Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Dilated cardiomyopathy(DCM)has a concealed onset with left or even whole heart enlargement as the main imaging manifestation.It is a common primary disease of heart failure and arrhythmia.With the continuous deepening of research in recent years,the intrinsic molecular mechanism of regulatory cell death(RCD)has gradually become clear.Researchers have found that the RCD mode plays a very important role in the occurrence and development of DCM.At present,the RCD modes involved in DCM mainly include apoptosis,necrotic apoptosis,pyroptosis,iron death,autophagy,and cuproptosis,and a certain correlation exists among them,which interact and regulate each other.This article provides an overview of the current research status on the mechanisms of the six RCD modes involved in DCM to provide a reference for future basic research and clinical applications.

Objective:To observe the efficacy of vitrectomy combined with subretinal injection of tissue plasminogen activator (t-PA) in the treatment of macular hemorrhage (SMH).Method:An observational case series study was performed.Twelve eyes of 12 SMH patients diagnosed in Tianjin Medical University Eye Hospital were included from February 2022 to November 2022, including 11 eyes of polypoid choroidal vascular disease (PCV) and 1 eye of retinal artery aneurysm.There were 5 males and 7 females, aged 56 to 78 years old, with an average age of (65.67±8.09) years.Two eyes had intraocular lenses and 10 eyes were with cataracts.Nine cases had hypertension and 2 cases had diabetes.The duration of SMH was 2 to 25 days, with an average of (14.67±8.03) days.Vitrectomy combined with subretinal injection of t-PA was performed in the 12 eyes.All affected eyes underwent best corrected visual acuity (BCVA), intraocular pressure, slit lamp microscopy, indirect ophthalmoscopy, optical coherence tomography (OCT), and ultra-wide-filed imaging examinations before and 1, 3, 6 months after surgery.The central retinal thickness (CRT) was examined using an OCT instrument.The postoperative ocular conditions and the occurrence of adverse effects were observed.This study adhered to the Declaration of Helsinki and was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2022JS-05).Written informed consent was obtained from each patient before surgery.Results:The preoperative, 1-, 3-, and 6-month postoperative average BCVA (LogMAR) of the affected eye was 1.58±0.63, 1.12±0.49, 1.07±0.44, and 0.59±0.19, respectively, showing a statistically significant overall difference ( F=14.435, P<0.001).The BCVA at 6 months after surgery was significantly better than that before surgery ( P<0.001).The preoperative, 1-, 3-, and 6-month postoperative average CRT of the affected eye was (606.25±204.67), (379.83±92.05), (313.75±60.87), and (267.75±73.07)μm, respectively, showing a statistically significant overall difference ( F=27.720, P<0.001).The CRT at 1, 3, 6 months after surgery were significantly thinner than that before surgery (all at P<0.001).One eye had suprachoroidal hemorrhage 3 months after surgery, and 6 eyes received intravitreal injections of anti-vascular endothelial growth factor (VEGF) drugs due to recurrent PCV during follow-up, with a total of 16 injections.The average number of anti-VEGF injections at 1, 3, and 6 months after surgery was (0.3±0.5), (1.3±1.4), and (2.7±2.0) times, respectively. Conclusions:In the treatment of SMH, vitrectomy combined with subretinal injection of t-PA can improve BCVA, reduce CRT, reduce retinal damage from blood clots, and promote early postoperative visual recovery.It is a safe and effective surgical procedure.

Objective:To explore the association between serum high density lipoprotein subtype 3 cholesterol (HDL3-C) levels and the severity and in-stent restenosis of patients with coronary artery disease.Methods:124 patients with coronary artery diseases and 62 healthy controls were included in this clinical case-control retrospective study. Participants were hospitalized from November 2020 to November 2021 at Jinling Hospital, Medical School of Nanjing University were enrolled. Patients with coronary artery disease were as follows: 28 patients with acute coronary syndrome and 96 patients with stable coronary heart disease. Serum HDL3-C levels as well as total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels were determined. According to the coronary artery angiography results of all patients at the time of admission, Gensini scores were calculated and patients were divided into in-stent restenosis group ( n=22), no in-stent stenosis group ( n=23) and non-stent implantation group ( n=79). The correlation between HDL3-C levels and other parameters was analyzed by Pearson or Spearman correlation analyses. Multivariate Logistic regression analyses were used to determine the impact of HDL3-C on the in-stent restenosis of coronary artery diseases. Results:Compared with controls, serum levels of HDL3-C and HDL-C were significantly decreased in patients with coronary artery diseases (all P<0.05). There was a significantly negative correlation between HDL3-C levels and Gensini scores ( r=-0.201, P=0.043). Among patients with coronary artery disease, serum levels of HDL3C, TC and TG in the in-stent restenosis group were significantly lower than in no in-stent stenosis group as well as than in the non-stent implantation group (all P<0.05). Multivariate Logistic regression analyses showed that after adjusting for age, sex, lipid-lowering drugs and TC, TG, LDLC parameters, HDL3-C ( OR=0.885, 95% CI 0.791-0.990, P=0.033) and HDL-C ( OR=0.018, 95% CI 0.001-0.426, P=0.013) levels were both independently associated with the occurrence of coronary artery disease; only HDL3-C levels (no in-stent stenosis group as the reference: OR=0.833, 95% CI 0.698-0.994, P=0.042; non-stent implantation group as the reference: OR=0.812, 95% CI 0.685-0.963, P=0.017) were independently associated with the presence of in-stent restenosis ( P<0.05). Conclusions:Serum HDL3-C levels are decreased in patients with coronary artery disease, especially in patients with in-stent restenosis. HDL3-C levels are associated with the severity of coronary artery lesions and the presence of in-stent restenosis of coronary arteries.

This study aims to investigate the effect of transmembrane protein angiotensin converting enzyme 2 (ACE2) on the prognosis of breast cancer and its potential mechanism.Public databases were used to analyze ACE2 expression and its relationship with clinicopathological features and prognosis of breast cancer patients, combined with in vitro experiments to analyze the mechanism of action and immune relevance of ACE2 in breast cancer.Results showed that the expression of ACE2 in breast cancer tissues was significantly lower than that in normal breast tissues, and that its expression was negatively correlated with age, M stage and N1mi stage of breast cancer patients (P < 0.05).Patients with Luminal type breast cancer with high ACE2 expression had poor prognosis, while in the triple-negative breast cancer (TNBC) subtype, ACE2 showed different prognostic significance.In addition, ACE2 is closely associated with the metabolic and immune microenvironment of tumor tissue.In vitro experiments have shown that ACE2 is lowly expressed in MDA-MB-231 cells and may inhibit cell progress by downregulating matrix metalloproteinase 2（MMP2）.The results suggest that the low expression of ACE2 in breast cancer is closely associated with patient prognosis as well as metabolic and immune microenvironment, and that ACE2 may inhibit TNBC cell progress through the MMP2 pathway.

Objective:To investigate the gut microbiota composition in subclinical hypothyroidism and euthyroidism patients with Hashimoto′s thyroiditis, and its relationship with clinical indicators and inflammatory factors.Methods:A total of 48 patients diagnosed with Hashimoto′s thyroiditis and 28 healthy controls(HC group) were enrolled from Henan Provincial People′s Hospital from July 2019 to March 2022 in this cross-sectional study. According to thyroid function, 18 patients with Hashimoto′s thyroiditis were divided into subclinical hypothyroidism group(SH group) and 30 patients in euthyroidism function group(Eu group). Fecal microbial composition was detected by 16S rRNA sequencing technology, and peripheral blood was collected to test clinical indicators and inflammatory factors.Results:Compared with HC group, there were significant differences in α and β diversity of gut microbiota in SH and Eu group( P=0.045, P=0.037). At the phylum level, Firmicutes, Bacteroidota, and Proteobacteria were the dominant phylum in the three groups. At the genus level, the abundance of 4 bacterial genera increased gradually in HC group, Eu group, and SH group, including Streptococcus, Comamonas, Elizabethkingia, Achromobacter. However, the abundance of the other 9 genera decreased gradually, such as Subdoligranulum, Coprococcus, Oscillospirales_ UCG-010, Clostridia_ UCG-014, Oscillospiraceae_ UCG-002, Alistipes et al. In addition, the level of serum B-cell activating factor was positively correlated with several bacterial genera such as Achromobacter, Streptococcus, Intestinibacter et al. Conclusion:There are differences in the gut microbiota structure of patients with Hashimoto′s thyroiditis in different thyroid functional states, which is correlated with inflammatory factors.