ObjectiveTo establish an ultra-performance liquid fingerprint and multi-components determination method for Naomaili granules. To evaluate the quality of different batches by chemometrics， and the anti-neuroinflammatory effects of water extract and main components of Naomaili granules were tested in vitro. MethodsThe similarity and common peaks of 27 batches of Naomaili granules were evaluated by using Ultra performance liquid chromatography （UPLC） fingerprint detection. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） technology was used to determine the content of the index components in Naomaili granules and to evaluate the quality of different batches of Naomaili granules by chemometrics. LPS-induced BV-2 cell inflammation model was used to investigate the anti-neuroinflammatory effects of the water extract and main components of Naomaili granules. ResultsThe similarity of fingerprints of 27 batches of samples was > 0.90. A total of 32 common peaks were calibrated， and 23 of them were identified and assigned. In 27 batches of Naomaili granules， the mass fractions of 14 components that were stachydrine hydrochloride， leonurine hydrochloride， calycosin-7-O-glucoside， calycosin，tanshinoneⅠ， cryptotanshinone， tanshinoneⅡ_A， ginsenoside Rb₁， notoginsenoside R₁， ginsenoside Rg₁， paeoniflorin， albiflorin， lactiflorin， and salvianolic acid B were found to be 2.902-3.498， 0.233-0.343， 0.111-0.301， 0.07-0.152， 0.136-0.228， 0.195-0.390， 0.324-0.482， 1.056-1.435， 0.271-0.397， 1.318-1.649， 3.038-4.059， 2.263-3.455， 0.152-0.232， 2.931-3.991 mg∙g^-1， respectively. Multivariate statistical analysis showed that paeoniflorin， ginsenoside Rg₁， ginsenoside Rb₁ and staphylline hydrochloride were quality difference markers to control the stability of the preparation. The results of bioactive experiment showed that the water extract of Naomaili granules and the eight main components with high content in the prescription had a dose-dependent inhibitory effect on the release of NO in the cell supernatant. Among them， salvianolic acid B and ginsenoside Rb₁ had strong anti-inflammatory activity， with IC₅₀ values of （36.11±0.15） mg∙L^-1 and （27.24±0.54） mg∙L^-1， respectively. ConclusionThe quality evaluation method of Naomaili granules established in this study was accurate and reproducible. Four quality difference markers were screened out， and eight key pharmacodynamic substances of Naomaili granules against neuroinflammation were screened out by in vitro cell experiments.

OBJECTIVE To form an expert consensus on the clinical application of parenteral direct thrombin inhibitors （DTIs） in patients during the perioperative period. METHODS Led by Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital （the Affiliated Hospital of UESTC）， a multidisciplinary working group was established. Through literature review and the Delphi method， clinical questions related to the rational perioperative use of parenteral DTIs were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” framework； systematic searches were conducted in CNKI， Medline， Embase and other databases. Relevant evidence from randomized controlled trials and cohort studies was included and synthesized. Evidence quality was assessed using the Grades of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through multiple rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven recommendations （each with an expert consensus rate exceeding 90%） on the use of parenteral DTIs in perioperative patients were developed. These recommendations specify drug selection， dosing ranges， key monitoring points， and safety management strategies for parenteral DTIs in various scenarios， including the perioperative period of ventricular assist device implantation， the perioperative period of cardiac surgery， perioperative patients with lower-extremity atherosclerotic disease， the perioperative period of percutaneous coronary intervention in patients with acute coronary syndrome， the perioperative period of carotid artery stenting in patients with carotid stenosis， the perioperative period of patients with right heart thrombosis， and patients who develop related thrombosis and dysfunction after a central venous catheter insertion. In addition， warning and management pathways for perioperative bleeding and thrombotic events were proposed. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in perioperative period.

Purpose: Atypical hyperplasia (AH) management remains controversial due to variable malignant disease progression rates. While Western studies report 10% to 25% upgrade rates, data from Asian populations, particularly from referral academic centers, are limited. We aimed to identify predictive factors for malignant upgrade in Korean women with AH at academic hospitals. Methods: This retrospective multi-institutional study analyzed 340 patients diagnosed with AH on initial biopsy who underwent subsequent excision at five Korean academic hospitals from 2000 to 2022. Malignant upgrade was defined as ductal carcinoma in situ or invasive cancer on the final pathology. Multivariate logistic regression was used to identify independent predictors of upgrades. Results: Among 340 patients (319 atypical ductal hyperplasia, 20 atypical lobular hyperplasia, and 1 mixed), 128 (37.6%) experienced a malignant upgrade, 98 (76.6%) to ductal carcinoma in situ, and 30 (23.4%) to invasive cancer. In multivariate analysis, multifocal atypia (odds ratio [OR], 25.61; 95% confidence interval [CI], 11.20–58.55; P<0.001) and Breast Imaging-Reporting and Data System 4c-5 lesions (OR, 11.02; 95% CI, 1.43–84.86; P=0.021) were significant predictors. Multifocal atypia showed an 84.4% upgrade rate. Core needle biopsy had higher upgrade rates than vacuum-assisted biopsy (45.2% vs. 20.0%; P<0.001). The upgrade rates decreased from 50% to 25% over the study period (P<0.05). Conclusion The 37.6% upgrade rate in this tertiary referral cohort exceeded that in Western reports, with multifocal atypia emerging as the strongest predictor. These findings support immediate excision for multifocal atypia while allowing individualized management for unifocal lesions with favorable imaging in Korean tertiary care settings.

BACKGROUND/OBJECTIVES: The microbiota present in human milk (HM) plays a crucial role in infant health and development. Maintaining it during storage and thawing is vital for preserving its beneficial properties; however, the effects of storage period, temperature, and thawing conditions on HM are not well understood. SUBJECTS/METHODS: HM samples from lactating mothers were collected and stored under different temperature conditions (room temperature [RT], refrigeration, and −20°C) for different durations (1 week and 4 weeks), and thawed using different methods (RT, bottle warmer, and microwave), followed by analysis of their microbiota. RESULTS: Storing HM samples at RT for a week and at −20°C for four weeks resulted in a significant reduction in microbiota diversity, whereas the other treatments did not lead to a significant change in beta diversity. In the microbiota distance analysis, HM samples stored at −20°C for a week showed the highest similarity to the initial microbiota compared to those after one week of storage at RT or in a refrigerator. Microwave thawing after 1 week of freezing resulted in the greatest alteration in the initial microbiota composition, whereas thawing at RT or with a bottle warmer showed comparable microbial profiles. CONCLUSION The most suitable method for storing and thawing HM while preserving the microbiota is to store it at −20°C for up to one week and thaw it using a bottle warmer.

ObjectiveTo investigate the efficacy of Poge Jiuxin decoction （PGJXD） on fluid resuscitation in septic shock patients and its effects on vascular endothelial function based on clinical randomized controlled trials （RCTs） and network pharmacology， and to reveal its molecular mechanisms and signaling pathways through network pharmacology. MethodsSeventy-two septic shock patients were enrolled and randomly assigned to either the treatment group or the control group （36 cases each） through a random number table. Both groups received conventional Western medical treatment for sepsis. Additionally， the treatment group received PGJXD （100 mL， twice daily） for 3 consecutive days. The two groups were compared in terms of the Sequential Organ Failure Assessment （SOFA） score， Acute Physiology and Chronic Health Evaluation Ⅱ （APACHE Ⅱ） score， vascular endothelial function indicators ［endothelium-derived relaxing factor （EDRF）， nitric oxide （NO）， and 6-keto-prostaglandin F_1α （6-keto-PGF_1α）］， inflammation indicators ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， nuclear factor kappa-B （NF-κB）， and procalcitonin （PCT）］， perfusion indicators ［mean arterial pressure （MAP）， lactate （Lac）， and 72-hour lactate clearance rate （Lcr）］， fluid resuscitation target achievement time， vasopressor use duration， length of hospital stay， and 28-day mortality. Databases including TCMSP， HIT 2.0， and Uniprot were searched for active components of PGJXD and their targets. Gene targets for septic shock were obtained from GeneCards， OMIM， and DrugBank databases. Venny software was used to identify common targets between PGJXD and septic shock. Cytoscape software and the STRING database were utilized to construct a "drug-component-target-disease" network and a protein-protein interaction （PPI） network. Gene Ontology （GO） functional enrichment analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis， and molecular docking were performed to explore the molecular mechanisms and signaling pathways of PGJXD in treating septic shock. ResultsFive patients withdrew from the treatment group and seven from the control group. After treatment， both groups showed decreases （P<0.01） in APACHE Ⅱ score， SOFA score， EDRF， 6-keto-PGF_1α， TNF-α， IL-6， NF-κB， PCT， MAP， and Lac， and increases in NO （P<0.01）. The treatment group exhibited more significant decreases （P<0.05， P<0.01） in APACHE Ⅱ score， SOFA score， 6-keto-PGF_1α， TNF-α， IL-6， NF-κB， MAP， Lac， Lcr， fluid resuscitation target achievement time， and vasopressor use duration than the control group. Differences in EDRF， NO， PCT， length of hospital stay， and 28-day mortality were not statistically significant. No significant adverse reactions were observed in either group during treatment. Network pharmacology identified 189 components and 257 potential targets of PGJXD， and 136 common targets shared by PGJXD and septic shock. GO enrichment analysis primarily involved positive regulation of cell migration， response to peptide， response to inorganic substance， etc. KEGG enrichment analysis mainly implicated signaling pathways such as NF-κB， VEGF， and Relaxin. ConclusionPGJXD can significantly ameliorate the condition of septic shock patients and enhance the efficacy of fluid resuscitation. Its key mechanism may involve protecting vascular endothelial cells by regulating the TNF-α/NF-κB signaling pathway and reducing the inflammatory response.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.

OBJECTIVE To investigate the potential mechanism of berberine improving diabetes mellitus type 2 （T2DM） combined with metabolic-associated fatty liver disease （MAFLD） by regulating ceramide. METHODS Thirty-two db/db mice with blood glucose levels＞11.1 mmol/L （T2DM model） were divided into four groups： model group， berberine low- and high-dose groups [100， 200 mg/（kg·d）] and metformin group [300 mg/（kg·d）]， with 8 mice in each group. Additionally， 8 wt/wt mice were selected as the normal control group. Mice in each group were administered the corresponding drug solution or water by gavage once daily for a continuous period of 6 weeks. During the experiment， the body weight of the mice was monitored， and the differences in final body weight were analyzed. After the last administration， the body shape of the mice in each group was observed， and their fasting blood glucose （FBG） and the lipid indicators [total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）] were measured. Fasting serum insulin （FINS） levels were also measured， and the insulin resistance index HOMA-IR） and insulin sensitivity index （ISI） were calculated. Liver weight， liver index and serum liver function indicators [alanine transaminase （ALT）， aspartate transaminase（AST）] were assessed， and hepatic histopathological changes were observed. Additionally， the expression of fatty acid synthesis-related proteins [sterol regulatory element-binding protein 1 （SREBP1）， fatty acid synthase （FASN）， acetyl-CoA carboxylase 1 （ACC1）] in liver tissue was examined. Serum samples from the normal control group， model group， and berberine high-dose group were collected for non-targeted lipidomics analysis and validation. RESULTS Compared with the model group， the pathological changes， including disordered liver tissue cell arrangement and lipid vacuoles， were significantly improved in the berberine low- and high-dose groups. The significant decreases or down-regulations were observed in body weight in the last week， as well as FBG， TC， TG， and LDL-C levels， HOMA-IR （except for the berberine low-dose group）， liver weight， liver index， AST and ALT levels， and protein expressions of SREBP1， FASN and ACC1. Additionally， HDL-C levels， FINS （except for the berberine high-dose group）， and ISI （except for the berberine low-dose group） were significantly increased （P＜0.05）. A total of 21 potential differential metabolites， including multiple types of ceramides， were identified； these metabolites were primarily enriched in sphingolipid metabolism and glycerophospholipid metabolism pathways. Verification experiments confirmed that high-dose berberine significantly reduced the serum content of ceramide in model mice （P＜0.05）. CONCLUSIONS Berberine reduces insulin resistance， improves liver damage and lipid accumulation in the T2DM combined with MAFLD mice， and these effects may be related to the reduction of ceramide content.

ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis