Objective:To explore the feasibility of applying deep learning image reconstruction (DLIR) in low-radiation dose liver dual-energy CT to further improve image quality, diagnostic confidence of lesion, and accuracy of iodine concentration (IC) measurement.Methods:This prospective cohort study enrolled 60 patients scheduled for enhanced liver CT at the First Affiliated Hospital of Anhui Medical University from June 2023 to January 2024. The participants were randomly assigned into the standard dose group and low radiation dose group with 30 cases in each using randomized block method. The standard radiation dose group underwent standard-radiation dose 120 kVp scans during the venous phase, while the low radiation dose group underwent low radiation dose scans with a rapid kVp-switching spectral scanning mode at 80 kVp and 140 kVp. The effective radiation dose (ED) was calculated for both groups. The standard radiation dose group was reconstructed using adaptive statistical iterative reconstruction-V (ASIR-V) algorithm 40% (AR40 120 kVp). The low radiation dose group using high-intensity DLIR (DLIR-H) to reconstructed 40 keV and 50 keV virtual monoenergetic images (VMI) (DH-VMI 40 keV, DH-VMI 50 keV). The image quality of the above three groups was objectively evaluated through the measurement of image noise and calculation of contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) for the liver and portal vein; and the image quality was subjectively scored for image noise, contrast, lesion conspicuity, and diagnostic confidence. In the low radiation dose group, DLIR-H and ASIR-V40% reconstructed iodine maps were used to measure the liver and portal vein of IC values, standard deviations (SD), and coefficients of variation (CV). One-way analysis of variance or Kruskal-Wallis H test was used to compare the differences of subjective and objective image quality among the three groups, and paired t-test was used to compare the differences in measurement indexes between DLIR-H and ASIR-V40% reconstructed iodine maps. Results:The ED in the low radiation dose group [(2.2±0.5) mSv] was reduced by 56.8% compared to the conventional radiation dose group [(5.4±1.4) mSv]. Objective evaluations demonstrated that DH-VMI 40 keV had higher image noise, CNR, and SNR for liver and portal veins compared to AR40 120 kVp ( P<0.001). DH-VMI 50 keV had lower image noise ( P=0.200), with higher CNR and SNR for the liver and portal vein compared to AR40 120 kVp( P<0.001). In subjective evaluation, there was no statistically significant difference in image noise scores between DH-VMI 40 keV and AR40 120 kVp ( P>0.05), while the image noise score for DH-VMI 50 keV was lower than that of AR40 120 kVp ( P<0.05). Both DH-VMI 40 keV and DH-VMI 50 keV had higher scores for contrast, lesion conspicuity, and diagnostic confidence compared to those of AR40 120 kVp ( P<0.05). In the low radiation dose group, there was no statistically significant difference in IC values for the liver and portal vein between the ASIR-V40% and DLIR-H algorithm reconstructed iodine maps ( P>0.05). The SD and CV of liver and portal vein in the DLIR-H reconstructed iodine maps were lower than those in the ASIR-V40% reconstructed iodine maps ( P<0.001). Conclusions:DLIR can effectively reduce the image noise of low-energy (40, 50 keV) VMI, enhance lesion conspicuity and diagnostic confidence, and improve measurement accuracy without affecting IC values.

Objective:To explore the feasibility of applying deep learning image reconstruction (DLIR) in low-radiation dose liver dual-energy CT to further improve image quality, diagnostic confidence of lesion, and accuracy of iodine concentration (IC) measurement.Methods:This prospective cohort study enrolled 60 patients scheduled for enhanced liver CT at the First Affiliated Hospital of Anhui Medical University from June 2023 to January 2024. The participants were randomly assigned into the standard dose group and low radiation dose group with 30 cases in each using randomized block method. The standard radiation dose group underwent standard-radiation dose 120 kVp scans during the venous phase, while the low radiation dose group underwent low radiation dose scans with a rapid kVp-switching spectral scanning mode at 80 kVp and 140 kVp. The effective radiation dose (ED) was calculated for both groups. The standard radiation dose group was reconstructed using adaptive statistical iterative reconstruction-V (ASIR-V) algorithm 40% (AR40 120 kVp). The low radiation dose group using high-intensity DLIR (DLIR-H) to reconstructed 40 keV and 50 keV virtual monoenergetic images (VMI) (DH-VMI 40 keV, DH-VMI 50 keV). The image quality of the above three groups was objectively evaluated through the measurement of image noise and calculation of contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) for the liver and portal vein; and the image quality was subjectively scored for image noise, contrast, lesion conspicuity, and diagnostic confidence. In the low radiation dose group, DLIR-H and ASIR-V40% reconstructed iodine maps were used to measure the liver and portal vein of IC values, standard deviations (SD), and coefficients of variation (CV). One-way analysis of variance or Kruskal-Wallis H test was used to compare the differences of subjective and objective image quality among the three groups, and paired t-test was used to compare the differences in measurement indexes between DLIR-H and ASIR-V40% reconstructed iodine maps. Results:The ED in the low radiation dose group [(2.2±0.5) mSv] was reduced by 56.8% compared to the conventional radiation dose group [(5.4±1.4) mSv]. Objective evaluations demonstrated that DH-VMI 40 keV had higher image noise, CNR, and SNR for liver and portal veins compared to AR40 120 kVp ( P<0.001). DH-VMI 50 keV had lower image noise ( P=0.200), with higher CNR and SNR for the liver and portal vein compared to AR40 120 kVp( P<0.001). In subjective evaluation, there was no statistically significant difference in image noise scores between DH-VMI 40 keV and AR40 120 kVp ( P>0.05), while the image noise score for DH-VMI 50 keV was lower than that of AR40 120 kVp ( P<0.05). Both DH-VMI 40 keV and DH-VMI 50 keV had higher scores for contrast, lesion conspicuity, and diagnostic confidence compared to those of AR40 120 kVp ( P<0.05). In the low radiation dose group, there was no statistically significant difference in IC values for the liver and portal vein between the ASIR-V40% and DLIR-H algorithm reconstructed iodine maps ( P>0.05). The SD and CV of liver and portal vein in the DLIR-H reconstructed iodine maps were lower than those in the ASIR-V40% reconstructed iodine maps ( P<0.001). Conclusions:DLIR can effectively reduce the image noise of low-energy (40, 50 keV) VMI, enhance lesion conspicuity and diagnostic confidence, and improve measurement accuracy without affecting IC values.

Objective:To construct a prediction model for peripherally inserted central catheter-related upper extremity deep vein thrombosis (PICC-UEDVT) in patients with traumatic brain injury (TBI) and validate its effectiveness.Methods:A case-control study was conducted on the clinical data of 222 TBI patients admitted to Xiangya Hospital of Central South University from January 2019 to December 2021, including 171 males and 51 females, aged 18-86 years [54.5(46.0, 65.0)years]. Glasgow coma scale (GCS) motor score was 4.0(3.0, 5.0)points on the day of catheterization. A total of 82 patients (36.9%) had PICC-UEDVT. The patients were randomly divided with a ratio of 7∶3 into training set ( n=156, including 58 with PICC-UEDVT) and validation set ( n=66, including 24 with PICC-UEDVT) using R programming language. The baseline data of general information, intravenous medication, catheterization, and laboratory indices were compared between the training set and the validation set. Lasso regression analysis was employed to identify those variables, with the diagnosis of PICC-UEDVT as the outcome variable. Variables with non-zero regression coefficients were included in a multifactorial Logistic regression model and independent variables were selected based on the Akaike Information Criterion (AIC) of R programming language. The regression equation was constructed, based on which, the predictive nomogram model was constructed for PICC-UEDVT in TBI patients. Receiver operating characteristic (ROC) curves for the training set and validation set were plotted and the discriminability of the model was assessed. The calibration of the model was evaluated using the Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curves and the clinical practicality of the model was assessed with decision curve analysis (DCA). Results:The baseline analysis of both the training set and the validation set demonstrated a well-balanced sample distribution. Through Lasso regression analysis, 5 prediction variables were identified: GCS motor score on the day of catheterization, Caprini score on the day of catheterization, use of glucocorticoids, tip position of the catheter, and D-dimer (D-D) level before catheterization. The multivariate Logistic regression analysis revealed that the Caprini score on the day of catheterization ( OR=1.20, 95% CI 1.08, 1.33), use of glucocorticoids ( OR=3.13, 95% CI 0.99, 10.46), and D-D level before catheterization ( OR=1.16, 95% CI 1.07, 1.33) were independent risk factors for PICC-UEDVT in TBI patients. The regression equation was developed as: Logit [ P/(1- P)]=-2.56+0.18×"Caprini score on the day of catheterization"+1.14×"use of glucocorticoids"+0.15×"D-D level before catheterization". In the prediction model which was constructed based on the equation, the AUC values for the training set and validation set were 0.73 (95% CI 0.65, 0.81) and 0.77 (95% CI 0.65, 0.87) respectively. The H-L goodness-of-fit test indicated χ2=3.28, P=0.950 for the training set and χ2=13.05, P=0.160 for the validation set. Calibration curves for both sets demonstrated alignment between the actual and predicted probabilities of PICC-UEDVT in TBI patients. DCA results showed that the net benefit rate of patients was optimal when the threshold probability ranged from 15% to 72% for the training set and from 10% to 81% for the validation set. Conclusion:The prediction model based on the Caprini score on the day of catheterization, use of glucocorticoids, and D-D level before catheterization demonstrates good predictive accuracy, calibration and clinical practicality in predicting PICC-UEDVT in TBI patients.

Objective:To investigate the application of cardiac magnetic resonance (CMR) quantitative techniques in evaluating myocardial involvement differences between new onset and longstanding systemic lupus erythematosus (SLE) patients.Methods:From August 2020 to April 2023, 14 new onset and 15 longstanding SLE patients treated at the First Affiliated Hospital of Anhui Medical University were prospectively included as the study group. Additionally, 18 age-, gender-, body surface area-, and body mass index-matched healthy volunteers were included as the control group. Clinical baseline data, electrocardiograms, and CMR results including left ventricular ejection fraction (LVEF), left ventricular end-systolic volume index (LVESVI), left ventricular end-diastolic volume index (LVEDVI), cardiac index (CI), left ventricular stroke volume index (LVSVI), left ventricular mass index (LVMI), myocardial strain, native T 1 values, and T 2 values were collected. One-way analysis of variance (ANOVA) or Kruskal-Wallis H test was used to compare the quantitative parameters among the three groups. Bonferroni correction was applied for pairwise group comparisons. Results:The native T 1 values [1 114.50 (1 089.33, 1 150.39) ms, 1 085.32 (1 051.31, 1 129.75) ms] and T 2 values [(55.9±3.4) ms, (53.3±1.5) ms] of new onset and longstanding SLE patients were higher than those of the healthy control group [native T 1 values 1052.62 (1024.75, 1077.59) ms, H=17.72, P<0.001; T 2 values (51.2±1.3) ms, F=18.70, P<0.001]. The T 2 values of the new onset SLE group was higher than that of the longstanding SLE group ( P<0.05). The LVEDVI[86.87 (80.80, 93.55) ml/m 2], LVSVI [54.63 (50.42, 59.03) ml/m 2], and LVMI [48.39 (41.65, 53.26) g/m 2] of the new onset SLE group were higher than those of the control group [LVEDVI: 71.11 (65.80, 81.28) ml/m 2, Z=3.02, P=0.003; LVSVI: 42.17 (40.36, 51.33) ml/m 2, Z=2.76, P=0.006; LVMI: 38.48 (35.22, 43.83) g/m 2, Z=3.10, P=0.002]. The LVEDVI and LVSVI of the new onset SLE group were also higher than those of the longstanding SLE group [LVEDVI: 73.30 (69.87, 84.71) ml/m 2, Z=1.97, P=0.048; LVSVI: 45.53 (42.28, 50.98) ml/m 2, Z=2.34, P=0.020]. Conclusion:Myocardial involvement is more severe in new onset SLE patients, whereas acute myocardial injury is alleviated in longstanding SLE patients. Therefore, early detection of cardiac involvement in SLE patients is crucial for improving prognosis.

Purpose To explore the influence of different spin-locking frequencies on T1ρ values based on a 3.0T MR system.Materials and Methods Thirty-eight healthy adult volunteers underwent cardiac magnetic resonance imaging at the First Affiliated Hospital of Anhui Medical University from July to September 2023.T1ρ mapping and short-axis cine imaging with steady-state free precession sequences were performed with 3.0T MR system.T1ρ mapping sequence in three short-axis slices with three spin-lock frequencies at the amplitude of 5 Hz,300 Hz,400 Hz,and 500 Hz was scanned,respectively.T1ρ relaxation times and myocardial fibrosis index were quantified for each slice and each myocardial segment,the difference in T1ρ of different spin-locking frequencies and myocardial fibrosis index was analyzed using one-way repeated-measures analysis of variance method.Results T1ρ of 5 Hz,300 Hz,400 Hz,and 500 Hz were(33.9±2.8)ms,(43.4±2.1)ms,(45.4±2.6)ms and(46.5±2.4)ms,respectively;and T1ρ values showed a significant progressive increase from the low spin-lock frequency to the high spin-lock frequency of the heart(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.043).In addition,the measured myocardial fibrosis index at 300 Hz,400 Hz and 500 Hz were(9.4±2.2)ms,(11.3±2.9)ms and(12.6±2.7)ms,respectively.Statistical analysis underscored significant variations among these measurements(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.033).Conclusion In this prospective study,myocardial T1ρ values for the specific cardiac magnetic resonance setting are provided,and we found that spin-lock frequency can affect the T1ρ values.

Purpose To explore the changes in biventricular volume and mass in chronic kidney disease(CKD)patients with preserved ejection fraction using cardiac magnetic resonance(CMR),and evaluate cardiac function using tissue-tracking strain analysis.Materials and Methods The retrospective analysis of 40 CKD patients without symptoms of cardiovascular disease,diabetes and the estimated glomerular filtration rate<60 ml/(min·1.73 m2)who were treated at the First Affiliated Hospital of Anhui Medical University from October 2020 to June 2023 and 25 age-and gender-matched healthy volunteers.All participants underwent 1.5T CMR scans to calculate left and right ventricular function,myocardial strain and native T1 and T2 values,and differences in various imaging parameters between the two groups were compared.Results The native T1 value[(1 109.6±35.9)ms]and T2 value[(58.1±2.9)ms]of CKD patients were significantly higher than those in control group[(1 046.3±15.9)ms,(53.3±2.3)ms](t=8.296,6.916,both P<0.001).The left ventricular end-diastolic volume index,left ventricular end-systolic volume index,left ventricular mass index,right ventricular end-diastolic volume index,right ventricular end-systolic volume index and right ventricular mass index of CKD patients were significantly increased compared with the control group(t=3.233,3.350,5.751,7.746,5.937,2.363,all P<0.05),while the left and right ventricular strain parameters,left ventricular global longitudinal strain,left ventricular global circumferential strain,left ventricular global radial strain,right ventricular global longitudinal strain,right ventricular global circumferential strain and right ventricular global radial strain were significantly decreased(t=9.506,9.072,-10.603,10.496,11.574,-4.018,all P<0.001),and the estimated glomerular filtration rate exhibited significant correlations with left ventricular global longitudinal strain(r=-0.636),left ventricular global radial strain(r=0.688),right ventricular global longitudinal strain(r=-0.513),right ventricular global circumferential strain(r=-0.827)and right ventricular global radial strain(r=0.514)(all P<0.001).Conclusion CMR can quantitatively assess myocardial fibrosis and edema in patients with CKD,and tissue tracking strain analysis can detect myocardial motion abnormalities before changes in ventricular ejection fraction,offering value in the early detection of cardiac involvement in CKD patients..

The effects of host factors ADP-ribosylation factor 4 (ARF4) and ADP-ribosylation factor 5 (ARF5) upon Zika virus (ZIKV) infection in vivo were characterized by construction of gene knockout mice via CRISPR-Cas9. Firstly, ARF5 and ARF4 genes were modified by the CRISPR-Cas9 system and then microinjected into the fertilized eggs of C57BL/6JGpt mice. Fertilized eggs were transplanted to obtain ARF4 or ARF5 knockout (ARF4KO or ARF5KO) mice, and ARF4/5 double knockout mice were achieved by the mating between ARF4KO and ARF5KO mice (ARF4KO/ARF5KO). Then, the mouse genotypes were identified by PCR to identify the positive knockout mice, and RT-qPCR was employed to examine the knockout efficiency. The mice were then infected with ZIKV and the blood and tissue samples were collected after 2, 4, and 6 days. RT-qPCR was then employed to determine the virus load, and hematoxylin-eosin staining was employed to observe the pathological changes in the tissue. The results showed that expected PCR bands were detected from ARF4KO^-/+, ARF5KO^-/-, and ARF4KO^-/+/ARF5KO^-/- mice, respectively. The results of mRNA transcription measurement indicated the significant knockdown of ARF4 by 37.8%-50.0% but not ARF5 in ARF4KO^-/+ compared with the wild-type mice. Meanwhile, complete knockout of ARF5 and no changes in ARF4 were observed in ARF5KO^-/- mice. Additionally, completed knockout of ARF5 and down-regulated mRNA level of ARF4 in the lung, kidney, and testis were detected in ARF4KO^-/+/ARF5KO^-/-mice in comparison with the wild-type mice. The virus load in the serum decreased in ARF4KO^-/+ mice, while it showed no significant change in ARF5KO^-/- or ARF4KO^-/+/ARF5KO^-/- mice compared with that in the wild type. Meanwhile, ARF4KO^-/+ mice showcased no significant difference in virus load in various tissues but attenuated pathological changes in the brain and testis compared with the wild-type mice. We successfully constructed ARF4KO and ARF5KO mice by CRISPR-Cas9 in this study. ARF4 rather than ARF5 is essential for ZIKV infection in vivo. This study provided animal models for studying the roles of ARF4 and ARF5 in ZIKV infection and developing antivirals.
Animals ; ADP-Ribosylation Factors/metabolism* ; Zika Virus Infection/genetics* ; Mice ; Mice, Knockout ; Zika Virus/genetics* ; Mice, Inbred C57BL ; CRISPR-Cas Systems ; Viral Load ; Male ; Female

To explore the prevalence and related risk factors of osteoporosis (OP) in the elderly ≥60 years old in Jiuting Town, Songjiang District, Shanghai City. A total of 2 175 local residents aged ≥60 years old who participated in the questionnaire survey at the physical examination center of Jiuting Community Health Service Center, Songjiang District, Shanghai City from July 2021 to December 2022 were selected by a cross-sectional study with multi-stage sampling method. Questionnaire survey, blood test and bone mineral density (BMD) test were conducted.The differences in all the parameters among the elderly with different bone mass level were analyzed using t-test, chi-square test, binary logistic regression was used to screen the potential risk factors of OP.The results showed that the prevalence of OP in the elderly aged≥60 years old in Jiuting Town was 45.89%.The prevalence of OP increased gradually with the advanced age. The prevalence rate of male was significantly lower than that of female( χ2=211.94, P<0.01).Single factor analysis showed that Dairy products( χ2=9.01, P<0.05), taking calcium( χ2=42.88, P<0.05), physical exercise( χ2=24.73, P<0.05), exercise time( χ2=76.40, P<0.05) and sun exposure( χ2=55.71, P<0.05) were the protective factors for osteoporosis. Multifactor analysis showed that female( wald χ 2=71.46, P<0.001) were the risk factors for osteoporosis. The age of the osteoporosis group was older than that of the non-osteoporosis group [osteoporosis group (72.47±6.89) years old, non-osteoporosis group (68.73±6.34) years old, and the difference was statistically significant, t=-11.67, P<0.05]. The waist circumference, alanine aminotransferase (ALT), creatinine (CR), blood urea nitrogen (BUN) and uric acid (UA) in the non-osteoporosis group were higher than those in the osteoporosis group, and the difference was statistically significant (all P<0.05). The levels of high-density lipoprotein (HDL)[osteoporosis group (1.34±0.35) mol/L, non-osteoporosis group (1.41±0.35) mol/L, t=-4.51, P<0.05] and alkaline phosphatase (ALP)[osteoporosis group (88.46±25.65) mol/L, osteoporosis group (94.56±32.32) mol/L, t=-4.79, P<0.05] in the osteoporosis group were lower than those in the non-osteoporosis group.Low awareness of the knowledge of osteoporosis risk factors(smoking, drinking coffee, high salt and drinking alcohol are 47.28%, 24.15%, 47.79% and 44.90%, respectively), diagnosis and treatment(The symptoms, prognosis, screening methods, medication time and follow-up screening time of osteoporosis were 26.87%, 17.88%, 21.77%, 6.65% and 15.99%, respectivel) and prevention(exercise mode, high calcium food, optimal age of calcium supplementation, the effect of vitamin D on OP, and the appropriate amount of milk to prevent osteoporosis were 33.16%, 42.01%, 13.27%, 12.07%, 9.01%, respectively) were in Jiuting Town. In conclusion, the prevalent rate of OP in the elderly ≥60 years old in Jiuting Town is 45.89%.The main risk factors are female and advanced age. Drinking tea, dairy products, combination of meat and vegetable, taking calcium, physical exercise and sun exposure were the protective factors for osteoporosis. The awareness rate of osteoporosis related knowledge is low, and health education should be strengthened in order to control and prevent the occurrence and development of osteoporosis.

To explore the prevalence and related risk factors of osteoporosis (OP) in the elderly ≥60 years old in Jiuting Town, Songjiang District, Shanghai City. A total of 2 175 local residents aged ≥60 years old who participated in the questionnaire survey at the physical examination center of Jiuting Community Health Service Center, Songjiang District, Shanghai City from July 2021 to December 2022 were selected by a cross-sectional study with multi-stage sampling method. Questionnaire survey, blood test and bone mineral density (BMD) test were conducted.The differences in all the parameters among the elderly with different bone mass level were analyzed using t-test, chi-square test, binary logistic regression was used to screen the potential risk factors of OP.The results showed that the prevalence of OP in the elderly aged≥60 years old in Jiuting Town was 45.89%.The prevalence of OP increased gradually with the advanced age. The prevalence rate of male was significantly lower than that of female( χ2=211.94, P<0.01).Single factor analysis showed that Dairy products( χ2=9.01, P<0.05), taking calcium( χ2=42.88, P<0.05), physical exercise( χ2=24.73, P<0.05), exercise time( χ2=76.40, P<0.05) and sun exposure( χ2=55.71, P<0.05) were the protective factors for osteoporosis. Multifactor analysis showed that female( wald χ 2=71.46, P<0.001) were the risk factors for osteoporosis. The age of the osteoporosis group was older than that of the non-osteoporosis group [osteoporosis group (72.47±6.89) years old, non-osteoporosis group (68.73±6.34) years old, and the difference was statistically significant, t=-11.67, P<0.05]. The waist circumference, alanine aminotransferase (ALT), creatinine (CR), blood urea nitrogen (BUN) and uric acid (UA) in the non-osteoporosis group were higher than those in the osteoporosis group, and the difference was statistically significant (all P<0.05). The levels of high-density lipoprotein (HDL)[osteoporosis group (1.34±0.35) mol/L, non-osteoporosis group (1.41±0.35) mol/L, t=-4.51, P<0.05] and alkaline phosphatase (ALP)[osteoporosis group (88.46±25.65) mol/L, osteoporosis group (94.56±32.32) mol/L, t=-4.79, P<0.05] in the osteoporosis group were lower than those in the non-osteoporosis group.Low awareness of the knowledge of osteoporosis risk factors(smoking, drinking coffee, high salt and drinking alcohol are 47.28%, 24.15%, 47.79% and 44.90%, respectively), diagnosis and treatment(The symptoms, prognosis, screening methods, medication time and follow-up screening time of osteoporosis were 26.87%, 17.88%, 21.77%, 6.65% and 15.99%, respectivel) and prevention(exercise mode, high calcium food, optimal age of calcium supplementation, the effect of vitamin D on OP, and the appropriate amount of milk to prevent osteoporosis were 33.16%, 42.01%, 13.27%, 12.07%, 9.01%, respectively) were in Jiuting Town. In conclusion, the prevalent rate of OP in the elderly ≥60 years old in Jiuting Town is 45.89%.The main risk factors are female and advanced age. Drinking tea, dairy products, combination of meat and vegetable, taking calcium, physical exercise and sun exposure were the protective factors for osteoporosis. The awareness rate of osteoporosis related knowledge is low, and health education should be strengthened in order to control and prevent the occurrence and development of osteoporosis.

Abstract: Objective To analyze and compare the differences in serum lipid metabolomics between patients with moderate to severe acne and healthy controls to understand the characteristics of serum lipid metabolism in acne patients. Methods Serum samples were collected from 30 patients with moderate to severe acne and 30 healthy controls matched for age, gender and body mass index in the Department of Dermatology, the Affiliated Hospital of Southwest Medical University from May 2019 to Apr. 2020. Serum lipid metabolomics was analyzed by liquid chromatography-tandem mass spectrometry. Partial least squares discriminant analysis (PLS-DA) was used for multivariate statistical analysis of differentially expressed lipid metabolites. The metabolic pathways with significant differences between the two groups were screened by Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Using Mann-Whitney U test to calculate differential metabolites. Spearman correlation analysis was used to analyze the correlation between serum PC (18: 2e/20: 2) concentration and acne severity. Results The PLS-DA results showed that the composition of serum lipid metabolites in acne patients was significantly separated from that in healthy controls. Of the top 30 lipid metabolites with the most significant differences, four kinds of triglycerides (TG), two kinds of diglycerides (DG), six kinds of phosphatidylcholine (PC), one kind of MePC, two kinds of sphingomyelin (SM), two kinds of phosphatidylinositol (PI), two kinds of ceramide (monohexosyl ceramide, Hex1Cer;dihexosyl ceramide, Hex2Cer), two cardiolipin (CL) were found to be increased in the acne group (P<0.05). The levels of one kind of DG, two kinds of lysophosphatidyl ethanolamines (LPE), one kind of dimethylphosphatidyl ethanolamine (dMePE), one kind of bismethyl phosphatidic acid (BisMePA), three kinds of phosphatidyl ethanolamine (PE) and one kind of ceramide were found to be decreased in the acne group (P<0.05), and most of them belonged to phospholipid metabolites. Spearman correlation analysis showed that serum PC (18:2e/20:2) concentration was positively correlated with acne severity (r=0.456, P=0.004). KEGG enrichment function analysis revealed that the differential lipid metabolites were primarily enriched in metabolic pathways such as sphingolipid signaling pathway, cholesterol metabolism, insulin resistance, glycerophospholipid metabolism, among which the sphingolipid signaling pathway may play an important role. Conclusion There are significant differences in serum lipid metabolism between acne patients and healthy controls. Lipid metabolism disorders may be related to the pathogenesis of acne, but it’s molecular mechanism still needs further experimental exploration.