ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

Objective:To evaluate the diagnostic efficacy and practicality of the Jaundice color card (JCard) as a screening tool for neonatal jaundice.Methods:Following the standards for reporting of diagnostic accuracy studies (STARD) statement, a multicenter prospective study was conducted in 9 hospitals in China from October 2019 to September 2021. A total of 845 newborns who were admitted to the hospital or outpatient department for liver function testing due to their own diseases. The inclusion criteria were a gestational age of ≥35 weeks, a birth weight of ≥2 000 g, and an age of ≤28 days. The neonate′s parents used the JCard to measure jaundice at the neonate′s cheek. Within 2 hours of the JCard measurement, transcutaneous bilirubin (TcB) was measured with a JH20-1B device and total serum bilirubin (TSB) was detected. The Pearson′s correlation analysis, Bland-Altman plots and the receiver operating characteristic (ROC) curve were used for statistic analysis.Results:Out of the 854 newborns, 445 were male and 409 were female; 46 were born at 35-36 weeks of gestational age and 808 were born at ≥37 weeks of gestational age. Additionally, 432 cases were aged 0-3 days, 236 cases were aged 4-7 days, and 186 cases were aged 8-28 days. The TSB level was (227.4±89.6) μmol/L, with a range of 23.7-717.0 μmol/L. The JCard level was (221.4±77.0) μmol/L and the TcB level was (252.5±76.0) μmol/L. Both the JCard and TcB values showed good correlation ( r=0.77 and 0.80, respectively) and agreements (96.0% (820/854) and 95.2% (813/854) of samples fell within the 95% limits of agreement, respectively) with TSB. The JCard value of 12 had a sensitivity of 0.93 and specificity of 0.75 for identifying a TSB ≥205.2?μmol/L, and a sensitivity of 1.00 and specificity of 0.35 for identifying a TSB ≥342.0?μmol/L. The TcB value of 205.2?μmol/L had a sensitivity of 0.97 and specificity of 0.60 for identifying TSB levels of 205.2 μmol/L, and a sensitivity of 1.00 and specificity of 0.26 for identifying TSB levels of 342.0 μmol/L. The areas under the ROC curve (AUC) of JCard for identifying TSB levels of 153.9, 205.2, 256.5, and 342.0 μmol/L were 0.96, 0.92, 0.83, and 0.83, respectively. The AUC of TcB were 0.94, 0.91, 0.86, and 0.87, respectively. There were both no significant differences between the AUC of JCard and TcB in identifying TSB levels of 153.9 and 205.2 μmol/L (both P>0.05). However, the AUC of JCard were both lower than those of TcB in identifying TSB levels of 256.5 and 342.0 μmol/L (both P<0.05). Conclusions:JCard can be used to classify different levels of bilirubin, but its diagnostic efficacy decreases with increasing bilirubin levels. When TSB level are ≤205.2 μmol/L, its diagnostic efficacy is equivalent to that of the JH20-1B. To prevent the misdiagnosis of severe jaundice, it is recommended that parents use a low JCard score, such as 12, to identify severe hyperbilirubinemia (TSB ≥342.0 μmol/L).

Objective:To establish and internally validate a nomogram model for predicting complicated acute appendicitis (CA).Methods:The clinical data from 663 acute appendicitis patients from the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from October 2015 to October 2022 were retrospectively analyzed. There were 411 males and 252 females, aged ( M (IQR)) 41 (22) years (range: 18 to 84 years). There were 516 cases of CA and 147 cases of uncomplicated acute appendicitis. The minimum absolute contraction and selection operator regression model was used to screen the potential relative factors of CA, and the screened factors were included in the Logistic regression model for multivariate analysis. Software R was used to establish a preoperative CA nomogram prediction model, the receiver operating characteristic curve of the model was drawn, and the value of area under the curve (AUC) was compared to evaluate its identification ability, and the Bootstrap method was used for internal verification. Results:The elderly (age≥60 years) ( OR=2.428, 95% CI: 1.295 to 4.549), abdominal pain time (every rise of 1 hour) ( OR=1.089, 95% CI: 1.072 to 1.107), high fever (body temperature≥39 ℃) ( OR=1.122, 95% CI: 1.078 to 1.168), total bilirubin (every rise of 1 μmol/L) ( OR=2.629, 95% CI: 1.227 to 5.635) were independent relative factors of CA (all P<0.05). The AUC of this model was 0.935 (95% CI: 0.915 to 0.956). After internal verification using the Bootstrap method, the model still had a high discrimination ability (AUC=0.933), and the predicted CA curve was still in good agreement with the actual clinical CA curve. Conclusion:The clinical prediction model based on the elderly (age≥60 years), prolonged abdominal pain time, high fever (body temperature≥39 ℃), and increased total bilirubin can help clinicians effectively identify CA.

Objective:To establish and internally validate a nomogram model for predicting complicated acute appendicitis (CA).Methods:The clinical data from 663 acute appendicitis patients from the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from October 2015 to October 2022 were retrospectively analyzed. There were 411 males and 252 females, aged ( M (IQR)) 41 (22) years (range: 18 to 84 years). There were 516 cases of CA and 147 cases of uncomplicated acute appendicitis. The minimum absolute contraction and selection operator regression model was used to screen the potential relative factors of CA, and the screened factors were included in the Logistic regression model for multivariate analysis. Software R was used to establish a preoperative CA nomogram prediction model, the receiver operating characteristic curve of the model was drawn, and the value of area under the curve (AUC) was compared to evaluate its identification ability, and the Bootstrap method was used for internal verification. Results:The elderly (age≥60 years) ( OR=2.428, 95% CI: 1.295 to 4.549), abdominal pain time (every rise of 1 hour) ( OR=1.089, 95% CI: 1.072 to 1.107), high fever (body temperature≥39 ℃) ( OR=1.122, 95% CI: 1.078 to 1.168), total bilirubin (every rise of 1 μmol/L) ( OR=2.629, 95% CI: 1.227 to 5.635) were independent relative factors of CA (all P<0.05). The AUC of this model was 0.935 (95% CI: 0.915 to 0.956). After internal verification using the Bootstrap method, the model still had a high discrimination ability (AUC=0.933), and the predicted CA curve was still in good agreement with the actual clinical CA curve. Conclusion:The clinical prediction model based on the elderly (age≥60 years), prolonged abdominal pain time, high fever (body temperature≥39 ℃), and increased total bilirubin can help clinicians effectively identify CA.

Polyolefin plastics are a group of polymers with C-C backbone that have been widely used in various areas of daily life. Due to their stable chemical properties and poor biodegradability, polyolefin plastic waste continues to accumulate worldwide, causing serious environmental pollution and ecological crises. In recent years, biological degradation of polyolefin plastics has attracted considerable attention. The abundant microbial resources in the nature offer the possibility of biodegradation of polyolefin plastic waste, and microorganisms capable of degrading polyolefin have been reported. This review summarizes the research progress on the biodegradation microbial resources and the biodegradation mechanisms of polyolefin plastics, presents the current challenges in the biodegradation of polyolefin plastics, and provides an outlook on future research directions.
Plastics/metabolism* ; Polymers/metabolism* ; Polyenes ; Biodegradation, Environmental

Objective To investigate the association between baseline IgM level and treatment response to ursodeoxycholic acid (UDCA) in patients with primary biliary cholangitis (PBC). Methods A retrospective analysis was performed for the clinical data of 637 PBC patients who were diagnosed and treated with UDCA for the first time in The Fifth Medical Center of Chinese PLA General Hospital from January 2010 to January 2020. The PBC patients were divided into UDCA complete response group with 436 patients and UDCA poor response group with 201 patients, and baseline clinical data were compared between the two groups. According to the optimal cut-off value of IgM determined by the area under the ROC curve (AUC) of baseline indices in predicting the risk of poor treatment response, the patients were divided into IgM ≥1.5×ULN group and IgM < 1.5×ULN group, and baseline parameters, treatment response, and prognostic model score were compared between groups. The t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between two groups. The Cochran-Mantel-Haenszel test was used for subgroup analysis, and forest plots were plotted for related risk values. Results Compared with the UDCA complete response group, the UDCA poor response group had significantly higher proportion of patients with liver cirrhosis, levels of total bilirubin, aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bile acid, total cholesterol (TC), IgA, and IgM, and positive rate of anti-Gp210 antibody at baseline ( χ 2 =4.596, Z =-9.932, -8.931, -8.361, -7.836, -4.694, -3.242, and -2.115, χ 2 =15.931, all P < 0.05). The UDCA poor response group had significantly higher Mayo Risk Score, Globe score, and UK-PBC risk score than the UDCA complete response group ( t =4.092, Z =-10.910 and -11.646, all P < 0.001). Compared with the normal IgM group, the elevated IgM group had significantly higher levels of AST, ALP, TC, IgA, and IgG and a significantly higher positive rate of anti-Gp210 antibody ( Z =-3.774, -5.063, -4.344, -2.051, and -6.144, χ 2 =25.180, all P < 0.05). IgM had an AUC of 0.552 in predicting poor treatment response. Compared with the IgM < 1.5×ULN group, the IgM ≥1.5×ULN group had significantly higher levels of AST, ALP, TC, and IgG, a significantly higher positive rate of anti-Gp210 antibody, and a significantly higher poor UDCA response rate ( Z =-4.193, -5.044, -3.250, and -5.465, χ 2 =25.204 and 8.948, all P < 0.05). IgM ≥1.5×ULN had an odds ratio of 1.416 (95% confidence interval [ CI ]: 1.129-1.776, P =0.003) in predicting poor response. The subgroup analysis showed that for patients without liver cirrhosis, IgM ≥1.5×ULN had an odds ratio of 1.821 (95% CI : 1.224-2.711, P =0.003) in predicting poor response. Conclusion Baseline IgM level has an important value in predicting UDCA response. IgM level should be closely monitored during treatment in PBC patients with a high baseline IgM level, and second-line drugs should be given in time if the abnormality persists.

Objective To investigate the influencing factors for the prognosis of adult patients with chronic drug-induced liver injury (DILI). Methods A total of 255 patients who were diagnosed with chronic DILI by liver biopsy in The Fifth Medical Center of Chinese PLA General Hospital from January 2014 to December 2018 were enrolled, and according to the liver function after 2 years, they were divided into non-recovery group and recovery group. The two groups were analyzed in terms of the clinical data including age, sex, body mass index, types of drugs used, type of DILI injury, severity of DILI injury, underlying diseases, laboratory markers, liver histology, and 2-year prognosis. The t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate logistic regression analyses were used to investigate the independent risk factors for the prognosis of chronic DILI. Results After 2 years of follow-up, 195 patients (76.5%) achieved the recovery of liver function, while 60 patients (23.5%) did not achieve such recovery. There were significant differences between the two groups in the type of DILI injury ( P =0.028), the proportion of patients with diabetes ( P =0.048), and the degree of liver fibrosis ( P < 0.001), and compared with the recovery group, the non-recovery group had significantly higher levels of baseline white blood cell count, platelet count (PLT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase, and total bile acid and a significantly lower level of cholinesterase (ChE) (all P < 0.05). The baseline characteristics were included in the univariate logistic regression analysis, and the results showed that PLT, ALT, AST, ChE, and fibrosis degree were significantly associated with the prognosis of chronic DILI (all P < 0.05). The multivariate logistic regression analysis of the above variables showed that PLT < 100×10 9 /L (odds ratio [ OR ]=3.592, 95% confidence interval [ CI ]: 1.128-11.438, P =0.003) and ALT > 2×upper limit of normal (ULN) ( OR =3.080, 95% CI : 1.331-7.127, P =0.009) were independent risk factors for the prognosis of chronic DILI. Conclusion When patients meet the diagnostic criteria for chronic DILI, the independent risk factors PLT < 100×10 9 /L and ALT > 2×ULN may be used to screen out the patients who are more likely to have poor prognosis.

Objective To investigate the clinical applicability and different characteristics of three commonly used diagnostic methods for drug-induced liver injury from the two aspects of liver injury induced by Western medicine and liver injury induced by traditional Chinese medicine. Methods A prospective cohort study was performed for 289 hospitalized patients with acute drug-induced liver injury who were admitted to The Fifth Medical Center of Chinese PLA General Hospital from January 2015 to December 2020 and did not receive integrated traditional Chinese and Western medicine therapy, among whom 187 patients had herb-induced liver injury and 102 had Western medicine-induced liver injury. The 289 patients were diagnosed by the integrated evidence chain (IEC), Roussel Uclaf Causality Assessment Method (RUCAM), and the Structured Expert Opinion Process (SEOP) method, and related data at acute onset were collected, including general information, latency period, detailed medication, and laboratory markers such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase, alkaline phosphatase, and total bilirubin. A statistical analysis was performed to investigate the consistency between IEC, RUCAM, and SEOP in the diagnosis of Western medicine-induced liver injury and herb-induced liver injury and their own applicability. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data; the chi-square was used for comparison of categorical data. Results The hepatocellular type was the main type of clinical liver injury in both Western medicine-induced liver injury and herb-induced liver injury, accounting for 81.4% and 74.3%, respectively, and laboratory examination showed higher levels of ALT and AST. Western medicine-induced liver injury cases were diagnosed by IEC, RUCAM, and SEOP, with a clinical diagnosis rate of 65.7%, 100%, and 63.7%, respectively, and the constituent ratio of Western medicine-induced liver injury was 23.2%, 35.3%, and 22.5%, respectively. Herb-induced liver injury cases were diagnosed by these three methods, with a clinical diagnosis rate of 47.6%, 100%, and 29.9%, respectively, and the constituent ratio of herb-induced liver injury was 30.8%, 64.7%, and 19.4%, respectively. The consistency test of the three diagnostic methods showed that in the diagnosis of Western medicine-induced liver injury cases, there was good consistency between IEC and SEOP (Kappa=0.785, P < 0.05), while there was poor consistency between RUCAM and IEC (Kappa=0.149, P > 0.05) and between RUCAM and SEOP (Kappa=0.117, P > 0.05); in the diagnosis of herb-induced liver injury cases, there was poor consistency between RUCAM and SEOP (Kappa=0.066, P > 0.05), while there was good consistency between RUCAM and IEC (Kappa=0.026, P < 0.05) and between IEC and SEOP (Kappa=0.437, P < 0.05). Conclusion The IEC method shows good applicability for both Western medicine-induced liver injury and herb-induced liver injury, and there is good consistency between IEC and SEOP in the diagnosis of Western medicine-induced liver injury cases, while there is a relatively low level of consistency between IEC and SEOP in the diagnosis of herb-induced liver injury. There is poor consistency between RUCAM and the other two methods. In the clinical diagnosis of Western medicine-induced liver injury, IEC, RUCAM, and SEOP should be used in combination to accurately judge the causal relationship between drugs and liver injury.

Along with the increasingly serious environmental pollution, dealing with the "white pollution" issue, which is caused by the worldwide use of not readily-degradable or non-degradable synthetic plastics, has become a great challenge. It is an environmentally friendly strategy to degrade synthetic plastics using microorganisms that exist in nature or evolved under selection pressure. Based on the NSFC-EU International Cooperation and Exchanges Project "Bio Innovation of a Circular Economy for Plastics", this review summarized the screening of bacteria, fungi and microbial consortia capable of degrading synthetic plastics such as polyethylene (PE), polypropylene (PP), polystyrene (PS), polyvinyl chloride (PVC), polyurethane (PUR), and polyethylene terephthalate (PET). We also analyzed the role of various microorganisms played in the degradation of petroleum-based plastics. Moreover, we discussed the pros and cons of using microorganisms and enzymes for degradation of synthetic plastics.
Biodegradation, Environmental ; Microbial Consortia ; Petroleum ; Plastics ; Polyurethanes

Recent studies have shown that programmed cell death 4 (PDCD4) modulates distinct signal transduction pathways in different pathological conditions. Despite acute and chronic immune responses elicited by ischemia contributing to the functional deterioration of the kidney, the contributions and mechanisms of PDCD4 in acute kidney injury (AKI) have remained unclear. Using two murine AKI models including renal ischemia/reperfusion injury (IRI) and cisplatin-induced AKI, we found that PDCD4 deficiency markedly ameliorated renal dysfunction and inflammatory responses in AKI mice. Consistently, upregulation of PDCD4 was also confirmed in the kidneys from patients with biopsy confirmed acute tubular necrosis from a retrospective cohort study. Moreover, we found that overexpression of