Results 161 to 170 of about 389,997 (312)

Single‐Cell Analysis Clarifies Pathological Heterogeneity in Tenosynovial Giant Cell Tumor and Identifies Biomarkers for Predicting Disease Recurrence

open access: yesAdvanced Science, EarlyView.
MP3 tumor cells, a specific subpopulation of tumor cells in D‐TGCT, regulated the differentiation of CD34+ Fbs into MMP3+ Fbs and APOE+ Fbs through COL6A3 − (ITGAV + ITGB8) interaction. APOE+ Fbs activated IL‐1B+CCL20+ Mφs through the CXCL12/CXCR4 axis. IL‐1B+CCL20+ Mφs and MMP3+ Fbs participated in the local invasion of D‐TGCT.
Yubin Xie   +15 more
wiley   +1 more source

Exercise without Weight Loss Prevents Seasonal Decline in Vitamin D Metabolites: The VitaDEx Randomized Controlled Trial

open access: yesAdvanced Science, EarlyView.
In people with overweight or obesity, regular exercise even without weight loss or vitamin D supplementation completely prevents the usual winter decline in the vitamin D metabolite that maintains health at a cellular level, 1,25(OH)2D3, and ameliorates the decline in the vitamin D status marker 25(OH)D.
Oliver J. Perkin   +11 more
wiley   +1 more source

The Outcome of Pregnancy

open access: yesAnnals of Saudi Medicine, 1989
openaire   +2 more sources

Comprehensive Characterization of Bihormonal Cells and Endocrine Cell Lineages in Mammalian Pancreatic Islets

open access: yesAdvanced Science, EarlyView.
This study integrates dual‐reporter genetics, imaging flow cytometry, and single‐cell sequencing to characterize rare bihormonal cells in mouse and human pancreatic islets. Gcg⁺Ins⁺ cells resemble α‐cells rather than transitional states. Cross‐species gene network analysis refines islet cell taxonomy and reveals human‐specific δ‐cell subtypes ...
Xin‐Xin Yu   +10 more
wiley   +1 more source

Maternal gut microbiota influences immune activation at the maternal-fetal interface affecting pregnancy outcome. [PDF]

open access: yesNat Commun
Giugliano S   +8 more
europepmc   +1 more source

Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large‐Scale Multicenter Study

open access: yesAdvanced Science, EarlyView.
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin   +17 more
wiley   +1 more source

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