Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Acanthamoeba is an opportunistic pathogen that causes Acanthamoeba keratitis, granulomatous amoebic encephalitis, and other cutaneous diseases. The life cycle of Acanthamoeba consists of 2 stages of trophozoites and cysts. Under adverse environmental conditions, Acanthamoeba encysts, while the conditions become favorable for growth, it reverts to the trophozoite form. Acanthamoeba excystation is crucial for its proliferation and can lead to recurrent infections after incomplete treatment. To identify the factors involved in excystation, A. castellanii was subjected to either encystation- or excystation-inducing conditions, and gene expression profiles were compared using mRNA sequencing. A. castellanii samples were collected at 8 h intervals for analysis under both conditions. Differentially expressed gene analysis revealed that 1,214 and 1,163 genes were upregulated and downregulated, respectively, by more than 2-fold during early excystation. Five genes markedly upregulated in early excystation (ACA1_031140, ACA1_032330, ACA1_374400, ACA1_275740, and ACA1_112650) were selected, and their expression levels were confirmed via real-time PCR. Small interfering RNA (siRNA) targeting these 5 genes was transfected into Acanthamoeba and gene knockdown was validated through real-time PCR. The silencing of ACA1_031140, ACA1_032330, ACA1_374400, and ACA1_112650 inhibited excystation and suggested that these genes might be essential for excystation. Our findings provide valuable insights for suppressing Acanthamoeba proliferation and recurrence.

Acanthamoeba is an opportunistic pathogen that causes Acanthamoeba keratitis, granulomatous amoebic encephalitis, and other cutaneous diseases. The life cycle of Acanthamoeba consists of 2 stages of trophozoites and cysts. Under adverse environmental conditions, Acanthamoeba encysts, while the conditions become favorable for growth, it reverts to the trophozoite form. Acanthamoeba excystation is crucial for its proliferation and can lead to recurrent infections after incomplete treatment. To identify the factors involved in excystation, A. castellanii was subjected to either encystation- or excystation-inducing conditions, and gene expression profiles were compared using mRNA sequencing. A. castellanii samples were collected at 8 h intervals for analysis under both conditions. Differentially expressed gene analysis revealed that 1,214 and 1,163 genes were upregulated and downregulated, respectively, by more than 2-fold during early excystation. Five genes markedly upregulated in early excystation (ACA1_031140, ACA1_032330, ACA1_374400, ACA1_275740, and ACA1_112650) were selected, and their expression levels were confirmed via real-time PCR. Small interfering RNA (siRNA) targeting these 5 genes was transfected into Acanthamoeba and gene knockdown was validated through real-time PCR. The silencing of ACA1_031140, ACA1_032330, ACA1_374400, and ACA1_112650 inhibited excystation and suggested that these genes might be essential for excystation. Our findings provide valuable insights for suppressing Acanthamoeba proliferation and recurrence.

Acanthamoeba is an opportunistic pathogen that causes Acanthamoeba keratitis, granulomatous amoebic encephalitis, and other cutaneous diseases. The life cycle of Acanthamoeba consists of 2 stages of trophozoites and cysts. Under adverse environmental conditions, Acanthamoeba encysts, while the conditions become favorable for growth, it reverts to the trophozoite form. Acanthamoeba excystation is crucial for its proliferation and can lead to recurrent infections after incomplete treatment. To identify the factors involved in excystation, A. castellanii was subjected to either encystation- or excystation-inducing conditions, and gene expression profiles were compared using mRNA sequencing. A. castellanii samples were collected at 8 h intervals for analysis under both conditions. Differentially expressed gene analysis revealed that 1,214 and 1,163 genes were upregulated and downregulated, respectively, by more than 2-fold during early excystation. Five genes markedly upregulated in early excystation (ACA1_031140, ACA1_032330, ACA1_374400, ACA1_275740, and ACA1_112650) were selected, and their expression levels were confirmed via real-time PCR. Small interfering RNA (siRNA) targeting these 5 genes was transfected into Acanthamoeba and gene knockdown was validated through real-time PCR. The silencing of ACA1_031140, ACA1_032330, ACA1_374400, and ACA1_112650 inhibited excystation and suggested that these genes might be essential for excystation. Our findings provide valuable insights for suppressing Acanthamoeba proliferation and recurrence.

Acanthamoeba is an opportunistic pathogen that causes Acanthamoeba keratitis, granulomatous amoebic encephalitis, and other cutaneous diseases. The life cycle of Acanthamoeba consists of 2 stages of trophozoites and cysts. Under adverse environmental conditions, Acanthamoeba encysts, while the conditions become favorable for growth, it reverts to the trophozoite form. Acanthamoeba excystation is crucial for its proliferation and can lead to recurrent infections after incomplete treatment. To identify the factors involved in excystation, A. castellanii was subjected to either encystation- or excystation-inducing conditions, and gene expression profiles were compared using mRNA sequencing. A. castellanii samples were collected at 8 h intervals for analysis under both conditions. Differentially expressed gene analysis revealed that 1,214 and 1,163 genes were upregulated and downregulated, respectively, by more than 2-fold during early excystation. Five genes markedly upregulated in early excystation (ACA1_031140, ACA1_032330, ACA1_374400, ACA1_275740, and ACA1_112650) were selected, and their expression levels were confirmed via real-time PCR. Small interfering RNA (siRNA) targeting these 5 genes was transfected into Acanthamoeba and gene knockdown was validated through real-time PCR. The silencing of ACA1_031140, ACA1_032330, ACA1_374400, and ACA1_112650 inhibited excystation and suggested that these genes might be essential for excystation. Our findings provide valuable insights for suppressing Acanthamoeba proliferation and recurrence.

Acanthamoeba is an opportunistic pathogen that causes Acanthamoeba keratitis, granulomatous amoebic encephalitis, and other cutaneous diseases. The life cycle of Acanthamoeba consists of 2 stages of trophozoites and cysts. Under adverse environmental conditions, Acanthamoeba encysts, while the conditions become favorable for growth, it reverts to the trophozoite form. Acanthamoeba excystation is crucial for its proliferation and can lead to recurrent infections after incomplete treatment. To identify the factors involved in excystation, A. castellanii was subjected to either encystation- or excystation-inducing conditions, and gene expression profiles were compared using mRNA sequencing. A. castellanii samples were collected at 8 h intervals for analysis under both conditions. Differentially expressed gene analysis revealed that 1,214 and 1,163 genes were upregulated and downregulated, respectively, by more than 2-fold during early excystation. Five genes markedly upregulated in early excystation (ACA1_031140, ACA1_032330, ACA1_374400, ACA1_275740, and ACA1_112650) were selected, and their expression levels were confirmed via real-time PCR. Small interfering RNA (siRNA) targeting these 5 genes was transfected into Acanthamoeba and gene knockdown was validated through real-time PCR. The silencing of ACA1_031140, ACA1_032330, ACA1_374400, and ACA1_112650 inhibited excystation and suggested that these genes might be essential for excystation. Our findings provide valuable insights for suppressing Acanthamoeba proliferation and recurrence.