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Biomedical subjects

Wei Lin

Publications and source records attributed to Wei Lin.

5 recordsLinked to original sources

A De Novo 16p13.3 Triplication Underlying Early-Onset Complex Neurodegeneration.

BACKGROUND: Neurodegenerative disorders are clinically and genetically heterogeneous, characterized by progressive neuronal loss and multidomain functional decline. Despite a presumed genetic etiology, a substantial proportion of cases remain molecularly undiagnosed. OBJECTIVE: The aim was to identify the genetic cause of an early-onset neurodegenerative disorder presenting with ataxia and cognitive impairment. METHODS: Rare copy-number variants were detected via short-read whole-genome sequencing (WGS), with candidate structural models inferred using long-read WGS. We performed transcriptomic profiling of peripheral blood leukocytes by RNA sequencing, with validation using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). RESULTS: We identified a de novo copy-number gain at 16p13.3. Combined copy-number profiling and long-read WGS suggested a candidate model comprising a triplicated segment in tandem with a proximal duplication, joined to a distal duplication via an inverted junction. Transcriptomic analysis demonstrated significant upregulation of ATP6V0C, AMDHD2, and PDPK1. CONCLUSIONS: These findings support a role for structural variation in early-onset neurodegeneration and highlight the value of combining short-read copy-number profiling with long-read WGS to detect and characterize complex genomic rearrangements. © 2026 International Parkinson and Movement Disorder Society.

16p13.3

Genome-Wide Characterization of PEBP, FD, and GRF Families in Amomum villosum Lour. and Their Potential Roles in Flowering.

A detailed understanding of the molecular mechanisms governing the flowering time of Amomum villosum Lour., a medicinal plant within the Zingiberaceae family, is currently lacking. In modern plants, the florigen activation complex (FAC), which includes PEBP, FD/bZIP, and GRF proteins, is known to regulate flowering. In this study, we identified 13 PEBP, 5 FD, and 19 GRF genes within the A. villosum genome and conducted phylogenetic, structural and promoter analysis. Notably, cross-species protein-protein interaction predictions and yeast two-hybrid assays uncovered an unexpected interaction pattern: an AREB3-like FD protein (AvFD5) and a GRF protein (AvGRF13) directly interact with specific PEBP members, whereas canonical FD-like proteins (AvFD1 and AvFD4) did not, which contrasts with the classical rice FAC model (Hd3a-14-3-3-OsFD1). These results imply that FAC assembly in A. villosum may involve alternative components or regulatory mechanisms, potentially indicating lineage-specific divergence within monocots. This research represents the first systematic characterization of FAC core gene families in A. villosum and Zingiberaceae, laying the groundwork for understanding flowering time regulation and facilitating future molecular breeding efforts in this economically significant plant.

Amomum villosum

CRISPR screening reveals NPC1L1 as a key driver of glioblastoma progression via cholesterol metabolic regulation.

Glioblastoma (GBM), the most aggressive central nervous system (CNS) malignancy, currently lacks curative therapeutic options. While immunotherapy has revolutionized treatment for many cancers, GBM remains refractory to immune-based interventions due to the absence of effective immunotherapeutic targets. Here, through CRISPR screening, we identify Niemann-Pick C1-like 1 (NPC1L1) as a previously unrecognized key driver of GBM progression. Mechanistically, NPC1L1 modulates cholesterol metabolism to concurrently enhance tumor cell stemness and suppress CD8+ T-cell activation, thus inducing tumor progression. Notably, combined treatment with ezetimibe (NPC1L1 inhibitor) and anti-PD-1 antibody elicited potent antitumor activity in GBM orthotopic mouse models. Collectively, these findings establish NPC1L1 as a critical regulator of GBM pathogenesis, underscoring the translational potential of targeting NPC1L1-mediated cholesterol metabolism for developing novel GBM immunotherapies.

Humans

Biomimetic mesoporous silica nanosphere ameliorate experimental autoimmune uveitis by delivering sCD83.

Autoimmune uveitis (AU) is an autoimmune disease that may lead to blindness, but there are currently no precise targeted therapies for its prevention and treatment. Dendritic cell (DC) is key cell involved in the pathogenesis of AU, and specific regulation of their state can help improve AU. In this work, mesoporous silica nanospheres were loaded with the immunomodulator soluble CD83 (sCD83) and subsequently camouflaged with dendritic cell (DC) membranes to fabricate the nanocarrier DCM@MSN/sCD83 for treating experimental autoimmune uveitis (EAU). Research results show that DCM@MSN/sCD83 effectively alleviated the symptoms of uveitis in EAU, reduced the proportion of CD4+CD25-T cell/CD4+CD25+T cell and the percentage of DC in the eyes and cervical lymph nodes. It also decreased the expression of STING in Müller cell. Furthermore, the efficacy of DCM@MSN/sCD83 was found to be primarily targeting DC, and promoted the expression of IL-10 and TGF-β1 in DC by activating the phosphorylated HIF/STAT3 pathway, to induce the production of CD4+CD25+ T. This effect is superior to nanomedicine loaded with dexamethasone. Moreover,DCM enabled the nanocarriers to efficiently cross the blood-eye barrier and reach cervical lymph nodes, thereby regulating peripheral immunity. This research indicate that cell membrane-modified nanoparticles targeting homologous cells can effectively improve treatment efficiency and duration, which is potential therapy strategy for uveitis.

Animals

Application of SPI-guided analgesia in laparoscopic gynecologic surgery: a randomized controlled trial evaluating the remifentanil-sparing effect and predictive value of time-weighted SPI.

This study aimed to achieve two primary objectives: (1) to evaluate the opioid-sparing effect of Surgical Pleth Index (SPI)-directed analgesia during surgery via a randomized controlled trial (RCT), and (2) to propose and preliminarily assess a novel dynamic metric, Threshold-based Time-Weighted SPI (Tb-TW-SPI), which integrates stimulus intensity and duration, for its predictive efficacy regarding postoperative moderate-to-severe pain. Employing an RCT combined with exploratory analysis, 61 patients undergoing elective laparoscopic gynecologic surgery were randomized into an SPI-directed analgesia group or a conventional analgesia group. The primary outcome was total intraoperative remifentanil consumption. Postoperatively, an exploratory analysis of the control group data evaluated the correlation between Tb-TW-SPI and Numeric Rating Scale (NRS) pain scores in the post-anesthesia care unit (PACU), calculating its predictive value for moderate-to-severe pain (NRS ≥ 4). Results: The SPI-directed group required significantly less intraoperative remifentanil than the conventional group [median (IQR): 5.84(5.02,6.62)vs. 6.96(5.81,8.19)µg/kg/h; P = 0.016]. Postoperative pain scores did not differ significantly between groups (P > 0.05). Exploratory analysis of the conventional analgesia group revealed that Tb-TW-SPI values were significantly higher in patients with moderate-to-severe postoperative pain (NRS ≥ 4) compared to those without (P = 0.0417).The area under the ROC curve for Tb-TW-SPI predicting this pain was 0.74 (95% CI: 0.52-0.96), with 67% sensitivity and 76% specificity at an optimal cutoff of 1210. This RCT suggests that SPI-directed analgesia can safely and moderately reduce intraoperative remifentanil consumption. Furthermore, the proposed Tb-TW-SPI metric, in this exploratory analysis, suggests potential for predicting postoperative pain, though this finding requires validation in larger cohorts with higher-frequency SPI sampling, offering a new direction for SPI interpretation. Large-scale, multicenter trials are warranted to validate the predictive utility of Tb-TW-SPI. Clinical Trial Registration, China Clinical Trial Registry: ChiCTR2400088444.

Humans