Results 231 to 240 of about 3,895,024 (310)

Knowledge, Attitudes, and Perceptions of Neurodevelopmental Disorders Among Pregnant Women in Resource-Limited Settings: A Cross-Sectional Study. [PDF]

Health Sci Rep
Mekuriaw BY, Abeje T, Gashaw A, Tesfaye B, Belay G, Kassaw C.   +5 more
europepmc   +1 more source

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

FEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda, Satoru Sugimoto, Chiharu Cho, Madoka Konishi, Nozomi Inoue, Satoshi Miyagaki, Yasuhiro Kawabe, Takuro Okamura, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Masakazu Shinohara, Tomoko Iehara   +12 more
wiley   +1 more source

Newborn hearing screening: outcomes and management of infants. [PDF]

Rev Assoc Med Bras (1992)
Bozkurt HK, Öçal FCA, Karababa E, Balaban AN, Akbaş RN, Kes ÖÖ, Aydın E.   +6 more
europepmc   +1 more source

Identification of functional murine mitochondrial formyl peptides and their effects on myeloid‐derived suppressor cell generation

FEBS Open Bio, EarlyView.
We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa, Saori Kagoshima, Akira Yamada   +2 more
wiley   +1 more source

Unveiling the hidden burden: Common mental disorders among women attending antenatal care in selected health facilities of Lusaka, Zambia. [PDF]

PLOS Ment Health
Jacobs C, Nkhowani J, Ngosa D, Shanaube K, Sandøy IF.   +4 more
europepmc   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Increasing incidence and severity of childhood-onset type 1 diabetes in Latvia during the COVID-19 pandemic. [PDF]

Front Pediatr
Braivo L, Truškova V, Lavrenova A, Ķīvīte-Urtāne A, Pavāre J, Dzīvīte-Krišāne I.   +5 more
europepmc   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Utilizing generative artificial intelligence to create simulated patient for history taking in gynecology. [PDF]

BMC Med Educ
Gao L, Zhang L, Zhang Y, Wu M, Xu J, Lu D.   +5 more
europepmc   +1 more source