Defective FGFR1 Signaling Disrupts Glucose Regulation: Evidence From Humans With FGFR1 Mutations.

Context: Activation of fibroblast growth factor receptor 1 (FGFR1) signaling improves the metabolic health of animals and humans, while inactivation leads to diabetes in mice. Direct human genetic evidence for the role of FGFR1 signaling in human metabolic health has not been fully established. Objective: We hypothesized that individuals with naturally occurring FGFR1 variants ("experiments of nature") will display glucose dysregulation. Methods: Participants with rare FGFR1 variants and noncarrier controls. Using a recall-by-genotype approach, we examined the ß-cell function and insulin sensitivity of 9 individuals with rare FGFR1 deleterious variants compared to 27 noncarrier controls, during a frequently sampled intravenous glucose tolerance test at the Reproductive Endocrine Unit and the Harvard Center for Reproductive Medicine, Massachusetts General Hospital. FGFR1-mutation carriers displayed higher ß-cell function in the face of lower insulin sensitivity compared to controls. Conclusion: These findings suggest that impaired FGFR1 signaling may contribute to an early insulin resistance phase of diabetes pathogenesis and support the candidacy of the FGFR1 signaling pathway as a therapeutic target for improving the human metabolic health.

Estimation of Age implementing pulp tooth volume ratio in maxillary canines of an Indian population by means of CBCT scans.

BACKGROUND: Forensic odontology is a subfield of forensics that can assist in determining age, gender, and other demographic factors. OBJECTIVE: The focus of this research is to ascertain age by tooth volume ratio of permanent maxillary canines using a CBCT scan. METHODS: In this retrospective investigation, 1000 CBCT images were gathered and focused on only fully developed maxillary canines. For each of the maxillary canines, the researchers measured and calculated the volume of the pulp chamber, root canal, and entire tooth using the ITK Snap programme. The pulp volume to tooth volume ratio was computed. The equation AGE = 59.208 - (583.652 x pulp volume/tooth volume) was then used to compute age. The samples were divided into 5 age groups; 13-20, 21-30, 31-40, 41-50, and 51-60. The age was calculated for samples in each group and it was compared to the actual age. RESULTS: Between individuals' actual age and computed age, the study discovered a statistically significant positive association. While groups 3, 4, and 5 demonstrated positive but weaker correlations (r= 0.854, r= 0.658, and r= 0.612, respectively), groups 1 and 2 displayed statistically significant strong positive correlations (r= 0.987 and r= 0.923, respectively). The average total discrepancy between the age that was computed and the actual age was 2.45 1.344. CONCLUSION: The study found a statistically significant positive correlation between computed age and actual age, with the younger age groups 1 (13-20) and 2 (21-30) showing the strongest relationships. This underlines its potential success in court, particularly when dealing with young criminals.