This study aims to investigate the in vitro mechanisms underlying the beneficial effects of puerarin on hepatic insulin resistance(IR) based on the carbohydrate response element-binding protein(ChREBP)/peroxisome proliferator-activated receptor(PPAR)α/PPARγ axis involved in glucose and lipid metabolism. An IR-HepG2 cell model was established by treating cells with dexamethasone for 48 h, and the cells were then treated with 10, 20, and 40 μmol·L~(-1) puerarin for 24 h. Glucose levels and output in the extracellular fluid were measured by the glucose oxidase method, while cell viability was assessed by the cell counting kit-8(CCK-8) assay. The adenosine triphosphate(ATP) content and glycogen synthesis were evaluated through chemiluminescence and periodic acid-Schiff staining, respectively. Western blot was employed to quantify the protein levels of forkhead box protein O1(FoxO1), phosphorylated forkhead box protein O1 [p-FoxO1(Ser256)], glucagon, phosphofructokinase, liver type(PFKL), pyruvate kinase L-R(PKLR), pyruvate dehydrogenase complex 1(PDHA1), insulin receptor substrate 2(IRS2), phosphatidylinositol 3-kinase p85(PI3KR1), phosphorylated protein kinase B [p-Akt(Thr308)], glycogen synthase(GYS), glycogen phosphorylase, liver type(PYGL), adiponectin(ADPN), ChREBP, PPARα, and PPARγ. Additionally, the protein levels of acetyl-CoA carboxylase 1(ACC1), phosphorylated ATP citrate lyase [p-ACLY(Ser455)], sterol regulatory element binding protein 1c(SREBP-1c), peroxisome proliferator-activated receptor gamma coactivator 1α(PGC1α), carnitine palmitoyltransferase 1α(CPT1α), and glucagon receptor(GCGR) were also determined. Immunofluorescence was employed to visualize the expression and nuclear location of ChREBP/PPARα/PPARγ. Furthermore, quantitative PCR with the antagonists GW6471 and GW9662 was employed to assess Pparα, Pparγ, and Chrebp. The findings indicated that puerarin effectively reduced both the glucose level and glucose output in the extracellular fluid of IR-HepG2 cells without obvious effect on the cell viability, and it increased intracellular glycogen and ATP levels. Puerarin down-regulated the protein levels of FoxO1 and glucagon while up-regulating the protein levels of p-FoxO1(Ser256), PFKL, PKLR, PDHA1, IRS2, PI3KR1, p-Akt(Thr308), GYS, PYGL, ADPN, ACC1, SREBP-1c, p-ACLY(Ser455), PGC1α, CPT1α, and GCGR in IR-HepG2 cells. Furthermore, puerarin up-regulated both the mRNA and protein levels of ChREBP, PPARα, and PPARγ and promoted the translocation into the nucleus. GW6471 was observed to down-regulate the expression of Pparα while up-regulating the expression of Chrebp and Pparγ. GW9662 down-regulated the expression of Pparγ while up-regulating the expression of Pparα, with no significant effect on Chrebp. In summary, puerarin activated the hepatic ChREBP/PPARα/PPARγ axis, thereby coordinating the glucose and lipid metabolism, promoting the conversion of glucose to lipids to exert the blood glucose-lowering effect.
Isoflavones/pharmacology* ; Humans ; PPAR gamma/genetics* ; Hep G2 Cells ; Glucose/metabolism* ; Lipid Metabolism/drug effects* ; PPAR alpha/genetics* ; Liver/drug effects* ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics* ; Insulin Resistance

This paper aims to investigate the hypoglycemic effect and mechanism of berberine in improving energy metabolism based on the multi-pathway regulation of brain and muscle aromatic hydrocarbon receptor nuclear translocal protein 1(BMAL1): cyclin kaput complex of day-night spontaneous output cyclin kaput(CLOCK). The dexamethasone-induced hepatic insulin resistance(IR) HepG2 cell model was used; 0.5, 1, 5, 10, 20 μmol·L~(-1) berberine were administered at 15, 18, 21, 24, 30, 36 h. The time-dose effect of glucose content in extracellular fluid was detected by glucose oxidase method. The optimal dosage and time of berberine were determined for the follow-up study. Glucose oxidase method and chemiluminescence method were respectively performed to detect hepatic glucose output and relative content of ATP in cells; Ca~(2+), reactive oxygen species(ROS), mitochondrial structure and membrane potential were detected by fluorescent probes. Moreover, ultraviolet colorimetry method was used to detect the liver type of pyruvate kinase(L-PK) and phosphoenol pyruvate carboxykinase(PEPCK). In addition, pyruvate dehydrogenase E1 subunit α1(PDHA1), phosphate fructocrine-liver type(PFKL), forkhead box protein O1(FoxO1), peroxisome proliferator-activated receptor gamma co-activator 1α(PGC1α), glucose-6-phosphatase(G6Pase), glucagon, phosphorylated nuclear factor-red blood cell 2-related factor 2(p-Nrf2)(Ser40), heme oxygenase 1(HO-1), NAD(P)H quinone oxidoreductase 1(NQO1), fibroblast growth factor 21(FGF21), uncoupled protein(UCP) 1 and UCP2 were detected by Western blot. BMAL1:CLOCK complex was detected by immunofluorescence double-staining method, combined with small molecule inhibitor CLK8. Western blot was used to detect PDHA1, PFKL, FoxO1, PGC1α, G6Pase, glucagon, Nrf2, HO-1, NQO1, FGF21, UCP1 and UCP2 in the CLK8 group. The results showed that berberine downregulated the glucose content in extracellular fluid in IR-HepG2 cells in a time-and dose-dependent manner. Moreover, berberine inhibited hepatic glucose output and reduced intracellular Ca~(2+) and ROS whereas elevated JC-1 membrane potential and improved mitochondrial structure to enhance ATP production. In addition, berberine upregulated the rate-limiting enzymes such as PFKL, L-PK and PDHA1 to promote glycolysis and aerobic oxidation but also downregulated PGC1α, FoxO1, G6Pase, PEPCK and glucagon to inhibit hepatic gluconeogenesis. Berberine not only upregulated p-Nrf2(Ser40), HO-1 and NQO1 to enhance antioxidant capacity but also upregulated FGF21, UCP1 and UCP2 to promote energy metabolism. Moreover, berberine increased BMAL1, CLOCK and nuclear BMAL1:CLOCK complex whereas CLK8 reduced the nuclear BMAL1:CLOCK complex. Finally, CLK8 decreased PDHA1, PFKL, Nrf2, HO-1, NQO1, FGF21, UCP1, UCP2 and increased FoxO1, PGC1α, G6Pase and glucagon compared with the 20 μmol·L~(-1) berberine group. BMAL1:CLOCK complex inhibited gluconeogenesis, promoted glycolysis and glucose aerobic oxidation pathways, improved the reduction status within mitochondria, protected mitochondrial structure and function, increased ATP energy storage and promoted energy consumption in IR-HepG2 cells. These results suggested that berberine mediated BMAL1:CLOCK complex to coordinate the regulation of hepatic IR cells to improve energy metabolism in vitro.
Humans ; Berberine/pharmacology* ; Gluconeogenesis/drug effects* ; Hep G2 Cells ; Glucose/metabolism* ; Liver/drug effects* ; Energy Metabolism/drug effects* ; Hypoglycemic Agents/pharmacology* ; ARNTL Transcription Factors/genetics* ; Glycolysis/drug effects* ; Oxidation-Reduction/drug effects*

The effect of Huanglian Jiedu Decoction on the intestinal flora of type 2 diabetes mellitus(T2DM) was investigated using 16S rRNA sequencing technology. Sixty rats were randomly divided into a normal group(10 rats) and a modeling group(50 rats). After one week of adaptive feeding, a high-fat diet + streptozotocin was given for modeling, and fasting blood glucose >16.7 mmol·L~(-1) was considered a sign of successful modeling. The modeling group was randomly divided into the model group, high-, medium-, and low-dose groups of Huanglian Jiedu Decoction, and metformin group. After seven days of intragastric treatment, the feces, colon, and pancreatic tissue of each group of rats were collected, and the pathological changes of the colon and pancreatic tissue of each group were observed by hematoxylin-eosin staining. The changes in the intestinal flora structure of each group were observed by the 16S rRNA sequencing method. The results showed that compared with the model group, the high-, medium-, and low-dose of Huanglian Jiedu Decoction reduced fasting blood glucose levels to different degrees and showed no significant changes in body weight. The number of islet cells increased, and intestinal mucosal damage attenuated. Alpha diversity analysis revealed that Huanglian Jiedu Decoction reduced the abundance and diversity of intestinal flora in rats with T2DM; at the phylum level, low-and mediam-dose of Huanglian Jiedu Decoction reduced the abundance of Bacteroidota, Proteobacteria, and Desulfobacterota and increased the abundance of Firmicute and Bacteroidota/Firmicutes, while the high-dose of Huanglian Jiedu Decoction increased the relative abundance of Proteobacteria and Bacteroidota/Firmicutes ratio, and decreaseal the relative; abundance of Firmicute; at the genus level, Huanglian Jiedu Decoction increased the relative abundance of Allobaculum, Blautia, and Lactobacillus; LEfse analysis revealed that the biomarker of low-and medium-dose groups of Huanglian Jiedu Decoction was Lactobacillus, and the structure of the intestinal flora of the low-dose group of Huanglian Jiedu Decoction was highly similar to that of the metformin group. PICRUSt2 function prediction revealed that Huanglian Jiedu Decoction mainly affected carbohydrate and amino acid metabolic pathways. It suggested that Huanglian Jiedu Decoction could reduce fasting blood glucose and increase the number of islet cells in rats with T2DM, and its mechanism of action may be related to increasing the abundance of short-chain fatty acid-producing strains and Lactobacillus and affecting carbohydrate and amino acid metabolic pathways.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Diabetes Mellitus, Type 2/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Bacteria/drug effects* ; Blood Glucose/metabolism*

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective:To construct and evaluate a training program for health management specialist nurses.Methods:Mainly qualitative analysis, The training system of health management specialist nurses was preliminarily drawn up based on literature review and semi-structured interview. The Delphi expert consultation method was used to conduct a two-round expert letter inquiry with 17 experts in the professions such as health management medicine, health management nursing, nursing management, and nursing education; and the analytic hierarchy process was applied to determine the weights of the indicators.Results:The effective recall rates of the questionnaires for the 2 rounds of expert consultation was 94.44%(17/18) and 100%(17/17), with expert authority coefficients of 0.90 and 0.92 and Kendall harmony coefficients of 0.207 and 0.249, respectively (all P<0.001). The training system of health management specialist nurses included 4 parts: training objective, training content, training management, training assessment and evaluation. There were 8 indicators in the training objective part. There were 5 first-level indicators, 15 second-level and 67 third-level indicators in the training content part. There were 5 first-level indicators, 12 second-level indicators in the training management part. There were 3 first-level indicators, 10 second-level indicators in the training assessment and evaluation part. Conclusion:The training program for specialized nurses in health management developed in this study demonstrates high levels of expert enthusiasm, authority, and consensus, indicating its feasibility.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective:To construct and evaluate a training program for health management specialist nurses.Methods:Mainly qualitative analysis, The training system of health management specialist nurses was preliminarily drawn up based on literature review and semi-structured interview. The Delphi expert consultation method was used to conduct a two-round expert letter inquiry with 17 experts in the professions such as health management medicine, health management nursing, nursing management, and nursing education; and the analytic hierarchy process was applied to determine the weights of the indicators.Results:The effective recall rates of the questionnaires for the 2 rounds of expert consultation was 94.44%(17/18) and 100%(17/17), with expert authority coefficients of 0.90 and 0.92 and Kendall harmony coefficients of 0.207 and 0.249, respectively (all P<0.001). The training system of health management specialist nurses included 4 parts: training objective, training content, training management, training assessment and evaluation. There were 8 indicators in the training objective part. There were 5 first-level indicators, 15 second-level and 67 third-level indicators in the training content part. There were 5 first-level indicators, 12 second-level indicators in the training management part. There were 3 first-level indicators, 10 second-level indicators in the training assessment and evaluation part. Conclusion:The training program for specialized nurses in health management developed in this study demonstrates high levels of expert enthusiasm, authority, and consensus, indicating its feasibility.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To observe the clinical efficacy and safety of secukinumab injection combined with acitretin capsules in the treatment of patients with moderate to severe plaque psoriasis.Methods Patients with moderate to severe plaque psoriasis were randomized into control group and treatment group.The control group received acitretin capsules 30 mg per time,qd,orally,after 4 weeks of maintenance therapy,the dose was reduced to 10-20 mg·d-1 and continued for 12 weeks.On the basis treatment of control group,the treatment group received secukinumab injection 300 mg per time,subcutaneous injection,once a week,after 4 weeks of maintenance treatment,it was adjusted to once every 4 weeks and continued treatment for 12 weeks.The clinical efficacy,serum inflammatory factors,humoral immune indicators and safety were compared between the two groups.Results Fifty-three patients were enrolled in the treatment group,with one dropout,and 52 patients were finally included in the statistical analysis;fifty-two patients were enrolled in the control group,with two dropouts,and 50 patients were finally included in the statistical analysis.After treatment,the total effective rates of treatment and control groups were 80.77％(42 cases/52 cases)and 62.00％(31 cases/50 cases),and the difference was statistically significant(P＜0.05).After treatment,the interleukin(IL)-17 levels of treatment and control groups were(21.06±3.14)and(23.82±3.51)ng·L-1;the IL-23 levels were(97.15±20.21)and(121.17±21.63)ng·L-1;the tumor necrosis factor-α levels were(33.65±5.71)and(37.53±7.64)ng·mL-1;the ratios of neutrophil count to lymphocyte count were 2.04±0.25 and 2.16±0.29;the mmunoglobulin(Ig)A levels were(2.34±0.32)and(2.51±0.38)g·L-1;the IgG levels were(11.51±2.16)and(12.79±2.41)g·L-1;the IgM levels were(1.02±0.26)and(0.91±0.25)g·L-1;the neutrophil counts were(5.19±1.12)× 109 and(4.32±0.94)× 109·L-1;the lymphocyte counts were(2.33±0.34)× 109 and(2.29±0.31)× 109·L-1;the PASI scores were(7.51±2.03)and(11.29±2.65)points;the DLQI scores were(7.04±1.26)and(9.23±2.51)points,respectively.The differences of above indexes were statistically significant between the treatment group and control group(all P＜0.05).The adverse drug reactions of treatment group were dry eyes,elevated transaminase,rhinitis/bronchitis,pruritus and gastrointestinal reactions,while those in control group were dry eyes,elevated transaminases,gastrointestinal reaction and elevated triacylglycerol.The incidences of total drug adverse reactions in the treatment and control groups were 17.31％and 16.00％,without significant difference(P＞0.05).Conclusion The clinical efficacy of secukinumab injection combined with acitretin capsules in the treatment of patients with moderate to severe plaque psoriasis is better than acitretin capsules alone,which can inhibit inflammation,improve immune function,reduce PASI and DLQI scores,without increasing the incidence of adverse drug reactions.

This study aims to investigate the mechanism of berberine in regulating the metabolism network via clock-controlled genes represented by brain and muscle arnt-like 1(BMAL1) to ameliorate insulin resistance(IR) of hepatocytes in vitro. The HepG2 cell model of dexamethasone-induced IR(IR-HepG2) was established and treated with 5, 10, and 20 μmol·L~(-1) berberine, respectively, for 24 h. The glucose oxidase method and cell counting kit-8(CCK-8) assay were employed to measure extracellular glucose concentration and cell viability, respectively. Periodic acid-Schiff(PAS) staining and lipid fluorescence method were used to detect glycogen and lipids. The immunofluorescence(IF) assay was employed to detect the nuclear localization of BMAL1 and circadian locomotor output cycles kaput(CLOCK) in IR-HepG2 cells. Western blot was employed to determine the protein levels of BMAL1, CLOCK, period circadian clock 2(PER2), cryptochrome circadian regulator 1(CRY1), Rev-Erbα, carbohydrate response element-binding protein(ChREBP), peroxisome proliferator-activated receptors alpha and gamma(PPARα/γ), sterol regulatory element-binding protein 1C(SREBP-1C), mammalian target of rapamycin(mTOR), protein kinase B(Akt), glycogen synthase kinase-3β(GSK3β), acetyl coenzyme A carboxylase 1(ACC1), fatty acid synthase(FASN), carnitine palmitoyltransferase 1α(CPT1α), nicotinamide phosphoribosyltransferase(NAMPT), silent information regulator 1(SIRT1), adiponectin(ADPN), insulin receptor substrate 2(IRS2), and phosphatidylinositol 3-kinase regulatory subunit p85(PI3Kp85). In addition, the levels of phosphorylated adenosine monophosphate-activated protein kinase alpha(AMPKα), Akt, GSK3β, BMAL1, and mTOR were determined. Furthermore, 20 μmol·L~(-1) CLK8 was added to measure the glucose consumption as well as the protein levels of ChREBP, PPARα, and mTOR in IR-HepG2 cells. The results showed that berberine increased the glucose consumption, lowered the lipid levels, increased the expression and nuclear localization of BMAL1 and CLOCK, and up-regulated the level of BMAL1 in IR-HepG2 cells. Furthermore, berberine up-regulated the levels of ADPN, IRS2, PI3Kp85, p-Akt(Ser473)/Akt, p-mTOR(Ser2448)/mTOR, PPARα, and CPT1α, and down-regulated the levels of p-GSK3β(Ser9)/GSK3β, ChREBP, SREBP-1C, ACC1, and FASN. The addition of CLK8 reduced glucose consumption in IR-HepG2 cells, up-regulated the ChREBP level, and down-regulated PPARα and mTOR levels by inhibiting the BMAL1 and CLOCK interaction. In summary, berberine regulated glucose and lipid metabolism via clock-controlled genes with BMAL1 at the core to ameliorate IR of hepatocytes.
Humans ; Hepatocytes/drug effects* ; Lipid Metabolism/drug effects* ; Glucose/metabolism* ; Berberine/pharmacology* ; Insulin Resistance ; Hep G2 Cells ; CLOCK Proteins/genetics* ; ARNTL Transcription Factors/genetics*