Nanotechnologies seek to overcome inherent deficiencies of conventional diagnosis and treatment, which attracted sustained attention and a limited number of nanomedicines approved by the FDA. However, the critical gaps in clinical translation remain, and nanomedicines that were initially heralded as magic bullets have yet to reach their realistic potential. The major obstacles of fabrication technologies may be overlooked in the nanoparticles' journey. Suboptimal manufacturing strategies partly hampered the inefficient transformation. In this review, we discuss the nanoparticle manufacturing strategies of "Top-Down" and "Bottom-Up" on precise nanoscale fabrication, including artificial intelligence introduced to guided nanomedicine fabrication for accelerating the transformation. Re-engineering existing nanomedicine fabrication, individual manufacturing, and modular technology might highlight the dilemmas of nanomedicines to meet their initial expectations.

OBJECTIVES: To investigate the synergistic mechanism of the traditional Chinese medicine Rosa laevigata Michx. (RLM) for treatment of pulmonary arterial hypertension (PAH). METHODS: Network pharmacological analysis was carried out to screen the active ingredients of RLM and PAH disease targets and construct the "component-target-disease" interaction network, followed by gene enrichment analysis and molecular docking studies. In the cell experiments, primary cultures of rat pulmonary arterial smooth muscle cells were exposed to hypoxia for 24 h and treated with solvent or 100, 200 and 300 mg/mL RLM, and the changes in cell proliferation were detected using Western blotting for PCNA and immunofluorescence staining. In the animal experiment, male SD rats were randomized into 5 control group, monocrotaline (MCT) solvent group, and MCT with RLM (100, 200 and 300 mg/mL) treatment groups. HE staining and immunofluorescence staining were used to observe histopathological changes in the pulmonary blood vessels of the rats. RESULTS: Seven core active ingredients (including β-sitosterol and kaempferol) in RLM and 39 key disease targets were identified, and molecular docking showed that SRC was a high-affinity target. KEGG enrichment analysis showed that the differential genes were significantly enriched in calcium signaling and PI3K-AKT pathways. In rat pulmonary arterial smooth muscle cells, hypoxic exposure significantly up-regulated cellular expression of PCNA and phosphorylation levels of Src and AKT1, which were obviously lowered by RLM treatment. In RLM-treated rat models, the mean pulmonary artery pressure and right ventricular hypertrophy index (Fulton index) were significantly reduced, the tricuspid annular plane systolic excursion (TAPSE) was improved, and pulmonary vascular wall thickening and fibrosis were obviously ameliorated. CONCLUSIONS RLM inhibits pulmonary arterial smooth muscle cell proliferation in rat models of hypertension possibly by regulating the Src-AKT1 axis, suggesting the potential of RLM as a new natural drug for treatment of pulmonary hypertension.
Animals ; Cell Proliferation/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Rats, Sprague-Dawley ; Pulmonary Artery/cytology* ; Male ; Rats ; Myocytes, Smooth Muscle/cytology* ; Hypertension, Pulmonary/pathology* ; Drugs, Chinese Herbal/pharmacology* ; Signal Transduction/drug effects* ; Muscle, Smooth, Vascular/cytology* ; src-Family Kinases/metabolism* ; Cells, Cultured

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

Objective:To investigate the correlation between serum growth differentiation factor 15 (GDF15) and the clinicopathological characteristics of patients with IgA nephropathy (IgAN), and further explore the relationship of GDF15 with the cardiac and renal prognosis of IgAN patients.Methods:It was a single-center retrospective cohort study. From January 2018 to December 2022, the relevant data were collected from patients who were diagnosed with primary IgAN at the Department of Nephrology, Beijing Anzhen Hospital Affiliated to Capital Medical University, and regularly followed up for at least 1 year. Serum samples were collected at admission and the baseline level of serum GDF15 was measured. Based on the median GDF15 level, IgAN patients were categorized into high-level GDF15 group and low-level GDF15 group, and their clinicopathological characteristics were compared. A multiple linear regression model was then constructed to identify independent factors associated with serum GDF15 level based on these comparisons. Subsequently, Kaplan-Meier survival analysis was performed to investigate the association between serum GDF15 level and the cardiorenal prognosis of IgAN patients.Results:A total of 104 IgAN patients were included in this study. The serum GDF15 level in these IgAN patients was 825.60 (556.84, 1 428.15) ng/L. Serum GDF15 level was positively correlated with 24 h urinary protein ( r=0.405, P<0.001), negatively correlated with estimated glomerular filtration rate (eGFR)( r=-0.606, P<0.001). The serum levels of GDF15 in patients with tubular atrophy or interstitial fibrosis (overall comparison among T0, T1, and T2, H=21.866, P<0.001), crescentic lesions (overall comparison among C0, C1, and C2, H=13.787, P=0.001), or intrarenal arteriolar lesions (overall comparison among none, mild, and moderate-to-severe, H=9.856, P=0.007) were significantly different. Compared with IgAN patients without tubular atrophy or interstitial fibrosis, those with Oxford classification T1 ( Z=-17.326, P=0.042) or T2 ( Z=-42.933, P<0.001) had higher serum GDF15 levels. Compared with IgAN patients without crescentic lesions, those with Oxford classification C2 had higher serum GDF15 levels ( Z=-45.929, P=0.001). Compared with IgAN patients without intrarenal arteriolar lesions, those with moderate-to-severe arteriolar sclerosis had higher serum GDF15 levels ( Z=-26.686, P=0.005). The median GDF15 was used as the cut-off value to divide IgAN patients into a high-level GDF15 group (≥825.60 ng/L, n=52) and a low-level GDF15 group (<825.60 ng/L, n=52). Compared to low-level GDF15 group, IgAN patients in high-level GDF15 group presented with a higher proportion of diabetes mellitus ( χ 2=9.420, P=0.002) and cardiovascular disease ( χ 2=7.792, P=0.005), a higher level of systolic blood pressure ( Z=-2.266, P=0.023), body mass index ( Z=-2.183, P=0.031), 24 h urinary protein ( Z=-3.485, P<0.001), blood total cholesterol ( Z=-2.002, P=0.045) and left ventricular mass index ( Z=-2.649, P=0.008), and a lower level of blood albumin ( Z=-3.053, P=0.002) and eGFR ( Z=6.480, P<0.001). Multiple linear regression analysis showed that serum GDF15 level was independently associated with systolic blood pressure (regression coefficient B=29.453, 95% CI 14.139–44.767, P<0.001), blood albumin ( B=-81.412, 95% CI -113.084–-49.740, P<0.001) and eGFR ( B=-9.797, 95% CI -17.554–-2.040, P=0.014). Moreover, IgAN patients in high-level GDF15 group exhibited significantly poorer cardiac and renal prognosis compared to low-level GDF15 group ( χ 2=9.955, P=0.002). Conclusion:High serum GDF15 level correlates with disease severity in IgAN, and high serum GDF15 level may suggest a poorer cardiorenal prognosis in IgAN patients.

Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients' symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity-potentially attributed to underrecognition-and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, "omics" studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.
Humans ; Immunoglobulin G4-Related Disease/metabolism* ; Immunoglobulin G/metabolism* ; Machine Learning ; Animals ; Proteomics/methods*

Objective To analyze the prescription patterns of Professor Huang Feng,a nationally renowned traditional Chinese medicine(TCM)practitioner,in treating osteomyelitis using data mining methods.Methods Prescription data from effective medical records of osteomyelitis treated by Professor Huang Feng between January 2018 and December 2022 were collected and screened.Microsoft Excel,SPSS Modeler 18.0,and SPSS Statistics 25 were used to analyze the frequency and the distribution of properties,flavors,and meridian tropism of prescribed medications,along with association rule analysis and cluster analysis of high-frequency drugs.Results A total of 137 prescriptions involving 86 Chinese medicinals were included.Eighteen high-frequency medicinals(frequency＞30 times)were identified,namely Glycyrrhizae Radix et Rhizoma,Astragali Radix,Coicis Semen,Angelicae Sinensis Radix,Smilacis Glabrae Rhizoma,Achyranthis Bidentatae Radix,Bletillae Rhizoma,Rehmanniae Radix,Paeoniae Radix Alba,Dendrobii Caulis,Polygalae Radix,Lablab Semen Album,Corydalis Rhizoma,Angelicae Dahuricae Radix,Drynariae Rhizoma,Sanguisorbae Radix,Poria,and Mume Fructus.Most of the prescribed medicinals were neutral in nature,sweet,bitter,and pungent in flavor,and had the meridian tropism of liver,spleen,and lung meridians.Association rule analysis yielded 67 drug association rules,and the high-support combinations were the drug combinations of Astragali Radix respectively with Coicis Semen,Angelicae Sinensis Radix,Smilacis Glabrae Rhizoma and Achyranthis Bidentatae Radix,reflecting the compatibility principles of supplementing and invigorating qi-blood,activating blood circulation to resolve stasis,and draining dampness to remove toxins.Cluster analysis revealed three core clusters:Cluster 1 consisted of Glycyrrhizae Radix et Rhizoma,Astragali Radix,Coicis Semen,Smilacis Glabrae Rhizoma,Angelicae Sinensis Radix,Bletillae Rhizoma,Paeoniae Radix Alba,Angelicae Dahuricae Radix,Mume Fructus,Polygalae Radix and Sanguisorbae Radix;Cluster 2 consisted of Rehmanniae Radix and Dendrobii Caulis;Cluster 3 consisted of Achyranthis Bidentatae Radix,Lablab Semen Album,Corydalis Rhizoma and Poria.Conclusion For the treatment of osteomyelitis,Professor Huang Feng follows the principle of combining supporting healthy qi with eliminating pathogens,focuses on clearing damp-heat and pathogenic toxins accompanied by activating blood circulation to resolve stasis,and lays stress on adaptation to local condition and activating spleen-stomach to reinforce vital qi.

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

Objective:To investigate the correlation between serum growth differentiation factor 15 (GDF15) and the clinicopathological characteristics of patients with IgA nephropathy (IgAN), and further explore the relationship of GDF15 with the cardiac and renal prognosis of IgAN patients.Methods:It was a single-center retrospective cohort study. From January 2018 to December 2022, the relevant data were collected from patients who were diagnosed with primary IgAN at the Department of Nephrology, Beijing Anzhen Hospital Affiliated to Capital Medical University, and regularly followed up for at least 1 year. Serum samples were collected at admission and the baseline level of serum GDF15 was measured. Based on the median GDF15 level, IgAN patients were categorized into high-level GDF15 group and low-level GDF15 group, and their clinicopathological characteristics were compared. A multiple linear regression model was then constructed to identify independent factors associated with serum GDF15 level based on these comparisons. Subsequently, Kaplan-Meier survival analysis was performed to investigate the association between serum GDF15 level and the cardiorenal prognosis of IgAN patients.Results:A total of 104 IgAN patients were included in this study. The serum GDF15 level in these IgAN patients was 825.60 (556.84, 1 428.15) ng/L. Serum GDF15 level was positively correlated with 24 h urinary protein ( r=0.405, P<0.001), negatively correlated with estimated glomerular filtration rate (eGFR)( r=-0.606, P<0.001). The serum levels of GDF15 in patients with tubular atrophy or interstitial fibrosis (overall comparison among T0, T1, and T2, H=21.866, P<0.001), crescentic lesions (overall comparison among C0, C1, and C2, H=13.787, P=0.001), or intrarenal arteriolar lesions (overall comparison among none, mild, and moderate-to-severe, H=9.856, P=0.007) were significantly different. Compared with IgAN patients without tubular atrophy or interstitial fibrosis, those with Oxford classification T1 ( Z=-17.326, P=0.042) or T2 ( Z=-42.933, P<0.001) had higher serum GDF15 levels. Compared with IgAN patients without crescentic lesions, those with Oxford classification C2 had higher serum GDF15 levels ( Z=-45.929, P=0.001). Compared with IgAN patients without intrarenal arteriolar lesions, those with moderate-to-severe arteriolar sclerosis had higher serum GDF15 levels ( Z=-26.686, P=0.005). The median GDF15 was used as the cut-off value to divide IgAN patients into a high-level GDF15 group (≥825.60 ng/L, n=52) and a low-level GDF15 group (<825.60 ng/L, n=52). Compared to low-level GDF15 group, IgAN patients in high-level GDF15 group presented with a higher proportion of diabetes mellitus ( χ 2=9.420, P=0.002) and cardiovascular disease ( χ 2=7.792, P=0.005), a higher level of systolic blood pressure ( Z=-2.266, P=0.023), body mass index ( Z=-2.183, P=0.031), 24 h urinary protein ( Z=-3.485, P<0.001), blood total cholesterol ( Z=-2.002, P=0.045) and left ventricular mass index ( Z=-2.649, P=0.008), and a lower level of blood albumin ( Z=-3.053, P=0.002) and eGFR ( Z=6.480, P<0.001). Multiple linear regression analysis showed that serum GDF15 level was independently associated with systolic blood pressure (regression coefficient B=29.453, 95% CI 14.139–44.767, P<0.001), blood albumin ( B=-81.412, 95% CI -113.084–-49.740, P<0.001) and eGFR ( B=-9.797, 95% CI -17.554–-2.040, P=0.014). Moreover, IgAN patients in high-level GDF15 group exhibited significantly poorer cardiac and renal prognosis compared to low-level GDF15 group ( χ 2=9.955, P=0.002). Conclusion:High serum GDF15 level correlates with disease severity in IgAN, and high serum GDF15 level may suggest a poorer cardiorenal prognosis in IgAN patients.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Objective To explore the prognostic value of early relevant clinical indicators in hemoperfusion patients with severe acute organophosphorus poisoning(AOPP).Methods The clinical data of 91 patients with severe AOPP admitted to Baoding NO.2 Central Hospital from March 2018 to October 2022 were retrospectively analyzed,including gender,age,comorbidities,body mass index(BMI),amount of drug taken,time from drug taking to gastric lavage,number of hemoperfusion,white blood cell count(WBC),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),blood urea nitrogen(BUN),serum cholinesterase(ChE)activity,lymphocyte count,pH value,arterial partial pressure of carbon dioxide(PaCO2),arterial partial pressure of oxygen(PaO2),blood K+,Na+,Cl-and inflammatory cytokine levels,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ),Glasgow coma scale(GCS),the occurrence of complications.The patients were divided into the death group and the survival group according to the prognosis within 72 hours.Differences in early clinical indicators between the two groups were compared,independent risk factors affecting the short-term prognosis of AOPP patients were analyzed by multivariate Logistic regression,and the predictive efficacy of each risk factor on the prognosis of patients was analyzed by plotting the receiver operator characteristic curve(ROC curve).Results The age of the death group was significantly higher than that of the survival group,the proportion of complicated with coronary heart disease,patients with dose of poison,time from poison to gastric perfusion,WBC,ALT,TNF-α,IL-1β and IL-6 levels at admission were significantly higher than those in survival group,and the number of hemoperfusion,TBil,ChE activity,PaCO2 were significantly lower than those in survival group(all P<0.05).Multivariate Logistic regression analysis showed that dose of poison,number of hemoperfusion,ALT,ChE activity and TNF-α were independent risk factors for poor prognosis in AOPP patients[odds ratio(OR)and 95％confidence interval(95％CI)were 1.865(1.032-3.370),2.282(1.406-3.703),2.522(1.258-5.057),2.843(1.036-7.802),2.077(1.107-3.897),respectively,all P<0.05];ROC curve analysis showed that dose of poison,number of hemoperfusion,ALT,ChE activity,TNF-α and the above combined indicators had certain predictive value for the prognosis of AOPP patients,and the combined detection had the highest predictive value,area under the ROC curve(AUC)=0.976,95％CI was 0.919-0.996.AOPP exhibited a sensitivity of 100.0％and a specificity of 85.7％,all P<0.05.With the increase of hemoperfusion times,compared with admission,the levels of WBC,ALT,AST,TBil,serum creatinine(SCr),ChE activity,TNF-α,IL-1β and IL-6 showed a significant decrease trend,while the levels of PaCO2 and PaO2 showed a significant increase trend(all P<0.05).Conclusion The early dose of poison,number of hemoperfusion,ALT,ChE activity,and TNF-α in severe AOPP patients can help predict short-term prognosis.