Letter to the editor:
There are currently hundreds of genetic variants associated with schizophrenia (SZ) through genome-wide association (Buniello et al., 2019) such that it is critical to consider SZ risk genetics in the context of brain developmental and mature functional properties as well as in molecular signaling pathways. One putative risk allele has been identified in the 3′ untranslated region of claudin-5 (CLDN5 (Greene et al., 2018);), a tight junction protein that contributes to blood-brain barrier (BBB) integrity (Abbott et al., 2006). CLDN5 is located in the region of hemizygous deletion in the 22q11.2 deletion syndrome (22qDS). SZ risk is greatly elevated in 22qDS; with most studies finding this risk increases roughly 25-fold to at least 25% (Gothelf et al., 1999; Hoeffding et al., 2017; Murphy et al., 1999; Schneider et al., 2014; Van et al., 2017) and see Vangkilde et al. (2016). The CLDN5 variant rs10314 was associated with decreased claudin-5 expression, and was present in the remaining 22q11.2 region in 9 of 15 22qDS subjects with SZ, but only 8 of 44 22qDS subjects without SZ (X2 P < 0.04) (Greene et al., 2018).
To determine whether this association stands with an independent and larger sample, we evaluated whole genome sequencing data of 490 22qDS patients from the 22q11 International Brain and Behavior Consortium (22q11-IBBC (Mlynarski et al., 2016);) aligned to Hg38. Genotyping at the CLDN5 variant site had high depth (17.4 X in average). As expected no heterozygosity was detected within the 22q11.2 deleted region.
We performed Chi squared test on the entire dataset, and binned by sex. The Pearson two-sided X2 P values are 0.273 (both), 0.797 (male) and 0.053 (female). The marginal p value for the female group suggests a potential sex bias of the rs10314 variant within this larger cohort (n = 490) (see Table 1).
Table 1.
Male |
Female |
Both sexes |
|
---|---|---|---|
rs10314/total/% | rs10314/total/% | rs10314/total/% | |
Control | 12/90/13.3 | 15/148/10.1 | 27/238/11.3 |
SZ-Case | 14/126/11.1 | 23/126/18.3 | 37/252/14.7 |
The 22qDS is one of the strongest risk factors for SZ (Schneider et al., 2014; Van et al., 2017), and clinical manifestations do not patently differ from non-syndromic SZ in terms of prodromal course, age of onset, symptoms, response to treatment or brain morphometry (Bassett et al., 2003; Butcher et al., 2015; Sun et al., n.d.). Our study suggests that a weak association of rs10314 with SZ in 22qDS is female sex dependent. In addition to the cited study (Greene et al., 2018), weak associations between rs10314 and non-syndromic SZ have been found in Han Chinese (n = 176) (Sun et al., 2004), and Iranian populations (n = 150) (Omidinia et al., 2014). None of those studies considered sex as a variable.
So how might a variant that decreases claudin-5 expression increase risk of SZ in females only? Such increase risk might result from reduced BBB integrity interacting with peripheral inflammation (Cheslow and Alvarez, 2016; Kipnis, 2016). Enhanced levels of inflammatory cytokines such as IL-6 have been reported in SZ (Frommberger et al., 1997; Upthegrove et al., 2014) as well as in 22qDS (Mekori-Domachevsky et al., 2017), and IL-6 itself can reduce claudin-5 expression (Cohen et al., 2013). Neuroimmune disorders such as multiple sclerosis, neuromyelitis optica and brain lupus are more common in women than men (Asgari et al., 2011; Cervera et al., 1993; Willer et al., 2003) suggesting that reduced BBB integrity could interact with a female predisposition for neuroinflammation resulting in psychosis. While SZ is a highly heterogenous disorder, neuroinflammatory contributions to neuropathology in SZ have long been implicated (Muller, 2018). Based on our study, further evaluations of potential links between the BBB, mediators of neuroinflammation, and female sex are warranted.
Acknowledgments.
The National Institute of Health (NIH) of the United States has supported this work by the following grants NIMH U01MH087626 and U01MH101719 (REG), NIMH 5R01MH110185-03 (SAA) and NINDS 5K01NS097519-03 (JIA).
Footnotes
Declaration of competing interest
The authors have no financial relationships with commercial interests to report.
Contributor Information
Yiran Guo, Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, United States.
Larry N. Singh, Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, United States
Yuankun Zhu, Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, United States.
Raquel E. Gur, Department of Psychiatry, The Children’s Hospital of Philadelphia (CHOP) and the University of Pennsylvania, United States
Adam Resnick, Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, United States.
Stewart A. Anderson, Department of Psychiatry, The Children’s Hospital of Philadelphia (CHOP) and the University of Pennsylvania, United States
Jorge I. Alvarez, Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, United States.
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