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Goodman, W.

Publications and source records attributed to Goodman, W..

2 recordsLinked to original sources

Sex-specific T cell exhaustion drives differential immune responses in glioblastoma

Sex differences in glioblastoma (GBM) incidence and outcome are well recognized, and emerging evidence suggests that these extend to genetic/epigenetic and cellular differences, including immune responses. However, the mechanisms driving immunological sex differences are not fully understood. Using GBM models, we demonstrate that T cells play a critical role in driving GBM sex differences. Male mice exhibited accelerated tumor growth, with decreased T cell infiltration and increased T cell exhaustion. Furthermore, a higher frequency of progenitor exhausted T cells was found in males, with improved responsiveness to anti-PD1 treatment. Bone marrow chimera and adoptive transfer models indicated that T cell-mediated tumor control was predominantly regulated in a cell-intrinsic manner, which was further corroborated by in vitro exhaustion assays. Moreover, increased T cell exhaustion was observed in male GBM patients. These findings demonstrate sex-specific pre-determined behavior of T cells is critical in inducing sex differences in GBM progression and immunotherapy response. Statement of significanceImmunotherapies in GBM patients have been unsuccessful due to a variety of factors including the highly immunosuppressive tumor microenvironment in GBM. This study demonstrates that sex-specific T cell behaviors are predominantly intrinsically regulated, further suggesting sex-specific approaches can be leveraged to potentially improve therapeutic efficacy of immunotherapy in GBM.

immunology↗

PELP: accounting for missing data in neural time series by Periodic Estimation of Lost Packets

ObjectiveImplanted electrical stimulators with sensing capabilities have enabled the development of closed-loop neuromodulation therapies capable of responding to patient needs in real-time. Through a combination of rechargeable technologies and wireless data transmission, it is now possible for researchers to acquire extensive neural recordings from human participants in naturalistic settings using these bidirectional devices. However, data losses during wireless transmission hamper processing and the identification of neural signals of interest, driving the need for methodologies to properly estimate the impact of data loss. ApproachTo accurately reconstruct the timing of data containing losses, we have developed a method called Periodic Estimation of Lost Packets (PELP) to precisely determine the number of samples lost from implanted recordings during active stimulation. PELP leverages a data-driven procedure for determining the period of stimulation and the knowledge that stimulation continues identically during periods where data are missing to accurately account for the number of samples lost. Main resultsUsing simulated stimulation added to collected human EEG data, we show that PELP is robust to a range of stimulation waveforms and noise characteristics. Lastly, we successfully applied PELP to local field potential (LFP) recordings from an implanted, bidirectional device using data recorded in the clinic and the patients own home. SignificanceBy effectively accounting for the timing of missing data, PELP enables the analysis of complex, naturalistic neural time series data from bidirectional implanted devices aiding in the development of novel therapeutic approaches. NCT04806516 (ClinicalTrials.gov).

neuroscience↗