Invertebrates of Siberia as a promising source of animal protein for innovative feed and food production. 6. Potential of nutrient accumulation in biomass via feed enrichment by Sergei E. Tshernyshev, Andrei S. Babenko, Irina B. Babkina, Ruslan T-O. Baghirov, Vera P. Modyaeva, Margarita D. Morozova, Ksenia E. Skriptcova, Elena Yu. Subbotina, Mikhail V. Shcherbakov, Anastasia V. Simakova

“…No significant changes in the content of micro- and macroelements were observed in any of the four invertebrate species when mineral substances were added to the diet. In terms of protein content, all studied invertebrates were comparable, while insects had significantly higher levels of fats, carbohydrates, and chitin. …”
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Effects of organic acid blends on the growth performance, intestinal morphology, microbiota, and serum lipid parameters of broiler chickens by Swapnali Waghmare, Mahesh Gupta, K.B. Bahiram, J.P. Korde, Rekha Bhat, Yashwant Datar, Pushpendra Rajora, M.M. Kadam, Megha Kaore, N.V. Kurkure

“…The birds in Group 1 (T1) were fed a basal diet supplemented with plain drinking water, those in Group 2 (T2) received basal feed supplemented with Acidapure powder (1 kg/MT feed) and plain drinking water, those in Group 3 (T3) received basal feed supplemented with Acidapure liquid in the drinking water (0.2 ml/l water), and those in Group 4 (T4) received basal feed supplemented with Acidapure powder (1 kg/MT feed) and Acidapure liquid in the drinking water (0.2 ml/l water). …”
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Soil-plant-animal relationships and their effect on pasture-based milk production in Hacienda Cuba, Colombia by María A. López G., Ana G. Quintero M., Juan J. Zúñiga E., Felipe Vélez S., Juan F. Naranjo R., Óscar A. Sáenz R., Andrés F. Pérez R.

“…Subsequently, the milk production potential of the animals was determined based on the forage diet provided, as well as the impact and quantification of intensification practices, such as strategic supplementation, on buffalo milk production. …”
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The relationship between dietary branched-chain and aromatic amino acids with the regulation of leptin and FTO genes in adipose tissue of patients undergoing abdominal surgery by Farshad Teymoori, Hossein Farhadnejad, Mostafa Norouzzadeh, Mitra Kazemi Jahromi, Niloufar Saber, Ebrahim Mokhtari, Golaleh Asghari, Emad Yuzbashian, Parvin Mirmiran, Alireza Khalaj, Maryam Zarkesh, Mehdi Hedayati, Mohammadreza Vafa

“…Abstract Recent studies have suggested that the interaction between diet and an individual’s genetic predisposition can determine the likelihood of obesity and various metabolic disorders. …”
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Identification of ALEKSIN as a novel multi-IRF inhibitor of IRF- and STAT-mediated transcription in vascular inflammation and atherosclerosis by Aleksandra Antonczyk, Katarzyna Kluzek, Natalia Herbich, Mahdi Eskandarian Boroujeni, Bart Krist, Dorota Wronka, Anna Karlik, Lukasz Przybyl, Adam Plewinski, Joanna Wesoly, Hans A. R. Bluyssen

“…Finally, we identified a novel signature of 46 ALEKSIN and STATTIC commonly inhibited pro-atherogenic target genes, which was upregulated in atherosclerotic plaques in the aortas of high-fat diet-fed ApoEKO mice and associated with inflammation, proliferation, adhesion, chemotaxis, and response to lipids. …”
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The impact of dietary metabolizable energy levels on the performance of medium-sized geese: A systematic review by Shuo Wang, Chunbo Wei, Jiaxin Yan, Ying Zhang

“…Future research should explore the effects of dietary metabolizable energy levels in large-sized geese, small-sized geese, and diets with higher energy levels to broaden the understanding of energy optimization across different goose sizes and developmental stages.…”
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Evaluating the effects of dietary glutamine on performance, carcass traits, blood biochemistry, and intestine morphology in laying quail by Ewa Tomaszewska, Kamil Drabik, Kornel Kasperek, Piotr Dobrowolski, Monika Hułas-Stasiak, Renata Pyz-Łukasik, Waldemar Paszkiewicz, Monika Ziomek, Janine Donaldson, Katarzyna Dobrowolska, Artur Burmaczuk, Justyna Batkowska, Marcin B. Arciszewski, Siemowit Muszyński

“…Seven-week-old dual-purpose female quails at the onset of laying were assigned to diets containing 0% (control), 0.5%, 1%, or 1.5% Gln. …”
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Association between sleep duration and hypertension in southwest China: a population-based cross-sectional study by Yu Guo, Liming Li, Zhengming Chen, Qiang Sun, Pei Pei, Xianping Wu, Ningmei Zhang, Xiaofang Chen, Guojin Luo, John S Ji, Xiaoyu Chang, Xiaofang Chen*

“…While there have been studies on various diet and lifestyle risk factors, we do not know whether sleep duration has an association to blood pressure in southwest China. …”
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The Effect of Lipotoxicity on Renal Dysfunction in a Nonobese Rat Model of Metabolic Syndrome: A Urinary Proteomic Approach by Irena Markova, Denisa Miklankova, Martina Hüttl, Petr Kacer, Jelena Skibova, Jan Kucera, Radislav Sedlacek, Tereza Kacerova, Ludmila Kazdova, Hana Malinska

“…Male Wistar control rats and HHTg rats were fed a standard diet and observed over the course of ageing at 3, 12, and 20 months of age. …”
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Five-Year Predictors of Insulin Initiation in People with Type 2 Diabetes under Real-Life Conditions by Sandro Gentile, Felice Strollo, Francesca Viazzi, Giuseppina Russo, Pamela Piscitelli, Antonio Ceriello, Carlo Giorda, Piero Guida, Paola Fioretto, Roberto Pontremoli, Salvatore De Cosmo, the AMD-Annals Study Group

“…Patients switching to insulin showed a worse global risk profile, longer disease duration (10 ± 9 years vs. 6 ± 7 years, respectively; p<0.001), higher HbA1c (8.0 ± 1.6% vs. 7.2 ± 1.5%, respectively; p<0.001), higher triglycerides, a greater prevalence of arterial hypertension, antihypertensive, lipid-lowering and aspirin treatment, a higher rate of nonproliferative/proliferative retinopathy, and a nearly 4 times lower prevalence of the “diet alone.” They also showed a higher prevalence of subjects with eGFR < 60 ml/min/1.73 m2 (24.0% vs. 16.2%, respectively; p<0.001). …”
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Micronutrient dose response (MiNDR) study among women of reproductive age and pregnant women in rural Bangladesh: study protocol for double-blind, randomised, controlled trials by Tahmeed Ahmed, Hasmot Ali, Michael Rosenblum, Daniel J Erchick, Towfida Jahan Siddiqua, Rezwanul Haque, Parul Christian, Sarah Baker, Eleonor Zavala, Kerry J Schulze, SM Tafsir Hasan, Khalid Bin Ahsan, Sulagna Bandyopadhyay, Hasan Mahmud Sujan, Md. Hafizur Rahman, Katherine K Stephenson, Ximing Ge, Ethan K Gough, Brooke Langevin, Lee Shu Fune Wu, Brian Dyer, Anjan Kumar Roy, Mohammad Jubair, Amena Al Nishan, Mathangi Gopalakrishnan, Klaus Kraemer

“…However, at this dosage, MMS may not fully address micronutrient deficiencies in settings with chronically inadequate diets and infection. A bioefficacy study to determine amounts required to attain nutrient adequacy among women of reproductive age (WRA) and pregnant women (PW) aims to address this gap.Methods and analysis Two, four-arm, dose-response trials (n=240 participants/trial) with a double-blind, individually randomised, controlled design are underway in 18–35 year-old WRA and PW in rural northern Bangladesh. …”
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A qualitative research on health education needs of pregnant women with gestational diabetes mellitus (妊娠期糖尿病孕产妇健康教育需求的质性研究) by TAN Minjing (覃敏静), YANG Miaomiao (杨苗苗), WANG Kaihua (王凯华), LUO Chunmiao (罗春苗), ZHOU Jinchang (周金嫦)

“…Results Five themes were extracted: psychosocial support throughout the whole process, health education needs for diet and exercise treatment options, related discomforts and health education needs for coping, health education needs for home self-care, and diversified ways to obtain health education information. …”
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AlphaFold-based AI docking reveals AMPK/SIRT1-TFEB pathway modulation by traditional Chinese medicine in metabolic-associated fatty liver disease by Lulu Zhang, Yi Zheng, Mingyan Shao, Aiping Chen, Meiyi Liu, Wenlong Sun, Tianxing Li, Yini Fang, Yang Dong, Shipeng Zhao, Hui Luo, Juan Feng, Qi Wang, Lingru Li, Yanfei Zheng

“…This study investigated QGJZF’s effects in high-fat diet-induced zebrafish and golden hamsters, and in palmitate (PA) and oleic acid (OA) - induced HepG2 cells, using the SymMap database to identify potential targets and pathways of QGJZF in MAFLD and AlphaFold algorithms to predict protein structures. …”
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NLRP3 inflammasome-modulated angiogenic function of EPC via PI3K/ Akt/mTOR pathway in diabetic myocardial infarction by Jia-Peng Li, Shu Qiu, Guang-Jie Tai, Yi-Ming Liu, Wei Wei, Meng-Meng Fu, Pan-Qi Fang, Joseph Nicolao Otieno, Tungalag Battulga, Xiao-Xue Li, Ming Xu

“…Methods A model was established combining high-fat diet (HFD)/streptozotocin (STZ)-induced diabetic mice with myocardial infarction. …”
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Effects of metabolizable energy intake and body weight restriction on layer pullets: 2 - Body composition and onset of lay by Thiago L. Noetzold, Jo Ann Chew, Douglas R. Korver, René P. Kwakkel, Laura Star, Martin J. Zuidhof

“…Experiment 1 was a 2 × 4 factorial arrangement with two feed allocation (FA) levels: meal every visit (MEV) or restricted to the lower limit of Lohmann Brown-Lite recommended BW; and three dietary ME levels: Low, Standard (Std), and High (2,600, 2,800, and 3,000 kcal/kg, respectively); the fourth treatment enabled birds to choose from the three diets (Choice). Experiment 2 was a 2 × 3 factorial arrangement with two FA levels: ad libitum or restricted to the lower limit of the strain recommended BW; and three dietary ME levels: Low, Std, and High. …”
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Community-based model for management and follow-up by non-physician healthcare workers to improve awareness, treatment, and control of hypertension: The COTRACO study protocolDetai... by A.J. Lora Mantilla, L.A. Parra Gomez, P.A. Camacho-López, J. Otero-Wandurraga, B. Novella, A. González-Medina, O. Valdez-Tiburcio, F. Lanas, M.C. Rocha-Lezama, J. Alonzo-Arias, C. Rivilla-Piñango, C. Cáceres-Ramírez, S.J. Villabona-Flórez, Y.M. Giraldo-Castrillón, P. López-Jaramillo

“…Secondary outcomes include changes in BP levels, cholesterol levels, BMI, handgrip strength, waist-to-hip ratio, smoking status, Interheart risk score, diet, and physical activity at 6 and 12 months. Recommendations: If this model demonstrates superior outcomes compared to usual care, it is recommended that health authorities in low- and middle-income regions adopt and implement this approach. …”
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Effects of Different Molasses Levels and Slow-Release Urea Combinations on Growth Performance, Serum Biochemistry, Rumen Fermentation, and Microflora of Holstein Fattening Bulls by Zhiyuan Xu, Shuaihong Li, Fangzhou Yu, Yinghao Huang, Tao Xie, Hanbing Bian, Longfei Lv, Yapeng Hu, Ruoran Tao, Caiyun Fan, Sijia Liu, Jianbo Cheng

“…All of the treatments were as follows: (1) basic diet group (CON); (2) 2% molasses slow-release urea group (LMU); (3) 4% molasses slow-release urea group (MMU); and (4) 6% molasses slow-release urea group (HMU). …”
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Effect of fructo-oligosaccharides on growth performance and meat quality in broilers by ZhiHui Yan, XiaoWu Tang, RunTao Wu, Can Yang, YunMiao Jiang, Xuan Wang, QingHai Tang, YongLing Hu, LeLi Wang, Zhi Jiang

“…Total 160 Xianghuang broilers aged 2 months were randomly assigned into 2 groups, CON (control), FOS (supplemented 0.5% fructo-oligosaccharides in diet). After 38 days, the breast, thigh muscle and liver samples were collected for further analysis. …”
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Characterization of trends in preoperative hemoglobin A1c testing prior to metabolic and bariatric surgery: a retrospective, observational study by Safraz A. Hamid, Elena Graetz, Emily J. Zolfaghari, Kurt S. Schultz, Eric B. Schneider, Karen E. Gibbs

“…Compared to patients who did not have diabetes or had diabetes controlled by diet alone, patients with non-insulin dependent diabetes had 77% increased odds of receiving a A1C test (adjusted OR (aOR) 1.77, p < 0.001); insulin dependent patients had 113% increased odds (aOR 2.13, p < 0.001). …”
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Association between cardiovascular health and osteoporotic fractures: a national population-based study by Jun Ou, Tingting Wang, Ridan Lei, Mengting Sun, Xiaorui Ruan, Jianhui Wei, Jiabi Qin

“…CVH was assessed using the LE8 score, which incorporates eight modifiable cardiovascular health metrics: diet, physical activity, tobacco use, sleep, body mass index (BMI), lipid levels, blood glucose, and blood pressure. …”
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