ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Objective To analyze the efficacy and safety of denosumab(DEN)in the treatment of type 2 diabetes mellius(T2DM)complicated with osteoporosis(OP).Methods The DEN's efficacy on bone metabolism and glucose metabolism in patients with T2DM and OP was retrospectively analyzed through a before-and-after self-controlled design.Forty-one T2DM patients combined with OP who were treated in The First Hospital of Changsha from January 2022 to December 2022 were selected.All patients were observed with subcutaneous injection of DEN 60 mg every 6 months for 12 months.The changes of HbA1c,FPG,bone metabolism indexes,25-hydroxyvitamin D[25(OH)D]and bone mineral density(BMD)of patients before and after DEN treatment were compared.The adverse reactions of DEN were recorded.Results After 12 months of treatment,25(OH)D,the BMD oflumbar vertebra(L1～4),left femoral neck and left hip were higher than before treatment(P<0.05),while the osteocalcin,β-collagen special series,parathyroid hormone and alkaline phosphatase were lower than before treatment(P<0.05),and the adverse reactions were reduced.Conclusions DEN can significantly improve bone metabolism in patients with T2DM and osteoporosis,increase BMD of lumbar spine and whole hip with fewer adverse reactions.

Objective To analyze the efficacy and safety of denosumab(DEN)in the treatment of type 2 diabetes mellius(T2DM)complicated with osteoporosis(OP).Methods The DEN's efficacy on bone metabolism and glucose metabolism in patients with T2DM and OP was retrospectively analyzed through a before-and-after self-controlled design.Forty-one T2DM patients combined with OP who were treated in The First Hospital of Changsha from January 2022 to December 2022 were selected.All patients were observed with subcutaneous injection of DEN 60 mg every 6 months for 12 months.The changes of HbA1c,FPG,bone metabolism indexes,25-hydroxyvitamin D[25(OH)D]and bone mineral density(BMD)of patients before and after DEN treatment were compared.The adverse reactions of DEN were recorded.Results After 12 months of treatment,25(OH)D,the BMD oflumbar vertebra(L1～4),left femoral neck and left hip were higher than before treatment(P<0.05),while the osteocalcin,β-collagen special series,parathyroid hormone and alkaline phosphatase were lower than before treatment(P<0.05),and the adverse reactions were reduced.Conclusions DEN can significantly improve bone metabolism in patients with T2DM and osteoporosis,increase BMD of lumbar spine and whole hip with fewer adverse reactions.

Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Objective To analyze the correlation between sleep disorder and bone mineral density(BMD)and fracture risk in middle-aged and elderly patients with type 2 diabetes mellitus(T2DM).Methods 150 T2DM patients over 50 years old who were hospitalized in the Endocrine Metabolism Department of Changsha First Hospital from September 2022 to April 2023 were selected.According to the Pittsburgh Sleep Quality Index(PSQI),they were divided into a non-sleep disorder group(66 cases)and a sleep disorder group(84 cases).The general data and biochemical indicators of the two groups were compared.The relationship between sleep disorder and BMD,fracture risk was analyzed.Results Compared with the non-sleep disorder group,HbA1c,FPG,female proportion,the proportion of hypnotics and risk scores of vertebral fracture in the sleep disorder group were higher,and BMI,BMD of femoral neck and hip were lower(P<0.05).Pearson correlation analysis showed a negative correlation between PSQI score and BMD of femoral neck and hip(P<0.05).Pearson or Spearman correlation analysis showed that the risk scores of vertebral fracture was positively correlated with age,duration of DM,use of hypnotics and sleep disorder(P<0.05 or P<0.01),and negatively correlated with BMD of femoral neck and hip(P<0.01).Binary logistic regression analysis showed that FPG,use of hypnotics and hip BMD were influencing factors of sleep disorders,while sleep disorders and PSQI scores were influencing factors of osteoporosis.Conclusions For middle-aged and elderly T2DM patients,improving sleep may help reduce the occurrence of osteoporosis and reduce the risk of fractures.

Objective:To study the expression of forkhead box P1 (FOXP1) in intrahepatic cholangiocarcinoma (ICC), and its clinicopathological and prognostic significance.Methods:The clinical data of ICC patients treated with radical resection at Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 1, 2013 to December 12, 2019 were retrospectively analysed. Of 48 ICC patients, there were 24 males and 24 females, with age of (59.1±10.1) years old (range 42 to 83 years old). Their clinicopathological data, including age, gender, tumor size, degree of differentiation, and staging were recorded. Immunohistochemical method was used to detect the expression of FOXP1 protein in ICC cancer tissues and the corresponding adjacent normal tissues. Kaplan-Meier method was used to calculate survival rates and to construct survival curves of patients. Cox regression model was used to analyze factors affecting prognosis of patients.Results:Forty-eight ICC cancer tissues and 40 corresponding paracancerous tissues were collected. The positive rates of FOXP1 proteins in ICC were significantly lower than the adjacent normal tissues [54.2%(26/48) vs. 92.5%(37/40), χ 2=15.76, P<0.05]. The degrees of tumor differentiation, lymph node metastasis, organ invasion and TNM staging were related to expression of FOXP1 ( P<0.05). Forty-two patients were followed-up with a median follow-up time of 11.5 (7.75, 19.25) months. Cox multivariate analysis revealed that invasion to adjacent organs, lymph node metastasis, high TNM staging (stage Ⅲ) and negative expression of FOXP1 were independent risk factors affecting overall survival of ICC patients. The overall survival and recurrence-free survival of FOXP1-positive ICC patients were 17.5 months and 15.5 months, which were significantly higher than the 14.0 months and 11.1 months, respectively, in FOXP1-negative patients. Conclusion:Negative FOXP1 expression was closely correlated with aggressive biological behavior and poor prognosis of ICC. FOXP1 may be used as new diagnostic and therapeutic targets.

Objective:To investigate the association of body weight and body mass index (BMI) with bone mineral density (BMD) and osteoporotic risk in elderly men with type 2 diabetes mellitus (T2DM).Methods:210 elderly male patients with T2DM admitted to the Department of Endocrinology of the First Hospital of Changsha from June 2017 to May 2018 were selected as the research objects. The height, weight and bone mass index (BMI) were measured. BMDs of the left hip [including femoral neck (FN), greater trochanter (G.T.), intertrochanter (InTro), and total hip (TH)] and lumbar spine (LS) were measured in 210 elderly male patients with T2DM by dual-energy X-ray absorption method. Patients were divided into three groups according to BMI: the overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), the obesity (BMI≥28.0 kg/m 2) group, and the normal group (18.5 kg/m 2≤BMI<24.0 kg/m 2). The influence of body weight and BMI on BMD and osteoporotic risk in these elderly men with T2DM was analyzed. Results:The BMDs in various sites of the hip of the overweight group and obesity group were higher compared with those in the normal weight group ( P<0.05). There was a positive correlation between weight and BMI with BMDs in various sites of the hip femoral neck (including FN, G. T., InTro, and TH) ( r=0.239-0.427, P<0.05). All patients were divided into different tertiles (T1-T3) stratified by weight and BMI respectively. The BMDs in various sites of the hip increased with tertiles stratified by weight ( P<0.05). The TH-BMD also increased with tertiles stratified by BMI ( P<0.05). The odd ratios ( OR) were calculated using T3 as the control group and T1 as the case group, using T2 as the control group and T1 as the case group, respectively. The osteoporotic risks of T1/T3, T1/T2 at FN stratified by weight were significantly increased by 4.50 times ( OR=4.50, 95% CI: 1.41-14.35) and 9.27 times ( OR=9.27, 95% CI: 2.03-42.30); The osteoporotic risks of T1/T3, T1/T2 at TH were significantly increased by 3.25 times ( OR=3.25, 95% CI: 1.10-9.59) and 8.50 times ( OR=8.50, 95% CI: 1.85-38.99). The osteoporotic risks of T1/T3, T1/T2 at FN stratified by BMI respectively were significantly increased by 4.13 times ( OR=4.13, 95% CI: 1.28-13.25) and 5.58 times ( OR=5.58, 95% CI: 1.53-20.42); while the osteoporotic risks of T1/T3, T1/T2 at TH stratified by BMI were not significantly increased ( P>0.05). There was no statistically significant difference in BMDs and the osteoporotic risks of the LS among T1, T2, and T3, regardless of stratified by weight or BMI ( P>0.05). Conclusions:For elderly males with T2DM, weight and BMI are important factors affecting BMDs in the hip, and also affecting the osteoporotic risks of the hip, especially that of FN. Osteoporotic risks of the FN decrease with the increase of weight and BMI within a certain range.

OBJECTIVE: To investigate the changes in diversity, relative abundance and distribution of intestinal flora in patients with chronic rhinosinusitis and nasal polyps (CRSwNP) using high-throughput sequencing technology identify the intestinal flora significantly related to pathogenesis and progression of CRSwNP. METHODS: Ten patients with CRSwNP hospitalized in the Department of Otolaryngology-Head and Neck Surgery of Guangdong Provincial People's Hospital were selected as the case group with 10 healthy volunteers recruited in the same period as the control group. Fecal genomic DNA extraction kit was used to extract the DNA in the fecal samples, and the DNA fragment length was measured and quantified. The V3 and V4 highly variable regions of the 16S rDNA gene of prokaryotes were amplified followed by library construction, Illumina MiSeq sequencing, sequence alignment and species identification analysis. The relative abundance, diversity and distribution characteristics of the intestinal flora were analyzed, and the relevant metabolic pathways were predicted. RESULTS: Compared with the control group, the patients with CRSwNP had significant changes in the overall structure of the intestinal flora, highlighted by increased abundance of Saccharopolyspora and decreased contents of , , and . Among the metabolic pathways predicted to be associated with CRSwNP, 9 showed significant changes in patients with CRSwNP as compared with the control group ( < 0.05). CONCLUSIONS Patients with CRSwNP have significant changes in the structural characteristics of intestinal flora related with multiple metabolic pathways, and these changes may play an important role in the development of chronic rhinosinusitis.