Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

“…SHAP analysis indicated a negative association between the relative abundance of six bacterial species, including B. pseudocatenulatum, and body mass index (BMI). Furthermore, B. pseudocatenulatum was shown to reduce lipid accumulation in C. elegans and inhibit lipid differentiation in C3H10T1/2 cells.ConclusionBifidobacterium pseudocatenulatum holds potential as a therapeutic agent for managing diet-induced obesity, underscoring its relevance in microbiome-based obesity research and intervention.…”
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Pengaruh Mobilisasi Ibu Post Partum terhadap Pengeluaran Kolostrum by Fitriyanti ., Joserizal Serudji, Sunesni .

“…No significant effect on stress level and Body Mass Index (BMI) and eject of colostrum with p value was 1.000 (> 0.05) but significant effect occurred between infant suction power against colostrums spending with p value was 0.047 (< 0.05). …”
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Hubungan Indeks Massa Tubuh dengan Derajat Kerusakan Sendi pada Pasien Osteoartritis Lutut di RSUP Dr. M. Djamil Padang by Endang Mutiwara, Najirman ., Afriwardi .

“…The objective of this study was to determine association between Body Mass Index (BMI) and degree of joint damage in knee osteoarthritis patient at DR. …”
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The association of triglyceride-glucose and triglyceride-glucose related indices with the risk of heart disease in a national by Xiaodi Tang, Kexin Zhang, Rong He

“…The incidence of heart disease was collected by following up 9 years. TyG, TyG with body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) were collected at baseline. …”
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Central Obesity Is Associated with Variations in TSH and ACTH Levels among Euthyroid Obese Individuals by Difei Lu, Zhenfang Yuan, Ying Gao, Wei Liu, Junqing Zhang

“…Patients were assigned to four groups according to the thyroid-stimulating hormone (TSH) level stratified by quartiles, and increased body mass index (BMI) was revealed in the highest TSH quartile group (p=0.002). …”
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Associations between hypovitaminosis D, adiposity indices and insulin resistance in adolescents: mediation analyses from NHANES 2011–2018 by Yaping Deng, Yingting Luo, Yilei Shen, Yong Zhao, Wei Cao, Jie Cao, Lijuan Xu, Lin Kong

“…Methods We conducted a comprehensive analysis of NHANES data from 2011 to 2018, examining the correlation between adiposity indices such as Body Mass Index (BMI), Fat Mass Index (FMI, defined as the ratio of fat mass to height squared), hypovitaminosis D, and IR. …”
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Geographical Differences in the Safety and Efficacy of Tofacitinib Versus TNFi: A Post Hoc Analysis of ORAL Surveillance by Bogdan Batko, Slawomir Jeka, Piotr Wiland, Agnieszka Zielińska, Maria Stopińska-Polaszewska, Marcin Stajszczyk, Magdalena Kosydar-Piechna, Mary Jane Cadatal, Jose L. Rivas

“…Results Of 4362 patients (Poland, N = 759; North America, N = 1243; Other countries, N = 2360), more patients from North America versus Poland/Other countries had CV risk factors such as body mass index ≥ 30 kg/m2 and history of diabetes/hypertension; however, more patients from Poland versus other regions were ever smokers and more patients from Poland/North America versus Other countries had history of coronary artery disease. …”
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Cardiovascular Risk Biomarkers in Women with and Without Polycystic Ovary Syndrome by Manjula Nandakumar, Priya Das, Thozhukat Sathyapalan, Alexandra E. Butler, Stephen L. Atkin

“…Results: Eleven CVRPs were dysregulated in PCOS (whole set, without matching for body mass index (BMI) or insulin resistance (IR)): leptin, Interleukin-1 receptor antagonist protein (IL-1Ra), polymeric immunoglobulin receptor (PIGR), interleukin-18 receptor (IL-18Ra), C-C motif chemokine 3 (MIP-1a), and angiopoietin-1 (ANGPT1) were upregulated whilst advanced glycosylation end product-specific receptor, soluble (sRAGE), bone morphogenetic protein 6 (BMP6); growth/differentiation factor 2 (GDF2), superoxide dismutase [Mn] mitochondrial (MnSOD), and SLAM family member 5 (SLAF5) were downregulated versus the controls. …”
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Early Postoperative Pain Control and Inflammation for Total Knee Arthroplasty: A Retrospective Comparison of Continuous Adductor Canal Block versus Single-Shot Adductor Canal Block... by Xiaojuan Yang, Jun Dong, Wei Xiong, Fusen Huang

“…Patients were matched according to age, body mass index, and American Society of Anesthesiologists class. …”
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Butyrylcholinesterase Levels on Admission Predict Severity and 12-Month Mortality in Hospitalized AIDS Patients by Lijun Xu, Biao Zhu, Ying Huang, Zongxing Yang, Jia Sun, Yan Xu, Jinlei Zheng, Sabine Kinloch, Michael T. Yin, Honglei Weng, Nanping Wu

“…Associations between BChE level and CD4 count, WHO stage, body mass index (BMI), C-reactive protein (CRP) level, and duration of hospitalization were assessed. …”
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Glucagon: a potential protective factor against peripheral nerve compromise in patients with type 2 diabetes and obesity by Hao Hua, Rui Wang, Yu-xian Xu, Feng Xu, Chun-hua Wang, Li-hua Zhao, Li-hua Wang, Cheng-wei Duan, Jian-bin Su

“…This study aimed to elucidate the role of glucagon in peripheral nerve function in patients with T2D with different body mass indices (BMIs). Methods We consecutively enrolled 174 individuals with T2D and obesity (T2D/OB, BMI ≥ 28 kg/m2), and 480 individuals with T2D and nonobesity (T2D/non-OB, BMI < 28 kg/m2), all of whom underwent oral glucose tolerance tests to determine the area under the curve for glucagon (AUCgla). …”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…In receiver operating characteristic analysis, GNRI outperforms serum albumin or body mass index (BMI) alone in predicting OAB risk. …”
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Correlation between Thyroid Homeostasis and Obesity in Subclinical Hypothyroidism: Community-Based Cross-Sectional Research by Yu Zhou, Sujie Ke, Kejun Wu, Jingze Huang, Xuelin Gao, Beibei Li, Xiaoying Lin, Xiaohong Liu, Xiaoying Liu, Li Ma, Linxi Wang, Li Wu, Lijuan Wu, Chengwen Xie, Junjun Xu, Yanping Wang, Libin Liu

“…Indices of obesity, including body mass index (BMI), waist circumference (WC), and waist-height ratio (WHtR) were measured. …”
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Feasibility study to assess the delivery of a lifestyle intervention (TreatWELL) for patients with colorectal cancer undergoing potentially curative treatment by Annie S Anderson, Ronan E O’Carroll, Martine Stead, Robert J C Steele, Mary Wells, Maureen Macleod, Anna Campbell, Jacqui A Sugden, Jackie Rodger, Jennifer McKell

“…The majority of participants (77%) had a body mass index&gt;25 kg/m2 and none was underweight. …”
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Plasma circulating cell–free DNA integrity and relative telomere length as diagnostic biomarkers for Parkinson’s disease and multiple system atrophy: a cross-sectional study by Chao Ying, Chao Han, Yuan Li, Mingkai Zhang, Shuying Xiao, Lifang Zhao, Hui Zhang, Qian Yu, Jing An, Wei Mao, Yanning Cai

“…The diagnostic potential of the cell-free DNA parameters was evaluated using receiver operating characteristic (ROC) analysis, and their association with disease prevalence was examined through logistic regression models, adjusting for confounders such as age, sex, body mass index, and education level. The results showed that cell-free DNA integrity was significantly elevated in both Parkinson’s disease and multiple system atrophy patients compared with normal controls (P < 0.001 for both groups), whereas cell-free DNA relative telomere length was markedly shorter (P = 0.003 for Parkinson’s disease and P = 0.010 for multiple system atrophy). …”
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High Serum Asprosin Levels Are Associated with Presence of Metabolic Syndrome by Tao Hong, Jiao-Yang Li, Ya-Di Wang, Xiao-Yan Qi, Zhe-Zhen Liao, Poonam Bhadel, Li Ran, Jing Yang, Bin Yan, Jiang-Hua Liu, Xin-Hua Xiao

“…In all studied subjects, serum asprosin levels were positively correlated with body mass index, waist circumference, triglycerides, fasting plasma glucose, 2-hour plasma glucose, fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR) index, interleukin-6, and monocyte chemoattractant protein-1 and negatively correlated with high-density lipoprotein cholesterol (P<0.05). …”
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Association between Comorbidities and Progression of Transvalvular Pressure Gradients in Patients with Moderate and Severe Aortic Valve Stenosis by Tim Salinger, Kai Hu, Dan Liu, Scharoch Taleh, Sebastian Herrmann, Daniel Oder, Daniel Gensler, Jonas Müntze, Georg Ertl, Kristina Lorenz, Stefan Frantz, Frank Weidemann, Peter Nordbeck

“…Laboratory parameters, medication, and prevalence of eight known cardiac comorbidities and risk factors (hypertension, diabetes, coronary heart disease, peripheral artery occlusive disease, cerebrovascular disease, renal dysfunction, body mass index ≥30 Kg/m2, and history of smoking) were analyzed. …”
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Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study by Rajesh Kumar Rai, Sabri Bromage, Jan-Walter De Neve, Anamitra Barik

“…India’s nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. …”
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Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype by Niloufar Rasaei, Seyedeh Fatemeh Fatemi, Fatemeh Gholami, Mahsa Samadi, Mohammad Keshavarz Mohammadian, Elnaz Daneshzad, Khadijeh Mirzaei

“…Results We found significant interactions between GRS and N6/N3 in the adjusted model controlling for confounding factors (age, body mass index, energy, and physical activity) (β = 2.26, 95% CI: 0.008 to 4.52, P = 0.049). …”
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Perceived barriers to physical activity and their predictors among adults in the Central Region in Saudi Arabia: Gender differences and cultural aspects. by Osama Abdelhay, Mohammad Altamimi, Qusai Abdelhay, Marwan Manajrah, Ayla M Tourkmani, Mutaz Altamimi, Taghreed Altamimi

“…Additionally, older age, higher body mass index, higher education level, marriage, certain employment statuses, and chronic diseases were significantly associated with increased reported internal and external barriers. …”
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