Background

The 1918 influenza pandemic and COVID-19 pandemic, respectively due to H1N1 and SARS-CoV-2 viruses, are among the most disastrous infectious disease emergencies of contemporary times. Although caused by unrelated viruses, the two pandemics are nevertheless similar in their clinical and pathological characteristics [1], but not in their epidemiological ones (see below).

During the COVID-19 pandemic, children and adolescents acquired SARS-CoV-2, often without manifesting serious symptoms. Likely explanations include regular exposure to seasonal coronaviruses, leading to the existence of cross-reactive antibodies, and concurrent clearance with other viral infections. Additional age-related factors may include very frequent immunizations and resulting trained immune responses, as well as a broader memory T cell repertoire compared to older individuals who, due to immune ageing and inflamm-ageing, were the age group with the highest mortality [2,3,4].

Specific age-related Spanish flu mortality followed, instead, a W-shaped curve characterized by high mortality in infants and young children, as well as in older people, with a third peak of mortality in individuals aged 15 to 30 years. Those over the age of thirty could have been protected by pre-existing cross-immunity likely due to an H1 flu virus that was in circulation in 1889 [1, 5]. Regarding infant mortality, a so-called honeymoon period was recognized, as mortality rates decreased after the first two years of life in 4–12 years old children, only to increase again in later childhood. This epidemiological pattern is consistent with host-pathogen coadaptation [5, 6].

Coming back to COVID-19 older people mortality, there are conflicting findings in the literature [7]. However, this quoted review revealed the following: (a) Consistent with evidence indicating that women tend to outlive men even during severe famines and epidemics, women exhibit greater resilience [8], although conflicting data exist regarding female centenarians in Northern Italy [9]; (b) Due to their frailty [10], centenarians, on the whole, generally succumb to COVID-19 at rates similar to or greater than other older individuals [11,12,13], with the exception of Japan, where their numbers continued to rise due to general precautions against viral infections, such as social distancing [14]; (c) During the initial wave of the pandemic in 2020, before introduction of vaccines, “older” centenarians (> 101 years old) exhibited greater resilience to COVID-19 than “younger” ones (< 102 years old) [11, 15].

The Belgian study highlighted that in 2020 the mortality rate among centenarians born after August 1, 1918, in Belgium was higher compared to older centenarians [15]. The Sicilian study, using mortality data from 2019 as a control, calculated the crude excess mortality between 2019 and 2020 for centenarians born after 1918 and those born before 1919. In 2020, there was a 61% excess mortality for centenarians born after 1918 and thus aged 100 or 101 years, while there was no excess mortality for centenarians born before 1919 and thus aged equal to or older than 102 years [11]. Both studies were conducted using demographic data published by the respective demographic institutions [11, 15].

This is an apparent paradox, as older centenarians are inherently more fragile than younger ones [10]. The temporal coincidence between the outbreak of the Spanish flu pandemic (on August 1, 1918, in Belgium, while the month of the outbreak is unknown in Sicily) and the birth of cohorts characterized by greater susceptibility to COVID-19 in 2020 suggests a connection between exposure to the 1918 H1N1 influenza pandemic and resistance to SARS-CoV-2 [11, 15]. Poulain et al. [15] have hypothesized that the lifelong persistence of cross-reactive immune mechanisms might have enabled centenarians exposed to the Spanish flu to overcome the threat of COVID-19 a century later.

To gain insight into this matter, namely whether the resilience of older centenarians (> 101 years old) to SARS-CoV-2 infection is linked to the Spanish Flu they had been affected by, we conducted a retrospective study. We tested serum samples from 33 Sicilian centenarians, including semi- (> 104 < 110 years old) and supercentenarians (> 109 years old), born between 1905 and 1922, against both SARS-CoV-2 and 1918 H1N1 pseudotype virus (PTV). Semi-supercentenarians and supercentenarians represent a highly selected population, comprised of individuals who have survived two world wars and numerous environmental and microbial challenges, including the Spanish flu [16]. Therefore, it is reasonable to infer that the immune systems of these individuals possess unique characteristics that contribute to their remarkable longevity [17,18,19,20,21,22].

Results

Tables 1 and 2 present comprehensive data for the 33 centenarians included in this retrospective study, detailing information such as sex, date of blood draw, and age at the time of blood collection (expressed in years and months). The study cohort included four female supercentenarians, six female semi-supercentenarians, and one male semi-supercentenarian. Thirteen centenarians were born before 1919, and their blood samples were collected prior to the pandemic outbreak. In contrast, blood samples from another thirteen centenarians, also born before 1919, were drawn after the onset of the pandemic. Additionally, seven centenarians were born after 1918, and among these, blood samples were collected after the pandemic outbreak for six individuals. Furthermore, Table 2 documents the insights furnished by the offspring (or by caregivers) of the centenarians concerning SARS-CoV-2 infection and anti-COVID-19 vaccination.

Tables 1 and 2 also encompass the outcomes of the serological tests conducted. The ELISA test is employed to detect antibodies targeted against the nucleocapsid protein (NP), which are indicative of previous natural infection by SARS-CoV-2, since the mRNA vaccines do not elicit a response against this antigen, so much so that they can be used to distinguish individuals in a vaccinated population who have been previously exposed to the virus [23,24,25,26,27]. Then, neutralising antibodies are considered to be a correlate of protection, and the virus neutralisation (VN) assay with live viruses is currently considered the gold standard for assessing antibody-mediated protection in both naturally infected and vaccinated subjects [28, 3, 7]. The degree of immune-inflammatory responses differs between men and women and persists throughout life [7, 8, 45]. Besides sex hormones, sex chromosomes play a role, as several immune genes are found on the X chromosomes. X-chromosome inactivation silences one X chromosome in the majority of XX cells, equalizing the expression of X-linked genes to that in XY cells. However, not all genes are silenced; those that evade X inactivation are believed to play a role in certain immune responses [8, 46] Generally, women have a stronger adaptive immune response (especially humoral), while men have a stronger natural immune response, i.e., an inflammatory one [7, 8, 45, 47]. Excess mortality observed in 27 European countries during the winter circulation of respiratory pathogens from 2016 to 2020 was higher in males compared to females. This pattern was particularly evident during influenza epidemics and the SARS-CoV-2 pandemic, indicating that sex and gender differences are common to all, or at least respiratory, infections [48]. The higher inflammatory response in men further contributes to high excess mortality from infectious diseases such as COVID-19, where the cytokine storm plays a key role [3, 45]. These differences persist in centenarians, since women immune parameters decline more slowly with ageing [45]. Both sexes experience increased pro-inflammatory states with age due to greater chromatin accessibility for inflammation-related genes, but it is more pronounced in men [47]. Despite this, the harmful effects of inflamm-ageing can be mitigated in centenarians through mechanisms such as the secretion of certain microRNAs, Interleukin-19, and increased regulatory T cells [49,50,51]. Interestingly, a preliminary report [52] calculated both the INFLA-score and the systemic inflammation response index (SIRI), two composite indices summarizing the effect of multiple serum and cellular inflammatory biomarkers [53, 54], to measure the level of inflamm-ageing, which showed a significant increase with age. However, no statistical difference was observed when analysing the values for semi- and supercentenarians compared to adults. Therefore, older centenarians have efficient mechanisms for controlling inflammation. Recent studies of lymphocyte subsets in semi- and supercentenarians suggest, then, that immune system ageing changes should be considered a specific adaptation that enables older centenarians to successfully cope with a lifetime of antigenic challenges and achieve extreme longevity [20,21,22]. Overall, the data demonstrate that older centenarians have better control of immune-inflammatory responses, which can allow for good control of SARS-CoV-2 infection, potentially resulting in asymptomatic cases.

Our study has several limitations. The number of enrolled centenarian subjects was relatively small, but it is important to consider that semi and supercentenarians are relatively rare (the ratio of supercentenarians to centenarians is 1/1000) [16]. Moreover, in a retrospective study where centenarians were recruited either before or during the pandemic, the case series would not be homogeneous if new participants are recruited after the end of the pandemic [55], due to the different time frame. The gender distribution was not balanced, because it reflected the female/male ratio among Italian centenarians, which is 85% vs. 15%. (for sex differences between centenarians, semi- and supercentenarians, and their number, see Supplementary file). Control sera were randomly selected solely based on the age range, without knowledge of the history of exposure to the virus or the vaccine, to ensure greater suitability as random controls. We did not evaluate other branches of immunity, such as T cell responses, despite their role in controlling SARS-CoV-2 [56]. Finally, it should be noted that the samples were collected from Southern Italy, so they may not be representative of the entire Caucasoid population.

Conclusions

This retrospective investigation shows that older centenarians display considerable resistance to COVID-19, as they are capable of generating high levels of neutralising antibodies, and the infection was mild or asymptomatic. This resilience may be attributed to the 1918 Spanish flu through mechanisms other than the existence of cross-reactive antibodies between the 1918 H1N1 influenza virus and SARS-CoV-2. Another possibility is that the association is purely temporal, linked only to the greater age of resilient centenarians compared to those born after 1918, as older centenarians are recognized for having better control over immunoinflammatory responses.

Materials and methods

Study cohort

The subjects participating in the “Discovery of molecular and genetic/epigenetic signatures underlying resistance to age-related diseases and comorbidities (DESIGN, 20157ATSLF) project”, funded by the Italian Ministry of Education, University, and Research, were examined for the present investigation. The detailed study design and participant recruitment have been previously outlined [57]. For the present study, a total of 33 Sicilian participants (28 females and 5 males) aged between 100 and 111 years, enrolled between 2017 and 2022, were included. For their age validation see supplementary file. Centenarians were excluded from enrolment if diagnosed with chronic or acute diseases such as neoplastic and autoimmune diseases, as well as severe dementia. Another exclusion criterion was the use of immunomodulatory drugs within the previous six months. The subjects participated voluntarily, and written informed consent was obtained from all participants or their offspring.

Centenarians underwent venepuncture after a 12-hour fasting period in the morning (10 a.m.). Blood was collected in specific tubes containing EDTA or no additives. Sera were immediately frozen at -80 °C and subsequently, shipped, in dry ice, to the laboratory involved in the study. All serum samples underwent testing by VN assay with live (SARS-CoV-2) [30] and H1N1 PTV [32] and by ELISA for the detection of antibodies against the NP of SARS-CoV-2, indicative of previous infection [23,24,25,26,27].

As a control cohort, a total of 30 human serum samples from the Italian general population were used, selected based on the age range (70–79 years). These samples were anonymously collected in 2022 in the Apulia region (Southern Italy) as residual sera of routine medical checks. For each sample, only the date of collection and the subject age and sex (13 women and 17 men) were recorded.

Determination of antibodies against the nucleocapsid protein of SARS-CoV-2

All samples were tested by commercial ELISA (Aeskulisa® SARS-CoV-2 NP IgG, Aesku.Diagnostics, Wendelsheim, Germany) for the detection of IgG antibodies against the NP, which are indicative of previous natural infection [23,24,25,26,27]. In accordance with the manufacturer instructions, quantitative analysis was performed by using a 4-parameter logistic standard curve obtained by plotting the optical density (OD) values measured for 4 calibrators against their antibody activity (U/ml) using logarithmic/linear coordinates. The antibody activities of the samples were quantified from the OD values by using the curve generated, and were considered positive if > 12 U/ml.

SARS-CoV-2 virus neutralisation assay

The VN assay, considered the gold standard for assessing antibody-mediated protection in both naturally infected and vaccinated subjects [28, 29], was performed as previously reported [58]. Briefly, serum samples were heat-inactivated for 30 min at 56˚C and, starting from 1:10 dilution, were mixed with an equal volume of ancestral wild-type SARS-CoV-2 2019 virus (2019-nCov/Italy-INMI1 strain, purchased from the European Virus Archive goes Global, EVAg, Spallanzani Institute, Rome) viral solution containing 100 Tissue Culture Infective Dose 50% (TCID50). After 1 h of incubation at room temperature, 100 µl of virus-serum mixture were added to a 96-well plate containing VERO E6 cells with 80% confluency. Plates were incubated for 72 h at 37˚C, 5% CO2 in humidified atmosphere, then inspected for presence/absence of cytopathic effect (CPE) by an inverted optical microscope. A CPE higher than 50% indicated infection. The VN assay titre was expressed as the reciprocal of the highest serum dilution showing protection from viral infection and CPE.

Samples with antibody titres equal to or greater than 10 are considered positive, while a titre of 5 indicates a negative sample, meaning no neutralising antibodies were detected. Serum samples were assayed in duplicate, and the presented results are the geometric mean titres.

H1N1 pseudotype virus production

H1N1 PTV was produced in HEK293T/17 cells (ATCC CRL11268) pre-seeded in a T75 flask (Thermo) with approximately 2 × 106 cells the day before transfection. Cells were then co-transfected with 1 µg of packaging lentiviral core p8.91, 1.5 µg of pCSFLW encoding Firefly Luciferase, 1 µg of A/South Carolina/1/1918 haemagglutinin phCMV1 plasmid (accession no AF117241.1) and 250 ng TMPRSS4 pCMV using FugeneHD (Promega) transfection reagent at a ratio of 1:3 DNA: Fugene in optiMEM (Gibco). The day after transfection, 1U of exogenous Neuraminidase (Sigma-Aldrich N2876) was added to the cell culture medium. PTVs were harvested at 48 h post transfection and supernatant filtered through a 0.45 μm acetate cellulose filter (Starlab) [59, 60].

H1N1 PTV neutralisation assay

PTV neutralisation assays were performed as described [32]. Briefly, serum samples were diluted 1:20 in DMEM and serially diluted 2-fold in white 96-well F-bottom plates (Thermo). An equal number of PTVs were added to achieve ~ 1 × 106 RLU per well apart from cell only control wells, and incubated for 1 h at 37 °C and 5% CO2, followed by addition of target HEK293T cells (20,000 cells/well). Plates were incubated for 48 h prior to lysis with Bright-Glo reagent (Promega).

Luminescence was measured using a GloMax luminometer (Promega) and IC50 values (half-maximal inhibitory concentration) were determined by non-linear regression using GraphPad Prism (v.9).

Statistics

The geometric mean titres of the different neutralisation assays were compared between centenarians and sample controls by unpaired Student t test. Only p-values less than 0.05 were considered significant.