bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of the number of endometrial CD138+ cells on the pregnancy outcomes of infertile patients in the proliferative phase
Authors: Li Yuye , Yu Shuyi , Liu Wenjuan , Chen Yawen , Yang Xiaobing , Wu Juanhua , Xu Mingjuan , You Guanying , Lian Ruochun , Huang Chunyu , Chen Wanru , Zeng Yong , Liu Fenghua , Diao Lianghui 
Published: January 2025

ObjectiveThis study was conducted to determine the influence of the number of CD138+ cells in the proliferative endometrium on pregnancy outcomes.MethodsThis retrospective cohort study was conducted from January to August 2018. A total of 664 infertile women who were not diagnosed with chronic endometritis (CE) and who had not received the respective antibiotic treatment were studied. Immunostaining was performed for the plasmacyte marker CD138. The number of CD138+ cells was compared in the proliferative and mid-luteal phases of the same patients without antibiotic therapy. Infertile patients were separated into three groups based on the number of positive lesions [the number of high power fields (HPFs) containing no less than five CD138+ cells]: 0 (n = 474), 1-2 (n = 125), and ≥3 positive lesions (n = 104). The pregnancy outcomes of the infertile women undergoing in vitro fertilization-embryo transfer (IVF-ET) among the three groups were then compared.ResultsThere was a much higher level of CD138+ cells during proliferation than during the mid-luteal phase (P &lt;0.0001). Pregnancy outcomes did not differ between the groups with 0 and 1-2 positive lesions. However, the ≥3 positive lesions group (P =0.006, P =0.029) had significantly lower ongoing pregnancy and live birth rates compared with the no positive lesion group. Although the 0 and ≥3 positive lesions groups showed a trend toward higher rates of clinical pregnancy (P =0.132), these differences failed to reach statistical significance. After age, body mass index (BMI), and clinical features were adjusted for, the ≥3 positive lesions group showed significantly lower live birth rates (aOR, 1.84; 95%CI, 1.08-3.15; P =0.026), clinical pregnancy (adjusted odds ratio (aOR), 1.78; 95% CI, 1.06-2.95; P =0.028), and ongoing pregnancy (aOR, 1.85; 95% CI, 1.09-3.15; P =0.024). The analysis demonstrated that the smallest number of stromal CD138+ cells suggestive of CE patients requiring treatment was defined as ≥ 3 positive lesions during the proliferation.ConclusionsDifferent diagnostic criteria for CE should be created for the proliferative and mid-luteal phases. The analysis demonstrated that the smallest number of stromal CD138+ cells suggestive of CE patients was defined as ≥ 3 positive lesions during the proliferative phase.
5,10-methylenetetrahydrofolate reductase C677T gene polymorphism as a risk factor for premature coronary artery disease in patients with type 2 diabetes mellitus
Authors: Mohammed Nisreen O. , Ali Ibtisam A. , Elamin Bahaelddin K. , Saeed Bakri Osman 
Published: January 2025

BackgroundAfrica, like the rest of the world, is experiencing an increasing prevalence of diabetes mellitus. Diabetes increases the risk for coronary artery disease (CAD) by fourfold compared to people without diabetes. C677T polymorphism in methylenetetrahydrofolate reductase (MTHFR) and hyperhomocysteinemia were reported by many studies as risk factors for CAD among patients with type 2 diabetes mellitus (T2DM). Early detection of modifiable risk factors for CAD is an important aspect of management of diabetes. This is the only study in Sudan which investigates the association between MTHFR genotypes and plasma homocysteine levels, and their role in premature CAD (PCAD) among patients with T2DM.MethodsThis study is a comparative study. We enrolled 226 Sudanese patients with T2DM, age range 25-60 years, recruited from Alshaab and Omdurman teaching hospitals in Khartoum State. 113 patients had CAD confirmed by angiography and electrocardiography (ECG) and 113 had no evidence of CAD. Polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP), using Hinf1 restriction enzyme, were used to determine MTHFR genotypes. Plasma homocysteine levels were determined by enzymatic assay on the Hitachi Cobas Integra® 400 plus. Data was analyzed using statistical package for Social Sciences (SPSS) 23, using Mann-Whtney U test, general linear model, Chi-square test and logistic regression analysis.ResultsThe frequencies of TT, CT, and CC genotypes were 16,40 and 44% among T2DM patients with PCAD. In T2DM patients without PCAD, the frequencies of TT, CT, and CC genotypes were 00,19 and 83%. The T allele showed strong association with PCAD among T2DM patients, p &lt;0.001, odds ratio (OR) 6.2, 95% CI (3.4-11.6). Patients with PCAD showed higher plasma homocysteine levels than patients without PCAD (13.5 µmol/L versus 10 µmol/L, p &lt; 0.001). The T allele had significant effect on homocysteine level, (p &lt;0.001). Plasma homocysteine levels were higher in individuals with TT genotype than those with CT or CC genotypes in patients with PCAD (16.2 + 5.3, 14.3 + 5.7 and 12.9 + 5.02 µmol/L, p=0.017). Homocysteine levels showed a significant association with CAD, p&lt;0.001, OR 3.2, 95% CI (1.9—5.5).ConclusionsOur study suggests that C677T polymorphism of MTHFR gene and hyperhomocysteinemia are risk factors for PCAD in Sudanese population with T2DM.
Assessing institutional sanitation and its impact at a citywide level: an exploration of school sanitation in the Accra Metropolitan Area, Ghana
Authors: Nkonde William , Furlong Claire , Reed Brian , Brdanovic Damir 
Published: January 2025

IntroductionExploring sanitation at a city scale is crucial due to approaches such as Citywide Inclusive Sanitation (CWIS). Sanitation impacts individuals, households and the whole city, as recognised by CWIS. The Shit Flow Diagram Graphic (SFDG) is the primary tool for citywide situation analysis. However, current SFDGs assume that individuals use only home toilets, overlooking the complexity of toilet usage, including public and workplace facilities. Our understanding of citywide sanitation flows is incomplete if analyses ignore the other toilets that people use. This study explored the impact of one type of institutional sanitation, school sanitation, on citywide sanitation flows.MethodsTo do this an overview and analysis of school sanitation at a citywide level was needed and a method to split the school pupils’ excreta flows was developed. Data was collected from secondary sources (e.g. from Ghana Statistical and Educational Services), structured observations (n = 26), and interviews with key informants (n = 15), headteachers (n = 26) and students (n = 39) from across Accra Metropolitan Area, Ghana. This data was used to construct three SFDGs, which were compared using Trend Graphs (graphs used to compare the state of sanitation across the different stages of the sanitation value chain).Results and DiscussionThe findings indicated that school sanitation was less safely managed than household sanitation and that SFDGs could be used assess school-level sanitation. Method development was crucial to accurately partition pupils’ excreta flows. While annual flows from schools appeared insignificant citywide, this seasonal flow could adversely affect public and environmental health during school terms. Therefore, it may be more important to consider the school population as a whole when thinking about the impact of school sanitation. This study highlights the importance of understanding where people spend their day and how this is related to the different sanitation systems they use; it demonstrates the need to move beyond household sanitation. This study successfully demonstrates the level of information that is needed regarding people’s sanitation practices which enables their excreta flows to be split between different facilities. It could be used as a guide for future studies and the further development of methods to explore this topic.
Understanding the county-level relationship between population change and ecological environment quality dynamic in China, 2000–2020
Authors: Zhong Mingxing , Liu Qingqing , Hu Xinyue 
Published: January 2025

Global population growth has increasingly intensified human interferences with natural ecosystems. These interferences often exhibit complexity and diversity characteristics. Understanding the relationship between population growth and environmental issues has become a focus in the current scientific community. This study, leveraging multi-source remote sensing and census data from China for the years 2000, 2010, and 2020, utilized multiple spatial econometric models to investigate the pressure of population dynamics on Ecological Environment Quality (EEQ). A bivariate local spatial autocorrelation model was applied to pinpoint regions that experienced significant population pressure in China over the past two decades. Results showed that there was a rise in population density, with larger cities attracting more migrants to become residents and EEQ declining in most counties. The analysis revealed a strong spatial dependence between changes in EEQ and population. Spatial regression models were more effective than non-spatial models in explaining population pressure on EEQ. Population growth was significantly associated with EEQ decline. Based on the spatial regression model, EEQ decreased by 0.029% for every 1% increase in population from 2000 to 2010. During 2010–2020, this impact was more pronounced, with a 1% population associated with a 0.069% decline in EEQ. Pressure zones analysis showed the most widespread regions were unsustainable zones (decreases in population and EEQ), followed by areas with both population increases and EEQ declines, with fewer regions demonstrating coordinated development improvements. Effective solutions to address the challenges of population pressure on EEQ involve government regulation, strategic planning, cross-regional management, and the sharing of responsibilities and benefits.
DEmiRNA-mRNA regulatory network reveals miR‐122-5p as a regulatory factor of arginine metabolism in necrotizing enterocolitis
Authors: Ding Zhili , Guo Ting , Tang Qiang , Hong Yaqiang , Lv Zhibao , Lu Li , Zhuang Wenjun 
Published: January 2025

ObjectiveNecrotizing enterocolitis (NEC) is a gastrointestinal emergency with relatively high morbidity and mortality in neonates. The role of microRNAs (miRNAs) in NEC is not yet entirely clear. This study aimed to explore the mechanism of miR-122-5p in NEC.MethodsDifferentially expressed (DE) miRNAs were sequenced in control and NEC mice. The DEmiRNA-mRNA regulatory network was constructed and the bioinformatics analysis was performed to identify the target mRNAs and potential roles of the DEmiRNAs. The miR-122-5p activation was explored in vitro in the human intestinal epithelial cell (FHs74Int) and rat intestinal epithelial cell (IEC-6). In vivo, mice were transinfected with miR-122-5p inhibitor before the NEC occurred. Mass spectrometry was used to qualify the concentrations of amino acids, and the viability of intestinal stem cell (ISC) was accessed to verify the biological function.ResultsPreliminarily, 15 miRNAs were found to be differentially expressed between NEC group and control group. Subsequent bioinformatics analysis revealed that miR-122-5p significantly contributes to the arginine metabolism in NEC through the DEmiRNA-mRNA regulatory network, with PRODH2 and ALDH18A1 being identified as its target genes. In vitro, miR-122-5p mimic inhibited the expression of PRODH2 and ALDH18A1 in the FHs74Int cells and IEC-6 cells. In vivo, inhibition of miR-122-5p led to increased expression of PRODH2 and ALDH18A1, along with elevated arginine levels. Following transfection with a miR-122-5p inhibiting adenovirus, the survival rate of NEC mice improved, and intestinal injury was alleviated.ConclusionMiR-122-5p inhibition could impact arginine metabolism by targeting PRODH2 and ALDH18A1, thereby mitigating intestinal injury in NEC.
Humoral and cellular immune durability of different COVID-19 vaccine platforms following homologous/heterologous boosters: one-year post vaccination
Authors: Awadalla Maaweya , AlRawi Halah Z. , Henawi Rahaf A. , Barnawi Fawziya , Alkadi Haitham , Alyami Ahmed , Alsughayir Ammar , Alsaif Alyazeed S. , Mubarak Ayman , Alturaiki Wael , Alosaimi Bandar 
Published: January 2025

IntroductionThe durability of Hybrid immunity induced by natural infection and/or COVID-19 vaccines and evidence supporting further booster vaccination are crucial factors for pandemic response, yet remain poorly understood.MethodsWe measured the durability of immune response and neutralizing capacity of antibodies following Homologous/Heterologous vaccination by mRNA-based vaccines (Pfizer-BioNTech BNT162b2) or (Moderna mRNA-1273) and viral vector-based vaccines (ChAdox1 nCoV-19-Oxford-AstraZeneca) in infected and non-infected patients. We also evaluated the long-lasting specific humoral IgG levels and T-cell immunity of the Memory CD8 cells.ResultsWe found that heterologous prime boosters led to significantly higher IgG antibody levels)9.09(than homologous boosters)5.236) one year after vaccination. We measured SARS-CoV-2 anti-S IgG antibodies and then assessed their neutralizing capacity to inhibit the receptor-binding domain (RBD) of the SARS-CoV-2 wild-type strain and omicron B.1.1.529/BA.2 variants from binding to the ACE2 receptors. The heterologous regiment demonstrated superior ACE2-binding inhibition and consistently had higher mean ACE2-receptor binding inhibition across all dose regimens without the need for further doses. The CD8+ T cells producing IFN-γ to various COVID-19 vaccine dose regimens were evaluated. We found that robust T cell mediated immune responses were preserved and largely induced by a heterogeneous vaccination eliciting a significantly higher CD8+ T cells IFN-γ response in 100% of vaccinees regardless of previous natural infection. Indeed, the difference between infected and naïve groups was less pronounced suggesting a reduced infection-related response.DiscussionAcross three layers of evidence, this study showed that heterologous vaccination provides longer-lasting immunity than homologous doses, regardless of prior natural infection.
Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation
Authors: Zhuang Chuanren , Hu Ruomeng , Li Ke , Liu Zhengshuang , Bai Songjie , Zhang Sheng , Wen Xuehuan 
Published: January 2025

BackgroundSepsis-associated acute kidney injury (S-AKI) has a significant impact on patient survival, with continuous renal replacement therapy (CRRT) being a crucial intervention. However, the optimal timing for CRRT initiation remains controversial.MethodsUsing the MIMIC-IV database for model development and the eICU database for external validation, we analyzed patients with S-AKI to compare survival rates between early and late CRRT initiation groups. Propensity score matching was performed to address potential selection bias. Subgroup analyses stratified patients by disease severity using SOFA scores (low ≤10, medium 11–15, high &gt;15) and creatinine levels (low ≤3 mg/dL, medium 3–5 mg/dL, high &gt;5 mg/dL). Multiple machine learning models were developed and evaluated to predict patient prognosis, with Shapley Additive exPlanations (SHAP) analysis identifying key prognostic factors.ResultsAfter propensity score matching, late CRRT initiation was associated with improved survival probability, but led to increased hospital and ICU stays. Subgroup analyses showed consistent trends favoring late CRRT across all SOFA categories, with the most pronounced effect in high SOFA scores (&gt;15, p = 0.058). The GBM model demonstrated robust predictive performance (average C-index 0.694 in validation and test sets). SHAP analysis identified maximum lactate levels, age, and minimum SpO2 as the strongest predictors of mortality, while CRRT timing showed relatively lower impact on outcome prediction.ConclusionWhile later initiation of CRRT in S-AKI patients was associated with improved survival, this benefit comes with increased healthcare resource utilization. The clinical parameters, rather than CRRT timing, are the primary determinants of patient outcomes, suggesting the need for a more personalized approach to CRRT initiation based on overall illness severity.
Analysis of clinical characteristics and risk factors for patients with heat stroke in western China in 2022: a multicenter retrospective study
Authors: Zheng Xin , Gao Yuchun , Xie Qinli , Chen Qiulan , Guo Chuan , Dong Qionglan , Tang Jin , Luo Jun , Ge Ying , He Jian , Hou Xiaolin , Zhou Guanghong , Chen Yuan , Cao Haiquan , Xiao Jiujia , Lan An , Chen Qiu , Zeng Yonghong , Huang Jing , Long Huaicong 
Published: January 2025

ObjectivesTo analyzed the clinical characteristics and treatment modalities of heat stroke (HS) and to identify risk factors for a poor prognosis of HS and provide reference suggestions for its treatment and prevention.Measurements and main resultsWe enrolled a total of 247 patients, with hypertension, diabetes, and psychosis being the top three comorbidities associated with HS. The incidence of HS was higher among males and older individuals. Compared to the control group, the poor prognosis group experienced higher temperatures, a higher incidence of cerebral edema, and gastrointestinal bleeding (all p &lt; 0.05). The poor prognosis group had significantly higher blood pH, HCO3-, Lac, Scr, AST, ALT, DBIL, CKMB, PT, DD, and PLT (all p &lt; 0.05). Furthermore, logistic regression analysis revealed that Lac, Scr, and APACHE II were risk factors for poor prognosis (p &lt; 0.05). The AUC values for the combined diagnostic model were 0.848 (95% CI: 0.781–0.914). Male morbidity, the number of patients with combined hypertension, the prognosis, and the APACHE II score and ALT level were all greater (p &lt; 0.05) in the CHS group. The Kaplan–Meier analysis revealed that the CHS group had a significantly higher mortality rate than the EHS group.ConclusionA high incidence of hypertension, diabetes, psychosis, men, and older persons may be associated with HS. HS patients with high blood cell counts, impaired coagulation, liver and kidney diseases, and those with a specific type of CHS may face a poor prognosis. In patients with heart failure, APACHE II, Lac, and Scr were independent risk factors for a poor prognosis.
Impact of hypertension on liver fibrosis in patients with metabolic dysfunction-associated fatty liver disease
Authors: Gao Zhifeng , Deng Huan , Qin Bowen , Bai Liang , Li Jiangwei , Zhang Jian 
Published: January 2025

BackgroundThis study aims to evaluate the association between hypertension and the risk of fibrosis in metabolic dysfunction–associated steatotic liver disease (MASLD) patients, as well as to investigate the impact of hypertension on the progression of liver fibrosis within this population.MethodsWe utilized data from the NHANES 2017 to March 2020. Multivariate logistic regression models were employed to control for sociodemographic and metabolic factors to determine the associations between hypertension, MASLD, and fibrosis.ResultsOf the total cohort (N = 5,967) 57.92% had hypertension, 38.8% had MASLD, 25.88% had both MASLD and hypertension. Patients with MASLD were more likely to have hypertension (64.24% vs. 44.80%). There was a significant association between stage I (OR1.70, 95% CI: 1.15–2.53) and stage II hypertension (OR1.98, 95% CI: 1.38–2.85) and an increased risk of SF. After adjusting for multiple confounding factors, stage I (OR1.59, 95% CI: 1.09–2.24) and stage II hypertension (OR1.48, 95% CI: 1.06–2.06) remained significantly associated with the risk of SF. Patients with both MASLD and hypertension had higher rates of SF at 14.83% and AF at 7.47%. After adjusting for sociodemographic factors, those patients still had an 8.02-fold increased risk of SF (OR8.02, 95% CI: 4.47–14.39) and a 15.13-fold increased risk of AF (OR15.13, 95% CI: 7.09–32.3). Further adjustment for metabolic factors, those patients still had a significantly higher risk of SF (OR3.07, 95% CI: 1.83–5.14) and AF (OR4.01, 95% CI: 1.48–10.89).ConclusionMASLD and hypertension are at risk for fibrosis, and the coexistence of the two has a more significant impact on the risk of fibrosis.
BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization
Authors: Liang Mingmin , Liu Xianzhi , Li Juncai , Chen Qijia , Zeng Bin , Wang Zhong , Li Jing , Wang Lei 
Published: January 2025

IntroductionPredicting potential associations between microbes and drugs is crucial for advancing pharmaceutical research and development. In this manuscript, we introduced an innovative computational model named BANNMDA by integrating Bilinear Attention Networks(BAN) with the Nuclear Norm Minimization (NNM) to uncover hidden connections between microbes and drugs.MethodsIn BANNMDA, we initially constructed a heterogeneous microbe-drug network by combining multiple drug and microbe similarity metrics with known microbe-drug relationships. Subsequently, we applied both BAN and NNM to compute predicted scores of potential microbe-drug associations. Finally, we implemented 5-fold cross-validation frameworks to evaluate the prediction performance of BANNMDA.Results and discussionThe experimental results indicated that BANNMDA outperformed state-of-the-art competitive methods. We conducted case studies on well-known drugs such as the Amoxicillin and Ceftazidime, as well as on pathogens such as Bacillus cereus and Influenza A virus, to further evaluate the efficacy of BANNMDA, and experimental outcomes showed that there were 9 out of the top 10 predicted drugs, along with 8 and 9 out of the top 10 predicted microbes having been corroborated by relevant literatures. These findings underscored the capability of BANNMDA to achieve commendable predictive accuracy.