ObjectiveTo investigate the accuracy of multiple discriminant analysis （MDA） versus fibrosis-4 （FIB-4） in assessing liver fibrosis degree in patients with HBV infection， as well as the possibility of MDA as an indicator for disease progression. MethodsA total of 263 patients with HBV infection who underwent liver biopsy in The First Affiliated Hospital of Guangxi Medical University from April 2010 to April 2024 were included， and their clinical data were collected. According to the results of pathological examination， they were divided into non-significant fibrosis group （F<2） with 126 patients and significant fibrosis group （F≥2） with 137 patients. The correlation of MDA and FIB-4 with liver fibrosis degree was analyzed， and MDA and FIB-4 were compared in terms of their accuracy in assessing significant liver fibrosis. A total of 62 patients completed follow-up， and according to the presence or absence of progression to liver cirrhosis at the last follow-up visit， they were divided into progressive group with 21 patients and non-progressive group with 41 patients； the efficacy of MDA and FIB-4 in diagnosing disease progression was analyzed and compared. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the Kruskal-Wallis H test was used for comparison between multiple groups， and the Bonferroni method was used for further comparison between two groups. The chi-square test was used for comparison of categorical data. The Spearman’s correlation coefficient was used for correlation analysis. The Wilcoxon signed rank sum test was used for the analysis of baseline data and data at the end of follow-up， and the binary Logistic regression analysis was used to investigate the influencing factors for progression to liver cirrhosis. The receiver operating characteristic （ROC） curve was used to investigate the diagnostic efficacy of indicators， the Z-test was used for comparison of the area under the ROC curve （AUC）， and the paired chi-square test was used for comparison of the sensitivity， specificity， and accuracy of the two indicators. ResultsThe correlation coefficient between FIB-4 and liver fibrosis degree was 0.378， while the correlation coefficient between MDA and liver fibrosis degree was -0.325 （both P<0.001）. FIB-4 had an AUC of 0.688， a sensitivity of 64.96%， a specificity of 68.87%， a positive predictive value of 67.42%， a negative predictive value of 63.36%， an accuracy of 65.40%， and a cut-off value of 1.01， while MDA had an AUC of 0.653， a sensitivity of 52.55%， a specificity of 78.57%， a positive predictive value of 72.73%， a negative predictive value of 60.37%， an accuracy of 65.02%， and a cut-off value of 0.29， suggesting that compared with FIB-4， MDA had a lower sensitivity （P=0.004） and a higher specificity （P=0.001）. The progressive group had a significantly higher age than the non-progressive group at baseline （t=2.611， P=0.011）. For the progressive group， there was an increase in FIB-4 and a reduction in MDA from baseline to the end of follow-up （both P<0.001）， while the non-progressive group showed no significant changes （both P>0.05）. The multivariate Logistic regression analysis showed that aspartate aminotransferase （odds ratio ［OR］=0.940， 95% confidence interval ［CI］： 0.885‍ ‍—‍ ‍0.998， P<0.05） and MDA （OR=0.445， 95%CI： 0.279‍ ‍—‍ ‍0.710， P<0.001） were independent influencing factors for disease progression. MDA had an AUC of 0.893 and an optimal cut-off value of -0.01 in diagnosing the disease progression of liver cirrhosis. ConclusionMDA has a comparable accuracy to FIB-4 in the diagnosis of significant liver fibrosis， and MDA<-0.01 has a high accuracy in diagnosing the progression of liver fibrosis to liver cirrhosis， which can help to reduce the need for liver biopsy in clinical practice.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Quantum dots (QDs), nanoscale semiconductor crystals, have emerged as a revolutionary class of nanomaterials with unique optical and electrochemical properties, making them highly promising for applications in disease diagnosis and treatment. Their tunable emission spectra, long-term photostability, high quantum yield, and excellent charge carrier mobility enable precise control over light emission and efficient charge utilization, which are critical for biomedical applications. This article provides a comprehensive review of recent advancements in the use of quantum dots for disease diagnosis and therapy, highlighting their potential and the challenges involved in clinical translation. Quantum dots can be classified based on their elemental composition and structural configuration. For instance, IB-IIIA-VIA group quantum dots and core-shell structured quantum dots are among the most widely studied types. These classifications are essential for understanding their diverse functionalities and applications. In disease diagnosis, quantum dots have demonstrated remarkable potential due to their high brightness, photostability, and ability to provide precise biomarker detection. They are extensively used in bioimaging technologies, enabling high-resolution imaging of cells, tissues, and even individual biomolecules. As fluorescent markers, quantum dots facilitate cell tracking, biosensing, and the detection of diseases such as cancer, bacterial and viral infections, and immune-related disorders. Their ability to provide real-time, in vivo tracking of cellular processes has opened new avenues for early and accurate disease detection. In the realm of disease treatment, quantum dots serve as versatile nanocarriers for targeted drug delivery. Their nanoscale size and surface modifiability allow them to transport therapeutic agents to specific sites, improving drug bioavailability and reducing off-target effects. Additionally, quantum dots have shown promise as photosensitizers in photodynamic therapy (PDT). When exposed to specific wavelengths of light, quantum dots interact with oxygen molecules to generate reactive oxygen species (ROS), which can selectively destroy malignant cells, vascular lesions, and microbial infections. This targeted approach minimizes damage to healthy tissues, making PDT a promising strategy for treating complex diseases. Despite these advancements, the translation of quantum dots from research to clinical application faces significant challenges. Issues such as toxicity, stability, and scalability in industrial production remain major obstacles. The potential toxicity of quantum dots, particularly to vital organs, has raised concerns about their long-term safety. Researchers are actively exploring strategies to mitigate these risks, including surface modification, coating, and encapsulation techniques, which can enhance biocompatibility and reduce toxicity. Furthermore, improving the stability of quantum dots under physiological conditions is crucial for their effective use in biomedical applications. Advances in surface engineering and the development of novel encapsulation methods have shown promise in addressing these stability concerns. Industrial production of quantum dots also presents challenges, particularly in achieving consistent quality and scalability. Recent innovations in synthesis techniques and manufacturing processes are paving the way for large-scale production, which is essential for their widespread adoption in clinical settings. This article provides an in-depth analysis of the latest research progress in quantum dot applications, including drug delivery, bioimaging, biosensing, photodynamic therapy, and pathogen detection. It also discusses the multiple barriers hindering their clinical use and explores potential solutions to overcome these challenges. The review concludes with a forward-looking perspective on the future directions of quantum dot research, emphasizing the need for further studies on toxicity mitigation, stability enhancement, and scalable production. By addressing these critical issues, quantum dots can realize their full potential as transformative tools in disease diagnosis and treatment, ultimately improving patient outcomes and advancing biomedical science.

ObjectiveTo identify Lycium chinense and L. barbarum as the original plants of Lycii Cortex simply and efficiently by multiple allele-specific polymerase chain reaction （PCR）. MethodThe chloroplast genome sequences of L. chinense and L. barbarum were downloaded from the Chloroplast Genome Information Resource （CGIR）， and then IdenDSS was employed to screen out the specific single nucleotide polymorphism （SNP） sites between the two plants. Primer 5.0 was used to design the specific primers， including primers GQ-F/R for identifying L. chinense and primers NX-F/R for identifying L. barbarum. Furthermore， the primer concentration ratio， annealing temperature， cycles， and Taq enzyme were optimized to establish the optimal PCR system and conditions for plant identification. Finally， the applicability of the established method was examined with the plant samples collected from different regions. ResultThe PCR with GQ-F/R∶NX-F/R concentration ratio of 2∶1 at the annealing temperature at 59 ℃ and for 30 cycles showed specific bands at 183 bp and 295 bp， respectively， for L. chinense and L. barbarum samples from different regions. ConclusionThe established PCR approach can simply， rapidly， and efficiently identify the original plants of Lycii Cortex， serving as a new method for the discrimination between L. chinense and L. barbarum. Moreover， the method provides technical support for the research and development of classic famous prescriptions containing Lycii Cortex.

Objective To observe the inhibitory effect of Guiqi Yiyuan ointment on tumor growth in mice with Lewis lung cancer,and to explore the molecular mechanism of Guiqi Yiyuan ointment combined with cisplatin through phosphoinositide 3-kinase/protein kinase B/mammalian rapamycin target protein(PI3K/Akt/mTOR)signal pathway.Methods Sixty C57BL/6 mice were randomly divided into 6 groups with 10 mice in each group.Except for the blank group(0.9％NaCl),Lewis lung cancer-bearing mice were randomly divided into model group(0.9％NaCl),control group(0.9％NaCl,cisplatin 5 mg·kg-1)and low,medium,high dose experimental groups(Guiqi Yiyuan ointment 1.6,3.3,6.6 g·kg-1,cisplatin 5 mg·kg-1).Flow cytometry was used to detect bone marrow-derived suppressor cells(MDSCs);the expression of related proteins in tumor tissues was detected by Western blot.Results The tumor inhibition rates in control group and low,medium,high dose experimental groups were(39.87±4.45)％,(45.74±14.97)％,(57.78±4.70)％and(69.82±11.05)％.The proportion of MDSCs in bone marrow of in blank group,model group,control group and low,medium,high dose experimental groups were(36.13±1.08)％,(68.63±2.94)％,(58.93±2.02)％,(58.00±1.50)％,(50.93±5.06)％and(43.07±2.41)％.The protein expressions of p-PI3K/PI3K in model group,control group and low,medium and high experimental groups were 0.97±0.03,0.77±0.02,0.72±0.01,0.68±0.03 and 0.53±0.02;PTEN were 0.21±0.07,0.65±0.07,0.74±0.06,0.99±0.13,1.11±0.13;p-Akt/Akt were 1.01±0.02,0.82±0.02,0.77±0.00,0.72±0.03 and 0.52±0.04;p-mTOR/mTOR were 1.01±0.01,0.76±0.05,0.69±0.07,0.59±0.06 and 0.47±0.06.There were significant differences between low,medium,high experimental groups and control group(all P＜0.05).Conclusion Guiqi Yiyuan ointment combined with cisplatin can significantly improve the quality of life and inhibit tumor growth in mice.The mechanism may be the inhibition of PI3K/Akt/mTOR signal pathway and the enhancement of tumor cell apoptosis and autophagy.

Objective To observe the effects of traditional Chinese medicine compound Platycodon grandiflorum Bai powder on the growth of subcutaneously implanted tumor and the expression of B-cell lymphoma-2(Bcl-2),Bcl-2 associated X protein(Bax),cysteinyl aspartate specific proteinase(caspase)-3 and caspase-9 in subcutaneously implanted tumor of Lewis lung cancer mice.Methods The model of transplanted tumor of Lewis lung cancer in mice was established.Seventy SPF male C57BL/6 mice were randomly divided into blank group,model group,low dose experimental group,medium dose experimental group,high dose experimental group,control group and combined group.Blank group and model group were given 0.9％NaCl 0.2 mL by gavage;control group was given 0.9％NaCl by gavage and 25 mg·kg-1cisplatin intraperitoneally;high,medium,low dose experimental groups were given 193,96,48 mg·kg-1·d-1 Platycodon grandiflorum Bai powder 0.2 mL by gavage,respectively;combined group was given 96 mg·kg-1·d-1 Platycodon grandiflorum Bai powder 0.2 mL by gavage,and 25 mg·kg-1 cisplatin intraperitoneally,once every other day.The myelogenous suppressor cells(MDSCs)of mouse bone marrow were detected by flow cytometry,and the expressions of Bel-2,Bax,caspase-3 and caspase-9 in tumor cells were detected by immunofluorescence.Results The percentage of MDSCs in bone marrow of mice in blank group,model group,low dose experimental,medium,high dose experimental group,control group and combination group were(32.50±2.76)％,(63.13±3.14)％,(48.43±2.23)％,(42.53±1.28)％,(32.93±3.56)％,(51.30±4.25)％and(19.90±6.21)％,respectively.The fluorescence intensities of Bax in model group,low dose experimental group,medium dose experimental group,high dose experimental group,control group and combination group were 10.42±0.68,12.40±1.23,15.14±0.65,22.95±1.76,27.18±1.62 and 31.61±1.28;Bel-2 were 36.85±0.80,33.92±4.20,28.88±1.01,20.04±2.21,15.69±2.36 and 6.05±0.73;caspase-3 were 5.28±0.44,7.63±0.55,9.66±0.85,14.73±1.18,17.95±1.29 and 22.92±1.95;caspase-9 were 9.48±0.90,11.57±0.72,13.45±0.93,15.73±1.44,19.20±0.96 and 23.21±1.51.There were significant differences between medium,high dose experimental groups and model group(all P＜0.05),and there were significant differences between combined group and control group(all P＜0.05).Conclusion Platycodon grandiflorum Bai powder can up-regulating the expression of Bax,caspase-3 and caspase-9,down-regulating the expression of Bel-2,inhibiting MDSCs,promoting tumor cell apoptosis and inhibiting tumor growth.

Objective To analyze the relationship of the volume of 87 brain regions with postnatal age and neurobehavior in full-term neonates.Methods A total of 75 full-term newborns[gestational age(39.38±1.22)weeks;male/female(51/24);postnatal age(11.11±6.67)days]without abnormalities on brain MRI(three-dimensional T1-weighted imaging,3D T1WI)at our hospital between November 2010 and September 2017 were retrospectively included.Based on the template of 87 brain regions,the neonatal brains were divided into 87 brain regions and their volumes were calculated by using V-shape Bottleneck network(VB-Net)deep learning segmentation technique,Pearson partial correlation and regression analysis were used to explore the relationship of the volume of each brain region with postnatal age and neurobehavioral scores.Results After adjusting for gestational age,birth weight,head circumference,body length and sex,66.7％of the regional brain volumes(58/87 brain regions)significantly increased with the postnatal age(correlation coefficient r:0.2-0.7,P＜0.05).The volumes of gray matter in bilateral lentiform nucleus,left caudate nucleus,right occipital lobe,right inferior temporal lobe,and bilateral anterior temporal lobe strongly correlated with the postnatal age(r＞0.50,P＜0.05).The gray matter volume of the right occipital lobe linearly increased with age(slope:100.67),and was positively correlated with behavioral scores(r=0.324,P＜0.01).Conclusion Most of regional brain volumes increase with the postnatal age during the neonatal period,and the fastest growth occurs in primary sensorimotor-related brain regions,presenting the spatial heterogeneity.Partial brain region grows with the development of behavioral ability.