cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28890601.v1
title: Multidomain intervention for delaying aging in community-dwelling older adults (MIDA): study design and protocol

description: The exploration of interventions to delay aging is an emerging topic that promotes healthy aging. The multidomain intervention has the potential to be applied in the field of aging because it concentrates on the functional ability of older adults. There is currently no literature reporting on a multidomain intervention involving cognition, exercise and nutrition for delaying aging. The Multidomain Intervention for Delaying Aging in Community-dwelling Older Adults (MIDA) is a Zelen-design randomized controlled trial with a 6-month intervention duration. The multidomain intervention comprises cognitive training, exercise training, and nutritional guidance, delivered through both group sessions and individual family interventions. A total of 248 participants aged 60 to 85 years will be randomized to the intervention group or control group and followed up for 12 months. The primary outcome is the change in epigenetic age acceleration and pace of aging following the multidomain intervention. The secondary outcomes are the changes in frailty score and intrinsic capacity Z-score. Other outcomes include physical functions, body composition, aging biomarkers, inflammatory markers, haematology and biochemistry parameters, and lifestyle factors. This study will explore the effects of the multidomain intervention on delaying aging in community-dwelling older adults. We aim to introduce a new approach to delaying aging and offer a practical multidomain intervention strategy for healthcare institutions.
DOI: 10.6084/m9.figshare.30284803
title: Nuclear magnetic resonance combined with genetic algorithm with linear discriminant analysis (GA-LDA) is a suitable model for discriminating urinary metabolomic profiles of individuals with glycemic disorders

description: Metabolomics is essential in identifying biomarkers involved in the development and progression of diabetes. The study aimed to verify the discrimination among metabolites in the urine of individuals with glycemic alterations using Nuclear Magnetic Resonance (<sup>1</sup>H NMR) and multivariate analysis. The preliminary case-control study was performed with three groups: patients with type 2 diabetes (T2D, <i>n</i> = 16), patients with prediabetes (PD, <i>n</i> = 12), and control group individuals (C, <i>n</i> = 11). We obtained the 24-h urine spectra using <sup>1</sup>H NMR from 39 participants. The data were analyzed using Principal Component Analysis (PCA) and supervised analyses. We identified characteristic signals of various metabolites by comparing the chemical shift data with the literature. Our analysis revealed twenty-one distinct metabolic regions, emphasizing citrate, creatinine, glucose, urea, acetate, and glycine. The most pronounced differences were observed in individuals with T2D compared to groups C and PD. We evaluated a range of algorithms to determine the optimal model. The Genetic Algorithm with Linear Discriminant Analysis (GA-LDA) model exhibited remarkable accuracy, sensitivity, and specificity rates of 100% in discriminating between the studied groups. The <sup>1</sup>H NMR and the GA-LDA model are promising methods for discriminating urine metabolomic profiles in case-control studies involving individuals with PD and T2D.
DOI: 10.6084/m9.figshare.30284803.v1
title: Nuclear magnetic resonance combined with genetic algorithm with linear discriminant analysis (GA-LDA) is a suitable model for discriminating urinary metabolomic profiles of individuals with glycemic disorders

description: Metabolomics is essential in identifying biomarkers involved in the development and progression of diabetes. The study aimed to verify the discrimination among metabolites in the urine of individuals with glycemic alterations using Nuclear Magnetic Resonance (<sup>1</sup>H NMR) and multivariate analysis. The preliminary case-control study was performed with three groups: patients with type 2 diabetes (T2D, <i>n</i> = 16), patients with prediabetes (PD, <i>n</i> = 12), and control group individuals (C, <i>n</i> = 11). We obtained the 24-h urine spectra using <sup>1</sup>H NMR from 39 participants. The data were analyzed using Principal Component Analysis (PCA) and supervised analyses. We identified characteristic signals of various metabolites by comparing the chemical shift data with the literature. Our analysis revealed twenty-one distinct metabolic regions, emphasizing citrate, creatinine, glucose, urea, acetate, and glycine. The most pronounced differences were observed in individuals with T2D compared to groups C and PD. We evaluated a range of algorithms to determine the optimal model. The Genetic Algorithm with Linear Discriminant Analysis (GA-LDA) model exhibited remarkable accuracy, sensitivity, and specificity rates of 100% in discriminating between the studied groups. The <sup>1</sup>H NMR and the GA-LDA model are promising methods for discriminating urine metabolomic profiles in case-control studies involving individuals with PD and T2D.
DOI: 10.6084/m9.figshare.30068117
title: “Weekend warrior” physical activity pattern and risk of incident cancer

description: To investigate the associations between different physical activity patterns, including “weekend warrior” (WW) (i.e. most weekly moderate-vigorous physical activity (MVPA) achieved over 1–2 days)) and regular (MVPA spread more evenly) patterns with the risk of incident cancers. We analyzed a prospective cohort of participants in the UK Biobank study who supplied a complete week of accelerometer-based physical activity data from June 1, 2013, to December 23, 2015. We compared three physical activity patterns: (1) active weekend warrior (active WW, ≥150 min of weekly MVPA with ≥50% of the total achieved in 1–2 days), (2) active regular (≥150 min of MVPA and not following an active WW pattern), and (3) inactive (&lt;150 MVPA minutes). Associations between physical activity patterns and all types of prostate, breast, colorectal, and lung cancers were investigated through Cox regression adjusted for several factors. Overall, 80 896 participants (mean [SD] age, 55.5 [7.8] years; 56%women) with valid measures of accelerometry were included. When fully adjusted, the two active patterns exhibited a similar significant inverse association with lung cancer (WW: hazard ratio [HR], 0.77 [95% CI, 0.61–0.98]; active regular: 0.73 [95% CI, 0.56–0.96;]; inactive: reference), and similar non-significant associations with overall, prostate, breast, and colorectal cancers. MVPA condensed into 1–2 days and more balanced distributions were associated with similar risk reduction of incident lung cancer, while neither pattern was associated with reduced overall, prostate, breast, and colorectal cancers. Future research should focus on totally inactive subjects to examine cancer risk reduction through MVPA.
DOI: 10.6084/m9.figshare.30068117.v1
title: “Weekend warrior” physical activity pattern and risk of incident cancer

description: To investigate the associations between different physical activity patterns, including “weekend warrior” (WW) (i.e. most weekly moderate-vigorous physical activity (MVPA) achieved over 1–2 days)) and regular (MVPA spread more evenly) patterns with the risk of incident cancers. We analyzed a prospective cohort of participants in the UK Biobank study who supplied a complete week of accelerometer-based physical activity data from June 1, 2013, to December 23, 2015. We compared three physical activity patterns: (1) active weekend warrior (active WW, ≥150 min of weekly MVPA with ≥50% of the total achieved in 1–2 days), (2) active regular (≥150 min of MVPA and not following an active WW pattern), and (3) inactive (&lt;150 MVPA minutes). Associations between physical activity patterns and all types of prostate, breast, colorectal, and lung cancers were investigated through Cox regression adjusted for several factors. Overall, 80 896 participants (mean [SD] age, 55.5 [7.8] years; 56%women) with valid measures of accelerometry were included. When fully adjusted, the two active patterns exhibited a similar significant inverse association with lung cancer (WW: hazard ratio [HR], 0.77 [95% CI, 0.61–0.98]; active regular: 0.73 [95% CI, 0.56–0.96;]; inactive: reference), and similar non-significant associations with overall, prostate, breast, and colorectal cancers. MVPA condensed into 1–2 days and more balanced distributions were associated with similar risk reduction of incident lung cancer, while neither pattern was associated with reduced overall, prostate, breast, and colorectal cancers. Future research should focus on totally inactive subjects to examine cancer risk reduction through MVPA.
DOI: 10.6084/m9.figshare.30828004
title: Correlation between CT growth patterns and invasiveness progression in neoplastic subcentimeter sub-solid nodules

description: Size and/or attenuation growth of neoplastic sub-solid nodules (SSNs) potentially indicate progression in invasiveness. This study aims to clarify the correlation between growth patterns based on size and attenuation and the invasiveness progression in subcentimeter neoplastic SSNs. From December 2018 to October 2024, 530 patients with 629 neoplastic SSNs (initial diameter &lt;10 mm) were retrospectively enrolled. Based on CT changes (interval ≥3 months), the lesions were divided into four groups: I, no growth in size or attenuation; II, growth in both size and attenuation; III, growth only in size; and IV, growth only in attenuation. The relationship between growth patterns and pathological results was investigated, and the key CT indicators suggestive of invasiveness progression were determined. Lesions in groups I, II, III, and IV were 424 (67.4%), 76 (12.1%), 84 (13.4%), and 45 (7.1%), respectively. The invasive adenocarcinomas (IACs) and invasive lesions (ILs) were more prevalent in groups II (38.2%, 78.9%) and III (11.9%, 52.4%) compared to group I (3.8%, 34.0%) (all <i>p</i> &lt; 0.05). However, IACs (6.7%) and ILs (44.4%) in group IV were comparable to those in group I (all <i>p</i> &gt; 0.05). The tumor mass was a more effective indicator for predicting the progression to IAC and ILs in group II (area under the curve [AUC] = 0.85, 0.76) and group III (AUC = 0.75, 0.65) (all <i>p</i> &lt; 0.05). Regarding the subcentimeter SSNs, size growth, especially with concurrent attenuation increase, indicate a higher possibility of invasiveness progression, with mass being the primary predictor. Different growth patterns of subcentimeter neoplastic SSNs indicate varying degrees of invasiveness progression.Growth only in attenuation does not indicate significant progression in invasiveness.Size growth, especially with concurrent attenuation increasing, indicate a higher possibility of invasiveness progression.Mass is the primary indicator of invasiveness progression in those with size growth. Different growth patterns of subcentimeter neoplastic SSNs indicate varying degrees of invasiveness progression. Growth only in attenuation does not indicate significant progression in invasiveness. Size growth, especially with concurrent attenuation increasing, indicate a higher possibility of invasiveness progression. Mass is the primary indicator of invasiveness progression in those with size growth.
DOI: 10.6084/m9.figshare.30828004.v1
title: Correlation between CT growth patterns and invasiveness progression in neoplastic subcentimeter sub-solid nodules

description: Size and/or attenuation growth of neoplastic sub-solid nodules (SSNs) potentially indicate progression in invasiveness. This study aims to clarify the correlation between growth patterns based on size and attenuation and the invasiveness progression in subcentimeter neoplastic SSNs. From December 2018 to October 2024, 530 patients with 629 neoplastic SSNs (initial diameter &lt;10 mm) were retrospectively enrolled. Based on CT changes (interval ≥3 months), the lesions were divided into four groups: I, no growth in size or attenuation; II, growth in both size and attenuation; III, growth only in size; and IV, growth only in attenuation. The relationship between growth patterns and pathological results was investigated, and the key CT indicators suggestive of invasiveness progression were determined. Lesions in groups I, II, III, and IV were 424 (67.4%), 76 (12.1%), 84 (13.4%), and 45 (7.1%), respectively. The invasive adenocarcinomas (IACs) and invasive lesions (ILs) were more prevalent in groups II (38.2%, 78.9%) and III (11.9%, 52.4%) compared to group I (3.8%, 34.0%) (all <i>p</i> &lt; 0.05). However, IACs (6.7%) and ILs (44.4%) in group IV were comparable to those in group I (all <i>p</i> &gt; 0.05). The tumor mass was a more effective indicator for predicting the progression to IAC and ILs in group II (area under the curve [AUC] = 0.85, 0.76) and group III (AUC = 0.75, 0.65) (all <i>p</i> &lt; 0.05). Regarding the subcentimeter SSNs, size growth, especially with concurrent attenuation increase, indicate a higher possibility of invasiveness progression, with mass being the primary predictor. Different growth patterns of subcentimeter neoplastic SSNs indicate varying degrees of invasiveness progression.Growth only in attenuation does not indicate significant progression in invasiveness.Size growth, especially with concurrent attenuation increasing, indicate a higher possibility of invasiveness progression.Mass is the primary indicator of invasiveness progression in those with size growth. Different growth patterns of subcentimeter neoplastic SSNs indicate varying degrees of invasiveness progression. Growth only in attenuation does not indicate significant progression in invasiveness. Size growth, especially with concurrent attenuation increasing, indicate a higher possibility of invasiveness progression. Mass is the primary indicator of invasiveness progression in those with size growth.
DOI: 10.6084/m9.figshare.29381696
title: Peripheral immune and inflammatory markers as predictors of neoadjuvant immunotherapy response in head and neck squamous cell carcinoma

description: Head and neck squamous cell carcinoma (HNSCC) is a common and challenging malignancy, with limited response rates to immune checkpoint inhibitors (ICIs). Accurate blood-based biomarkers are needed to predict immunotherapy responses, aiding patient stratification in neoadjuvant settings. Baseline peripheral blood samples were collected from 52 newly diagnosed HNSCC patients undergoing neoadjuvant ICI therapy. Immune cell phenotypes were assessed using flow cytometry across three staining panels: Panel A (CD3, CD4, CD8, PD-1, CD28, HLA-DR), Panel B (CD3, CD4, CD8, KLRG-1, CD57), and Panel C (CD3, CD4, CD8, CD45RA, CCR7, CD28, CD38). Retrospective analysis included routine blood counts, biochemical markers, and cytokine levels. The predictive accuracy of individual and combined biomarkers was evaluated using receiver operating characteristic (ROC) curve analysis. Six immune markers were elevated in non-responder group (non-R group), including PD-1<sup>dim</sup>/CD8<sup>+</sup> T, PD-1ʰ<sup>i</sup>/CD8<sup>+</sup> T, PD-1<sup>+</sup>/CD8<sup>+</sup> T, and CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T as percentage markers, and HLA-DR<sup>+</sup>/CD8<sup>+</sup> T and HLA-DR<sup>+</sup>/CD28<sup>+</sup>PD-1<sup>–</sup>CD8<sup>+</sup> T as mean fluorescence intensity (MFI) markers. Inflammation markers, including WBC, neutrophils (Neut), and CRP, also correlated with response. A combined model of CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T cells and WBC achieved an area under the curve (AUC) of 0.82 (95% CI: 0.69–0.94), outperforming the Combined Positive Score (CPS; AUC = 0.59, 95% CI: 0.43–0.76). These findings suggest that peripheral immune and inflammatory markers, particularly CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T cells and WBC, can predict ICI response, supporting personalized immunotherapy in HNSCC.
DOI: 10.6084/m9.figshare.29381696.v1
title: Peripheral immune and inflammatory markers as predictors of neoadjuvant immunotherapy response in head and neck squamous cell carcinoma

description: Head and neck squamous cell carcinoma (HNSCC) is a common and challenging malignancy, with limited response rates to immune checkpoint inhibitors (ICIs). Accurate blood-based biomarkers are needed to predict immunotherapy responses, aiding patient stratification in neoadjuvant settings. Baseline peripheral blood samples were collected from 52 newly diagnosed HNSCC patients undergoing neoadjuvant ICI therapy. Immune cell phenotypes were assessed using flow cytometry across three staining panels: Panel A (CD3, CD4, CD8, PD-1, CD28, HLA-DR), Panel B (CD3, CD4, CD8, KLRG-1, CD57), and Panel C (CD3, CD4, CD8, CD45RA, CCR7, CD28, CD38). Retrospective analysis included routine blood counts, biochemical markers, and cytokine levels. The predictive accuracy of individual and combined biomarkers was evaluated using receiver operating characteristic (ROC) curve analysis. Six immune markers were elevated in non-responder group (non-R group), including PD-1<sup>dim</sup>/CD8<sup>+</sup> T, PD-1ʰ<sup>i</sup>/CD8<sup>+</sup> T, PD-1<sup>+</sup>/CD8<sup>+</sup> T, and CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T as percentage markers, and HLA-DR<sup>+</sup>/CD8<sup>+</sup> T and HLA-DR<sup>+</sup>/CD28<sup>+</sup>PD-1<sup>–</sup>CD8<sup>+</sup> T as mean fluorescence intensity (MFI) markers. Inflammation markers, including WBC, neutrophils (Neut), and CRP, also correlated with response. A combined model of CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T cells and WBC achieved an area under the curve (AUC) of 0.82 (95% CI: 0.69–0.94), outperforming the Combined Positive Score (CPS; AUC = 0.59, 95% CI: 0.43–0.76). These findings suggest that peripheral immune and inflammatory markers, particularly CD28<sup>–</sup>PD-1<sup>+</sup>/CD8<sup>+</sup> T cells and WBC, can predict ICI response, supporting personalized immunotherapy in HNSCC.
DOI: 10.6084/m9.figshare.30620965
title: Comprehensive clinical analysis of gastric-type endocervical adenocarcinoma: a real-world multicenter study

description: Gastric-type endocervical adenocarcinoma (G-EAC) is a rare malignancy, and its clinicopathological characteristics remain poorly defined. This study aimed to evaluate the real-world features, treatment patterns, and outcomes of patients with G-EAC. Clinical data from 124 patients diagnosed with G-EAC between 2012 and 2024 across four tertiary hospitals in China were retrospectively analyzed. Clinicopathological features, therapeutic approaches, and survival outcomes were assessed. Overall survival (OS) was the primary endpoint. Kaplan–Meier and Cox regression analyses were performed to identify prognostic factors. The median diagnostic age was 55 years (range, 33–82). At presentation, 62.1% of patients had invasion or metastasis, most commonly lymphovascular (47.6%). Surgery was performed in 81.5% of cases, and 84.7% received chemotherapy, primarily platinum-based (81.5%). Radiotherapy was administered to 69.4%. The 1-, 3-, and 5-year OS rates were 78.6%, 54.8%, and 46.1%, respectively. Older age (≥65 years; HR, 4.71; 95% CI, 1.52–14.58; <i>p</i> = 0.0071) and advanced stage (<i>p</i> &lt; 0.05) predicted poorer OS, while surgery (HR, 0.10; 95% CI, 0.02–0.43; <i>p</i> = 0.0019) and multiple chemotherapy cycles (p &lt; 0.05) were independent protective factors. G-EAC exhibits aggressive behavior and unfavorable prognosis, with a 5-year OS of 46.1%. Multimodal treatment, particularly surgery combined with chemotherapy, remains the cornerstone of management and may improve survival. Prospective multicenter studies are warranted to further define optimal therapeutic strategies for this rare entity.
DOI: 10.6084/m9.figshare.30620965.v1
title: Comprehensive clinical analysis of gastric-type endocervical adenocarcinoma: a real-world multicenter study

description: Gastric-type endocervical adenocarcinoma (G-EAC) is a rare malignancy, and its clinicopathological characteristics remain poorly defined. This study aimed to evaluate the real-world features, treatment patterns, and outcomes of patients with G-EAC. Clinical data from 124 patients diagnosed with G-EAC between 2012 and 2024 across four tertiary hospitals in China were retrospectively analyzed. Clinicopathological features, therapeutic approaches, and survival outcomes were assessed. Overall survival (OS) was the primary endpoint. Kaplan–Meier and Cox regression analyses were performed to identify prognostic factors. The median diagnostic age was 55 years (range, 33–82). At presentation, 62.1% of patients had invasion or metastasis, most commonly lymphovascular (47.6%). Surgery was performed in 81.5% of cases, and 84.7% received chemotherapy, primarily platinum-based (81.5%). Radiotherapy was administered to 69.4%. The 1-, 3-, and 5-year OS rates were 78.6%, 54.8%, and 46.1%, respectively. Older age (≥65 years; HR, 4.71; 95% CI, 1.52–14.58; <i>p</i> = 0.0071) and advanced stage (<i>p</i> &lt; 0.05) predicted poorer OS, while surgery (HR, 0.10; 95% CI, 0.02–0.43; <i>p</i> = 0.0019) and multiple chemotherapy cycles (p &lt; 0.05) were independent protective factors. G-EAC exhibits aggressive behavior and unfavorable prognosis, with a 5-year OS of 46.1%. Multimodal treatment, particularly surgery combined with chemotherapy, remains the cornerstone of management and may improve survival. Prospective multicenter studies are warranted to further define optimal therapeutic strategies for this rare entity.
DOI: 10.15468/dl.9g3pdz
title: Occurrence Download

description: A dataset containing 19465 records in GBIF matching the query:
SELECT
 '24' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 21.652003552384027
 AND decimalLongitude &lt;= 27.830582716837263
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 19465 records were derived from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003094-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hse3t
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaria transitaria"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003104-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8spdn
title: Occurrence Download

description: A dataset containing 477307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostomidae"
 ]
}

 The dataset includes 477307 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003066-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.