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 Infectious Disease and Neurocognition
health problem, while T.b. gambiense was now targeted for elimination of trans- mission. e main impediment to achieving the latter goal would be the cryptic reservoirs, which are those with latent infection, and other factors such as fur­ther integration of HAT surveillance and control into national health systems, the availability of skilled health workers, the development of more ecient sys­tems and the right tools, and the funding and coordination of elimination eorts (Franco et al., 2022).
Currently, no vaccine or prophylactic drug exists to ght against HAT (Table
15.2), and the preventive measures basically aim to avoid or reduce contact with in­fected tsetse ies (Table 15.3).
In Central Africa, HAT control is carried out routinely in Cameroon, the Central African Republic, Chad, Congo, Equatorial Guinea, and Gabon. e number of reported cases in Cameroon is not stable and uctuates over the years, and this is the result of variations in the intensity of control and surveillance activities. For ex­ample, there was a reduction in these activities in 2020 compared to 2019 due to the Covid- 19 pandemic (Franco et al., 2022).
In 2019 and 2020, targeted vector control activities against T.b. gambiense HAT were implemented by the National Sleeping Sickness Control Program (NSSCP) and research institutes in selected endemic areas of Cameroon, Chad, Côte d’Ivoire, the Democratic Republic of Congo, Guinea, and Uganda. Vector control activities are also carried out by the NSSCP in Angola. Vector control reduced tsetse y density in targeted areas and helped curb HAT transmission.
Although enormous progress has been made to better understand HAT, gaps re­main in our limited knowledge, and large- scale experiments are carried out in order to ll them, the main area of uncertainty being the unpredictable pattern of disease presentation from one individual to another.
e clinical manifestations of HAT have been documented in the research litera­ture, but there remain scanty data on the long- term complications of this condition. It is important to study the neuropsychological and other somatic complications of this pathology.
Table 15.3 Preventive measures against HAT
Author Measure
WHO and CDC • Early detection of infected individuals, with clinical evaluation and
screening tests for at- risk populations, with attention to asymptomatic cases
• Health education, covering all inhabitants of at- risk areas and travelers
Alam et al. (2011) Vector control through traps, individual protection, and mass reduction of the
vector community of symbiotic bacteria of the genera Wolbachia, Sodalis, or Wigglesworthia, essential to y survival.
Abbreviations: CDC, Centers for Disease Control and Prevention; WHO, World Health Organization.
Human African Trypanosomiasis 239
Findings from biological models
Biological models are experimental procedures that imitate aspects of human tissue function or disease. Biological models are used in research to study specic biolog­ical processes. eir genetic characteristics are similar to those of human beings and are commonly used in research elds such as genetics, developmental biology, and neuroscience. Model organisms tell us a lot about biological systems at the organ and system, tissue, and cellular level.
Mouse models are widely used in biomedical research to study disease progres­sion and in the development of new drugs. ese have been challenging issues for Trypanosoma and especially for T.b. gambiense as the form isolated from infected patients does not cause infections in rodents (Giroud et al., 2009). As T.b. gambiense can only propagate in certain rodents such as immunocompromised mice or spe­cic rodent species, experimental models are therefore limited to only subacute or chronic infections, thus limiting in vivo studies of this pathology. It is in this spirit that the researchers therefore isolated dierent strains of T.b. gambiense from HAT patients and adapted them to in vivo culture conditions (Giroud et al., 2009). is allowed researchers to describe dierent pathological processes similar to those seen in humans. Since trypanosomiasis is a pathology that still conceals many mysteries, particularly regarding its neuropathology, being able to observe its evolution more closely will undoubtedly lead to gigantic advances in the diagnosis and management of this disease.
Ever since the articial growth of T. brucei was made possible, exploring the path- ogenesis of HAT has become less problematic for scientists. e sleep disturbance characteristic of the disease were found to be due to the crossover of the BBB by
Ferreira et al., 2020). Since in human beings the neurological symptoms do not ap­pear until later in the course of the disease, it was common knowledge that parasite crossover of the BBB occurred much later too.
However, this information has been challenged and contradicted recently in Uganda, where in some cases of T.b. rhodesiense, it was noted that the neurological signs expected in the second phase of the disease appeared much earlier at the same time as the symptoms and signs of the rst phase, thus demonstrating that there may not be a direct link between the stage of evolution, neurological signs of infection, and neuroinammatory responses in T.b. rhodesiense HAT (Maclean et al., 2010).
During experiments in mouse models, parasites were detected only a few hours aer infection in the brain parenchyma using intravital brain imaging, with minimal to no inammation. Additionally, increased parasitaemia was associated with greater microvascular inammation but not with neurological manifestations (Frevert et al.,
2012). Nevertheless, this study was limited as there was no histological evidence that the parasites were actually present in the brain parenchyma as they could have been present in the choroid plexus as previously proven but not in the neuropil (Laperchia
 Infectious Disease and Neurocognition
et al., 2016). In the same vein, evidence of the presence of trypanosomes in the neu­ropil was found later but aer the appearance of neurological signs, the main one here being the appearance of SOREM episodes thus indicating that SOREM periods cannot provide a biomarker per se of the second stage of sleeping sickness, but a high frequency of these sleep changes may be an indicator of this stage (Laperchia et al., 2016).
e WHO has developed a staging system based on CSF analysis: rst stage— absence of trypanosomes and ve or fewer white blood cells/ mm3 in the CSF; second stage— presence of trypanosomes and/ or more than ve white blood cells/ mm3 in the CSF (Njamnshi et al., 2017). However, as shown above, the parasites invade the choroid plexus early on during the infection and thus invade the CSF.
erefore, new techniques need to be explored and new diagnostic criteria de­ned that will be more specic in the staging of HAT as management depends on accurate staging. In this optic, several hypotheses have been listed to explain the mechanism by which parasites cross the BBB, including transcellular (Masocha & Kristensson, 2012; Mulenga et al., 2001) and paracellular (Grab & Kennedy, 2008; Grab et al., 2004; Nikolskaia et al., 2006) approaches. Biological models of the human BBB constructed from human cerebral microvascular endothelial cells cultured on Costar Transwell inserts were developed and used in vitro to fur­ther investigate the mechanisms by which T.b. gambiense crosses the BBB (Grab et al., 2004). us, it was nally proven that the entry of the parasite into the BBB is modulated by both transcellular and paracellular mechanisms occurring con­secutively combining the actions of signaling pathways and parasite- associated proteases and hydrolases (Nikolskaia et al., 2006). However, the molecular actors involved in parasite- induced signaling and BBB crossover are still currently un­known (Nikolskaia et al., 2006).
Following the same vein, biomarkers found either in blood or CSF have been the target of several experiments in order to nd more reliable diagnosis and staging methods. Not long ago, immunoglobulins, cytokines such as interleukin- 10, and chemokines such as CXCL10 and CXCL1312 were found to be useful biomarkers (Amin et al., 2010). In a recent literature review (Ngay et al., 2019), it has been stated that:
• CSF white blood cell count with a dened cut- o value most accurately assesses
treatment outcome.
• Intrathecal immunoglobulin M synthesis is a specic and sensitive param-
eter for the detection of CNS involvement in HAT cases caused by T. brucei gambiense.
• Decreasing trypanosome- specic antibody concentrations in CSF could be a
good parameter for denitive cure.
• Elevated levels of interleukin- 10 in the CSF during treatment follow- up indicate
recurrent CNS inammation and treatment failure.
Human African Trypanosomiasis 241
• An increase in neopterin in the CSF and the presence of trypanosome- spliced leader RNA in the blood have high potential as predictors of treatment failure but require further validation.
However, in resource- limited countries, such as the ones which are the most aected by HAT, the use of these biomarkers as a diagnosis or even a staging tool would be a huge challenge. us, Njamnshi and colleagues have shown in a study that actigraphy— a non- invasive method of monitoring human rest/ activity cycles— could be used to evaluate clinical evaluation and monitoring in HAT (Njamnshi et al., 2012). Moving forward, they demonstrated the ecacy of this method in HAT staging during a pilot study. In this study, actigraphy sleep scores ranged from 67 to
250. Healthy individuals had scores ranging from 0 to 25, those in the early stage of HAT from 67 to 103, those in the intermediate stage ranged from 111 to 126, and late- stage patients ranged from 133 to −250 (Njamnshi et al., 2020). Nevertheless, further investigations with bigger sample sizes are needed in order to project these results to the general population.
Conclusion
e main neuropsychiatric manifestations of HAT include sleep disturbances, mental/ neuropsychiatric disturbances, and sensory and motor disturbances. Even though the second stage of HAT owes its name to the appearance of neurological signs, the pathogenesis of the neurological involvement associated with HAT re­mains incompletely understood, which is all the more important since the treatment is based precisely on the staging of the disease. anks to the eorts of the WHO, we can now see the end of the tunnel when it comes to the total eradication of this di­sease. On the other hand, we must not rest on our laurels because with this progress; new discoveries are also made, such as the possibility of the skin being a reservoir of the parasite (Capewell et al., 2016) and thus slowing down its eradication. More ef­fort would therefore be needed to explore cheaper methods such as the Actigraphy Sleep Score (Njamnshi et al., 2020) in disease stratication but also new, less toxic molecules for treatment and why not a vaccine?
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16
Associations Between T oxocara and
Neurocognitive Function
Celia V. Holland
Introduction
Human toxocariasis remains a neglected disease despite its global distribution. It is a classic zoonotic infection enhanced by a worldwide association between humans and their domestic pets, especially dogs and cats. Given increasing urbanization, which is likely to increase human– animal contact, and climate change that will en­hance egg survival in the environment, human beings will continue to be exposed to this ubiquitous helminth infection. One might ask the question— why so neglected? One explanation relates to how infection is manifested in the human body. Because only larval toxocariasis infection occurs in humans, it is not easy to detect the para­site; by contrast, in other soil- transmitted helminths eggs or larvae are present in the feces. Central to diagnosis is serology, a method by which only exposure to To x oc a ra can be identied. Furthermore, the relationship between exposure and disease re­mains very poorly understood. ese challenges are at their most manifest when it comes to cerebral toxocariasis, where To xo c ar a larvae are able to enter and survive in the human brain (Fan et al., 2015).
Recently, several authors have highlighted the neglected status of toxocariasis (Holland, 2017; Hotez & Wilkins, 2009), and the United States Centers for Disease Control and Prevention has included toxocariasis among ve parasitic diseases that aict the population in the United States and are deemed to be neglected. Peter Hotez (2014) has explicitly stated that such infections may, at least in part, account for the achievement gap found among socioeconomically disadvantaged students. Evidence for the link between poverty and toxocariasis is now quite clear (Congdon & Lloyd, 2011; Erickson et al., 2015; Sharghi et al., 2001). However, we must also consider the signicant granularity in To x oc a ra exposure. Even aer allowing for the elevated risk associated with poverty, ethnicity can still play an important role in explaining increased risk of exposure (Congdon & Lloyd, 2011). Hotez (2008) speculated that this elevation might reect dierential contextual exposures linked inter alia to ethnic residential clustering and segregation, as distinct from the impact of family poverty per se.
Celia V. Holland, Associations Between Toxocara and Neurocognitive Function In: Medicine
DOI: 10.1093/ oso/ 9780192870414.003.0017
Toxocara 245
In this chapter, I briey outline the biology and epidemiology of toxocariasis before focusing upon cerebral toxocariasis and the evidence for the impact of tox­ocariasis on neurocognitive function in humans. I also demonstrate how animal models can enhance our understanding of the possible mechanisms behind such eects.
Biology and epidemiology of T oxocara
To xo c ar a species (family: Toxocaridae) adult worms infect a wide range of do­mestic and feral denitive hosts. Toxocara canis (T. c an is ) infects domestic dogs (O’Lorcain, 1994), foxes (Roddie et al., 2008), wolves (Segovia et al., 2001), and coyotes (Wapenaar et al., 2013). Toxocara cati (T. ca ti ) infects cats and other felids (Maciag et al., 2022). A related species also in the Toxocaridae family, Toxascaris le- onine, can infect both dogs and cats (Miyazaki, 1991). Highly fecund adult worms release resistant eggs into the environment (Mizgajska- Wiktor & Uga, 2006). Under certain conditions of temperature and moisture, eggs can undergo development, embryonate, and become potentially infective. In a recent systematic review and meta- analysis of the prevalence of To x oc ar a eggs in public places, Fakhri et al. (2018) revealed a global prevalence of 21 percent, with a range of 13– 35 percent depending upon the World Health Organization region. A relationship between a higher prev­alence and high relative humidity was also observed. Furthermore, in a subsequent analysis, Rostami et al. (2019) revealed a non- signicant but upward trend in sero­prevalence values as environmental contamination with Tox o ca ra eggs increased.
Human toxocariasis
To xo c ar a eggs can infect a wide range of paratenic hosts including humans (Holland & Hamilton, 2006). e main routes of transmission are through the ingestion of embryonated eggs from soil or soil- contaminated hands, food, or utensils. Organs from paratenic hosts can be consumed by humans, and undercooked bovine beef liver has been implicated in human infection (Yoshikawa et al., 2008). To xo ca r a larvae have also been found to survive and persist in the tissues of experimentally infected chickens even at low temperatures (Taira et al., 2011, 2012). More recently, another potential source of infection has been identied with the discovery of the presence of Tox o ca ra eggs on the hair of domestic denitive hosts such as dogs and cats. However, based upon the available evidence, there is a low risk of transmis­sion associated with the very low numbers of embryonated eggs found on hair (e.g., Keegan & Holland, 2010), but the suitability of hair as a medium for oval develop­ment should not be ignored (Holland, 2017).
In paratenic hosts, eggs do not develop to adulthood but remain as third- stage larvae that migrate within the tissues and can enter organs such as the eye and the
 Infectious Disease and Neurocognition
brain (Strube et al., 2020). As a consequence, diagnosis of human toxocariasis can prove challenging. e direct detection of Tox o ca r a larvae in a histological sec­tion is rarely performed (Smith et al., 2009). e main diagnostic tool is there­fore serology— the detection of To xo ca r a- specic antibodies in the sera— utilizing the excretory– secretory products released from in vitro- maintained second- stage larvae— but the diagnostic sensitivity and specicity can vary (Rostami et al., 2019; Smith et al., 2009). Furthermore, and importantly, it is still not possible to distin­guish between dierent Tox o ca ra species serologically, a knowledge gap that remains fundamentally problematic and limits our understanding of To x oc a ra epidemiology (Holland, 2017).
Seroprevalence
A recent global analysis estimated that the worldwide seroprevalence of To xo c ar a species was 19 percent, with seroprevalence being highest in the African region (35 percent) and lowest in the Eastern Mediterranean region at 8.2 percent (Rostami et al., 2019). Statistically signicantly higher Tox oc ar a seroprevalence was associated with lower national income, lower human development index, lower latitude, higher humidity, and higher temperature and rainfall. Potential risk factors included young age, male sex, living in a rural area, close contact with dogs, cats, or soil, consump­tion of raw meat, and drinking of untreated water.
Disease syndromes
At present, four clinical syndromes associated with human toxocariasis have been described. ese are visceral larva migrans (Beaver et al., 1952), ocular toxocariasis (Shields, 1984), covert toxocariasis (Taylor et al., 1988), and cerebral toxocariasis or neurotoxocariasis (Finsterer & Auer, 2007), sometimes referred to as neural larva migrans. ere is no doubt that challenges remain in linking these syndromes to specic symptoms or clinical features because these are nonspecic in nature (Smith et al., 2009). However, cerebral toxocariasis remains the most cryptic of the four syn­dromes (Holland, 2017).
Cerebral toxocariasis
Clinical and imaging findings associated with cerebral toxocariasis
Cerebral toxocariasis was rst described in an autopsy study of a child in whom a larva was found in the le thalamus (Beautyman & Woolf, 1951). Initially this larva
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was identied as Ascaris, but aer the work of Nichols (1956), it was correctly iden- tied as a larva of T. ca ni s (Beautyman et al., 1966). One key question that can be posed is the public health signicance of the presence of what are likely to be small numbers of larvae in a human brain. However, in some cases, the impact of cerebral infection can be profound. For example, Vidal et al. (2003) described the symptoms of eosinophilic meningitis in a 2- year- old boy and included mental confusion, fever, headache, tachycardia, hyperreexia, dyspnea, lethargy, irritability, motor weak­ness, and nuchal rigidity. Toxocara- specic immunoglobulin G antibodies were de- tected in both cerebrospinal uid (CSF) and serum and most symptoms declined in response to treatment with albendazole and corticosteroids. Many infections may go undiagnosed as a consequence of being asymptomatic or manifest as nonspecic behavioral alterations.
In a systematic review of neurotoxocariasis conducted between 1951 and 2015, a total of 100 cases were retrieved from the published literature (Deshayes et al.,
2016). Most of the cases were middle- aged men, with 60 percent manifesting my­elitis, 47 percent encephalitis, and 29 percent meningitis. Brain imaging investiga­tions revealed an abnormal computed tomography scan in 65.2 percent of the cases, an abnormal magnetic resonance imaging scan in 57.4 percent of the cases, and an abnormal medullary magnetic resonance imaging scan in 92 percent of the cases. Furthermore, in patients with encephalitis, brain computed tomography revealed multiple subcortical, cortical, and white matter circumscribed hypodense lesions, and brain magnetic resonance imaging demonstrated hypointense lesions on TI­weighted sequences and hyperintense lesions on T2- weighted sequences.
In a similar approach, Sanchez et al. (2018) undertook a systematic review of ce­rebral toxocariasis diagnosed by magnetic resonance imaging that yielded 34 cases of cerebral toxocariasis. A wide range of clinical manifestations were described, in­cluding headache, seizures, focal decits, confusion, and cognitive impairment. An impressive range of case denitions and diagnostic evaluations were reported, and the authors concluded that magnetic resonance imaging ndings can only be de­scribed as suggestive and certainly not specic to cerebral toxocariasis. Of interest was that biopsy was performed in only six cases, and, of these, two yielded detectable To xo c ar a larvae, which underlines the challenge of diagnostic certainty.
Diagnosis of cerebral toxocariasis
Diagnosis of cerebral toxocariasis remains even more challenging than that of tox­ocariasis in general because of the non- specicity of symptoms and the lack of con­rmatory tests. It is likely that because of the levels of seroprevalence previously described, that neuronal involvement of toxocariasis is cryptic and signicantly underdiagnosed. Diagnosis is based upon serology and characteristics such as eo­sinophilia, but also requires brain imaging ndings utilizing both computed tomog­raphy and magnetic resonance imaging (Sanchez et al., 2018). As summarized by