Isocitrate Dehydrogenase Research Articles

IDH Mutations in Glioma: Molecular, Cellular, Diagnostic, and Clinical Implications

In 2021, the World Health Organization classified isocitrate dehydrogenase (IDH) mutant gliomas as a distinct subgroup of tumors with genetic changes sufficient to enable a complete diagnosis. Patients with an IDH mutant glioma have improved survival which has been further enhanced by the advent of targeted therapies. IDH enzymes contribute to cellular metabolism, and mutations to specific catalytic residues result in the neomorphic production of D-2-hydroxyglutarate (D-2-HG). The accumulation of D-2-HG results in epigenetic alterations, oncogenesis and impacts the tumor microenvironment via immunological modulations. Here, we summarize the molecular, cellular, and clinical implications of IDH mutations in gliomas as well as current diagnostic techniques.

FDA Approval Summary: Olutasidenib for Adult Patients with Relapsed or Refractory Acute Myeloid Leukemia with an Isocitrate Dehydrogenase-1 Mutation.

On December 1st, 2022, the FDA approved the new molecular entity olutasidenib (Rezlidhia: Rigel Pharmaceuticals), a small-molecule inhibitor of isocitrate dehydrogenase-1 (IDH1), for the treatment of adult patients with relapsed or refractory acute myeloid leukemia (R/R AML) with a susceptible IDH1 mutation as detected by an FDA-approved test. The efficacy of olutasidenib was established based on complete remission (CR) + CR with partial hematological recovery (CRh) rate, duration of CR + CRh, and conversion of transfusion dependence (TD) to transfusion independence (TI) in Study 2102-HEM-101. In the pivotal trial, 147 adult patients treated with 150mg twice daily (BID) of olutasidenib were evaluable for efficacy. With a median follow-up of 10.2 months, the CR/CRh rate was 35% (95% CI: 27-43%), with a median duration of response of 25.9 months (95% CI: 13.5 months, not reached [NR]). Of the 86 patients that were TD at baseline, 29 became TI (34%). The most common (≥20%) adverse reactions were nausea, fatigue, arthralgia, leukocytosis, dyspnea, pyrexia, rash, mucositis, diarrhea, and transaminitis. An assessment of long-term safety of olutasidenib is a condition of this approval.

Metabolic Risk Factors and Survival in Patients with Glioblastoma

Background: Metabolic syndrome increases the risk of developing various systemic cancers. The prevalence of metabolic syndrome in newly diagnosed glioblastoma patients is unknown. Further, there have been contradictory reports about how metabolic syndrome affects clinical outcomes. Therefore, the purpose of this study is to test the hypothesis that metabolic syndrome is associated with an increased prevalence of glioblastoma and worsened survival outcomes. Methods: This retrospective cohort study examines seventy-three patients with isocitrate dehydrogenase (IDH)-wild-type glioblastoma as it provides a relatively homogeneous population to examine. Patient characteristics, vital signs, lab results, tumor molecular markers, and overall survival were analyzed. Patients with metabolic syndrome and individual risk factors were identified, and survival outcomes were examined. Results: Our results demonstrate that there is a higher prevalence of metabolic syndrome in our cohort of patients with glioblastoma than in the general population (41% vs. 33%), though this effect is confounded by older age. We also demonstrate that after correction for confounding variables, metabolic syndrome is not significantly associated with overall survival (p = 0.1). When analyzing individual metabolic risk factors, we demonstrate that there is a significant association between the accumulation of metabolic risk factors and decreased survival (p = 0.03), and hyperglycemia emerges as a significant independent risk factor for decreased survival (p = 0.05). Conclusions: These results suggest that metabolic risk factors can affect survival in patients with glioblastoma, which can have significant implications for clinical practice. These findings need to be further explored through further clinical and mechanistic studies.

The Key Enzymes of Carbon Metabolism and the Glutathione Antioxidant System Protect Yarrowia lipolytica Yeast Against pH-Induced Stress

In this study, we first thoroughly assayed the response of the key enzymes of energy metabolism and the antioxidant system in Yarrowia lipolytica yeast at extreme pH. The activity of the tricarboxylic acid cycle enzymes, namely NAD-dependent isocitrate dehydrogenase, aconitate hydratase, NAD-dependent malate dehydrogenase, and fumarate hydratase, NADPH-producing enzymes of glucose-6-P dehydrogenase and NADP-dependent isocitrate dehydrogenase, and the enzymes of the glutathione system was assessed. All the enzymes that were tested showed a significant induction contrary to some decrease in the aconitate hydratase activity with acidic and alkaline stress. It is probable that a change in the enzyme activity in the mitochondria matrix is involved in the regulation of the cellular metabolism of Y. lipolytica, which allows the species to prosper at an extreme ambient pH. It distinguishes it from any other type of ascomycete. A close relationship between the induction of the Krebs cycle enzymes and the key enzymes of the glutathione system accompanied by an increased level of reduced glutathione was shown. The assumption that the increased activity of the Krebs cycle dehydrogenases and promotion of the pentose phosphate pathway at pH stress launches a set of events determining the adaptive response of Y. lipolytica yeast.

Loss of IDH1 and IDH2 in macrophages induces pathological phenotypes in cardiomyocytes

Abstract Introduction The clonal expansion of hematopoietic stem cells can be induced by a variety of age-related somatic mutations, a phenomenon known as "clonal hematopoiesis of indeterminate potential" (CHIP). CHIP is associated with an increased incidence and poor outcomes in patients with cardiovascular disease. The mechanisms underlying the crosstalk between CHIP cells and cardiac tissue are yet to be elucidated. Rare mutations in the metabolism-regulating isocitrate dehydrogenases encoding genes IDH1 and IDH2 have been identified as AML-like and cardiovascular high-risk CHIP-driving mutations in patient cohorts. However, the potential paracrine effects of these mutations in immune cells on cardiac tissue are unknown. Therefore, we assessed the impact of IDH1 and IDH2 mutations on the paracrine activities of macrophages. Methods and Results To gain first insights into the functional consequences of the IDH mutations, we used the AlphaMissense algorithm, which predicts the impact of mutations on protein function. IDH1 and IDH2 mutations identified in our patient cohorts were predicted to induce pathological alterations of protein function with a score >0.99. Therefore, we assessed the effects of silencing of the two genes in primary human CD14+ M0 macrophages on the paracrine activity on neonatal rat cardiomyocytes. Transfection with siRNA pools targeting IDH1 and IDH2 to mimic CHIP-driving conditions reduced mRNA abundance by 78% and 73%, respectively (both p<0.05). To assess the impact of IDH-silencing on cardiovascular cells, cardiomyocytes were treated with the supernatant of the macrophages. Interestingly, supernatants of IDH1 silenced macrophages significantly increased apoptosis of cardiomyocytes (8.6-fold increased expression of cleaved caspase-3; p<0.05) and reduced beating frequency. In addition, supernatants of IDH1 silenced macrophages induced a 1.5-fold increase in cardiomyocyte hypertrophy (p<0.01), whereas silencing of IDH2 showed no effect on cardiomyocyte hypertrophy and apoptosis. However, supernatants of both IDH1 and IDH2 silenced macrophages resulted in significantly increased numbers of bi- and multinucleated cardiomyocytes. Conclusion: Loss of isocitrate dehydrogenases in human macrophages affects cardiomyocyte functions in a paracrine fashion. Particularly silencing of IDH1 in macrophages introduced cardiomyocyte hypertrophy, apoptosis, and bi- and multinucleation, and reduced contractile function. Ongoing studies will address how IDH1 and IDH2 silencing-induced alterations in macrophages control their paracrine activity on cardiomyocytes.

Dual phenotypes in recurrent astrocytoma, IDH-mutant; coexistence of IDH-mutant and IDH-wildtype components: a case report with genetic and epigenetic analysis

Mutations in the isocitrate dehydrogenase (IDH) gene are recognized as the key drivers in the oncogenesis of astrocytoma and oligodendroglioma. However, the significance of IDH mutation in tumor maintenance and malignant transformation has not been elucidated. We encountered a unique case of IDH-mutant astrocytoma that, upon malignant transformation, presented two distinct intratumoral components: one IDH-wildtype and one IDH-mutant. The IDH-wild-type component exhibited histological findings similar to those of small cell-type glioblastoma with a higher Ki-67 index than the IDH-mutant component. Despite their genetic divergence, both components exhibited similar comprehensive methylation profiles within the CpG island and were classified into methylation class of “Astrocytoma, IDH-mutant; High Grade” by the German Cancer Center (DKFZ) classifier v11.4. Phylogenetic analysis demonstrated that the IDH-wildtype component emerged as a subclonal component of the primary tumor. Detailed molecular analyses revealed that the loss of the IDH mutation was induced by the hemizygous loss of the entire arm of chromosome 2, on which IDH1 gene is located. Notably, the IDH-wild-type subclones uniquely acquired CDKN2A/B homozygous deletion and PDGFRA amplification, which is a marker of the aggressive phenotype of astrocytoma, IDH-mutant. Because these genetic abnormalities can drive oncogenic pathways, such as the PI3K/AKT/mTOR and RB signaling pathway, IDH-mutant gliomas that acquired these mutations were no longer dependent on the initial driver mutation, the IDH mutation. Molecular analysis of this unique case provides insight that in a subset of astrocytoma, IDH-mutant that acquired these genetic abnormalities, IDH mutation may not play a pivotal role in tumor growth and acquisition of these genetic abnormalities may contribute to the acquisition of resistance to IDH inhibitors.

Clonal hematopoiesis in cardiovascular aging: Insights from the verona heart study.

Clonal hematopoiesis of indeterminate potential (CHIP), marked by the accumulation of somatic mutations in hematopoietic stem cells, significantly elevates the risk of all-cause mortality, mainly due to cardiovascular events. Therefore, investigating this pathophysiological phenomenon is crucial for understanding cardiovascular aging and enhancing both health span and lifespan. In the present study, we examined samples of subjects enrolled within the angiographically controlled Verona Heart Study (VHS), which provides a robust model for cardiovascular aging, particularly regarding coronary artery disease (CAD). We analyzed 44 older subjects diagnosed with coronary artery disease (CAD) and 42 healthy, sex- and age-matched controls (CAD-FREE). Employing deep sequencing and an amplicon-based approach, we focused on 11 key genetic regions in ASXL1, DNMT3A, IDH1, IDH2, JAK2, PPM1D, SF3B1, SRSF2, TET2, TP53, and U2AF1 genes to investigate clonal hematopoiesis. Subjects in the CAD group exhibited a significantly higher variant burden than those in the CAD-FREE group, both in terms of the total number of somatic variants and disruptive variants affecting protein function. This increased mutational load was notably influenced by six specific genetic regions: ASXL1, DNMT3A, IDH2, JAK2, TET2, and U2AF1, which displayed elevated variant rates in the CAD subjects. Moreover, ASXL1, DNMT3A, IDH2, JAK2, SF3B1, TET2, and TP53 exhibited substantially higher levels of disruptive variants in the CAD group. In summary, our findings highlight a correlation between clonal hematopoiesis and the accumulation of disruptive variants in specific genomic regions in the VHS cohort, thereby shedding light on their potential role in cardiovascular aging.

Prospective Longitudinal Analysis of Physiologic MRI-based Tumor Habitat Predicts Short-term Patient Outcomes in IDH-wildtype Glioblastoma.

This study validates MRI-based tumor habitats in predicting time-to-progression (TTP), overall survival (OS), and progression site in isocitrate dehydrogenase (IDH)-wildtype glioblastoma patients. Seventy-nine patients were prospectively enrolled between January 2020 and June 2022. MRI, including diffusion-weighted and dynamic susceptibility contrast imaging, were obtained immediately post-operation and at three serial timepoints. Voxels from cerebral blood volume and apparent diffusion coefficient maps were grouped into three habitats (hypervascular cellular, hypovascular cellular, and nonviable tissue) using k-means clustering. Pre-defined cutoffs for increases in hypervascular and hypovascular cellular habitat were applied to calculate the habitat risk score. Associations between spatiotemporal habitats, habitat risk score, TTP, and OS were investigated using Cox proportional hazards modeling. Habitat risk score was compared to tumor volume using time-dependent receiver operating characteristics analysis. Progression sites were matched with spatial habitats. Increases in hypervascular and hypovascular cellular habitats and habitat risk scores were associated with shorter TTP and OS (all p < .05). Hypovascular cellular habitat and habitat risk scores 1 and 2 independently predicted TTP (hazard ratio [HR], 4.14; p=.03, HR, 4.51; p=.001 and HR, 10.02; p<.001, respectively). Hypovascular cellular habitat and habitat risk score 2 independently predicted OS (HR, 4.01, p=.003; and HR, 3.27, p<.001, respectively). Habitat risk score outperformed tumor volume in predicting TTP (12-month AUC, 0.762 vs. 0.646, p=.048). Hypovascular cellular habitat predicted progression sites (mean Dice index: 0.31). Multiparametric physiologic MRI-based spatiotemporal tumor habitats and habitat risk scores are useful biomarkers for early tumor progression and outcomes in IDH-wildtype glioblastoma patients.

Distributed parameter model of dynamic contrast-enhanced MRI in the identification of IDH mutation, 1p19q codeletion, and tumor cell proliferation in glioma patients

ObjectivesTo investigate the clinical value of hemodynamic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) in predicting glioma genotypes including isocitrate dehydrogenase (IDH) mutation, 1p/19q codeletion status and the tumor proliferation index (Ki-67) noninvasively. And to compare the diagnostic performance of parameters of distributed parameter (DP)model and extended Tofts (Ex-Tofts) model.Materials and methodsDynamic contrast-enhanced MRI (DCE-MRI) data of patients with glioma were prospectively enrolled from April 2021 to May 2023. The imaging data were analyzed using DP and Ex-Tofts model for evaluating the perfusion and permeability characteristics of glioma. Comparisons were performed according to IDH genotype in all glioma patients and 1p/19q codeletion in IDH mutation glioma patients. Receiver operating characteristic (ROC) curves were generated for DCE-MRI parameters. The Spearman rank correlation coefficients were calculated between DCE MRI parameters and Ki-67 index.ResultsIn IDH-mutation gliomas, a higher blood flow (F) was found in 1p/19q codeletion gliomas than in 1p/19q intact gliomas. No parameter derived from Ex-Tofts model showed significant differences in predicting 1p/19q status. Fractional volume of interstitial space (Ve) derived from both the DP and Ex-Tofts models exhibited optimal performance in predicting IDH genotype (AUC = 0.818, 0.828, respectively). Ve also showed the highest correlations with Ki-67 LI within their respective models in all gliomas (ρ = 0.62, 0.61), indicating comparable moderate positive associations. Ki-67ConclusionDP model showed a clear advantage in predicting 1p/19q status compared to Ex-Tofts model. The DP and Ex-Tofts models performed similarly in predicting IDH mutation and Ki-67 index.

Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma.

Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grades of glioma to obtain deeper insights theabout metabolic status of glioma that may serve as good candidates of diagnosis in future. In the present study, the metabolomic profiling along with clinical and expressional analyses of glioma biopsies (n = 52; patients comprising both of benign and malignant lesions) was analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR and western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.

Spatial transcriptomics analysis identifies therapeutic targets in diffuse high-grade gliomas

IntroductionDiffuse high-grade gliomas are the most common malignant adult neuroepithelial tumors in humans and a leading cause of cancer-related death worldwide. The advancement of high throughput transcriptome sequencing technology enables rapid and comprehensive acquisition of transcriptome data from target cells or tissues. This technology aids researchers in understanding and identifying critical therapeutic targets for the prognosis and treatment of diffuse high-grade glioma.MethodsSpatial transcriptomics was conducted on two cases of isocitrate dehydrogenase (IDH) wild-type diffuse high-grade glioma (Glio-IDH-wt) and two cases of IDH-mutant diffuse high-grade glioma (Glio-IDH-mut). Gene set enrichment analysis and clustering analysis were employed to pinpoint differentially expressed genes (DEGs) involved in the progression of diffuse high-grade gliomas. The spatial distribution of DEGs in the spatially defined regions of human glioma tissues was overlaid in the t-distributed stochastic neighbor embedding (t-SNE) plots.ResultsWe identified a total of 10,693 DEGs, with 5,677 upregulated and 5,016 downregulated, in spatially defined regions of diffuse high-grade gliomas. Specifically, SPP1, IGFBP2, CALD1, and TMSB4X exhibited high expression in carcinoma regions of both Glio-IDH-wt and Glio-IDH-mut, and 3 upregulated DEGs (SMOC1, APOE, and HIPK2) and 4 upregulated DEGs (PPP1CB, UBA52, S100A6, and CTSB) were only identified in tumor regions of Glio-IDH-wt and Glio-IDH-mut, respectively. Moreover, Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses revealed that upregulated DEGs were closely related to PI3K/Akt signaling pathway, virus infection, and cytokine-cytokine receptor interaction. Importantly, the expression of these DEGs was validated using GEPIA databases. Furthermore, the study identified spatial expression patterns of key regulatory genes, including those involved in protein post-translational modification and RNA binding protein-encoding genes, with spatially defined regions of diffuse high-grade glioma.DiscussionSpatial transcriptome analysis is one of the breakthroughs in the field of medical biotechnology as this can map the analytes such as RNA information in their physical location in tissue sections. Our findings illuminate previously unexplored spatial expression profiles of key biomarkers in diffuse high-grade glioma, offering novel insight for the development of therapeutic strategies in glioma.

De novo design of mIDH1 inhibitors by integrating deep learning and molecular modeling

BackgroundMutations in the IDH1 gene have been shown to be an important driver in the development of acute myeloid leukemia, gliomas and certain solid tumors, which is a promising target for cancer therapy.MethodsBidirectional recurrent neural network (BRNN) and scaffold hopping methods were used to generate new compounds, which were evaluated by principal components analysis, quantitative estimate of drug-likeness, synthetic accessibility analysis and molecular docking. ADME prediction, molecular docking and molecular dynamics simulations were used to screen candidate compounds and assess their binding affinity and binding stability with mutant IDH1 (mIDH1).ResultsBRNN and scaffold hopping methods generated 3890 and 3680 new compounds, respectively. The molecules generated by the BRNN performed better in terms of molecular diversity, druggability, synthetic accessibility and docking score. From the 3890 compounds generated by the BRNN model, 10 structurally diverse drug candidates with great docking score were preserved. Molecular dynamics simulations showed that the RMSD of the four systems, M1, M2, M3 and M6, remained stable, with local flexibility and compactness similar to the positive drug. The binding free energy results indicated that compound M1 exhibited the best binding properties in all energy aspects and was the best candidate molecule among the 10 compounds.ConclusionIn present study, compounds M1, M2, M3 and M6 generated by BRNN exhibited optimal binding properties. This study is the first attempt to use deep learning to design mIDH1 inhibitors, which provides theoretical guidance for the design of mIDH1 inhibitors.

Neurosurgical application of olaparib from a thermo-responsive paste potentiates DNA damage to prolong survival in malignant glioma.

There is increased pan-cancer specific interest in repurposing the poly adenosine diphosphate-ribose polymerase-1 (PARP-1) inhibitor, olaparib, for newly diagnosed or recurrent isocitrate dehydrogenase wild type glioblastoma. We explore whether intra-cavity delivery of olaparib confers a survival benefit in a pre-clinical high-grade glioma model. Primary tumor RNA sequencing data was used to determine PARP-1 as a target in the glioblastoma infiltrative margin. We assessed radiosensitization conferred by olaparib alone and concomitant to genotoxic insults in vitro using clonal growth assays, cell cycle analysis and immunocytochemistry, and in vivo upon post-surgical delivery from a temperature-sensitive polymeric paste. RNA-sequencing confirmed PARP-1 as a viable therapy target in glioblastoma infiltrative disease. Acute exposure of glioma cells to olaparib impaired proliferation and induced late-stage apoptosis associated with DNA damage in vitro, potentiated by radiation. Using high-grade glioma orthotopic allografts, a long-term overall survival benefit was observed upon interstitial olaparib delivery concomitant with radiotherapy, compared to systemic olaparib and standard glioblastoma treatment. Combined delivery of olaparib with either temozolomide or etoposide increased long-term survival, suggestive of olaparib functioning as DNA damage sensitizer. Collectively, our data support a rationale for localized olaparib delivery concomitant with the current clinical regimen for malignant glioma treatment.

A multi-center, clinical analysis of IDH-mutant gliomas, WHO Grade 4: implications for prognosis and clinical trial design.

Mutations in the Isocitrate Dehydrogenase (IDH) genes, IDH1 or IDH2, define a group of adult diffuse gliomas associated with a younger age at diagnosis and better prognosis than IDH wild-type glioblastoma. Within IDH mutant gliomas, a small fraction of astrocytic tumors present with grade 4 histologic features and poor prognosis. In molecular studies, homozygous deletion of CDKN2A/B is independently predictive of poor prognosis and short survival. As a consequence, 2021 WHO classification now also recognizes this molecular feature, CDKN2A/B deletion, as sufficient for classifying an astrocytoma as IDH-mutant, WHO Grade 4, regardless of histological grading. Here, we investigate outcomes of patients with WHO Grade 4 IDH-mutant astrocytoma both with and without CDKN2A/B deletion, to compare these groups and evaluate clinical and radiographic factors that contribute to survival. We retrospectively identified 79 patients with IDH-mutant astrocytoma with CDKN2A/B deletion detected at initial diagnosis across five international institutions as well as a comparison group of 51 patients with IDH-mutant, astrocytoma, histologically Grade 4 without detectable CDKN2A/B deletion. We assembled clinical and radiographic features for all patients. We find that CDKN2A/B deletion was associated with significantly worse overall survival (OS; p = 0.0004) and progression-free survival (PFS; p = 0.0026), with median OS of 5.0 years and PFS of 3.0 years, compared to 10.1 and 5.0 years for tumors with a grade 4 designation based only on histologic criteria. Multivariate analysis confirmed CDKN2A/B deletion as a strong negative prognosticator for both OS (HR = 3.51, p < 0.0001) and PFS (HR = 2.35, p = 0.00095). In addition, in tumors with CDKN2A/B deletion, preoperative contrast enhancement is a significant predictor of worse OS (HR 2.19, 95% CI 1.22-3.93, p = 0.0090) and PFS (HR = 1.74, 95% CI = 1.02-2.97, p = 0.0420). These findings underscore the severe prognostic impact of CDKN2A/B deletion in IDH-mutant astrocytomas and highlight the need for further refinement of tumor prognostic categorization. Our results provide a key benchmark of baseline patient outcomes for therapeutic trials, underscoring the importance of CDKN2A/B status assessment, in addition to histologic grading, in clinical trial design and therapeutic decision-making for IDH-mutant astrocytoma patients.

Correction to “O-GlcNAcylation Facilitates the Interaction between Keratin 18 and Isocitrate Dehydrogenases and Potentially Influencing Cholangiocarcinoma Progression”

Correction to “<i>O</i>-GlcNAcylation Facilitates the Interaction between Keratin 18 and Isocitrate Dehydrogenases and Potentially Influencing Cholangiocarcinoma Progression”

Preoperative prediction of diffuse glioma type and grade in adults: a gadolinium-free MRI-based decision tree.

To develop a gadolinium-free MRI-based diagnosis prediction decision tree (DPDT) for adult-type diffuse gliomas and to assess the added value of gadolinium-based contrast agent (GBCA)enhanced images. This study included preoperative grade 2-4 adult-type diffuse gliomas (World Health Organization 2021) scanned between 2010 and 2021. The DPDT, incorporating eleven GBCA-free MRI features, was developed using 18% of the dataset based on consensus readings. Diagnosis predictions involved grade (grade 2 vs. grade 3/4) and molecular status (isocitrate dehydrogenase (IDH) and 1p/19q). GBCA-free diagnosis was predicted using DPDT, while GBCA-enhanced diagnosis included post-contrast images. The accuracy of these predictions was assessed by three raters with varying experience levels in neuroradiology using the test dataset. Agreement analyses were applied to evaluate the prediction performance/reproducibility. The test dataset included 303 patients (age (SD): 56.7 (14.2) years, female/male: 114/189, low-grade/high-grade: 54/249, IDH-mutant/wildtype: 82/221, 1p/19q-codeleted/intact: 34/269). Per-rater GBCA-free predictions achieved ≥ 0.85 (95%-CI: 0.80-0.88) accuracy for grade and ≥ 0.75 (95%-CI: 0.70-0.80) for molecular status, while GBCA-enhanced predictions reached ≥ 0.87 (95%-CI: 0.82-0.90) and ≥ 0.77 (95%-CI: 0.71-0.81), respectively. No accuracy difference was observed between GBCA-free and GBCA-enhanced predictions. Group inter-rater agreement was moderate for GBCA-free (0.56 (95%-CI: 0.46-0.66)) and substantial for GBCA-enhanced grade prediction (0.68 (95%-CI: 0.58-0.78), p = 0.008), while substantial for both GBCA-free (0.75 (95%-CI: 0.69-0.80) and GBCA-enhanced (0.77 (95%-CI: 0.71-0.82), p = 0.51) molecular status predictions. The proposed GBCA-free diagnosis prediction decision tree performed well, with GBCA-enhanced images adding little to the preoperative diagnostic accuracy of adult-type diffuse gliomas. Question Given health and environmental concerns, is there a gadolinium-free imaging protocol to preoperatively evaluate gliomas comparable to the gadolinium-enhanced standard practice? Findings The proposed gadolinium-free diagnosis prediction decision tree for adult-type diffuse gliomas performed well, and gadolinium-enhanced MRI demonstrated only limited improvement in diagnostic accuracy. Clinical relevance Even inexperienced raters effectively classified adult-type diffuse gliomas using the gadolinium-free diagnosis prediction decision tree, which, until further validation, can be used alongside gadolinium-enhanced images to respect standard practice, despite this study showing that gadolinium-enhanced images hardly improved diagnostic accuracy.

Molecular insights and functional analysis of isocitrate dehydrogenase in two gram-negative pathogenic bacteria.

Klebsiella pneumoniae and Legionella pneumophila are common Gram-negative bacteria that can cause lung infections. The multidrug resistance of K. pneumoniae presents a significant challenge for treatment. This study focuses on isocitrate dehydrogenase (IDH), a key enzyme in the oxidative metabolic pathway of these two bacteria. KpIDH and LpIDH were successfully overexpressed and purified, and their biochemical characteristics were thoroughly investigated. The study revealed that KpIDH and LpIDH are homodimeric enzymes with molecular weights of approximately 70kDa. They are completely dependent on the coenzyme NADP+ and are inactive towards NAD+. KpIDH exhibits the highest catalytic activity at pH 8.0 in the presence of Mn2+ and at pH 7.8 in the presence of Mg2+. Its optimal catalytic performance is achieved with both ions at 55°C. LpIDH exhibited its highest activity at pH 7.8 in the presence of Mn2+ and Mg2+, respectively, and exhibits optimal catalytic performance at 45°C. Heat inactivation studies showed that KpIDH and LpIDH retained over 80% of their activity after being exposed to 45°C for 20min. Furthermore, we successfully altered the coenzyme specificity of KpIDH and LpIDH from NADP+ to NAD+ by replacing four key amino acid residues. This study provides a comprehensive biochemical characterization of two multidrug-resistant bacterial IDHs commonly found in hospital environments. It enhances our understanding of the characteristics of pathogenic bacteria and serves as a reference for developing new therapeutic strategies.

Symptom management in isocitrate dehydrogenase mutant glioma

Abstract According to the 2021 World Health Organization classification of CNS tumors, gliomas harboring a mutation in isocitrate dehydrogenase (mIDH) are considered a distinct disease entity, typically presenting in adult patients before the age of 50 years. Given their multiyear survival, patients with mIDH glioma are affected by tumor and treatment-related symptoms that can have a large impact on the daily life of both patients and their caregivers for an extended period of time. Selective oral inhibitors of mIDH enzymes have recently joined existing anticancer treatments, including resection, radiotherapy, and chemotherapy, as an additional targeted treatment modality. With new treatments that improve progression-free and possibly overall survival, preventing and addressing daily symptoms becomes even more clinically relevant. In this review we discuss the management of the most prevalent symptoms, including tumor-related epilepsy, cognitive dysfunction, mood disorders, and fatigue, in patients with mIDH glioma, and issues regarding patient’s health-related quality of life and caregiver needs in the era of mIDH inhibitors. We provide recommendations for practicing healthcare professionals caring for patients who are eligible for treatment with mIDH inhibitors.

Turmeric as a therapeutic agent against arsenic-induced metabolic dysregulation in rat models

Ethnopharmacological relevanceHealth hazards stemming from metalloid consumption, such as arsenic, pose a global concern. This study aimed to assess the protective effects of turmeric against arsenic-induced alterations in lipid profiles and energy metabolism in rats. MethodsThirty male rats were divided into three groups over a 90–180-day exposure period: Group 1 (Control) received standard rat chow; Group 2 received an arsenic diet; and Group 3 received arsenic plus turmeric supplemented diet. Blood and liver tissue samples were collected for lipid profiles, glucose levels, energy metabolism parameters, and PPAR-α mRNA expression using qRT-PCR. Statistical analysis was performed (p<0.05). ResultsResults indicated significant (p<0.05) increases in lipid profiles among arsenic-exposed rats after 180 days, elevating the risk of coronary artery diseases. Both arsenic and turmeric-exposed groups showed heightened total cholesterol (TC), triglycerides (TG), and low-density lipoprotein (LDL) levels at 90 and 180 days, with nuanced differences suggesting dyslipidemia and atherosclerosis. Blood glucose observations revealed hypoglycemia initially in arsenic-exposed rats, progressing to hyperglycemia by 180 days. Arsenic significantly (p<0.05) inhibited pyruvate kinase, hexokinase, and isocitrate dehydrogenase activities in the liver after 180 days, while turmeric exposure showed no significant (p<0.05) changes. Additionally, both arsenic and turmeric groups exhibited downregulation of PPAR-α expression at 180 days. In-silico analysis identified curcumin as a promising component for anti-atherosclerosis and arsenic-related conditions due to its strong binding affinities and multiple hydrogen bond formations. ConclusionIn conclusion, long-term turmeric consumption may mitigate arsenic-induced oxidative damage associated with early hyperglycemia, diabetes mellitus, cardiovascular diseases, and atherosclerosis. These findings underscore turmeric’s potential therapeutic role against arsenic toxicity, suggesting avenues for future research and public health interventions.

Looking Beyond the Surface: Olutasidenib and Ivosidenib for Treatment of mIDH1 Acute Myeloid Leukemia.

Mutations in isocitrate dehydrogenase-1 (IDH1) are recurrent in several malignancies and prevalent in acute myeloid leukemia (AML). Olutasidenib and ivosidenib are inhibitors that target mutant IDH1 (mIDH1) and are FDA approved for the treatment of patients with mIDH1 AML. Olutasidenib and ivosidenib were identified through unique molecular screens and thus are structurally very different molecules. A difference in clinical outcomes has been observed with olutasidenib, which has a longer duration of response than ivosidenib, despite similar rates of response being achieved with the two drugs, such as complete remission (CR) or CR with partial hematologic recovery (CR/CRh). In the absence of a head-to-head trial, this review examines both the extent of differences in clinical outcomes with the two drugs and provides the first comparison of the unique molecular and mechanistic features of each drug, such as molecular structure and binding kinetics, that may contribute to the observed clinical difference in outcomes. Olutasidenib is structurally smaller with a lower molecular weight than ivosidenib (FW 355 vs FW 583) and thus occupies less space in the binding pocket of IDH1 dimers, making it resistant to displacement by IDH1 second-site mutations. In biochemical studies, olutasidenib selectively inhibits mutant but not wild-type IDH1, whereas ivosidenib appears to potently block both mutant and wild-type IDH1. Although they have the same target, olutasidenib and ivosidenib have unique molecular features, which may translate to selectivity differences in their inhibitory activity against IDH1.