Objective:To conduct a systematic review of risk prediction models for enteral feeding intolerance in ICU patients.Methods:Relevant literature was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, VIP, PubMed, Web of Science, Cochrane Library, Embase, CINAHL, and Scopus, with search limits from the establishment of the databases up to July 24, 2024. Two researchers independently screened the literature and extracted data, using Prediction model Risk Of Bias ASsessment Tool to evaluate the quality of the included studies.Results:A total of 12 studies were included, which included 20 prediction models. The area under the receiver operating characteristic curve or C-index for these models ranged from 0.70 to 0.94. The overall bias risk of the 12 studies was high, with three studies having good applicability. The bias risk primarily stemmed from issues such as measurement of prediction factors, variable handling, sample size, outcome definition, and model performance evaluation.Conclusions:Existing risk prediction models for enteral feeding intolerance in ICU patients exhibit a high risk of bias. Further validation, optimization, or development of new models is required in the future.

Objective:To conduct a systematic review of risk prediction models for enteral feeding intolerance in ICU patients.Methods:Relevant literature was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, VIP, PubMed, Web of Science, Cochrane Library, Embase, CINAHL, and Scopus, with search limits from the establishment of the databases up to July 24, 2024. Two researchers independently screened the literature and extracted data, using Prediction model Risk Of Bias ASsessment Tool to evaluate the quality of the included studies.Results:A total of 12 studies were included, which included 20 prediction models. The area under the receiver operating characteristic curve or C-index for these models ranged from 0.70 to 0.94. The overall bias risk of the 12 studies was high, with three studies having good applicability. The bias risk primarily stemmed from issues such as measurement of prediction factors, variable handling, sample size, outcome definition, and model performance evaluation.Conclusions:Existing risk prediction models for enteral feeding intolerance in ICU patients exhibit a high risk of bias. Further validation, optimization, or development of new models is required in the future.

Plant-derived nanovesicles have gained attention given their similarity to mammalian exosomes and advantages such as low cost,sustainability,and tissue targeting.Thus,they hold promise for disease treatment and drug delivery.In this study,we proposed a time-efficient method,PEG 8000 combined with sucrose density gradient centrifugation to prepare ginger-derived nanovesicles(GDNVs).Subse-quently,curcumin(CUR)was loaded onto GDNV by ultrasonic incubation.The optimum conditions for ginger-derived nanovesicles loaded with curcumin(CG)were ultrasound time of 3 min,a carrier-to-drug ratio(GDNV:CUR)of 1∶1.The study achieved a high loading capacity(94.027％±0.094％)and encapsu-lation efficiency(89.300％±0.344％).Finally,the drugs'in vivo distribution and anti-colitis activity were investigated in mice.CG was primarily distributed in the colon after oral administration.Compared to CUR and GDNV,CG was superior in improving disease activity,colon length,liver and spleen coefficients,myeloperoxidase activity,and biochemical factor levels in ulcerative colitis(UC)mice.In addition,CG plays a protective role against UC by modulating serum metabolite levels and gut flora.In summary,our study demonstrated that GDNV can be used for CUR delivery with enhanced therapeutic potential.

Plant-derived nanovesicles have gained attention given their similarity to mammalian exosomes and advantages such as low cost, sustainability, and tissue targeting. Thus, they hold promise for disease treatment and drug delivery. In this study, we proposed a time-efficient method, PEG 8000 combined with sucrose density gradient centrifugation to prepare ginger-derived nanovesicles (GDNVs). Subsequently, curcumin (CUR) was loaded onto GDNV by ultrasonic incubation. The optimum conditions for ginger-derived nanovesicles loaded with curcumin (CG) were ultrasound time of 3 min, a carrier-to-drug ratio (GDNV:CUR) of 1:1. The study achieved a high loading capacity (94.027% ± 0.094%) and encapsulation efficiency (89.300% ± 0.344%). Finally, the drugs' in vivo distribution and anti-colitis activity were investigated in mice. CG was primarily distributed in the colon after oral administration. Compared to CUR and GDNV, CG was superior in improving disease activity, colon length, liver and spleen coefficients, myeloperoxidase activity, and biochemical factor levels in ulcerative colitis (UC) mice. In addition, CG plays a protective role against UC by modulating serum metabolite levels and gut flora. In summary, our study demonstrated that GDNV can be used for CUR delivery with enhanced therapeutic potential.

Objective:To investigate the clinical and genetic features of the patient with neurodevelopmental disorders characterized by thickened corpus callosum caused by MAST1 gene mutation. Methods:Clinical data and auxiliary examination of a child with neurodevelopmental disorders caused by MAST1 gene mutation who was admitted to Henan Children′s Hospital in September 2022 were collected, and whole exome sequencing technology was applied to analyze the genetics of the child. Results:The patient was a 2 years and 8 months old male, with a clinical phenotype including intellectual, motor, and speech development disorders. Brain magnetic resonance imaging (MRI) showed thickened corpus callosum, nodular heterotopia of the left ventricle body.Whole exome sequencing showed the MAST1 gene with c.578T>G(p.Met193Arg) heterozygous missense variant, which was a unreported de novo pathogenic variant and both of his parents were wild-type. Conclusions:Diseases caused by MAST1 gene mutations are relatively rare, the main clinical features are neurodevelopmental disorders and brain structural abnormalities, and MRI shows an enlarged corpus callosum.The heterozygous missense variant c.578T>G(p.Met193Arg) of the MAST1 gene is the genetic cause of this case.

Objective To investigate the role of heat shock protein 70 (HSP70) in liver flbrosis in infants with biliary atresia (BA) and its impact on prognosis. Methods Fourty-six (46) cases of infants with BA undergoing elective Kasai surgery were selected. In the same period, 30 cases of children with choledochal cyst and 17 cases of children with portal vein cavernous transformation were selected. The expressions of HSP70 in liver tissues were detected using immunohistochemical staining. The liver flbrosis in children with BA was detected using Sirius red-saturated picric acid staining. The expressions of HSP70 proteins in different flbrotic liver tissues were detected by using double staining. All postoperative BA infants were followed up and ended at June 30, 2016.Results The proportion of high expression of HSP 70 proteins in BA infants were signiflcantly higher than that in children with choledochal cyst and vein cavernous transformation (P<0.05). Rank correlation analysis showed that the expressions of HSP70 in liver tissues were positively correlated with the degree of liver flbrosis (r=0.861,P<0.05). 15 patients died among 46 cases of BA infants. The survival rate in BA children with mild liver flbrosis was 82.4%, which was signiflcantly higher than 58.6% in the severe group (P<0.05). The survival rate in HSP70 protein low expression group was 85.0%, while in HSP70 protein high expression group was 53.8%. Kaplan-meier survival analysis showed that the median survival time in the HSP70 protein low expression group was (34.0±2.6) months, while in the HSP70 protein high expression group was (18.3±2.2) months, the difference was statistically signiflcant (χx2=4.765,P=0.029).Conclusions The expressions of HSP70 proteins in liver tissues in infants with BA were high and were positively correlated with the degree of hepatic flbrosis. It suggested the possible involvement of HSP70 in the process of liver fibrosis. The upregulated expressions of HSP70 often indicated poor prognosis in children. It could be used as determining biomarker for prognosis.