Results 171 to 180 of about 922,149 (303)

Prenatal Exposure to Artificial Light at Night and the Offspring's First 1000-Day Growth: A Prospective Metabolomic and Gene-Environment Interaction Study. [PDF]

Environ Sci Technol
Jiang W, Han A, Huang Y, Yuan Z, Xu J, Zhang J.   +5 more
europepmc   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction. [PDF]

PLoS Genet
Gauderman WJ, Fu Y, Queme B, Kawaguchi E, Wang Y, Morrison J, Brenner H, Chan A, Gruber SB, Keku T, Li L, Moreno V, Pellatt AJ, Peters U, Samadder NJ, Schmit SL, Ulrich CM, Um C, Wu A, Lewinger JP, Drew DA, Mi H.   +21 more
europepmc   +1 more source

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

Aging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey, Murilo Ramos Rocha, Cheyenne Palm, Vania Wang, Denys Balandin, Ethan Black, Kevin Y. Zhang, Fan Huang, Daniel J. Zabransky, Yash Chhabra, Mareike Peters, Gabriel Ghiaur, Ashani Weeraratna   +12 more
wiley   +1 more source

Gene-Environment Interaction Affects Risk of Atopic Eczema: Population and In Vitro Studies. [PDF]

Allergy
Standl M, Budu-Aggrey A, Johnston LJ, Elias MS, Arshad SH, Bager P, Bataille V, Blakeway H, Bønnelykke K, Boomsma D, Brumpton BM, Bustamante Pineda M, Campbell A, Curtin JA, Eliasen A, Fadista JPS, Feenstra B, Gerner T, Medina-Gomez C, Grosche S, Gutzkow KB, Halling AS, Hayward C, Henderson J, Herrera-Luis E, Holloway JW, Hottenga J, O'B Hourihane J, Hu C, Hveem K, Irizar A, Jacquemin B, Jessen L, Kress S, Kurukulaaratchy RJ, Lau S, Llop S, Løset M, Marenholz I, Mason D, McCartney DL, Melbye M, Melén E, Minica C, Murray CS, Nijsten T, Pardo LM, Pasmans S, Pennell CE, Rinnov MR, Santorelli G, Schikowski T, Sheehan D, Simpson A, Söderhäll C, Thomas LF, Thyssen JP, Torrent M, van Beijsterveldt T, Visconti A, Vonk JM, Wang CA, Xu CJ, Ziyab AH, UK Translational Research Network in Dermatology, BIOMAP Consortium, Custovic A, Di Meglio P, Duijts L, Flohr C, Irvine AD, Koppelman GH, Lee YA, Reynolds NJ, Smith C, Langan SM, Paternoster L, Brown SJ.   +77 more
europepmc   +1 more source

Gene-environment interaction analysis under the Cox model. [PDF]

Ann Inst Stat Math, 2023
Fang K, Li J, Xu Y, Ma S, Zhang Q.
europepmc   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model. [PDF]

Bioinformatics
Li J, Xu Y, Ma S, Fang K.
europepmc   +1 more source

Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies. [PDF]

Bioinformatics, 2023
Pham DT, Westerman KE, Pan C, Chen L, Srinivasan S, Isganaitis E, Vajravelu ME, Bacha F, Chernausek S, Gubitosi-Klug R, Divers J, Pihoker C, Marcovina SM, Manning AK, Chen H.   +14 more
europepmc   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source