Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

Objective:To investigate the relationship between lncRNA H19 gene and transforming growth factor (TGF)-β1 in polycystic ovary syndrome (PCOS) granulosa cells and their effects on the proliferation and apoptosis of granulosa cells. Methods:Human ovarian granulosa cell line KGN was treated with TGF-β1 of 2 μg/L, 4 μg/L, and 10 μg/L, and the expression level of H19 was detected by Q-PCR method, and the H19 overexpression plasmid pcDNA3.0-H19 and siH19-1617 were transfected into KGN, the expression of TGF-β1 was detected by Western blotting, the proliferation of granulosa cells was detected by CCK8 method, and the apoptosis of granulosa cells was detected by flow cytometry.Results:After adding TGF-β1, the expression of H19 increased compared with untreated cells. When the concentration of TGF-β1≥4 μg/L, the expression of H19 increased significantly, and the difference was statistically significant ( P=0.023). After H19 was overexpressed, the expression of TGF-β1 was significantly higher than that of control group KGN+pcDNA3.0-NC transfected with empty plasmid ( P=0.017), and the expression of TGF-β1 after H19 silencing was significantly lower than that of control group KGN+NC ( P<0.001). After H19 overexpression, the proliferation ability of KGN cells was enhanced at 48 h and 72 h, but the apoptosis ability was weakened. After H19 was silenced, the proliferation ability of KGN cells was weakened at 48 h and 72 h, but the apoptosis ability was enhanced. Conclusion:H19 can regulate the expression of downstream protein TGF-β1, promote the proliferation of PCOS ovarian granulosa cells, and inhibit cell apoptosis.

Objective:To investigate the relationship between lncRNA H19 gene and transforming growth factor (TGF)-β1 in polycystic ovary syndrome (PCOS) granulosa cells and their effects on the proliferation and apoptosis of granulosa cells. Methods:Human ovarian granulosa cell line KGN was treated with TGF-β1 of 2 μg/L, 4 μg/L, and 10 μg/L, and the expression level of H19 was detected by Q-PCR method, and the H19 overexpression plasmid pcDNA3.0-H19 and siH19-1617 were transfected into KGN, the expression of TGF-β1 was detected by Western blotting, the proliferation of granulosa cells was detected by CCK8 method, and the apoptosis of granulosa cells was detected by flow cytometry.Results:After adding TGF-β1, the expression of H19 increased compared with untreated cells. When the concentration of TGF-β1≥4 μg/L, the expression of H19 increased significantly, and the difference was statistically significant ( P=0.023). After H19 was overexpressed, the expression of TGF-β1 was significantly higher than that of control group KGN+pcDNA3.0-NC transfected with empty plasmid ( P=0.017), and the expression of TGF-β1 after H19 silencing was significantly lower than that of control group KGN+NC ( P<0.001). After H19 overexpression, the proliferation ability of KGN cells was enhanced at 48 h and 72 h, but the apoptosis ability was weakened. After H19 was silenced, the proliferation ability of KGN cells was weakened at 48 h and 72 h, but the apoptosis ability was enhanced. Conclusion:H19 can regulate the expression of downstream protein TGF-β1, promote the proliferation of PCOS ovarian granulosa cells, and inhibit cell apoptosis.

OBJECTIVE:To study the hemostatic effect of porcine fibrin sealant patch (DBT) on bleeding wound of liver in rats and gluteus maximus in heparinized rabbits. METHODS:48 rats and 24 rabbits were randomly divided into sham operation group,operation control group (gauze hemostasis),medical collagen sponge group and DBT group. Except for sham operation group,animals in other groups were reduced for rat model with liver bleeding or heparinized rabbit model with gluteus maximus bleeding. The hemostatic time was recorded,bleeding amount was calculated;DBT degradation and wound adhesion in liver after 3,13 weeks were observed;re-bleeding rate of heparinized rabbits in medical collagen sponge group and DBT group were investi-gated. RESULTS:Compared with sham operation group,the hemostatic time and bleeding amount of animals in operation control group were significantly increased(P<0.01). Compared with operation control group,the hemostatic time and bleeding amount of animals in DBT group and medical collagen sponge group were significantly reduced (P<0.01). After 3,13 weeks,different de-gree of adhesion appeared in the wound of rats in each group,while the adhesion scores had no statistical significances(P>0.05). After 13 weeks,liver margin of rats in administration groups was slightly blunt,but it basically had been restored to preoperative state,with good healing. DBT can be degraded and absorbed completely. The re-bleeding rate of rabbits in DBT group were33.3%,66.7% in medical collagen sponge group. CONCLU-SIONS:DBT has good hemostatic effect on fragile organs and the body with blood coagulation dysfunction,and can be de-graded and absorbed. Its effect is equivalent to medical colla-gen,while the adhesive strength is slightly better than the latter.

OBJECTIVETo explore the genetic etiology for fetuses with increased nuchal translucency (NT) but a normal karyotype at whole genome level by chromosome microarray analysis (CMA).

METHODSSeventy-eight fetuses with increased NT (≥ 3.0 mm) but a normal karyotype were collected between 11(+0) and 13(+6) gestational weeks. Genomic DNA was extracted, and microarray testing was performed using Affymetrix CytoScan(TM) HD arrays. The data was analyzed by CHAS software. All detected copy number variations (CNVs) were confirmed with real-time quantitative polymerase chain reaction.

RESULTSThe CMA assay has detected pathogenic CNVs in 6 fetuses (7.69%), which have ranged from 0.41 Mb to 15.87 Mb. Well-known microdeletion or microduplication syndromes including Wolf-Hirschhorn syndrome, 22q11 microdeletion syndrome and ATR-16 syndrome were identified in three cases. The detection rates in fetuses with or without structural abnormalities were 18.18% and 5.97%, respectively (P=0.198 with Fisher's Exact Test). The average NT in fetuses with pathogenic CNVs and non-pathogenic CNVs has measured 4.48 mm and 4.22 mm (P=0.735 by Mann-Whitney Test).

CONCLUSIONFor fetuses with increased NT, CMA can identify chromosomal microdeletion/microduplication unrecognizable by conventional karyotyping analysis. It may therefore play an important role in prenatal diagnosis and genetic counseling by improving the diagnostic rate.

Adult ; Chromosome Aberrations ; Chromosome Disorders ; diagnosis ; diagnostic imaging ; genetics ; Female ; Fetal Diseases ; diagnosis ; diagnostic imaging ; genetics ; Humans ; Karyotype ; Karyotyping ; Nuchal Translucency Measurement ; Oligonucleotide Array Sequence Analysis ; Pregnancy ; Prenatal Diagnosis