There is a bidirectional association between tumor-associated macrophage (TAM) and colorectal cancer. Small molecular substances metabolized by colorectal cancer affect the reprogramming of TAM, and TAM in turn regulates the biological behavior of colorectal cancer cells by secreting small molecular substances, and promotes the progression of colorectal cancer. In addition, gut microbiota metabolites are closely related to TAM reprogramming, and intestinal flora imbalance leads to gut barrier damage, favoring bacterial translocation and causing chronic tumorigenic inflammation. Studying the reprogramming mechanism affecting TAM and its relationship with the occurrence and development of colorectal cancer may provide new ideas for the study of immunotherapy in patients with colorectal cancer. This article reviews the research progress of TAM in patients with colorectal cancer, aims to provide a reference for clinical research.
Breathing pattern parameters refer to the characteristic pattern parameters of respiratory movements, including the breathing amplitude and cycle, chest and abdomen contribution, coordination, etc. It is of great importance to analyze the breathing pattern parameters quantificationally when exploring the pathophysiological variations of breathing and providing instructions on pulmonary rehabilitation training. Our study provided detailed method to quantify breathing pattern parameters including respiratory rate, inspiratory time, expiratory time, inspiratory time proportion, tidal volume, chest respiratory contribution ratio, thoracoabdominal phase difference and peak inspiratory flow. We also brought in “respiratory signal quality index” to deal with the quality evaluation and quantification analysis of long-term thoracic-abdominal respiratory movement signal recorded, and proposed the way of analyzing the variance of breathing pattern parameters. On this basis, we collected chest and abdomen respiratory movement signals in 23 chronic obstructive pulmonary disease (COPD) patients and 22 normal pulmonary function subjects under spontaneous state in a 15 minute-interval using portable cardio-pulmonary monitoring system. We then quantified subjects’ breathing pattern parameters and variability. The results showed great difference between the COPD patients and the controls in terms of respiratory rate, inspiratory time, expiratory time, thoracoabdominal phase difference and peak inspiratory flow. COPD patients also showed greater variance of breathing pattern parameters than the controls, and unsynchronized thoracic-abdominal movements were even observed among several patients. Therefore, the quantification and analyzing method of breathing pattern parameters based on the portable cardiopulmonary parameters monitoring system might assist the diagnosis and assessment of respiratory system diseases and hopefully provide new parameters and indexes for monitoring the physical status of patients with cardiopulmonary disease.