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Background: Tongue diagnosis is a crucial traditional Chinese medicine (TCM) inspection method for TCM syndrome differentiation and treatment., Objective: The primary research focus was on tongue image characteristic parameters of patients with non-small cell lung cancer (NSCLC). Analysis of the tongue image parameters of various pathological stages of NSCLC provides technical support for establishing an integrated Chinese and Western auxiliary diagnosis and efficacy evaluation medicine system for lung cancer that integrates tongue image features., Methods: Tongue image characteristics of 309 patients with NSCLC and 206 controls were collected and analyzed clinically. The T-test or rank sum test and logistic regression analysis were applied to analyze the characteristics of tongue image indicators of different pathological stages of NSCLC., Results: There were differences in tongue image characteristics in the NSCLC group compared to the control group. The tongue quality and brightness of the tongue coating in the NSCLC group increased, the red component was reduced, the tongue coating thickened, and the yellow component increased compared to the healthy control group. A comparison of tongue image indexes of NSCLC in different pathological stages showed that stage IV had lower TB-b and higher TB-a than stage I. In addition, stage IV had lower TB-b than stage II + III, showing an increase in the blue and red components of the tongue in stage IV and the appearance of cyanotic tongue features., Conclusion: The tongue image characteristics of NSCLC patients differed from those of the control group. Tongue imaging indicators can reflect the characteristics of tongue images of patients with NSCLC. The tongue image characteristics of patients with stage IV lung cancer are bluish and purple compared with those with stage I, II, and III. It is suggested that the tongue's image characteristics can be used as a reference for the pathological classification of NSCLC and judgment of the disease process.

Objective: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective reference for clinical application of pulse diagnosis in traditional Chinese medicine (TCM)., Method: The basic information from 450 hypertensive cases and 479 healthy cases was collected by self-developed H20 questionnaires and pulse wave information was acquired by self-developed pulse diagnostic instrument (PDA-1). H20 questionnaires and pulse wave information were used as input variables to obtain different machine learning classification models of hypertension. This method was aimed at analyzing the influence of pulse wave on the accuracy and stability of machine learning model, as well as the feature contribution of hypertension model after removing noise by K-means., Result: Compared with the classification results before removing noise, the accuracy and the area under the curve (AUC) had been improved. The accuracy rates of AdaBoost, Gradient Boosting, and Random Forest (RF) were 86.41%, 86.41%, and 85.33%, respectively. AUC were 0.86, 0.86, and 0.85, respectively. The maximum accuracy of SVM increased from 79.57% to 83.15%, and the AUC stability increased from 0.79 to 0.83. In addition, the features of importance on traditional statistics and machine learning were consistent. After removing noise, the features with large changes were h1/t1, w1/t, t, w2, h2, t1, and t5 in AdaBoost and Gradient Boosting (top10). The common variables for machine learning and traditional statistics were h1/t1, h5, t, Ad, BMI, and t2., Conclusion: Pulse wave-based diagnostic method of hypertension has significant value in reference. In view of the feasibility of digital-pulse-wave diagnosis and dynamically evaluating hypertension, it provides the research direction and foundation for Chinese medicine in the dynamic evaluation of modern disease diagnosis and curative effect.

Objective: Use laser confocal microscopy overspeed camera technique and fluorescence albumin labeling to study the acting mechanism of Qishen Yiqi Drop Pill (QYDP) for intervening irido-microangiopathy (IMAP) in diabetic rats., Methods: Rat model of diabetes mellitus type 1 (DM1) was established by intraperitoneal injection of streptozocin (STZ). The model rats were randomly divided into three groups, the treatment group, the model group and the control group. At the same time a normal control group was set up. The treatment group was medicated with QYDP (prepared into liquid form), and the control group with Duobeisi liquor (1 g/kg per day) for 10 months. The dynamic state of iris microcirculation in rats was observed using laser confocal microscopy overspeed camera., Results: Compared with the treatment group, blood flow in iris of model rats was slower significantly (P < 0.01); the fluorescence density and leakage area of inside and outside iris vessels, and the iris vascular diameter were significantly higher in the model group than those in the treatment group (P < 0.01)., Conclusion: QYDP has definite effect in improving iris microcirculation, which can accelerate the blood flow, inhibit the abnormal expansion of vessels and improve the increased iris micro-vascular permeability.

Generally, only B lymphocytes express immunoglobulin. Recently, we found the expression of Ig alpha heavy chain in human epithelial cancer cells unexpectedly. We first detected Ig VDJ-Calpha and Ialpha-Calpha transcripts in multiple cancer cell lines. Further, the configuration of the Ig heavy chain genomic locus was analyzed in human cancer cells. We found that cancer cells have the recombination VDJ region, but bear Ig Salpha region in germline configuration, which is different from Ig expression pattern in B cells. And human epithelial cancers possess the essential effectors including RAG-1 and RAG-2, but not activation induced cytidine deaminase (AID) protein. These provide further proofs for Ig alpha expression. In addition, we found that human cancer cells not only express the protein of Ig alpha chain, but also secrete the protein in secretory IgA (SIgA) pattern. Importantly, diverse CDR3 recombinations were found in human cancer cells of different epithelial origin. Since IgA is the key immunoglobulin which contributes to local immunity of mucous membrane, the aberrant expression of Ig alpha heavy chain might increase our further comprehension to development and immunity of cancers.

B lymphocytes are generally considered to be the only source of immunoglobulins. However, increasing evidence revealed that some human epithelial cancer cell lines, including nasopharyngeal carcinoma (NPC) cell lines, expressed immunoglobulins. Moreover, we previously found that expression of kappa light chain in NPC cells could be upregulated by EBV-encoded latent membrane protein 1 (LMP1). Here, Western blot and flow cytometric analysis of intracellular kappa staining indicated that upregulation of the expression of kappa was inhibited by using LMP1-targeted DNAzyme and that Bay11-7082 and SP600125, inhibitors of JNK and NF-kappaB, respectively, inhibited LMP1-augmented kappa light chain expression in NPC cells. LMP1-positive NPC cells expressing the dominant-negative mutant of IkappaBalpha (DNMIkappaBalpha) or of c-Jun (TAM67) exhibited significantly decreasing kappa production compared with their parental cells. These results suggest that LMP1 elevated kappa light chain through activation of the NF-kappaB and AP-1 signaling pathways. The present study provided some hints of possible mechanisms by which human cancer cells of epithelial origin produced immunoglobulins.