ORIGINAL RESEARCH article

Front. Immunol., 06 September 2023

Sec. Vaccines and Molecular Therapeutics

Volume 14 - 2023 | https://doi.org/10.3389/fimmu.2023.1244373

Study of efficacy and antibody duration to fourth-dose booster of Ad5-nCoV or inactivated SARS-CoV-2 vaccine in Chinese adults: a prospective cohort study

  • 1. Department of Immunization Program, Xihu District Center for Disease Control and Prevention, Hangzhou, China

  • 2. Department of Vaccine, Clinical Trials, CanSino Biologics, Tianjin, China

  • 3. School of Public Health, Hangzhou Medical College, Hangzhou, China

  • 4. Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China

  • 5. Key Lab of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China

Abstract

Introduction:

China experienced a record surge of coronavirus disease 2019 cases in December 2022, during the pandemic.

Methods:

We conducted a randomized, parallel-controlled prospective cohort study to evaluate efficacy and antibody duration after a fourth-dose booster with Ad5-nCoV or inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine.

Results:

A total of 191 participants aged ≥18 years who had completed a three-dose regimen of the inactivated SARS-CoV-2 vaccine 6 months earlier were recruited to receive the intramuscular Ad5-nCoV booster or the inactivated SARS-CoV-2 vaccine. The Ad5-nCoV group had significantly higher antibody levels compared with the inactivated vaccine group at 6 months after the fourth vaccination dose. After the pandemic, the breakthrough infection rate for the Ad5-nCoV and the inactivated vaccine groups was 77.89% and 78.13%, respectively. Survival curve analysis (p = 0.872) and multivariable logistic regression analysis (p = 0.956) showed no statistically significant differences in breakthrough infection between the two groups.

Discussion:

Compared with a homologous fourth dose, a heterologous fourth dose of Ad5-nCoV elicited a higher immunogenic response in healthy adults who had been immunized with three doses of inactivated vaccine. Nevertheless, the efficacy of the two vaccine types was equivalent after the pandemic.

1 Introduction

On 30 January 2020, the World Health Organization declared that the coronavirus disease 2019 (COVID-19) outbreak constituted a public health emergency of international concern (1). To date, 768.0 million confirmed cases and 6.9 million deaths have been recorded globally (2). Despite the administration of 13.39 billion vaccine doses (2), the COVID-19 epidemic has not yet resolved. On 27 January 2023, the World Health Organization determined that the ongoing COVID-19 pandemic continued to constitute a public health emergency of international concern (3). Emerging variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that are capable of escaping an immune attack have reduced the protection conferred by vaccines (47). In addition, the effectiveness of the vaccine, which included a two-dose regimen and a booster (third dose) vaccine, has declined over time (811).

Studies in Canada, Singapore, and other countries have shown that a second booster immunization provides additional protection against COVID-19 and reduces severe illness and death (1216). More than 71.7% of the Chinese population has been immunized with three doses of inactivated SARS-CoV-2 vaccine (17). Previous studies in China have shown that the efficacy of the first booster dose of Ad5-nCoV (heterologous booster) is superior to that of inactivated vaccine (homologous booster) (18, 19). Furthermore, a heterologous fourth dose with either aerosolized Ad5-nCoV or intramuscular Ad5-nCoV was safe and highly immunogenic in healthy adults who were previously immunized with three doses of the CoronaVac vaccine within 28 days (20). However, antibody levels following a fourth dose of Ad5-nCoV at 6 months after vaccination with three doses of inactivated SARS-CoV-2 vaccine have not yet been assessed.

On 7 December 2022, the Chinese government issued the “New ten measures” as an adjustment to its “Twenty measures” COVID-19 prevention and control policy released on 11 November 2022 (21). As a result, the COVID-19 epidemic in China changed dramatically. On 1 February 2023, the Chinese Center for Disease Control and Prevention reported an overall infection rate of 87.54% based on data reported between 9 December 2022 and 30 January 2023 (22, 23). In this context, assessing the real-world breakthrough infection rate after the fourth dose of immunization with Ad5-nCoV or inactivated SARS-CoV-2 vaccine is important.

This parallel-controlled prospective cohort study aimed to investigate antibody levels and breakthrough infection after a fourth immunization dose of Ad5-nCoV or inactivated SARS-CoV-2 vaccine.

2 Materials and methods

2.1 Study design and participants

A single-center, randomized, parallel-controlled prospective cohort study of a second booster dose (or fourth vaccine dose) with a heterologous booster (Ad5-nCoV) or a homologous booster (inactivated SARS-CoV-2 vaccine) was conducted in Xihu District, Hangzhou City, Zhejiang Province, China. Participants aged ≥18 years with stable medical conditions who had completed a three-dose regime of the inactivated SARS-CoV-2 vaccine (CoronaVac or Covilo) 6 months earlier were recruited from the community.

A screening visit before the participants were enrolled allowed exclusion of the following conditions: history of infection with SARS-CoV-2; pregnant or lactating; use of immunosuppressives; fever; history of severe anaphylaxis to vaccines; severe and/or uncontrolled respiratory disease and cardiovascular disease; hypertension (systolic pressure ≥ 180 mmHg/diastolic pressure ≥ 110 mmHg); diabetes; neurologic illness; and other underlying diseases that could interfere with the evaluation of the primary study endpoints. Previous SARS-CoV-2 infection history was confirmed with participant recall and by checking participants’ recent medical visits.

The Research Ethics Committee of the Zhejiang Provincial Center of Disease Control and Prevention reviewed and approved the study protocol. The informed consent form was signed by all participants before enrolment.

2.2 Procedures

In May 2022, 200 eligible participants were randomly assigned to receive one dose of Ad5-nCoV (Convidecia, 0.5 mL of 5 × 1010) viral particles) or inactivated vaccine (CoronaVac or Covilo, 0.5 mL) via intramuscular injection. Randomization was conducted using a sealed envelope system in which the number associated with each vaccine group was displayed at a 1:1 ratio. The type of inactivated vaccine administered as the fourth dose was matched to the vaccine type each participant had already received as a first booster dose (or third dose).

Blood samples were collected from each participant at baseline, before participants received the fourth dose of vaccination and again 6 months later, in December 2022. A commercial anti–SARS-CoV-2 RBD IgG ELISA kit (Vazyme Medical Technology, Nanjing, China) was used to measure the wild-type SARS-CoV-2 Receptor Binding Domain (RBD)-specific IgG response. The Reed–Muench method was also used to assess the levels of neutralizing antibody against the Omicron BA.4/5 subvariant using a pseudovirus-neutralization test, which consisted of a vesicular stomatitis virus pseudovirus system that expresses the spike glycoprotein (50% neutralization titer).

In March 2023, after the pandemic and approximately 10 months after the fourth vaccination dose, the participants were followed up by telephone to collect information on breakthrough infection with SARS-CoV-2.

2.3 Statistical analysis

The level of antibodies was presented as the geometric mean titer (GMT) and geometric mean fold increase (GMFI). The 95% confidence interval (CI) was calculated on the basis of the t-distribution of the log-transformed values back-transformed to the original scale. The Student’s t-test, Chi-squared test, or Fisher’s exact test was applied to analyze categorical data. A Cox model was used to estimate the cumulative probability of breakthrough infection. A multivariable logistic regression analysis was performed to test the adjusted association between the main independent variable, which was defined as the type (inactivated vaccine or Ad5-nCoV) of the fourth-dose vaccine, and 1) the seropositivity rates of anti-RBD IgG and neutralizing antibodies against the BA.4/5 pseudovirus and 2) the risk of breakthrough infection with SARS-CoV-2. P-values of less than 0.05 were considered statistically significant. All statistical analyses were conducted using SPSS Statistics (IBM Corporation, Armonk, NY, USA) and GraphPad Prism 9 (San Diego, CA, USA).

3 Results

3.1 Study participants

In total, 211 volunteers aged ≥18 years who had received three doses of inactivated vaccine (CoronaVac or Covilo) ≥6 months earlier were recruited and screened for eligibility in May 2022. A total of 201 participants were sequentially enrolled and randomly assigned to two groups. One participant withdrew voluntarily after randomization. In total, 200 participants received a fourth dose of Convidecia (treatment group, heterologous booster dose, n = 100) or CoronaVac/Covilo (control group, homologous booster dose, n = 100). Finally, 95 (treatment group) and 96 (control group) participants completed both the follow-up at 6 months after vaccination and the telephone follow-up in March 2023, after the pandemic (Figure 1).

Figure 1

Among the 191 participants who ultimately completed the follow-up, 87 (45.55%) were female and 56 (29.32%) had underlying chronic diseases. The mean patient age was 50.52 (standard deviation, 15.37) years. The mean time interval since the last booter dose of inactivated vaccine was 6.13 (standard deviation, 0.04) months. The baseline characteristics of the two vaccine groups were comparable (Table 1).

Table 1

VariableInactivated vaccine (n = 96)Ad5-nCoV (n = 95)p
Gender
 Male54 (56.25)50 (52.63)0.616
 Female42 (43.75)45 (47.37)
Age, years
 18–5956 (58.33)56 (58.95)0.931
 ≥6040 (41.67)39 (41.05)
Mean age (SD)50.43 (15.77)50.62 (15.05)0.903b
BMI (kg/m2)
 <18.51 (1.04)4 (4.21)0.698a
 18.5–23.954 (56.25)45 (47.43)
 24.0–27.930 (31.25)33 (34.74)
 ≥28.011 (11.46)13 (13.68)
Exercise
 ≥3 h per week62 (64.58)68 (71.58)0.300
 <3 h per week34 (35.42)27 (28.42)
Sleep
 Regular74 (77.08)69 (72.63)0.478
 Have insomnia22 (22.92)26 (27.37)
Underlying chronic diseases
 Yes25 (26.04)31 (32.63)0.317
 No71 (73.96)64 (67.37)
Vaccination history
Influenza
 Yes40 (41.67)45 (47.37)0.428
 No56 (58.33)50 (52.63)
Mumps
 Yes2 (2.08)3 (3.16)0.683a
 No94 (97.92)92 (96.84)
Rabies
 Yes15 (15.63)21 (22.11)0.252
 No81 (84.38)74 (77.08)
Time interval since the last priming dose of inactivated vaccine, months
Mean (SD)6.13 (0.04)6.13 (0.05)0.994b

Comparison of baseline characteristics between the two vaccine groups.

Influenza vaccination history within 1 year before the second booster dose of Ad5-nCoV or inactivated SARS-CoV-2 vaccine was collected; mumps and rabies vaccination history were collect without time limitation. Data are number of participants (%), mean (SD), or median (IQR). Underlying chronic diseases included cardiovascular and cerebrovascular diseases, hypertension, and chronic obstructive pulmonary disease. The comparison was analyzed using the Chi-squared test unless marked as aFisher’s exact test or bStudent’s t-test. SD, standard deviation; IQR, interquartile range.

3.2 Immunogenicity assessment

3.2.1 SARS-CoV-2 antibody levels in the two vaccine groups

At enrollment and before receiving the second vaccine booster, the average GMT of anti-RBD IgG in the 191 participants was 61.78, and the GMT of neutralizing antibodies against the BA.4/5 pseudovirus was 31.68. No statistical difference was observed in the baseline antibody levels between the inactivated vaccine group and the Ad5-nCoV group (Figure 2).

Figure 2

Six months after the fourth vaccination dose, anti-RBD IgG GMTs were significantly higher in the Ad5-nCoV group (344.22; 95% CI, 266.65–444.35) than in the inactivated vaccine group (77.10; 95% CI, 58.24–102.05; p < 0.001). Similarly, the GMFI was higher for the Ad5-nCoV group (1.53) than that for the inactivated vaccine group (1.13; p < 0.001). GMTs for the neutralizing antibodies against the BA.4/5 pseudovirus were 55.26 (95% CI, 45.52–67.08) and 20.03(95% CI, 17.23–23.28) for the treatment and control groups, respectively (p < 0.001), and the GMFIs were 1.19 and 0.86 for the treatment and control groups, respectively (p < 0.001; Supplementary Table 1; Figure 2).

Compared with the baseline antibody levels before the fourth vaccination dose, no significant difference in the GMT of anti-RBD IgG was observed at 6 months after the fourth-dose vaccination in the inactivated vaccine group (p = 0.212); however, the GMT of neutralizing antibodies against the BA.4/5 pseudovirus was lower versus baseline (p < 0.001). In contrast, significantly higher GMTs of anti-RBD IgG (p < 0.001) and neutralizing antibodies against the BA.4/5 pseudovirus (p < 0.001) were observed compared with pre-immunization levels in the Ad5-nCoV group (Figure 2).

3.2.2 Factors influencing antibody duration

Compared with their younger peers, participants ≥60 years had significantly lower GMTs of anti-RBD IgG (p = 0.001) and neutralizing antibodies against the BA.4/5 pseudovirus (p = 0.015) in the inactivated vaccine group and lower GMTs of neutralizing antibodies against the BA.4/5 pseudovirus (p = 0.018) in the Ad5-nCoV group (Table 2; Figure 2). In the inactivated vaccine group, persons with underlying chronic diseases had lower GMTs of anti-RBD IgG (p = 0.033) compared with those without diseases (Table 2).

Table 2

VariableAnti–RBD-IgGNeutralizing antibodies to pseudovirus (BA.4/5)
Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)
GMTpGMTpGMTpGMTp
Gender0.3930.7140.0550.177
 Male65.14 (44.06, 96.30)329.04 (229.41, 471.93)17.62 (14.68, 21.16)51.04 (38.6, 67.48)
 Female95.75 (63.77, 143.77)361.91 (248.73, 526.58)23.62 (18.37, 30.36)60.36 (45.81, 79.54)
Age, years0.001*0.30070.015*0.018*
 18–59101.98 (70.11, 148.33)384.35 (270.62, 545.88)23.37 (18.84, 28.98)72.23 (57.08, 91.42)
 ≥6052.11 (34.62, 78.46)293.81 (201.36, 428.70)16.14 (13.35, 19.52)37.62 (27.84, 50.83)
BMI (kg/m2)0.079a0.443a0.356a0.833a
 <18.589.13 (89.13, 89.13)467.65 (81.42, 2686.15)10.00 (10.00, 10.00)95.52 (63.3, 144.15)
 18.5–23.983.59 (56.59, 123.47)344.66 (239.29, 496.44)22.09 (17.62, 27.69)60.94 (47.67, 77.90)
 24.0–27.975.24 (43.22, 130.98)279.14 (179.64, 433.76)17.01 (13.54, 21.38)40.26 (28.38, 57.10)
 ≥28.054.62 (29.82, 100.06)530.86 (220.22, 1279.64)20.60 (13.86, 30.63)74.36 (35.24, 156.91)
Exercise0.0810.3250.0800.150
 ≥3 h per week66.28 (48.06, 91.42)372.99 (281.99, 493.36)18.15 (15.31, 21.52)49.63 (39.60, 62.22)
 <3 h per week101.55 (58.95, 174.95)281.21 (156.81, 504.31)23.96 (17.86, 32.16)72.43 (49.55, 105.87)
Sleep0.2350.2920.9220.779
 Regular75.43 (55.76, 102.04)316.60 (228.96, 437.79)19.95 (17.08, 23.30)51.45 (40.62, 65.17)
 Have insomnia82.96 (39.78, 172.99)429.76 (293.86, 628.51)20.31 (13.23, 31.17)66.79 (47.42, 94.08)
Underlying chronic diseases<0.001*0.1900.3940.930
 Yes33.55 (23.91, 47.06)270.00 (178.08, 409.37)17.95 (13.83, 23.30)75.49 (46.52, 122.51)
 No70.37 (56.58, 87.53)387.19 (279.88, 535.63)20.82 (17.31, 25.03)77.67 (54.99, 109.70)
Vaccination history
Influenza0.4150.8510.8480.845
 Yes67.21 (44.78, 100.88)353.18 (244.76, 509.62)19.68 (15.83, 24.48)56.39 (42.56, 74.72)
 No85.03 (57.46, 125.84)336.35 (232.84, 485.88)20.28 (16.41, 25.05)54.26 (41.14, 71.56)
Mumps0.3780.2310.8060.332
 Yes30.00 (30.00, 30.00)810.00 (7.17, 91489.69)17.61 (0.01, 23350.11)89.21 (12.70, 626.50)
 No78.66 (59.15, 104.61)334.74 (259.35, 432.05)20.08 (17.24, 23.40)54.40 (44.63, 66.31)
Rabies0.1200.9390.4290.676
 Yes67.14 (33.09, 136.23)350.72 (194.48, 632.50)17.41 (12.07, 25.12)41.54 (26.89, 64.19)
 No79.09 (57.92, 108.00)342.39 (256.29, 457.43)20.56 (17.38, 24.31)59.92 (48.19, 74.52)

Associations between participants’ characteristics and antibody GMT.

Data are mean (95% CI). Comparisons were performed using the Student t-test, unless marked as an ANOVA test. *Significant difference (p-value < 0.05). GMT, geometric mean titer.

3.3 Analysis of breakthrough infection

3.3.1 Breakthrough infection in the two vaccine groups

Between 13 December 2022 and 16 January 2023, 66.49% (127/191) of participants developed symptoms and had positive nucleic acid or antigen test results, 9.95% (19/191) of participants developed symptoms and had suspected infection without nucleic acid or antigen test results, 1.57% (3/191) of participants were asymptomatic and had positive nucleic acid or antigen test results, and 21.99% (42/191) were asymptomatic with or without nucleic acid or antigen test results. The breakthrough infection peak occurred between 20 December 2022 and 26 December 2022 counted 47.12% (90/191) during this time (Figure 3). The breakthrough infection rates for the Ad5-nCoV and the inactivated vaccine groups were 77.89% and 78.13%, respectively. Survival curve analysis adjusted for sex, age, chronic diseases, and influenza vaccine history showed no statistically significant difference in breakthrough infection between the two groups (p = 0.872; Figure 4).

Figure 3

Figure 4

In total, 14.14% (27/191) of participants visited outpatient clinics for treatment and 50.26% (96/191) of participants significantly recovered from symptoms within 3 days. However, 1.05% (2/191) of participants (female, inactivated vaccine booster) had symptoms from which they had not significantly recovered more than 2 months after infection. No statistical differences were observed in the incidence of COVID-19 (p = 0.952), medical treatment situation (p = 0.601), or symptom recovery time (p = 0.784) between the two vaccine groups (Table 3). The most common symptom among all the participants was fever (63.35%, 121/191), followed by cough (50.79%, 97/191; Figure 5). Among all participants, 56.54% (108/191) had at least one of the general symptoms of tiredness/fatigue, headache/dizziness, overall aches, or chills; 60.73% (116/191) had at least one of the general symptoms of pharyngodynia, rhinobyon, nasal mucus discharge, cough, or expectoration; and 17.28% (33/191) had at least one of the digestive tract symptoms of change or decrease in taste or smell, diarrhea, nausea, emesis, or stomachache. No statistical difference in symptoms other than fever was observed between the two vaccine groups. The incidence of fever in the Ad5-nCoV group (54.74%) was lower than that in the inactivated vaccine group (71.88%, p = 0.014); the incidence of high fever especially was lower in the treatment (7.37%) versus the control 27.08%) group (p < 0.001; Table 3).

Table 3

VariableInactivated vaccine (n = 96)Ad5-nCoV (n = 95)p
Breakthrough cases0.953a
 Confirmed cases64 (66.67)63 (66.32)
 Suspected cases10 (10.42)9 (9.47)
 Asymptomatic cases1 (1.04)2 (2.11)
 Uninfection#21 (21.88)21 (22.11)
Medical treatment situation0.601
 Asymptomatic22 (22.92)23 (24.21)
 Symptomatic with no need58 (60.42)61 (64.21)
 Symptomatic with ambulatory treatment16 (16.67)11 (11.58)
Symptom recovery time
 Asymptomatic22 (22.92)23 (24.21)0.784a
 <3 days26 (27.08)25 (26.32)
 3–5 days21 (21.88)18 (18.95)
 6–7 days16 (16.67)15 (15.79)
 8–14 days7 (7.29)9 (9.47)
 >14 days2 (2.08)5 (5.26)
 Not yet improved2 (2.08)0 (0.00)
Symptoms
Fever0.001*
 No27 (28.13)43 (45.26)
 Low/medium fever (37.4°C–39°C)43 (44.79)45 (47.37)
 High fever (≥39.1°C)26 (27.08)7 (7.37)
General symptom0.934
 No42 (43.75)41 (43.16)
 Yes54 (56.25)54 (56.84)
Respiratory symptom0.424
 No35 (36.46)40 (42.11)
 Yes61 (63.54)55 (57.89)
Digestive tract symptom0.356
 No77 (80.21)81 (85.26)
 Yes19 (19.79)14 (14.74)

The basic profile and symptoms of breakthrough infection.

The “uninfection#” group contains participants who were asymptomatic and did not undergo nucleic acid or antigen testing or were asymptomatic and had negative nucleic acid or antigen test results. Data are number of participants (%). Comparisons were performed using Chi-squared test, unless marked as aFisher’s exact test. *Significant difference (p-value < 0.05).

Figure 5

3.3.2 Factors influencing breakthrough infection

Participants aged 18–59 years in the inactivated vaccine group were more likely to have digestive tract symptoms compared with who aged ≥60 years (p = 0.011; Table 4). Those who exercised ≥3 h per week in the Ad5-nCoV group and participants with a history of influenza vaccine uptake in the inactivated vaccine group recovered significantly faster than who exercised <3 h per week (p = 0.035 and p = 0.038; Table 5).

Table 4

VariableBreakthrough infectionMedical treatment situationSymptom recovery time
Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)
Infection rate (%)pInfection rate (%)pNeed ambulatory treatment (%)pNeed ambulatory treatment (%)p≥3 days (%)p≥3 days (%)p
Gender0.5550.3351.0000.2050.1000.052
 Male75.9374.0016.6716.6742.5940.00
 Female80.9582.2216.6716.6759.5260.00
Age, years0.9000.4150.7110.516a0.2140.589
 18–5978.5775.0017.8614.2955.3651.79
 ≥6077.5082.0515.007.6942.5046.15
BMI(kg/m2)0.249a0.525a0.826a1.000a0.419a0.317a
 <18.5100.0075.000.000.000.0075.00
 18.5–23.970.3782.2216.6713.3344.4455.56
 24.0–27.986.6769.7020.0012.1260.0045.45
 ≥28.090.9184.629.097.6954.5530.77
Exercise0.7720.5960.3401.000a0.2000.035*
 ≥3 h per week79.0376.4719.3511.7654.8442.65
 <3 h per week76.4781.4811.7611.1141.1866.67
Sleep0.559a0.8890.7570.4860.3310.950
 Regular79.7378.2616.2216.2247.3049.28
 Have insomnia72.7376.9218.1818.1859.0950.00
Underlying chronic diseases0.7650.6531.000a1.000a0.8160.772
 Yes78.8776.5616.9012.5049.3048.44
 No76.0080.6516.009.6852.0051.61
Vaccination history
Influenza0.2600.6390.4590.0730.038*0.125
 Yes72.5080.0020.0017.7837.5057.78
 No82.1476.0014.296.0058.9342.00
Mumps1.000a1.000a0.307a1.000a1.000a0.117a
 Yes100.00100.0050.000.0050.00100.00
 No77.6677.1715.9611.9650.0047.83
Rabies0.775a1.000a0.0610.1600.763
 Yes86.670.510a76.1913.3323.8166.6752.38
 No76.5478.3817.288.1146.9148.65

Associations between participants’ characteristics and the breakthrough infection.

Data are number of participants (%).Comparisons were performed using the Chi-squared test, unless marked as a Fisher’s exact test. *Significant difference (p-value < 0.05). BMI, body mass index.

Table 5

VariableFeverGeneral symptomRespiratory symptomDigestive tract symptom
Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)Inactivated vaccine (n = 96)Ad5-nCov (n = 95)
%p%p%p%p%p%p%p%p
Gender0.0810.0710.0700.0670.8940.1000.8720.428
 Male64.8146.0048.1548.0062.9650.0020.3712.00
 Female80.9564.4466.6766.6764.2966.6719.0517.78
Age, years0.2050.5720.0600.3010.2990.5050.011*0.660
 18–5976.7957.1464.2960.7167.8667.8628.5716.07
 ≥6065.0051.2845.0051.2857.5057.507.5012.82
BMI (kg/m2)0.423a0.781a0.585a0.841a0.100a0.863a0.689a0.557a
 < 18.5100.0050.000.0075.000.0050.000.000.00
 18.5–23.966.6760.0059.2657.7855.5662.2216.6711.11
 24.0–27.973.3348.4850.0051.5276.6754.5523.3318.18
 ≥28.090.9153.8563.6461.5472.7353.8527.2723.08
Exercise0.7890.5770.4200.2230.8610.1210.2240.531a
 ≥3 h per week70.9752.9453.2352.9462.9052.9416.1313.24
 <3 h per week73.5359.2661.7666.6764.7170.3726.4718.52
Sleep0.9190.4140.7600.4090.6210.3640.131a0.751a
 Regular71.6252.1755.4159.4264.8664.8616.2215.94
 Have insomnia72.7361.5459.0950.0059.0959.0931.8211.54
Underlying chronic diseases0.9870.9890.6180.4740.9560.3381.000a0.767a
 Yes71.8354.6957.7559.3863.3860.9419.7214.06
 No72.0054.8452.0051.6164.0051.6120.0016.13
Vaccination history
Influenza0.4200.0710.8350.5550.8580.1000.5740.051
 Yes67.5064.4455.0060.0062.5062.5022.5022.22
 No75.0046.0057.1454.0064.2964.2917.868.00
Mumps1.000a1.000a0.189a0.256a0.130a1.000a1.000a1.000a
 Yes100.0066.670.00100.000.0066.670.000.00
 No71.2854.3557.4555.4364.8957.6120.2115.22
Rabies0.5450.2150.3760.9750.3910.2800.488a0.728a
 Yes80.0042.8666.6757.1473.3347.6226.679.52
 No70.3758.1154.3256.7661.7360.8118.5216.22

Associations between participants’ characteristics and the symptoms of breakthrough cases.

Comparisons were performed using the Chi-squared test unless marked as aFisher’s exact test. *Significant difference (p-value < 0.05).

A multivariable logistic regression analysis was performed to test the adjusted association between the main independent variable, defined as the type (inactivated vaccine or Ad5-nCoV) of the fourth vaccine dose vaccine and 1) the seropositivity rate of anti-RBD IgG and neutralizing antibodies against the BA.4/5 pseudovirus and 2) the risk of breakthrough infection with SARS-CoV-2. The association was tested after adjustment for sex, age, body mass index, exercise, sleep, underlying chronic disease, and influenza vaccination history.

Compared with the participants who received the inactivated vaccine as the fourth dose, the participants who received Ad5-nCoV experienced an increase in the seropositivity rate of anti-RBD IgG [relative risk (RR) = 8.58; 95% CI, 3.53–20.86] and neutralizing antibodies against the BA.4/5 pseudovirus (RR = 24.52; 95% CI, 6.62–90.87) at 6 months after the last vaccination and were at a lower risk of fever caused by SARS-CoV-2 (RR = 0.41; 95% CI, 0.22–0.78). Compared with their male counterparts, female participants were at a higher risk of fever (RR = 2.44; 95% CI, 1.23–4.83) and general symptoms (RR = 2.44; 95% CI, 1.06–3.87) caused by SARS-CoV-2 and at a higher risk of symptom recovery time ≥3 days (RR = 2.45; 95% CI, 1.27–4.70). Compared with participants aged 18–59 years, participants aged ≥60 years had a lower seropositivity rate of neutralizing antibodies against BA.4/5 pseudovirus (RR = 0.18; 95% CI, 0.05–0.64) and were at a lower risk of digestive tract symptoms (RR = 0.29; 95% CI, 0.10–0.85). Compared with participants with a body mass index <24.0 kg/m2, participants with a body mass index ≥24.0 kg/m2 had a higher risk of digestive tract symptoms (RR = 2.82; 95% CI, 1.12–7.14; Table 6).

Table 6

VariableAnti–RBD-IgGNeutralizing antibodies to Pseudovirus (BA.4/5)Breakthrough infectionMedical treatment situationSymptom recovery timeFeverGeneral symptomRespiratory symptomDigestive tract symptom
RRpRRpRRpRRpRRpRRpRRpRRpRRp
Vaccine type (Ad5-nCov vs. Inactivated vaccine)
8.58 (3.53–20.86)<0.001*24.52 (6.62–90.87)<0.001*0.98 (0.49–1.97)0.9560.56 (0.23–1.32)0.1830.90 (0.49–1.62)0.7150.41 (0.22–0.78)0.006*1.01 (0.56–1.84)0.9640.75 (0.41–1.37)0.3460.6 (0.27–1.34)0.211
Gender (Female vs. Male)
1.94 (0.81–4.62)0.1350.94 (0.37–2.40)0.8921.81 (0.83–3.93)0.1351.37 (0.55–3.44)0.5022.45 (1.27–4.70)0.007*2.44 (1.23–4.83)0.011*2.03 (1.06–3.87)0.0321.59 (0.83–3.06)0.1631.45 (0.59–3.55)0.416
Age (≥60 years vs. 18–59 years)
0.66 (0.28–1.54)0.3360.18 (0.05–0.64)0.008*1.28 (0.56–2.93)0.5640.67 (0.25–1.85)0.4440.59 (0.29–1.20)0.1470.66 (0.32–1.38)0.2740.62 (0.31–1.25)0.1790.79 (0.39–1.59)0.5040.29 (0.10–0.85)0.024*
BMI (≥24.0 kg/m2 vs. <24.0 kg/m2)
1.74 (0.73–4.14)0.2080.57 (0.22–1.50)0.2581.52 (0.70–3.30)0.2921.21 (0.47–3.07)0.6931.39 (0.72–2.70)0.3321.51 (0.76–3.01)0.2411.09 (0.57–2.11)0.791.83 (0.93–3.59)0.0782.82 (1.12–7.14)0.028*
Exercise (< 3 h per week vs. ≥3 h per week)
0.74 (0.32–1.75)0.4992.28 (0.88–5.92)0.0901.14 (0.51–2.57)0.7430.46 (0.17–1.28)0.1381.01 (0.51–1.98)0.9760.98 (0.48–2.01)0.9591.38 (0.69–2.74)0.3631.30 (0.65–2.60)0.4661.38 (0.58–3.29)0.471
Sleep (Have insomnia vs. Regular)
1.78 (0.68–4.65)0.2401.15 (0.41–3.22)0.7950.88 (0.38–2.04)0.7681.41 (0.52–3.77)0.4981.41 (0.68–2.92)0.3501.34 (0.61–2.90)0.4650.77 (0.37–1.58)0.4711.12 (0.54–2.34)0.7611.50 (0.59–3.81)0.393
Underlying chronic diseases (Yes vs. No)
1.02 (0.38–2.71)0.9691.37 (0.37–5.08)0.6331.02 (0.40–2.58)0.9660.76 (0.24–2.34)0.6261.86 (0.84–4.12)0.1241.35 (0.6–3.04)0.4741.16 (0.54–2.53)0.7020.88 (0.40–1.93)0.7491.75 (0.58–5.28)0.317
Influenza vaccination history (No vs. Yes)
1.49 (0.67–3.31)0.3261.40 (0.54–3.63)0.4941.20 (0.57–2.52)0.6390.44 (0.18–1.09)0.0761.44 (0.76–2.71)0.2640.91 (0.47–1.77)0.7881.01 (0.54–1.90)0.9730.75 (0.40–1.42)0.3800.65 (0.28–1.52)0.321

Multifactorial analysis of antibody levels and breakthrough infection.

Data are RR (95% confidence interval). Binary logistic regression was used for multifactorial analysis.*Significant difference (p-value < 0.05). RR, relative risk.

4 Discussion

Neutralizing antibodies are reported to act as a correlate of protection against COVID-19; therefore, a boost in these antibodies suggests an induced response associated with vaccine efficacy (24). Previous studies have shown that in individuals previously vaccinated with three doses of inactivated SARS-CoV-2 vaccine, heterologous regimens with intramuscular Ad5-nCoV induced significantly higher titers of neutralizing antibodies against both wild-type SARS-CoV-2 and the BA.4/5 pseudovirus at days 14 and 28 after vaccination than the homologous booster schedule with inactivated virus (20). The findings of our 10-month randomized, parallel-controlled prospective cohort study further indicated that the second heterologous booster with intramuscular Ad5-nCoV induced higher titers and seropositivity rates of anti-RBD IgG and neutralizing antibodies against the BA.4/5 pseudovirus than the second homologous booster with inactivated vaccine at 6 months after vaccination. Similarly, the third dose (first booster) of the heterologous vaccine with Ad5-nCoV induced a higher antibody response than the homologous vaccines (18, 19, 25, 26), indicating that the heterologous booster regimens containing Ad5-nCoV were superior to the homologous schedule with regard to the first and second boosters (third and fourth doses). Similar results have been reported that heterologous boosting resulted in more robust immune responses than homologous boosting with other COVID-19 vaccines such as mRNA-1273 (Moderna), BNT162b2 (Pfizer–BioNTech), AZD1222 (Astra Zeneca), (Ad26.COV2-S, Janssen), and ChAdOx1 nCoV-19 vaccine (AZD1222, AstraZeneca) (2731).

The overall infection rate during the nationwide COVID-19 pandemic that followed the Chinese government’s “New ten measures” policy issued on 7 December 2022 (21) was estimated at 87.54% (22). By following participants who received a fourth-dose vaccination with Ad5-nCoV or the inactivated SARS-CoV-2 vaccine, we observed that 78.01% (149/191) of participants were infected or suspected to be infected with SARS-CoV-2. The breakthrough infection peak occurred between 20 December 2022 and 26 December 2022, consistent with the nationwide peak on 22 December 2022 (23). Furthermore, no differences were observed between the Ad5-nCoV booster group and the inactivated SARS-CoV-2 vaccine booster group in breakthrough infection rate, medical treatment situation, or symptom recovery time. However, to the best of our knowledge, ours was the first study to report that the fourth dose of Ad5-nCoV is associated with a lower incidence SARS-CoV-2–related fever than the inactivated vaccine booster, indicating that the heterologous booster regimen may moderately alleviate some symptoms of infection.

In addition, our study found that compared with male participants, female participants were at an increased risk of fever and general symptoms caused by SARS-CoV-2 and at a greater risk of symptom recovery time ≥3 days, supporting previous findings that the female sex is a risk factor for long COVID-19 (32). Vaccine responses are widely reported to be weaker in older adults, who experience immunosenescence and a more rapid waning of antibodies than younger people (3335). We further observed that participants aged ≥60 years had a lower seropositivity rate of neutralizing antibodies against the BA.4/5 pseudovirus versus participants aged 18–59 years. However, no statistical difference in breakthrough infection was observed between the age groups (18–59 vs. ≥60 years). Higher age and body mass index were associated with an increased risk of digestive tract symptoms in our study. Digestive system involvement may protect patients with mild and moderate symptoms from lymphocyte depletion caused by SARS-CoV-2 (36); however, the relevant mechanism of action remains unclear.

Our study has several limitations. First, only adults with stable medical conditions over 18 years of age were recruited; the inclusion of people who require additional protection against COVID-19 such as immunocompromised individuals may have produced more marked results than those observed. Therefore, the recruitment criteria prevented our results from being representative of the general population. Second, because blank controls (i.e., participants who do not receive a fourth vaccination dose) were not recruited into the study, we could not assess the efficacy of a four-dose immunization regimen against breakthrough infection with SARS-CoV-2. Therefore, the protective effect of the second heterologous booster vaccination regimen remains uncertain. Third, the sample size was too small to investigate the number of potentially severe and fatal cases caused by SARS-CoV-2. A larger sample size would have increased statistical power to allow the identification of influencing factors among subpopulations. Fourth, information on breakthrough infection in the follow-up was based only on participant recall, introducing potential recall bias. Finally, live virus neutralization antibodies against wild-type SARS-CoV-2, Omicron BA.4/5, or other current Omicron subvariants such as BF.7, BQ.1, and XBB that could increase the generalizability of immunogenicity results were not used in our study and must be further explored.

In conclusion, a heterologous fourth dose with Ad5-nCoV caused higher antibody levels than a homologous fourth dose with the inactivated SARS-CoV-2 vaccine at 6 months after the last vaccination and decreased the risk of fever caused by SARS-CoV-2 in healthy adults who had been immunized with three doses of the inactivated vaccine. However, the two vaccine types showed equivalent efficacy after the pandemic. Our findings support the heterologous administration of Ad5-nCoV over the homologous administration of the inactivated SARS-CoV-2 vaccine. Furthermore, next-generation vaccines may be needed to provide better protection against COVID-19 by addressing the immune escape of SARS-CoV-2 variants.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by The Research Ethics Committee of the Zhejiang Provincial Center of Disease Control and Prevention (ethics code number: 2022-021-01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

XH, HL, JJ, LZ, and HZ were the principal investigators who designed the research and coordinated the study; NX, PQ, YY, and RD led and participated in the site work, including the recruitment, follow-up, and data collection; PW and YX supervised the study; HZ was responsible for laboratory analyses; NX and HZ did the statistical analysis and wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Key Research and Development Program of Zhejiang Province (2021C03200), the Key Program of Health Commission of Zhejiang Province/Science Foundation of National Health Commission (WKJ-ZJ-2221), the Major Program of Zhejiang Municipal Natural Science Foundation (LD22H190001), the Explorer Program of Zhejiang Municipal Natural Science Foundation (LQ23H100001), the General Plan for Agricultural and Social Development Research Projects of Hangzhou(20201203B27), and the General Project of Hangzhou Health Science and Technology Plan (B20230116).

Acknowledgments

We would like to thank the local designated hospitals for their help with the field survey.

Conflict of interest

YX and PW are employees of CanSino Biologics and contributed to the conceptualization of the study clinical protocol and electronic case report form design but did not participate in the analysis or interpretation of the data presented in the manuscript.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2023.1244373/full#supplementary-material

References

  • 1

    Statement on the second meeting of the international health regulations (2005) emergency committee regarding the outbreak of novel coronavirus (2019-nCoV). (2020). Available at: https://www.who.int/news/item/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov).

  • 2

  • 3

    Organization WH. Statement on the fourteenth meeting of the international health regulations (2005) emergency committee regarding the coronavirus disease (COVID-19) pandemic. (2023). Available at: https://www.who.int/news/item/30-01-2023-statement-on-the-fourteenth-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-coronavirus-disease-(covid-19)-pandemic.

  • 4

    ArashiroTArimaYMuraokaHSatoAObaKUeharaYet al. Covid-19 vaccine effectiveness against symptomatic sars-Cov-2 infection during delta-dominant and omicron-dominant periods in japan: A multi-center prospective case-control study (Fascinate study). Clin Infect Dis (2022) 76(3):e108–15. doi: 10.1093/cid/ciac635

  • 5

    GramMAEmborgHDScheldeABFriisNUNielsenKFMoustsen-HelmsIRet al. Vaccine effectiveness against sars-Cov-2 infection or covid-19 hospitalization with the alpha, delta, or omicron sars-Cov-2 variant: A nationwide danish cohort study. PloS Med (2022) 19(9):e1003992. doi: 10.1371/journal.pmed.1003992

  • 6

    TsengHFAckersonBKLuoYSyLSTalaricoCATianYet al. Effectiveness of mrna-1273 against sars-Cov-2 omicron and delta variants. Nat Med (2022) 28(5):1063–71. doi: 10.1038/s41591-022-01753-y

  • 7

    AndrewsNStoweJKirsebomFToffaSRickeardTGallagherEet al. Covid-19 vaccine effectiveness against the omicron (B.1.1.529) variant. N Engl J Med (2022) 386(16):1532–46. doi: 10.1056/NEJMoa2119451

  • 8

    FeikinDRHigdonMMAbu-RaddadLJAndrewsNAraosRGoldbergYet al. Duration of effectiveness of vaccines against sars-Cov-2 infection and covid-19 disease: Results of a systematic review and meta-regression. Lancet (2022) 399(10328):924–44. doi: 10.1016/S0140-6736(22)00152-0

  • 9

    RiskMHayekSSSchiopuEYuanLShenCShiXet al. Covid-19 vaccine effectiveness against omicron (B.1.1.529) variant infection and hospitalisation in patients taking immunosuppressive medications: A retrospective cohort study. Lancet Rheumatol (2022) 4(11):e775–e84.

  • 10

    IoannouGNBohnertASBO'HareAMBoykoEJMaciejewskiMLSmithVAet al. Effectiveness of mrna covid-19 vaccine boosters against infection, hospitalization, and death: A target trial emulation in the omicron (B.1.1.529) variant era. Ann Intern Med (2022) 175(12):1693–706. doi: 10.7326/M22-1856

  • 11

    KawasujiHMorinagaYTaniHSagaYKanedaMMuraiYet al. Effectiveness of the third dose of Bnt162b2 vaccine on neutralizing omicron variant in the japanese population. J Infect Chemother (2022) 28(9):1273–8. doi: 10.1016/j.jiac.2022.05.009

  • 12

    GrewalRKitchenSANguyenLBuchanSAWilsonSECostaAPet al. Effectiveness of a fourth dose of covid-19 mrna vaccine against the omicron variant among long term care residents in ontario, canada: Test negative design study. BMJ (2022) 378:e071502. doi: 10.1136/bmj-2022-071502

  • 13

    TanCYChiewCJLeeVJOngBLyeDCTanKB. Effectiveness of a fourth dose of covid-19 mrna vaccine against omicron variant among elderly people in singapore. Ann Intern Med (2022) 175(11):1622–3. doi: 10.7326/M22-2042

  • 14

    IntawongKChariyalertsakSChalomKWonghirundechaTKowatcharakulWAyoodPet al. Heterologous third and fourth dose vaccines reduce severity and mortality in covid-19 patients during the periods of delta and omicron predominance in thailand. Int J Infect Dis (2022) 126:31–8. doi: 10.1016/j.ijid.2022.11.006

  • 15

    KimJSeoHKimHWKimDKwonHJKimYK. Effect of previous covid-19 vaccination on humoral immunity 3 months after sars-Cov-2 omicron infection and booster effect of a fourth covid-19 vaccination 2 months after sars-Cov-2 omicron infection. Viruses (2022) 14(11). doi: 10.3390/v14112458

  • 16

    KislayaIMachadoAMagalhaesSRodriguesAPFrancoRLeitePPet al. Covid-19 mrna vaccine effectiveness (Second and first booster dose) against hospitalisation and death during omicron Ba.5 circulation: Cohort study based on electronic health records, portugal, may to july 2022. Euro Surveill (2022) 27(37):2200697.

  • 17

    New China News Agency. The immunisation coverage with the full primary series of covid-19 vaccines in china is 89.7%. (2022).

  • 18

    LiJXWuSPGuoXLTangRHuangBYChenXQet al. Safety and immunogenicity of heterologous boost immunisation with an orally administered aerosolised Ad5-ncov after two-dose priming with an inactivated sars-Cov-2 vaccine in chinese adults: A randomised, open-label, single-centre trial. Lancet Respir Med (2022) 10(8):739–48. doi: 10.1016/S2213-2600(22)00087-X

  • 19

    ZhangZWuSLiuYLiKFanPSongXet al. Aerosolized Ad5-ncov booster vaccination elicited potent immune response against the sars-Cov-2 omicron variant after inactivated covid-19 vaccine priming. medRxiv (2022), 22271816. doi: 10.1101/2022.03.08.22271816

  • 20

    TangRZhengHWangBSGouJBGuoXLChenXQet al. Safety and immunogenicity of aerosolised Ad5-ncov, intramuscular Ad5-ncov, or inactivated covid-19 vaccine coronavac given as the second booster following three doses of coronavac: A multicentre, open-label, phase 4, randomised trial. Lancet Respir Med (2023) 11(8):698708. doi: 10.1016/S2213-2600(23)00049-8

  • 21

    CHINA SCIO. COVID-19 response further optimized with 10 new measures. National Heath Commission of the People’s Republic of China (2022).

  • 22

    BaiYPengZWeiFJinZWangJXuXet al. Study on the Covid-19 epidemic in mainland china between november 2022 and january 2023, with prediction of its tendency. J Biosaf Biosecur (2023) 5(1):3944. doi: 10.1016/j.jobb.2023.03.001

  • 23

    China CDC. The situation of the novel coronavirus infection in China. (2023). Available at: https://www.chinacdc.cn/jkzt/crb/zl/szkb_11803/jszl_13141/202304/t20230408_264979.

  • 24

    GilbertPBDonisROKoupRAFongYPlotkinSAFollmannD. A covid-19 milestone attained - a correlate of protection for vaccines. N Engl J Med (2022) 387(24):2203–6. doi: 10.1056/NEJMp2211314

  • 25

    JinLTangRWuSGuoXHuangHHouLet al. Antibody persistence and safety after heterologous boosting with orally aerosolised Ad5-ncov in individuals primed with two-dose coronavac previously: 12-month analyses of a randomized controlled trial. Emerg Microbes Infect (2023) 12(1):2155251. doi: 10.1080/22221751.2022.2155251

  • 26

    LiJHouLGuoXJinPWuSZhuJet al. Heterologous Ad5-ncov plus coronavac versus homologous coronavac vaccination: A randomized phase 4 trial. Nat Med (2022) 28(2):401–9. doi: 10.1038/s41591-021-01677-z

  • 27

    CohenGJungsomsriPSangwongwanichJTawinpraiKSiripongboonsittiTPorntharukchareonTet al. Immunogenicity and reactogenicity after heterologous prime-boost vaccination with coronavac and Chadox1 ncov-19 (Azd1222) vaccines. Hum Vaccines Immunotherapeutics (2022) 5(18):000–. doi: 10.1080/21645515.2022.2052525

  • 28

    BaekYJKimW-JKoJ-HLeeY-JAhnJYKimJHet al. A heterologous Azd1222 priming and Bnt162b2 boosting regimen more efficiently elicits neutralizing antibodies, but not memory t cells, than the homologous Bnt162b2 regimen. Vaccine (2023) 10(41):1694–702. doi: 10.1016/j.vaccine.2023.01.063

  • 29

    AssawakosriSKanokudomSChansaenrojJSuntronwongNAuphimaiCNilyanimitPet al. Persistence of immunity against omicron Ba.1 and Ba.2 variants following homologous and heterologous covid-19 booster vaccines in healthy adults after a two-dose Azd1222 vaccination. Int J Infect Dis (2022) 000(122):793801. doi: 10.1016/j.ijid.2022.07.038

  • 30

    Costa ClemensSAWeckxLClemensRAlmeida MendesAVRamos SouzaASilveiraMBVet al. Heterologous versus homologous covid-19 booster vaccination in previous recipients of two doses of coronavac covid-19 vaccine in brazil (Rhh-001): A phase 4, non-inferiority, single blind, randomised study. Lancet (2022) 10324(399):521–9. doi: 10.1016/S0140-6736(22)00094-0

  • 31

    AtmarRLLykeKEDemingMEJacksonLABrancheAREl SahlyHMet al. Homologous and heterologous covid-19 booster vaccinations. New Engl J Med (2022) 11(386):1046–57. doi: 10.1056/NEJMoa2116414

  • 32

    JagadeeshNDevaVKapadiSShawD. Risk factors of 120-day mortality among hip fractures with concomitant covid-19 infection. Cureus (2022) 14(12):e32637. doi: 10.7759/cureus.32637

  • 33

    ZimmermannPCurtisN. Factors that influence the immune response to vaccination. Clin Microbiol Rev (2019) 32(2). doi: 10.1128/CMR.00084-18

  • 34

    Oliveira-SilvaJReisTLopesCBatista-SilvaRRibeiroRMarquesGet al. Long-term serological sars-Cov-2 igg kinetics following mrna covid-19 vaccine: Real-world data from a large cohort of healthcare workers. Int J Infect Dis (2022) 122:17. doi: 10.1016/j.ijid.2022.05.026

  • 35

    KangYMMinnDLimJLeeKDJoDHChoeKWet al. Comparison of antibody response elicited by Chadox1 and Bnt162b2 covid-19 vaccine. J Korean Med Sci (2021) 36(46):e311. doi: 10.3346/jkms.2021.36.e311

  • 36

    ChenSZhouJOuXChengWQinYGuoYet al. Alimentary system is directly attacked by sars-Cov-2 and further prevents immune dysregulation caused by Covid-19. Int J Clin Pract (2021) 75(4):e13893. doi: 10.1111/ijcp.13893

Summary

Keywords

SARS-CoV-2, COVID-19, fourth dose, Ad5-nCoV, breakthrough infection

Citation

Xu N, Xu Y, Dai R, Zheng L, Qin P, Wan P, Yang Y, Jiang J, Zhang H, Hu X and Lv H (2023) Study of efficacy and antibody duration to fourth-dose booster of Ad5-nCoV or inactivated SARS-CoV-2 vaccine in Chinese adults: a prospective cohort study. Front. Immunol. 14:1244373. doi: 10.3389/fimmu.2023.1244373

Received

22 June 2023

Accepted

16 August 2023

Published

06 September 2023

Volume

14 - 2023

Edited by

Mrinmoy Sanyal, Stanford University, United States

Reviewed by

Larry Ellingsworth, Novavax, Inc., United States; Weina Sun, Icahn School of Medicine at Mount Sinai, United States

Updates

Copyright

*Correspondence: Hangjie Zhang, ; Xiaowei Hu, ; Huakun Lv,

†These authors have contributed equally to this work and share first authorship

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics