Adenovirus 36 prevalence and association with human obesity: a systematic review

Abstract

Introduction

Obesity has numerous etiologies and includes biological factors. Studies have demonstrated that the human adenovirus subtype 36 (Adv36) is an adipogenic agent and causes metabolic alterations. Study results on the prevalence of Adv36 and clinical effects in humans vary substantially. This was a systematic review to summarize the studies on the prevalence of Adv36 infection and its association with human obesity.

Methods

A systematic literature review was conducted using the preferred reporting items for systematic reviews and meta-analysis (PRISMA). Observational or experimental studies found in the Medline, Embase, LILACS, Science Direct and SciELO databases that presented results on the prevalence of Adv36 in humans were included.

Results

Thirty-seven studies were screened. A total of 10,300 adults aged 18–70 years and 4585 children and adolescents aged 3–18 years were assessed. The average prevalence of Adv36 among adults was 22.9%, ranging from 5.5% to 49.8%. Among children and adolescents, the average prevalence of Adv36 was 28.9%, ranging from 7.5% to 73.9%. There was a positive statistical relationship between Adv36 and weight gain, obesity, or metabolic changes in 31 studies. However, in four studies there was no association with obesity, and in one, no association was described. One of the studies showed an inverse correlation, i.e., Adv36 was a protective factor against obesity.

Conclusion

Strong evidence suggested a positive association between viral infection and obesity. However, due to the multi-causality of obesity and heterogeneity of studies, diagnostic tests should be standardized and easily accessible by the population to estimate the overall prevalence of Adv36 infection and its association with obesity.

Introduction

Obesity is a public health issue [1, 2], and its prevalence has increased significantly in all age groups and practically in all countries [1–4]. It is directly related to several complications and diseases [5–9] and may result in psychological changes, financial and life expectancy losses [1–3, 10–13]. Its etiology has multiple factors [14–19], in addition to the high cost and the high failure rate of different treatment options [16–19]. However, in many cases, there is no linearity between exposure to the factors involved with the onset of obesity and the effective development of the disease or a precise relationship with the expected metabolic alterations in people with obesity [20–22].

With the aim of identifying alternative factors to those intrinsically related to obesity, such as genetics, physical inactivity, and dietary habits [1, 2, 10], several authors have dedicated themselves to the study of biological agents as one of the causal factors for obesity. Since the 1980s, published studies have shown the adipogenic effect and metabolic alterations of some viruses in several animal species [22–34]. However, there is still doubt about the role of these agents in the current human obesity pandemic. Although some studies have found an association between the infection of an avian adenovirus (SMAM-1) [35] and Adv36 with human obesity and/or metabolic alterations in adults [36–51] and in children and adolescents [39, 47, 52–66], other studies have shown divergent results in specific subject groups or using different diagnostic methods [67–72].

Adv36 was the first human virus to be identified as causing obesity in animals [33]. Adv36 infected chickens, mice, and rats gained significantly more weight and adipose tissue than uninfected controls [26, 33, 34]. A longitudinal study on monkeys has shown a 15% increase in body weight and a 29% reduction in serum cholesterol levels after natural infection [31]. Experimental infection of monkeys with Adv36 led to an almost fourfold increase in body weight compared to uninfected controls and a 58% increase in body fat versus controls [31]. Serum cholesterol decreased significantly (p < 0.006) compared to controls [31]. Adv36 is the only virus that was related to obesity and/or metabolic alterations in naturally infected humans [36–66] and has been the most studied pathogen when it comes to biological factors causing the human obesity epidemic [73–76].

Research on Adv36 effects on humans varies considerably with respect to the infection prevalence and consequences to the diverse populations studied. Therefore, a systematic review would provide the best way to examine these results.

The aim of this study was to assess the prevalence of Adv36 infection in humans and examine the effects based on available scientific evidence.

Material and methods

Searching

The search strategy was performed using Medline and EMBASE bibliographic databases and the platforms of LILACS, Ovid, Science Direct, and SCIELO. The reference lists of the review papers were hand-searched to identify further eligible studies. Duplicate publications were checked.

Two investigators conducted independent searches in parallel, and any discrepancy was discussed and resolved by consensus with a third reviewer. The following terms were used: “obesity”; [textword] or “overweight”; [textword] and “ad36” [textword] or “Adv36” [textword] or “HAdV36” [textword] or “adenovirus 36” [textword] or “adenovirus36” [textword] or “human adenovirus 36” [textword] or “adenovirus-36” [textword] using Boolean operators. A filter “study in humans” was used.

Selection

The eligibility criteria were the following: original observational (cross-sectional, cohort, control case) studies or experimental (clinical, quasi-experimental) studies on humans assessing the prevalence of Adv36 infection, published until December 2019, with no language restrictions.

Experimental studies in animals or in vitro, genetic sequencing, literature review, editorials, opinion articles, case reports, and letters to the editor were excluded.

Validity assessment

The eligibility screening was checked by three independent researchers, who read the titles and abstracts of all articles initially selected to identify those that met the inclusion criteria and those that were not promptly excluded. Disagreements were resolved by discussions among researchers until consensus was reached.

Data extraction

A standardized form was designed, pre-tested, reviewed, and used by three independent researchers for data extraction. Disagreements were resolved by discussions among the researchers involved in the study. The selected studies were critically appraised, and the data were recorded in a table that allowed for a comparison between the studies.

Quantitative data synthesis

The characteristics of the studies, such as the year of publication, target population and sample size, study design, and method for estimating Adv36 infection were recorded. Data were collected according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) checklist [77], and a four-phase diagram was developed (Fig. 1). The main information extracted from each included article was as follows: (1) author and year of publication; (2) studied population, site, and period of data collection; (3) study design and sample size; (4) gender and mean age; (5) prevalence, comparison between people with or without obesity, and method used for the diagnosis of Adv36; (6) p-value; (7) main study conclusion.

Fig. 1. Flowchart showing study selection process.

Process of identification, screening, elegibility and inclusion of articles that presented data on the prevalence of Adv36, included in the systematic reviewby applying PRISMA criteria, published until January 2019.

Results

Flow of included studies

The initial search of databases yielded 3095 potentially eligible studies based on the combined use of the descriptors. After screening the titles and abstracts, in addition to excluding duplicates, the full text was assessed by three researchers. After applying the inclusion and exclusion criteria, a total of 37 articles were selected for final analysis, according to the flowchart shown in Fig. 1.

Study characteristics

Thirty-seven original articles published between 2005 and 2019 were included in this systematic review, six with a case-control design [38, 47, 48, 51, 60, 67], six cohorts [36, 37, 42, 43, 49, 62], one retrospective cohort [69], 19 cross-sectional studies [39, 40, 44, 45, 50, 52–58, 61, 64, 65, 68, 70–72], four quasi-experimental [41, 59, 63, 66], and one with a mixed design (transversal + case-control) [46]. Nineteen studies were conducted exclusively on adults [36–38, 40–46, 48–51, 67–71], 16 on children and adolescents [52–66, 72], and two studies [39, 47] were conducted on both adults and children, and thus were listed in both Table 1 (adults) and Table 2 (children).

Table 1.

Data from studies among adults.

				Adv36 prevalence (%)
Reference, year of publication	Population, setting, and data collection	Study design and sample size	Gender, Age (Mean ± SD, and Range)	General	Obese	Non-obese	p-value	Conclusion
Atkinson, 2005 [36].	Overweight and obese volunteers attending weight reduction programs in Madison and Naples; non-obese volunteers from University and local communities. Stored samples from obese and thin research subjects at the New York Obesity Research Center. The United States of America.	Cohort n = 502	77% women 41.1 years	24.7a	30.0	11.0	<0.001	Adv36 is associated with increased body weight and lower serum lipids in humans.
Trovato, 2009 [37]	Subjects from Internal Medicine Clinic and Day Hospital for Clinical-nutritional assessment and counseling and followed thereafter for 6 months. Italy.	Cohort n = 203	64% women 45.94 ± 15.17	43.3a	64.7	32.6	<0.001	A significant association of Adv36 seropositivity with obesity and with essential hypertension in human beings is suggested. Adv36 seropositive status could be also a hallmark of a clinical-metabolic profile possibly preceding obesity and diabetes in non-obese patients.
Trovato, 2009 [38]	Nonalcoholic fatty liver disease (NAFLD) referred to the Day Hospital after an ultrasound diagnosis of bright liver and non-NAFLD with overweight. Italy.	Case-control n = 179	65.3% women 45.73 ± 14.90	41.3a				Adv36 seropositivity is associated with greater adiposity. Adv36 seropositivity is associated with a lower occurrence of NAFLD.
Broderick, 2010 [67]	Obese and lean active-duty US military personnel. The United States of America.	Case-control n = 297	34% women	36.5a	34.3	38.8	>0.05	Logistic regression indicated no significantly different risk of obesity-associated with antibody evidence of Adv36 exposure.
Gooseens, 2011 [68]	Subjects from the Netherlands (128 health-care students + 131 obese patients [BMI range 27–40 kg/m2]); and Belgium (127 twin members [62 with BMI > 25 kg/m2 + 65 BMI < 21.5 kg/m2] +  123 Belgian blood donors).	Cross-sectional n = 509		5.5a	5.7	3.9	>0.05	In the Netherlands and in Belgium, no significant correlation is found between Adv36 seropositivity and BMI. In addition, we obtained no indication that Adv36 DNA is present in visceral adipose tissue of severely obese subjects.
Almgren, 2012 [39]	Adults from Sweden, and anonymous human serum samples from Sweden, the USA, Finland, and South Korea.	Cross-sectional n = 1978	Age range 19–69 years	19.4a,b,c				Adv36 infection is associated with severe obesity in adult females.
Na, 2012 [40]	Participants from routine health examinations at the Health Promotion Center of the Ewha Womans University Medical Center (EWUMC), Seoul, South Korea.	Cross-sectional n = 540	50% women 44.3 ± 7.04 (range 30–59)	34.3a	30.0	32.8	>0.05	Adv36 seems to be strongly associated with overweight, but not obese, Korean adults.
Trovato, 2012 [41]	Nonalcoholic fatty liver disease (NAFLD) referred to the Day Hospital followed up for 12 month-period, enrolled from October to December 2008. Italy.	Quasi-experimental n = 62	56.5% women	40.3a				Adv36 previous infection is significantly associated with enhanced weight loss, bright liver disappearance, and recovery of insulin sensitivity through the chosen tailored nutritional interventional treatment. Fatty liver pattern improves in Adv36 negative NAFLD patients, to a lower extent.
Lin, 2013 [42]	San Antonio Family Heart Study (Mexican American individuals from San Antonio, Texas). The study was initiated in 1991. Follow up about 10 years. The United States of America.	Cohort n = 1400	59.6% women Mean age 39.24 ± 16.78	14.6a				This study strengthens the plausibility that Adv36 increases adiposity and attenuates deterioration of glycemic control. the study raises the possibility that certain infections may modulate obesity or diabetes risk.
Almgren, 2014 [43]	A selection of individuals within the largest longitudinal population-based Stockholm Diabetes Prevention Program of adults living in Stockholm County, aged 35–55 years at baseline. Baseline sampling of 7949 adults, was performed in 1992–1998 and a follow-up was made in 2002–2006. Sweden.	Cohort n = 1734	46.0% women	13.1a				Adv36 infection is associated with a lower occurrence of type 2 diabetes and better insulin sensitivity in adults, particularly among females.
Bil-Lula, 2014 [44]	Obese subjects were recruited by the Department of Social Medicine, Wroclaw Medical University, and non-obese volunteers were collected by the Department of Clinical Chemistry, Wroclaw Medical University, Poland.	Cross-sectional n = 88	70.5% women Mean age 60; range 26-61	6.8a	13.5	1.9	0.03	We showed that there is an association between the immune response to Adv31 and Adv36 infections (presence of anti-Adv antibodies in serum) and obesity in the Polish population.
Jiao, 2014 [45]	All individuals enrolled in this study were long-term Uighur residents in the Xinjiang region, China.	Cross-sectional n = 185	Age range 30–70 years	49.2b	58.9	40.0		Adv36 was associated with obesity of patients from the Xinjiang region. Adv36 infection may be a factor related to macrophage infiltration in adipose tissues of obese patients. Increased levels of adiponectin and visfatin might be the mechanisms underlying the effect of Adv36 infection on obesity.
Voss, 2014 [69]	Male subjects from Air Force, aged 18–22 years, with a baseline body mass index of 20–30 kg/m2 followed up from enlistment (beginning in 1995) until 2012 or separation from the Air Force. The United States of America.	Retrospective Cohort n = 500	100% men Age range 18–22 years	20.8c	9.4	11.4	0.45	The presence of Adv36 antibodies was not associated with higher BMI at baseline or follow-up within this military population. However, being infected was associated with developing a clinical diagnosis of overweight/obesity, especially among those lean at baseline.
Ergin, 2015 [46]	Adults diagnosed as obese or non-obese and admitted to Plastic, Reconstructive and Esthetic Surgery Clinics of various hospitals (From March 2013 to February 2014). Turkey.	Cross-sectional and case-control study n = 98	59.2% women	6.1a	12.2	0.0	<0.05	We detected significantly higher Adv36 antibody levels in the obese group compared to the non-obese group, suggesting that Adv36 may play a role in obesity.
Karamese, 2015 [47]	Participants from Erzurum, Turkey.	Case-control n = 130	61.5% women Age range 23–49	12.3c	17.5	4.0	<0.05	Adv36 may be an obesity agent for adults.
Kocazeybek, 2015 [48]	Adult males with and without gynecomastia. Istanbul, Turkey.	Case-control n = 48	100% men	16.7a	24.2	0.0	<0.05	Our results suggest that there might be a relationship between Adv36 and gynecomastia.
Ponterio, 2015 [70]	Adult overweight or obese patients. Rome, Italy.	Cross-sectional n = 21	61.9% women Mean age 47.8 ± 14.6; range 23–65 years	19.0b				This study indicates that some individuals carry Adv36 in the visceral adipose tissue.
Sabin, 2015 [49]	A subgroup of participants from the Cardiovascular Risk in Young Finns Study from 1980 to 2011. Finland.	Cohort n = 449	46.3% women Mean age 29.4 ± 3.2; range 21–31 years	27.4c	21.3	11.6	0.02	Individuals who gained weight across the life-course were more likely to be Adv36 seropositive in adult life than those who did not gain weight.
Waye, 2015 [50]	Serum samples from 4 groups of local Chinese subjects with no family history of diabetes: (1) non-obese and non-diabetic; (2) obese non-diabetic; (3) obese diabetic subjects; (4) non-obese diabetic subjects. China.	Cross-sectional n = 303	Age range 25–55 years	7.3b 17.2a	7.4	7.1	0.561	Obese or diabetic subjects had a higher rate of Adv36 infection. These findings support the possible role of viral or microbial infection in both obesity and diabetes.
Zhou, 2018 [71]	Adults recruited from Beijing hospital, from January 2015 to May 2016. China	Cross-sectional n = 824	41.0% women Median age 46 (IQR 37–55 years)	49.8c	42.9	51.4	>0.05	The Adv36 infection may be related to the weight loss in the Chinese Han population, especially in the male group.
Sapunar, 2019 [51]	Subjects selected at Centro de Tratamiento de la Obesidad at the Clinica Alemana de Temuco and among workers from the Universidad de La Frontera in the city of Temuco, in southern Chile.	Case-control n = 250	56% women	48.8c	58.0	34.0	<0.001	Results provide evidence of the contribution of previous Adv36 infection to an increased risk of obesity in the adult Chilean population.

^aAdv36 determined by serum neutralization assay (SNA) method.

^bAdv36 determined by polymerase reaction chain (PCR).

^cAdv36 determined by enzyme-linked immunosorbent assay (ELISA).

Table 2.

Data from studies among children and adolescence.

Reference, year of publication	Population, setting, and data collection	Study design and sample size	Gender, Age (Mean ± SD, and Range)	Adv36 prevalence %
				General	Obese	Non-obese	p-value	Conclusion
Atkinson, 2010 [52]	Obese Korean children from the Pediatric Obesity Clinic of the National Police Hospital or the Pediatric Clinic at the National Medical Center. Seoul, South Korea.	Cross-sectional n = 84	15.5% girls age 14.8 ± 1.9; range 8.3–16.3 years	30.0a				Adv36 infection is common in obese Korean children and correlates highly with obesity. Adv36 may have played a role in the obesity and Type 2 diabetes epidemic in children.
Gabbert, 2010 [53]	Children and adolescents between 8 and 18 years of age were recruited from primary care clinics throughout. San Diego, California. USA	Cross-sectional n = 124	44% girls Mean age 13.4 ± 2.4; range 8–18 years	15.3a	22.0	7.0	<0.05	These data support an association of obesity and higher body weight with the presence of neutralizing antibodies to Adv36 in children.
Na, 2010 [54]	Korean school children who participated in the Ewha Woman’s University Obesity Research Study were selected for a community-based cohort study. Recruited between March 2008 and May 2008 from primary and middle high schools located in Seoul, South Korea.	Cross-sectional n = 318	42.5 girls Age range 6–15 years	26.11a	28.57	13.56	0.0174	Adv36 seems to be strongly associated with lipid disorders in Korean school children regardless of obesity.
Almgren, 2012 [39]	Children from the national pediatric obesity clinic center at Karolinska University Hospital in Huddinge, Stockholm. Between 2003 and 2007. And controls collected from high schools in Stockholm between 2004 and 2006. Sweden.	Cross-sectional n = 424	51.7% girls Age range 10–18 years	22.4a,b,c	28.8	20.1	0.047	Adv36 infection is associated with pediatric obesity.
Tosh, 2012 [55]	Subjects attending at Missouri adolescent obesity clinic. The United States of America.	Cross-sectional n = 13	Age 14.7 ± 2.5; range 10–18 years	46.2a				The presence of Adv36 antibodies is significantly associated with a higher BMI. The implication is that Adv-36 infection may predispose a person to gain weight at a greater than predicted rate.
Aldhoon-Hainerová, 2013 [56]	Adolescents from pediatricians or from clinics specialized in childhood obesity, randomly selected from the Childhood Obesity Prevalence and Treatment (COPAT) project. The project was conducted between August 2008 and April 2011, across the whole country. Prague, Czech Republic.	Cross-sectional n = 1179	Age range 13–17.9 years	26.5c	15.6	10.9	<0.05	These results demonstrated an association of Adv36 antibodies with obesity and an even greater association with overweight. Adv36 positivity was related to increased fat mass, levels of TC, and LDL-C, but to a decreased level of blood glucose.
Laing, 2013 [57]	Late adolescent females enrolled in their first semester at The University of Georgia and who had participated in the Fighting Osteoporosis in College Using Soy intervention study. The United States of America.	Cross-sectional n = 115	100% girls Age range 18–19 years	53.9a	63.6 high-fat	51.6 normal-fat	0.017	These data support an association of adiposity and cortical bone strength at the radius with the presence of neutralizing antibodies to Adv36 in late-adolescent females.
Parra-Rojas, 2013 [58]	The children were recruited from three schools in the urban area from Chilpancingo, state of Guerrero, Mexico. Data were collected between September and December 2008.	Cross-sectional n = 157	52.2% girls Mean age 9; range 6–11 years.	73.9c	58.6	41.4	0.007	This study provides evidence of the relationship of Adv36 seropositivity with obesity and low HDL-c levels. Moreover, Adv36 infection may contribute to increasing the number of metabolic alterations in Mexican children.
Vander Wal, 2013 [59]	Participants included youth enrolled at a residential summer weight loss camp. United States of America.	Quasi-experimental n = 73	78.1% girls. Mean age 13.44 ± 1.96; range 10–17	23.3a				Adv36 AB status showed a weak association with treatment response but was associated with a better lipid profile. Adv36 AB status should be assessed in studies of pediatric obesity treatment and prevention.
Berger, 2014 [72]	Children who were part of a multisite vitamin D trial at the University of Georgia, Purdue University, and Indiana University. At each testing site, two cohorts of children were enrolled in the study (the first: October to December 2009; the second: October to December 2010). United States of America.	Cross-sectional n = 291	50% girls Mean age 11.3 ± 1.2; range 9–13 years.	42.0a				In children, our data suggest that Adv36 may be associated with biomarkers implicated in inflammation but not with greater levels of fat mass.
Cakmakliogullari, 2014 [60]	Children were recruited from Celal Bayar University Hospital, Clinic of Pediatrics. Turkey.	Case-control n = 120	50% girls Age range 3–17 years	18.3d	26.6	10.0	<0.05	Our data support the association between obesity and the presence of specific antibodies to Adv36 in children.
Dušátková, 2015 [61]	Czech adolescents who were selected from the original Childhood Obesity Prevalence and Treatment project. The Czech Republic.	Cross-sectional n = 1027	53.7% girls. Age range 13.0–17.9 years.	26.4c				Results suggest that obesity susceptibility loci of PCSK1 and BDNF genes may be related to the status of Adv36 antibodies and consequently to body weight.
Karamese, 2015 [47]	Obese children referred to the pediatric endocrinology clinic and lean controls from the Pediatric Endocrinology Clinic at Ataturk University, Research and Application Hospital in Erzurum, Turkey.	Case-control n = 146	60.3% girls Age range 5-17 years	19.9c	27.1	6.0	<0.05	Adv36 may be an obesity agent for children.
Park, 2015 [62]	Korean boys were recruited and followed for 1 year from 2012 to 2013. South Korea.	Cohort n = 79	100% Boys 14 years old	21.5a				Results suggest that Adv36 infection is associated with an increase of adiposity, and the experience of Ad36 infection may affect the future fat gain of adolescents.
Zamrazilová, 2015 [63]	Obese girls in a weight management program were provided on an in-patient basis in a center specialized for children/adolescents within a period of 4 weeks. Prague, Czech Republic.	Quasi-experimental n = 184	100% girls Age range 13–17.9 years	35.3c				Energy restriction in Adv36 antibody-positive girls was associated with a greater decrease of abdominal obesity and preservation of subcutaneous fat tissue than in those antibodies negative
Kocazeybek, 2017 [64]	Serum samples from The Pediatric Endocrinology and Outpatient Polyclinics. From June 2014 to May 2015. Istanbul, Turkey.	Cross-sectional n = 133	49.6% girls Age range 7–17 years	7.5a	12.7	1.6	0.02	There is an association between Adv36 and obesity in children.
Tosh, 2017 [65]	Teenagers attending an adolescent clinic in Missouri, United States of America.	Cross-sectional n = 78	47.4% girls Mean age 15.6 ± 2.0; Age range 10–17 years	33.0c	43.9	21.6	0.038	More obese Missouri adolescents test positive for Adv36 antibodies than their healthy-weight peers, suggesting a correlation between Adv36 infection and obesity.
LaVoy, 2018 [66]	Participants were sampled from a group of middle school students participating in a healthy lifestyle intervention in an urban school in Houston, TX, United States of America.	Quasi-experimental n = 40	77.5% girls	70.0c	32.0			We report 70% seroprevalence of Adv36 among a population of urban Hispanic-American middle school students with a trend for an increased risk of obesity (OR = 1.4) among Adv36+ participants.

^aAdv36 determined by serum neutralization assay (SNA) method.

^bAdv36 determined by polymerase reaction chain (PCR).

^cAdv36 determined by enzyme-linked immunosorbent assay (ELISA).

^dAdv36 determined by microneutralization test (MEM).

The published works were based on studies conducted in different countries as follows: ten in the United States of America [36, 42, 53, 55, 57, 59, 65, 66, 69, 72], five in Turkey [46–48, 60, 64], four in Italy [37, 38, 41, 70], four in South Korea [40, 52, 54, 62], three in the Czech Republic [56, 61, 63], three in China [45, 50, 71], two in Sweden [39, 43], and one in each of the following countries: Poland [44], Mexico [58], Finland [49], Chile [51], in addition to one carried out jointly by Belgium and the Netherlands [68]. The geographical distribution of the conducted studies is presented in Fig. 2.

Fig. 2. Geographic distribution of the conducted studies.

POL Poland, MEX Mexico, FIN Finland, CHL Chile, BEL + NLD Belgium and Netherlands, SWE Sweden, CZE Czech Republic, CHN China, ITA Italy, KOR South Korea, TUR Turkey, USA United States of America.

Participants

The sample sizes of the reviewed studies ranged from 21 [70] to 1978 [39] among adults, and from 13 [55] to 1179 [56] among children and adolescents. A total of 10,300 adults aged 18–70 years and 4585 children and adolescents aged 3–18 years were assessed.

With regard to sample size ranges, four studies had fewer than 50 subjects [48, 55, 66, 70], seven had between 50 and 100 subjects [41, 44, 46, 52, 59, 62, 65], five had between 101 and 150 subjects [47, 53, 57, 60, 64], six had between 151 and 250 subjects [37, 38, 45, 51, 58, 63], six had between 251 and 500 subjects [49, 50, 54, 67, 69, 72], four had between 501 and 1000 subjects [36, 40, 68, 71], and five had a sample size above 1000 subjects [39, 42, 43, 56, 61].

Adv36 diagnosis

Regarding the diagnostic methods for Adv36, 21 studies used serum neutralization assay (SNA) [36–38, 40–44, 46, 48, 52–55, 57, 59, 62, 64, 67, 68, 72], 12 studies used enzyme-linked immunosorbent assay (ELISA) [39, 47, 49, 51, 56, 58, 61, 63, 65, 66, 69, 71] (one of which used PCR and serology concomitantly) [39], three studies used polymerase chain reaction assay (PCR) as the only diagnostic test [45, 50, 70], and one study used the microneutralization test for the diagnosis of Adv36 [60].

Adv36 prevalence and association with obesity

The weighted prevalence of Adv36 infection among adults was 22.9%, ranging from 5.5% [68] to 49.8% [71]. Among children and adolescents, the weighted prevalence was 28.9%, ranging from 7.5% [64] to 73.9% [58].

The prevalence of Adv36 among adults ranged from 5.7% [68] to 64.7% [37] (people with obesity or overweight) and from 0% [48] to 51.4% [71] (people with body mass index less than 25 kg/m²). Among children and adolescents, the prevalence ranged from 12.7% [64] to 63.6% [57] (people with obesity or overweight) and from 1.6% [64] to 51.6% [57] (people with normal weight).

There was statistical evidence of an association between Adv36 and body weight, obesity, and metabolic alterations in 31 studies [36–66]. However, no association was found between Adv36 and phenomena related to obesity in four studies [67–69, 72], and no mention was made in this regard in one study [70]. One of the studies showed an inverse correlation, i.e., Adv36 was a protective factor against obesity [71].

Discussion

Despite having been developed with a reasonable degree of bias control, as described by their authors, the studies presented in this systematic review showed intrinsic characteristics related to the method and focus. These peculiarities revealed the complexity of analyzing the data together. The most evident issues for an accurate analysis of the material were the great variability of study designs and sample sizes, in addition to different methods for classifying obesity and adiposity, or for the diagnosis of Adv36 and related alterations, besides the different age groups included in each survey, even in the same project.

The diagnosis of Adv36 infection can be based on the PCR [34, 78, 79]; virus culture in the affected tissue (nasopharynx or lower airway, blood, urine, feces, or adipose tissue, among others); [80] indirect evidence of infection by antibody detection (serology) [79, 81, 82]. The most commonly used serological tests are the ELISA or SNA. Although less sensitive than the ELISA, the PCR test is quite specific, given that the identification of viral DNA in adipose tissue will show strong evidence of previous Adv36 infection [79]. PCR tests are considered the gold standard for infection diagnosis. ELISA detects and measures anti-Adv36 antibodies in blood samples. It is used as a screening test because it is very sensitive; however, it can deliver false results [39]. If the result is positive, confirmation by PCR is suggested [79]. The SNA is less sensitive than the ELISA, but more specific [79, 81, 82]. The length of time of Adv36 infection may also interfere with the results of different diagnostic tests because antibodies may no longer be detectable after a long period of infection. For that reason, sometimes serological tests, such as ELISA or SNA, are more indicated for children, whereas PCR in adipose tissue will likely be more accurate for adults [83]. These characteristics may explain the variability in prevalence found in different studies. In addition to different diagnostic methods, there are socio-cultural differences because the study samples were collected from different geographical regions.

A study by Atkinson et al. [36] was the first to find evidence in humans of the association between Adv36 and obesity-related alterations in lipid profile. The study was conducted on American volunteers with or without obesity and on twins discordant for the infection with Adv36. There was a prevalence of Adv36-positive serology of 30% among subjects with obesity and 11% among subjects without obesity. They concluded that there was a strong association between Adv36 infection and obesity, in addition to significantly lower cholesterol and triglyceride levels in Adv36-positive individuals.

There was a relatively large time gap between the study published by Atkinson and the one by Trovato and colleagues [37] carried out in Italy in 2009. Both studies had a similar design and the same diagnostic methods. Trovato presented Adv36 positivity as high as 64.7% among subjects with obesity and 32.6% among subjects without obesity.

In the following year, five new works were published. Atkinson et al. [52] surveyed children with obesity in South Korean and found a prevalence rate of 30%, which was identical to that found in their first study in the United States, but without significant metabolic alterations. Gabbert [53] and Na [54] have reported a relationship between Adv36 and childhood obesity, with prevalence rates of 22.4% and 28.6% among subjects with obesity, and 7% and 13.6% among those without obesity, respectively. Trovato [38] studied Italians being monitored for non-alcoholic steatohepatitis (NASH) and found a prevalence of antibodies to Adv36 in 41.3% of the sample, of which 46.5% in patients without NASH and 32.3% in those with NASH. Further, the metabolic profile was better than in those who had antibodies to Adv36 compared to their counterparts.

Broderick [67] presented the first conflicting results to those previously described. He assessed American military personnel and found no relationship between Adv36 infection and obesity or metabolic alterations and, interestingly, he noticed a higher prevalence of antibodies to Adv36 in the group without obesity. It should be noted that obesity is a cause for removal from the military, which gives a great motivation to avoid any weight gain, suggesting that this was a selected population. Goossens [68], who conducted a study on patients from Belgium and the Netherlands, presented significantly divergent data by reporting a much lower prevalence than that of the previous studies (5.7% in the group with obesity and 3.9% in the controls). He found no relationship between Adv36 infection and obesity. An interesting fact was that no viral DNA was identified in the adipose tissue in 31 patients with severe obesity.

Almgren et al. [39] mixed several age groups and presented the first study using ELISA for Adv36 diagnosis. They reported an increase in the prevalence of Adv36 infection, which was around 7% in the 1990s and reached a significant 15–20% increase in the following decade, following the same trend as the growth of obesity. It is important to highlight that, if there is a longitudinal increase in the prevalence of Adv36, due to horizontal transmission, the development of immunoprophylaxis for Adv36 and/or the search for specific treatment should be a priority. Different methods of assaying for Adv36 make comparisons between studies and between countries somewhat difficult. ELISA is at least two times more sensitive than serum neutralization, so there may be a higher prevalence in those countries where the studies were done by serum neutralization. SNA is the most definitive if it is positive since it appears that Adv36 does not cross-react to antibodies to other adenoviruses and vice versa [84].

The analyzed literature shows a strong association of Adv36 with obesity or adiposity and with metabolic alterations, including a differentiated lipid profile and improved blood-glucose levels. Krishnapuram et al [34] demonstrated improved glycemic control in both animals and humans that were infected with Adv36.

Caution should be taken in interpreting the results of the studies that found no positive association, or just a weak association, between Adv36 and obesity because they may have been compromised by insufficient sample size or by obesity measurement bias [67, 69]. It is worth mentioning that Adv36 infection is only one of the possible causes of obesity since it is a multifactorial disorder. A paper by Lessan et al. from Abu Dhabi (not included in this review), reported that the prevalence of antibodies was higher than that found in most other countries and there was no correlation with obesity [84]. We know adenovirus antibodies disappear over time, and it is possible that some of the “negative” subjects, particularly in this country where there is such a high prevalence of Adv36, might actually have been infected in the past but their titer is now below the threshold to be called positive. This could affect the association of Adv36 and obesity since these cases would be misclassified. This is true for studies in all the countries [85].

In the period covered by this systematic review, three meta-analyses were published analyzing the relationship between Adv36 infection and human obesity and its metabolic alterations. In the first [86], the authors assessed ten studies and concluded that infection by Adv36 was associated with obesity. However, they did not find an association between Adv36 and changes in metabolic markers or increased abdominal circumference, which suggests that the infection may be associated with the accumulation of subcutaneous fat, but not with visceral fat. The second meta-analysis included 11 case-control studies, with a total of 2508 subjects with obesity and 3005 controls [85]. The study also identified the association between Adv36 infection and obesity, especially among children. The most recent meta-analysis reviewed 24 studies totaling 10,191 surveyed subjects, and the results showed that Adv36 infection increased the risk for obesity, in addition to increasing the risk for weight gain among adults [87]. However, none of the meta-analyses estimated the prevalence of Adv36 infection in humans, the main objective of the present study.

In 2018, Akheruzzaman et al. [88] conducted a systematic review of articles published in the last 25 years, since the first study that linked adenovirus with animal obesity [28]. They evaluated the different types of studies, including biochemical and cellular aspects. All works that involved human beings and assessed research evidence of contact with Adv36 and its association with adiposity or different mechanisms (hormones, metabolism, and cell physiology) were included in their systematic review. They found that most observational studies in humans, regardless of age, linked Adv36 infection to obesity and improvement in glycemic control.

In the current systematic review, we found studies conducted in several countries, with different age groups and focuses, most presenting results similar to those of the study by Atkinson [36]. However, they showed a significant variation for metabolic markers and even pronounced differences in the prevalence of Adv36. However, these studies had great heterogeneity in relation to the design, method of Adv36 diagnosis, age groups even in the same project, and, mainly, sample size.

In an article published in 2000, Hill [14] drew attention to the fact that, despite WHO having defined obesity as the major unaddressed global public health problem, affecting a large part of the population, there was still not enough commitment of policymakers and public health agents to consider this as a real threat to the health of Americans. At that time, obesity was theoretically considered a genetic-environmental problem, and the authors reasoned there should be an effort to change the environmental factors to overcome the problem. With the evidence that Adv36 is a very likely cause of obesity in humans, research into the development of vaccines to prevent Adv36-induced obesity and antiviral drugs to treat infected individuals has not been a priority and represents an unmet need.

Obesity leads to various health problems and poses restrictions and complications to the patient, including premature death [2, 4]. Recent literature shows different levels of evidence that Adv36 affects adiposity and causes metabolic alterations [26, 29–33, 76, 89–95].

Although experimental infection of animals has facilitated the understanding of the adipogenic effects of Adv36, intentional human exposure to the virus is not possible due to ethical restraints. Therefore, the evidence for Adv36 as an etiology of human obesity depends basically on observational studies.

Given the multifactorial condition of human obesity, it is hard to control bias when measuring the impact of each factor. In the reviewed studies, there was a high prevalence of Adv36 in all age groups, which exceeded 64% among adults and 73% among children and adolescents with obesity and/or metabolic disorders. The vast majority of the reviewed studies have shown a statistically significant association between Adv36 and obesity, adiposity, and related alterations, whereas only a few studies presented divergent results.

Research design, objectives, diagnostic methods, and sample sizes presented great variation in the reviewed studies, which prevented us from carrying out a meta-analysis that would include all the works published so far.

With regard to small samples, it should be noted that the cost is high to carry out the tests, which restricts research to small sample sizes. A major problem is that rapid, inexpensive, and reliable tests, such as the ELISA, are not commercially available. Since Adv36 potentially may be responsible for a significant percentage of human obesity, investigators, governments, foundations, and others should make developing better assays, vaccines, and antiviral drugs a priority in the fight against obesity.

Compliance with ethical standards

Conflict of interest

The authors declare no competing interests.