properties. These findings suggest that these compounds could be promising therapeutic agents for managing COVID-19 and related inflammatory conditions. Future studies should focus on in vivo experiments, clinical trials, and structural optimization to further develop these compounds for clinical use.

Millions of people have died from zoonotic illnesses, like COVID-19 and Nipahvirus infection (NiV), throughout history. Fruit bats (Pteropus sp.) are the main reservoir host for NiV, an RNA virus belonging to the Henipavirus group, which causes extremely infectious illnesses, such as COVID-19. NiV outbreaks have posed significant public health concerns, especially in South and Southeast Asia. The Nipah virus (NiV) infection is caused by a virus that belongs to the Paramyxoviridae family's Henipavirus genus. It is the source of zoonosis, which causes respiratory and neurological symptoms.

This study has reviewed the epidemiology, pathophysiology, genetic diversity, and phylogenetics of NiV. It has explored NiV’s clinical features, cellular monitoring, infection factors, and the virus’ reservoir host.

Phylogenetic analysis has identified two circulating NiV lineages. Additionally, the study has examined the role of phytochemicals in combating viral infections. Despite the absence of a focused therapy for COVID-19, phytochemicals have been investigated for their potential antiviral properties. Evidence suggests that plants and their components may possess resistance against NiV by modulating the immune system and inhibiting viral replication.

The investigation into plant-derived compounds has offered a novel direction for NiV treatment, potentially enhancing viral resistance through immune modulation. Continued research on natural antivirals could bridge current gaps in therapeutic options for emerging zoonotic diseases.

The study has highlighted the transmission risk, detection challenges, and the potential of phytochemicals in managing NiV infections. The therapeutic potential of plants and their antiviral properties offer promising insights into future treatments for serious viral diseases, like NiV.

Wound healing is a complex and dynamic biological process involving hemostasis, inflammation, proliferation, and tissue remodeling. Conventional wound dressings provide only passive protection and fail to maintain an optimal healing microenvironment. Synthetic polymers, such as polyvinyl alcohol (PVA), polycaprolactone (PCL), poly(lactic-co-glycolic acid) (PLGA), and polyethylene glycol (PEG), have emerged as promising materials in advanced wound care due to their tunable physicochemical properties, biocompatibility, and enhanced therapeutic functionality.

This review aims to evaluate the potential of synthetic polymers in wound healing applications, focusing on their structural and functional advantages, challenges, and opportunities in the development of next-generation wound dressings.

A comprehensive literature review was conducted on recent developments in polymer-based wound dressings. In this review, we conducted a systematic literature search across Google Scholar, ScienceDirect, Scopus, Web of Science, and PubMed for publications between 2015 and 2025. The search strategy employed keywords, such as “wound healing”, “polyvinyl alcohol”, “polycaprolactone”, “poly(lactic-co-glycolic acid)”, “polyethylene alcohol”, “physicochemical characteristics”, “drug delivery capabilities”, and ” clinical trial” to capture the research landscape.

Synthetic polymers demonstrated significant potential in overcoming limitations of natural biomaterials, such as poor mechanical strength and rapid degradation. PEG-based hydrogels exhibited excellent hydrophilicity and sustained drug release. PCL scaffolds offered mechanical durability and supported tissue regeneration. PLGA allowed controlled therapeutic release through tunable degradation, while PVA ensured prolonged wound protection due to its structural stability. Polymer modifications, including crosslinking and blending, further enhanced wound healing efficacy.

Synthetic polymers provide versatile platforms for designing multifunctional wound dressings with improved healing outcomes. Future research should emphasize biodegradable, patient-specific, and smart wound dressings integrating controlled drug delivery, infection prevention, and angiogenic stimulation, thereby revolutionizing wound management practices.

Nitrergic transmission and oxidative stress are complicated factors in the seizure’s pathophysiology. Syringic acid has been revealed to exert numerous pharmacological properties, including neuroprotective effects. Hence, this research was designed to explore the anticonvulsant effects of syringic acid, focusing on its possible impact on nitrergic transmission and oxidative stress in the prefrontal cortex (PFC) in mice that underwent induction of seizure using pentylenetetrazole (PTZ).

Forty male NMRI mice were randomly divided into five groups, including mice that received saline containing Tween 80 at a concentration of 1% (10 ml/kg), syringic acid at doses of 10, 20, and 30 mg/kg, and diazepam (10 mg/kg). Syringic acid was dissolved in saline containing Tween 80 at a concentration of 1%. All drugs were injected intraperitoneally one hour before seizure induction by PTZ. Seizure threshold, total antioxidant capacity (TAC), nitrite, and malondialdehyde (MDA) levels, as well as inducible nitric oxide synthase (iNOS) and neuronal nitric oxide synthase (nNOS) gene expressions, were assessed in the PFC.

Syringic acid increased the seizure threshold and TAC, whereas it decreased MDA and nitrite levels in the PFC samples. Furthermore, syringic acid diminished the expression of iNOS and nNOS genes in the PFC.

Oxidative/nitrosative stress, which is involved in the pathophysiology of seizure, was alleviated by syringic acid.

It was concluded that, at least partially, the anticonvulsant property of syringic acid was mediated through the mitigation of oxidative stress and nitrergic transmission in the PFC in PTZ-induced seizures in male mice.

The purpose of this research is to review and evaluate both traditional and emerging biomarkers used in the diagnosis, monitoring, and treatment of liver diseases. The study aims to highlight how these biomarkers—such as liver enzymes, microRNAs, exosomes, and fibrosis-related proteins—can improve early detection, track disease progression, and support personalized treatment strategies for better patient outcomes.

This study uses a literature review to analyze both traditional (ALT, AST, ALP, bilirubin, etc.) and emerging biomarkers (microRNAs, exosomes, CRP, IL-6, MMPs, TIMPs) in liver disease. It focuses on their role in diagnosis, disease monitoring, and personalized treatment planning.

Traditional biomarkers (ALT, AST, ALP, bilirubin, albumin) are key for liver function assessment. Emerging markers like microRNAs, exosomes, MMPs, and TIMPs improve early detection and disease monitoring. Together, they enhance diagnostic accuracy and support personalized treatment.

The combination of traditional and novel biomarkers improves early detection, accurate diagnosis, and personalized treatment of liver diseases. New biomarkers, such as microRNAs and exosomes, offer higher sensitivity and specificity, enabling non-invasive diagnostics. The findings align with current research trends that promote the use of molecular and extracellular markers. These biomarkers provide deeper insights into liver disease mechanisms, particularly in fibrosis and hepatocellular carcinoma.

Traditional biomarkers are essential for liver assessment, while new ones like microRNAs, exosomes, MMPs, and TIMPs improve early diagnosis and monitoring. They support personalized care but need further validation for routine use.

Disorders of mood and post-traumatic stress disorder (PTSD) are common after major trauma, and one of the treatments used is Tricyclic Antidepressants (TCA). These medications work by inhibiting the re-uptake of neurotransmitters like serotonin and noradrenaline. Serotonin is known to have measurable effects on bone tissue due to the presence of specific receptors on bone cells. However, there are conflicting reports about how serotonin signaling affects bone tissue and the process of fracture healing. This study aimed to evaluate the effect of TCAs on fracture healing.

Twelve skeletally mature Wistar rats were used in the study. All rats underwent intra-medullary pinning of the right tibia, and a complete mid-diaphyseal fracture was created. The rats were then randomly split into two groups: a control group and a study group. For twenty-eight days, the study group received a daily dose of 10 mg/kg of amitriptyline via intraperitoneal infusion, while the control group received an equal volume of plain saline via the same route. On day twenty-eight, five hours after the final dose, all rats were euthanized to assess fracture healing using radiological, microscopic, and histological methods.

The study found a significant difference in the total volume of new bone formation between the two groups on day twenty-eight. The control group had a mean bone formation volume of 1.077 mm³, whereas the amitriptyline-treated group had a significantly higher mean volume of 1.824 mm³ (p<0.01).

The results suggest that TCAs positively influence the early phases of fracture healing. The increased new bone formation observed in the amitriptyline group indicates a potential therapeutic benefit beyond their known psychiatric effects. This finding adds to the existing literature on the complex relationship between serotonin signaling and bone metabolism, providing evidence that this class of antidepressants may enhance the process of bone repair.

Tricyclic Antidepressants, specifically amitriptyline, significantly increase new bone formation in the early stages of fracture healing in Wistar rats.

The Xianling Gubao capsule (XLGB), a traditional Chinese medicine formulation approved by the China Food and Drug Administration, has been effectively used to treat two common medical conditions: osteoarthritis (OA) and osteoporosis (OP). However, due to the complex ingredients, the molecular mechanisms underlying its therapeutic effects for OA and OP remain unknown.

This study identified XLGB-related therapeutic target genes and pathways for OA and OP by using bioinformatics and network pharmacology. Molecular docking assessed the interactions between core genes and compounds, while quantitative real-time PCR and Western blotting analyses validated the mRNA and protein expression of key target genes.

Bioinformatics analysis identified 473 unique genes common to OA and OP. Network pharmacology analysis identified 30 intersecting genes as the principal target genes for anti-OA and anti-OP effects. Ten hub genes were identified using protein-protein interaction as potential therapeutic targets. These genes were related to transcription regulation and enriched in certain signaling pathways, such as interleukin-17 and tumor necrosis factor. Molecular docking analysis revealed danshenxinkun B to exhibit a strong affinity for Ptgs2, Fos, and Tnfaip3, while miltirone displayed a strong affinity for Ptgs2. The experimental results have been verified using cellular experiments.

This study showed Ptgs2, Fos, and Tnfaip3 to be mainly enriched in interleukin-17 and tumor necrosis factor signaling pathways. Moreover, danshenxinkun B and miltirone significantly modulated the expression levels of these genes.

This study has demonstrated that danshenxinkun B and miltirone may be pivotal agents in treating OA and OP by down-regulating the expressions of Ptgs2, Fos, and Tnfaip3.

Hepatitis C virus (HCV) remains a major global health challenge, driving chronic hepatitis C (CHC) progression to severe liver diseases, including hepatocellular carcinoma (HCC). Direct-acting antivirals (DAAs) have transformed HCV treatment by achieving high sustained virological response (SVR) rates. However, limitations such as resistance, reinfection, and restricted accessibility emphasize the urgent need for novel therapeutic approaches. Among HCV therapeutic targets, the NS3/4A protease is critical for viral replication and immune evasion, positioning it as a prime focus for innovative drug discovery.

A comprehensive computational approach was adopted to evaluate flavonoids, natural compounds with known antiviral and anticancer properties, as potential inhibitors of the HCV NS3/4A protease. A curated flavonoid library was subjected to virtual screening using molecular docking techniques. Top-ranked flavonoids were further assessed based on binding affinity, dissociation constants, and key protein-ligand interactions. Pharmacokinetic profiling, molecular dynamics simulations, MM/PBSA energy calculations, and principal component analysis were performed to validate the most promising candidate.

The top ten scoring flavonoids demonstrated strong binding affinities and stable interactions with key catalytic residues of the NS3/4A protease. CID 100943380 emerged as the most promising candidate, exhibiting favorable pharmacokinetic properties and sustained stability throughout molecular dynamics simulations. MM/PBSA and PCA analyses further confirmed its robust binding and conformational stability.

The findings highlight flavonoids as promising inhibitors of NS3/4A protease, supporting their potential for further antiviral development.

This investigation identifies 10 flavonoids with high potential as NS3/4A protease inhibitors, providing a basis for future biological validation and safer drug development.

Sepsis-induced acute lung injury (S-ALI) is one of the diseases with a very high fatality rate. However, the traditional Chinese medicine compound Buzhong Yiqi Decoction (BZYQD) has an excellent effect in the treatment of S-ALI. Nevertheless, its mechanism of action is still unclear. In this study, we explored the molecular mechanisms of S-ALI injury treated with buzhong yiqi decoction through network pharmacology, in combination with in vivo experimental validation.

Traditional Chinese medicine system pharmacology (TCMSP) database was used to screen thechemical composition of BZYQD and its action targets; Multiple databases were used to collect target genesfor-S-ALI, including OMIM, TTD, GeneCards, and DrugBank; The STRING database was used for the protein-protein interaction (PPI) analysis of the common targets of the BZYQD and the S-ALI; The DAVID databasewas used for GO and KEGG analysis; molecular docking was used to detect the binding capacity of corecomponents and targets. HE staining was used to visualize the pathology of lung tissue in each group; ELISA wasused to detect the levels of inflammatory factors (IL-1β, IL-6, IL-8, NF-κB and TNF-α) and oxidative stressrelatedfactors (LDH, CK-MB, SOD, GSH-Px); The qPCR and Western blot were used to examine the mRNAand protein expression of IL-1β, IL-6, TNF-α NF-κB, p-NF-κB, PI3K, p-PI3K, AKT, and IKKα.

113 chemical components and 226 targets were screened from BZYQD; 9059 S-ALI-related geneswere screened out, with a total of 228 intersecting targets between BZYQD and S-ALI. Stigmasterol, quercetin, and isorhamnetin are the core components of BZYQD, PPI analysis shows that AKT1, IL6, TNF, andIL1B are the core targets of BZYQD for treating S-ALI, and molecular docking results show that the corecomponents have high binding activity with the target; Enrichment analysis shows that these core targets arerelated to the TNF signaling pathway. In vivo experimental studies have found that BZYQD can improve thedegree of inflammatory infiltration and edema in lung tissue of S-ALI model mice, reduce the expression ofIL-6, IL-1β, IL-8, TNF-α, LDH, CK-MB, and NF-κB in serum (P0.05), as well as the mRNA and proteinexpression of IL-6, IL-1β, TNF-α, NF-κB, p-NF-κB, PI3K, p-PI3K, AKT, and IKKα in lung tissue (P0.05),and levels of SOD and GSH-Px were increased (P0.05).

The action targets of the main chemical components of BZYQD are TNF, AKT, and IL6. Thesetargets can promote the activation of PI3K and TNF pathways and mediate the occurrence of inflammationand oxidative stress, which provides inspiration for the treatment of S-ALI. However, the results of this study still need to be verified in combination with in vitro approaches.

This study suggests that the mechanism of BZYQD in treating S-ALI may be achieved by inhibiting the TNF and PI3K signaling pathway and reducing inflammation and oxidative stress levels.

Diabetic neuropathy (DN) is a common complication of diabetes with limited therapeutic options. Given its complex pathophysiology involving oxidative stress, inflammation, and impaired nerve function, there is increasing interest in complementary therapies. This review aims to summarize the potential use of natural oils, both as dietary supplements and topical agents, for the prevention and management of DN.

A systematic literature search was conducted using databases such as SciFinder and PubMed for studies published from 1988 to January 2024. The search employed keywords including “diabetic neuropathy,” “natural oils,” and “bioactive constituents.” Relevant studies involving preclinical and clinical evaluation of natural oils or their active compounds in DN were selected, analyzed, and categorized based on the type of oil, mode of application, and mechanism of action.

Several natural oils of plant and animal origin demonstrated protective and therapeutic effects against DN in both animal models and limited clinical settings. Their beneficial effects were attributed to anti-inflammatory and antioxidant properties, enhanced nerve conduction velocity, and modulation of vascular and neurotrophic factors. Both oral and topical applications contributed to symptom improvement.

Due to the involvement of various signalling pathways and complex pathophysiology, DN has long been a condition with few acceptable treatment options. Although several natural oils have demonstrated activity against DN, very few clinical studies have been conducted to explore their therapeutic potential fully.

Natural oils represent a potential complementary strategy for managing DN. However, more rigorous clinical investigations are essential to confirm their safety, efficacy, and translational value.

The zebrafish (Danio rerio), which lives in tropical freshwater, is thought to be one of the best animal models for studying drugs and their effects. This model is unique for its fast growth, clear embryos, genetic similarity to humans, and low cost for experiments. Literature-based data were gathered and shared so that future researchers in the field of pharmacology could get an idea of what kind of work could be done.

Journal sources like Scopus, Springer, MDPI, and PubMed were used. Seventy-four research papers from 2000 to 2025 were reviewed, but some from before 2020 were added because they were more scientifically sound. Articles about fish that aren't zebrafish were left out.

In order to perform preclinical investigations of several ailments, including diabetes, cancer, cardiovascular disease, and neurological disorders, researchers are using zebrafish as an animal model. The reason behind its use is its similar genetic pattern, similar physiology, rapid development, and optical transparency.

Researchers have found heart-healthy phospholipids, antitumor peptides, and anti-diabetic chemicals in zebrafish models, which makes them a great way to study human pathophysiology. In vivo studies using zebrafish are also easy to expand and cost-effective.

The emerging zebrafish model is indispensable for translational investigation. This model works as a bridge connecting in vitro assays to mammalian models. The present article is an attempt to showcase the current perspective on the pharmacological model in view of drug discovery involving zebrafish.

Statins are widely prescribed for cardiovascular disease prevention, but their potential to increase diabetes risk has prompted regulatory warnings. Different statin drugs have varying physicochemical properties, yet comprehensive comparative assessments of their individual diabetes-related safety profiles remain limited in post-marketing surveillance data. Therefore, this study aimed to evaluate and compare the risk of diabetes-related adverse events among different statin drugs using pharmacovigilance data.

We analyzed adverse event reports from the FDA Adverse Event Reporting System (FAERS) database from 2004 to 2022. Diabetes-related adverse events were identified using relevant MedDRA Preferred Terms. Four pharmacovigilance algorithms—Reporting Odds Ratio (ROR), Medicines and Healthcare products Regulatory Agency (MHRA) standard method, Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinkage—were employed to detect signals. Positive signals were defined when all four methods showed significance. Outcome severity and time-to-event were also analyzed.

Among 13,438,409 ADE reports, 63,583 identified statins as primary suspect drugs, with 11,562 reporting diabetes-related events. Positive signals were detected for atorvastatin, rosuvastatin, simvastatin, pravastatin, and pitavastatin. Signal strength ranking showed atorvastatin had the strongest association (ROR 36.70; 95% CI 35.92-37.51), followed by rosuvastatin (ROR 9.63; 95% CI 9.10-10.19), pitavastatin (ROR 5.46; 95% CI 4.03-7.41), simvastatin (ROR 2.96; 95% CI 2.54-3.45), and pravastatin (ROR 2.82; 95% CI 2.14-3.71). In patients under 45, only atorvastatin showed a positive signal. Atorvastatin was associated with a higher risk of serious adverse events (PRR=1.37; 95% CI: 1.09-1.71) with a median time to event of 1,012 days.

Our findings revealed differences in diabetes-related risk profiles among statins, with atorvastatin demonstrating the strongest signals across different age groups. The observed risk hierarchy may be attributed to differences in lipophilicity, potency, and metabolic effects. The age-dependent patterns and extended time-to-event for diabetic events underscore the importance of long-term monitoring, complementing clinical trial data with post-marketing surveillance evidence for improved statin selection.

Different statins demonstrate varying associations with diabetes-related adverse events, with atorvastatin showing the strongest signal across age groups. These findings may inform clinical decision-making when prescribing statins, particularly for patients with pre-existing diabetes risk factors.

Pharmacological studies in vitro demonstrate the preventive and therapeutic potential of green tea and its constituent epigallocatechin-3-gallate (EGCG) in the fight against coronavirus disease 2019 (COVID-19). Previously reported correlations between per capita green tea consumption and COVID-19 morbidity/mortality suggest similar effects in vivo. Considering that some recent SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) sub-variants are less influenced by EGCG, this study aimed to determine whether this affects the aforementioned correlations, focusing on comparisons between the periods before (2021) and after (2022-2024) the emergence of the Omicron variant.

Correlations between per capita green tea consumption and COVID-19 morbidity/mortality were calculated using multiple regression models accounting for several confounding factors in a subset (n=84) of countries/territories worldwide with Human Development Index (HDI) above 0.55.

Higher per capita green tea consumption was associated with lower COVID-19 morbidity and mortality. Statistically significant correlations were observed in 2021-2024. Compared with 2021, the strength of both correlations decreased; the relative decrease in the strength of the correlation between per capita green tea consumption and COVID-19 mortality was notably less pronounced.

This differential decrease at the epidemiological level supports the idea that green tea consumption may have not only preventive but also therapeutic value regarding COVID-19. This aligns with in vitro pharmacological evidence indicating that green tea constituents target distinct molecular pathways responsible for the entry of the virus and its replication.

While promising, these findings require further assessment in observational and interventional studies focused on potential therapeutic benefits.