Expansion and Assessment of a Web-Based 24-Hour Dietary Recall Tool, Foodbook24, for Use Among Diverse Populations Living in Ireland: Comparative Analysis by Grace Bennett, Shuhua Yang, Laura A Bardon, Claire M Timon, Eileen R Gibney

“…As the Irish population is becoming increasingly diverse, there is an urgent need to understand the habitual food intake and diet quality of multiple population subgroups, including different nationalities and ethnic minorities, in Ireland. …”
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High risk for life-threatening adverse events of fluoroquinolones in young adults: a large German population-based cohort study by Julia Wicherski, Jonas Peltner, Cornelia Becker, Katrin Schüssel, Gabriela Brückner, Andreas Schlotmann, Helmut Schröder, Winfried V. Kern, Britta Haenisch

“…Conclusions This study contributes real-world evidence to endpoint-specific differences of risks in patient subgroups which need to be considered to improve fluoroquinolone drug safety.…”
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Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

“…Subsequent to this, consensus clustering analysis was implemented to stratify patients into distinct subgroups, contingent upon the expression patterns of lipid metabolism genes. …”
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Validation of the Polish version of the Functional Oral Intake Scale against flexible endoscopic evaluation of swallowing and the International Dysphagia Diet Standardization Initi... by Magdalena Milewska, Barbara Jamroz, Mariusz Panczyk, Joanna Chmielewska-Walczak, Tomasz Czernicki, Marta Dabrowska-Bender, Marcin Folwarski, Marcin Folwarski, Dorota Szostak-Wegierek

“…Significant differences in FOIS-PL scores were evident across patient subgroups stratified by PAS severity (PAS ≤ 2, PAS 3–5, PAS > 5) and IDDSI levels. …”
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Comparative- and Cost-Effectiveness Research Determining the Optimal Intervention for Advancing Transgender Women With HIV to Full Viral Suppression (Text Me, Alexis!): Protocol fo... by Cathy J Reback, Thomas Blue, Ali Jalali, Raphael Landovitz, Michael J Li, Raymond P Mata, Danielle Ryan, Philip J Jeng, Sean M Murphy

“…Though the effectiveness of both interventions has been established, their comparative effectiveness, required resources or costs, cost-effectiveness, and heterogeneous effects on subgroups, including those with substance use disorder, have not been evaluated. …”
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Real-World Persistence and Effectiveness of Upadacitinib versus Other Janus Kinase Inhibitors and Tumor Necrosis Factor Inhibitors in Australian Patients with Rheumatoid Arthritis by Peter Youssef, Sabina Ciciriello, Talib Tahir, Joanna Leadbetter, Belinda Butcher, Miriam Calao, Nicole Walsh, Catherine O’Sullivan, Tegan Smith, Geoffrey Littlejohn

“…DAS28CRP(3) remission rates were greater at 3 months for UPA than other JAKis (75.0% versus 61.5%) and TNFis (72.7% versus 59.5%). In unmatched subgroups, compared to cycling between TNFis, switching to UPA from other JAKis or TNFis resulted in longer persistence (JAKi-to-UPA: 25.3 [16.1, not reached]; TNFi-to-UPA: 27.8 [23.2, 35.4]; TNFi-to-TNFi: 9.6 [8.4, 10.7]) and greater DAS28CRP(3) remission rates over 9 months. …”
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Association of over-the-counter mouthwash use with markers of nitric oxide metabolism, inflammation, and endothelial function—a cross-sectional study by Kai Guo, Kaumudi Joshipura, Karina Ricart, Rakesh P. Patel, Barbara A. Gower, Oelisoa Mireille Andriankaja, Evangelia Morou-Bermudez

“…In the participants who used mouthwash twice a day or more use, TNF-α was positively associated with serum nitrate (β = 3.36, 95% CI: 2.07, 4.65), salivary nitrite (β = 1.04, 95% CI: 0.39, 1.69) and salivary nitrate (β = 0.48, 95% CI: 0.25, 0.71); sICAM-1 was positively associated with serum nitrate (β = 1.58, 95% CI: 0.86, 2.29). In both subgroups of mouthwash users, sVCAM-1 was positively correlated with serum nitrate and salivary nitrate. …”
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Construction of the bromodomain-containing protein-associated prognostic model in triple-negative breast cancer by Wei Chen, Yushuai Yu, Chenxi Wang, Zirong Jiang, Xiewei Huang, Yidan Lin, Hongjing Han, Qing Wang, Hui Zhang

“…Differential expression analysis was performed to identify differentially expressed genes (DEGs): DEGs1 in key cells, DEGs2 between tumours and controls and DEGs3 in high and low BRDRGs score subgroups in TCGA-TNBC. Differentially expressed BRDRGs (DE-BRDRGs) were determined by overlapping DEGs1, DEGs2 and DEGs3. …”
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Remnant cholesterol and its variability independent of low density lipoprotein cholesterol predict metabolic dysfunction associated steatotic liver disease by Yuting Sun, Xinlei Miao, Manling Hu, Xiaoling Xie, Shuang Liu, Ziping Song, Jiayi Deng, Fei Xu, Meng Li, Yangxuan He, Song Leng

“…The fully adjusted Cox model revealed that the HRs of SD, logSD, ARV, logARV, MAD and logMAD were 1.400 (95% CI 1.305–1.502), 1.278 (95% CI 1.188–1.374), 1.152 (95% CI 1.079–1.229), 1.183 (95% CI 1.140–1.227), 1.578 (95% CI 1.433–1.737) and 1.263 (95% CI 1.175–1.358), respectively. In both LDL-C subgroups (≥ 3.4 mmol/L and < 3.4 mmol/L), high baseline RC was associated with elevated MASLD risk (HR 1.208, 95% CI 1.148–1.270, P < 0.001; HR 1.246, 95% CI 1.129–1.374, P < 0.001). …”
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Serum IL-1<mml:math alttext="$eta $"> <mml:mi>&#x03B2;</mml:mi> </mml:math>, IL-2, and IL-6 in Insulin-Dependent Diabetic Children

“…Children with IDDM were divided into three subgroups: (1) previously diagnosed patients (long standing IDDM) (<mml:math alttext="$n : 15$"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>:</mml:mo> <mml:mn>15</mml:mn> </mml:mrow> </mml:math>), (2) newly diagnosed patients with diabetic ketoacidosis (before treatment) (<mml:math alttext="$n : 12$"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>:</mml:mo> <mml:mn>12</mml:mn> </mml:mrow> </mml:math>), and (3) newly diagnosed patients with diabetic ketoacidosis (after treatment for two weeks) (<mml:math alttext="$n : 12$"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>:</mml:mo> <mml:mn>12</mml:mn> </mml:mrow> </mml:math>). …”
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Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of dat... by Yuejing QIAO, Yuhuan LIU, Lijuan TANG, Dongsheng JIANG, Xiaoli LIU, Ze CUI

“…A total of 18 357 (61.76%) of the residents reported the clustering of adverse lifestyle behaviors (with two or more of the five behaviors) and the subgroups of reporting higher clustering of the adverse lifestyle behaviors were those being males (9 745 [79.74%] reporting the clustering), aged 45 – 54 years (4 932, 63.94%), with primary education or below (9 254, 64.70%), with agricultural household registration (15 321, 67.26%), and with annual household income of ≤ 25 000 Chinese yuan (13 836, 66.41%), and being farmers (13 795, 67.72%). …”
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The association between self-acceptance, emotion regulation, and treatment adherence self-efficacy among adolescents with HIV in Liangshan prefecture, China: a cross-sectional stud... by Dan Tan, Wenxi Zhong, Li Ma, Jing Cheng, Xianjun Mao, Xi Zhang, Jian Tang, Song Fan, Bianchuan Cao, Yanhua Chen

“…Tailored interventions that address the specific needs of these subgroups could contribute to improved health outcomes and more effective HIV management among adolescents.…”
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Exploring the relationships between self-efficacy, self-care, and glycaemic control in primary care diabetes management by Le Ho Thi Quynh Anh, Nguyen Vu Quoc Huy, Nguyen Minh Tam, Johan Wens, Anselme Derese, Wim Peersman, Vo Ngoc Ha My, Tran Binh Thang, Nguyen Thi Phuong Anh, Tran Thi Truc Ly, Peter Pype

“…Network analysis in R software examined relationships between self-efficacy and self-care dimensions across glycaemic control subgroups using a Gaussian graphical model with the extended Bayesian information criterion. …”
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TP53 germline testing and hereditary cancer: how somatic events and clinical criteria affect variant detection rate by Paula Rofes, Carmen Castillo-Manzano, Mireia Menéndez, Álex Teulé, Sílvia Iglesias, Elisabet Munté, Mireia Ramos-Muntada, Carolina Gómez, Eva Tornero, Esther Darder, Eva Montes, Laura Valle, Gabriel Capellá, Marta Pineda, Joan Brunet, Lidia Feliubadaló, Jesús del Valle, Conxi Lázaro

“…Methods TP53 was analyzed in 6161 suspected hereditary cancer non-related patients categorized into three subgroups: (1) 495 patients fulfilling any LFS/Chompret clinical criteria; (2) 2481 patients diagnosed with early-onset breast/colorectal cancer; (3) 3185 patients without clinical criteria suggestive of hTP53rc. …”
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Disparate and shared transcriptomic signatures associated with cortical atrophy in genetic behavioral variant frontotemporal degeneration by Ting Shen, Jacob W. Vogel, Vivianna M. Van Deerlin, EunRan Suh, Laynie Dratch, Jeffrey S. Phillips, Lauren Massimo, Edward B. Lee, David J. Irwin, Corey T. McMillan

“…Abstract Background Cortical atrophy is a common manifestation in behavioral variant frontotemporal degeneration (bvFTD), exhibiting spatial heterogeneity across various genetic subgroups, which may be driven by distinct biological mechanisms. …”
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The temporal change of heat exposure and adaptation capacity in Chinese adults from 1994 to 2023 by Xiaohui Ji, Haomin Tan, Shaoli Huang, Zhongguo Huang, Jianxiong Hu, Jianxiong Hu, Guanhao He, Fengrui Jing, Ziqiang Lin, Mengen Guo, Tao Liu, Wenjun Ma, Wenjun Ma

“…The Chi square test was employed to compare the difference between different demographic subgroups during 2014–2023. Multivariate logistic regression model was used to analyze the risk factors of air conditioner ownership.ResultsMost respondents (94.6%) thought ambient temperature had been increasing, and 57.0% people thought climate change impacted their health. …”
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Age-related features of some plasminogen activation system components content and activity in the blood of benign and malignant uterine body tumors by I. V. Kaplieva, G. V. Zhukova, V. R. Zakharchenko, E. M. Frantsiyants, E. V. Verenikina, Yu. A. Pogorelova, P. S. Kachesova, Yu. Yu. Kozel, N. A. Maximova, M. G. Ilchenko, E. I. Agarkova, A. S. Egorova

“…The indicators of LM patients were characterized by the minimum value of the ratio “t-PA activity/u-PA activity in the blood” among all studied subgroups of patients. Age-related features of the researched parameters were observed more often in the cases of LM than in the cases of UCEC. …”
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Concentrations and human health risks attributed to potentially toxic elements (PTEs) in water resources in China: Systematic review and meta-analysis by Xiaomei Hui, Anhui Li, Sheng Chang, Aihua Wang, Lu Wang, Chao Li

“…The concentration of PTEs was meta-analyzed using random effects model in water resources (surface water and groundwater) and location of study (urban and rural locations) subgroups. Human health risk assessment due to PTEs in water from ingestion and dermal contact pathways was estimated using target hazard quintet (THQ) and carcinogenic (CR) in adult males and female consumers in China. …”
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Genome-wide identification, characterization and expression analysis of WRKY transcription factors under abiotic stresses in Carthamus tinctorius L by Zhengwei Tan, Dandan Lu, Yongliang Yu, Lei Li, Lanjie Xu, Wei Dong, Qing Yang, Chunming Li, Xiufu Wan, Huizhen Liang

“…Group II was further subdivided into five subgroups (II-a, II-b, II-c, II-d, and II-e). Gene structure, conserved domain, motif, cis-elements, and expression profiling were performed. …”
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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…To further evaluate immune microenvironmental features, unsupervised clustering was applied to identify immunological subgroups. A diagnostic model was developed using logistic regression, and its performance was validated using ROC curve analysis. …”
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