Objective To analyze the serum metabolomic changes of preterm infants with bronchopulmonary dysplasia(BPD)at postmenstrual age(PMA)36 weeks,screen potential biomarkers and associated metabolic pathways,and assess their relationship with short-term respiratory outcomes.Methods A retrospective case-control study was conducted.Infants with gestational age 28-32 weeks admitted to the Children's Hospital Affiliated to Zhengzhou University from January to December 2024 were included.Twenty infants with BPD and 20 gestational age-,birth weight-,and sex-matched non-BPD preterm infants were included.Serum collected at PMA 36 weeks was subjected to untargeted metabolomics analysis,and associations with short-term respiratory outcomes were analyzed.Results Thirteen potential biomarkers distinguishing BPD were identified(area under the curve>0.75,P<0.05).Eight biomarkers—including terephthalic acid,phosphatidylinositol,fumarate,and lysophosphatidic acid—were significantly upregulated(FC≥1.5),while five biomarkers,such as 7α-hydroxy-3-oxo-4-cholestenoate ester and phosphatidylcholine,were significantly downregulated(FC≤1/1.5).Pathway analysis indicated five pathways associated with BPD,including glycerophospholipid metabolism and phenylalanine metabolism.Dysregulation of glycerophospholipid and bile acid metabolism may affect adverse short-term respiratory outcomes in infants with BPD.Conclusions The 13 significantly different metabolites may serve as biomarkers for the diagnosis of BPD.Glycerophospholipid metabolism is associated with the occurrence of BPD and with adverse short-term respiratory outcomes.

Objective To analyze the serum metabolomic changes of preterm infants with bronchopulmonary dysplasia(BPD)at postmenstrual age(PMA)36 weeks,screen potential biomarkers and associated metabolic pathways,and assess their relationship with short-term respiratory outcomes.Methods A retrospective case-control study was conducted.Infants with gestational age 28-32 weeks admitted to the Children's Hospital Affiliated to Zhengzhou University from January to December 2024 were included.Twenty infants with BPD and 20 gestational age-,birth weight-,and sex-matched non-BPD preterm infants were included.Serum collected at PMA 36 weeks was subjected to untargeted metabolomics analysis,and associations with short-term respiratory outcomes were analyzed.Results Thirteen potential biomarkers distinguishing BPD were identified(area under the curve>0.75,P<0.05).Eight biomarkers—including terephthalic acid,phosphatidylinositol,fumarate,and lysophosphatidic acid—were significantly upregulated(FC≥1.5),while five biomarkers,such as 7α-hydroxy-3-oxo-4-cholestenoate ester and phosphatidylcholine,were significantly downregulated(FC≤1/1.5).Pathway analysis indicated five pathways associated with BPD,including glycerophospholipid metabolism and phenylalanine metabolism.Dysregulation of glycerophospholipid and bile acid metabolism may affect adverse short-term respiratory outcomes in infants with BPD.Conclusions The 13 significantly different metabolites may serve as biomarkers for the diagnosis of BPD.Glycerophospholipid metabolism is associated with the occurrence of BPD and with adverse short-term respiratory outcomes.

Objective To investigate the application value of combining the Demirjian's method with ma-chine learning algorithms for dental age estimation in northern Chinese Han children and adolescents.Methods Oral panoramic images of 10 256 Han individuals aged 5 to 24 years in northern China were collected.The development of eight permanent teeth in the left mandibular was classified into different stages using the Demirjian's method.Various machine learning algorithms,including support vector re-gression(SVR),gradient boosting regression(GBR),linear regression(LR),random forest regression(RFR),and decision tree regression(DTR)were employed.Age estimation models were constructed based on total,female,and male samples respectively using these algorithms.The fitting performance of different machine learning algorithms in these three groups was evaluated.Results SVR demonstrated superior estimation efficiency among all machine learning models in both total and female samples,while GBR showed the best performance in male samples.The mean absolute error(MAE)of the op-timal age estimation model was 1.246 3,1.281 8 and 1.153 8 years in the total,female and male samples,respectively.The optimal age estimation model exhibited varying levels of accuracy across dif-ferent age ranges,which provided relatively accurate age estimations in individuals under 18 years old.Conclusion The machine learning model developed in this study exhibits good age estimation effi-ciency in northern Chinese Han children and adolescents.However,its performance is not ideal when applied to adult population.To improve the accuracy in age estimation,the other variables can be con-sidered.

BACKGROUND: Glutamine synthetase (GS) and arginase 1 (Arg1) are widely used pathological markers that discriminate hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma; however, their clinical significance in HCC remains unclear. METHODS: We retrospectively analyzed 431 HCC patients: 251 received hepatectomy alone, and the other 180 received sorafenib as adjuvant treatment after hepatectomy. Expression of GS and Arg1 in tumor specimens was evaluated using immunostaining. mRNA sequencing and immunostaining to detect progenitor markers (cytokeratin 19 [CK19] and epithelial cell adhesion molecule [EpCAM]) and mutant TP53 were also conducted. RESULTS: Up to 72.4% (312/431) of HCC tumors were GS positive (GS+). Of the patients receiving hepatectomy alone, GS negative (GS-) patients had significantly better overall survival (OS) and recurrence-free survival (RFS) than GS+ patients; negative expression of Arg1, which is exclusively expressed in GS- hepatocytes in the healthy liver, had a negative effect on prognosis. Of the patients with a high risk of recurrence who received additional sorafenib treatment, GS- patients tended to have better RFS than GS+ patients, regardless of the expression status of Arg1. GS+ HCC tumors exhibit many features of the established proliferation molecular stratification subtype, including poor differentiation, high alpha-fetoprotein levels, increased progenitor tumor cells, TP53 mutation, and upregulation of multiple tumor-related signaling pathways. CONCLUSIONS GS- HCC patients have a better prognosis and are more likely to benefit from sorafenib treatment after hepatectomy. Immunostaining of GS may provide a simple and applicable approach for HCC molecular stratification to predict prognosis and guide targeted therapy.
Humans ; Carcinoma, Hepatocellular/metabolism* ; Sorafenib/therapeutic use* ; Liver Neoplasms/metabolism* ; Glutamate-Ammonia Ligase/metabolism* ; Hepatectomy ; Retrospective Studies ; Prognosis ; Neoplasm Recurrence, Local/surgery*

ObjectiveTo explore the effect and possible mechanism of Shenqi Pills （肾气丸） on cognitive impairment and hippocampal glucose energy metabolism in type 2 diabetes mellitus （T2DM）. MethodsSixty C57BL/6 mice were randomly divided into control group， model group， rosiglitazone group and Shenqi Pills low-， medium- and high-dose groups， with 10 mice in each group. T2DM model was induced by a high-fat diet combined with intraperitoneal injection of streptozotocin in all the groups except for the control group. After successful modeling， the high-， medium-， and low-dose Shenqi Pills groups were given 2.08， 1.04， and 0.52 g/（kg·d） of Shenqi Pills granules by gavage respectively， while the rosiglitazone group was given 3 mg/（kg·d） of rosiglitazone tablets by gavage， and the control group and model group were gavaged with 10 ml/（kg·d） of distilled water， all for 8 consecutive weeks. The body weight and fasting blood glucose （FBG） level were recorded every two weeks. The Morris water maze test was performed on the 8th week of medication. After 8-week medication， oral glucose tolerance test （OGTT） and fasting insulin level were measured， hippocampal glucose energy metabolism-related products were quantitatively detected by liquid chromatography tandem mass spectrometry， and KEGG annotation analysis was performed. ResultsCompared to those measured at the same timepoints in the control group， the body mass on week 6 and 8， as well as the FBG level on week 2， 4， 6 and 8 in the model group increased； the blood glucose level at 0， 30， 60 and 120 minutes of the OGTT test increased， while fasting insulin level after 8-week medication decreased. The escape latency of the model group was significantly prolonged on the 3rd and 4th days， and the escape latency time increased， while the total swimming distance， platform quadrant residence time and the number of platform crossings decreased （P＜0.05 or P＜0.01）. Compared to those measured at the same timepoints in the model group， the body mass on week 6 in the low-dose Shenqi Pills group， on week 6 and 8 in the medium- and high-dose groups， and on week 8 in the rosiglitazone group were significantly reduced； the FBG levels in all the Shenqi Pills groups and rosiglitazone group on week 6 and 8 decreased， while fasting insulin levels increased. In the OGTT test， blood glucose in the medium-dose group of Shenqi Pills at all timepoints decreased； in the Morris water maze test， the escape latency period of the medium- and high-dose Shenqi Pills groups was shortened on the 3rd and 4th days， while the escape latency time was reduced， and the total swimming distance， platform quadrant residence time， and number of platform crossings increased in the medium-dose Shenqi Pills group （P＜0.05 or P＜0.01）.The medium-dose Shenqi Pills showed best effect， therefore it was selected for the targeted quantitative detection of metabolites. The medium-dose Shenqi Pills group could regulate the disorder of glucose metabolism in the hippocampus of T2DM mice， and 13 differential metabolites were found，up-regulating α-ketoglutarate and 3-phosphoglyceric acid， and down-regulating fumaric acid， glutamatic acid， lactatic acid， inosine， malic acid， adenine， fructose 1,6-diphosphate and others. KEGG annotation of differential metabolites suggested that Shenqi Pills was closely related to the regulation of glucose metabolism disorder and insulin resistance in the hippocampus region of T2DM model mice， as well as neurodegenerative diseases and ABC transport， hypoxia-inducible factor 1 （HIF）， forkhead transcription factor （FoXO） and cyclic adenosine monophosphate （cAMP） signaling pathways. ConclusionShenqi Pills can improve learning and memory abilities and cognitive impairment in T2DM mice， and may act its role by regulating glucose energy metabolism in the hippocampus of T2DM.

Objective:To explore the antidepressant mechanism of Yinxing Mihuan oral solution （YMO） by investigating its effect on depression model rats. Method:The depression rats were induced by isolation combined with chronic unpredictable mild stress （CUMS） and then randomly divided into model group， fluoxetine group （10 mg·kg^-1） and high-dose （618 mg·kg^-1） and low-dose （309 mg·kg^-1） YMO groups. A blank control group was also set up and ten rats were included in each group. Modeling lasted for 21 consecutive days， and rats were administered the 8th day after stimulation at a dose of 10 mL·kg^-1 for 14 days， except those in the blank control and model groups which were given distilled water. Afterward， the sucrose preference test， open field test， tail suspension test were carried out. The pathological changes of hippocampus in depression rats were observed after hematoxylin-eosin （HE） staining. The content of interleukin-1β （IL-1β）， interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in the hippocampus of rats in each group and the expression of NOD-like receptor 3 （NLRP3） and other proteins in its related activation signaling pathways were detected with multi-factor detection （Luminex） and Western blot. Result:After 14 days of continuous administration， compared with the blank control group， the model group witnessed significantly reduced sugar water consumption rate and the times of rearing and significantly prolonged cumulative time of immobility during tail suspension （P<0.05， P<0.01）. Compared with the model group， the fluoxetine group and the high-dose YMO group saw increases in the times of rearing， times of crossing and sugar water consumption rate and a significant decrease in the cumulative time of immobility during tail suspension （P<0.05， P<0.01）. The results of HE staining showed that the neurons in the hippocampus of rats in the high-dose YMO group were arranged in order and slightly loosened， without obvious microglia infiltration observed. The levels of IL-1β， IL-6 and TNF-α in the hippocampus of the model group increased significantly as compared with the blank control group （P<0.05， P<0.01）， and their content in the high-dose YMO group was significantly lowered in the comparison with the model group （P<0.05， P<0.01）. Molecular biology experiments demonstrated that compared with the results of blank group， the expression of purinergic receptor P2X7 （P2RX7）， NLRP3， apoptosis-associated speck-like protein （ASC）， Caspase-1 and IL-1β remarkably increased in the model group （P<0.05， P<0.01）. Additionally， the expression of P2RX7， NLRP3， ASC， Caspase-1 and IL-1β was significantly inhibited in the fluoxetine group and the high-dose YMO group compared with the model group （P<0.05， P<0.01）. Conclusion:YMO can improve the depression-like behaviors of rats induced by isolation combined with CUMS， and its mechanism of action is related to the regulation of the P2RX7/NLRP3 signaling pathway.

The objective of this study was to investigate the expression profile of the myozenin2 (MYOZ2) gene and elucidate its effect on adipogenic differentiation of C3H10T1 / 2 cells and its possible mechanism∙ The longissimus dorsi‚ subcutaneous fat and liver tissue was collected from 180-day-old Mashen pigs‚ 60-day-old ICR mice‚ 35-day-old Ross broiler and 12-month-old Small tail han sheep‚ and the expression profile of the MYOZ2 gene mRNA was detected∙ The results showed that the MYOZ2 gene has similar patterns of tissue expression in examined species‚ with the highest expression level in longissimus dorsi‚ and a small amount of expression in the subcutaneous fat and liver tissue∙ After the MYOZ2 gene was silenced in C3H10T1 / 2 cells‚ qRT-PCR results showed that the expression levels of key adipogenic genes PPARγ and FABP4 were significantly down-regulated compared with the control group (P < 0∙ 01) ; Western Blotting results showed that the PPARγ protein content was significantly decreased (P < 0∙ 05) ; Oil red O staining showed that the number of lipid droplets and the content of triglyceride were significantly decreased after silencing MYOZ2 (P < 0∙ 05) ∙ The expression of fatty acid metabolism related genes SCD‚ FASN‚ SREBP1‚ NR1H3‚ DGAT1‚ PNPLA2‚ HSL‚ CES1‚ CPT1 after MYOZ2 silencing were detected by qRT-PCR∙ The results showed that SCD‚ FASN‚ SREBP1‚ PNPLA2 and HSL were significantly down-regulated (P < 0∙ 01) ‚ NR1H3 was significantly reduced (P < 0∙ 05) ‚ DGAT1 expression was down-regulated but the difference was not significant‚ CES1 and CPT1 were significantly up-regulated (P < 0∙ 05) ∙ The STRING database was used to construct a MYOZ2-related protein interaction network map‚ and it was found that MYOZ2 may affect the adipogenic differentiation through the interaction of titin-cap (TCAP) and PPARγ∙ After silencing TCAP‚ qRT-PCR results showed that compared with the control group‚ the expression of key adipogenic genes PPARγ and FABP4 were significantly up-regulated (P < 0∙ 01) ; Western Blotting results showed that PPARγ protein was significantly increased (P< 0∙ 05) ; Oil red O staining showed that the number of lipid droplets and the content of triglyceride were significantly increased after TCAP silencing (P < 0∙ 05) ∙ qRT-PCR was used to detect the expression of TCAP after silencing MYOZ2‚ and the results showed that the expression of TCAP was significantly increased (P<0∙ 01) ∙ In summary‚ MYOZ2 was highly expressed in longissimus dorsi and lower expressed in subcutaneous fat and liver tissues∙ In addition‚ MYOZ2 may regulate the expression of key adipogenic genes PPARγ and FABP4 through the interaction of MYOZ2-TCAP -PPARγ‚ and to further regulate the expression of fatty acid metabolism related genes SCD‚ FASN‚ SREBP1‚ NR1H3‚ DGAT1‚ PNPLA2‚ HSL‚ CES1 and CPT1‚ thus playing an important role in the process of adipogenic differentiation∙

The discovery of penicillin has effectively controlled the infection caused by Gram-positive bacteria. Afterwards, the research and development of antibacterial drugs has entered the golden age, and made a great contribution to human health. However, in recent years, with the increasing use of antibiotics around the world, pathogenic bacteria drive gene mutation to obtain drug resistance to ensure its survival advantage, and promote the transfer of drug-resistant genes, resulting in a sharp increase of drug-resistant bacteria. In addition, the current development speed of new antibiotics is far slower than the growth and spread speed of drug-resistant bacteria, which makes the drug-resistant crisis more serious and becomes one of the biggest threats to the global community. Compared with the same type of bacterial infection, drug-resistant bacterial infection has the characteristics of complexity and refractoriness, which causes worse clinical outcome and higher risk of death in patients, and brings severe challenges to clinical work. If the trend of bacterial drug resistance is not controlled, the crisis of no drug available will come. Therefore, it is urgent to explore effective alternative means to fight against bacterial drug resistance and reduce the harm of drug-resistant bacterial infection. Traditional Chinese medicine（TCM） has unique advantages in the treatment of infectious diseases. Compared with modern antibacterial drugs, it has the characteristics of wide sources, rich active ingredients, and is not easy to produce drug resistance. It may be an important source for screening and developing new anti-infective drugs. Therefore, it is promising to develop and utilize TCM to solve the problem of drug-resistant bacteria infection. This paper will review relevant studies in recent years in terms of interfering with the biochemical metabolism of drug-resistant bacteria to directly inhibit or kill drug-resistant bacteria, improving bacterial drug resistance to indirectly inhibit bacteria and kill bacteria, and maintaining the balance of the body and regulating the treatment of drug-resistant bacteria infection as a whole, so as to provide references for guiding clinical medication and research and development of new traditional Chinese medicines.

Diabetes mellitus complicated with cerebral infarction is the commonest and most serious vascular complication of diabetes mellitus. With a high disability and mortality rate, it seriously threatens human health. Because the pathogenesis is still unclear, more and more scholars have focused on the research of diabetic cerebral infarction at home and abroad. Traditional Chinese medicine(TCM) compounds have a remarkable curative effect in the treatment of diabetic cerebral infarction. Its mechanisms of action mainly include anti-hypertension, reduction of blood sugar and lipid, promotion of vascular regeneration and vascular endothelial function, anticoagulation, anti-thrombosis, improvement of nerve function defect, reduction of infarct volume, improvement of hemorheological, inhibition of inflammation and platelet aggregation, and promotion of collateral circulation. Through literature search, this paper summarizes the research progress of the mechanisms of TCM compounds in treating diabetic cerebral infarction in recent five years at home and abroad, in order to provide reference for clinical treatment.

OBJECTIVETo compare the different therapeutic effect between acupuncture at Shiqizhui (EX-B 8) only and multi acupoints on dysmenorrhea.

METHODSThirty eight cases were randomly divided into a single acupoint group and a multi-acupoints group, 19 cases in each group. The single acupoint group was treated by acupuncture at Shiqizhui (EX-B 8) only, and the multi-acupoints group by acupuncture at Shiqizhui (EX-B 8), Sanyinjiao (SP 6), Diji (SP 8), Ciliao (BL 32). They were all treated from the first day when sudden intense pain occurs, one time each day, for 3 days in each menstrual cycle, the treatment of three menstrual cycles. The therapeutic effect and Visual Analogue Scale (VAS) were compared and the score of general frequency and severity of dysmenorrhea by using Cox Menstrual Symptom Scale (CMSS) were evaluated.

RESULTSThe cured rate was 68.4% (13/19) and the effective rate was 31.6% (6/19) in the single acupoint group, being similar to 78.9% (15/19) and 21.1% (4/19) in the multi-acupoints group (P > 0.05). VAS and the scores of general frequency and severity of dysmenorrhea were all significantly decreased after treatment in both groups (all P < 0.001), with no significant difference between the two groups (all P > 0.05).

CONCLUSIONAcupuncture at Shiqizhui (EX-B 8) only can be as effective as selecting multi-acupoints to cure essential dysmenorrhea.

Acupuncture Points ; Acupuncture Therapy ; methods ; Adolescent ; Adult ; Analgesia ; Dysmenorrhea ; therapy ; Female ; Humans ; Medicine, Chinese Traditional ; Young Adult