Glioblastoma remains a highly challenging malignancy with a pronounced tendency for recurrence. The hypoxic microenvironment is a key contributor to its therapy resistance. Hyperbaric oxygen therapy (HBOT), which elevates tissue oxygen pressure and reverses hypoxia, exhibits a “dual effect” in glioblastoma management. This review aims to evaluate the therapeutic potential of HBOT in glioblastoma by examining its multifaceted effects on tumor biology and treatment response. On one hand, it enhances radiosensitivity through reactive oxygen species generation, increases chemotherapy efficacy by augmenting cytotoxicity and improving vascular perfusion, and remodels the tumor microenvironment via vessel normalization, edema reduction, and immune cell modulation. Furthermore, HBOT attenuates cancer stem cell properties by downregulating stemness markers and inhibiting self-renewal capacity. On the other hand, HBOT may also promote tumor progression: oxidative stress can induce genomic instability, while concomitant activation of HIF-, NF-κB-, and VEGF-mediated pro-survival pathways may facilitate malignant cell adaptation and proliferation. Given these opposing considerations, the clinical application of HBOT in glioblastoma management remains exploratory. In conclusion, future research should focus on optimizing HBOT protocols. In addition, exploring combination with other therapeutic approaches is equally important. These efforts are essential for the safe and effective integration of HBOT into comprehensive treatment strategies for glioblastoma.

Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and observational longitudinal studies. However, few studies have examined the reporting quality of trend analyses. Moreover, the reporting of recommended statistical metrics in trend analyses remains largely unclear. Therefore, we assessed the reporting quality of trend analyses based on reporting of recommended statistical metrics. We systematically searched the PubMed for the trend-analysis articles published in 10 leading medicine and oncology journals over an 11-year period (2008–2018). Studies published after 2019 were excluded due to a sudden, significant increase in publication numbers during and immediately after the COVID-19 pandemic. Only original articles, research letters, and meta-analyses/systematic reviews were included. We scored the reporting quality of these articles based on whether they reported p-values, effect sizes, beta/coefficient/slope/annual-percentage-change (APC). 297 articles met the inclusion criteria. Among these, 193 (66.0%) reported p-values and 216 (72.7%) reported effect sizes. Only 13 (5.8%) analyses reported neither p-values/effect sizes nor beta/coefficient/slope/APC. In multivariable regression models, authors affiliated with epidemiology departments were less likely to report effect sizes, whereas those from statistics departments were more likely to do so. Interestingly, U.S.-based senior authors (versus non-U.S.) more likely reported p-values. No factors were independently associated with reporting APC. Overall, the reporting quality of trend analyses in leading medicine and oncology journals appears moderate and warrants improvement. We thus call for increased awareness and further research on reporting quality in trend analyses in oncology research and beyond.

Amaranth is conventionally consumed as a significant source of nutrients and bioactive compounds and is a potential alternate crop. The present study aimed to validate the folklore and ethnomedicinal claims regarding the utilization of foliar tissues of the pseudocereal Amaranthus hypochondriacus L. for their pharmacological propensities, primarily focusing on bioactive polyphenolic compounds and associated anti-degenerative properties, in view of the scarce evidence available on the same.

Reverse-phase high-performance liquid chromatography coupled with a photodiode array assay of nineteen significant bioactive polyphenolic compounds, along with their in vitro antioxidant-based pharmacological properties (superoxide and hydroxyl radical scavenging properties, metal-chelating and reducing properties, radical scavenging properties, anti-lipid peroxidation and protein coagulation properties, and α-glucosidase and α-amylase inhibitory activities), were assessed and compared for foliar extracts of ten promising experimental accessions of Amaranthus hypochondriacus, grown in two different seasons (summer and winter).

The results exhibited germplasm-specific variations in the pharmacological potential of foliar tissues of the experimental amaranths, which can be substantiated by data showing a close correlation between the abundance of bioactive polyphenolic compounds (naringin, myricetin, naringenin, apigenin, rutin, catechin, quercetin) and in vitro antioxidant (2,2-diphenyl-1-picrylhydrazyl, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) assay, hydroxyl radical scavenging, reducing, and metal-chelating) properties, as well as anti-diabetic (inhibition of α-glucosidase and α-amylase activities) and anti-inflammatory (anti-lipid peroxidation) attributes. Accessions IC107144 and IC47434 stood out as the most promising medicinal crops based on overall in vitro anti-degenerative properties and the bioavailability of polyphenolic compounds.

Overall, the results validated the traditional ethnomedicinal claim regarding the utilization of foliar tissues of the underutilized pseudocereal Amaranthus hypochondriacus L., and identified lead germplasms (IC107144 and IC47434) as low-cost natural sources of bioactive compounds, potentially promoting their pharmacological utilization.

End-stage liver disease (ESLD) is characterized by a dramatic deterioration of liver function, frequently accompanied by systemic inflammatory storms and multiple organ failures. Central to the onset and progression of ESLD, systemic inflammation arises from complex interactions among various inflammatory signaling molecules and immune cells within and beyond the liver. As key inflammatory modulatory molecules, bioactive oxylipins have been increasingly recognized for their complex molecular mechanisms implicated in various diseases. This review aims to summarize recent findings regarding the molecular and immunological mechanisms through which oxylipins contribute to the development of liver injury and failure, with emphasis on both substantial intrahepatic and extrahepatic immune and inflammatory dysregulation associated with ESLD. Furthermore, this review discusses the translational potential of targeting oxylipins for clinical diagnosis, prognosis, and therapeutic intervention in ESLD.

Chaperone-like proteins are involved in the pathogenesis of coronavirus infection through regulation of the viral life cycle, immune response, and antigen presentation. A recently discovered class of chaperones, called heat-resistant obscure proteins (Hero proteins), performs functions similar to other molecular chaperones. This study aimed to investigate the association between the gene encoding the Hero protein SERF2 (Hero7) and the risk of severe COVID-19.

This case-control study was conducted according to the STROBE protocol. A total of 1,373 unrelated Russians (178 patients with severe COVID-19 and 1,195 controls) were recruited. Genotyping of rs4644832 in the SERF2 gene was performed using a probe-based polymerase chain reaction approach. The effects of the single nucleotide polymorphisms (SNPs) were analyzed using bioinformatics tools, including GTExPortal, eQTLGen, HaploReg, atSNP, Gene Ontology, Lung Disease and Common Metabolic Diseases Knowledge Portals, and the STRING database.

SNP rs4644832 in the SERF2 gene (effect allele G) was associated with a decreased risk of severe COVID-19 in the total sample (odds ratio (OR) = 0.56, 95% confidence interval (CI) 0.39–0.81, P = 0.001), females (OR = 0.51, 95% CI 0.31–0.87, P = 0.006), non-smokers (OR = 0.46, 95% CI 0.29–0.74, P = 0.0004), individuals with body mass index ≥ 25 (OR = 0.42, 95% CI 0.25–0.7, P = 0.0004), individuals with low fruit and vegetable intake (OR = 0.38, 95% CI 0.22–0.67, P = 0.0004), and individuals with low physical activity (OR = 0.41, 95% CI 0.23–0.75, P = 0.002).

The G allele of rs4644832 in the SERF2 gene appears to have a protective effect against severe COVID-19. Functional annotation of rs4644832 suggests that it may influence COVID-19 pathogenesis through regulation of proteostasis, ubiquitination, inflammation-induced protein aggregation, the viral life cycle, and cytoskeletal functions.

Phenylethanoid glycosides (PhGs) are water-soluble natural compounds widely distributed in the plant kingdom, attracting significant attention from medicinal chemists due to their promising potential in pharmaceutical applications. PhGs exhibit a broad range of activities, including neuroprotective, hepatoprotective, anti-inflammatory, antioxidant, and immunomodulatory effects. This review aims to update the hepatoprotective effects of total PhG extracts and individual PhG compounds, as well as the underlying mechanisms. Additionally, we describe the structural characteristics, representative PhG compounds, and their structure–activity relationships. In brief, total PhG extracts can exert synergistic protection by reducing serum alanine aminotransferase/aspartate aminotransferase levels, suppressing oxidative stress, and attenuating inflammatory responses. Representative PhGs, including acteoside (verbascoside), echinacoside, forsythoside A (also known as forsythiaside A), and cistanoside A, protect against liver injury through modulation of the Nrf2/HO-1, NF-κB, MAPK, and TGF-β/Smad pathways, thereby regulating oxidative stress, inflammation, apoptosis, fibrosis, and lipid metabolism. Structurally, PhGs consist of a phenylethyl alcohol core, cinnamoyl residues, and glycosyl moieties. Structure–activity relationship analyses indicate that caffeoyl substitution, multiple phenolic hydroxyl groups, and optimal glycosylation patterns are key determinants of hepatoprotective efficacy.

Hepatocellular carcinoma (HCC) remains one of the most fatal cancers, primarily due to late diagnosis and the lack of effective early biomarkers. Recent advances in multi-omics and liquid biopsy technologies hold promise for improving early detection, prognostication, and monitoring of HCC. Understanding the immune landscape of HCC through genetic and epigenetic signatures is essential for identifying therapeutic targets and improving immunotherapy outcomes. This review aims to present current findings on immune-related biomarkers, multi-omics strategies, and biomarker validation in HCC. It also aims to evaluate the role of liquid biopsy and gene signatures in predicting treatment responses, with a specific focus on their applications in immunotherapy. The goal is to provide a comprehensive framework for integrating these emerging tools into clinical practice. The integration of multi-omics approaches has led to the identification of robust gene signatures that predict HCC prognosis and response to immune checkpoint inhibitors. Liquid biopsy technologies, including circulating tumor DNA, provide non-invasive alternatives for monitoring tumor evolution and therapeutic responses. Despite promising results, challenges remain in clinical validation, particularly in cross-platform reproducibility and the interpretation of complex multi-omics data. While genetic biomarkers are rapidly advancing, their clinical application in personalized medicine remains hindered by technical and ethical challenges, such as data privacy, informed consent, and method standardization. The integration of multi-omics data and liquid biopsies offers a promising path toward real-time, personalized treatment and the development of universal prognostic signatures for HCC. However, successful clinical adoption depends on cross-disciplinary collaboration to standardize data protocols and overcome challenges regarding accuracy, reproducibility, and patient privacy.

Liver fibrosis is characterized by the excessive deposition of extracellular matrix, a process primarily driven by activated hepatic stellate cells (HSCs), and currently lacks effective therapy. Cathepsin K (CTSK) exhibits context-dependent roles across organ systems in fibrosis, but its function in liver fibrosis is unclear. This study aimed to investigate the role and underlying mechanisms of CTSK during liver fibrosis.

CTSK expression was analyzed in human fibrotic liver samples via transcriptomic analysis and confirmed in murine fibrosis models. The function of CTSK was investigated in both primary HSCs and LX-2 cells by assessing its effects on cell activation, proliferation, apoptosis, and the underlying signaling pathways following CTSK overexpression. The therapeutic potential was evaluated using an adeno-associated virus serotype 8 to overexpress CTSK in two etiologically distinct murine fibrosis models.

CTSK was upregulated in activated HSCs and fibrotic livers. Furthermore, we discovered that it mediates a negative feedback loop to inhibit the TGF-β/Smad pathway via Smad7/Smurf2-dependent TGF-β receptor-I degradation, thereby suppressing HSC activation and proliferation. CTSK also induced mitochondrial apoptosis through Bax/Bcl-2 imbalance and caspase-3 activation. Together, these actions contribute to the anti-fibrotic effect of CTSK. Notably, adeno-associated virus serotype 8-mediated CTSK overexpression attenuated liver fibrosis across multiple murine models.

Our study demonstrates that elevated CTSK functions as an endogenous protective factor that attenuates liver fibrosis. CTSK mediates negative feedback inhibition of the TGF-β pathway while concurrently promoting the mitochondrial apoptosis pathway. The dual anti-fibrotic mechanisms identify CTSK as a promising therapeutic target for liver fibrosis.

Human papillomavirus (HPV) is a double-stranded circular DNA virus with a genome of approximately 7–8 kb. This study aimed to establish an overlapping extension polymerase chain reaction method for the amplification of the entire genome of HPV16.

The HPV16 genome was divided into two larger fragments (with lengths of 3.9 kilobases and 5.3 kilobases, respectively), each of which had overlapping regions of more than 500 base pairs. A nested primer (outer primer: Fout/Rout; inner primer: Fin/Rin) was used to amplify each fragment. The key reaction parameters were optimized, including the selection of two highly accurate DNA polymerases; and a series of diluted samples (initial concentration of 2,000 copies/microliter, diluted to 2, 20, 200, and 2,000 copies/microliter) were used for amplification tests to evaluate the sensitivity of this method.

This study demonstrated high sensitivity for HPV16 detection, with effective amplification of samples as low as 2 copies/µL. For low-concentration samples (<200 copies/µL), the Thermo Fisher enzyme showed 50% and 75% effective amplification success rates at 2 copies/µL and 20 copies/µL, respectively, while the Vazyme enzyme achieved 0% success at both concentrations. Both enzymes enabled stable amplification of high-concentration samples (≥200 copies/µL). The amplified products matched the theoretical size, and Illumina sequencing confirmed Q30 ≥ 96% and >98% identity with the HPV16 reference sequence (K02718.1).

This study provides a highly sensitive and specific method for the full-genome sequence analysis of HPV16, which is applicable to HPV16 full-genome sequencing, variation analysis, and other research.