Activating transcription factor 5 (ATF5) is a member of the activating transcription factor/cyclic adenosine monophosphate response element binding protein (ATF/CREB) family. As a stress-induced transcription factor, ATF5 plays a crucial role in cellular inflammatory stress responses. Under cellular inflammatory stress conditions, ATF5 maintains cell homeostasis and survival by regulating key genes in the mitochondrial unfolded protein response (UPR^mt) and endoplasmic reticulum stress (ERS). As a key regulator in UPR^mt, ATF5 senses mitochondrial stress and translocate to the nucleus to activate the transcription of UPR^mt-related genes, thereby promoting mitochondrial function recovery. Meanwhile, in ERS, ATF5 maintains endoplasmic reticulum homeostasis by regulating the expression of genes related to protein folding, degradation, and apoptosis, determining cell survival or death. ATF5 plays a vital role in various cellular inflammatory stress responses. In infectious inflammation, ATF5 plays an important role in alleviating neuroinflammation and maintaining intestinal barrier function by regulating UPR^mt. In inflammation related to degenerative diseases, ATF5 improves intervertebral disc degeneration and delays the progression of osteoarthritis by regulating UPR^mt. In metabolic inflammation such as diabetes and obesity, ATF5 regulates UPR^mt and ERS to maintain the function of pancreatic β-cells, controlling their survival or inducing apoptosis, thus influencing the progression of diabetes. ATF5 protects mitochondria in the kidneys, adipose tissue, and pancreas, slows the progression of diabetic nephropathy, and improves insulin sensitivity. Furthermore, in immune-related inflammation, ATF5 alleviates glomerulonephritis and promotes tissue repair by enhancing immune tolerance in dendritic cells. In summary, ATF5, as a key regulator in cellular inflammatory stress responses, maintains cell homeostasis through regulating UPR^mt and ERS and determines cell fate. Its critical regulatory role in cellular inflammatory stress responses makes ATF5 a potential clinical therapeutic target. This article summarizes the structural features and translational regulatory mechanisms of ATF5, focusing on its role in cellular inflammatory stress responses, particularly its regulatory mechanisms in UPR^mt and ERS, aiming to provide a theoretical basis for understanding ATF5's role in cell and organ protection and to offer new insights into the treatment of related inflammatory diseases.
Humans ; Endoplasmic Reticulum Stress ; Inflammation/metabolism* ; Activating Transcription Factors/metabolism* ; Unfolded Protein Response ; Mitochondria/metabolism* ; Apoptosis ; Animals

Acute pancreatitis (AP) is a severe inflammatory disease characterized by self-digestion of pancreatic tissue and inflammatory responses. Recent studies have revealed a close connection between gut microbiota and AP. The gut microbiota community, a complex ecosystem composed of trillions of microorganisms, is closely associated with various physiological activities of the host, including metabolic processes, immune system regulation, and intestinal structure maintenance. However, in patients with AP, dysbiosis of the gut microbiota are believed to play a key role in the occurrence and progression of the disease. This dysbiosis not only impairs the integrity of the intestinal barrier, but may also exacerbate inflammatory responses through multiple mechanisms, thereby affecting the severity of the disease and patient' clinical prognosis. This article reviews the mechanisms of action of gut microbiota in AP, explores how gut microbiota dysbiosis affects disease progression, and evaluates current clinical treatment methods to regulate intestinal flora, including probiotic supplementation, fecal microbiota transplantation, antibiotic therapy, and early enteral nutrition. In addition, this article discusses the efficacy and safety of the aforementioned therapeutic approaches, and outlines future research directions, aiming to provide novel perspectives and strategies for the diagnosis, treatment and prognostic evaluation of AP. Through in-depth understanding the interaction between gut microbiota and AP, it is expected that more precise and personalized therapeutic regimens will be developed to improve patients' quality of life and clinical outcomes.
Humans ; Gastrointestinal Microbiome ; Dysbiosis ; Pancreatitis/microbiology* ; Fecal Microbiota Transplantation ; Probiotics/therapeutic use* ; Acute Disease ; Anti-Bacterial Agents/therapeutic use* ; Enteral Nutrition

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.

ObjectiveTo investigate the prevalence of polycystic ovary syndrome （PCOS） among female college students at a university in Fuzhou City， Jiangxi Province， and to facilitate early detection and intervention of PCOS. MethodsUsing a stratified sampling method， a total of 450 female freshmen were randomly selected for PCOS screening. A self-designed questionnaire was used for data collection， covering menstrual status， high androgen signs， lifestyle， dietary habits， and awareness of PCOS. Sample t test and χ² test were used to compare the basic information and dietary habits between PCOS and non-PCOS cases. The correlation between various indicators and the prevalence of PCOS was analyzed by a logistic regression model. ResultsA total of 12 PCOS cases were identified， with a prevalence rate of 2.99%. PCOS cases exhibited statistically significant differences compared to non-PCOS cases in terms of waist-to-hip ratio， waist circumference， abdominal obesity， the proportion of overweight or obese individuals， and a preference for sweet food （all P<0.05）. Multivariate logistic regression analysis revealed a significant correlation between preference for sweet food and the occurrence of PCOS （OR=4.858， 95%CI=1.199‒19.675，P=0.027）， as well as a significant correlation with PCOS accompanied by abdominal obesity （OR=7.083， 95%CI=0.773‒64.937， P=0.048）. Among the female college students surveyed， 37.90% had never heard of PCOS， 51.62% were only familiar with the name of the disease， and 10.47% had attempted to search for PCOS-related information. ConclusionThe prevalence of PCOS among female college students should not be overlooked and unhealthy dietary habits may be a crucial factor contributing to the occurrence of PCOS during this period. Early screening for PCOS during puberty is crucial.

Objective To observe the effects of Daizong Prescription on glycogen metabolism in adipose tissue of obese mice;To explore its regulatory mechanism in activating browning in the white adipose tissue.Methods A obesity model was established by feeding high-fat diet to C57BL/6J mice.The obese mice were divided into model group,metformin group(0.15 g/kg),and Daizong Prescription low-(0.20 g/kg)and high-dosage(0.40 g/kg)groups.Mice fed a standard diet were set as the normal group,with 12 mice in each group.Each medication group was given corresponding drugs by gavage for 6 consecutive weeks.Body mass and fasting blood glucose were monitored,serum triglycerides(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)contents were measured.Brown adipose tissue from the interscapular region and white adipose tissue from the inguinal,perirenal and epididymal region were collected,the adipose tissue mass was measured,and the body fat coefficient was calculated.HE staining was performed to observe morphological changes in adipose tissue,PAS staining was used to observe glycogen distribution in adipose tissue,immunohistochemistry staining was performed to detect the expressions of Gys2,Ppp1r3c,and GSK-3β in inguinal white adipose tissue.Results Compared with the normal group,the body mass and fasting blood glucose in different time points of the model group significant increase(P<0.05,P<0.01),and serum TC and HDL-C contents significantly increased(P<0.01);the mass and body fat coefficient of white adipose tissue in inguinal,perirenal,and epididymis significantly increased(P<0.01),the cells in white adipose tissue in inguinal were hypertrophic and appeared as large vacuoles,with less glycogen accumulation,the expressions of Gys2 and Ppp1r3c significantly decreased(P<0.01).Compared with the model group,the mice in Daizong Prescription high-dosage group showed a significant decrease in body mass and fasting blood glucose at 4 and 6 weeks of administration(P<0.05,P<0.01),and the contents of serum TG,TC,HDL-C,and LDL-C were significantly decreased(P<0.01);the mass and body fat coefficient in white adipose tissue of perirenal and epididymal significantly decreased(P<0.05,P<0.01),and the mass of inguinal white adipose tissue significantly decreased(P<0.05),multiple irregularly shaped small vacuoles could be seen in inguinal white adipose tissue,accompanied by nuclear aggregation and increased glycogen accumulation,the expressions of Gys2 and Ppp1r3c significantly increased(P<0.01).There was no significant difference in the expression of GSK-3β inguinal white adipose tissue of mice among the groups.Conclusion Daizong Prescription can increase the activity of Gys2 by upregulating the expression of Ppp1r3c,promote glycogen synthesis,induce browning of adipose tissue,increase fat heat production,and improve obesity and related disorders of glycolipid metabolism.

Objective:To analyze the efficacy and safety of nalbuphine for analgesia in patients with non-mechanical ventilation in intensive care unit (ICU).Methods:From December 2018 to August 2021, a multicenter randomized controlled clinical study was conducted to select non-mechanical ventilation patients with analgesic needs admitted to ICU of four hospitals in Henan Province and Guizhou Province. Patients were randomly assigned to nalbuphine group and fentanyl group. The nalbuphine group was given continuous infusion of nalbuphine [0.05~0.20 mg/(kg·h)], and the fentanyl group was given continuous infusion of fentanyl [0.5~2.0 μg/(kg·h)]. The analgesic target was critical-care pain observation tool (CPOT) score<2. The observation time was 48 hours. The primary endpoint was CPOT score, the secondary endpoints were Richmond agitation-sedation score (RASS), ICU length of stay, adverse events, and proportion of mechanical ventilation. The quantitative data of the two groups were compared by t test or Mann-Whitney U test. The enumeration data were compared by chi square test or Fisher exact probability method. The data at different time points between groups were compared by repeated measures analysis of variance. Results:A total of 210 patients were enrolled, including 105 patients in the nalbuphine group and 105 patients in the fentanyl group. There was no significant difference in baseline data between the two groups (all P>0.05). There was no significant difference in CPOT score between nalbuphine group and fentanyl group at each time point after medication ( P>0.05), the CPOT score of both groups at each time point after medication was significantly lower than that before medication, and the analgesic target could be achieved and maintained 2 hours after medication. There was no significant difference in RASS between the two groups at each time point after medication ( P>0.05), which was significantly lower than that before medication, and the target sedative effect was achieved 2 hours after medication. There was no significant difference in ICU length of stay between nalbuphine group and fentanyl group [5.0(4.0,7.5) d vs. 5.0(4.0,8.0) d, P=0.504]. The incidence of delirium, nausea and vomiting, abdominal distension, pruritus, vertigo and other adverse events in the nalbuphine group was lower than that in the fentanyl group (all P<0.05). There was no significant difference in the incidence of other adverse events such as deep sedation, hypotension and bradycardia between the two groups (all P>0.05). The incidence of respiratory depression in nalbuphine group was not significantly different from that in fentanyl group ( P>0.05), but the proportion of mechanical ventilation was significantly lower than that in the fentanyl group [1.9% (2/105) vs. 8.6%(9/105), P=0.030]. Conclusions:Nalbuphine could be used for analgesia in ICU patients with non-mechanical ventilation. The target analgesic effect could be achieved within 2 hours, and it had a certain sedative effect with a low incidence of adverse reactions.

Objective To investigate the clinical features and maternal and fetal outcomes of acute pancreatitis in pregnancy(APIP)and the risk factors for disease aggravation,and to establish a predictive model.Methods A retrospective analysis was performed for 52 APIP patients who were admitted to Affiliated Hospital of Zunyi Medical University from January 2017 to December 2022,and according to disease severity,they were divided into mild acute pancreatitis(MAP)group with 32 patients,moderate-severe acute pancreatitis(MSAP)group with 8 patients,and severe acute pancreatitis(SAP)group with 12 patients.The logistic regression analysis was performed for the clinical data of each group,and the receiver operating characteristic(ROC)curves were plotted to assess the value of risk factors in predicting the severity of APIP.A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups,and the least significant difference t-test was used for further comparision between two groups.The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups,and the Wilcoxon rank-sum test was used for further comparision between two groups;the chi-square test was used for comparison of categorical data between groups.Results Of all patients in terms of etiology,26(50%)had hyperlipidemic pancreatitis,20(38.4%)had biliary pancreatitis,and 6(11.5%)had idiopathic pancreatitis.In terms of gestational week,1 patient(1.9%)was in early pregnancy,25(48.1%)were in mid-pregnancy,and 26(50.0%)were in late pregnancy.A total of 10 patients(19.2%)had acute respiratory distress syndrome(ARDS),among whom 9(90%)required respiratory support.There were significant differences between the patients with different severities of APIP in aspartate aminotransferase,alanine aminotransferase,blood urea nitrogen,blood glucose,C-reactive protein(CRP),international normalized ratio(INR),pneumonia,ARDS,sepsis,hepatic insufficiency,and coagulation dysfunction(all P<0.05).The univariate analysis showed that the severity of APIP was associated with blood glucose,blood urea nitrogen,CRP,and pneumonia(all P<0.05),and pneumonia was a risk factor for the aggravation of APIP(odds ratio=18.938,95%confidence interval:1.020—351.747,P=0.048).CRP,blood glucose,blood urea nitrogen,and INR used in combination had a larger area under the ROC curve than each index used alone(0.954 vs 0.778/0.796/0.721/0.801).Conclusion Pneumonia is a risk factor for the aggravation of APIP,and the combination of CRP,blood glucose,blood urea nitrogen,and INR can be used to predict the severity of APIP.