cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17898/10078
title: Medijska politika in pluralnost akterjev na področju medijske zakonodaje v kontekstu strukturnih sprememb družbenega komuniciranja, 2024

description: Raziskava predstavlja drugi delovni sveženj projekta Medijska krajina v Sloveniji med pluralizacijo in homogenizacijo (CRP V5-2297). Njen namen je dopolniti druge svežnje projekta s kvalitativno analizo procesov in razmerij pri oblikovanju medijske zakonodaje, s poudarkom na oblikovanju in spreminjanju krovnega medijskega zakona, Zakona o medijih. Ta je bil v času zaključka raziskave prvič bistveno spremenjen od njegovega sprejetja pred več kot dvajsetimi leti. V vmesnem obdobju zakonodaja in regulacija nista uspešno naslavljali strukturnih sprememb, ki so povzročile izzive tako v delovanju medijev kot v vplivu, ki ga imajo na širšo družbo. Raziskava je razdeljena na dva dela. Prvi se osredotoča na diahrono perspektivo, pri čemer so vir analize polstrukturirani intervjuji z uradniki s področja medijske politike in strokovnjaki za medije. Osrednje raziskovalno zanimanje predstavljajo procesi in kontekst preteklih poskusov spreminjanja medijske zakonodaje ter širše dogajanje na medijskem področju v Sloveniji. Drugi del se osredotoča na sinhrono perspektivo, kjer so poleg pisnih dokumentov (odzivov akterjev na prvi predlog novega ZMed) glavni vir analize strukturirani intervjuji z notranjimi in zunanjimi akterji (organizacijami) v medijskem prostoru, torej tistimi, na katere zakonodaja in njeno (ne)spreminjanje vpliva posredno ali neposredno. Raziskovalni fokus drugega dela je sprotno spremljanje konteksta, razmerij in interesov znotraj medijskega področja v okviru nastajanja prvega in delno drugega besedila predloga novega ZMed.
DOI: 10.13130/rd_unimi/ui9ecn/okegvm
title: Gennaio_1880_Pagina_079.jpg

description: Bulletin of 1880/01/20
DOI: 10.13130/rd_unimi/ui9ecn/3spx8s
title: Gennaio_1880_Pagina_080.jpg

description: Bulletin of 1880/01/20
DOI: 10.13130/rd_unimi/ui9ecn/wdw4c7
title: Gennaio_1880_Pagina_081.jpg

description: Bulletin of 1880/01/21
DOI: 10.13130/rd_unimi/ui9ecn/0gsxrb
title: Gennaio_1880_Pagina_082.jpg

description: Bulletin of 1880/01/21
DOI: 10.13130/rd_unimi/ui9ecn/pmklwl
title: Gennaio_1880_Pagina_083.jpg

description: Bulletin of 1880/01/21
DOI: 10.13130/rd_unimi/ui9ecn/3t8fbb
title: Gennaio_1880_Pagina_084.jpg

description: Bulletin of 1880/01/21
DOI: 10.13130/rd_unimi/ui9ecn/cbzbol
title: Gennaio_1880_Pagina_085.jpg

description: Bulletin of 1880/01/22
DOI: 10.13130/rd_unimi/ui9ecn/pwbuvn
title: Gennaio_1880_Pagina_086.jpg

description: Bulletin of 1880/01/22
DOI: 10.13130/rd_unimi/ui9ecn/jpd7iy
title: Gennaio_1880_Pagina_087.jpg

description: Bulletin of 1880/01/22
DOI: 10.13130/rd_unimi/ui9ecn/m5gbws
title: Gennaio_1880_Pagina_088.jpg

description: Bulletin of 1880/01/22
DOI: 10.13130/rd_unimi/ui9ecn/h7nc2g
title: Gennaio_1880_Pagina_089.jpg

description: Bulletin of 1880/01/23
DOI: 10.13130/rd_unimi/ui9ecn/jdjvsm
title: Gennaio_1880_Pagina_090.jpg

description: Bulletin of 1880/01/23
DOI: 10.13130/rd_unimi/ui9ecn/duc6u8
title: Gennaio_1880_Pagina_091.jpg

description: Bulletin of 1880/01/23
DOI: 10.13130/rd_unimi/ui9ecn/coel8i
title: Gennaio_1880_Pagina_092.jpg

description: Bulletin of 1880/01/23
DOI: 10.13130/rd_unimi/ui9ecn/7s1df4
title: Gennaio_1880_Pagina_093.jpg

description: Bulletin of 1880/01/24
DOI: 10.13130/rd_unimi/ui9ecn/flhm2t
title: Gennaio_1880_Pagina_094.jpg

description: Bulletin of 1880/01/24
DOI: 10.13130/rd_unimi/ui9ecn/1ji9ef
title: Gennaio_1880_Pagina_095.jpg

description: Bulletin of 1880/01/24
DOI: 10.13130/rd_unimi/ui9ecn/s1kzjl
title: Gennaio_1880_Pagina_096.jpg

description: Bulletin of 1880/01/24
DOI: 10.13130/rd_unimi/ui9ecn/xw5nbu
title: Gennaio_1880_Pagina_097.jpg

description: Bulletin of 1880/01/25
DOI: 10.13130/rd_unimi/ui9ecn/oops1v
title: Gennaio_1880_Pagina_098.jpg

description: Bulletin of 1880/01/25
DOI: 10.13130/rd_unimi/ui9ecn/z72w6v
title: Gennaio_1880_Pagina_099.jpg

description: Bulletin of 1880/01/25
DOI: 10.13130/rd_unimi/ui9ecn/hsvesa
title: Gennaio_1880_Pagina_100.jpg

description: Bulletin of 1880/01/25
DOI: 10.13130/rd_unimi/ui9ecn/xuzsik
title: Gennaio_1880_Pagina_101.jpg

description: Bulletin of 1880/01/26
DOI: 10.13130/rd_unimi/ui9ecn/5mjabj
title: Gennaio_1880_Pagina_102.jpg

description: Bulletin of 1880/01/26
DOI: 10.13130/rd_unimi/ui9ecn/kwehph
title: Gennaio_1880_Pagina_103.jpg

description: Bulletin of 1880/01/26
DOI: 10.13130/rd_unimi/ui9ecn/jymper
title: Gennaio_1880_Pagina_104.jpg

description: Bulletin of 1880/01/26
DOI: 10.13130/rd_unimi/ui9ecn/chs5mj
title: Gennaio_1880_Pagina_105.jpg

description: Bulletin of 1880/01/27
DOI: 10.13130/rd_unimi/ui9ecn/k1dd72
title: Gennaio_1880_Pagina_106.jpg

description: Bulletin of 1880/01/27
DOI: 10.13130/rd_unimi/ui9ecn/cydcpp
title: Gennaio_1880_Pagina_107.jpg

description: Bulletin of 1880/01/27
DOI: 10.13130/rd_unimi/ui9ecn/d2y63x
title: Gennaio_1880_Pagina_108.jpg

description: Bulletin of 1880/01/27
DOI: 10.13130/rd_unimi/ui9ecn/1ga4gb
title: Gennaio_1880_Pagina_109.jpg

description: Bulletin of 1880/01/28
DOI: 10.13130/rd_unimi/ui9ecn/hjh8m3
title: Gennaio_1880_Pagina_111.jpg

description: Bulletin of 1880/01/28
DOI: 10.13130/rd_unimi/ui9ecn/oaygqx
title: Gennaio_1880_Pagina_110.jpg

description: Bulletin of 1880/01/28
DOI: 10.13130/rd_unimi/ui9ecn/l2mlay
title: Gennaio_1880_Pagina_112.jpg

description: Bulletin of 1880/01/28
DOI: 10.13130/rd_unimi/ui9ecn/sjirul
title: Gennaio_1880_Pagina_113.jpg

description: Bulletin of 1880/01/29
DOI: 10.6084/m9.figshare.29134902
title: Gestational diabetes mellitus and adverse pregnancy outcomes increased on pandemic lockdown: a retrospective analysis

description: Adverse social contexts, such as lockdowns and disasters during pregnancy, can significantly impact maternal and neonatal outcomes. However, the specific effects on different populations remain unclear. This study aimed to investigate the variations in pregnancy outcomes resulting from the pandemic lockdown and to identify distinct populations in need of targeted intervention. Women who delivered at our institution spanning from 2017 to 2019 (pre-pandemic) and from 2020 to 2022 (during the pandemic lockdown) were included in this study. A comparison was conducted on maternal and neonatal outcomes across a total of 19,382 singleton pregnancies, with a specific focus on those affected by gestational diabetes mellitus (GDM). As a total of 19,382 singleton pregnant women were included, this study found a significant increase in the incidence rates of GDM with an odds ratio of 1.194 (95%CI: 1.109–1.286, <i>p</i> &lt; .001). Additionally, following the pandemic lockdown, there was an increase in rates of premature birth, premature rupture of membranes, and intrahepatic cholestasis of pregnancy. Further analysis of the GDM cohort revealed a notable rise in the risk of Group B Streptococcus infection and neonatal small for gestational age (SGA). Specifically, GDM patients with a body mass index (BMI) less than 18.5 kg/m<sup>2</sup> exhibited an increased risk of fetal growth restriction and SGA. The pandemic lockdown adversely affected pregnancy outcomes. Therefore, targeted screening and clinical management for specific populations should be prioritized.
DOI: 10.6084/m9.figshare.29134902.v1
title: Gestational diabetes mellitus and adverse pregnancy outcomes increased on pandemic lockdown: a retrospective analysis

description: Adverse social contexts, such as lockdowns and disasters during pregnancy, can significantly impact maternal and neonatal outcomes. However, the specific effects on different populations remain unclear. This study aimed to investigate the variations in pregnancy outcomes resulting from the pandemic lockdown and to identify distinct populations in need of targeted intervention. Women who delivered at our institution spanning from 2017 to 2019 (pre-pandemic) and from 2020 to 2022 (during the pandemic lockdown) were included in this study. A comparison was conducted on maternal and neonatal outcomes across a total of 19,382 singleton pregnancies, with a specific focus on those affected by gestational diabetes mellitus (GDM). As a total of 19,382 singleton pregnant women were included, this study found a significant increase in the incidence rates of GDM with an odds ratio of 1.194 (95%CI: 1.109–1.286, <i>p</i> &lt; .001). Additionally, following the pandemic lockdown, there was an increase in rates of premature birth, premature rupture of membranes, and intrahepatic cholestasis of pregnancy. Further analysis of the GDM cohort revealed a notable rise in the risk of Group B Streptococcus infection and neonatal small for gestational age (SGA). Specifically, GDM patients with a body mass index (BMI) less than 18.5 kg/m<sup>2</sup> exhibited an increased risk of fetal growth restriction and SGA. The pandemic lockdown adversely affected pregnancy outcomes. Therefore, targeted screening and clinical management for specific populations should be prioritized.
DOI: 10.13130/rd_unimi/ui9ecn/k6xzae
title: Gennaio_1880_Pagina_114.jpg

description: Bulletin of 1880/01/29
DOI: 10.13130/rd_unimi/ui9ecn/nyhdhm
title: Gennaio_1880_Pagina_115.jpg

description: Bulletin of 1880/01/29
DOI: 10.17026/ar/zznbgm
title: PAN-00175527 - book cover

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175527&lt;/p&gt;
description: Modified: 2025-10-29T09:02:59+01:00
DOI: 10.13130/rd_unimi/ui9ecn/5mpvbq
title: Gennaio_1880_Pagina_116.jpg

description: Bulletin of 1880/01/29
DOI: 10.13130/rd_unimi/ui9ecn/tyvpno
title: Gennaio_1880_Pagina_117.jpg

description: Bulletin of 1880/01/30
DOI: 10.6084/m9.figshare.28092703
title: The causal relationship between gut microbiota and preterm birth: a two-sample Mendelian randomization study

description: Preterm birth, a significant global health concern, has been associated with alterations in the gut microbiota. However, the causal nature of this relationship remains uncertain due to the limitations inherent in observational studies. To investigate the potential causal relationship between gut microbiota imbalances and preterm birth. We conducted a two-sample Mendelian randomization (MR) study using genome-wide association study (GWAS) data from the MiBioGen consortium focusing on microbiota and preterm birth. Single nucleotide polymorphisms (SNPs) associated with the microbiota were selected as instrumental variables. The inverse variance weighting (IVW) method was used to estimate causality. We confirmed pleiotropy and identified and excluded outlier SNPs using MR-PRESSO and MR-Egger regression. Cochran’s Q test was applied to assess heterogeneity among SNPs, and a leave-one-out analysis was performed to evaluate the influence of individual SNPs on overall estimates. Our findings provide evidence for a causal link between specific components of the gut microbiota and preterm birth, with the identification of relevant metabolites. This study highlights the causal role of gut microbiota imbalances in preterm birth, offering novel insights into the development of preterm birth and potential targets for prevention strategies.
DOI: 10.6084/m9.figshare.28092703.v1
title: The causal relationship between gut microbiota and preterm birth: a two-sample Mendelian randomization study

description: Preterm birth, a significant global health concern, has been associated with alterations in the gut microbiota. However, the causal nature of this relationship remains uncertain due to the limitations inherent in observational studies. To investigate the potential causal relationship between gut microbiota imbalances and preterm birth. We conducted a two-sample Mendelian randomization (MR) study using genome-wide association study (GWAS) data from the MiBioGen consortium focusing on microbiota and preterm birth. Single nucleotide polymorphisms (SNPs) associated with the microbiota were selected as instrumental variables. The inverse variance weighting (IVW) method was used to estimate causality. We confirmed pleiotropy and identified and excluded outlier SNPs using MR-PRESSO and MR-Egger regression. Cochran’s Q test was applied to assess heterogeneity among SNPs, and a leave-one-out analysis was performed to evaluate the influence of individual SNPs on overall estimates. Our findings provide evidence for a causal link between specific components of the gut microbiota and preterm birth, with the identification of relevant metabolites. This study highlights the causal role of gut microbiota imbalances in preterm birth, offering novel insights into the development of preterm birth and potential targets for prevention strategies.
DOI: 10.13130/rd_unimi/ui9ecn/uvlpbb
title: Gennaio_1880_Pagina_118.jpg

description: Bulletin of 1880/01/30
DOI: 10.13130/rd_unimi/ui9ecn/x4bmzm
title: Gennaio_1880_Pagina_119.jpg

description: Bulletin of 1880/01/30
DOI: 10.13130/rd_unimi/ui9ecn/brdqrp
title: Gennaio_1880_Pagina_120.jpg

description: Bulletin of 1880/01/30
DOI: 10.6084/m9.figshare.29992452
title: Blood metabolites affect spontaneous abortion: a Mendelian randomization study

description: This study aims to assess the potential relationship between blood metabolites and spontaneous abortion (SA) <i>via</i> Mendelian randomization (MR) analysis. Summary-level metabolite data were downloaded from three large-scale genome-wide association studies (GWAS) involving 147,827 participants with 824 unique blood metabolites. The summary statistics for SA was sourced from European populations involving 9,113 cases and 89,340 controls. In this MR study, potential relationships were primarily determined according to the inverse variance-weighted (IVW) analysis results, which were further verified by other MR analyses. We also conducted several sensitivity analyses to ensure that our results were not influenced by pleiotropy and/or heterogeneity. Additionally, we performed metabolic pathway analysis on significantly SA-related metabolites using the web-based tool MetaboAnalyst 5.0. Eight known metabolites associated with SA were identified. Specifically, four metabolites were positively related to SA: caproate (6:0) (OR = 2.57, 95% CI: 1.18, 5.63), N2, N2-dimethylguanosine (OR = 1.77, 95% CI: 1.16, 2.70), total fatty acids (OR = 1.08, 95% CI: 1.00, 1.17), and ADpSGEGDFXAEGGGVR* (OR = 1.59, 95% CI: 1.08, 2.34). Another four metabolites showed negative associations with SA: succinylcarnitine (OR = 0.53, 95% CI: 0.31, 0.89), citrate (OR = 0.81, 95% CI: 0.70, 0.93), glycerol (OR = 0.84, 95% CI: 0.74, 0.97), and 1-heptadecanoylglycerophosphocholine (OR = 0.32, 95% CI: 0.12, 0.89). Multivariable MR analysis further confirmed a direct effect of caproate (6:0), succinylcarnitine, and N2, N2-dimethylguanosine on SA. Furthermore, we found that the metabolic pathways of glycerolipid metabolism and citrate cycle (TCA cycle) are connected with SA. Our study indicates that blood metabolites have a possible impact on the risk of SA. The identified metabolites and metabolic pathways can be used to explore the mechanisms of SA and potential drug targets.
DOI: 10.13130/rd_unimi/ui9ecn/pup1jn
title: Gennaio_1880_Pagina_121.jpg

description: Bulletin of 1880/01/31
DOI: 10.6084/m9.figshare.29362308
title: Non-HDL/HDL cholesterol ratio (NHHR) as a novel predictor of gestational diabetes mellitus: a NHANES-based cross-sectional study

description: To investigate the association between the non-HDL/HDL cholesterol ratio (NHHR) and gestational diabetes mellitus (GDM) risk, and assess NHHR’s predictive utility as a novel biomarker in U.S. pregnant women. A cross-sectional analysis of 1590 pregnant women from NHANES (1999–2018) was conducted. GDM was defined as fasting glucose ≥5.1 mmol/L. NHHR was calculated as (total cholesterol – HDL-C)/HDL-C. Multivariable logistic regression, restricted cubic spline (RCS) models, and ROC analysis were used to evaluate associations, threshold effects, and diagnostic accuracy, incorporating NHANES sampling weights. The highest NHHR quartile was associated with 4.48-fold higher odds of GDM (95% CI: 2.72–7.39, <i>p</i> &lt; 0.001) after full adjustment. A nonlinear dose-response relationship with a threshold at NHHR = 2.267 was identified; above this threshold, GDM odds rose sharply (OR = 2.6, 95% CI: 2.0–3.3). Subgroup analyses confirmed consistency across age, ethnicity, and BMI (<i>p</i> for interaction &gt; 0.05). NHHR demonstrated limited standalone diagnostic accuracy (AUC = 0.549, 95% CI: 0.510–0.587). While NHHR demonstrates limited standalone diagnostic accuracy (AUC = 0.549), its specificity for metabolic dysregulation suggests potential as a complementary biomarker in multi-parameter models.
DOI: 10.6084/m9.figshare.29362308.v1
title: Non-HDL/HDL cholesterol ratio (NHHR) as a novel predictor of gestational diabetes mellitus: a NHANES-based cross-sectional study

description: To investigate the association between the non-HDL/HDL cholesterol ratio (NHHR) and gestational diabetes mellitus (GDM) risk, and assess NHHR’s predictive utility as a novel biomarker in U.S. pregnant women. A cross-sectional analysis of 1590 pregnant women from NHANES (1999–2018) was conducted. GDM was defined as fasting glucose ≥5.1 mmol/L. NHHR was calculated as (total cholesterol – HDL-C)/HDL-C. Multivariable logistic regression, restricted cubic spline (RCS) models, and ROC analysis were used to evaluate associations, threshold effects, and diagnostic accuracy, incorporating NHANES sampling weights. The highest NHHR quartile was associated with 4.48-fold higher odds of GDM (95% CI: 2.72–7.39, <i>p</i> &lt; 0.001) after full adjustment. A nonlinear dose-response relationship with a threshold at NHHR = 2.267 was identified; above this threshold, GDM odds rose sharply (OR = 2.6, 95% CI: 2.0–3.3). Subgroup analyses confirmed consistency across age, ethnicity, and BMI (<i>p</i> for interaction &gt; 0.05). NHHR demonstrated limited standalone diagnostic accuracy (AUC = 0.549, 95% CI: 0.510–0.587). While NHHR demonstrates limited standalone diagnostic accuracy (AUC = 0.549), its specificity for metabolic dysregulation suggests potential as a complementary biomarker in multi-parameter models.
DOI: 10.6084/m9.figshare.29992452.v1
title: Blood metabolites affect spontaneous abortion: a Mendelian randomization study

description: This study aims to assess the potential relationship between blood metabolites and spontaneous abortion (SA) <i>via</i> Mendelian randomization (MR) analysis. Summary-level metabolite data were downloaded from three large-scale genome-wide association studies (GWAS) involving 147,827 participants with 824 unique blood metabolites. The summary statistics for SA was sourced from European populations involving 9,113 cases and 89,340 controls. In this MR study, potential relationships were primarily determined according to the inverse variance-weighted (IVW) analysis results, which were further verified by other MR analyses. We also conducted several sensitivity analyses to ensure that our results were not influenced by pleiotropy and/or heterogeneity. Additionally, we performed metabolic pathway analysis on significantly SA-related metabolites using the web-based tool MetaboAnalyst 5.0. Eight known metabolites associated with SA were identified. Specifically, four metabolites were positively related to SA: caproate (6:0) (OR = 2.57, 95% CI: 1.18, 5.63), N2, N2-dimethylguanosine (OR = 1.77, 95% CI: 1.16, 2.70), total fatty acids (OR = 1.08, 95% CI: 1.00, 1.17), and ADpSGEGDFXAEGGGVR* (OR = 1.59, 95% CI: 1.08, 2.34). Another four metabolites showed negative associations with SA: succinylcarnitine (OR = 0.53, 95% CI: 0.31, 0.89), citrate (OR = 0.81, 95% CI: 0.70, 0.93), glycerol (OR = 0.84, 95% CI: 0.74, 0.97), and 1-heptadecanoylglycerophosphocholine (OR = 0.32, 95% CI: 0.12, 0.89). Multivariable MR analysis further confirmed a direct effect of caproate (6:0), succinylcarnitine, and N2, N2-dimethylguanosine on SA. Furthermore, we found that the metabolic pathways of glycerolipid metabolism and citrate cycle (TCA cycle) are connected with SA. Our study indicates that blood metabolites have a possible impact on the risk of SA. The identified metabolites and metabolic pathways can be used to explore the mechanisms of SA and potential drug targets.
DOI: 10.6084/m9.figshare.30560975
title: Integrating newborn genetic screening with traditional screening to improve newborn screening

description: Traditional newborn screening (tNBS) for inborn errors of metabolism (IEMs) and deafness has limitations, including the detection of few genetic disorders and variants, high false-positive rates, and long turnaround times. This study aimed to explore the clinical validity of newborn genetic screening (NBGS) in newborns screened for IEMs and deafness. We retrospectively enrolled 223 cases screened for IEMs using tandem mass spectrometry-next-generation sequencing (MS/MS-NGS), including 55 study-defined positive, 68 study-defined suspected positive, and 100 negative cases. Additionally, 196 cases screened for deafness were enrolled, including 96 variant-positive and 100 negative cases. Dried blood spot samples (DBSs) from newborns were used for NBGS. For IEM, NBGS detected 34 positives in 55 study-defined positive cases with a sensitivity of 61.8% (34/55), no variants were detected in 21 cases. Four additional positive cases were identified, including one at risk of glucose-6-phosphate dehydrogenase deficiency and three at risk of deafness. The turnaround time was significantly different between the two methods: 13 days for NBGS versus 35 days for MS/MS-NGS. For deafness, the consistency of the positive results between the two methods was 96.9% (93/96). Unexpectedly, three mitochondrial gene (MT-RNR1) heteroplasmy variants (m.1555A &gt; G and m.7445A &gt; G) were not detected by NBGS. We also detected nine variants in the 100 negative cases, including seven variants in GJB2 (c.109G &gt; A), one in GJB3 (c.547G &gt; A), and one in MYO15A (c.10250_10252delCCT), for a 9% (9/100) detection rate by NBGS. As an emerging screening method for newborns, NBGS offers the potential to detect a broader spectrum of pathogenic gene variants, reduce false-positive rates, and shorten the diagnostic cycle. However, current NBGS technology has limitations and cannot fully supplant traditional detection methods. Therefore, integrating both approaches can become a critical strategy for enhancing the accuracy and efficiency of newborn screening.