Celiac disease is a chronic, immune-mediated enteropathy precipitated by gluten exposure in genetically predisposed individuals, with a global prevalence of approximately 1%. Though diagnostic workflows incorporate serologic techniques with both histologic and genetic evaluation, each approach carries key pitfalls that contribute to diagnostic inaccuracy. Serology testing is limited by selective immunoglobulin A deficiency and low-titer antibodies, in addition to interlaboratory variability of calibration standards and specimen concentrations. While duodenal biopsy is considered the gold standard for celiac diagnosis, patchy villous atrophy (e.g., ultrashort celiac disease) mimics other enteropathies, and the inherent subjectivity of histologic interpretation can compromise accuracy. Furthermore, celiac predisposition is highly correlated with two human leukocyte antigen (HLA) alleles, HLA-DQ2 and HLA-DQ8. However, nearly 30–40% of the general population expresses one of these alleles, thus introducing the risk of overdiagnosis and limiting the practical implications of genetic testing. There exist special celiac presentations, such as seronegative or potential celiac disease, overlap syndromes, and enteropathy-associated T-cell lymphoma, that introduce additional challenges to diagnostic success. The serologic-histologic discordance and nonspecific symptoms associated with these cases may require divergence from the traditional workflow, as well as supplemental investigations, such as a gluten challenge or breath testing, to confirm a celiac diagnosis. These challenges in celiac diagnosis have driven research into novel biomarkers and molecular assays that can not only enable earlier, more accurate detection but also provide longitudinal disease monitoring. Such markers include intestinal fatty acid-binding proteins, specific microRNA expression, and microbiome signatures that are strongly linked to celiac disease, which may one day serve as adjunctive screening tools to optimize diagnostic yield. This narrative review identifies the key pitfalls in adult celiac disease diagnosis — from pre-analytic serology issues to patchy histology and overinterpretation of HLA — and proposes a guideline-aligned, stepwise algorithm (with emerging biomarkers) to enhance accuracy and reduce missed or delayed cases. Ultimately, continued refinement of a comprehensive, multimodal diagnostic strategy that can integrate with emerging molecular tools is necessary for overcoming the current limitations of individual approaches to celiac diagnosis.

Bone marrow metastasis (BMM) from non-hematolymphoid malignancies with resultant cytopenia(s) can mimic primary hematolymphoid disorders. This study aimed to investigate the clinical and pathological characteristics of BMM from non-hematopoietic tumors.

We conducted a retrospective cohort study of patients diagnosed with BMM by non-hematolymphoid malignancies at our institution over the past 10 years. Demographic and clinical characteristics, histopathological findings of bone marrow, types of metastatic tumors, and prognosis were analyzed.

A total of 54 cases were included. The four most common malignancies with BMM, regardless of gender, were prostatic adenocarcinoma (29.6%), breast carcinoma (25.9%), colorectal adenocarcinoma (5.5%), and lung carcinoma (5.5%). The main clinical and laboratory manifestations were anemia (90.7%), reticulocytosis (80.5%), thrombocytopenia (73.9%), bone pain (55.5%), disseminated intravascular coagulation (39.6%), leukoerythroblastosis (35.3%), and leukopenia (24%). The vast majority (96.3%) of metastatic tumors were identified by morphology alone; however, in approximately 2.7% of cases, immunohistochemistry was required due to subtle morphologic features. In 29.6% (16/54) of patients, BMM was identified prior to or concurrently with other metastatic sites. The median time interval between the initial diagnosis of non-hematolymphoid malignancies and BMM was 29 months. Although patients who received anti-tumor treatment after BMM diagnosis showed significantly improved prognosis (P < 0.01), no significant differences were observed between those treated with immunotherapy versus chemotherapy and/or radiotherapy (P = 0.145).

Prostate and breast carcinomas are the most common malignancies associated with BMM, with anemia, reticulocytosis, and thrombocytopenia being the most frequent clinical manifestations. While our data demonstrate that anti-neoplastic treatments, regardless of regimen, significantly improve overall survival after BMM, no significant survival differences were observed when prostate and breast carcinomas were compared with other types of BMM.

Nanobiotechnology has driven transformative advancements in healthcare, particularly in the development of innovative solutions for wound treatment, a persistent and costly global health concern. Among these advancements, the combination of biopolymers and metallic nanoparticles has attracted considerable interest due to their excellent biocompatibility and potent antimicrobial activity. This scoping review explores recent technological progress in wound care, with a focus on alginate-based dressings functionalized with metallic nanoparticles. Alginate, a highly versatile biopolymer, was frequently employed in diverse formats, including hydrogels, sponges, beads, films/membranes, and fibers, across the analyzed studies. Silver nanoparticles were the most extensively investigated agents, owing to their well-established efficacy and the development of strategies to mitigate associated risks. Other metallic nanoparticles were also reported, contributing to a growing body of evidence supporting their therapeutic relevance. The synergistic integration of alginate and metallic nanoparticles has shown promising potential to enhance the performance of wound dressings, representing a significant step forward in the design of next-generation materials for effective and targeted wound management.

Stroke patients have a high incidence of venous thromboembolism (VTE). Improving the prevention and control rates of VTE in stroke patients can enhance their quality of life. The aim of this study was to analyze the effect of 4R crisis management combined with the health belief model in the prevention and control of VTE in stroke patients.

A randomized controlled trial was conducted on 86 stroke patients in the neurosurgery department of a tertiary hospital in Wuhan. The control group was treated with the routine VTE prevention and control strategy, while the experimental group was treated with 4R crisis management combined with the health belief model. The primary outcome measures were the incidence rates of deep vein thrombosis and pulmonary thromboembolism, while the secondary outcome measures were the Short Form Health Belief Model Scale score, medical quality evaluation, and stroke patients’ health behavior scale score. The statistical analysis methods included t-tests and non-parametric tests.

After the intervention, the incidence rate of deep vein thrombosis in the control group was 14.6% (6/41), while in the experimental group it was 2.4% (1/41). The difference was statistically significant (χ2 = 3.905, P = 0.048). The incidence rates of pulmonary thromboembolism in both groups were 0%. The scores of all dimensions of the Short Form Health Belief Model Scale in the experimental group were higher than those in the control group, and the difference was statistically significant (P < 0.05, P < 0.01). The medical quality for each item showed that the experimental group performed better than the control group, with the difference being statistically significant (P < 0.05, P < 0.01). The scores on the stroke patients’ health behavior scale in the experimental group were higher than in the control group, except for responsibility, tobacco, and alcohol (P < 0.01).

The application of 4R crisis management combined with the health belief model can effectively improve the health beliefs and health behaviors of stroke patients to prevent VTE, thereby reducing the incidence of VTE.

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of electrocardiogram (ECG) non-linear features and different topological medical features (heart rate, anthropometry, blood, glucose, and lipid profile, and heart rate variability) to discriminate between different Framingham Cardiovascular Risk Scale status groups in adult obesity using machine learning.

We conducted a cross-sectional study between November 2023 and May 2024 in Fortaleza, Ceará, Brazil. Based on the Framingham Cardiovascular Risk Scale, patients were categorized into three cardiovascular risk groups: Low (22 participants), Moderate (14 participants), and High (17 participants). From ECG signals at two different positions (ECG_Down and ECG_UP), 27 non-linear features were extracted using multi-band analysis. Additionally, 42 medical features provided by physicians were included. From a pool of 19 machine learning classifiers, models were trained and tested within a nested leave-one-out cross-validation procedure using information solely from ECG, solely from medical features, and combining both (multimodal), respectively, to distinguish between Low vs. Moderate, Low vs. High, Moderate vs. High, and All vs. All.

The multimodal model presented the best results for every comparison group, reaching (1) 88.89% Accuracy and 0.8831 area under the curve (AUC) for Low vs. Moderate; (2) 97.44% Accuracy and 0.9706 AUC for Low vs. High; (3) 93.55% Accuracy and an AUC of 0.9412 for Moderate vs. High; (4) 86.79% Accuracy and 0.9346 AUC for All vs. All.

The multimodal model outperformed single-source models in cardiovascular risk classification. ECG-derived non-linear features, especially from ECG_Down, were key drivers, with medical features adding complementary value. The results support its potential use in clinical triage and diagnosis.

Gastrointestinal (GI) health is essential for maintaining systemic balance, influencing digestion, immunity, and neuroendocrine signaling. However, GI disorders such as irritable bowel syndrome, inflammatory bowel disease, gastroesophageal reflux disease, peptic ulcers, and constipation are increasingly prevalent, significantly affecting global health and healthcare economics. Although conventional pharmacological treatments offer symptomatic relief, their long-term use is often associated with adverse effects, resistance, and limited efficacy, prompting a shift toward alternative and complementary therapies. Traditional systems of medicine, such as Ayurveda, Traditional Chinese Medicine, Unani, and Siddha, emphasize holistic approaches, including herbal formulations that target underlying causes rather than just symptoms. This review provides a comprehensive analysis of the role of natural products and traditional herbals in GI health. It discusses key bioactive constituents, flavonoids, alkaloids, terpenoids, and polyphenols, known for their anti-inflammatory, antimicrobial, gastroprotective, and prebiotic properties. Widely used herbal remedies such as Triphala, licorice root, peppermint oil, turmeric, and psyllium are highlighted for their proven therapeutic actions. Additionally, the review documents more than 300 medicinal plants traditionally used in diverse cultures worldwide for managing GI conditions, based on ethnopharmacological evidence. While the therapeutic promise is substantial, challenges such as formulation standardization, herb-drug interactions, and limited clinical data remain. The review underscores the need for integrating traditional wisdom with modern scientific validation, offering a path forward for safe, effective, and personalized GI healthcare.

Parenteral nutrition (PN)-associated cholestasis (PNAC) is frequently diagnosed in premature infants; however, not all PN-exposed infants develop PNAC. We propose that, in premature infants receiving PN and varying amounts of enteral feeds, differences in the gut microbiome and fecal bile acid content are associated with PNAC development. This study aimed to examine the fecal microbiome and bile acid content of premature infants on PN to determine if there is a relationship with the development of PNAC.

Twenty-two preterm infants had serial bilirubin measurements and fecal samples collected during their neonatal intensive care unit admission. Fecal samples underwent 16S rRNA gene sequencing and bile acid analysis. Binomial regression, adjusting for postmenstrual age with feed amount as a moderator, was used to assess the impact of the fecal microbiome and bile acids on PNAC development.

Cholestatic patients (n = 11) had greater PN and antibiotic exposure (p = 0.020; p = 0.010) and longer neonatal intensive care unit stays (p = 0.0038) than non-cholestatic patients. Microbiome richness was higher in non-cholestatic infants (p < 2E-16), with no difference in β diversity (p = 1.0). Cholestatic infants had a significantly higher abundance of Proteobacteria and Fusobacteriota and a lower abundance of Bacteroidota (p < 2E-16). Akkermansia was abundant in all infants on low feeds; as feed volume increased, Akkermansia abundance significantly increased in non-cholestatic infants (p < 2E-16). Bile acid analysis demonstrated significantly lower deoxycholic acid concentrations in cholestatic infants (p < 2E-16). Metagenomic analysis revealed an increase in Proteobacteria requiring augmented stress responses in non-cholestatic infants.

This is the first study to directly explore the relationship between PNAC susceptibility, the microbiome, and fecal bile acids in preterm infants. The microbiome and bile acid patterns identified here may inform the development of targeted therapeutics for this vulnerable population.

Clove essential oil (CEO) derived from Syzygium aromaticum and miswak (Salvadora persica) contains bioactive compounds with antimicrobial properties. Due to the growing interest in alternatives to conventional antibiotics, this study aimed to evaluate the in vitro antimicrobial efficacy of CEO, miswak, and their combination against key peri-implantitis pathogens.

The antimicrobial activities of CEO, miswak, and their combinations were tested against Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, and Prevotella intermedia. Disc diffusion and serial dilution methods were used to measure the inhibition zones and minimum inhibitory concentrations, respectively. Doxycycline served as a standard antibiotic for comparison, while ethanol was used as a negative control. Data were analyzed using one-way analysis of variance and Tukey’s honestly significant difference test, with significance set at α = 0.05.

CEO exhibited inhibition zones of 10–16 mm, comparable to that of doxycycline (13–16 mm), whereas miswak (6–13 mm vs. 1–14 mm) and the CEO–miswak combination (8–14 mm vs. 0–14 mm) showed lower activity. Mean minimum inhibitory concentration values were lowest for doxycycline (1.73 ± 0.46 µg/mL), followed by CEO (2.37 ± 0.24 µg/mL) and CEO–miswak combination (2.92 ± 0.12 µg/mL). Statistical analysis showed that the CEO–miswak combination was less effective than CEO (p = 0.0326) and doxycycline (p = 0.0001), but not different from miswak (p = 0.9836). CEO showed slightly greater activity than miswak (p = 0.0605).

Among the natural extracts tested, CEO exhibited superior antimicrobial efficacy, whereas miswak was less effective. The combination of CEO with miswak did not enhance antimicrobial efficacy, suggesting antagonistic interactions between their bioactive compounds.

Familial hypobetalipoproteinemia (FHBL), caused by apolipoprotein B (APOB) variants, disrupts APOB-containing lipoprotein synthesis, leading to reduced serum total cholesterol, low-density lipoprotein cholesterol, and APOB. Heterozygous carriers are often asymptomatic, while homozygotes exhibit severe manifestations like malabsorption, vitamin deficiencies, and hepatic steatosis. In recent years, FHBL has attracted increasing attention due to its association with liver disease and its role as a unique monogenic model of steatotic liver disease independent of cardiometabolic risk factors. Mechanistically, lipid overload, endoplasmic reticulum stress, oxidative damage, and impaired autophagy may drive hepatocellular injury and fibrosis. Challenges include insufficient diagnosis, sparse epidemiological data, and unclear disease progression. Enhanced genetic testing, mechanistic research, and longitudinal studies are critical to improving diagnosis, risk assessment, and therapies for FHBL-associated liver disease.

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.

Characteristic signs of alopecia are gradual thinning, disruption of structural features, and the hair development cycle (anagen, catagen, telogen) against the background of miniaturization of hair follicles, which leads to baldness and psychological stress in patients. Despite the rapid development and clinical application of synthetic pharmacological, cellular/acellular, and molecular drugs, no effective therapeutic agent against alopecia has yet been developed. Great hopes are pinned on the improvement of therapeutic strategies with the introduction of exosomes into practical application, which contain a wide array of active substances for the targeted stimulation of hair follicle activity (anagen inducers) through the regulation of intracellular signaling cascades, growth factors, and microRNAs. The review discusses in detail the microRNAs and their intracellular targets that control hair follicle morphogenesis. It also focuses on the prospects of using stem cell exosomes from various sources for the treatment of alopecia, providing a clinical rationale for potential benefits and risks.

Potential celiac disease (PCD) is defined as elevated celiac serology with a preserved small intestinal mucosa. This study aimed to identify baseline characteristics and the outcomes of children with PCD consuming a gluten-containing diet.

This was a retrospective cohort study of pediatric PCD patients diagnosed between 12/2018 and 10/2024. Baseline data included demographics, anthropometrics, clinical symptoms and signs, celiac serology, and biopsy results. Follow-up data included repeat serology and biopsy results when performed.

PCD was diagnosed in 75/517 (14.5%) children undergoing upper endoscopy for suspected celiac disease (CeD). Baseline anti-transglutaminase IgA (TTG) was above 10× the upper limit of normal (ULN) in 18 (24%), between 3–10× ULN in 52 (69.3%), and <3× ULN in five (6.6%). Anti-endomysial antibody was positive in 57 (76%). Among 48 children (64%) with at least one year of follow-up, TTG normalized in 26 (54.1%), decreased to <3× ULN in 13 (27.1%), was between 3–10× ULN in six (12.5%), and was above 10× ULN in three (6.3%). Nine children had a repeat endoscopy, and six (66.7%) were diagnosed with CeD, while three remained PCD. Among the 11 children with TTG >10× ULN and at least one year of follow-up, TTG normalized in three, declined in five, and increased or remained above 10× ULN in three.

PCD is common and may be found in children with TTG above 10× ULN; approximately half will normalize TTG. The omission of biopsies may result in an erroneous diagnosis of CeD.

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer and continues to be a major cause of cancer-related mortality, particularly in regions of China with a high hepatitis B virus prevalence. Early-stage diagnosis remains challenging due to its asymptomatic onset and the limited sensitivity of conventional biomarkers, which together contribute to delayed detection, suboptimal therapeutic outcomes, and poor prognosis. These limitations underscore the urgent need for reliable, sensitive, and specific biomarkers to enable timely detection and targeted intervention. Protein induced by vitamin K absence or antagonist-II, an abnormal prothrombin variant generated under vitamin K deficiency or antagonism, has emerged as a promising candidate with diagnostic and therapeutic relevance in HCC. This review critically examines the molecular and biological characteristics of protein induced by vitamin K absence or antagonist-II, evaluates its clinical utility in HCC diagnosis and management, and delineates the current limitations hindering its broader application. Furthermore, future perspectives are proposed to guide translational research and clinical implementation. Collectively, this review aims to provide a comprehensive theoretical framework to advance precision diagnosis and individualized treatment strategies for HCC.

Myosteatosis is associated with poor outcomes in various liver diseases. However, standardized methods for assessing, defining, and diagnosing myosteatosis in the context of liver diseases remain unclear. Furthermore, the underlying mechanisms by which myosteatosis leads to pathophysiological progression and adverse health outcomes remain elusive. Therefore, in this review, we elaborate on the currently available measures, definitions, and diagnostic criteria of myosteatosis in the existing literature. We thoroughly clarify the recent evidence and data regarding the possible involvement of myosteatosis in the progression and deterioration of various liver diseases and resulting complications, including liver cirrhosis, chronic viral hepatitis, non-alcoholic/metabolic-associated fatty liver disease, primary sclerosing cholangitis, liver transplantation, and hepatocellular carcinoma. Additionally, it synthesizes insights from basic research on the pathogenesis of myosteatosis, which involves multifactorial mechanisms, including insulin resistance, mitochondrial dysfunction, and chronic inflammation. Finally, from an operational and pragmatic perspective, several regimens, including physical, nutritional, and pharmacological therapies, have been discussed as potential treatments for myosteatosis.

The gut microbiota is crucial in maintaining host health and liver function. Fecal microbiota transplantation (FMT) has shown promising potential in treating chronic liver diseases. To help clinicians quickly master and standardize the clinical application of FMT for chronic liver disease, the Liver Related Digestive Diseases Group of the Chinese Society of Hepatology of the Chinese Medical Association has developed the “Expert Consensus on the Clinical Application of FMT for Chronic Liver Disease.” This consensus addresses the key aspects of FMT, including the indications, contraindications, efficacy, safety, donor selection, transplantation routes, precautions, and the prevention and management of adverse reactions for chronic liver conditions, such as chronic hepatitis, cirrhosis, and liver cancer, thereby offering reference and guidance to clinicians implementing FMT in the treatment of chronic liver disease.

Bacterial infections (BIs) are common and severe complications in patients with liver cirrhosis, but global data are limited. Here, we aimed to evaluate the global prevalence, temporal changes, and associated mortality risk of BIs in liver cirrhosis.

We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library for eligible studies published without language restrictions until 11 August 2025. A random-effects model was used for meta-analyses, meta-regression by study year, and pooling adjusted hazard ratios.

Fifty-nine studies, including 1,191,421 patients with cirrhosis, were analyzed. The pooled prevalence of BIs (33 studies) was 35.1% (95% confidence interval (CI): 29.2–41.4). The prevalence of Escherichia coli and Streptococcus spp. was 3.8% (95% CI: 2.5–5.2) and 1.5% (95% CI: 0.8–2.6), respectively. The pooled prevalence of multidrug-resistant bacteria was 6.8% (95% CI: 4.0–11.3). The most common BI sites were the gastrointestinal tract, ascites fluid, and urinary tract. The highest prevalence of BIs was reported in Europe (38.2%; 95% CI: 24.8–53.6), followed by South America (37.5%; 95% CI: 29.7–46.1) and Asia (22.8%; 95% CI: 16.3–30.9). Patients with acute-on-chronic liver failure showed the highest prevalence of BIs (44.2%; 95% CI: 29.7–59.8). A modest increasing trend in BIs prevalence was observed over time. BIs were associated with an increased risk of mortality in patients with cirrhosis (adjusted hazard ratios 2.22, 95% CI 1.33–3.71).

BIs are prevalent in cirrhosis, especially in acute-on-chronic liver failure, with a modest upward trend and increased mortality risk.

COVID-19 has resulted in significant long-term sequelae in convalescent patients, impacting overall quality of life. Traditional Chinese medicine (TCM) has shown promise in managing post-COVID-19 symptoms through syndrome differentiation. This study aimed to evaluate the efficacy and safety of TCM in COVID-19 convalescent patients in a real-world setting.

This prospective, real-world study will be conducted at Guangdong Provincial Hospital of Traditional Chinese Medicine. A total of 528 COVID-19 convalescent patients will be recruited and divided into two groups: a control group receiving routine Western medical treatment and an intervention group receiving additional TCM treatment based on syndrome differentiation. Patients will be assessed for three major TCM syndromes: Lung-Spleen Qi Deficiency, Qi-Yin Deficiency, and Cold Phlegm Obstructing the Lung, with corresponding TCM prescriptions administered accordingly. The primary outcome measure will be the improvement in clinical symptom scores based on a TCM symptom scoring system. Secondary outcomes will include changes in laboratory tests, imaging studies, heart function classification, and quality of life scores. Safety will be assessed through liver and kidney function tests and adverse event monitoring.

The study is expected to demonstrate that TCM treatment, based on syndrome differentiation, can significantly improve clinical symptoms and overall health in COVID-19 convalescent patients compared to routine Western medical treatment. These findings will provide evidence for integrating TCM into post-acute COVID-19 care.

This study will contribute to the evidence supporting TCM as an effective treatment for post-COVID-19 syndrome, enhancing patient outcomes and informing comprehensive recovery strategies.

Sterol regulatory element-binding protein 1 (SREBP1), a key regulator of lipogenesis, is highly expressed in tumors, but the mechanisms sustaining its elevated levels remain unclear. The role of UFMylation, a posttranslational modification, in modulating SREBP1 stability and tumor progression has not been explored. This study aimed to investigate the role of UFMylation in the progression of liver cancer.

Liquid chromatography-tandem mass spectrometry was employed to investigate the interacting proteins of ubiquitin-fold modifier 1-specific ligase 1 (UFL1). Knockdown of UFL1 and DDRGK domain-containing protein 1 (DDRGK1) was performed to assess SREBP1 stability. In vitro and in vivo models of hepatocellular carcinoma (HCC) were used to evaluate tumor progression. Clinical correlations between UFL1/DDRGK1 and SREBP1 levels were analyzed in HCC patient samples.

SREBP1 undergoes UFMylation, which synergizes with ubiquitination to reduce its stability. Depletion of UFL1 or DDRGK1 increased SREBP1 stability, driving HCC progression. Clinically, UFL1 and DDRGK1 levels were reduced in HCC tissues and inversely correlated with SREBP1 expression. Fatostatin (an SREBP1 inhibitor) enhanced the therapeutic effect of Lenvatinib in HCC models with low UFL1 expression.

UFMylation is a critical posttranslational modification that destabilizes SREBP1, and its dysregulation contributes to HCC progression. Targeting the UFMylation-SREBP1 axis, particularly through Fatostatin and Lenvatinib combination therapy, represents a novel therapeutic strategy for HCC.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is now the most common chronic liver disease in the Western world, driven by obesity, insulin resistance, and systemic inflammation. Its progressive form, metabolic dysfunction-associated steatohepatitis (MASH), can culminate in cirrhosis and hepatocellular carcinoma (HCC). While lifestyle modification remains central to MASLD management, there is growing interest in pharmacological interventions, particularly nutrient-stimulated hormone-based therapies (NuSHs), such as GLP-1 receptor agonists. NuSHs exert metabolic and anti-inflammatory effects primarily via weight loss and improved insulin sensitivity. Emerging clinical data support their efficacy in resolving MASH without worsening fibrosis. However, benefits in cirrhotic patients are less evident, suggesting greater utility in early intervention. Observational studies and clinical trials suggest a reduction in liver-related morbidity with GLP-1 receptor agonist use, though fibrosis regression remains inconsistent. Preclinical models indicate that NuSHs may also reduce MASH-related HCC incidence and tumor burden, likely through systemic metabolic improvements rather than direct antineoplastic action. Observational human data following bariatric surgery reinforce this link, suggesting that weight loss itself plays a key preventive role. Herein, we propose that NuSHs are promising candidates for MASH-related HCC prevention. We provide mechanistic suggestions for how this may occur. Furthermore, incorporating NuSHs into the post-locoregional treatment pathway for HCC may delay the need for systemic anti-cancer therapies, improve immunotherapy synergy and transplant eligibility, and even slow disease progression through reversal of carcinogenic drivers. Future studies are needed to target oncological endpoints and clarify immunometabolic mechanisms to guide the integration of NuSHs into MASLD treatment algorithms.

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.