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At least 91 records · Page 5Linked to original sources
PubMed2026

Paired Exome-Based Comprehensive Genomic Profiling and Germline Genetic Testing for Unselected Patients With Colorectal Cancer in a Multicenter Prospective Study.

BACKGROUND AND AIMS: Comprehensive genomic profiling (CGP) for tumors and germline genetic testing (GGT) inform precision therapy and clinical management of patients with colorectal cancer (CRC), and evidence is growing in support of universal paired CGP-GGT patient testing. However, the utility of combining CGP and GGT for early-stage CRC (ESC) and early-onset CRC (EOC) is unclear. METHODS: We performed a prospective, multisite study featuring GGT using an 80+ gene next-generation sequencing platform and exome-based CGP among CRC patients (unselected for age, stage, family history) receiving care at Mayo Clinic Cancer Centers between April 1, 2018, and March 31, 2020. RESULTS: A total of 150 CRC patients had GGT and exome-based CGP performed. ESC patients had an enrichment of high microsatellite instability and high tumor mutation burden. High microsatellite instability was also enriched in those with smoking history, and in tumors with mutated BRAF, homologous recombination deficiency, or at least 1 variant in the rat sarcoma virus pathway. Moreover, patients with smoking history were enriched in BRAF and other Tier 1 or 2 variants overall. Sixteen percent of patients harbored a pathogenic germline variant, most frequent being in Lynch syndrome genes. Paired GGT and CGP testing had high rates of clinically significant findings (≈70%) with the most frequent being high tumor mutation burden status. Pathway and mutational signature analysis revealed frequent CGP mutations in DNA repair and cell cycle pathways. CONCLUSION: These data suggest that universal, combined GGT-CGP increases clinical utility for EOC and ESC patients. This is key for EOC patients who tend to experience poorer outcomes. CGP-GGT expedites germline resolution for tumor mutations in hereditary cancer genes, reducing delays and facilitating identification of relevant therapies, clinical trials, and management recommendations.

Colorectal Cancer↗
PubMed2024

Integrated Multi-Omics Analyses Reveal Lipid Metabolic Signature in Osteoarthritis.

Osteoarthritis (OA) is the most common degenerative joint disease and the second leading cause of disability worldwide. Single-omics analyses are far from elucidating the complex mechanisms of lipid metabolic dysfunction in OA. This study identified a shared lipid metabolic signature of OA by integrating metabolomics, single-cell and bulk RNA-seq, as well as metagenomics. Compared to the normal counterparts, cartilagesin OA patients exhibited significant depletion of homeostatic chondrocytes (HomCs) (P&#xa0;=&#xa0;0.03) and showed lipid metabolic disorders in linoleic acid metabolism and glycerophospholipid metabolism which was consistent with our findings obtained from plasma metabolomics. Through high-dimensional weighted gene co-expression network analysis (hdWGCNA), weidentified PLA2G2A as a hub gene associated with lipid metabolic disorders in HomCs. And an OA-associated subtype of HomCs, namely HomC1 (marked by PLA2G2A, MT-CO1, MT-CO2, and MT-CO3) was identified, which also exhibited abnormal activation of lipid metabolic pathways. This suggests the involvement of HomC1 in OA progression through the shared lipid metabolism aberrancies, which were further validated via bulk RNA-Seq analysis. Metagenomic profiling identified specific gut microbial species significantly associated with the key lipid metabolism disorders, including Bacteroides uniformis (P&#xa0;<&#xa0;0.001, R&#xa0;=&#xa0;-0.52), Klebsiella pneumonia (P&#xa0;=&#xa0;0.003, R&#xa0;=&#xa0;0.42), Intestinibacter_bartlettii (P&#xa0;=&#xa0;0.009, R&#xa0;=&#xa0;0.38), and Streptococcus anginosus (P&#xa0;=&#xa0;0.009, R&#xa0;=&#xa0;0.38). By integrating the multi-omics features, a random forest diagnostic model with outstanding performance was developed (AUC&#xa0;=&#xa0;0.97). In summary, this study deciphered the crucial role of a integrated lipid metabolic signature in OA pathogenesis, and established a regulatory axis of gut microbiota-metabolites-cell-gene, providing new insights into the gut-joint axis and precision therapy for OA.

Humans↗
PubMed2005

Stereotactic hypofractionated radiotherapy for stage I non-small cell lung cancer--mature results for medically inoperable patients.

UNLABELLED: Medically inoperable patients with stage I NSCLC are mainly offered conventionally fractionated radiotherapy with a limited chance of local control and some toxicity. A technique for stereotactic precision therapy for extracranial tumors using a linear accelerator and a body frame for patient immobilization was applied in an attempt to improve the local control and decrease toxicity for consecutive patients with inoperable stage I NSCLC at Sahlgrenska University hospital since 1998. A hypofractionated schedule with three fractions of 15Gy to a total of 45 Gy during 1 week was used which represents a biological equivalent dose (BED) of 112.5 Gy. Planning target volume (PTV) was a 5mm margin around the tumor in the transversal plane and 10mm in the cranial-caudal direction and the dose was prescribed in the periphery of the PTV. Forty-five patients were treated between September 98 and March 03, 25 men and 20 women, median age 74 years (58-84) and median Karnofsky 80 (100-60). TNM: 18 T1N0, 27 T2N0. HISTOLOGY: 18 squamous cell carcinoma, 15 adenocarcinoma, 3 NSCLC and histology was missing in nine patients. The majority, 51%, did not experience any toxicity at all, four had esophagitis grade I, nine had skin reactions, four had transient chest pain and four had infections. Late toxicity was two rib fractures and three patients with atelectasias. After a median follow-up of 43 months had nine patients developed local recurrence or never achieved local control, two had regional recurrence and nine distant metastases. The 1-, 2-, 3- and 5-year overall survival was 80, 71, 55 and 30%, respectively, with a median survival of 39 months. No prognostic factor for survival could be identified among histology, tumor stage and size, gender and age. We think this hypofractionated stereotactic radiotherapy shows encouraging survival and a relatively low toxicity in this elderly population with substantial comorbidity. A multicenter randomized trial comparing this treatment with conventional fractionated radiotherapy is under way.

Aged↗
PubMed2026

Deep tissue sequencing improves genetic diagnostic yield in focal cortical dysplasia.

Focal cortical dysplasias (FCDs) are malformations of cortical development associated with drug-resistant focal epilepsy. We analyzed surgical tissue from 25 consecutive cases recruited from adult and pediatric epilepsy surgery programs. We performed high-depth sequencing of lesional tissue, validated somatic variants using droplet digital PCR or amplicon sequencing, and investigated genotype-phenotype correlations. A pathogenic or likely pathogenic variant was detected in 64% (n&#xa0;=&#xa0;16/25) of cases. Of these, five cases with FCDIIa or FCDIIb had germline variants in NPRL3 (n&#xa0;=&#xa0;3) or DEPDC5 (n&#xa0;=&#xa0;2). Somatic variants were identified in 44% (n&#xa0;=&#xa0;11/25) of cases. The genetic yield for FCDIIb was 77% of cases having a pathogenic mTOR pathway variant detected (n&#xa0;=&#xa0;10/13), and for FCDIIa 66% (n&#xa0;=&#xa0;6/9). High depth sequencing approaches allowed detection of somatic variants with very low (down to 0.4%) variant allele fractions (VAFs). No pathogenic variants were detected in 3 cases with FCDI. 62% (n&#xa0;=&#xa0;15/24) of the cases with &#x2265;12&#xa0;months follow up experienced a favourable seizure outcome (Engel 1-2) following surgery. Of note, n&#xa0;=&#xa0;9 patients required repeat surgery to resect residual dysplasia. Determining a genetic diagnosis reveals aetiology and paves the way to precision therapies that may benefit those with FCD who do not respond to current treatments.

Humans↗
PubMed2003

Stereotactic body frame based fractionated radiosurgery on consecutive days for primary or metastatic tumors in the lung.

To evaluate the feasibility and treatment outcomes of stereotactic radiosurgery (SRS) using a stereotactic body frame (Precision Therapy), we prospectively reviewed 34 tumors of the 28 patients with primary or metastatic intrathoracic lung tumors. Eligible patients included were nine with primary lung cancer and 19 with metastatic tumors from the lung, liver, and many other organs. A single dose of 10 Gy to the clinical target volume (CTV) was delivered to a total dose of 30-40 Gy with three to four fractions. Four to eight coplanar or non-coplanar static fields were generated to adequately cover the planning target volume (PTV) as well as to exclude the critical structures as much as possible. More than 90% of the PTV was delivered the prescribed dose in the majority of cases (average; 96%, range; 74-100%). The mean PTV was 41.4 cm(3) ranging from 4.4 to 230 cm(3). Set-up error was within 5 mm in all directions (X, Y, Z axis). The response was evaluated by using a chest CT and/or 18FDG-PET scans after SRS treatment, 11 patients (39%) showed complete response, 12 (43%) partial response (decrease of more than 50% of the tumor volume), and four patients showed minimally decreased tumor volume or stable disease, but one patient showed progression disease. With a median follow-up period of 18 months, a local disease progression free interval was ranging from 7 to 35 months. Although all patients developed grade one radiation pneumonitis within 3 months, none had symptomatic or serious late complications after completing SRS treatment. Given these observations, it is concluded that the stereotactic body frame based SRS is a safe and effective treatment modality for the local management of primary or metastatic lung tumors. However, the optimum total dose and fractionation schedule used should be determined after the longer follow-up of these results.

Adult↗
PubMed2026

Enrichment Performance Assessment of Extracellular Vesicles Using Different Functionalized Magnetic Materials and Application in Urinary Proteomics of Prostate Cancer.

Extracellular vesicles (EVs) are lipid bilayer nanovesicles that mediate intercellular communication and hold significant potential for clinical applications. Although material-based isolation strategies offer promising alternatives to conventional methods, their relative performances have not been systematically evaluated. In this study, we conducted a comparative assessment of magnetic nanomaterials with distinct surface functionalities, including metal oxides (TiO2), metal-organic frameworks (UiO-66), biopolymeric materials (chitosan), and lipid probes (DSPE-PEG, DOPE-PEG, and CLS-PEG). A comprehensive evaluation across multiple dimensions including capture capacity, capture rate, sample volume, and product purity reveals that the bifunctional magnetic nanomaterial Fe3O4@UiO-66@DSPE material exhibits superior EV capture performance. This material enables the efficient and stable enrichment of high-purity EVs by synergizing Zr4+-phosphate coordination with lipid bilayer anchoring, and preserves EV biological integrity and activity. Meanwhile, this method could be highly compatible with proteomics, and over 1000 proteins are identified by proteomic analysis of urinary EVs, while 34 proteins are upregulated and 25 proteins are downregulated in prostate cancer patients relative to healthy donors. Notably, the differentially expressed proteins, such as AGT, ITIH4, and PGLYRP2, are associated with disease progression. Overall, this work highlights the superior performance of the Fe3O4@UiO-66@DSPE material for efficient and selective EV isolation. It provides a powerful tool for clinical liquid biopsy and proteomic biomarker discovery, enabling early diagnosis, prognostic evaluation, and precision therapy.

Humans↗
PubMed2026

Disruption of a six-nucleotide miRNA motif improves PKD1 dosage and ameliorates polycystic kidney disease.

Disrupting microRNA interactions to restore protein expression from haploinsufficient genes offers a promising precision-therapy strategy for monogenic disorders. PKD1 heterozygosity underlies autosomal dominant polycystic kidney disease (ADPKD), a disorder affecting nearly 12 million people worldwide, where reduced PKD1 dosage drives progressive cyst formation and kidney failure. We previously identified a 55-bp cis-repressive element in the PKD1 3'UTR. Here, we define a six-nucleotide miR-17 seed match within this element that is sufficient to reproduce PKD1 repression. In vivo base substitution of this motif stabilizes Pkd1 messenger RNA and increases polycystin-1 (PC1) protein levels, producing a robust reduction in cyst growth and preservation of kidney function in mouse models. To therapeutically recapitulate this effect, we developed a steric-blocking oligonucleotide that occludes the motif, stabilizes&#xa0;PKD1 transcript levels, increases PC1 expression, and mitigates cyst-pathogenic events in both murine and patient-derived ADPKD cells. Together, these findings establish a minimal, targetable cis-regulatory motif and provide proof of concept for oligonucleotide-mediated PKD1 derepression, while offering a potentially generalizable strategy to restore other haploinsufficient genes.

Animals↗
PubMed1981

The predictive value of the serum digoxin concentration in the management of hospitalized patients.

Serum digoxin concentration (SDC) was compared with clinical and ancillary predictors as a guide to adjustment of digoxin dose and as a test for digitalis toxicity in a total of 76 hospitalized patients during a period of 9 months. The mean SDC (3.6 +/- 2.5 nmoles/liter) associated with unexpected discontinuation of therapy was significantly higher (p less than 0.001) than that (1.1 +/- 0.6 nmoles/liter) associated with unaltered digoxin dose, while the mean SDC (0.6 +/- 0.4 nmole/liter) associated with unexpected dose increase was significantly lower (p less than 0.05). There was no significant association between other pharmacokinetic or pharmacodynamic predictors and therapeutic intention. There was a 13% incidence of confirmed digitalis intoxication. The mean SDC (3.6 +/- 1.9 nmoles/liter) of patients presenting and confirmed as digitalis toxic was significantly higher (p less than 0.001) than that (1.4 +/- 0.6 nmoles/liter) involving a situation in which digitalis toxicity could not initially be excluded by other means. The predictive value of an SDC greater than or equal to 2.6 nmoles/liter for toxicity was 80%, and its efficiency for diagnosing both toxicity and nontoxicity was 95%. The SDC was thus shown to be a valid test of digitalis toxicity and to provide extraordinary information enabling the clinician to modulate digoxin therapy precisely.

Cardiovascular Diseases↗
PubMed2003

Roles of positron emission tomography with fluorine-18-deoxyglucose in the detection of local recurrent and distant metastatic sarcoma.

Sarcomas are a heterogeneous group of tumors comprising approximately 1% of all malignancies. Definitive treatment of sarcoma is surgical resection. However, after surgical removal, 40% to 60% of the patients will develop local or distant recurrence. Therefore, the early detection and treatment of recurrence is an important part of modern sarcoma therapy. Positron emission tomography with fluorine-18-deoxyglucose (FDG-PET) has been highly successful in detecting and staging a variety of malignancies. However, its use in the management of patients with sarcoma is less defined. The purpose of our study was to assess the potential roles of FDG-PET in the detection of local recurrence and distant metastases. In this retrospective study, the images of 33 FDG-PET scans, reports of 29 computed tomography (CT) scans, and 8 magnetic resonance imaging (MRI) scans from 28 patients were compared with surgical pathology or clinical follow up for at least 6 months. FDG-PET detected all 25 cases of local and distant recurrences with 100% sensitivity. CT was able to detect 18 of the 22 possible cases of recurrent disease, whereas MRI was able to detect 5 of 7 cases of recurrent disease. PET was particularly useful in patients with extensive histories of surgery and radiation therapy, precisely the setting in which CT and MRI have the lowest specificity and sensitivity. In conclusion, FDG-PET was a sensitive test to detect local and distant recurrences of sarcoma and this warrants further investigation.

Adolescent↗
PubMed1995

Heterogeneity in the inherited long QT syndrome.

Heterogeneity is present in the inherited long QT syndrome and affects the diagnosis of patients. The evidence of genetic heterogeneity is clear, with at least five genetic loci responsible for the syndrome. Phenotypic heterogeneity is less well defined, but differences in QT prolongation, T wave morphology, and the risk and frequency of syncope and sudden death are very likely. Of particular importance, it is likely that there are differences in the molecular pathophysiology of the syndrome, which are dependent on the genetic substrate present. Elucidation of the specific molecular physiology of each of the genetic subtypes of long QT syndrome will not only allow precise diagnosis and, potentially, treatment of patients with the syndrome, but will enhance our understanding of the pathophysiology of arrhythmias in general, which will extend the benefit of more precise therapy to many patients in addition to those with the long QT syndrome.

Death, Sudden↗
PubMed2006

How do heart disease and stroke become risk factors for Alzheimer's disease?

BACKGROUND: Heart disease and stroke are two of the major leading causes of death and disability in the world. Mainly affecting the elderly population, heart disease and stroke are important risk factors for Alzheimer's disease (AD). METHODS: This review examines the evidence linking chronic brain hypoperfusion (CBH) produced by several types of heart disease and stroke on the development of AD. RESULTS: The evidence indicates a strong association between such risk factors as coronary artery bypass surgery (CABG), atrial fibrillation, aortic/mitral valve damage, hypertension, hypotension, congestive heart failure, cerebrovascular-carotid atherosclerosis, and transient ischemic attacks in producing CBH. In people whose cerebral perfusion is already diminished by their advanced age, further cerebral blood flow reductions from heart-brain vascular-related risk factors, seemingly increases the probability of AD. The evidence also suggests that a neuronal energy crisis brought on by a relentless CBH is responsible for protein synthesis defects that later result in the classic AD neurodegenerative lesions such as the formation of excess beta-amyloid plaques and neurofibrillary tangles. CONCLUSIONS: Knowledge of how heart disease and stroke can progress to AD should provide a better understanding of the physiopathology characteristic of AD and also target more precise therapy in preventing, controlling or reversing this dementia.

Alzheimer Disease↗
PubMed2024

Exploring the clinical and biological significance of the cell cycle-related gene CHMP4C in prostate cancer.

BACKGROUND: Prostate cancer (PCa) stands as the second most prevalent malignancy impacting male health, and the disease's evolutionary course presents formidable challenges in the context of patient treatment and prognostic management. Charged multivesicular body protein 4&#xa0;C (CHMP4C) participates in the development of several cancers by regulating cell cycle functions. However, the role of CHMP4C in prostate cancer remains unclear. METHODS: In terms of bioinformatics, multiple PCa datasets were employed to scrutinize the expression of CHMP4C. Survival analysis coupled with a nomogram approach was employed to probe into the prognostic significance of CHMP4C. Gene set enrichment analysis (GSEA) was conducted to interrogate the functional implications of CHMP4C. In terms of cellular experimentation, the verification of RNA and protein expression levels was executed through the utilization of qRT-PCR and Western blotting. Upon the establishment of a cell line featuring stable CHMP4C knockdown, a battery of assays, including Cell Counting Kit-8 (CCK-8), wound healing, Transwell, and flow cytometry, were employed to discern the impact of CHMP4C on the proliferation, migration, invasion, and cell cycle function of PCa cells. RESULTS: The expression of CHMP4C exhibited upregulation in both PCa cells and tissues, and patients demonstrating elevated CHMP4C expression levels experienced a notably inferior prognosis. The nomogram, constructed using CHMP4C along with clinicopathological features, demonstrated a commendable capacity for prognostic prediction. CHMP4C knockdown significantly inhibited the proliferation, migration, and invasion of PCa cells (LNcaP and PC3). CHMP4C could impact the advancement of the PCa cell cycle, and its expression might be regulated by berberine. Divergent CHMP4C expression among PCa patients could induce alterations in immune cell infiltration and gene mutation frequency. CONCLUSIONS: Our findings suggest that CHMP4C might be a prognostic biomarker in PCa, potentially offering novel perspectives for the advancement of precision therapy for PCa.

Humans↗
PubMed1994

Accurate diagnosis of metastatic cardiac leiomyosarcoma with infundibular stenosis and cardiac tamponade by transesophageal echocardiography and Gd-DTPA magnetic resonance imaging--report of a case.

We present a patient with metastatic cardiac leiomyosarcoma that was diagnosed antemortem by transesophageal echocardiography (TEE) and ECG-gated magnetic resonance imaging with gadolinium diethylene triaminepentaacetic acid (Gd-DTPA MRI). TEE and Gd-DTPA MRI clearly revealed the morphological characteristics of infundibular stenosis and cardiac tamponade. Our patient has survived about 30 months after cardiac surgery. Since sarcoma is usually associated with a very poor prognosis, surgical treatment should be performed as soon as possible. TEE with color Doppler imaging and Gd-DTPA MRI are very useful diagnostic methods for determining the precise anatomical characterization of cardiac tumor, and these procedures are prerequisite to precise therapy.

Adult↗
PubMed1982

Thoracic mass lesions in immuno-incompetent patients.

An aggressive surgical approach was used in the diagnosis and treatment of seven immuno-incompetent patients who presented with focal thoracic mass lesions. In five of the seven patients, minor diagnostic procedures had failed to provide a diagnosis. All seven patients were subjected to exploratory thoracotomy with resection and/or drainage of the involved area. Two patients had parenchymal masses, two had lung abscesses, two had empyemas with trapped lung, and one had a bronchial fistula. An accurate diagnosis and full resolution of the intrathoracic process was obtained in all patients. There was little morbidity and no operative mortality in this series. Resection of focal thoracic lesions in immuno-incompetent patients combines accurate diagnosis with precise therapy and is well tolerated in this high risk group of patients.

Adolescent↗
PubMed2005

[Pheochromocytoma].

We present the experience of Hospital das Clínicas, FMUSP, with the clinical, biochemical and topographic diagnosis of pheochromocytoma, as well as the therapeutic approaches. Although new biochemical tests, as plasma metanephrines determination, have greater sensibility in the diagnosis of this tumor, more feasible tests, such as urinary metanephrines and urinary and plasma catecholamines, still have important diagnostic value. Eventual false-negative and false-positive results can be identified with stimulation and suppression tests and drug withdrawal. Magnetic resonance imaging has the greatest sensibility for the topographic diagnosis. In the absence of absolute contraindications, treatment is always surgical, and should be preceded by clinical therapy. Precise diagnosis of this tumor is important to prevent cardiovascular events that imply high morbidity and mortality, as well as to identify other neoplastic syndromes that may be associated.

Adrenal Gland Neoplasms↗
PubMed2026

The AI Revolution: Shaping the Present and Future of Pharmaceutical Research and Development.

The transformative role of artificial intelligence (AI) in the pharmaceutical industry is examined, with a focus on its significant contributions to drug discovery, development, and clinical trial processes. It highlights the inefficiencies and high costs associated with traditional drug development and explores how AI and machine learning (ML) can enhance these processes by analyzing extensive biological datasets. The historical context of AI in pharmaceutical development is examined, noting how advances in computational power and data accessibility have facilitated innovative methodologies, such as predictive analytics and natural language processing. Contemporary trends reveal the integration of AI technologies in drug design, repurposing, and patient response forecasting. This study also addresses the challenges of participant recruitment for clinical trials and proposes AI-driven solutions to optimize patient selection and data management. Furthermore, it discusses AI's role in tailored medicine, emphasizing its potential for advancing precision therapy through targeted drug development and personalized treatment strategies. The importance of digital tools, genomic data analysis, and AI-driven imaging technologies for customizing therapeutic approaches is underscored, along with the regulatory and ethical challenges posed by AI deployment in healthcare. This study illustrates the complexities of AI applications in the pharmaceutical sector, offering insights into both successful and unsuccessful initiatives. The findings suggest that the digitalization of the pharmaceutical industry and enhanced AI integration hold promise for developing safer and more effective therapeutic strategies, while also identifying obstacles to their widespread adoption and optimal functionality.

Artificial intelligence↗
PubMed2026

Gut microbiota-derived metabolites target C5AR1/KDM2A/HCAR3 axis in inflammatory bowel disease: a multi-machine learning algorithms and molecular docking study.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic recurrent disorder. Gut microbiota-derived metabolites regulate intestinal homeostasis, but their molecular mechanisms in IBD remain unclear. Current studies lack systematic "microbiota-metabolite-target" network mining with multi-method validation. This study integrates network pharmacology, three machine learning algorithms, and molecular docking to construct this regulatory network in IBD. METHODS: Transcriptome data were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using limma (p < 0.05, |log2FC| > 0.5). Weighted gene co-expression network analysis (WGCNA) with an optimal soft threshold of &#x3b2; = 7 was performed to identify key module genes. Candidate genes were obtained by intersecting DEGs, gut microbiota-associated genes from the gutMGene database, and WGCNA module genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to explore the functional roles of candidate genes. Core genes were identified using three machine learning algorithms (LASSO, Boruta, and SVM-RFE), followed by protein-protein interaction (PPI) network analysis. Molecular docking was performed to assess the binding affinities between hub proteins and gut microbiota-derived metabolites. RESULTS: A total of 885 DEGs were identified between the IBD and control groups, including 463 upregulated and 422 downregulated genes. WGCNA identified 280 key module genes from the purple and yellow modules. The intersection of DEGs, gut microbiota-associated genes, and WGCNA module genes yielded 19 core candidate genes. PPI network analysis combined with three machine learning algorithms jointly identified C5AR1, KDM2A, and HCAR3 as core hub genes. ROC curve analysis demonstrated that all three hub genes achieved AUC values greater than 0.7 in both the training and validation sets, indicating excellent diagnostic performance for IBD. Enrichment analysis revealed significant associations with the TNF, NF-&#x3ba;B, and IL-17 signaling pathways. Molecular docking confirmed stable binding of C5AR1 with 1,3-Diphenylpropan-2-Ol (-7.87 &#xb1; 0.83 kcal&#xb7;mol-&#xb9;) and HCAR3 with 3-Indolepropionic Acid (-6.35 &#xb1; 0.70 kcal&#xb7;mol-&#xb9;), both below -5.0 kcal&#xb7;mol-&#xb9;. CONCLUSION: This study first constructs a "gut microbiota-metabolite-hub gene" axis in IBD, providing a computational framework for microbiota-targeted precision therapy, and identifying C5AR1/KDM2A/HCAR3 as computationally predicted diagnostic biomarkers and 1,3-Diphenylpropan-2-Ol/3-Indolepropionic Acid as candidate intervention molecules that warrant further experimental validation.

Molecular Docking Simulation↗