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Nevin Manimala Statistics

Periodontitis, subclinical myocardial injury, and cardiovascular mortality among US adults: a population-based study

Inflamm Res. 2025 Nov 21;74(1):166. doi: 10.1007/s00011-025-02124-2.

ABSTRACT

BACKGROUND: Periodontitis has been associated with an increased risk of atherosclerotic cardiovascular disease; however, its association with subclinical myocardial injury remains scarce. The purpose of this study was to investigate the association between periodontitis, cardiac biomarkers of subclinical myocardial injury, and cardiovascular mortality in the general U.S.

METHODS: We analyzed data from 9202 participants initially free of cardiovascular disease in the 1999-2004 National Health and Nutrition Examination Survey. The grade of periodontitis was categorized into normal, mild, and moderate-severe. Survey-weighted multiple linear regression model assessed the association between periodontitis and cardiac biomarkers, including high-sensitivity cardiac troponin (hs-cTn) and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Survey-weighted multiple Cox regression model was utilized to estimate the association between periodontitis and cardiovascular disease mortality.

RESULTS: The mean age of participants was 40.65 ± 0.32 years, with 48.44% being men. The individuals with mild and moderate-severe periodontitis had significantly elevated hs-cTn and NT-proBNP, which indicated impaired cardiac structure and function, compared with non-periodontitis individuals. After controlling confounding covariates, moderate-severe periodontitis was significantly correlated with elevated hs-cTnT and NT-proBNP (β coefficients: 0.055, 95% CI 0.004 to 0.106; β coefficients: 0.188, 95% CI 0.077 to 0.300, respectively). Sensitivity analysis and subgroup analysis further verified the robustness of the results. Over a 17.5-year follow-up period, individuals with moderate-to-severe periodontitis exhibited a 44.9% higher risk of cardiovascular mortality compared to those without periodontitis (hazard ratio: 1.449, 95% CI: 1.027 to 2.044).

CONCLUSION: In individuals without established cardiovascular disease, moderate-severe periodontitis was associated with higher concentrations of hs-cTn and NT-proBNP, as well as an increased risk of cardiovascular mortality. These results emphasize the importance of maintaining optimal oral health.

PMID:41266855 | DOI:10.1007/s00011-025-02124-2

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Nevin Manimala Statistics

Mannitol for prevention of cisplatin-induced nephrotoxicity: a systematic review and meta-analysis of randomized controlled trials

Support Care Cancer. 2025 Nov 20;33(12):1102. doi: 10.1007/s00520-025-10171-y.

ABSTRACT

BACKGROUND: Cisplatin causes nephrotoxicity in approximately 30% of patients. Mannitol has been proposed as a nephroprotective agent, yet the clinical evidence remains inconclusive.

METHODS: We systematically searched PubMed, EMBASE, and the Cochrane Library through December 2024 for randomized controlled trials (RCTs) evaluating mannitol versus control interventions for prevention of cisplatin-induced nephrotoxicity. The primary outcome was acute kidney injury (AKI), standardized across CTCAE, AKIN, and RIFLE systems. Given heterogeneous comparators, analyses were stratified by control type without cross-comparator pooling. Odds ratios (ORs) were used for AKI; risk differences (RDs) were used for adverse events. Pooled estimates were generated only when ≥ 5 trials were available per stratum.

RESULTS: Nine RCTs (357 participants) were included. For severe AKI (grade ≥ 2), three small trials (n = 164) were available. Two placebo-controlled studies showed lower AKI risk with mannitol (absolute reductions ~ 15-20%), while one furosemide-controlled study showed no clear difference. These preliminary observations require confirmation in larger trials. For overall AKI (grade ≥ 1; six trials, n = 297), results were inconsistent across studies. Renal function outcomes were heterogeneous: one placebo-controlled trial favored mannitol, one hydration-controlled trial favored control, and a furosemide-controlled trial showed minimal difference. Adverse events were sparsely reported: no consistent differences were seen for electrolyte or hematological toxicities, while several studies suggested modest reductions in nausea/vomiting and a possible increase in diarrhea.

CONCLUSIONS: Based on only three small trials (n = 164), preliminary trends suggest mannitol might reduce severe AKI in cisplatin-treated patients, particularly versus placebo. However, this evidence is insufficient to support clinical implementation. The observed protective trend should be considered hypothesis-generating rather than definitive. Effects on overall AKI, renal function, and toxicities remain inconclusive. Larger, well-designed RCTs with adequate statistical power are urgently needed before mannitol can be recommended for routine nephroprotection in clinical practice.

PMID:41266849 | DOI:10.1007/s00520-025-10171-y

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Nevin Manimala Statistics

Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics data

Commun Chem. 2025 Nov 20;8(1):364. doi: 10.1038/s42004-025-01734-5.

ABSTRACT

The peptide-centric strategy is widely applied in data-independent acquisition (DIA) proteomics to analyze multiplexed MS2 spectra. However, current software tools often rely on single-run data for peptide peak identification, leading to inconsistent quantification across heterogeneous datasets. Match-between-runs (MBR) algorithms address this by aligning peaks or elution profiles post-analysis, but they are often ad hoc and lack statistical frameworks for controlling peak quality, causing false positives and reduced quantitative reproducibility. Here we present DreamDIAlignR, a cross-run peptide-centric tool that integrates peptide elution behavior across runs with a deep learning peak identifier and alignment algorithm for consistent peak picking and FDR-controlled scoring. DreamDIAlignR outperformed state-of-the-art MBR methods, identifying up to 21.2% more quantitatively changing proteins in a benchmark dataset and 36.6% more in a cancer dataset. Additionally, DreamDIAlignR establishes an improved methodology for performing MBR compatible with existing DIA analysis tools, thereby enhancing the overall quality of DIA analysis.

PMID:41266840 | DOI:10.1038/s42004-025-01734-5

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Nevin Manimala Statistics

Source attribution and health risk assessment of potentially toxic elements in the vicinity of coal-fired thermal power plants: an extensive study to comprehend the pollution load on lentic and lotic ecosystems

Environ Geochem Health. 2025 Nov 20;48(1):9. doi: 10.1007/s10653-025-02882-2.

ABSTRACT

Coal-fired thermal power plant operations significantly impact aquatic environments by releasing fly ash leachate, untreated effluents, and airborne pollutants, thereby deteriorating surface water quality. This study assesses the spatial distribution, pollution load, and ecological risk of potentially toxic elements (PTEs) in surface water collected from the surroundings of coal-based thermal power plant (TPP) in Andhra Pradesh, India. Jupudi Reservoir (JR) showed relatively lower pH levels, indicating mildly acidic conditions possibly resulting from ash pond leachate influence, while the other water bodies maintained a more alkaline nature. The mean concentrations of Chromium (406 µg/L) and Arsenic (214 µg/L) were highest at JR and comparatively elevated relative to other water bodies. Furthermore, the total metal load was significantly higher in JR, TPP, and RC across water, sediment, and plant samples, reflecting the significant influence of coal-based thermal power plant activities on these aquatic ecosystems. Geospatial distribution using ArcGIS-IDW interpolation revealed contamination hotspots near coal ash discharge zones, especially at JR and TPP canal sites. Pollution indices highlighted severe pollution and ecological threats at JR and TPP, with ERI values indicating high ecological risk (> 400). Health risk assessments showed that children are particularly at risk, with elevated non-carcinogenic hazard index (HI > 1) and incremental lifetime cancer risk (ILCR > 1 × 10⁻4) through both ingestion and dermal pathways. Among the studied sites, JR and TPP canal exhibited the highest PTE concentrations, whereas RC served as the least contaminated reference site. statistical analyses, including Pearson correlation and Positive Matrix Factorization (PMF), identified coal combustion by-products, atmospheric deposition, and ash leachate as the dominant sources of contamination, with minor contributions from domestic and agricultural runoff. The findings underscore the urgent need for pollution control, regular monitoring, and site-specific remediation strategies to protect both ecological and human health in coal-affected aquatic systems.

PMID:41266830 | DOI:10.1007/s10653-025-02882-2

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Nevin Manimala Statistics

Degrees of uncertainty: conformal deep learning for non-invasive core body temperature prediction in extreme environments

Commun Eng. 2025 Nov 20. doi: 10.1038/s44172-025-00548-6. Online ahead of print.

ABSTRACT

Accurate estimation of core body temperature (CBT) is essential for physiological monitoring, yet current non-invasive methods lack statistically calibrated uncertainty estimates required for safety-critical use. Here we introduce a conformal deep learning framework for real-time, non-invasive CBT prediction with calibrated uncertainty, demonstrated in high-risk heat-stress environments. Developed from over 140,000 physiological measurements across six operational domains, the model achieves a test error of 0.29 °C, outperforming the widely used ECTemp™ algorithm with a 12-fold improvement in calibrated probabilistic accuracy and statistically valid prediction intervals. Designed for integration with wearable devices, the system uses accessible physiological, demographic, and environmental inputs to support practical, confidence-informed monitoring. A customizable alert engine enables proactive safety interventions based on user-defined thresholds and model confidence. By combining deep learning with conformal prediction, this approach establishes a generalizable foundation for trustworthy, non-invasive physiological monitoring, demonstrated here for CBT under heat stress but applicable to broader safety-critical settings.

PMID:41266785 | DOI:10.1038/s44172-025-00548-6

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Nevin Manimala Statistics

Personalized neurometabolic signature predicts seizure outcomes of laser ablation in mesial temporal lobe epilepsy

Commun Med (Lond). 2025 Nov 20;5(1):488. doi: 10.1038/s43856-025-01167-0.

ABSTRACT

BACKGROUND: Mesial temporal lobe epilepsy (mTLE) is a common form of drug-resistant epilepsy and seizure outcomes after minimally invasive laser ablation remain suboptimal. Current imaging-guided strategies often fail to capture individual variability in seizure foci. This study aimed to develop a personalized neuroimaging biomarker to improve surgical planning and predict outcomes.

METHODS: Thirty patients with mTLE (16 women, 53.3%; age range 17-59 years) who underwent magnetic resonance-guided laser interstitial thermal therapy were retrospectively analyzed. The asymmetry index (AI) from [18F]fluorodeoxyglucose positron emission tomography ([18F]FDG PET) defined the personalized NeuroMetabolic Signature (pNMS). Prognostic thresholds and optimal pNMS ablative rate were explored using restricted cubic spline (RCS) analysis and Youden’s index as statistical methods for identifying cutoffs. A generalized additive model (GAM) was applied to examine imaging-derived features associated with pNMS.

RESULTS: Here we show that the AI of PET metabolic values significantly predicted seizure outcomes (odds ratio = 1.43, P = 0.02), with -0.06 as the threshold for defining pNMS (P for non-linearity = 0.04). A hippocampal pNMS ablative rate of 39.79% is significantly associated with seizure freedom (Pearson χ2 = 10.16, P = 0.001; balanced accuracy = 0.83). Hippocampal atrophy contributes most to pNMS expression (Shapley value = -0.026), and correlates with metabolic asymmetry (Pearson’s r = 0.47, P < 0.01).

CONCLUSIONS: The pNMS provides an individualized imaging marker for guiding laser ablation and predicting postoperative seizure outcomes. This approach supports more precise surgical planning and may improve long-term prognosis in patients with mesial temporal lobe epilepsy.

PMID:41266775 | DOI:10.1038/s43856-025-01167-0

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Nevin Manimala Statistics

Accurate predictions of protein mutational effects accelerated with a hybrid-topology free energy protocol

Commun Chem. 2025 Nov 20;8(1):362. doi: 10.1038/s42004-025-01771-0.

ABSTRACT

Quantifying the effects of point mutations is of utmost interest for pharmaceutical and biotechnological applications. Reliable computational methods range from statistical and AI-based to physics-based approaches, with the optimal balance between accurate and fast predictions remaining a challenge. Free energy perturbation (FEP) simulations, a powerful physics-based approach available for decades, constitutes nowadays a method of common application in protein mutational studies. We present QresFEP-2, a novel hybrid-topology FEP protocol benchmarked on a comprehensive protein stability dataset of 10 protein systems, encompassing almost 600 mutations. QresFEP-2 combines excellent accuracy with the highest computational efficiency among available FEP protocols, and its robustness is further validated through comprehensive domain-wide mutagenesis, assessing the thermodynamic stability of over 400 mutations generated by a systematic mutation scan of the 56-residue B1 domain of streptococcal protein G (Gβ1). We also demonstrate the applicability domain of QresFEP-2 on evaluating site-directed mutagenesis effects on protein-ligand binding, tested on a GPCR, as well as on protein-protein interactions examined on the barnase/barstar complex. QresFEP-2 emerges as an open-source, physics-based alternative for advancing protein engineering, drug design, and elucidating the impact of mutations on human health.

PMID:41266769 | DOI:10.1038/s42004-025-01771-0

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Nevin Manimala Statistics

Magnetic susceptibility properties of tumor-associated cells imaged by MRI reveal glioblastoma infiltration in the edema region

Commun Med (Lond). 2025 Nov 20;5(1):487. doi: 10.1038/s43856-025-01177-y.

ABSTRACT

BACKGROUND: Glioblastoma is a malignant primary brain tumor. Because of its highly invasive and infiltrative nature, surgical resection and radiation therapy are not able to remove all tumor cells, even with state-of-the-art imaging and fluorescence-guided surgery.

METHODS: 24 newly diagnosed glioblastoma patients were enrolled. Pre- and post-surgery MRI scans were performed. Magnetic susceptibility was quantified based on gradient echo MRI. The ratio between sub-voxel paramagnetic and diamagnetic susceptibility components was computed. Relationships between the proposed ratio metric and prognostic factors and pathological iron were investigated. Perfusion and permeability imaging were used to exclude the presence of blood-related contribution to the paramagnetic component.

RESULTS: Here we show that by decomposing tissue magnetic susceptibility into paramagnetic and diamagnetic sources, we can identify, non-invasively and in vivo, areas of altered iron metabolism associated with tumor activities in the edema tissue surrounding glioblastoma. We find that the paramagnetic to diamagnetic susceptibility ratio uniquely delineates area of hyperintensity corresponding to a Tumor and Immune cells Infiltration Zone. Statistically significant relationships are found between the ratio metrics in the infiltration zone and tumor prognostic factors. Follow-up scans reveal tumor progression and later contrast-enhancement in the predicted infiltration zone. Histological data indicate that increased iron content causes the elevated ratio metric.

CONCLUSIONS: Our study proposes a method to derive an iron-related imaging marker of abnormal patterns in the edema region of the glioblastoma associated with tumor cell infiltration. We show the potential of the imaging marker to aid and improve surgical and treatment planning.

PMID:41266763 | DOI:10.1038/s43856-025-01177-y

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Nevin Manimala Statistics

Coronary computed tomography angiography in patients with suspected coronary artery disease and discordant findings on exercise stress echocardiography

Int J Cardiovasc Imaging. 2025 Nov 21. doi: 10.1007/s10554-025-03556-x. Online ahead of print.

ABSTRACT

PURPOSE: Exercise stress echocardiography (ExE) includes assessment of regional wall motion and EKG changes and, not uncommonly, discordant results are observed. Though stress induced wall motion abnormalities are widely considered positive for presence of ischemia, EKG-only positive studies are dismissed as equivocal/false positive, in which case, further evaluation is appropriate.

METHODS: Patients who had undergone a clinically indicated ExE and subsequent coronary CT angiogram (CCTA) within one month were identified. They were categorized based on the discordant results of the echocardiographic and electrocardiographic components of the study (EKG+/ECHO-, EKG-/ECHO+). The CCTA results were classified using CAD-RADS 2.0. CT fractional flow assessment was performed for 30-90% stenosis lesions.

RESULTS: 197 patients with discordant ExE results were identified (EKG+/ECHO- n = 159, EKG-/ECHO + n = 38). 35.2% of the EKG+/ECHO- group were classified as CAD-RADS 3 or greater (28.9% left anterior descending, 12.6% left circumflex, and 15.1% right coronary artery moderate/severe stenoses). Of the EKG-/ECHO + patients, 23.7% were classified as CAD RADS 3 or greater (15.8% left anterior descending, 5.3% left circumflex, and 10.5% right coronary artery moderate/severe stenoses). No statistically significant difference was observed between the two groups in the overall degree of coronary artery disease.

CONCLUSIONS: Discordant ExE results with ST segment depressions during exercise without regional wall motion abnormalities (EKG+/ECHO-) and discordant ExE results without ST segment changes with stress-induced regional wall motion abnormalities (EKG-/ECHO+) are both associated with a clinically relevant burden of coronary artery disease, without a statistically significant difference in the degree or severity between the two groups.

PMID:41266719 | DOI:10.1007/s10554-025-03556-x

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Nevin Manimala Statistics

Validation of the Persian version of anterior skull base questionnaire in patients undergoing endoscopic transnasal transsphenoidal surgery

Sci Rep. 2025 Nov 20;15(1):41093. doi: 10.1038/s41598-025-24989-3.

ABSTRACT

Endoscopic skull base surgery has transformed craniofacial treatment by reducing morbidity and enhancing precision. Traditional outcome measures often overlook the multidimensional aspects of quality of life (QoL) in recovery. Patient-reported tools, such as the anterior skull base questionnaire (ASBQ), offer a comprehensive view of QoL. However, the ASBQ’s effectiveness is limited in non-English-speaking populations without cultural adaptation. This study aims to culturally adapt and psychometrically validate the Persian version of the anterior skull base questionnaire (ASBQ-P) for patients undergoing transnasal transsphenoidal surgery. Translation and cross-cultural adaptation adhered to ISPOR guidelines, encompassing forward and backward translation, expert review, and cognitive debriefing. Internal consistency was evaluated through Cronbach’s α, and test-retest reliability was assessed using intraclass correlation coefficients (ICCs). Convergent validity was assessed using Pearson’s correlation with SNOT-22 scores, while responsiveness was evaluated through effect sizes and standardized response means. Statistical analyses were performed using SPSS version 27, with a significance threshold set at P < 0.05. A total of 36 patients completed the Persian version of the ASBQ and SNOT-22 questionnaires. The ASBQ demonstrated excellent internal consistency (Cronbach’s α = 0.936). Test-retest reliability was high, with an ICC of 0.927 for average measures. Convergent validity was supported by a significant moderate negative correlation between ASBQ and SNOT-22 scores (r=-0.544, P = 0.001). A known-groups validity analysis revealed significant differences in ASBQ scores across SNOT-22 severity categories (P = 0.001), supporting the instrument’s discriminative capacity. Our findings confirm the Persian ASBQ as a reliable and valid tool for assessing outcomes in anterior skull base surgery.

PMID:41266717 | DOI:10.1038/s41598-025-24989-3