ObjectiveTo establish the fingerprints of 15 batches of Hengzhi Kechuan capsules， to quantitatively analyze 10 index components， and to evaluate the quality uniformity of samples from different batches. MethodsThe fingerprints and quantitative analysis of Hengzhi Kechuan capsules were established by a combination method of high performance liquid chromatography coupled with diode array detector and charged aerosol detector（HPLC-DAD-CAD）， adenosine， guanosine， vanillic acid， safflomin A， agarotetrol， naringin， hesperidin， militarine， ginsenoside Rb₁， and glycyrrhizic acid were selected as quality attribute indexes. A total of 15 batches of Hengzhi Kechuan capsules from 2022 to 2024（3 boxes per batch） were qualitatively and quantitatively analyzed， and the quality uniformity level of the manufacturers was characterized by parameters of intra-batch consistency（P_A） and inter-batch consistency（P_B）. The homogeneity and difference of quality attribute indexes of samples from different years were analyzed by heatmap clustering analysis. ResultsHPLC fingerprints and quantitative method of Hengzhi Kechuan capsules were established， and the methods could be used for qualitative and quantitative analysis of this preparation， which was found to be stable and reliable by method validation. The similarity of fingerprints of 15 batches of samples was 0.887-0.975， a total of 13 common peaks were calibrated， and 10 common peaks were designated， all of which were quality attribute index components. The results of quantitative analysis showed that the contents of the above 10 ingredients in the samples were 0.038-0.078， 0.115-0.251， 0.007-0.018， 0.291-0.673， 0.122-0.257， 0.887-1.905， 1.841-3.364， 1.412-2.450， 2.207-3.112， 0.650-1.161， respectively. And the contents of ginsenoside Rb₁ and glycyrrhizic acid met the limit requirements in the 2020 edition of Chinese Pharmacopoeia. For the samples from 15 batches， the P_A values of the 10 index components were all <10%， indicating good intra-batch homogeneity， and the P_B values ranged from 33.86% to 92.97%， suggesting that the inter-batch homogeneity was poor. Heatmap clustering analysis showed that the samples from different years were clustered into separate categories， and adenosine， guanosine， safflomin A， naringin， hesperidin and agarotetrol were the main differential components. ConclusionThe intra-annual quality uniformity of Hengzhi Kechuan capsules is good and the inter-annual quality uniformity is insufficient， which may be related to the quality difference of Pinellinae Rhizoma Praeparatum， Carthami Flos， Citri Sarcodactylis Fructus， Citri Reticulatae Pericarpium， Aquilariae Lignum Resinatum， Citri Fructus， etc. In this study， the fingerprint and multi-indicator determination method of Hengzhi Kechuan capsules was established， which can be used for more accurate and efficient quality control and standardization enhancement.

ObjectiveStudies have shown that nuciferine has anti-cerebral ischemia effect， but the specific mechanism of action has not been elaborated. Based on the transcriptome results， the pharmacological mechanism of nuciferine against cerebral ischemia was analyzed from multiple dimensions including tissue， cell， pathological process， biological process and signaling pathway. MethodsThirty SD rats were randomly divided into the sham group， model group and nuciferine group（40 mg·kg^-1） according to weight. Except for the sham group， the model of middle cerebral artery occlusion（MCAO） was established by thread embolization method after 30 min of administration in the other two groups. Twenty-four hours after surgery， transcriptome sequencing was used to detect the gene expression profiles in the cortex penumbra of rat cerebral tissue， and gene ontology（GO） and kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis were performed for differentially expressed genes. The mechanismof nuciferine against cerebral ischemia was analyzed from 5 dimensions of tissue， cell， pathological process， biological process and signaling pathway by the transcriptome-based multi-scale network pharmacology platform（TMNP）. ResultsTranscriptome sequencing and gene quantitative analysis showed that 667 genes were significantly reversed by nuciferine. Further enrichment analysis of KEGG and GO suggested that the pathways of nuciferine involved regulating stress response， ion transport， cell proliferation and differentiation， and synaptic function. TMNP research found that at the tissue level， nuciferine could significantly improve the cerebral tissue injury caused by ischemia. At the cellular and pathological levels， nuciferine could play an anti-cerebral ischemia role by improving the state of various nerve cells， mobilizing immune cells， regulating inflammation. And at the level of biological processes and signaling pathways， nuciferine mainly acted on the processes such as vascular remodeling， inflammation-related signaling pathways， and synaptic signaling. ConclusionCombined with the results of transcriptome sequencing， gene quantitative analysis and TMNP， the mechanism of nuciferine against cerebral ischemia may be related to processes such as intervening in stress response and inflammation， affecting vascular remodeling and regulating synaptic function. These results can provide a basis and reference for further study of the pharmacological mechanism of nuciferine against cerebral ischemia.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

As a mercury-containing elixir， Hongshengdan has been known as a sacred medicine for surgery by ancient medical practitioners because of its precise curative effects. It originated from Yizong Shuoyue in the Qing dynasty， Qing dynasty and modern medical practitioners have adapted and modified its formula for clinical application. Employing bibliometric methods， the authors systematically organized relevant ancient literature of the Qing dynasty and modern literature， and analyzed the composition and dosage， preparation method， and clinical application. Among the 25 ancient books concerning Hongshengdan， a total of 12 medicinal formulas， 15 refining methods and 9 clinical applications were obtained. Research confirms that Hongshengdan consisted of mercury， saltpeter， alum， soap alum， cinnabar and realgar. Using measurement conversion standards of Qing dynasty， the modern single-batch formulation comprised 37.30 g of mercury， 149.20 g of saltpeter， 37.30 g of alum， 22.38 g of soap alum， 18.65 g of cinnabar， and 18.65 g of realgar. In modern refining of Hongshengdan， most medical practitioners take the core medicines， with dosages approximately 30 g of mercury， 30 g of saltpeter， and 30 g of alum. Refining method involves pretreatment stewing the materials during preparation， and alum， soap alum， and saltpeter are first ground together， then combined with mercury， cinnabar， and realgar for grinding until mercury and other drugs grind to the degree of no star points. The mixture is then placed in a pot or vessel by cold-forming method. After covering， the opening is sealed using either raw gypsum salt mud or honey-dipped cotton paper strips. Sand is packed around the vessel and then pressurized. During the calcination process， begin with a low flame（30 min）， then increase to a medium flame（30 min）， followed by a high flame（30 min）， after removing fire toxins， collect the final product. Hongshengdan has the efficacy of lifting the poison， removing the corrosion， producing muscle and dispersing， and is often used in the treatment of surgical sore and carbuncle type of diseases. Modern research indicates that Hongshengdan is commonly used to treat skin system diseases such as ulcers and herpes. The aforementioned findings provide a reference basis for the subsequent refining method and clinical application of Hongshengdan.

Objective:To compare and analyze the clinical characteristics of acute myeloid leukemia (AML) related to the treatment of hematological tumors and solid tumors.Methods:The laboratory and clinical data of 41 patients with treatment-related AML (t-AML) in the Department of Hematology, Henan Cancer Hospital from January 2014 to December 2021 were retrospectively analyzed, and they were divided into hematological tumor group and solid tumor group. Survival analysis was performed using the Kaplan-Meier method and Log rank test.Results:The median interval from the first tumor diagnosis to t-AML in 41 patients was 21.0 (16.5-46.0) months; 24 (58.5%) had abnormal expression of lymphoid antigen, 28 (68.3%) had abnormal karyotype, 18 cases (43.9%) were positive for fusion gene, and 28 cases (68.3%) were positive for gene mutation; the median recurrence-free survival (RFS) was 11.0 months, and the median overall survival (OS) was 11.5 months. The proportion of acute promyelocytic leukemia ([APL], 0.0, 0/13), complete response ([CR],18.2%, 2/11), median OS (4.5 months) and median RFS (2.5 months) of t-AML patients in the hematological tumor group were significantly lower than those in the solid tumor group (35.7%, 10/28; 68.0%, 17/25; not reach; not reach), but the proportion of M4 /M5 (93.2%,12/13) was significantly higher than that in the solid tumor group (53.6%,15/18; all P values<0.05). Through subgroup analysis, the proportion of patients with positive PML-RARa and good prognosis karyotypes in the solid tumor group (35.7%, 10/28; 46.4%, 13/28) was significantly higher than that in the hematological tumor group (0.0, 0/13; 0.0, 0/13; P<0.05), while the proportion of patients with intermediate karyotypes (42.9%, 12/28) was significantly lower than that in the hematological tumor group (84.6%, 11/13; P<0.05), the difference was statistically significant. The CR rate (90.0%, 9/10), median OS (not reach) and median RFS (not reach) in the t-APL group were higher than those in the t-AML (without t-APL) group (38.5%, 10/26; 6 months; 8 months; P<0.05). After excluding the effect of t-APL patients, there was no significant difference in the CR rate, median OS and median RFS between the solid tumor group (8; 9 months; not reach) and the hematological tumor group (2; 4 months; 2 months; P>0.05). Univariate analysis showed that the primary tumor belongs to hematological tumor was a common risk factor for OS and RFS in t-AML patients ( P<0.10). Conclusions:Compared with patients with t-AML secondary to solid tumors, patients with t-AML secondary to hematological tumors have poorer treatment effects and poorer prognosis. After excluding the effect of t-APL patients, there are no significant differences in the treatment efficacy and prognosis between the two types of t-AML patients.

Objective To investigate the predictive value of CALLY index for ischemic post-stroke depression(PSD).Methods The clinical data of 179 patients with ischemic stroke were included,and the demographic information,medical history,stroke severity and laboratory indicators at admission were collected.After 6 months of follow-up,all patients were assessed for depressive symptoms using the 17-item Hamilton Depression Scale(HAMD-17).Patients were divided into the PSD group(48 cases)and the non-PSD group(131 cases).Differences in clinical characteristics were compared between the PSD group and the non-PSD group.CALLY index was calculated from C-reactive protein(CRP),albumin(ALB)and lymphocyte counts.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of CALLY index to PSD.Spearman correlation analysis was used for the correlation between CALLY index and neurological and cognitive function in PSD patients.K-M curve and Cox regression were used for analyzing the influence of CALLY index on PSD.Results The CALLY index of 179 patients ranged from 0.54 to 1.79,with a median of 1.08.ROC curve analysis showed that the optimal critical value of CALLY index to predict PSD was 1.09,and the area under ROC curve was 0.757(95%CI:0.687-0.818).Compared with the non-PSD group,the proportion of females was higher in the PSD group,and the proportion of patients with hyperlipidemia was increased with shorter years of education.The serum C-reactive protein(CRP)was higher,and albumin(ALB)and CALLY index were lower(P＜0.05).The K-M curve showed that the incidence of PSD was significantly higher in the low CALLY index group(CALLY≤1.08)than that in the higher CALLY index group(CALLY＞1.08,33.0%vs.20.5%,Log rank χ2=8.553,P=0.004).Cox regression analysis showed that after adjusting for other covariates,the decreased CALLY index was an independent risk factor for PSD(HR=2.651,95%CI:1.269-5.540,P＜0.05).Conclusion CALLY index has a certain predictive value for PSD in acute ischemic stroke patients,which is helpful for early identification and timely intervention to improve the prognosis of patients.

Diabetic nephropathy (DN) is a clinical syndrome characterized by persistent proteinuria and progressive decline in renal function, and is one of the microvascular complications of diabetes. With the in-depth understanding of the pathogenesis of DN, the role of intestinal flora imbalance in the disease has been found clinically. This suggests that restoring the host′s healthy gut flora may be a means of improving DN. In fact, recent studies have shown that many of the drugs currently used to treat DN affect gut microbiota composition. In this review, intestinal flora is regarded as one of the main factors affecting the development of DN, and DN therapy targeting intestinal flora is summarized to provide new ideas for the diagnosis and treatment of DN.

Objective:To analyze the influencing factors of genotypic drug resistance mutations in people living with human immunodeficiency virus and acquired immunodeficiency syndrome(PLWHA) who failed anti-retroviral therapy (ART) in Henan Province, in order to provide a basis for adjusting ART regimens and reducing drug resistance.Methods:PLWHA with virological failure (human immunodeficiency virus (HIV) RNA≥500 copies/mL) after receiving ART for more than 24 weeks were included in Henan Province from January 2018 to December 2022. Baseline CD4 + T lymphocyte counts, ART regimens and other clinical data were collected. HIV-1 gene subtypes and their drug resistance sequence mutations were detected in the Sixth People′s Hospital of Zhengzhou, and the sequences were submitted to the HIV Drug Resistance Interpretation System of Stanford University for comparison of test results. Genotypic drug resistance to nucleotide reverse transcriptase inhibitors (NRTI), non-nucleoside reverse transcriptase inhibitors (NNRTI), protease inhibitors (PI) and integrase inhibitors (INSTI) was determined. Multivariate logistic regression was used to analyze the influencing factors of drug resistance in patients with ART failure. Results:Among 982 PLWHA, the sequences of 899 cases were successfully amplified, and drug resistance was detected in 737 cases, with the drug resistance rate of 81.98%(737/899). The rates of resistance to NRTIs, NNRTIs, PIs and INSTIs were 71.97%(647/899), 79.31%(713/899), 5.23%(47/899) and 2.72%(20/734), respectively.The largest number of those who developed concomitant resistance to two classes of drugs was 588 cases (79.78%), mainly NRTI and NNRTI concomitant resistance in 583 cases (79.10%). There were 99 cases (13.43%) who developed resistance to only one class of drugs, and those who developed concurrent resistance to three classes of drugs were 48 cases (6.51%), and two cases (0.27%) were found to be resistant to all four classes of drugs mentioned above. A total of 10 HIV genotypes were detected, among which subtype B accounted for the most (59.73%(537/899)), followed by circulating recombinant form (CRF)01_AE subtype (21.91%(197/899)) and CRF07_BC subtype (9.45%(85/899)). The risk factors affecting the development of drug resistance were baseline CD4 + T lymphocyte counts, ART regimens and HIV-1 genotypes. The risk of drug resistance in patients with baseline CD4 + T lymphocyte counts <100/μL was 4.55 times (95% confidence interval ( CI) 2.69 to 7.70) higher than patients with CD4 + T lymphocyte counts≥250/μL, the risk of drug resistance in patients using 2NRTIs+ NNRTI regimen was 4.51 times (95% CI 1.75 to 11.63) higer than those using 2NRTIs+ INSTI regimen, and patients infected with B and CRF01_AE subtype was 2.18 times (95% CI 1.10 to 4.29) and 2.70 times (95% CI 1.26 to 5.78) higer than those with CRF07_BC subtype, respectively. Conclusions:The incidence of genotypic drug resistance in PLWHA with ART failure in Henan Province is high. Low baseline CD4 + T lymphocyte counts, 2NRTIs+ NNRTI regimens, and genotype B and CRF01_AE are risk factors for drug resistance in PLWHA.

Objective:To monitor the subtype distributions and drug resistance mutations of human immunodeficiency virus (HIV)-1 in people living with human immunodeficiency virus-1 (PLWH) who had not experienced anti-retroviral therapy (ART) in Henan Province in 2023, so as to provide valuable data for understanding the transmission of HIV-1 resistant strains and selection of ART regimens in Henan Province.Methods:The clinical data and drug resistance of PLWHs who had not experienced ART in the Sixth People′s Hospital of Zhengzhou from January to December 2023 were collected. This study was a cross-sectional study. Plasma samples were collected from patients, and the partial HIV pol gene sequence and the full integrase gene sequence were amplified by reverse transcription-nested polymerase chain reaction. The subtypes of HIV-1 isolates were determined using the online REGA HIV-1 Subtyping Tool. Drug resistance mutations and antiviral drug susceptibility were analyzed by submitting the determined sequences to the Stanford HIV-1 drug resistance database.Results:Among the 1 073 PLWHs who had not experienced ART, sequences in 1 042 were successfully amplified, giving a success rate of 97.11%. A total of 12 subtypes were detected, and the top five subtypes were circulating recombinant form (CRF)07_BC (43.76%, 456/1 042), CRF01_AE (25.91%, 270/1 042), B (20.92%, 218/1 042), CRF55_01B (5.28%, 55/1 042) and CRF08_BC (1.25%, 13/1 042). The incidence of drug resistance mutation was 28.89% (301/1 042). Drug resistance mutation of non-nucleoside reverse transcriptase inhibitors (NNRTI), nucleotide reverse transcriptase inhibitors (NRTI), protease inhibitors (PI) and integrase inhibitors (INSTI) were 20.92%(218/1 042), 4.03%(42/1 042), 3.84%(40/1 042) and 2.98%(31/1 042), respectively. V179 (12.96%, 135/1 042), M184 (2.40%, 25/1 042), Q58 (2.78%, 29/1 042), and E157 (1.44%, 15/1 042) were the most common drug resistance mutation for NNRTIs, NRTIs, PIs and INSTIs, respectively.Conclusions:The distribution of HIV-1 subtypes is diverse, and the incidence of drug resistance mutation is moderate prevalent in PLWHs who have not experienced ART. Drug resistance testing in PLWHs before ART should be closely monitored.