OBJECTIVE:To provide reference for the approval of Chinese medicines’patent application in the United States. METHODS:The requirements of patent eligibility in the United States were interpreted;two important patent cases(“Mayo case”and“Myriad case”)were analyzed in recent years,and the effects of“patent eligibility guideline”on Chinese medicines’patent ap-plication in the United States were also analyzed;the suggestions were put forward according to the situation of Chinese medicines’ patent application. RESULTS & CONCLUSIONS:Patent eligibility required that patent protection objects should be included in ob-ject range which could be vested patent right stated in patent law. The analysis of“Mayo case”“Myriad case”and patent eligibility guideline indicated that if related Chinese medicines’patent was to obtain patent approval in the United States,notable difference between the medicine and natural products as well as the order of nature must be clearly stated;technical attributes should be em-phasized,and different patent application ideas were adopted for different types of invention in order to guarantee patent eligibility. At present,small number of Chinese medicine’s patent in the United States come from China,and relevant enterprises should liber-ate themselves from the misperception that Chinese medicines do not hold patent eligibility. Hence,it is suggest that the first claim in the patent should not be too definite in Chinese medicines’patent application,afford more comprehensive application,strength-en patent protection of classic Chinese medicine recipe and stress patent eligibility.

Objectives To analyze the changes of serum complement C1q level in patients with metabolic syndrome (MS) and investigate whether it is associated with lipid metabolism and glycometabolism. Methods In a cross-sectional study, the subjects were selected as the patients and healthy people who went to the second xiangya hospital of central south university from July 2017 to June 2018. A total of 152 MS patients were enrolled and another 90 healthy subjects were enrolled as control group. Anthropometry parameters such as body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP) were measured. Serum concentrations of C1q and other biochemical indexes including blood glucose (GLU), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured in all groups. The correlations between C1q and these parameters were analyzed by spearman's rho test and the clinical value of C1q in predicting MS was further evaluated by stepwise multiple linear regression analysis. Results MS group had higher serum C1q levels (244.34±62.66) mg/L compared with the control group (202.37±35.92) mg/L (t=-6.250, P=0.000). C1q levels (244.34±62.66) mg/L were positively associated with TG levels [2.34(1.89, 3.62)] mmol/L (r=0.245, P=0.001), TC levels (4.91±1.26) mmol/L (r=0.398, P=0.000), LDL-C levels (3.23±1.03) mmol/L (r=0.325, P=0.000) in MS group, While C1q levels (258.92±69.59)mg/L were positively associated with SBP (144.76 ± 22.94) mmHg (r=0.388, P=0.018), TG levels [2.65(1.87, 3.82)] mmol / L (r=0.482, P=0.003), TC levels (5.18±1.31) mmol/L (r=0.529,P=0.001) in MS patients with obesity. The stepwise multiple regression analysis showed that TG levels were independently correlated with serum C1q levels both in MS patients (β=0.302, P=0.000) and in MS patients with obesity (β=0.653, P=0.000) after adjusting for age, gender and other biochemical markers. Conclusions MS patients had higher C1q levels than healthy subjects and serum C1q levels were closely positive related to harmful lipid profiles. Serum TG level was an independent influencing factor of serum C1q in MS patients.

Deciphering the metabolites of multiple components in herbal medicine has far-reaching significance for revealing pharmacodynamic ingredients.However,most chemical components of herbal medicine are secondary metabolites with low content whose in vivo metabolites are close to trace amounts,making it difficult to achieve comprehensive detection and identification.In this paper,an efficient strategy was proposed:herb-derived metabolites were predicted according to the structural characteristics and metabolic reactions of chemical constituents in Corydalis Rhizoma and chemical structure screening tables for metabolites were conducted.The fragmentation patterns were summarized from represen-tative standards combining with specific cleavage behaviors to deduce structures of metabolites.Ion abundance plays an important role in compound identification,and high ion abundance can improve identification accuracy.The types of metabolites in different biological samples were very similar,but their ion abundance might be different.Therefore,for trace metabolites in biological samples,we used the following two methods to process:metabolites of high dose herbal extract were analyzed to char-acterize those of clinical dose herbal extracts in the same biological samples;cross-mapping of different biological samples was applied to identify trace metabolites based on the fact that a metabolite has different ion abundance in different biological samples.Compared with not using this strategy,44 more metabolites of clinical dose herbal extract were detected.This study improved the depth,breadth,and accuracy of current methods for herb-derived metabolites characterization.

Preoperative patients′ preparedness for selective surgery is of great significance in improving surgical efficiency, improving treatment outcomes, and optimizing the quality of medical care. The lack of unified standards for existing evaluation tools hinders their clinical application. This article provides a review of the development, content, reliability, validity, and application of existing evaluation tools, and compares and analyzes them, in order to provide reference for medical workers to select suitable evaluation tools and construct a patient-centered preoperative preparation strategy.

The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.

The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.

Objective:To assess the association between diabetes mellitus and the risk of sudden cardiac death (SCD), and to identify potential contributing factors.Methods:This meta-analysis was an updated version of the original study Diabetes mellitus and the risk of sudden cardiac death： a systematic review and meta-analysis of prospective studies. The original review included all eligible case-control and cohort studies published in PubMed and Embase up to 2017 that investigated the association between diabetes and SCD risk. In this updated study, newly published studies were added, including those available in PubMed, Embase, China National Knowledge Infrastructure (CNKI), and WANFANG MED ONLINE up to December 3, 2023. Search terms included "diabetes""glucose""sudden cardiac death" "cardiac arrest" and their Chinese equivalent. The primary outcome was the risk of SCD, while factors such as country, ethnicity, skin color, follow-up duration, left ventricular ejection fraction (LVEF), baseline comorbidities, and other relevant variables were analyzed as potential influencing factors. Relative risk ( RR) was used as the summary measure. A random-effects model was used when significant heterogeneity was detected, otherwise a fixed-effects model was used. Cochran′s Q test was used for subgroup analysis to assess the influence of factors such as region, baseline diseases, LVEF, and ethnicity (based on skin color) on the outcomes. Results:A total of 32 cohort/case-control studies with a combined sample size of 3 252 954 individuals were included. The meta-analysis showed that the risk of SCD in patients with diabetes was double that of non-diabetics ( RR=2.00, 95% CI: 1.83-2.19, P<0.001). In Asian populations, the risk of SCD in diabetic patients was 1.78 times that of non-diabetic individuals ( RR=1.78, 95% CI: 1.51-2.10), 2.05 times that of in European populations ( RR=2.05, 95% CI: 1.79-2.34), and 2.12 times that of in American populations ( RR=2.12, 95% CI: 1.82-2.47), with no statistically significant heterogeneity between regions ( P=0.287). Among individuals without other baseline comorbidities, the risk of SCD was 2.12 times higher in diabetic patients than in those without diabetes ( RR=2.12, 95% CI: 1.89-2.38). In patients with baseline coronary heart disease, the risk was 1.75 times that of non-diabetics ( RR=1.75, 95% CI: 1.45-2.11). In those with baseline heart failure, the risk was 1.92 times that of non-diabetics ( RR=1.92, 95% CI: 1.51-2.43). In patients with baseline atrial fibrillation, the risk was 4.00 times that of non-diabetic individuals ( RR=4.00, 95% CI: 1.38-11.56). In patients undergoing hemodialysis due to renal failure, the risk was 1.76 times that of non-diabetic individuals ( RR=1.76, 95% CI: 1.25-2.48), with no statistically significant heterogeneity between groups ( P=0.262). In cardiac patients with LVEF>50%, the risk of SCD in diabetic patients was 2.08 times that of non-diabetic individuals ( RR=2.08, 95% CI: 1.57-2.75), and in those with LVEF<50%, the risk was 1.69 times that of non-diabetic individuals ( RR=1.69, 95% CI: 1.30-2.18), with no statistically significant heterogeneity between groups ( P=0.277). In yellow-skinned populations, the risk of SCD in diabetic patients was 1.80 times that of healthy individuals ( RR=1.80, 95% CI: 1.73-1.87), and in white-skinned populations, it was 2.18 times that of healthy individuals ( RR=2.18, 95% CI: 1.88-2.54), with statistically significant heterogeneity between groups ( P=0.014). Conclusions:Diabetes mellitus significantly increased the risk of SCD, and this effect may be more pronounced in white-skinned populations, while region, baseline comorbidities, and LVEF had no further effect.

Cerebral infarction, with high incidence, high mortality, high disability and high recurrence rates, can impose a serious burden on families and society. After cerebral infarction occurrence, neurons, as the fundamental structures of the central nervous system, are unable to renew or multiply after death; hence, full recovery from neurological impairments following cerebral infarction is challenging. With stem cell and genetic recombination advancements, cellular replacement therapy after cerebral infarction progresses, which helps clinical transformation and application. In this paper, the basic researches of cellular replacement therapy after cerebral infarction are reviewed from 3 aspects: endogenous nerve regeneration, exogenous stem cell transplantation, and in situ somatic cell trans-differentiation into neurons, in order to provide references for cerebral infarction treatment

We studied structural and immunological properties of the SARS-CoV M (membrane) protein, based on comparative analyses of sequence features, phylogenetic investigation, and experimental results. The M protein is predicted to contain a triple-spanning transmembrane (TM) region, a single N-glycosylation site near its N-terminus that is in the exterior of the virion, and a long C-terminal region in the interior. The M protein harbors a higher substitution rate (0.6% correlated to its size) among viral open reading frames (ORFs) from published data. The four substitutions detected in the M protein, which cause non-synonymous changes, can be classified into three types. One of them results in changes of pI (isoelectric point) and charge, affecting antigenicity. The second changes hydrophobicity of the TM region, and the third one relates to hydrophilicity of the interior structure. Phylogenetic tree building based on the variations of the M protein appears to support the non-human origin of SARS-CoV. To investigate its immunogenicity, we synthesized eight oligopeptides covering 69.2% of the entire ORF and screened them by using ELISA (enzyme-linked immunosorbent assay) with sera from SARS patients. The results confirmed our predictions on antigenic sites.
Amino Acid Sequence ; Base Sequence ; Cluster Analysis ; Enzyme-Linked Immunosorbent Assay ; Immunoassay ; Molecular Sequence Data ; Mutation ; genetics ; Oligopeptides ; Phylogeny ; Protein Structure, Tertiary ; SARS Virus ; genetics ; Sequence Alignment ; Sequence Analysis, DNA ; Viral Matrix Proteins ; chemistry ; genetics ; immunology

Expressed Sequence Tag (EST) analysis has pioneered genome-wide gene discovery and expression profiling. In order to establish a gene expression index in the rice cultivar indica, we sequenced and analyzed 86,136 ESTs from nine rice cDNA libraries from the super hybrid cultivar LYP9 and its parental cultivars. We assembled these ESTs into 13,232 contigs and leave 8,976 singletons. Overall, 7,497 sequences were found similar to existing sequences in GenBank and 14,711 are novel. These sequences are classified by molecular function, biological process and pathways according to the Gene Ontology. We compared our sequenced ESTs with the publicly available 95,000 ESTs from japonica, and found little sequence variation, despite the large difference between genome sequences. We then assembled the combined 173,000 rice ESTs for further analysis. Using the pooled ESTs, we compared gene expression in metabolism pathway between rice and Arabidopsis according to KEGG. We further profiled gene expression patterns in different tissues, developmental stages, and in a conditional sterile mutant, after checking the libraries are comparable by means of sequence coverage. We also identified some possible library specific genes and a number of enzymes and transcription factors that contribute to rice development.
Arabidopsis ; genetics ; DNA, Complementary ; metabolism ; Databases as Topic ; Expressed Sequence Tags ; Gene Library ; Genome, Plant ; Genomics ; methods ; Multigene Family ; Open Reading Frames ; Oryza ; genetics ; Quality Control ; Software