Traditional Medicine and Modern Medicine

With the transformation of health concepts and medical models, traditional medicine is receiving more and more attention from people all over the world. Traditional medicine has become an important part of health promotion and global health management improvement. This paper briefly describes the connotation and development trend of traditional medicine in the new era from the perspective of philosophical theory. Through a thorough analysis of the rational thinking and realistic basis for the integration and development of traditional medicine in the new era from the perspectives of time, space, content and technology, we come to the conclusion that, under the modern medical model supported by Big Health and Big Data, the deepening and improvement of the consolidation of multi-dimensional integration and multi-collaborative system of traditional medicine will play a more fundamental role in mankind’s health and hygiene. This paper also presents the paths of integrative development for the traditional medicine under the new circumstances, aiming to provide theoretical ideas for further promoting the systematic development of traditional medicine and helping the revival of traditional Chinese medical civilization.

Chronic obstructive pulmonary disease (COPD) has become an important public health problem in the world. According to reports, COPD ranks fourth in the global cause of death, causing a serious economic burden on society. The pathogenesis of COPD is complex, making it difficult to simulate the pathological changes and clinical features of COPD. Moreover, the COPD animal model has an irreplaceable role in the study of etiology, pathology and treatment. It is worth noting that the risk factors for chronic obstructive pulmonary disease persist, and the economic burden of global chronic obstructive pulmonary disease is expected to continue to increase in the coming decades. Establishing a standardized, a clinically realistic COPD animal model has always been a research direction that scholars are keen on. Therefore, it is essential to establish an economical animal model. The establishment of a suitable animal model can accurately simulate the pathological features of human chronic obstructive pulmonary disease and help to develop effective interventions and treatments in a short period of time. This review integrates the experimental animal species selected in the animal models used in COPD studies. Subsequently, different methods and mechanisms for establishing animal models were summarized according to different modeling factors. Finally, the criteria for evaluating existing animal models are discussed. It is hoped that the summary of this paper will guide the establishment of relevant animal models for future COPD research.

Gastric cancer (GC) is one of the most commonly diagnosed malignancies worldwide, and is caused by complex interactions of multiple risk factors such as environmental (Helicobacter pylori and Epstein–Barr Virus), hereditary (genetic alterations and epigenetic modifications), as well as dietary and lifestyle factors. GC is usually detected at an advanced stage, with a dismal prognosis. Even for patients with similar clinical or pathologic stage receiving similar treatment, the outcomes are still uneven and unpredictable. To better incorporate genetic and epigenetic profiles into GC prognostic predication, gene expression signatures have been developed to predict GC outcomes. More recently, the advancement of high-throughput sequencing technology, also known as next-generation sequencing (NGS) technology, and analysis has provided the basis for accurate molecular classification of GC tumors. Here, we summarized and updated the literature related to NGS studies of GC, including whole-genome sequencing, whole-exome sequencing, RNA sequencing, and targeted sequencing, and discussed current progresses. NGS has facilitated the identification of genetic/epigenetic targets for screening as well as development of targeted agent therapy, thus enabling individualized patient management and treatment.

Background: The objective of this study was to evaluate (1) the association of blood pressure (BP) profiles and glucose profiles with diabetic retinopathy (DR) and (2) the interaction between BP profiles and glucose profiles in DR in a Chinese sample.

Methods: This was a cross-sectional study of 984 DR patients. Demographic data, BP profiles, glucose profiles, renal function parameters, and medical histories were recorded. All the participants underwent testing for DR with digital nonmydriatic fundus photography and image analysis, using a standardized protocol. A multiple variable logistic regression (MLR) was employed to detect the associations and interactions of BP profiles and glucose profiles with DR.

Results: Systolic blood pressure (SBP) and glycated hemoglobin (HbA1c) were significantly correlated with DR ($P=0.006$ for SBP, $\mathrm{\text{OR}}=3.095$; $P=0.002$ for HbA1c, $\mathrm{\text{OR}}=2.348$). An interaction between SBP and HbA1c was detected in a multiple logistic regression (MLR) model after adjustment for relevant potential confounders ($P=0.047$, $\mathrm{\text{ORinter}}=0.575$).

Conclusion: The present study suggested that SBP and HbA1c were independently and significantly associated with DR and that SBP interacted with HbA1c to impact on DR.

Objective: To evaluate the clinical effect of Üstikuddus sherbiti (US), a traditional herbal prescription of Uyghur medicine, in the treatment of cold and dry-type major depression disorder (MDD) patients with comorbid anxiety.

Methods: A total of 150 cold and dry-type depressive patients with comorbid anxiety were randomly divided into three groups of 50 patients; then they were, respectively, treated with US, modern medicine Fluoxetine, and the combination of Fluoxetine and US. The depression degrees of patients were evaluated zero and six weeks after the treatment based on the Hamilton Anxiety Scale (HAMA), in the clinical study. Analysis of variance (ANOVA) was used to detect significant differences at various time points or among the three groups. Statistical analysis was performed by SPSS version 21.0.

Results: The main results are as follows: After taking the medicine, the depressive condition of patients with comorbid anxiety in the three groups was getting better with the passage of time; particularly, the clinical efficacy of US combined with Fluoxetine was significantly improved, indicating that the effect of combined treatment is better than treatment with pure Fluoxetine or pure US treatment. Statistical difference exists between the end time point within groups, but not among the three groups. Moreover, in the detection process of the patient’s physical indicators, no obvious side effects were found. These results together suggested that US can strengthen the curative effect of modern medicine in the treatment of depression, which would lay a foundation for studying the molecular mechanism and potential target of US.

Conclusion: Fluoxetine and US combination therapy played a significant role in the treatment of depressive symptoms, suggesting that it can improve the curative effect of depression. The study provided a new way of thinking to clarify the US molecular mechanism for the treatment of depression and potential target.

Objective: The anti-asthma herbal medicine Bu–Shen–Yi–Qi Decoction (BSYQ Decoction), a combination of three traditional Chinese medicine herbs developed in our lab, has shown demonstrated efficacy in Ovalbumin (OVA)-induced acute bronchial asthma. However, the obscure substances, multiple potential targets and the unclear molecular mechanisms are obstacles to control drug quality, stability and standardization. Multi-component formulae with a clear pharmacodynamic material and specific mechanism are an innovation worth exploring. They may also partly reserve a potential synergistic and additive effect compared with single components extracted from traditional Chinese herbs. This study was designed to select three standard multi-component formulae of the combination of effective components preliminarily based on four effective components [total flavonoids of Herba Epimedii ($A)$; Astragalus polysaccharide ($B)$; Astragaloside ($C)$; and Catalpol ($D)$] in BSYQ Decoction.

Methods: OVA-induced asthmatic murine models were established. A uniform design was applied to select 10 proportions from four target components, and 3 formulae which showed best effect aimed at IFN-$\gamma$, IL-4 and IgE in the serum respectively were screened based on stepwise regression analysis.

Results: According to the regression analysis, Formula I ($A$:$B$:$D=5$:6:29), Formula II ($A$:$C$:$D=250$:8:2) and Formula III ($A$:$B$:$C$:$D=250$:50:8:2) are the three potential proper ratios for the new multi-component formula aimed at serum IFN-$\gamma$, IL-4 and IgE in OVA-induced asthma mice, respectively.

Conclusion: Three multi-component formulae derived from BSYQ Decoction could exert anti-inflammatory effect against OVA-induced asthma, which might provide evidences and lay foundations for further study of standard modern Chinese drug for treating asthma based on BSYQ Decoction.