The BET inhibitor JQ1 targets fat metabolism and counteracts obesity by Claudia Fornelli, Alessia Sofia Cento, Lorenzo Nevi, Raffaella Mastrocola, Gustavo Ferreira Alves, Giuseppina Caretti, Massimo Collino, Fabio Penna

“…Methods: Male C57BL/6J mice were divided in subgroups, either fed a standard diet or a high fat diet for 22 or 12 weeks, treated over the last 14 days with JQ1 or with vehicle. …”
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Retrospective evaluation of autotransfusion using a cell saver device versus allotransfusion in the perioperative management of acute hemoperitoneum in 43 dogs (2017–2021) by Fabienne Blunschi, Dennis Gluding, Esther Hassdenteufel, Matthias Schneider, Hendrik Lehmann

“…Increase in hematocrit over time was similar in all subgroups that received any form of blood transfusion (AA-, AO-, CS-group). …”
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Salivary Biomarkers (Opiorphin, Cortisol, Amylase, and IgA) Related to Age, Sex, and Stress Perception in a Prospective Cohort of Healthy Schoolchildren by Anna Krahel, Elzbieta Paszynska, Justyna Otulakowska-Skrzynska, Szymon Rzatowski, Amadeusz Hernik, Agnieszka Slopien, Tomasz Hanć, Paula Szczesniewska, Ewa Bryl, Yves Boucher, Marta Tyszkiewicz-Nwafor, Maria Gawriolek, Monika Dmitrzak-Weglarz

“…This cohort study is aimed at measuring stress/immune biomarkers in the saliva of healthy school-age children and comparing subgroups according to age, sex, and stress perception. …”
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Gendered impact of COVID-19 containment measures on unpaid care work and mental health in Europe: a scoping review protocol by Kathleen Pöge, Hande Gencer, Regina Brunnett, Maria A Marchwacka, Petra Rattay, Tobias Staiger, Hürrem Tezcan-Güntekin

“…This scoping review protocol describes the systematic approach to review published literature from March 2020 onwards to identify empirical studies and grey literature on the mental health impact of COVID-19 containment measures on subgroups of unpaid caregivers at the intersection of gender and other categories of social difference (eg, ethnicity, age, class) in Europe.Methods and analysis This scoping review is informed and guided by Arksey and O’Malley’s methodological framework. …”
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The Impact of Gestational Diabetes Mellitus on the Development of Preeclampsia in Twin Pregnancies: A Retrospective Cohort Study Conducted at a Tertiary Hospital by Wu H, Zhang L, Xie Z, Cai H, Zhang J, Yu L

“…Women with fasting blood glucose levels from 5.1 mmol/L (92mg/dL) to less than 5.3 mmol/L (95.6mg/dL) had a significantly higher risk of PE compared with women without GDM (OR, 2.90; 95% CI: 1.12– 7.51; P = 0.028). In subgroups of glycosylated hemoglobin (HbA1c), HbA1c ≥ 5.5% had the highest risk of PE in the second and third trimesters compared with women without GDM (OR, 4.90; 95% CI: 1.00– 24.12; P = 0.05).Conclusion: The risk of PE was not increased in twin pregnancies complicated with GDM, but significantly increased in women with an HbA1c ≥ 5.5%. …”
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Plasma Diaphanous Related Formin 1 Levels Are Associated with Altered Glucose Metabolism and Insulin Resistance in Patients with Polycystic Ovary Syndrome: A Case Control Study by Xing Li, Mingyu Liao, Jiaqing Shao, Weixin Li, Liu Shi, Dong Wang, Juan Ni, Qiuyue Shen, Fan Yang, Guiliang Peng, Ling Zhou, Yuling Zhang, Zheng Sun, Hongting Zheng, Min Long

“…All of the participants were divided into normal-weight (NW) and overweight/obese (OW) subgroups. Statistical analyses were performed with R studio. …”
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Genome-wide identification, characterization, and expression analysis of BZR transcription factor family in Gerbera hybrida by Qishan Luo, Gan Huang, Xiaohui Lin, Xiaojing Wang, Yaqin Wang

“…Phylogenetic analysis clustered these genes into two distinct subgroups. Analysis of cis-acting elements revealed their involvement in hormone response, stress response, and growth regulation. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Urban populations are diverse, and certain neighbourhoods or subgroups may be disproportionately affected by poor birth outcomes. …”
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Indicators of Glucose Metabolism in Children and Adolescents Characterized as Having “Metabolically Healthy” and “Metabolically Unhealthy” Obesity by Maria Baltogianni, Niki Dermitzaki, Vasileios Giapros, Foteini Balomenou, Chrysoula Kosmeri, Fani Ladomenou, Evanthia Kantza, Anastasios Serbis

“…Glucose metabolism indices were compared in these subgroups according to pubertal status. Results: Forty-seven children (45.2%) were diagnosed with MHO. …”
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Association between combined healthy lifestyles and infertility: a cross-sectional study in US reproductive-aged women by Xiaofeng Ye, Xiaoxia Song, Sihang Zhou, Guoqing Chen, Liping Wang

“…Additionally, each increment in healthy lifestyle factors corresponded to a 21% decrease in infertility risk (OR: 0.79, 95% CI: 0.68–0.92). Analysis of subgroups indicated that the inverse association was more pronounced in females younger than 30. …”
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Septoplasty: defining a desirable clinical outcome according to baseline symptom scores by Rolf Haye, Rolf Haye, Liv Kari Døsen, Magnus TarAngen, Caryl Gay, Are Hugo Pripp, Olga Shiryaeva

“…The cohort was divided into three subgroups (moderate, severe, very severe) according to preoperative severity of nasal obstruction (VAS score) for assessing the relation between DCID and baseline obstruction severity.ResultsThe DCID increased with increasing severity of baseline nasal obstruction: 27.5 (moderate), 44.5 (severe), and 56.0 (very severe), as did the relative DCID: 49.6% (moderate), 56.8% (severe), and 61.3% (very severe).ConclusionThe relative DCID can be a guide for assessing improvement following septoplasty according to baseline scores of nasal obstruction and for planning surgery. …”
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Evaluation of Sialic Acid Levels in the Umbilical Cord Blood of Newborns of Diabetic and Non-Diabetic Mothers and the Relation with Poor Neonatal Outcome by Yuksel Kurban, İbrahim Uyar, Koza Murat, Murat Alan

“…When the diabetic group was divided into subgroups, the group with the highest sialic acid level was type I diabetes (46.25±3.6). …”
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Propensity score matched cohort study on magnesium supplementation and mortality in critically ill patients with HFpEF by Lijun Song, Jianjun Ying, Min Li, Lan Ying, Chenliang Zhao

“…The results showed that magnesium intake significantly contributed to a decrease in the 28-day all-cause mortality rate (hazard ratio [HR], 0.682; 95% confidence interval [CI], 0.539–0.863), particularly in subgroups such as older patients (HR, 0.65; 95% CI 0.52–0.81), females (HR, 0.55; 95% CI 0.41–0.73), and those with hypertension (HR, 0.62; 95% CI 0.48–0.79) or without diabetes (HR, 0.54; 95% CI 0.41–0.71). …”
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Mortality trends and disparities for coexisting chronic obstructive pulmonary disease and cardiovascular disease: A retrospective analysis of deaths in the United States from 1999-... by Aman Goyal, Humza Saeed, Wania Sultan, Ajeet Singh, Abdullah, Muhammad Khubaib Arshad, Zubair Amin, Mah I Kan Changez, Gauranga Mahalwar, Rozi Khan, Wael AlJaroudi

“…A similar surge in mortality was observed across multiple demographic subgroups, particularly among older adults. Disparities across age groups, sex, race, and geographic location were also observed in the mortality rates due to CVD and COPD. …”
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von Willebrand factor polymorphism (rs1063856) as a risk factor for portal vein thrombosis in chronic liver diseases by Isis Samy Bedira, Olfat M. Hendy, Moones Abdelaal, Ashraf A. Basuni, Asma Ebrahim Gaber Koshoo, Alzhraa Alkhatib, Sally S. Mandour

“…Twenty patients with PVT-linked hepatocellular carcinoma (HCC) and 20 patients with non-HCC-PVT comprised the two subgroups from the 40 PVT patients. Additionally, 30 healthy volunteers of the same age and gender as the patients were included in the study as a control group. …”
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Analysis of the prognostic value of thyroglobulin antibody change trends during follow-up after 131I treatment in patients with differentiated thyroid carcinoma by Hua Ge, Wenxin Chen, Zhiyi Lin, Yuxuan Li, Shuting Chen

“…Patients were categorized into four subgroups based on changes in TgAb levels: the Negative Conversion Group (TgAb shifted from positive to sustained negativity), the Decrease Group (TgAb decreased by more than 50% but remained positive), the Stable Group (TgAb fluctuated by ≤ 50% throughout follow-up), and the Increase Group (TgAb increased by 50% or more). …”
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The learning curve for laparoscopic-assisted single-port mediastinoscopic esophagectomy: an analysis of proficiency by Wenhao Li, Xiangfeng Gan, Liangzhan Lv, Yingmeng Wu, Weizhao Huang, Yi Liang, Qingdong Cao

“…Learning curves were quantitatively assessed by unadjusted cumulative sums, different segments were derived using jointpoint linear regression analysis, and variables were compared between subgroups using trend analysis. Results The learning curve could be divided into 3 different proficiency stages: the 1st-91st, 91st-125th, and 125th-182nd procedures comprised the preliminary, transition, and proficient stages, respectively. …”
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STUDY OF VEGF-A AND TGF-Β LEVELS IN BIOPTATES OF SQUAMOUS CELL CARCINOMA OF THE TONGUE AND MOUTH FLOOR MUCOSA IN POLYCHEMOTHERAPY WITH MONOCLONAL ANTIBODIES – CETUXIMAB by O. I. Kit, E. M. Frantsiyants, I. V. Neskubina, L. Yu. Vladimirova, A. A. Lyanova, Yu. A. Pogorelova, E. V. Shalashnaya, M. A. Еngibaryan, Yu. S. Sidorenko

“…Patients were divided into two subgroups: target sensitivity of patients (partial regression and stabilization) n = 17 and target resistance (progression) n = 13. …”
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The Risk Assessment of Pesticide Ingestion with Fruit and Vegetables for Consumer’s Health by Gordana Jurak, Jasna Bošnir, Domagoj Đikić, Ana Mojsović Ćuić, Iva Pavlinić Prokurica, Aleksandar Racz, Tomislav Jukić, David Stubljar, Andrej Starc

“…The study of imazalil impact was performed on 16 Swiss albino mice divided into two groups and 4 subgroups. Experimental group animals were treated with the corresponding NOAEL dose of imazalil (10 mg/kg) for 28 days. …”
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Comprehensive Analysis of the Mechanism of Anoikis in Hepatocellular Carcinoma by Dongqian Li, Qian Bao, Shiqi Ren, Haoxiang Ding, Chengfeng Guo, Kai Gao, Jian Wan, Yao Wang, MingYan Zhu, Yicheng Xiong

“…Based on these 23 DEGs, the samples were categorized into four distinct subgroups (clusters 1, 2, 3, and 4). In addition, a clinical predictive gene signature was constructed utilizing ETV4, PBK, and SLC2A1. …”
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