Myalgic encephalomyelitis (ME) is a complex and debilitating disease that often initially presents with flu-like symptoms, accompanied by incapacitating fatigue. Currently, there are no objective biomarkers or laboratory tests that can be used to unequivocally diagnosis ME; therefore, a diagnosis is made when a patient meets series of a costly and subjective inclusion and exclusion criteria. The purpose of the present study was to evaluate the utility of four clinical parameters in diagnosing ME. In the present study, we utilized logistic regression and classification and regression tree analysis to conduct a retrospective investigation of four clinical laboratory in 140 ME cases and 140 healthy controls. Correlations between the covariates ranged between [− 0.26, 0.61]. The best model included the serum levels of the soluble form of CD14 (sCD14), serum levels of prostaglandin E2 (PGE2), and serum levels of interleukin 8, with coefficients 0.002, 0.249, and 0.005, respectively, and p-values of 3 × 10−7, 1 × 10−5, and 3 × 10−3, respectively. Our findings show that these parameters may help physicians in their diagnosis of ME and may additionally shed light on the pathophysiology of this disease.

Autism spectrum disorders (ASD) are severe heterogeneous neurodevelopmental disorders characterized by dysfunctions in social interaction and communication skills, repetitive and stereotypic verbal and nonverbal behaviors. Published findings have identified widespread changes in the immune systems of children with autism, at the systemic and cellular levels, suggesting that autism may, in fact, be a systemic disorder with connections to abnormal immune responses. Evaluating autism is hindered by a lack of specific biomarkers, making these pathologies difficult to diagnose. A critical priority for the future of ASD management is the identification of potential targets for the development of diagnostic and therapeutic strategies. The purpose of this brief report is to raise awareness regarding the involvement of different inflammatory processes in ASD and the need to assess them as a part of a biomedical evaluation. An extensive analysis of biomarkers relating to inflammation, immune dysfunctions, intestinal dysfunctions and infections will assist in the management of the autistic patient through a more personalized therapy.

The neurological and neuropsychiatric manifestations of long COVID remain incompletely understood. Reactivation of latent herpesviruses has been proposed as a contributing mechanism, but human herpesvirus 7 (HHV-7) has received limited attention despite its neurotropic potential. We conducted a retrospective analysis of HHV-7 polymerase chain reaction (PCR) results in 30 patients (18 women and 12 men; age range, 21–55 years) with a neurological/neuropsychiatric long COVID phenotype tested within 24 months of SARS-CoV-2 infection at R.E.D. Laboratories SA, Belgium. HHV-7 positivity was compared with a historical pre-COVID-19 laboratory reference cohort comprising 320 diagnostic tests performed from 2012 to 2019. HHV-7 positivity was 29.1% (93/320; 95% CI, 24.4–34.3%) in the historical reference cohort and 76.7% (23/30; 95% CI, 59.1–88.2%) in the neurological/neuropsychiatric long COVID cohort. The between-cohort difference was significant using a two-sided Fisher’s exact test (p < 0.000001). All six patients tested within the first 12 months were HHV-7-positive. HHV-7-positive patients frequently reported neuropsychiatric symptoms, and in one longitudinal index case, viral load tracked self-reported symptom severity. In this patient-initiated retrospective study, HHV-7 positivity was substantially more frequent in the long COVID cohort than in the historical reference cohort. These findings are hypothesis-generating and support prospective investigation of HHV-7 in neurological and neuropsychiatric long COVID.