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Johnson, S.

Mayo Clinic

Mayo Clinic

Citations 6

Fibular Mononeuropathy From Weight Loss Associated With GLP-1 Receptor Agonist Use (P3-9.001)
Farris, Jacob, Jacobi, Jaclyn, Johnson, S., Noland, Shelley, Mitropanopoulos, Sotiris, Mitropanopoulos, Sotiris

Neurology | June 10, 2026 | Volume: 106 | Issue: 11_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000216942 Get It

Metabolomic Analyses in the Placebo-controlled, Randomized Double-blind, n-of-1 Trial of TJ-68 to Improve Muscle Cramps in Patients With Amyotrophic Lateral Sclerosis (P10-9.013)
Oskarsson, Björn, Cheung, Ken, Johnson, S., Lanza, Ian, PETTERSON, MAI, Jang, Grace, Andrews, Howard, 浩士, 光本, Matsumoto, Takashi , Jang, Grace E. , Andrews, Howard , Mitsumoto, Hiroshi

Neurology | June 10, 2026 | Volume: 106 | Issue: 11_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000215127 Get It

Linking T-cell receptor dynamics to outcomes in neoadjuvant-treated melanoma.
Johnson, S., Chen, Jun, Block, Matthew Stephen, Stoff, Ronen , Hieken, Tina J. , Block, Matthew S.

Journal of Clinical Oncology | May 28, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 9573-9573

10.1200/jco.2026.44.16_suppl.9573 Get It

9573 Background: Clinical Stage III (cSIII) melanoma patients are at high risk of recurrence following therapeutic lymph node dissection (TLND) and adjuvant therapy. Neoadjuvant immunotherapy based regimens have shown promising results in this setting, with pathological response being the best predictor of recurrence free survival (RFS) and distant metastases free survival (DMFS). T-cell Receptor (TCR) abundance and clonality are being explored as biomarkers. Methods: In the phase II NeoACTIVATE (NCT03554083) trial, patients were treated based on BRAF status with 12 weeks of neoadjuvant atezolizumab, vemurafenib and cobimetinib (Arm A, BRAF-mutated) or atezolizumab and cobimetinib (Arm B, BRAF wildtype), followed by TLND and 6 months adjuvant atezolizumab. TCR sequencing (n=23) was performed on the pretreatment involved lymph node (iLN) and on the same node, along with an adjacent uninvolved node (uiLN) after TLND. The fraction productive of T cells (fpTC) was defined as the percentage of in-frame TCR sequences (capable of encoding a functional expressed receptor protein) of all TCR sequences identified. Simpson Clonality Index (SCI) was used to measure relative abundance of specific clones, with a higher score indicating a more monoclonal repertoire. Comparisons were made using the Wilcoxon Rank Sum test. Results: 30 patients were enrolled, 15 in each arm. 2 patients were not operated on, and one did not receive adjuvant treatment, leaving 27 patients for outcome analysis. 3-year RFS was 55.6% (95% CI 9.5%-77.8%), median of 62.2 months (95% CI 19-NR); DMFS was 64.3% (95% CI 48%-86.3%), median 62.2 months (95% CI 33.9-NR). The fpTC was higher in the pretreatment iLN for those without an RFS event (p=0.04) with a trend in the uiLN as well (p=0.06). Patients without a DMFS event had a higher fpTC in the uiLN (p=0.03) but not in the iLN. The SCI was significantly higher only in the post treatment iLN for patients without an RFS event (p=0.03) and was not significantly different when compared based on DMFS status. When performing pairwise comparisons of nodes based on recurrence status, we found that patients who did not suffer an RFS event had a significantly higher SCI in the post treatment iLN compared to the uiLN (p=0.02). Conclusions: Neoadjuvant immunotherapy and targeted therapy for cSIII melanoma can lead to durable RFS. Higher pretreatment fpTC as well as higher post-treatment iLN TCR clonality were both associated with improved RFS. These data indicate that TCR repertoire characteristics within iLN and uiLN may reflect differential immune responses to neoadjuvant therapy and could inform future studies evaluating biomarkers to stratify risk of recurrence and allow personalization of therapy. Clinical trial information: NCT03554083 . fpTC Simpson Clonality Index RFS event DMFS event RFS event DMFS event Pretreatment iLN 0.04 0.12 0.43 0.11 Posttreatment iLN 0.09 0.09 0.03 0.12 uiLN 0.06 0.03 0.79 0.48 Δ iLN (post-pre) 0.79 0.37 0.07 0.41 Δ posttreatment iLN – uiLN 0.21 0.21 0.02 0.08
Microbiome and Vocalization Biomarkers of Infant Distress, Maternal Depression and Parenting Styles
Ligezka, Anna, Lynch, Brian , Saliba, Maria , Corral-Frias, Martha, Johnson, S., Chen, Jun, Allen, Summer V. , Frank, Jennifer M., Voort, Jennifer L. Vande, Croarkin, Paul E. , Romanowicz, Magdalena , Lynch, Brian A , Vande Voort, Jennifer L , Croarkin, Paul E , Ligezka, Anna N. , Chen, Jun, Voort, Jennifer L. Vande

Chronic Stress | March 2, 2026 | Volume: 10 | Issue: No issue available | Pages: No page available

10.1177/24705470261425120 Get It

Introduction Psychiatric disorders have their genesis in early life. Standard screening approaches during well child visits for pathological infant distress, maternal depression, and dysfunctional parenting behaviors are likely inadequate. Microbiome measures and infant vocalizations have promise as scalable psychiatric biomarkers for infants. The purpose of this study was to examine associations among infant gut colonization based on microbiome measurements with maternal distress and maternal depressive symptoms in a sample of infants. Methods This study sought to examine infant microbiome correlates of infant distress, parent-infant interactions, maternal distress, and maternal depressive symptoms. We collected ( N = 31) microbiome samples, infant vocalizations during vaccination, and behavioral measures during a 4 month well child visit (WCV) and did a battery of clinical assessments to assess for maternal depression, parent-child interactions, family characteristics and family stress. Whole-genome SHOTGUN sequencing was utilized to identify three types of associations: alpha-diversity using Shannon and Inverse-Simpson indexes, beta-diversity using Bray-Curtis and Jaccard distances, and differential abundance using LinDA. Spectral measures of infant cries were also modeled to assess potential relationships with clinical assessments and the microbiome. Results There were 19 phyla, 417 genera, and 1246 species identified with taxonomic classification. Maternal distress as measured by PHQ-9 scores obtained when infants were 2 months old were associated with 4 bacterial species ( Actinomyces johnsonii, Bilophila wadsworthia, Clostridium dakarense and Ruminococcus flavefaciens ; FDR < 0.1) and beta-diversity ( p = 0.006-BC; p = 0.005-Jaccard). Infant cries with greater high frequency band power ( p < 0.03) and a greater high-to-mid frequency ratio–metrics ( p < 0.05) were associated with altered α-diversity of the microbiome. No correlations were present between maternal PHQ-9 at 4 months, PSI-IV and microbiome diversity. Conclusion The present findings suggest that an infant stress (assessed by quality of crying) is associated with lower microbiome diversity. Decreased diversity reflects an unhealthy microbiome. Parental depressive symptoms may also influence infant microbiome. Future interventional studies focused on the quality of the infant-caregiver relationship should examine related changes in intestinal microbiota.