IGF2BPs: a family as diagnostic and prognostic biomarkers in digestive system tumors

The highest morbidity and mortality in the world are attributed to digestive system tumors,such as stomach cancer,liver cancer,and pancreatic cancer.Exploring potential biomarkers is a crucial direction of tumor research.We use bioinformatics methods to explore potential biomarkers of the digestive system.Mining and analyzing data from Gene Expression Profiling Interactive Analysis(GEPIA),Kaplan-Meier,cBioPortal,and Metabolic gEne RApid Visualizer(MERAV)to explore the correlation between IGF2BP(insulin-like growth factor-2 mRNA-binding protein)family expression and immune infiltration in digestive system tumors,and further probe the prognostic value of IGF2BP family in digestive system tumors.Esophageal cancer tissues showed a significantly higher expression of IGF2BP2 than normal tissues,while IGF2BP3 was notably more expressed in esophageal cancer,pancreatic cancer,and stomach cancer.In the prognosis evaluation,the IGF2BP1 gene in patients with liver cancer and the IGF2BP2 and IGF2BP3 genes in patients with stomach cancer and liver cancer of the low gene expression level groups were better.Multivariate COX regression analysis further suggested that tumor stage,CD8 positive T cells,macrophages,dendritic cell infiltration,and IGF2BP3 expression were independent risk factors affecting the prognosis of patients with stem cell liver cancer.The IGF2BP family may be a potential marker for immunotherapy and the prognosis of digestive system tumors.

Recent advances in multimodal sensing integration and decoupling strategies for tactile perception

Human skin perceives external environmental stimulus by the synergies between the subcutaneous tactile corpuscles.Soft electronics with multiple sensing capabilities by mimicking the function of human skin are of significance in health monitoring and artificial sensation.The last decade has witnessed unprecedented development and convergence between multimodal tactile sensing devices and soft bioelectronics.Despite these advances,traditional flexible electronics achieve multimodal tactile sensing for pressure,strain,temperature,and humidity by integrating monomodal sensing devices together.This strategy results in high energy consumption,limited integration,and complex manufacturing process.Various multimodal sensors and crosstalk-free sensing mechanisms have been proposed to bridge the gap between natural sensory system and artificial perceptual system.In this review,we provide a comprehensive summary of tactile sensing mechanism,integration design principles,signal-decoupling strategies,and current applications for multimodal tactile perception.Finally,we highlight the current challenges and present the future perspectives to promote the development of multimodal tactile perception.

Oxygen uptake response to switching stairs exercise by non-parametric modeling

Oxygen uptake plays a crucial role in the evaluation of endurance performance during exercise and is extensively utilized for metabolic assessment. This study records the oxygen uptake during the exercise phase (i.e., ascending or descending) of the stair exercise, utilizing an experimental dataset that includes ten participants and covers various exercise periods. Based on the designed experiment protocol, a non-parametric modeling method with kernel-based regularization is generally applied to estimate the oxygen uptake changes during the switching stairs exercise, which closely resembles daily life activities. The modeling results indicate the effectiveness of the non-parametric modeling approach when compared to fixed-order models in terms of accuracy, stability, and compatibility. The influence of exercise duration on estimated fitness reveals that the model of the phase-oxygen uptake system is not time-invariant related to respiratory metabolism regulation and muscle fatigue. Consequently, it allows us to study the humans’ conversion mechanism at different metabolic rates and facilitates the standardization and development of exercise prescriptions.

Multifunctional high-performance pressure/proximity/temperature sensors enabled by hybrid resistive-supercapacitive response

The issue of sensitivity attenuation in high-pressure region has been a persistent concern for pressure-sensitive electronic skins.In order to tackle such trade-off between sensitivity and linear range,herein,a hybrid piezoresistive-supercapacitive(HRSC)strategy is proposed via introducing a piezoresistive porous aerogel layer between the charge collecting electrodes and iontronic films of the pressure sensors.Surprisingly,the HRSC-induced impedance regulation and supercapacitive behavior contribute to significant mitigation in sensitivity attenuation,achieving high sensitivity across wide linear range(44.58 kPa^(−1)from 0 to 3 kPa and 23.6 kPa^(−1)from 3 to 12 kPa).The HRSC pressure sensor exhibits a low detection limit of 1 Pa,fast responsiveness(~130 ms),and excellent cycling stability,allowing to detect tiny pressure of air flow,finger bending,and human respiration.Meanwhile,the HRSC sensor exhibits exceptional perception capabilities for proximity and temperature,broadening its application scenarios in prosthetic perception and electronic skin.The proposed HRSC strategy may boost the ongoing research on structural design of high-performance and multimodal electronic sensors.