Results 141 to 150 of about 198,094 (268)

Oral Delivery Systems for Food‐Derived Bioactive Peptides: Enhancing Stability, Bioavailability, and Health Benefits

Advanced Science, EarlyView.
Advanced delivery systems—including nanoparticles, nanoemulsions, liposomes, and hydrogels—protect food‐derived bioactive peptides from gastrointestinal degradation and bitterness. These systems enable pH‐responsive release, enhance intestinal absorption, and improve therapeutic efficacy against oxidative stress, metabolic disorders, cancer, and ...
Yu Xu, Fan Li, Runan Zhao, Tao Shu, Weihong Min, Bei‐Wei Zhu   +5 more
wiley   +1 more source

The Discovery, Characterization, and Quantification of Bioactive Peptides Contained in Palbio Porcine Intestinal Mucosa Hydrolysate Products. [PDF]

Int J Mol Sci
Segarra S, de la Torre C, Bech-Serra JJ, Cucurull B, Marazuela-Duque A, Vaquero A, Martínez-Puig D, Velasco-Alvarez J.   +7 more
europepmc   +1 more source

Exercise Training Reduces the Inflammatory Response and Promotes Intestinal Mucosa-Associated Immunity in Lynch Syndrome. [PDF]

Clin Cancer Res, 2023
Deng N, Reyes-Uribe L, Fahrmann JF, Thoman WS, Munsell MF, Dennison JB, Murage E, Wu R, Hawk ET, Thirumurthi S, Lynch PM, Dieli-Conwright CM, Lazar AJ, Jindal S, Chu K, Chelvanambi M, Basen-Engquist K, Li Y, Wargo JA, McAllister F, Allison JP, Sharma P, Sinha KM, Hanash S, Gilchrist SC, Vilar E.   +25 more
europepmc   +1 more source

Hypothalamic Control of Liver Health and Disease: From Circuits to Pathophysiology and Therapies

Advanced Science, EarlyView.
This review delineates the hypothalamic circuits that control liver homeostasis via autonomic and neuroendocrine pathways. Dysregulation of this hypothalamus–liver axis drives disease progression across a spectrum including steatotic liver disease, liver inflammation and injury, fibrosis, cirrhosis, and hepatocellular carcinoma.
Qin Tang, Jiahui Li, Haiying Song, Ailin Zhang, Haifeng Zeng, Yining Xu, Li Mo, Jinhan He   +7 more
wiley   +1 more source

Resolvin D2 and Its Effects on the Intestinal Mucosa of Crohn's Disease Patients: A Promising Immune Modulation Therapeutic Target. [PDF]

Int J Mol Sci
Pascoal LB, Rodrigues BL, Nogueira GADS, Ayrizono MLS, Oliveira PSP, Velloso LA, Leal RF.   +6 more
europepmc   +1 more source

Commensal Fecal Microbiota Profiles Associated with Initial Stages of Intestinal Mucosa Damage: A Pilot Study. [PDF]

Cancers (Basel), 2023
Ruiz-Saavedra S, Arboleya S, Nogacka AM, González Del Rey C, Suárez A, Diaz Y, Gueimonde M, Salazar N, González S, de Los Reyes-Gavilán CG.   +9 more
europepmc   +1 more source

Overcoming Transmission Barriers: A Dual‐Functional Adhesive Hydrogel for Direct Monkeypox Virus Neutralization and Wound Healing

Advanced Science, EarlyView.
MPXV infection leads to persistent viral replication and severe local inflammation, while existing treatments cannot simultaneously remove viruses and repair injured tissue. This study constructs Polymer@mPDA@Gel hydrogel via a two‐step hierarchical assembly method: mPDA anchors photothermal polymers to form antiviral photothermal subunits, which are ...
Ming Zhang, Jiaxin Tian, Xiaolong Zhu, Xiao Li, Xiangshu Qiu, Yuanyuan Li, Ben Zhong Tang, Ning Shi   +7 more
wiley   +1 more source

Effects of corn oil ingestion on the intestinal mucosa of normal dogs. [PDF]

Front Vet Sci
An SJ, Kim YJ, Hong IH, Jung DI.
europepmc   +1 more source

Effects of faecal microbiota transplantation on the small intestinal mucosa in systemic sclerosis. [PDF]

Rheumatology (Oxford), 2023
Strahm N, Didriksen H, Fretheim H, Molberg Ø, Midtvedt Ø, Farstad IN, Midtvedt T, Lundin KEA, Aabakken L, Błyszczuk P, Distler O, Kania G, Hoffmann-Vold AM.   +12 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source