Worldwide sales of biologic drugs exceeded 100 billion USD in 2011. About 32% is from therapeutic monoclonal antibody (mAb). With many blockbuster biopharmaceutical patents expiring over the next decade, there is a great opportunity for biosimilar to enter the worldwide especially emerging market. Both European Medicines Agency (EMA) and Food and Drug Administration (FDA) have introduced regulatory frameworks for the potential approval of biosimilar mAb therapeutics. Rather than providing a highly abbreviated path, as in the case for small molecule chemical drug, approval for biosimilar mAb will require clinical trial and the details will be very much on a case-by-case basis. Since mAb is the dominant category of biologic drugs, mAb will be the focus of this review. First, the United States (US) and European Union (EU) approved mAb and those in phase 3 trials will be reviewed, then strategies on how to win biosimilar competition will be reviewed.

To investigate the effect of recombinant human growth hormone (rhGH) on JAK2-STAT3 pathway and the growth of gastric cancer cell lines at different GHR expression status, the eukaryotic expression vector targeting human GHR (pGPU6/GFP/Neo-shGHR and pGPU6/GFP/Neo-scramble) was constructed and transfected into MGC803 cells by Lipofectamine 2000. Stable expressive cell lines were obtained by G418 screening. The expression of GHR was analyzed by Western blotting. After being stimulated with rhGH, cell growth was detected by MTT assay. Cell cycle and apoptosis were examined by flow cytometry. The components of JAK2/STAT3 signaling pathway were detected by Western blotting. There is no significant difference of GHR expression between MGC803 and pGPU6/GFP/Neo-scramble-transfected cells (named as MGC803-NC) (P > 0.05). Compared with MGC803, the GHR expression in pGPU6/GFP/Neo-shGHR-transfected cells (named as MGC803-shGHR) decreased significantly (protein decreased 50%). The cells were treated with rhGH at 0, 150 and 300 ng x mL(-1), the growth rate of MGC803 and MGC803-NC increased significantly, PI and the number of G2/M phase cells all increased significantly, and apoptosis decreased significantly. Western blotting revealed that the expression of pJAK2 and pSTAT3 was up-regulated after being treated with rhGH in MGC803 and MGC803-NC cells. In contrast, similar change was not observed in MGC803-shGHR cells. Knockdown of GHR gene may decrease the sensitivity of gastric cancer cells to rhGH, and down-regulating of components of the expression of JAK2/STAT3 signaling pathway may be the potential mechanisms.

Objective To evaluate the relationship and screening value of percentage of body fat (BF%) and waist height ratio (WHtR) for hyperlipidemia in physical examination people. Methods A total of 2 668 objects taking physical examination in Henan Province People′s Hospital from September to December 2014 were included in this study. Values of height, body mass index (BMI), waist circumference, body composition and blood lipid level were detected. The receiver oper?ating characteristic curve (ROC) was used to analyze the screening rate of WHtR and BF%on hyperlipidemia with sensitivi?ty, specific and area under the curve (AUC). After stratified by age, waist circumference and BMI, multivariable logistic re?gression analysis was used to investigate the association between hyperlipidemia risk, BF% and WHtR. Results The screening accuracy rate on hyperlipidemia was higher for BF%, AUC was 0.79 in both female and male people. Among wom?en with BMI<18.5 kg/m2 and 18.5~<24 kg/m2, the risk of hyperlipidemia was higher in superfatted group than that of normal group. There was no correlation between WHtR and hyperlipidemia. Among men older than 40 y or with abnormal waist cir?cumference (≥85 cm), the risk of hyperlipidemia was higher in superfatted group than that of normal group, but not associat?ed with WHtR. Conclusion The BF%is a better screening indicator for hyperlipidemia compared with that of WHtR and BMI. Women with BMI<18.5 kg/m2 and 18.5~<24 kg/m2 and men older than 40 y or with waist circumference over 85 cm are suggested to do body composition tests to improve screening accuracy for hyperlipidemia.

A recombinant plasmid pET28a-HBcAg-delta n was constructed, in which three mimic B-epitopes of HER family were inserted into the truncated HBc vector. The fusion protein expressed was purified and used to immunize BALB/c mice to induce antibody against the epitopes. Three mimic epitope genes were inserted into the sequences of amino acid residues 78 and 79 of HBcAg by overlap PCR. The PCR product was then cloned into pET28a to construct recombinant expression plasmid which was transformed to E. coli BL21 (DE3) and induced by IPTG. After purification, the fused protein designed HBHE was used to immunize BALB/c mice to detect humoral immunoresponse. The recombinant plasmid was successfully constructed by DNA sequencing analysis. A fusion protein with correct molecular mass was expressed and confirmed by SDS-PAGE. High titre antibody was elicited in the mice immunized with HBHE by indirect ELISA and Western blotting. The HBc particle vector containing three B-epitopes of HER family had been successfully prepared, purified and high titre antibody against HBHE was detected. All these data are helpful in further research of the broad-spectrum anti-tumour effect of combine polypeptide epi-position vaccine of EGFR and HER2.

OBJECTIVETo study luteolin-induced non-small cell lung cancer cell line A549 apoptosis and the molecular mechanism for inhibiting its cycle arrest (G2 stage).

METHODMTT assay showed that luteolin had obvious inhibitory effect on A549 and indicated the half inhibition ratio (IC50). Cell cycle and apoptosis were detected by Hoechst 33258 nuclear staining assay, Annexin V-FITC/PI double staining and flow cytometry. Western blotting assay revealed changes in cycle and apoptosis-related proteins induced by luteolin. Possible molecular mechanism was suggested by Western blotting and immunocytochemistry.

RESULTLuteolin had an obvious growth inhibitory effect on A549 cells, with IC50 of 45.2 micromol x L(-1) at 48 h. Flow cytometry showed A549 cells mainly arrested in G2 stage after being treated by luteolin, with low expressions in cyclin A, p-CDC2 and p-Rb. Hoechst 33258 nuclear staining and Annexin V-FITC/PI double staining showed that the luteolin treatment group showed a significant apoptosis rate than the non-treatment group. Western blotting found luteolin can increase phosphorylation of JNK and decrease that of NF-kappaKB (p65). Immunocytochemistry results revealed luteolin can inhibit TNF-alpha-stimulated p65 from nuclear translocation as a transcription factor and thus promoting cell apoptosis.

CONCLUSIONLuteolin can obviously induce apoptosis of human non-small cell lung cancer cell A549 possibly by increasing phosphorylation of JNK to activate mitochondria apoptosis pathway, while inhibiting NF-kappaB from nuclear translocation as a transcription factor.

Annexin A5 ; metabolism ; Apoptosis ; drug effects ; Blotting, Western ; Carcinoma, Non-Small-Cell Lung ; metabolism ; Cell Cycle ; drug effects ; Cell Line, Tumor ; Humans ; Luteolin ; pharmacology ; NF-kappa B ; metabolism

Objective:To investigate the value of the modified ROX (mROX) index in predicting the outcome of patients with acute respiratory distress syndrome (ARDS) due to SARS-CoV-2 infection treated with high-flow nasal cannula oxygen therapy (HFNC).Methods:A retrospective observational study was conducted, including 57 patients with ARDS caused by SARS-CoV-2 infection who required HFNC treatment in the intensive care unit (ICU) of the Lanzhou University Second Hospital from December 2022 to June 2023. The patients were divided into HFNC failure group and HFNC success group according to whether they were successfully weaned from HFNC. Laboratory tests, acute physiology and chronic health evaluationⅡ(APACHEⅡ), and sequential organ failure assessment (SOFA) in the first 24 hours of ICU admission were recorded in both groups, vital signs and arterial blood gas analysis immediately and after 6 hours of HFNC treatment, treatment regimen, length of ICU stay, and total length of hospital stay were recorded in both groups, and patients' outcomes at 28 days and 90 days were followed up by telephone. Univariate analysis was used to analyze the above indexes, and the significant indexes were included in the binary multivariate Logistic regression analysis to analyze the influencing factors of HFNC failure in patients. Kaplan-Meier survival curves were plotted to analyze the 28-day and 90-day outcomes of patients in both groups. Receiver operator characteristic curve (ROC curve) was plotted to analyze the value of treatment 6-hour mROX index and 6-hour ROX index in predicting the success of HFNC.Results:A total of 57 patients with ARDS due to SARS-CoV-2 infection were enrolled, including 34 patients in the HFNC success group and 23 patients in the HFNC failure group. Procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6), lactic acid (Lac) and the proportion of vasopressors, the proportion of continuous renal replacement therapy (CRRT), the APACHEⅡscore and the SOFA score, the respiratory rate (RR) immediately and 6 hours after treatment were significantly higher in the HFNC failure group compared with the HFNC success group. The length of ICU stay was significantly longer, and oxygenation index (PaO 2/FiO 2) at the time of treatment, and pulse oxygen saturation (SpO 2), arterial partial pressure of oxygen (PaO 2), ROX index, and mROX index at the time of treatment and at 6 hours after treatment were significantly lower in the HFNC failure group compared with the HFNC success group (all P < 0.05). Kaplan-Meier survival curves showed that the 28-day cumulative survival rates (100% vs. 26.1%) and 90-day cumulative survival rates (85.3% vs. 21.7%) of patients in the HFNC success group were significantly higher than those in the HFNC failure group (both P < 0.001). On binary multivariate Logistic regression analysis, Lac [odds ratio ( OR) = 0.129, 95% confidence interval (95% CI) was 0.020-0.824], SOFA score ( OR = 0.382, 95% CI was 0.158-0.925), 6-hour ROX index ( OR = 0.099, 95% CI was 0.011-0.920), and 6-hour mROX index ( OR = 23.703, 95% CI was 1.415-396.947) were associated with HFNC treatment outcome (all P < 0.05). ROC curve analysis showed that the area under the ROC curve (AUC) of the 6-hour mROX index and the 6-hour ROX index for predicting the success of HFNC were both higher (0.809 and 0.714, respectively), and the AUC of 6-hour mROX index was significantly higher than that of 6-hour ROX index ( P < 0.01), and the sensitivity was 88.2% and the specificity was 52.2% when the cut-off value of 6-hour mROX index was 4.5. Conclusion:The predictive value of the 6-hour mROX index in the treatment of patients with ARDS caused by SARS-CoV-2 infection is higher than that of the 6-hour ROX index, and the 6-hour mROX index is greater than 4.5, which is more likely to predict the success of HFNC treatment.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.