1.New characteristics of cancer immunotherapy: trends in viral tumor immunotherapy with influenza virus-based approaches.
Shiyao HU ; Yiqi CAI ; Yong SHEN ; Yingkuan SHAO ; Yushen DU ; Yiding CHEN
Journal of Zhejiang University. Science. B 2025;26(6):546-556
Immunomodulatory cancer therapy is witnessing the rise of viral immunotherapy. The oncolytic influenza A virus, although promising in preclinical investigations, remains to be implemented in clinical practice. Recent progress in genetic engineering, coupled with experiential insights, offers opportunities to enhance the therapeutic efficacy of the influenza A virus. This review explores the use of the influenza virus, its attenuated forms, and associated vaccines in cancer immunotherapy, highlighting their respective advantages and challenges. We further elucidate methods for engineering influenza viruses and innovative approaches to augment them with cytokines or immune checkpoint inhibitors, aiming to maximize their clinical impact. Our goal is to provide insights essential for refining influenza A virus-based viral tumor immunotherapies.
Humans
;
Neoplasms/immunology*
;
Immunotherapy/trends*
;
Influenza A virus/immunology*
;
Oncolytic Virotherapy/trends*
;
Animals
;
Cancer Vaccines/therapeutic use*
;
Oncolytic Viruses
;
Genetic Engineering
;
Immune Checkpoint Inhibitors/therapeutic use*
2.Expression of influenza A H1N1 and H3N2 viruses Mosaic-HA1 antigens and evaluation of its immunogenicity in mice.
Fei HAN ; Pengtao JIAO ; Runshan LIN ; Heqiao LI ; Jianing MA ; Hanzhong PEI ; He ZHANG ; Lei SUN ; Tingrong LUO ; Min ZHENG ; Wenhui FAN ; Wenjun LIU
Chinese Journal of Biotechnology 2024;40(11):4042-4056
Vaccination is the most effective measure for reducing and preventing influenza and related complications. In this study, we analyzed the mutation trend and the antigen dominant site changes of the amino acid sequence of hemagglutinin subunit 1 (HA1) of human influenza A virus (IAV) in the northern hemisphere from 2012 to 2022. According to the HA1 sequences of A/Darwin/6/2021 (H3N2) and A/Wisconsin/588/2019 (H1N1) recommended by the World Health Organization in the 2022 influenza season in northern hemisphere, we employed the mosaic algorithm to design three Mosaic-HA1 antigens through stepwise substitution. Mosaic-HA1 was expressed and purified in 293F cells and then mixed with the alum adjuvant at a volume ratio of 1:1. The mixture was used to immunize BALB/c mice, and the immunogenicity was evaluated. Enzyme-linked immunosorbent assay showed that Mosaic-HA1 induced the production of IgG targeting two types of HA1, the specific IgG titers for binding to H3 protein and H1 protein reached 105 and 103 respectively. The challenge test showed that Mosaic-HA1 protected mice from H3N2 or H1N1. This study designs the vaccines by recombination of major antigenic sites in different subtypes of IAV, giving new insights into the development of multivalent subunit vaccines against influenza.
Animals
;
Influenza A Virus, H1N1 Subtype/genetics*
;
Influenza A Virus, H3N2 Subtype/genetics*
;
Mice, Inbred BALB C
;
Mice
;
Influenza Vaccines/genetics*
;
Hemagglutinin Glycoproteins, Influenza Virus/genetics*
;
Humans
;
Antibodies, Viral/blood*
;
Antigens, Viral/genetics*
;
Immunoglobulin G/immunology*
;
Female
;
Orthomyxoviridae Infections/prevention & control*
;
HEK293 Cells
3.From H1N1 to 2019-nCoV, what do we learn?
Gui-E LIU ; Yuan TIAN ; Wen-Jun ZHAO ; Shuang-Ming SONG ; Lei LI
Chinese Journal of Traumatology 2020;23(4):187-189
The COVID-19 pandemic is still raging across the world. Everyday thousands of infected people lost their lives. What is worse, there is no specific medicine and we do not know when the end of the pandemic will come. The nearest global pandemic is the 1918 influenza, which caused about 50 million deaths and partly terminate the World War Ⅰ. We believe that no matter the virus H1N1 for the 1918 influenza or 2019-nCoV for COVID-19, they are essentially the same and the final cause of death is sepsis. The definition and diagnostic/management criteria of sepsis have been modified several times but the mortality rate has not been improved until date. Over decades, researchers focus either on the immunosuppression or on the excessive inflammatory response following trauma or body exposure to harmful stimuli. But the immune response is very complex with various regulating factors involved in, such as neurotransmitter, endocrine hormone, etc. Sepsis is not a kind of disease, instead a misbalance of the body following infection, trauma or other harmful stimulation. Therefore we should re-think sepsis comprehensively with the concept of systemic biology, i.e. inflammationomics.
Betacoronavirus
;
Coronavirus Infections
;
complications
;
epidemiology
;
immunology
;
Humans
;
Immune Tolerance
;
Inflammation
;
complications
;
Influenza A Virus, H1N1 Subtype
;
Influenza, Human
;
complications
;
epidemiology
;
immunology
;
Pandemics
;
Pneumonia, Viral
;
complications
;
epidemiology
;
immunology
;
Sepsis
;
etiology
4.Influenza A virus exposure may cause increased symptom severity and deaths in coronavirus disease 2019.
Zhan-Wei HU ; Xi WANG ; Jian-Ping ZHAO ; Jing MA ; Hai-Chao LI ; Guang-Fa WANG ; Yuan CHENG ; Hong ZHANG
Chinese Medical Journal 2020;133(20):2410-2414
BACKGROUND:
The coronavirus disease 2019 (COVID-19) outbreak occurred during the flu season around the world. This study aimed to analyze the impact of influenza A virus (IAV) exposure on COVID-19.
METHODS:
Seventy COVID-19 patients admitted to the hospital during January and February 2020 in Wuhan, China were included in this retrospective study. Serum tests including respiratory pathogen immunoglobulin M (IgM) and inflammation biomarkers were performed upon admission. Patients were divided into common, severe, and critical types according to disease severity. Symptoms, inflammation indices, disease severity, and fatality rate were compared between anti-IAV IgM-positive and anti-IAV IgM-negative groups. The effects of the empirical use of oseltamivir were also analyzed in both groups. For comparison between groups, t tests and the Mann-Whitney U test were used according to data distribution. The Chi-squared test was used to compare disease severity and fatality between groups.
RESULTS:
Thirty-two (45.71%) of the 70 patients had positive anti-IAV IgM. Compared with the IAV-negative group, the positive group showed significantly higher proportions of female patients (59.38% vs. 34.21%, χ = 4.43, P = 0.035) and patients with fatigue (59.38% vs. 34.21%, χ = 4.43, P = 0.035). The levels of soluble interleukin 2 receptor (median 791.00 vs. 1075.50 IU/mL, Z = -2.70, P = 0.007) and tumor necrosis factor α (median 10.75 vs. 11.50 pg/mL, Z = -2.18, P = 0.029) were significantly lower in the IAV-positive group. Furthermore, this group tended to have a higher proportion of critical patients (31.25% vs. 15.79%, P = 0.066) and a higher fatality rate (21.88% vs. 7.89%, P = 0.169). Notably, in the IAV-positive group, patients who received oseltamivir had a significantly lower fatality rate (0 vs. 36.84%, P = 0.025) compared with those not receiving oseltamivir.
CONCLUSIONS
The study suggests that during the flu season, close attention should be paid to the probability of IAV exposure in COVID-19 patients. Prospective studies with larger sample sizes are needed to clarify whether IAV increases the fatality rate of COVID-19 and to elucidate any benefits of empirical usage of oseltamivir.
Adult
;
Aged
;
Antibodies, Viral/blood*
;
Betacoronavirus
;
COVID-19
;
Coronavirus Infections/mortality*
;
Female
;
Humans
;
Immunoglobulin M/blood*
;
Influenza A virus/immunology*
;
Influenza, Human/complications*
;
Male
;
Middle Aged
;
Pandemics
;
Pneumonia, Viral/mortality*
;
Retrospective Studies
;
SARS-CoV-2
;
Severity of Illness Index
5.TRIM35 mediates protection against influenza infection by activating TRAF3 and degrading viral PB2.
Nan SUN ; Li JIANG ; Miaomiao YE ; Yihan WANG ; Guangwen WANG ; Xiaopeng WAN ; Yuhui ZHAO ; Xia WEN ; Libin LIANG ; Shujie MA ; Liling LIU ; Zhigao BU ; Hualan CHEN ; Chengjun LI
Protein & Cell 2020;11(12):894-914
Tripartite motif (TRIM) family proteins are important effectors of innate immunity against viral infections. Here we identified TRIM35 as a regulator of TRAF3 activation. Deficiency in or inhibition of TRIM35 suppressed the production of type I interferon (IFN) in response to viral infection. Trim35-deficient mice were more susceptible to influenza A virus (IAV) infection than were wild-type mice. TRIM35 promoted the RIG-I-mediated signaling by catalyzing Lys63-linked polyubiquitination of TRAF3 and the subsequent formation of a signaling complex with VISA and TBK1. IAV PB2 polymerase countered the innate antiviral immune response by impeding the Lys63-linked polyubiquitination and activation of TRAF3. TRIM35 mediated Lys48-linked polyubiquitination and proteasomal degradation of IAV PB2, thereby antagonizing its suppression of TRAF3 activation. Our in vitro and in vivo findings thus reveal novel roles of TRIM35, through catalyzing Lys63- or Lys48-linked polyubiquitination, in RIG-I antiviral immunity and mechanism of defense against IAV infection.
A549 Cells
;
Animals
;
Apoptosis Regulatory Proteins/immunology*
;
DEAD Box Protein 58/immunology*
;
Dogs
;
HEK293 Cells
;
Humans
;
Influenza A Virus, H1N1 Subtype/immunology*
;
Madin Darby Canine Kidney Cells
;
Mice
;
Mice, Knockout
;
Orthomyxoviridae Infections/pathology*
;
Proteolysis
;
RAW 264.7 Cells
;
Signal Transduction/immunology*
;
THP-1 Cells
;
TNF Receptor-Associated Factor 3/immunology*
;
Ubiquitination/immunology*
;
Viral Proteins/immunology*
6.Intranasal Immunization Using CTA1-DD as a Mucosal Adjuvant for an Inactivated Influenza Vaccine.
Xue Ting FAN ; Yun Long WANG ; Qiu Dong SU ; Feng QIU ; Yao YI ; Zhi Yuan JIA ; Da Yan WANG ; Kun QIN ; Ye Ning ZOU ; Sheng Li BI ; Li Ping SHEN
Biomedical and Environmental Sciences 2019;32(7):531-540
OBJECTIVE:
To evaluate the effect of intranasal immunization with CTA1-DD as mucosal adjuvant combined with H3N2 split vaccine.
METHODS:
Mice were immunized intranasally with PBS (negative control), or H3N2 split vaccine (3 μg/mouse) alone, or CTA1-DD (5 μg/mouse) alone, or H3N2 split vaccine (3 μg/mouse) plus CTA1-DD (5 μg/mouse). Positive control mice were immunized intramuscularly with H3N2 split vaccine (3 μg/mouse) and alum adjuvant. All the mice were immunized twice, two weeks apart. Then sera and mucosal lavages were collected. The specific HI titers, IgM, IgG, IgA, and IgG subtypes were examined by ELISA. IFN-γ and IL-4 were test by ELISpot. In addition, two weeks after the last immunization, surivival after H3N2 virus lethal challenge was measured.
RESULTS:
H3N2 split vaccine formulated with CTA1-DD could elicit higher IgM, IgG and hemagglutination inhibition titers in sera. Furthermore, using CTA1-DD as adjuvant significantly improved mucosal secretory IgA titers in bronchoalveolar lavages and vaginal lavages. Meanwhile this mucosal adjuvant could enhance Th-1-type responses and induce protective hemagglutination inhibition titers. Notably, the addition of CTA1-DD to split vaccine provided 100% protection against lethal infection by the H3N2 virus.
CONCLUSION
CTA1-DD could promote mucosal, humoral and cell-mediated immune responses, which supports the further development of CTA1-DD as a mucosal adjuvant for mucosal vaccines.
Adjuvants, Immunologic
;
Administration, Intranasal
;
Animals
;
Cholera Toxin
;
Female
;
Immunity, Humoral
;
Influenza A Virus, H3N2 Subtype
;
immunology
;
Influenza Vaccines
;
Mice, Inbred BALB C
;
Nasal Mucosa
;
immunology
;
Random Allocation
;
Recombinant Fusion Proteins
8.Genetic characteristics of hemagglutinin and neuraminidase of avian influenza A (H7N9) virus in Guizhou province, 2014-2017.
Y H WAN ; L ZHUANG ; Q N ZHENG ; L J REN ; L FU ; W J JIANG ; G P TANG ; D Z ZHANG ; S J LI
Chinese Journal of Epidemiology 2018;39(11):1465-1471
Objective: To understand the molecular characteristics of hemagglutinin (HA) and neuraminidase (NA) as well as the disease risk of influenza virus A H7N9 in Guizhou province. Methods: RNAs were extracted and sequenced from HA and NA genes of H7N9 virus strains obtained from 18 cases of human infection with H7N9 virus and 6 environmental swabs in Guizhou province during 2014-2017. Then the variation and the genetic evolution of the virus were analyzed by using a series of bioinformatics software package. Results: Homology analysis of HA and NA genes revealed that 2 strains detected during 2014-2015 shared 98.8%-99.2% and 99.2% similarities with vaccine strains A/Shanghai/2/2013 and A/Anhui/1/2013 recommended by WHO, respectively. Two strains detected in 2016 and 14 strains detected in 2017 shared 98.2%-99.3% and 97.6%-98.8% similarities with vaccine strain A/Hunan/02650/2016, respectively. Other 6 stains detected in 2017 shared 99.1%-99.4% and 98.9%-99.3% similarities with strain A/Guangdong/17SF003/2016, respectively. Phylogenetic analysis showed that all the strains were directly evolved in the Yangtze River Delta evolution branch, but they were derived from different small branch. PEVPKRKRTAR↓GLF was found in 6 of 24 strains cleavage site sequences of HA protein, indicating the characteristic of highly pathogenic avian influenza virus. Mutations A134V, G186V and Q226L at the receptor binding sites were found in the HA. All the strains had a stalk deletion of 5 amino acid residue "QISNT" in NA protein, and drug resistance mutation R294K occurred in strain A/Guizhou-Danzhai/18980/2017. In addition, potential glycosylation motifs mutations NCS42NCT were found in the NA of 9 of 24 strains. Conclusions: HA and NA genes of avian influenza A (H7N9) virus showed genetic divergence in Guizhou province during 2014-2017. The mutations of key sites might enhance the virulence of the virus, human beings are more susceptible to it. Hence, the risk of infection is increasing.
Animals
;
Base Sequence
;
Birds
;
China/epidemiology*
;
Genome, Viral
;
Hemagglutinin Glycoproteins, Influenza Virus/immunology*
;
Hemagglutinins/genetics*
;
Humans
;
Influenza A Virus, H7N9 Subtype/isolation & purification*
;
Influenza in Birds
;
Influenza, Human/virology*
;
Neuraminidase/genetics*
;
Phylogeny
;
RNA, Viral/genetics*
;
Sequence Analysis, DNA
9.Immunogenicity of inacitivated quadrivalent influenza vaccine in adults aged 18-64 years: A systematic review and Meta-analysis.
Z Y MENG ; J Y ZHANG ; Z G ZHANG ; D LUO ; X M YANG
Chinese Journal of Epidemiology 2018;39(12):1636-1641
Objective: To evaluate the immunogenicity of inactivated quadrivalent influenza vaccine (QIV) in adults aged 18-64 years, through a Meta-analysis. Methods: Literature was retrieved by searching the Medline, Cochrane Library, Science Direct in the past decade. All the studies were under random control trial (RCT) and including data related to immunogenicity which involving sero-protection rate (SPR) and sero-conversion rate (SCR) of the QIV, versus inactivated trivalent influenza vaccine (TIV) in the population aged 18 to 64. Revman 5.3 software was employed to manipulate the pooled date of the included literature. Result: A total of 8 studies for the SPR and SCR of the shared strains (two A lineage and one B lineage) were included. There appeared no significant differences in the response rates between the two vaccines. As for QIV versus TIV (B/Yamagata), the pooled RR of the SPR for B/Victoria was 1.28 (95%CI: 1.08-1.51, P<0.05), with the pooled RR of the SCR for B/Victoria as 1.94 (95%CI: 1.50-2.50, P<0.05). For QIV versus TIV (B/Victoria), the pooled RR of the SPR for B/Yamagata as 1.10 (95%CI: 1.02-1.18, P<0.05), and the pooled RR of SCR for B/Yamagata as 1.99 (95%CI: 1.34-2.97, P<0.05). Conclusion: In the population aged 18-64 years, inactivated QIV was equivalently immunogenic against the shared three strains included in the activated TIV while a superior immunogenic effect was noticed in the vaccine strain which did not include the inactivated QIV.
Adolescent
;
Adult
;
Antibodies, Viral/blood*
;
Drug-Related Side Effects and Adverse Reactions
;
Hemagglutination Inhibition Tests
;
Humans
;
Influenza A virus/immunology*
;
Influenza B virus/immunology*
;
Influenza Vaccines/immunology*
;
Influenza, Human/prevention & control*
;
Middle Aged
;
Vaccines, Inactivated/immunology*
;
Young Adult
10.A preliminary study on the disappearance time of influenza virus antigen.
Hao-Feng CHEN ; Li-Li ZHANG ; Yi-Bing FANG ; Min CHEN ; Chun GUO ; Hong-Ling YI ; Mei-Ting TAO ; Yan LI ; Chu-Feng DAI
Chinese Journal of Contemporary Pediatrics 2017;19(5):564-566
OBJECTIVETo investigate the antigen clearance time, time to symptom disappearance, and the association between them using immunofluorescence assay for dynamic monitoring of influenza virus antigen in children with influenza.
METHODSA total of 1 063 children suspected of influenza who visited the Hunan People's Hospital from March to April, 2016 were enrolled. The influenza A/B virus antigen detection kit (immunofluorescence assay) was used for influenza virus antigen detection. The children with positive results were given oseltamivir as the antiviral therapy and were asked to re-examine influenza virus antigen at 5, 5-7, and 7 days after onset.
RESULTSOf all children suspected of influenza, 560 (52.68%) had an influenza virus infection. A total of 215 children with influenza virus infection were followed up. The clearance rate of influenza virus antigen was 9.8% (21 cases) within 5 days after onset. The cumulative clearance rate of influenza virus antigen was 32.1% (69 cases) within 5-7 days, and 98.1% (211 cases) within 7-10 days after onset. Among these children, 6 children (2.8%) achieved the improvement in clinical symptoms within 3 days after onset. The cumulative rate of symptom improvement was 84.7% (182 cases) within 3-5 days after onset, and 100% achieved the improvement after 5 days of onset.
CONCLUSIONSThe time to improvement in symptoms after treatment is earlier than antigen clearance time. Almost all of the children achieve influenza virus antigen clearance 7-10 days after onset. Therefore, it is relatively safe for children to go back to school within 7-10 days after onset when symptoms disappear.
Antigens, Viral ; blood ; Child ; Child, Preschool ; Female ; Fluorescent Antibody Technique ; Humans ; Infant ; Influenza A virus ; immunology ; Influenza B virus ; immunology ; Male ; Time Factors

Result Analysis
Print
Save
E-mail