cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28244223.v1
title: Utilizing Raman spectroscopy for urinalysis to diagnose acute kidney injury stages in cardiac surgery patients

description: The successful treatment and improvement of acute kidney injury (AKI) depend on early-stage diagnosis. However, no study has differentiated between the three stages of AKI and non-AKI patients following heart surgery. This study will fill this gap in the literature and help to improve kidney disease management in the future. In this study, we applied Raman spectroscopy (RS) to uncover unique urine biomarkers distinguishing heart surgery patients with and without AKI. Given the amplified risk of renal complications post-cardiac surgery, this approach is of paramount importance. Further, we employed the partial least squares-support vector machine (PLS-SVM) model to distinguish between all three stages of AKI and non-AKI patients. We noted significant metabolic disparities among the groups. Each AKI stage presented a distinct metabolic profile: stage 1 had elevated uric acid and reduced creatinine levels; stage 2 demonstrated increased tryptophan and nitrogenous compounds with diminished uric acid; stage 3 displayed the highest neopterin and the lowest creatinine levels. We utilized the PLS-SVM model for discriminant analysis, achieving over 90% identification rate in distinguishing AKI patients, encompassing all stages, from non-AKI subjects. This study characterizes the incidence and risk factors for AKI after cardiac surgery. The unique spectral information garnered from this study can also pave the way for developing an <i>in vivo</i> RS method to detect and monitor AKI effectively.
DOI: 10.6084/m9.figshare.26462577
title: Exploring the causal connection: insights into diabetic nephropathy and gut microbiota from whole-genome sequencing databases

description: Over recent years, the prevalence of diabetes has been on the rise, paralleling improvements in living standards. Diabetic nephropathy (DN), a prevalent complication of diabetes, has also exhibited a growing incidence. While some clinical studies and reviews have hinted at a link between diabetic nephropathy and gut microbiota (GM), the nature of this connection, specifically its causative nature, remains uncertain. Investigating the causal relationship between diabetic nephropathy and gut microbiota holds the promise of aiding in disease screening and identifying novel biomarkers. In this study, we employed a two-sample Mendelian randomization analysis. Our dataset encompassed 4,111 DN patients from the GWAS database, juxtaposed with 308,539 members forming a control group. The aim was to pinpoint specific categories within the vast spectrum of the 211 known gut microbiota types that may have a direct causal relationship with diabetic nephropathy. Rigorous measures, including extensive heterogeneity and sensitivity analyses, were implemented to mitigate the influence of confounding variables on our experimental outcomes. Ultimately, our comprehensive analysis revealed 15 distinct categories of gut microbiota that exhibit a causal association with diabetic nephropathy. In summary, the phyla Bacteroidota and Verrucomicrobiae, the families Peptostreptococcaceae and Veillonellaceae, the genus Akkermansia, and the species Catenibacterium, Lachnoclostridium, Parasutterella, along with the orders Bacteroidales and Verrucomicrobiales, and the class Bacteroidetes were identified as correlates of increased risk for DN. Conversely, the family Victivallaceae, the species Eubacterium coprostanoligenes, and the Clostridium sensu stricto 1 group were found to be associated with a protective effect against the development of DN. These findings not only provide valuable insights but also open up novel avenues for clinical research, offering fresh directions for potential treatments.
DOI: 10.6084/m9.figshare.26462577.v1
title: Exploring the causal connection: insights into diabetic nephropathy and gut microbiota from whole-genome sequencing databases

description: Over recent years, the prevalence of diabetes has been on the rise, paralleling improvements in living standards. Diabetic nephropathy (DN), a prevalent complication of diabetes, has also exhibited a growing incidence. While some clinical studies and reviews have hinted at a link between diabetic nephropathy and gut microbiota (GM), the nature of this connection, specifically its causative nature, remains uncertain. Investigating the causal relationship between diabetic nephropathy and gut microbiota holds the promise of aiding in disease screening and identifying novel biomarkers. In this study, we employed a two-sample Mendelian randomization analysis. Our dataset encompassed 4,111 DN patients from the GWAS database, juxtaposed with 308,539 members forming a control group. The aim was to pinpoint specific categories within the vast spectrum of the 211 known gut microbiota types that may have a direct causal relationship with diabetic nephropathy. Rigorous measures, including extensive heterogeneity and sensitivity analyses, were implemented to mitigate the influence of confounding variables on our experimental outcomes. Ultimately, our comprehensive analysis revealed 15 distinct categories of gut microbiota that exhibit a causal association with diabetic nephropathy. In summary, the phyla Bacteroidota and Verrucomicrobiae, the families Peptostreptococcaceae and Veillonellaceae, the genus Akkermansia, and the species Catenibacterium, Lachnoclostridium, Parasutterella, along with the orders Bacteroidales and Verrucomicrobiales, and the class Bacteroidetes were identified as correlates of increased risk for DN. Conversely, the family Victivallaceae, the species Eubacterium coprostanoligenes, and the Clostridium sensu stricto 1 group were found to be associated with a protective effect against the development of DN. These findings not only provide valuable insights but also open up novel avenues for clinical research, offering fresh directions for potential treatments.
DOI: 10.6084/m9.figshare.26508985
title: Association between hydration status and the risk and all-cause mortality of diabetic kidney disease

description: This cohort study aimed to explore the relationship between hydration status and the risk of diabetic kidney disease (DKD) as well as all-cause death in DKD patients. Weighted univariable and multivariable logistic regression models were used to explore the association between hydration status and DKD risk in diabetic population while weighted univariable and multivariable Cox regression models were used to identify the association between hydration status and all-cause mortality in DKD patients. Kaplan-Meier curve was plotted to present the survival probability of patients with different hydration status. Estimates were presented as odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI). The mean follow-up time was 79.74 (±1.89) months. There were 2041 participants with DKD, and 2889 participants without. At the end of the follow-up, 965 participants were alive. The risk of DKD was increased as the increase of osmolarity level (OR = 1.07, 95%CI: 1.05–1.08). The elevated risk of DKD was observed in patients with impending dehydration (OR = 1.49, 95%CI: 1.19–1.85) or current dehydration (OR = 2.69, 95%CI: 2.09–3.46). The association between increased osmolarty level and elevated risk of all-cause mortality in DKD patients was statistically different (HR = 1.02, 95%CI: 1.01–1.03). Current dehydration was correlated with increased all-cause mortality risk in DKD patients (HR = 1.27, 95%CI: 1.01–1.61). Compared to DKD patients with normal hydration, the survival probability of DKD patients with current dehydration was significant lower (<i>p</i> &lt; 0.001). Increased osmolarity level was associated with increased risk of DKD and elevated risk of all-cause mortality in DKD patients.
DOI: 10.6084/m9.figshare.26508985.v1
title: Association between hydration status and the risk and all-cause mortality of diabetic kidney disease

description: This cohort study aimed to explore the relationship between hydration status and the risk of diabetic kidney disease (DKD) as well as all-cause death in DKD patients. Weighted univariable and multivariable logistic regression models were used to explore the association between hydration status and DKD risk in diabetic population while weighted univariable and multivariable Cox regression models were used to identify the association between hydration status and all-cause mortality in DKD patients. Kaplan-Meier curve was plotted to present the survival probability of patients with different hydration status. Estimates were presented as odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI). The mean follow-up time was 79.74 (±1.89) months. There were 2041 participants with DKD, and 2889 participants without. At the end of the follow-up, 965 participants were alive. The risk of DKD was increased as the increase of osmolarity level (OR = 1.07, 95%CI: 1.05–1.08). The elevated risk of DKD was observed in patients with impending dehydration (OR = 1.49, 95%CI: 1.19–1.85) or current dehydration (OR = 2.69, 95%CI: 2.09–3.46). The association between increased osmolarty level and elevated risk of all-cause mortality in DKD patients was statistically different (HR = 1.02, 95%CI: 1.01–1.03). Current dehydration was correlated with increased all-cause mortality risk in DKD patients (HR = 1.27, 95%CI: 1.01–1.61). Compared to DKD patients with normal hydration, the survival probability of DKD patients with current dehydration was significant lower (<i>p</i> &lt; 0.001). Increased osmolarity level was associated with increased risk of DKD and elevated risk of all-cause mortality in DKD patients.
DOI: 10.6084/m9.figshare.27722525
title: Identification of hub fatty acid metabolism-related genes and immune infiltration in IgA nephropathy

description: To investigate the potential mechanisms of fatty acid metabolism (FAM)-related genes in IgA nephropathy (IgAN) and to explore its immune cell infiltration characteristic. Datasets for IgAN and FAM-related genes were obtained from GEO and MSigDB database, respectively. We employed differential expression analysis and WGCNA to identify common genes. GO and KEGG analyses were performed to compare the differences between IgAN and control groups. Furthermore, LASSO logistic regression was applied to develop a predictive model based on FAM-related genes. The efficacy of this prognostic model was evaluated using ROC analysis. The infiltration of immune cells and immune-related functions were assessed with CIBERSORT tool. Finally, the identified key genes were validated in blood samples from IgAN and control patients, as well as in human mesangial cells (HMCs) following Gd-IgA stimulation using Real-time PCR. A total of 12 hub genes linked to FAM were identified in patients with IgAN. A predictive model consisting of four genes was conducted through COX and LASSO regression analysis, revealing AUC values that indicate a relatively strong diagnostic capability. Immune infiltration analysis indicated that various immune cells have significant associations with IgAN. Additionally, Real-time PCR assays confirmed that the expression levels of hub genes were markedly reduced in IgAN patients and in Gd-IgA treated HMCs compared to controls. This study employed bioinformatics methods to unveiled the immune cell infiltration associated with IgAN and to explore the potential genetic connection between FAM and IgAN. This could aid in predicting the risk of IgAN and enhance both diagnosis and prognosis of this condition.
DOI: 10.6084/m9.figshare.27722525.v1
title: Identification of hub fatty acid metabolism-related genes and immune infiltration in IgA nephropathy

description: To investigate the potential mechanisms of fatty acid metabolism (FAM)-related genes in IgA nephropathy (IgAN) and to explore its immune cell infiltration characteristic. Datasets for IgAN and FAM-related genes were obtained from GEO and MSigDB database, respectively. We employed differential expression analysis and WGCNA to identify common genes. GO and KEGG analyses were performed to compare the differences between IgAN and control groups. Furthermore, LASSO logistic regression was applied to develop a predictive model based on FAM-related genes. The efficacy of this prognostic model was evaluated using ROC analysis. The infiltration of immune cells and immune-related functions were assessed with CIBERSORT tool. Finally, the identified key genes were validated in blood samples from IgAN and control patients, as well as in human mesangial cells (HMCs) following Gd-IgA stimulation using Real-time PCR. A total of 12 hub genes linked to FAM were identified in patients with IgAN. A predictive model consisting of four genes was conducted through COX and LASSO regression analysis, revealing AUC values that indicate a relatively strong diagnostic capability. Immune infiltration analysis indicated that various immune cells have significant associations with IgAN. Additionally, Real-time PCR assays confirmed that the expression levels of hub genes were markedly reduced in IgAN patients and in Gd-IgA treated HMCs compared to controls. This study employed bioinformatics methods to unveiled the immune cell infiltration associated with IgAN and to explore the potential genetic connection between FAM and IgAN. This could aid in predicting the risk of IgAN and enhance both diagnosis and prognosis of this condition.
DOI: 10.6084/m9.figshare.26354667
title: Continuous aspirin treatment improves cardiovascular events and all-cause mortality in hemodialysis patients with peripheral artery disease

description: Hemodialysis (HD) patients with peripheral arterial disease (PAD) are at heightened risk of adverse vascular events, and aspirin positively affects those outcomes. We aimed to investigate the association between different patterns of aspirin use and clinical vascular events in chronic HD patients with PAD. This retrospective nationwide cohort study enrolled 758 chronic HD patients who had been diagnosed with PAD between January 1, 2008, and December 31, 2012, and followed up until the end of 2020. Patients were divided into three groups according to medication possession ratio (MPR) and continued use of aspirin (i.e., low MPR, high MPR but discontinuous prescription, and high MPR and continuous prescription). Percutaneous transluminal angioplasty (PTA), surgical bypass, lower leg amputation, cardiovascular events, cerebrovascular events, and all-cause mortality were evaluated. High MPR and continuous aspirin use had the lowest incidence of all-cause mortality and cardiovascular events compared with the two other groups, and it was significantly associated with low risk of PTA, surgical bypass, cardiovascular events, and all-cause mortality (aHR: 0.58 [0.41–0.83], 0.49 [0.25–0.95], 0.57 [0.40–0.81], and 0.70 [0.55–0.88], respectively). Kaplan–Meier analysis revealed that event-free rates of PTA, cardiovascular events, and all-cause mortality of patients with high MPR and continuous aspirin treatment were the highest among the three groups (<i>p</i> &lt; 0.05). Among HD patients with PAD, high MPR and continuous aspirin use significantly reduced the risk of PTA, surgical bypass, cardiovascular events, and all-cause mortality and improved the event-free rates of PTA, cardiovascular events, and all-cause mortality during long-term follow-up.
DOI: 10.6084/m9.figshare.26354667.v1
title: Continuous aspirin treatment improves cardiovascular events and all-cause mortality in hemodialysis patients with peripheral artery disease

description: Hemodialysis (HD) patients with peripheral arterial disease (PAD) are at heightened risk of adverse vascular events, and aspirin positively affects those outcomes. We aimed to investigate the association between different patterns of aspirin use and clinical vascular events in chronic HD patients with PAD. This retrospective nationwide cohort study enrolled 758 chronic HD patients who had been diagnosed with PAD between January 1, 2008, and December 31, 2012, and followed up until the end of 2020. Patients were divided into three groups according to medication possession ratio (MPR) and continued use of aspirin (i.e., low MPR, high MPR but discontinuous prescription, and high MPR and continuous prescription). Percutaneous transluminal angioplasty (PTA), surgical bypass, lower leg amputation, cardiovascular events, cerebrovascular events, and all-cause mortality were evaluated. High MPR and continuous aspirin use had the lowest incidence of all-cause mortality and cardiovascular events compared with the two other groups, and it was significantly associated with low risk of PTA, surgical bypass, cardiovascular events, and all-cause mortality (aHR: 0.58 [0.41–0.83], 0.49 [0.25–0.95], 0.57 [0.40–0.81], and 0.70 [0.55–0.88], respectively). Kaplan–Meier analysis revealed that event-free rates of PTA, cardiovascular events, and all-cause mortality of patients with high MPR and continuous aspirin treatment were the highest among the three groups (<i>p</i> &lt; 0.05). Among HD patients with PAD, high MPR and continuous aspirin use significantly reduced the risk of PTA, surgical bypass, cardiovascular events, and all-cause mortality and improved the event-free rates of PTA, cardiovascular events, and all-cause mortality during long-term follow-up.
DOI: 10.6084/m9.figshare.26201715
title: Impact of volume indices in bioelectrical impedance measurement on the assessment of cardiac function indices by echocardiography in hemodialysis patients

description: Cardiovascular events resulting from volume overload are a primary cause of mortality in hemodialysis patients. Bioelectrical impedance analysis (BIA) is significantly valuable for assessing the volume status of hemodialysis (HD) patients. In this article, we explore the correlation between the volume index measured by BIA and the cardiac function index assessed by echocardiography (ECG) in HD patients. Between April and November 2018, we conducted a cross-sectional study involving randomly selected 126 maintenance HD patients. Comprehensive data on medical history and laboratory test results were collected. Subsequently, we investigated the correlation between volume indices measured by BIA and cardiac function parameters by ECG. We discovered a significant correlation between the volume indices measured by BIA and various parameter of cardiac function. The Left Ventricular Hypertrophy (LVH) group exhibited higher levels of the percentage of Extracellular Water (ECW%) and the percentage of Total Body Water (TBW%) compared to the Non-LVH group. Extracellular Water (ECW) and Third Interstitial Fluid Volume (TSFV) were identified as independent risk factors for Left Ventricular Mass (LVM), and both demonstrated a high predictive value for LVM. ECW% emerged as an independent risk factor for the Left Ventricular Mass Index (LVMI), with a high predictive value for LVMI. ECW and TSFV were found to be positively associated with cardiac function parameters in HD patients.
DOI: 10.6084/m9.figshare.26201715.v1
title: Impact of volume indices in bioelectrical impedance measurement on the assessment of cardiac function indices by echocardiography in hemodialysis patients

description: Cardiovascular events resulting from volume overload are a primary cause of mortality in hemodialysis patients. Bioelectrical impedance analysis (BIA) is significantly valuable for assessing the volume status of hemodialysis (HD) patients. In this article, we explore the correlation between the volume index measured by BIA and the cardiac function index assessed by echocardiography (ECG) in HD patients. Between April and November 2018, we conducted a cross-sectional study involving randomly selected 126 maintenance HD patients. Comprehensive data on medical history and laboratory test results were collected. Subsequently, we investigated the correlation between volume indices measured by BIA and cardiac function parameters by ECG. We discovered a significant correlation between the volume indices measured by BIA and various parameter of cardiac function. The Left Ventricular Hypertrophy (LVH) group exhibited higher levels of the percentage of Extracellular Water (ECW%) and the percentage of Total Body Water (TBW%) compared to the Non-LVH group. Extracellular Water (ECW) and Third Interstitial Fluid Volume (TSFV) were identified as independent risk factors for Left Ventricular Mass (LVM), and both demonstrated a high predictive value for LVM. ECW% emerged as an independent risk factor for the Left Ventricular Mass Index (LVMI), with a high predictive value for LVMI. ECW and TSFV were found to be positively associated with cardiac function parameters in HD patients.
DOI: 10.6084/m9.figshare.27074110
title: Statin therapy and upper tract urothelial carcinoma risk in hyperlipidemic patients with chronic kidney disease and end-stage kidney disease, a population-based 17-year follow-up study

description: The upper tract urothelial carcinoma (UTUC) risk associated with statin therapy in hyperlipidemic patients with chronic kidney disease (CKD) and end-stage kidney disease (ESKD) remains obscure. This retrospective cohort study investigated the UTUC risk for hyperlipidemic patients with CKD or ESKD associated with statin therapy. From the national insurance claims data of Taiwan, we identified hyperlipidemic patients and established three pairs of statin users and non-users sub-cohorts matched by propensity scores: 401,490 pairs with normal kidney function, 37,734 pairs with CKD, and 6271 pairs with ESKD. Incidence rates and hazard ratio (HR) of UTUC were estimated, by the end of 2016, between statin and non-statin cohorts, and between hydrophilic statins users and lipophilic statins users. Time-dependent model estimated adjusted HR, and sub-distribution HR (sHR) accounting for the competing risk of deaths. The statin-users with ESKD were at increased UTUC risk (sHR 1.98; 95% confidence interval (CI), 1.28–3.06), significant for younger patients (40–64 years). The incidence was twofold greater in women than in men (31.8 versus 15.9 per 10,000 person-years). Receiving lipophilic statins was associated with increased UTUC risk in CKD and ESKD patients, while receiving hydrophilic statins was associated with increased UTUC risk in ESKD patients. Patients with ESKD receiving statin were at an increased UTUC risk, significant for younger group (&lt;65 y/o). The positive associations between UTUC and statin persisted in both genders with ESKD, and in therapy with either lipophilic statins or hydrophilic statins. Statin users with ESKD deserve attention for UTUC prevention.