EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis by Balázs Kui, József Pintér, Roland Molontay, Marcell Nagy, Nelli Farkas, Noémi Gede, Áron Vincze, Judit Bajor, Szilárd Gódi, József Czimmer, Imre Szabó, Anita Illés, Patrícia Sarlós, Roland Hágendorn, Gabriella Pár, Mária Papp, Zsuzsanna Vitális, György Kovács, Eszter Fehér, Ildikó Földi, Ferenc Izbéki, László Gajdán, Roland Fejes, Balázs Csaba Németh, Imola Török, Hunor Farkas, Artautas Mickevicius, Ville Sallinen, Shamil Galeev, Elena Ramírez‐Maldonado, Andrea Párniczky, Bálint Erőss, Péter Jenő Hegyi, Katalin Márta, Szilárd Váncsa, Robert Sutton, Peter Szatmary, Diane Latawiec, Chris Halloran, Enrique de‐Madaria, Elizabeth Pando, Piero Alberti, Maria José Gómez‐Jurado, Alina Tantau, Andrea Szentesi, Péter Hegyi, the Hungarian Pancreatic Study Group

“…The six most influential features were the respiratory rate, body temperature, abdominal muscular reflex, gender, age and glucose level. Using the XGBoost machine learning algorithm for prediction, the SHAP values for the explanation and the bootstrapping method to estimate confidence, we developed a free and easy‐to‐use web application in the Streamlit Python‐based framework (http://easy‐app.org/). …”
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Urinary Resveratrol Metabolites Output: Differential Associations with Cardiometabolic Markers and Liver Enzymes in House-Dwelling Subjects Featuring Metabolic Syndrome by Vanessa Bullón-Vela, Itziar Abete, Maria Angeles Zulet, Yifan Xu, Miguel A. Martínez-González, Carmen Sayón-Orea, Miguel Ruiz-Canela, Estefanía Toledo, Vicente Martín Sánchez, Ramon Estruch, Rosa María Lamuela-Raventós, Enrique Almanza-Aguilera, Montserrat Fitó, Jordi Salas-Salvadó, Andrés Díaz-López, Francisco J. Tinahones, Josep A. Tur, Dora Romaguera, Jadwiga Konieczna, Xavier Pintó, Lidia Daimiel, Ana Rodriguez-Mateos, José Alfredo Martínez

“…However, there is no difference found on glucose variables between groups. To investigate the risk of elevated serum liver markers, flexible regression models indicated that total urine resveratrol metabolites were associated with a lower risk of higher ALT (169.2 to 1314.3 nmol/g creatinine), AST (599.9 to 893.8 nmol/g creatinine), and GGT levels (169.2 to 893.8 nmol/g creatinine). …”
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Metabolic syndrome as a common comorbidity in adults with hypothalamic dysfunction by Zhuoran Xu, Zhuoran Xu, Xiaoan Ke, Xiaoan Ke, Xianxian Yuan, Xianxian Yuan, Xianxian Yuan, Linjie Wang, Linjie Wang, Lian Duan, Lian Duan, Yong Yao, Kan Deng, Feng Feng, Hui You, Xin Lian, Renzhi Wang, Hongbo Yang, Hongbo Yang, Hui Pan, Hui Pan, Lin Lu, Lin Lu, Huijuan Zhu, Huijuan Zhu

“…Considering the components of MetS, elevated fasting glucose levels were significantly more common in patients with HD than in BMI-matched controls (P = 0.029). …”
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THE PREVALENCE OF NON-INFECTIOUS DISEASES RISK FACTORS IN RUSSIAN POPULATION IN 2012-2013 YEARS. THE RESULTS OF ECVD-RF by G. A. Muromtseva, A. V. Kontsevaya, V. V. Konstantinov, G. V. Artamonova, T. M. Gatagonova, D. V. Duplyakov, A. Yu. Efanov, Yu. V. Zhernakova, V. A. Il’in, A. O. Konradi, R. A. Libis, E. V. Minakov, S. V. Nedogoda, E. V. Oschepkova, S. V. Romanchuk, O. P. Rotar, I. A. Trubacheva, A. D. Deev, S. A. Shalnova, I. E. Chazova, E. V. Shlyakhto, S. A. Boytsov, Yu. A. Balanova, N. V. Gomyranova, S. E. Evstifeeva, A. V. Kapustina, O. A. Litinskaya, M. N. Mamedov, V. A. Metelskaya, R. G. Oganov, E. I. Suvorova, M. B. Khudyakov, E. I. Baranova, R. A. Kasimov, A. A. Shabunova, A. A. Ledyaeva, E. V. Chumachek, O. G. Azarin, N. I. Babenko, L. V. Bondartsov, G. I. Furmenko, A. E. Khvostikova, O. A. Belova, O. A. Nazarova, E. A. Shutemova, O. L. Barbarash, Ya. V. Danilchenko, E. V. Indukaeva, S. A. Maksimov, T. A. Mulerova, A. E. Skripchenko, N. V. Cherkass, I. R. Basyrova, E. N. Isaeva, V. Yu. Kondratenko, E. A. Lopina, D. V. Safonova, S. A. Gudkova, N. A. Cherepanova, V. S. Kaveshnikov, R. S. Karpov, V. N. Serebryakova, I. V. Medvedeva, M. A. Storozhok, V. P. Shava, S. V. Shalaev, S. K. Gutnova, G. V. Tolparov

“…The prevalence of the following risk factors (RF) of cardiovascular diseases is evaluated: high blood pressure — 33,8%, obesity — 29,7%, high total cholesterol — 57,6%, high glucose level or diabetes — 4,6%, smoking (tobacco consumption) — 25,7%, insufficient (low) level of physical activity — 38,8%, excessive salt consumption — 49,9% and insufficient vegetables and fruits consumption — 41,9%. …”
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Sex differences in endocannabinoids during 3 years of Mediterranean diet intervention: Association with insulin resistance and weight loss in a population with metabolic syndrome by Natalia Soldevila-Domenech, Natalia Soldevila-Domenech, Antoni Pastor, Antoni Pastor, Aleix Sala-Vila, Aleix Sala-Vila, Iolanda Lázaro, Anna Boronat, Daniel Muñoz, Olga Castañer, Olga Castañer, Olga Castañer, Beatriz Fagundo, Beatriz Fagundo, Dolores Corella, Dolores Corella, Fernando Fernández-Aranda, Fernando Fernández-Aranda, Fernando Fernández-Aranda, Fernando Fernández-Aranda, Miguel Ángel Martínez-González, Miguel Ángel Martínez-González, Miguel Ángel Martínez-González, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Jordi Salas-Salvadó, Jordi Salas-Salvadó, Montserrat Fitó, Montserrat Fitó, Rafael de la Torre, Rafael de la Torre, Rafael de la Torre

“…However, marked sex differences were identified in eCBs and NAEs, as well as in the efficacy of the intervention in terms of glycemic and cardiovascular parameters, which could be related to post-menopause alterations in glucose metabolism. These findings support a sex-balanced research strategy for a better understanding of the mechanisms underlying the regulation of body weight loss.…”
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Ocena częstości występowania składowych zespołu metabolicznego w grupie pacjentów ze stabilną dusznicą bolesną kwalifikowanych do planowej koronarografii = Assessment of frequency... by Katarzyna Sawicka, Marta Kapłon, Robert Łuczyk, Agnieszka Wawryniuk

“…The metabolic syndrome is a collection of interrelated metabolic factors such as impaired glucose tolerance, insulin resistance, hyperinsulinemia, obesity, lipid disorders, hypertension. …”
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急性单发小脑小梗死的临床特征 Clinical Features of Acute Single Small Cerebellar Infarction by 胡红梅, 杨磊, 于玲, 秦伟, 白明悦, 胡文立

“…Compared with large cerebellar infarct group, small cerebellar infarct group had lower percentage of males (51.2% vs. 82.1%, P<0.001), smoking (51.2% vs. 70.5%, P=0.034), lower level of systolic blood pressure (146.2±18.2 mmHg vs.154.6±19.8 mmHg, P=0.022) and fasting blood glucose at admission (6.08±1.98 mmol/L vs.8.12±3.46 mmol/L, P<0.001), and lower incidence of vertigo (32.6% vs. 64.1%, P<0.001) and headache (9.3% vs. 28.2%, P=0.015). …”
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Exploring the “gene–protein–metabolite” network of coronary heart disease with phlegm and blood stasis syndrome by integrated multi-omics strategy by Guang Yang, Siyuan Zhou, Haoqiang He, Zinuo Shen, Yongmei Liu, Jun Hu, Jie Wang

“…Some of the specific metabolites of PBS syndrome are pyroglutamic acid, glutaric acid, glucose, mannitol, and xanthine (Zhou et al., 2019). …”
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Patient and graft survival in pancreas transplant recipients: The EFISPAN study by Pedro Ventura-Aguiar, Mercedes Cabello, Isabel Beneyto, Dolores Navarro Cabello, Guadalupe Tabernero, Angel Alonso, Juan Carlos Ruiz, Santiago Llorente

“…Of these, in multivariable analyses pancreas graft survival was inferior in patients who had received a previous kidney transplant prior to pancreas transplantation (log-rank test, p = 0.0002). Glucose metabolism, renal function and cardiovascular risk factors were generally stable following transplantation. …”
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Maresin 1 activates brown adipose tissue and promotes browning of white adipose tissue in mice by Laura M. Laiglesia, Xavier Escoté, Neira Sáinz, Elisa Felix-Soriano, Eva Santamaría, María Collantes, Marta Fernández-Galilea, Ignacio Colón-Mesa, Leyre Martínez-Fernández, Tania Quesada-López, Sergio Quesada-Vázquez, Carlos Rodríguez-Ortigosa, José M. Arbones-Mainar, Ángela M. Valverde, J Alfredo Martínez, Jesmond Dalli, Laura Herrero, Silvia Lorente-Cebrián, Francesc Villarroya, María J. Moreno-Aliaga

“…Results: In cultured differentiated murine brown adipocytes, MaR1 reduces the expression of inflammatory genes, while stimulates glucose uptake, fatty acid utilization and oxygen consumption rate, along with the upregulation of mitochondrial mass and genes involved in mitochondrial biogenesis and function and the thermogenic program. …”
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Assessing the Energy Balance and Nutritional Needs (Macronutrients, Vitamins, Minerals) in Military Students by Sajjad Mohammadyari

“…Carbohydrates stored in muscle and glucose in the blood are the main source of energy for very intense workouts and provide energy in the first minutes of training when there is not enough oxygen for aerobic metabolism [17]. ... [18-21]. …”
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R-(+)-WIN55212-2 protects pericytes from ischemic damage and restores retinal microcirculatory patency after ischemia/reperfusion injury by Jiaojiao Wei, Lili Zhang, Kaicheng Wu, Jian Yu, Fengjuan Gao, Jingyi Cheng, Ting Zhang, Xujiao Zhou, Yuan Zong, Xiaojing Huang, Chunhui Jiang

“…The rats were sacrificed at different time points of reperfusion (1 hour, 3 hours, 6 hours, and 1 day) after inducing retinal I/R injury, and their retinas were collected for analysis. Oxygen-glucose deprived/reperfusion (OGD/R) was performed by initially perfusing the retinas with oxygenated artificial cerebrospinal fluid (ACSF), then switching to an OGD solution to simulate ischemia, followed by another perfusion with ACSF. …”
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Excesso de peso e o risco cardiovascular em jovens seguidos por 17 anos: estudo do Rio de Janeiro El exceso de peso y el riesgo cardiovascular en jóvenes seguidos durante 17 años:... by Flávia Lopes Fonseca, Andréa Araújo Brandão, Roberto Pozzan, Érika Maria Gonçalves Campana, Oswaldo Luiz Pizzi, Maria Eliane Campos Magalhães, Elizabete Vianna de Freitas, Ayrton Pires Brandão

“…In A1, A2 and A3, BP and BMI were obtained. In A2 and A3, glucose (G) and lipidic profile were dosed. Also in A2, insulin (INS) was dosed and HOMA-IR was calculated. …”
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Isolation and Identification of Aeromonas salmonicida from Thamnaconus septentrionalis and Sebastes schlegeli by Huaiyuan JIN, Yaokuan LIU, Ye GAO, Sudong XIA, Siqing CHEN, Zhaolan MO, Li BIAN, Jie LI

“…Among the Biolog Gen Ⅲ tests, 31 produced positive reactions or weak positive reactions for both strains (Dextrin, D-Maltose, D-Trehalose, D-Cellobiose, Sucrose, β-Methyl-D-Glucoside, D-Salicin, α-D-Glucose, D-Mannose, D-Fructose, D-Mannitol, Glycerol, Gelatin, Glycyl-L-Proline, L-Arginine, D-Gluconic Acid, Methyl Pyruvate, L-Malic Acid, Bromo-Succinic Acid, Tween 40, α-Keto-Butyric Acid, Acetoacetic Acid, Propionic Acid, Acetic Acid, pH 6, 1% NaCl, 1% Sodium Lactate, L-Aspartic Acid, L-Glutamic Acid, L-Histidine, and L-Serine), and two weak positive reactions for 2019SS-1, while the others were negative. …”
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尿白蛋白肌酐比增高预测急性缺血性卒中短期预后的临床研究 The Prediction Value of High Urinary Albumin Creatinine Ratio for Short-term Functional Outcome in Acute Ischemic Stroke... by 申致远，陈玉辉，龚涛

“…Compared with normal renal function group, renal dysfunction group had a higher mean age (P =0.009), and higher incidence of diabetes (P =0.001), coronary heart disease (P =0.026) and atrial fibrillation (P =0.003), and a higher NIHSS score (P =0.013) on admission, and higher levels of blood glucose (P =0.001), plasma fibrinogen (P =0.008) and D-dimer (P =0.001) on admission. …”
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Architecture of androgen receptor pathways amplifying glucagon-like peptide-1 insulinotropic action in male pancreatic β cells by Weiwei Xu, M.M. Fahd Qadir, Daniela Nasteska, Paula Mota de Sa, Caroline M. Gorvin, Manuel Blandino-Rosano, Charles R. Evans, Thuong Ho, Evgeniy Potapenko, Rajakrishnan Veluthakal, Fiona B. Ashford, Stavroula Bitsi, Jia Fan, Manika Bhondeley, Kejing Song, Venkata N. Sure, Siva S.V.P. Sakamuri, Lina Schiffer, Wandy Beatty, Rachael Wyatt, Daniel E. Frigo, Xiaowen Liu, Prasad V. Katakam, Wiebke Arlt, Jochen Buck, Lonny R. Levin, Tony Hu, Jay Kolls, Charles F. Burant, Alejandra Tomas, Matthew J. Merrins, Debbie C. Thurmond, Ernesto Bernal-Mizrachi, David J. Hodson, Franck Mauvais-Jarvis

“…Summary: Male mice lacking the androgen receptor (AR) in pancreatic β cells exhibit blunted glucose-stimulated insulin secretion (GSIS), leading to hyperglycemia. …”
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Effect of in-ovo feeding of beta-hydroxy beta-methylbutyrate, dextrin and first access to feed on humoral and cellular immune responses of broilers by R Mosayebzadeh1, M Mottaghitalab2*and H Ahmadi3

“…Studies have reported that drinking glucose containing water leads to decrease in gluconeogenic enzymes thus reducing the proteins breakdown as well as beneficial antibodies (Donaldson 1995). …”
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香榧籽油对高脂膳食SD大鼠脂质代谢的影响及机理Effect of Torreya grandis cv. Merrilii seed oil on lipid metabolism in SD rats fed with high fat diet by 肖铭慧1,2，黄敏婕2，董捷2，宋丽丽1，王德前2 XIAO Minghui1,2,HUANG Minjie2, DONG Jie2, SONG Lili1, WANG Deqian2

“…The levels of serum total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), blood glucose (Glu), superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-Px), total antioxidant capacity (T-AOC), C reaction protein(CRP), interleukin-6 (IL-6), and interleukin-4 (IL-4) were detected at the 4th and 7th week, respectively. …”
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Applications of Metformin in Dentistry—A review by Muhammad Khawaja Hammad Uddin, PhD, Muhammad Shahrukh Khan Sadiq, BDS, Ashfaq Ahmed, BDS, Mariam Khan, BDS, Tooba Maniar, BDS, Syeda Mamoona Mateen, M. Phil, Bilquees Saba, FCPS, Syed Muhammad Kashif, FCPS, Shumaila Usman, PhD, Shariq Najeeb, MSc, Zohaib Khurshid, MSc, Muhammad Sohail Zafar, PhD

“…It is known primarily as an anti-hyperglycemic drug that has become the main oral blood-glucose-lowering medication for managing type 2 diabetes mellitus globally. …”
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18氟代脱氧葡萄糖PET/CT对活动性恶性肿瘤患者发生急性缺血性卒中预测作用研究 The Predictive Value of 18F-FDG PET/CT on Acute Ischemic Stroke in Patients with Active Cancer... by 李爱媛1，范萍1，李现军2，赵喆1，战同霞3，谢海1 (LI Aiyuan1, FAN Ping1, LI Xianjun2, ZHAO Zhe1, ZHAN Tongxia3, XIE Hai1 )

“…According to the basic characteristics of the patients (gender, age, weight, cancer site, fasting blood glucose before PET/CT examination) by 1∶1 propensity score matching, clinical and 18F-FDG PET/CT imaging data of both groups of patients were analyzed, mainly including the target to background ratios (TBRs) of carotid arteries (CA), ascending aorta and aortic arch (AAO-AOA), descending aorta (DAO), iliac artery and femoral artery (IA-FA), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and total bowel (TB), the area of VAT and SAT and the ratio between the two. …”
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