Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers of alterations in nerve tissue repair (SPON-1 and NFASC) were elevated in those with cognitive impairment and SCG3, suggestive of brain–gut axis disturbance, was elevated in gastrointestinal symptoms. Severe acute respiratory syndrome coronavirus 2-specific immunoglobulin G (IgG) was persistently elevated in some individuals with long COVID, but virus was not detected in sputum. Analysis of inflammatory markers in nasal fluids showed no association with symptoms. Our study aimed to understand inflammatory processes that underlie long COVID and was not designed for biomarker discovery. Our findings suggest that specific inflammatory pathways related to tissue damage are implicated in subtypes of long COVID, which might be targeted in future therapeutic trials

Predicting pharmacokinetic herb-drug interactions.

In vitro and in vivo studies have indicated that the induction or inhibition of cytochrome P450 (CYP) is one of the major mechanisms for some clinically important pharmacokinetic herb-drug interactions. Thus, an attempt was made to predict pharmacokinetic herb-drug interactions using the pharmacokinetic principles that are used for predicting drug-drug interactions. The expected AUC ratio was mainly dependent on unbound herbal inhibitor concentration ([I]) and inhibition constant (Ki), hepatic fraction (fh), number of inhibitory herbal constituents (n) and metabolic pathway fraction in hepatic metabolism (fm). Herb-drug interactions would be with low risk if sigma(i=1)n [[Ii]/Ki(i)] is less than 0.1, medium risk if it is between 0.1 and 1.0, and high risk if it is greater than 1. For high clearance drugs, the change of fh x fm had minor influence on AUC ratio when sigma(i=1)n [[Ii]/Ki(i)] values were fixed. Similarly, fm did not affect the AUC ratio for low clearance drugs. It appeared likely to predict a herb-drug metabolic interaction when [I], Ki, fh, fm and n could be determined. However, many herb- and drug-related factors may cause difficulties with the prediction, and well-designed human studies are always necessary

Improved metastasis-free survival in nonadjuvantly treated postmenopausal breast cancer patients with chemokine receptor 5 del32 frameshift mutations

The CC-chemokine receptor CCR5 has been associated with cancer progression and metastasis. CCR5 blockers such as Maraviroc are tested in metastatic cancer patients. A mutant allele of CCR5, CCR5-delta32 (CCR5del32), which encodes for a protein with a trans-dominant negative effect on the wildtype protein, is frequently found in populations of northern European origin. We set out to determine if the CCR5del32 genotype is associated with progression of breast cancer. Here, we genotyped 414 breast cancer patients and investigated whether the CCR5 genotype had an association with the likelihood to metastasize within specific subgroups of this cohort. The findings were subsequently confirmed in an independent cohort of 1,017 breast cancer patients. Specifically within the postmenopausal subgroup of the initial cohort (n = 325) individuals carrying the CCR5del32 genotype exhibited a significantly longer metastasis-free survival (MFS, p = 0.038). In an independent cohort, CCR5del32 genotype was confirmed to be associated with prolonged MFS only in postmenopausal patients (n = 579, hazard ratio [HR] = 0.61, 95% confidence interval [95% CI] = 0.38-0.99, p = 0.044), and not in premenopausal patients (n = 438, HR = 1.01, 95% CI = 0.70-1.48, p = 0.94). Our results indicate that CCR5del32 genotype is associated with good prognosis in postmenopausal breast cancer patients. Considering this result, postmenopausal breast cancer patients who are wildtype for CCR5 genotype might benefit from CCR5 blockers, such as Maraviroc