Objective To analyze and summarize the clinical manifestations,ultrasound images,and pathological features of the rare disease fibro-adipose vascular anomaly(FAVA),in order to improve under-standing of the disease and reduce misdiagnosis rates.Methods The clinical manifestations,lesion locations,ultrasound images,and pathological findings of 37 patients diagnosed with FAVA in this hospital from January 2023 to December 2024 were analyzed.Results FAVA predominantly occurred in children and young and middle-aged women,mainly presenting as hard masses in the calves,progressive pain,with some cases ac-companied by movement disorders.It was rarely seen in the thighs,forearms,upper arms,and elbow joints.The disease primarily affected muscles and rarely affected nerves.When muscles and nerves were involved,it exhibited characteristic ultrasonographic features and unique imaging manifestations on magnetic resonance imaging.In immunohistochemistry,besides vascular and lymphatic markers such as CD31(vascular+),CD34(vascular+),D2-40(lymphatic+),and ERG(vascular endothelial cells+),some lesions also showed molecu-lar markers including Factor Ⅷ(+),Ki-67(<1%+),Vimentin(+),β-catenin(partial+),and SMA(partial+).Conclusion Awareness of the ultrasonographic and pathological characteristics of FAVA should be increased to reduce the misdiagnosis rate.

Objective To develop a prediction model for placenta previa in early pregnancy by analyzing embryo implantation sites and related clinical factors,in order to provide an objective basis for early risk identification.Methods A retrospective cohort study was conducted on 232 singleton pregnant women delivering in our hospital between September 2020 and March 2024.According to the final pre-delivery ultrasound findings,they were divided into placenta previa group(n=78)and a non-placenta previa group(n=154).Their ultrasound parameters[distance from lower gestational sac margin to cervical os,implantation site(lower/middle-upper uterine segment),and implantation position(anterior/posterior wall)],and clinical data[age,gravidity(categorized as<2 or≥2 pregnancies),parity(<2 or≥2 deliveries),and history of intrauterine procedures were collected through electronic medical records.Univariate analysis was used to screen potential predictors(P<0.1),and multivariate logistic regression analysis was employed to identify the predictors(P<0.05)for placenta previa.Then a nomogram prediction model was constructed,which was internally validated with Bootstrap(1 000 bootstrap resamples)and assessed for discrimination with area under the receiver operating characteristic curve(AUC)and for calibration with Hosmer-Lemeshow goodness-of-fit test.Results The placenta previa group showed significantly advanced age(≥35 years),lower education level(≤high school),multigravidity(≥2 pregnancies),multiparity(≥2 deliveries),more intrauterine procedures,distance of gestational sac-to-cervical os<5.5 mm,and larger proportion of lower uterine segment implantation than the non-placenta previa group(all P<0.1).But there were no statistical differences between the 2 groups in proportion of posterior wall implantation,history of cesarean section or assisted reproductive technology(ART).Multivariate logistic regression analysis confirmed lower uterine segment implantation(OR=40.40,95%CI:14.68～136.19,P<0.001),posterior wall implantation(OR=2.73,95%CI:1.27～6.28,P=0.013),and intrauterine procedures(OR=3.48,95%CI:1.65～7.70,P=0.001)as independent risk factors.The model based on these predictors demonstrated excellent discrimination(AUC value=0.84,95%CI:0.79～0.90)and calibration(Hosmer-Lemeshow test Chi-square=3.455,P=0.750).Conclusion Lower uterine segment/posterior wall implantation and intrauterine procedures are independent risk factors for placenta previa.Our nomogram model based on these factors shows good predictive efficiency,and can provide reference for early recognition of pregnant woman with high-risk placenta previa.

Objective To evaluate the quality of Shuanghuanglian Oral Liquid after mutual substitution of honeysuckle and wild honeysuckle using total quantum statistical moment(TQSM)and molecular connectivity index(MCI).Methods UPLC fingerprint of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian oral liquid(wild honeysuckle)were established,the TQSM parameters and similarity of the fingerprint were calculated;by reviewing relevant literature,as well as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),chemical composition databases for Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was established,all components were divided into different component groups,and MCI and its similarity were calculated.Results The number of chromatographic peaks and total zero order moment(AUCT)of 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)were higher than those of Shuanghuanglian Oral Liquid(wild honeysuckle),but there was no significant difference in total first order moment(MRTT)and total second order moment(VRTT);the total quantum statistical moment similarity(TQSMS)between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)was 1.000 0-0.824 6,the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.659 0,and the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.619 8.The MCI similarity of various components between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.984 9,with an overall MCI similarity of 0.995 8.Conclusion There is no significant difference in the various components and overall"imprinting template"between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle).It is speculated that the substitution of honeysuckle and wild honeysuckle will not affect the pharmacological properties of Shuanghuanglian Oral Liquid,but there may be differences in the intensity of pharmacological effects,with Shuanghuanglian Oral Liquid(honeysuckle)being the most effective.

Objective To evaluate the quality of Shuanghuanglian Oral Liquid after mutual substitution of honeysuckle and wild honeysuckle using total quantum statistical moment(TQSM)and molecular connectivity index(MCI).Methods UPLC fingerprint of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian oral liquid(wild honeysuckle)were established,the TQSM parameters and similarity of the fingerprint were calculated;by reviewing relevant literature,as well as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),chemical composition databases for Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was established,all components were divided into different component groups,and MCI and its similarity were calculated.Results The number of chromatographic peaks and total zero order moment(AUCT)of 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)were higher than those of Shuanghuanglian Oral Liquid(wild honeysuckle),but there was no significant difference in total first order moment(MRTT)and total second order moment(VRTT);the total quantum statistical moment similarity(TQSMS)between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)was 1.000 0-0.824 6,the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.659 0,and the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.619 8.The MCI similarity of various components between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.984 9,with an overall MCI similarity of 0.995 8.Conclusion There is no significant difference in the various components and overall"imprinting template"between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle).It is speculated that the substitution of honeysuckle and wild honeysuckle will not affect the pharmacological properties of Shuanghuanglian Oral Liquid,but there may be differences in the intensity of pharmacological effects,with Shuanghuanglian Oral Liquid(honeysuckle)being the most effective.

Methods: This study established the MFSM method. To demonstrate its effectiveness, we applied this novel approach to analyze Danxi Granules (丹膝颗粒, DXG) and its constituent herbal materials. To begin with, the ultra-performance liquid chromatography (UPLC) was applied to obtain the chromatographic fingerprints of DXG and its constituent herbal materials. Next, the MFSM was leveraged to compress and integrate them into a new fingerprint with fewer analytical units. Then, we characterized the properties and variability of both the original and integrated fingerprints by calculating total quantum statistical moment (TQSM) parameters, information entropy and information amount, along with their relative standard deviation (RSD). Finally, we compared the TQSM parameters, information entropy and information amount, and their RSD between the traditional and novel fingerprints to validate the new analytical method. Results: The chromatographic peaks of DXG and its 12 raw herbal materials were divided and integrated into peak families by the MFSM method. Before integration, the ranges of the peak number, three TQSM parameters, information entropy and information amount for each peak or peak family of UPLC fingerprints of DXG and its 12 raw herbal materials were 95.07 − 209.73, 9390 − 183064 μv·s, 5.928 − 21.33 min, 22.62 − 106.69 min2, 4.230 − 6.539, and 50530 − 974186 μv·s, respectively. After integration, the ranges of these parameters were 10.00 − 88.00, 9390 − 183064 μv·s, 5.951 − 22.02 min, 22.27 − 104.73 min2, 2.223 − 5.277, and 38159 − 807200 μv·s, respectively. Correspondingly, the RSD of all the aforementioned parameters before integration were 2.12% − 9.15%, 6.04% − 49.78%, 1.15% − 23.10%, 3.97% − 25.79%, 1.49% − 19.86%, and 6.64% − 51.20%, respectively. However, after integration, they changed to 0.00%, 6.04% − 49.87%, 1.73% − 23.02%, 3.84% − 26.85%, 1.17% − 16.54%, and 6.40% − 48.59%, respectively. The results demonstrated that in the newly integrated fingerprint, the analytical units of constituent herbal materials, information entropy and information amount were significantly reduced (P < 0.05), while the TQSM parameters remained unchanged (P > 0.05). Additionally, the RSD of the TQSM parameters, information entropy, and information amount didn’t show significant difference before and after integration (P > 0.05), but the RSD of the number and area of the integrated analytical units significantly decreased (P < 0.05). Conclusion The MFSM method could reduce the analytical units of constituent herbal materials while maintain the properties and variability from their original fingerprint. Thus, it could serve as a feasible and reliable tool to reduce difficulties in analyzing multi-components within CMMs and facilitating the evaluation of their quality.

ObjectiveBased on the network pharmacology system and quantitative spectroscopy of traditional Chinese medicine（TCM） compounds， a topological network analysis method with equilibrium constant as the core was established to further explore the interaction between allergenic components and their network targets in Shuanghuanglian injection（SHLI）， in order to provide new ideas and experimental basis for identifying and screening potential allergens of SHLI. MethodAfter one week of adaptive feeding， 72 SPF-grade SD male rats were randomly divided into blank group， SHLI standard group， Lonicerae Japonicae Flos（LJF） group， Scutellariae Radix（SR） group， Forsythiae Fructus（FF） group， and 7 groups of SHLI matching groups（groups 1-7）， with 6 rats in each group. Rats in each group were administered the drug intravenously and blood samples were taken after steady state， high performance liquid chromatography（HPLC） characterization profiles of the testing drugs and plasma components in each group were established， and the peak area changes of the drugs and plasma components in each group were calculated after the component groups were classified. Enzyme-linked immunosorbent assay（ELISA） was used to determine the changes of immunoglobulin E（IgE）， histamine（HIS）， tryptase（TPS）， total complement（CH50） and terminal complement complex（C5b-9） in animal blood samples. MATLAB R2020b v9.9.0 software was used to calculate the network balance constants of the component groups with the targets， and the eigenvalues of the matrices composed of network equilibrium constants were calculated and ranked according to their values. ResultELISA results showed that， compared with the blank group， groups 1-3 could significantly increase the IgE level， groups 1-2， groups 4-6 and SHLI standard group could significantly increase the HIS level， group 4 could significantly increase the CH50 level， groups 1， 3-4， LJF group and FF group could significantly increase the TPS level， SR group could significantly increase the C5b-9 level， and the differences were all statistically significant（P<0.05）. According to the retention time of chromatographic peaks， it was classified into 6 component groups from C1 to C6 by HPLC. The order of the network balance constants of each component group was C6>C4>C1>C5>C3>C2， indicating that C6 had the greatest effect on the allergic reaction， and was most likely to be the allergen. The sequence of eigenvalues was C2>C5b-9>C3>C1>CH50>C6>C5>IgE>TPS>C4>HIS， indicating that component group C2 had the greatest contribution to the whole network. ConclusionBased on the correlation analysis of SHLI component group and allergy-like target network， this study clarified that component group C6 may be a potential allergen in SHLI， and the component group C2 may be a key node in the mechanism of drug action， which can provide new strategies and methods for the screening of allergens in TCM injections.

Objective To investigate the effect of intestinal flora on the efficacy of polyethylene glycol losenatide(PEX168)in mice with type 2 diabetes mellitus(T2DM).Methods A total of 50 healthy male C57BL/6 mice were fed with a high-fat diet combined with STZ to establish a T2DM mouse model.Among them,40 were successfully modeled and divided into T2DM group(n=10)and PEX168 group(n=30).PEX168 group was further divided into two sub groups according to HbA1c:ideal group(IE subgroup,HbA1c≤6.5%,n=12)and unsatisfactory group(NE subgroup,HbA1c>6.5%,n=12).IE subgroup was fecal donor,NE subgroup was recipientand further divided into fecal bacteria transplantation subgroup(FMT,n=5)and Sham subgroup(Sham,n=5).Fecal bacteria transplantation(FMT)was used to transfer fecal bacteria from IE group to FMT group.Body weight,food intake and blood glucose were measured every 2 weeks in all the groups.FPG,FIns,HbA1c and insulin resistance index(HOMA-IR)were compared on the 7th day after 10 weeks of intervention in all the groups.Results FPG and body weight were lower at the 4th,6th,8th and 10th week(P<0.05),and food intake was lower in PEX168 group than in T2DM group at the 2nd,4th,6th,8th and 10th week(P<0.05).At the 4th,6th,8th and 10th week after administration,the FPG and body weight were lower in IE subgroup than in NE subgroup(P<0.05),and the food intake was lower at the 0th,4th,8th and 10th week after administration than in NE subgroup(P<0.05).The FBG,body weight and food intake were lower in FMT subgroup than in Sham subgroup at 4,6 and 8 weeks(P<0.05).The FPG,HbA1c,2 hPG,FIns and HOMA-IR were lowerin PEX168 group after treatment than in PEX168 group before treatment and T2DM group after treatment(P<0.05).FPG,HbA1c,FIns,2 hPG and HOMA-IR were lower in IE subgroup after treatment than in IE subgroup before treatment and NE subgroup after treatment(P<0.05).FPG,HbA1c,FIns,2 hPG and HOMA-IR were lower in FMT subgroup after treatment than in FMT subgroup before treatment and Sham subgroup after treatment(P<0.05).Conclusions Differences in intestinal flora between individuals affect the efficacy of PEX168.FMT treatment can improve the composition of intestinal flora and affect the efficacy of PEX168.

【Objective】 To reveal the integral in vivo polypharmacokinetics (PPK) similarity or difference between Jinyinhua (Lonicerae Japonicae Flos, LJF) and Shanyinhua (Lonicerae Flos, LF), and provide reference for their clinical application. 【Methods】 The PPK model and its total quantum statistical moment similarity (TQSMS) method were used to compare the integral PPK profiles of nine components with anti-inflammatory efficacy (rutin, caffeic acid, chlorogenic acid, cryptochlorogenic acid, dispsacoside B, macranthoidin B, isochlorogenic acid A, isochlorogenic acid B, and isochlorogenic acid C) of LJF and LF. A total of 54 Specific Pathogen Free (SPF) grade Kunming (KM) mice were randomized into LJF group and LF group (n = 27), and each group was divided into nine subgroups (n = 3) according to different time points. Subsequently, mice model of p-xylene-induced ear edema was constructed by oral administration of LJF and LF. The concentrations of the nine anti-inflammatory components in plasma samples of the mice were determined by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS). And the pharmacokinetics (PK) parameters of single component and the integral PPK parameters [total quantum statistical moment (TQSM) and TQSMS] of multiple components were calculated by Drug And Statistics (DAS) software and home-brew programs with Excel, respectively. 【Results】 There were significant differences in single-component PK parameters between LJF and LF (P < 0.05). Whereas, no significant differences were found in multi-component TQSM parameters, including total quantum zero moment (AUCT0-t, AUCT0-∞) and total quantum first moment (MRTT0-t, MRTT0-∞) for the total quanta (P > 0.05). Accordingly, single-component TQSMS varied from 0.220 4 to 0.968 9, and that for the total quanta was 0.828 4, suggesting no significant differences in the speed and extent of bioavailability between LJF and LF. Furthermore, in light of high TQSMS (0.828 4), the integral PPK profiles of the nine anti-inflammatory components of LJF and LF were similar under 90% confidence intervals. 【Conclusion】 The PPK model and its TQSMS method are appropriate and efficient to compare the similarity or difference of integral PPK profiles of multi-component herbal medicines. It is suggested in this research that LJF can be replaced with LF or vice versa for anti-inflammatory treatment.

Background Dicamba is widely used in agricultural production in China, but it is extremely soluble in water and can be harmful to human health when it enters the body via water drinking. It is necessary to establish an accurate, sensitive, and rapid detection method to determine the residues of dicamba in domestic drinking water. Objective To establish two methods for the determination of dicamba residues in drinking water by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and gas chromatography-tandem mass spectrometry (GC-MS/MS) respectively. Methods The conditions of the proposed method using HPLC-MS/MS included CAPCELL PAK ST chromatographic column, ammonium formate water solution and methanol as the mobile phase, and isocratic elution. The system was operated under multiple reaction monitoring mode and electrospray negative ionization mode. Trimethylsilylated diazomethane was used as a derivatizing agent for GC-MS/MS, and an external standard curve was used to evaluate the system. The residues of dicamba in seven water samples of tap water or secondary water supply from six regions in Chengdu were detected by the established systems to evaluate their applicability and to understand the status quo of dicamba residues in drinking water. Results For the HPLC-MS/MS, the linear range of dicamba was 1.00-100 μg·L⁻¹, the regression equation was \begin{document}$\hat Y $\end{document}=1250.9X+2681.5, the correlation coefficient was 0.9988, the relative standard deviations were 1.23%-26.3%, the limit of detection was 0.95 μg·L⁻¹, and the spiked recoveries were 91.8%-111%. For the GC-MS/MS, the linear range of dicamba was 0.200-10.0 μg·L⁻¹, the regression equation was \begin{document}$\hat Y $\end{document}=190597X+40911, the correlation coefficient was 0.9993, the relative standard deviations were 0.64%-3.90%, the limit of detection was 0.18 μg·L⁻¹, and the spiked recoveries were 97.3%-105%. No dicamba residue was identified in the seven water samples of tap water or secondary water supply from six regions in Chengdu by the proposed methods. Conclusion The two detection methods established in this study are sensitive and rapid, meet the requirements from the detection of dicamba residues in drinking water, and provide an experimental basis for subsequent research on the detection of dicamba residues. In the future, it is necessary to continue to pay attention to the pollution of dicamba in drinking water in Chengdu.

Objective:To explore the association between dopamine-β-hydroxylase (DβH), norepinephrine transporter (NET) gene polymorphisms and panic disorder(PD).Methods:The structured clinical interview for the diagnostic and statistical manual of mental disorders fourth edition (DSM-Ⅳ) axis Ⅰ disorders was administered by trained clinical psychiatrist, 139 patients with PD(PD group) and 196 healthy controls(control group) were enrolled in the study.Single nucleotide polymorphism(SNP) genotyping was performed using an improved multiplex ligation detection reaction technique.SPSS 16.0 and PLINK softwares were used to compare the allele frequency and genotype distribution.Results:(1)Compared with control group, PD group carried more G allele(76.3% vs 68.4%) and fewer A allele(23.7% vs 31.6%) in NET rs5569, and the difference was significant(χ 2=4.986, OR=0.67, 95% CI: 0.47-0.95, P<0.05). However, the correlation was no longer significant after adjusting for Bonferroni’s multiple testing( P>0.05). (2)The additive model of NET rs5569 showed a association with PD ( OR=0.68, 95% CI: 0.48-0.96, P<0.05). And the recessive model of DβH rs1611114 showed a association with PD( OR=0.42, 95% CI: 0.18-0.96, P<0.05). However, these correlations were no longer significant after adjusting for Bonferroni's multiple testing( P>0.05). (3)No matter allele or genotype, there were no significant differences in DβH (rs129882, rs1611114, rs1611115) and NET (rs2242446, rs28386840) gene polymorphisms between panic disorder group and control group(all P>0.05). Conclusion:The present study indicates that there is no significant association of DβH and NET gene polymorphisms with PD.