We assessed the performance of metagenomic next-generation sequencing (mNGS) in the diagnosis of infectious encephalitis and meningitis. Methods: This was a prospective multicenter study. Cerebrospinal fluid samples from patients with viral encephalitis and/or meningitis, tuberculous meningitis, bacterial meningitis, fungal meningitis, and non-central nervous system (CNS) infections were subjected to mNGS. Results: In total, 213 patients with infectious and non-infectious CNS diseases were finally enrolled from November 2016 to May 2019; the mNGS-positive detection rate of definite CNS infections was 57.0%. At a species-specific read number (SSRN) ≥2, mNGS performance in the diagnosis of definite viral encephalitis and/or meningitis was optimal (area under the curve [AUC] = 0.659, 95% confidence interval [CI] = 0.566-0.751); the positivity rate was 42.6%. At a genus-specific read number ≥1, mNGS performance in the diagnosis of tuberculous meningitis (definite or probable) was optimal (AUC=0.619, 95% CI=0.516-0.721); the positivity rate was 27.3%. At SSRNs ≥5 or 10, the diagnostic performance was optimal for definite bacterial meningitis (AUC=0.846, 95% CI = 0.711-0.981); the sensitivity was 73.3%. The sensitivities of mNGS (at SSRN ≥2) in the diagnosis of cryptococcal meningitis and cerebral aspergillosis were 76.92 and 80%, respectively. Conclusion: mNGS of cerebrospinal fluid effectively identifies pathogens causing infectious CNS diseases. mNGS should be used in conjunction with conventional microbiological testing.

Background: Mesenchymal stem cell (MSC)-derived extracellular vesicles (EVs) have been shown to have therapeutic potential for ischemic diseases and are considered an alternative to cell therapy. However, the low retention and poor stability of EVs post-transplantation in vivo remain obstacle prior to the clinical application of EVs. Methods: This study was designed to investigate whether collagen matrix could increase the retention and stability of EVs and further improve the therapeutic effects in murine acute kidney injury (AKI) model. EVs were isolated from human placental MSCs (hP-MSC-EVs) and encapsulated in a collagen matrix. Then, we investigated whether collagen matrix can prolong the retention of EVs in vivo, further enhancing the therapeutic efficiency of EVs in AKI. Results: Our results indicated that collagen matrix could effectively encapsulate EVs, significantly increase the stability of EVs, and promote the sustained release of EVs. Collagen matrix has improved the retention of EVs in the AKI model, which was proved by Gaussia luciferase (Gluc) imaging. The application of collagen matrix remarkably facilitated the proliferation of renal tubular epithelial cells in AKI compared with EVs alone. Moreover, collagen matrix could further augment the therapeutic effects of hP-MSC-EVs as revealed by angiogenesis, fibrosis and apoptosis, and functional analysis. Finally, we found that EVs play a therapeutic role by inhibiting endoplasmic reticulum (ER) stress. Conclusions: Collagen matrix markedly enhanced the retention of EVs and further augmented the therapeutic effects of EVs for AKI. This strategy for improving the efficacy of EVs therapy provides a new direction for cell-free therapy.

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