Sea Buckthorn Oil Promotes the PI3K-Akt-ERK Signaling Pathway and Macrophage M2 Polarization to Reduce Radiation-induced Skin Injury.

In this work, we explored the role and mechanism of sea buckthorn oil in reducing radiation-induced skin damage. The radiation-induced rat skin injury model was established using strontium-90. Rats were treated with sea buckthorn oil twice a day postirradiation, and skin damage was observed at different times and evaluated using an injury score. Skin pathological changes were observed using hematoxylin and eosin (H&E) staining. Western blotting and immunohistochemistry were used to detect the expression of vascular growth and pathway proteins. ELISA was used to detect the secretion level of inflammatory factors. Immunohistochemistry was used to detect macrophage polarization marker proteins. We found that sea buckthorn oil can alleviate radiation-induced skin damage, accelerate skin vascular regeneration, and promote the up-regulation of vascular endothelial growth factor (VEGF) and its receptor (VEGFR). These results demonstrate the beneficial effects of sea buckthorn oil on radiation-induced skin damage. Furthermore, the levels of IL-1ß and TNF-α in the sea buckthorn oil treatment group were significantly lower than those in the control group, while the levels of IL-4 and IL10 were significantly higher (P < 0.05). CD206 expression also increased in the sea buckthorn oil treatment group, while CD16 expression decreased compared to the control group (P < 0.05). Western blotting showed that PI3K, Akt and ERK expression increased in the sea buckthorn oil treatment group (P < 0.05). The beneficial effect of sea buckthorn oil in reducing the inflammatory response in irradiated rats was diminished when they were treated with PI3K inhibitor. We conclude that sea buckthorn oil may regulate macrophage M2 polarization by increasing the PI3K-Akt-ERK signaling pathway, thereby inhibiting the inflammatory response and promoting skin vascular regeneration to prevent and treat radiation-induced skin damage.

Predictive Value of Serum microRNA-29b-3p in Recurrence of Atrial Fibrillation After Radiofrequency Catheter Ablation.

Objective: Atrial fibrillation (AF) is a common arrhythmia. This study explored serum miR-29b-3p expression in AF patients and its value in predicting AF recurrence after radiofrequency catheter ablation (RFCA). Methods: Totally 100 AF patients who underwent RFCA were enrolled, with 100 individuals without AF as controls. Serum miR-29b-3p expression in participants was determined using RT-qPCR. The correlation between miR-29b-3p and atrial fibrosis markers (FGF-21/FGF-23) was assessed by Pearson analysis. The diagnostic efficacy of serum miR-29b-3p and FGF-21/FGF-23 in predicting AF recurrence after RFCA was analyzed by the receiver operating characteristic (ROC) curves. The Kaplan-Meier method was adopted to evaluate the effect of miR-29b-3p expression on the incidence of AF recurrence after RFCA. The independent risk factors for AF recurrence after RFCA were analyzed by logistic regression analysis. Results: Serum miR-29b-3p was poorly expressed in AF patients. After RFCA, AF patients showed elevated serum miR-29b-3p expression. Serum miR-29b-3p expression in AF patients negatively correlated with serum FGF-21 and FGF-23 concentrations. The cut-off values of serum miR-29b-3p, FGF-21, and FGF-23 in identifying AF recurrence were 0.860 (sensitivity: 100.00%, specificity: 39.71%), 222.2 pg/mL (sensitivity: 96.88%, specificity: 32.35%) and 216.3 ng/mL (sensitivity: 53.13%, specificity: 70.59%), respectively. Patients with low miR-29b-3p expression had a significantly higher incidence of AF recurrence than patients with high miR-29b-3p expression. Serum miR-29b-3p expression was one of the independent risk factors for AF recurrence after RFCA. Conclusion: Low miR-29b-3p expression in AF patients has certain predictive values and is one of the independent risk factors for AF recurrence after RFCA.

Variational Entanglement-Assisted Quantum Process Tomography with Arbitrary Ancillary Qubits.

Quantum process tomography is a pivotal technique in fully characterizing quantum dynamics. However, exponential scaling of the Hilbert space with the increasing system size extremely restrains its experimental implementations. Here, we put forward a more efficient, flexible, and error-mitigated method: variational entanglement-assisted quantum process tomography with arbitrary ancillary qubits. Numerically, we simulate up to eight-qubit quantum processes and show that this tomography with m ancillary qubits (0≤m≤n) alleviates the exponential costs on state preparation (from 4^{n} to 2^{n-m}), measurement settings (at least a 1 order of magnitude reduction), and data postprocessing (efficient and robust parameter optimization). Experimentally, we first demonstrate our method on a silicon photonic chip by rebuilding randomly generated one-qubit and two-qubit unitary quantum processes. Further using the error mitigation method, two-qubit quantum processes can be rebuilt with average gate fidelity enhanced from 92.38% to 95.56%. Our Letter provides an efficient and practical approach to process tomography on the noisy quantum computing platforms.