Results 161 to 170 of about 39,956 (278)

Challenges and solutions in the treatment of spinal disorders in patients with skeletal dysplasia: A comprehensive review. [PDF]

World J Methodol
Tsirikos AI, Jain A, Ahuja K.
europepmc   +1 more source

Molecular Basis and Clinical Spectrum of WNT10A‐Related Oligodontia

Clinical Genetics, Volume 110, Issue 1, Page 3-14, July 2026.
Cellular Mechanism behind WNT10A phenotypes. ABSTRACT WNT10A mutations, a major genetic determinant of dental agenesis and ectodermal dysplasia, exert profound effects on craniofacial development. Although classified as rare disorders, these mutations account for more than half of oligodontia cases, reflecting their critical role.
Perennes Elise, Benkirane‐Jessel Nadia, Anton Nicolas, Vandamme Thierry, Clauss François, Conzatti Guillaume   +5 more
wiley   +1 more source

Exposure to polylactic acid microplastics during puberty increases the risk of skeletal dysplasia by disrupting arachidonic acid metabolism in osteoblasts. [PDF]

Part Fibre Toxicol
Zhang Y, Cai Z, Luo X, Chen H, Zhang X, Pan C.   +5 more
europepmc   +1 more source

Periodontitis and Periodontal Conditions in Systemically Healthy Children and Adolescents

Journal of Clinical Periodontology, Volume 53, Issue 7, Page 1100-1198, July 2026.
ABSTRACT Objective To answer the PICoS question ‘in systemically healthy children and adolescents (Population), what are the main features of periodontitis, necrotising periodontal diseases (NPD) and other periodontal conditions (periodontal abscesses, endo‐periodontal lesions, traumatic occlusal forces, prosthesis‐ and tooth‐related factors ...
Inbar Eshkol‐Yogev, Nagore Ambrosio, Cheryl Somani, Elena Figuero, Lior Shapira, Janet Davies   +5 more
wiley   +1 more source

Genetic analysis of fetal skeletal dysplasia via whole exome sequencing and non-invasive prenatal diagnosis. [PDF]

Ann Med
Wang L, Zhang Y, Zheng F, Dong H, Zhu X, Jia C, Zhang B.   +6 more
europepmc   +1 more source

Retinoic Acid Informs the Positional Identity of Frontonasal Neural Crest Cells Through Alx Family of Transcription Factors

The FASEB Journal, Volume 40, Issue 12, 30 June 2026.
Retinoic acid (RA) regulates the positional identity of cranial neural crest cells (CNCCs) through the transcription factors Alx1 and Alx4. Upon receiving RA from the local environment, liganded RAR/RXR heterodimers activate the expression of Alx1 and Alx4, which promote the frontonasal identity of CNCCs and inhibit the first pharyngeal arch identity ...
Shuxuan Wu, Yifan Lu, Yixin Tu, Yuke Xi, Qianxue Wan, Minghui Yue, Huan Liu, Zhaoming Wu   +7 more
wiley   +1 more source

Case Report: Constraint led strength and conditioning for Paralympic throwers with skeletal dysplasia. [PDF]

Front Sports Act Living
Judge LW, Garcia-Carrillo E.
europepmc   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, Volume 20, Issue 6, Page 1494-1512, June 2026.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

A missing enzyme-rescue metabolite as cause of a rare skeletal dysplasia. [PDF]

Nature
Jacobs J, Lyubenova H, Potelle S, Kopp J, Gerin I, Chan WL, Rodriguez de Los Santos M, Hülsemann W, Mensah MA, Cormier-Daire V, Joosten M, Bruggenwirth HT, Stuurman KE, Miranda V, Campeau PM, Wittler L, Graff J, Mundlos S, Ibrahim DM, Van Schaftingen E, Fischer-Zirnsak B, Kornak U, Ehmke N, Bommer GT.   +23 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source