BACKGROUNDWe investigated whether and to what extent the ratio between circulating fibrinogen (Fg) and its degradation products (FDP) reflects the severity of coronary artery disease (CAD) in type 2 diabetic patients.

METHODSPlasma levels of Fg and FDP were determined, and Fg/FDP ratio was calculated in 344 consecutive patients with type 2 diabetes and chest pain on exertion undergoing coronary angiography. The severity of CAD was evaluated by the number of significant CAD (>50% luminal diameter narrowing) and Gensini score.

RESULTSPlasma Fg was higher, but Fg/FDP ratio was lower in patients with significant CAD (n = 255) compared with those without (n = 89), due to a disproportionate increase in FDP. Fg and FDP correlated positively, while Fg/FDP ratio negatively, with the number of diseased coronary arteries and the tertile of Gensini score (all P values for trend < 0.01). After adjusting for age, sex, risk factors for CAD, lipid profiles, glycosylated hemoglobin A1c, creatinine, leukocyte count, and high-sensitivity C-reactive protein, Fg/FDP ratio remained an independent determinant for multivessel coronary disease (MVD) (odds ratio [OR], 0.869; 95% confidence interval [CI], 0.788-0.958, P = 0.005) and high tertile of Gensini score (OR, 0.797, 95% CI, 0.682-0.930, P = 0.004). The area under the curve of Fg/FDP ratio was larger than that of Fg for predicting the presence of MVD (0.647 vs. 0.563, P = 0.048) and Gensini score ≥ 30 (0.656 vs. 0.538, P = 0.026).

CONCLUSIONSElevated plasma Fg and FDP level and reduced Fg/FDP ratio are associated with presence of CAD, and Fg/FDP ratio is superior to Fg in reflecting severe coronary atherosclerosis for patients with type 2 diabetes.

Aged ; Coronary Angiography ; Coronary Artery Disease ; blood ; diagnosis ; metabolism ; Diabetes Mellitus, Type 2 ; blood ; metabolism ; Female ; Fibrin ; metabolism ; Fibrinogen ; metabolism ; Humans ; Male ; Middle Aged

As a kind of famous ornamental flowers, Moutan, known as "the king of flower", mainly originates from various cultivars of Paeonia suffruticosa. Moutan Cortex, a common traditional Chinese medicine, has a long medicinal history for more than 2 000 years. At present, "Fengdanpi", which is the root bark of P. ostii mainly growing in Tongling, Anhui, is a sort of Dao-di herbs in traditional Chinese medicine. However,various editions of Chinese pharmacopoeia has been stipulating that Moutan Cortex originates from the bark root of P. suffruticosa. Textual researches on germplasm of ornamental and medicinal Moutan provided that, Xi'an, Luoyang, Pengcheng, Bozhou, Heze and some other famous cultivation centers had been formed throughout the history. In addition, medicinal practitioners in Song Dynasty had been fully aware of the medicinal differences between ornamental and wild Moutan, and preferred wild single flowers as medicinal Moutan. Moreover, none of cultivation centers of ornamental Moutan were recorded in producing areas of medicinal Moutan. So far, Fengdan and Dianjiang Moutan in Chongqing are single flowers, which is consistent with the ancient herbal books. Therefore, this paper believes that the medicinal and ornamental Moutan are two different germplasm since ancient times. And we proposethat Chinese pharmacopoeia should record P. ostii and the single-flower varieties of P. suffruticosa as the original plants of Moutan Cortex.

Based on rDNA ITS sequences of Dendrobium officinale and the other 69 species of Dendrobium, a pair of dismatched allele-specific diagnostic primers, TPSH-AS1F and TPSH-AS1R were designed to authenticate D. officinale from the other species. Thebidirectional PCR amplification were performed using the diagnostic primers with the total DNAs of the original plants or processing products as a template. When the annealing temperature was raised to 60 ℃, only the template DNA of D. officinale could be amplified whereas the diagnostic PCRs of the other Dendrobium species were all negative. Compared with the other authentification methods, the bidirectional PCR amplifications is not only simpler and time-saving but practical and effective.

OBJECTIVETo study the diagnosis and treatment of renal cell carcinoma.

METHODFrom January 1993 to December 2000 the data of 271 cases of renal cell carcinoma were reviewed.

RESULTSUltrasonography and CT scanning were still the main diagnostic methods. Surgical operation was performed on 234 patients. Radical nephrectomy was performed on 197 patients (72.6%); Nephron sparing surgery was performed on 19 patients; Metastatic tumor resection was performed on 6 patients and other procedures for 12. The pathological results showed that 137 cases (61.4%) were clear cell carcinoma, 18 cases (8. 1%) of granular cell carcinoma, 32 cases (14. 3%) being combination of the above two varieties, 23 cases (10.3%) of renal papillary adenocarcinoma, 13 cases being renal cell of other types. And 210 cases (77.5%) had been successfully followed up. The 1, 3, 5 and 10 year survival rates were 95.3% (182/191), 88.7% (107/122), 74.7% (56/75) and 32.1% (10/31) respectively.

CONCLUSIONSUltrasonography is the first select examination method of detecting of renal cell carcinoma, and CT scanning is the most valuable diagnostic mean. Early diagnosis and prompt radical nephrectomy or nephron sparing nephrectomy are the critical points for achieving long-term survivals of patients with renal cell carcinoma.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Carcinoma, Renal Cell ; diagnosis ; surgery ; Child ; Female ; Follow-Up Studies ; Humans ; Kidney Neoplasms ; diagnosis ; surgery ; Male ; Middle Aged ; Nephrectomy ; methods ; Nephrons ; surgery ; Prognosis ; Retrospective Studies

Based on the "Zhong Guo Ben Cao Yao Ji Kao", Chinese herbalists in past dynasties were counted and analyzed by their living period,numbers and native places. Combined with GIS, the geographical distribution and the formation causes of the four distribution centers of herbalists in past dynasties were discussed. The results showed that, there was a greater difference between the numbers of herbalists in different periods of time, which achieved to the peak in the Ming and Qing Dynasties. In addition, the distribution of herbalists in past dynasties characterized east more and west less, forming the distribution areas centered by Huizhou, Shanghai, Hangzhou and Suzhou. Besides, the geographical distributions of Chinese herbalists showed an obvious southward trend since the Song Dynasty.

In this study, visual-near infrared(VNIR), short-wave infrared(SWIR), and VNIR + SWIR fusion hyperspectral data of Polygonatum cyrtonema from different geographical origins were collected and preprocessed by first derivative(FD), second derivative(SD), Savitzky-Golay smoothing(S-G), standard normalized variate(SNV), multiplicative scatter correction(MSC), FD+S-G, and SD+S-G. Three algorithms, namely random forest(RF), linear support vector classification(LinearSVC), and partial least squares discriminant analysis(PLS-DA), were used to establish the identification models of P. cyrtonema origin from three spatial scales, i.e., province, county, and township, respectively. Successive projection algorithm(SPA) and competitive adaptive reweighted sampling(CARS) were used to screen the characteristic bands, and the P. cyrtonema origin identification models were established according to the selected characteristic bands. The results showed that(1)after FD preprocessing of VNIR+SWIR fusion hyperspectral data, the accuracy of recognition models established using LinearSVC was the highest, reaching 99.97% and 99.82% in the province origin identification model, 100.00% and 99.46% in the county origin identification model, and 99.62% and 98.39% in the township origin identification model. The accuracy of province, county, and township origin identification models reached more than 98.00%.(2)Among the 26 characteristic bands selected by CARS, after FD pretreatment, the accuracy of origin identification models of different spatial scales was the highest using LinearSVC, reaching 98.59% and 97.05% in the province origin identification model, 97.79% and 94.75% in the county origin identification model, and 90.13% and 87.95% in the township origin identification model. The accuracy of identification models of different spatial scales established by 26 characteristic bands reached more than 87.00%. The results show that hyperspectral imaging technology can realize accurate identification of P. cyrtonema origin from different spatial scales.
Spectroscopy, Near-Infrared ; Polygonatum ; Algorithms ; Random Forest ; Least-Squares Analysis

The research on endophytes of medicinal plants mainly relies on the traditional culture and isolation methods. Because of their functions such as promoting host growth, improving stress resistance, promoting the accumulation of medicinal active ingredients or directly producing medicinal active ingredients, the endophytes of medicinal plants have gradually attracted wide attention. However, it was found that the strains isolated by traditional methods were not the true dominant endophytes of medicinal plants by comparing the results of traditional culture isolation with high-throughput sequencing. The blind and random nature of traditional methods leads to the lack of standards in terms of medium selection, culture time and interaction between species. On the contrary, high-throughput sequencing technology is an emerging molecular biology technology developed in recent decades. Due to its high resolution level and indepen-dent culture, it can be used for thorough analysis of the community structure and diversity of environmental microorganisms. Therefore, we proposed the strategy of using high-throughput sequencing technology to guide the traditional culture and isolation of endophytes from medicinal plants. Firstly, the endophytic structure and diversity of medicinal plants were completely clear by high-throughput sequencing technology, and the dominant endophytes of the host were unequivocal. Then according to the characteristics of each dominant endophytes design or query suitable medium for its growth to culture and isolation. Finally, the function of the isolates was studied. This method can prevent researchers from missing out on the important functional strains of the host, expand the research scope of endophytes of medicinal plants, and facilitate the in-depth excavation and utilization of endophytes of medicinal plants.
Endophytes/genetics* ; High-Throughput Nucleotide Sequencing ; Plants, Medicinal ; Research Design

To realize the non-destructive and rapid origin discrimination of Poria cocos in batches, this study established the P. cocos origin recognition model based on hyperspectral imaging combined with machine learning. P. cocos samples from Anhui, Fujian, Guangxi, Hubei, Hunan, Henan and Yunnan were used as the research objects. Hyperspectral data were collected in the visible and near infrared band(V-band, 410-990 nm) and shortwave infrared band(S-band, 950-2 500 nm). The original spectral data were divided into S-band, V-band and full-band. With the original data(RD) of different bands, multiplicative scatter correction(MSC), standard normal variation(SNV), S-G smoothing(SGS), first derivative(FD), second derivative(SD) and other pretreatments were carried out. Then the data were classified according to three different types of producing areas: province, county and batch. The origin identification model was established by partial least squares discriminant analysis(PLS-DA) and linear support vector machine(LinearSVC). Finally, confusion matrix was employed to evaluate the optimal model, with F1 score as the evaluation standard. The results revealed that the origin identification model established by FD combined with LinearSVC had the highest prediction accuracy in full-band range classified by province, V-band range by county and full-band range by batch, which were 99.28%, 98.55% and 97.45%, respectively, and the overall F1 scores of these three models were 99.16%, 98.59% and 97.58%, respectively, indicating excellent performance of these models. Therefore, hyperspectral imaging combined with LinearSVC can realize the non-destructive, accurate and rapid identification of P. cocos from different producing areas in batches, which is conducive to the directional research and production of P. cocos.
Hyperspectral Imaging ; Wolfiporia ; China ; Least-Squares Analysis ; Support Vector Machine

"Assessing the quality by distinguishing features of traditional Chinese medicinal materials" is a characteristic quality evaluation system of traditional Chinese medicine, and it is also the basis of "Rating according to characters and setting the price by the grade" on the market. Astragali Radix was regarded as a famous traditional Chinese medicine (TCM), and this paper has carried out herbal textual research on the development and formation of the concept, "assessing the quality by distinguishing features of traditional Chinese medicinal materials", of Astragali Radix. The authentic medicine producing areas of Astragalus in China have experienced a great change, Gansu , Sichuan and adjacent areas before the Tang Dynasty; Shanxi during the Tang and Song Dynasty. The concept, "assessing the quality by distinguishing features of traditional Chinese medicinal materials", of Astragali Radix was formed in the Song and Ming Dynasty and still used today, which described as that the shape is "straight as an arrow"; the texture is "soft as cotton"; the section looks like" gold well and jade hurdle"; it was sweet in taste and has beany flavor. The system, "assessing the quality by distinguishing features of traditional Chinese medicinal materials", of Astragali Radix has undergone the adjustments from "true or false" to "good or bad", advance with the times, pick out the advantages from others and absorb the experience of traditional identification actively. Besides, it always returns to laconism from erudition and was summarized highly. Assessing the quality by distinguishing features of traditional Chinese medicinal materials and commodity specifications have the same root, so the former has reference meaning to revise the latter.

Nerolidol is an important constituent of terpenoid essential oil and has excellent anti-tumor, anti-bacterial, and anti-oxidative properties. For realizing heterogenous production of nerolidol, our research firstly integrated the codon-optimized Actinidia sinensis nerolidol synthase gene (NES) into the terpenoid chassis strain FPP-001, and obtained NES-001 that could produce 2.71 mg•L⁻¹ nerolidol. Then, the N-terminal of the NES was fused with FPS by linker peptide GGGS. With this strategy, nerolidol production improved by 59.80-fold, reaching 162.07 mg•L⁻¹. Finally, by introduction of auxotrophic marker TRP1 in NES-002, the resulting strain NES-003 could produce 1 711.53 mg•L⁻¹ by high cell density fermentation method. This study provides the basis for the fermentative production of nerolidol and other sesquiterpenoids.