MicroRNAs　(miRNAs)　are　a　class　of　endogenous　and　non-coding　single-stranded　RNAs　with　length　of　about　22　nucleotides,　and　many　are　evolutionarily　conserved.　Although　postmortem　brain　samples　provide　direct　evidence　of　miRNA　dysregulation　within　the　brain,　peripheral　tissue　samples　can　be　obtained　from　living　subjects　and　have　the　potential　to　yield　biomarkers　that　could　be　used　as　diagnostic　tools.　To　verify　and　detect　additional　miRNAs　differentially　expressed　in　peripheral　blood　and　further　explore　their　diagnostic　value　and　function　for　schizophrenia,　we　performed　a　next-generation　sequencing　approach　in　combination　with　a　literature　search　to　select　appropriate　miRNAs.　We　then　used　real-time　quantitative　polymerase　chain　reaction　(RT-qPCR)　to　identify　miRNAs　expressed　aberrantly　in　schizophrenia.　Binary　regression　analysis　identified　miR-22-3p,　miR-92a-3p,　and　miR-137.　Analysis　of　receiver　operating　characteristics　(ROC)　indicated　that　these　three　miRNAs　could　be　used　in　combination　as　a　biomarker　for　schizophrenia.　Bioinformatic　analyses　of　these　genes　and　gene　ontology　(GO)　enrichment　revealed　that　the　combination　of　miR-22-3p,　miR-92a-3p,　and　miR-137　was　closely　associated　with　synaptic　structure　and　function,　which　play　important　roles　in　the　etiology　and　pathophysiology　of　schizophrenia.