Table 1_LncRNA NEAT1 promotes epithelial–mesenchymal transition in nasal polyp cells via the miR-199-3p/PAK4 axis.docx by Shuman Li (652613)

“…NEAT1 knockdown inhibited cell migration, enhanced epithelial barrier integrity, and reversed EMT-associated cytoskeletal remodeling. E-cadherin levels increased, while N-cadherin and vimentin decreased. …”

Table 2_LncRNA NEAT1 promotes epithelial–mesenchymal transition in nasal polyp cells via the miR-199-3p/PAK4 axis.docx by Shuman Li (652613)

“…NEAT1 knockdown inhibited cell migration, enhanced epithelial barrier integrity, and reversed EMT-associated cytoskeletal remodeling. E-cadherin levels increased, while N-cadherin and vimentin decreased. …”

Data Sheet 1_Exhaustion of NK cells and interferon activation in anti-MDA5+ dermatomyositis are associated and determine the development of ILD.docx by Chenyi Shao (6444911)

“…Flow cytometry confirmed significantly decreased NK cell counts and increased apoptosis in the ILD group. …”

The result of the Negative Binomial Regression. by Sayed Jubair Bin Hossain (22430672)

“…Moreover, conflict-induced migration substantially augmented the incidence of hunger (IRR = 1.262; 95% CI: 1.111–1.435) and going without eating for an entire day (IRR = 1.251; 95% CI: 1.032–1.516), though international migration to Yemen decreased food insecurity. Additionally, being female, having higher education, and belonging to wealthier households were protective factors against food insecurity, while urban residence significantly increased the likelihood of hunger (IRR = 2.231; 95% CI: 1.990–2.501) and meal skipping (IRR = 3.657; 95% CI: 3.086–4.335).…”

Table 5_Therapeutic potential of luteolin in central precocious puberty: insights from a danazol-induced rat model.docx by Zhijian Zha (19451405)

“…</p>Results<p>In the danazol-induced CPP model, luteolin treatment significantly decreased the abundances of Estradiol (E2), luteinizing hormone serum, and follicle-stimulating hormone in sera; reduced organ coefficients and ovarian and uterine wet weights; and delayed vaginal opening. …”

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Immune Microenvironment Profiling linked key genes to altered placental immune cell populations. qRT-PCR confirmed that GLUL and NCL expression decreased and DDX28 and RIOK1 expression increased in clinical placental samples of preeclampsia group.…”

Image 5_A metagenome-wide association study of gut microbiota in hepatitis B virus-related cirrhosis in northwest China.tif by Meirong Feng (22089665)

“…</p>Conclusion<p>HBV-LC patients in Northwest China exhibit altered clinical indicators, gut microbial composition (reduced diversity, increased opportunistic pathogens, decreased beneficial species), and metabolic function. …”

Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Table 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Table 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Table1_Overexpression of endothelial S1pr2 promotes blood–brain barrier disruption via JNK/c-Jun/MMP-9 pathway after traumatic brain injury in both in vivo and in vitro models.DOCX... by Hongbo Cheng (2848235)

“…</p>Results<p>The expression of S1pr2 significantly increased following TBI in mice. Pharmacological inhibition of S1pr2 alleviated secondary injury with reduced lesion volume, ROS generation, cerebral oedema, neurological deficits, and neuronal apoptosis; BBB disruption was also mitigated, accompanied by reduced degradation of tight junction proteins and decreased induction of matrix metalloproteinases-9 (MMP-9) post-TBI. …”

Image 8_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Table1_Sucrose synthase gene family in common bean during pod filling subjected to moisture restriction.docx by Norma Cecilia Morales-Elias (20446292)

“….), leaf photosynthesis is significantly reduced under drought conditions. Previous studies have shown that some drought-tolerant cultivars use the pod walls to compensate the decreased photosynthesis rate in leaves by acting as temporary reservoirs of carbohydrates to support seed filling. …”

Data Sheet 1_A circular tri-trophic system incorporating plants, fish, and insects turns waste into a resource: case study with the cultivation of cucumber.docx by Efi Levizou (21298322)

“…Conversely, CAP resulted in a decline in nutrient levels in irrigation water relative to HP and DCAP, which led to significantly decreased leaf concentrations of potassium and phosphorus (2.5 and 1.5 times lower than HP, respectively, by the end of the experiment). …”