Effect of ultrasonic treatment during fermentation on the quality of fortified sweet wine.

The present study aimed to investigate the potential of ultrasonic treatment during fermentation for enhancing the quality of fortified wines with varying time and power settings. Chemical analysis and sensory evaluation were conducted to assess the impact of ultrasonic treatment on wine quality. Results showed that ultrasonic treatment could increase total anthocyanin and total phenol content, reduce anthocyanin degradation rate, and improve color stability. Moreover, ethyl carbamate content was lower in the ultrasonic group after aging compared to non-ultrasonic group. A combination of 200 W for 20 min resulted in higher sensory scores and more coordinated taste, while a combination of 400 W for 40 min produced higher levels of volatile compounds (21860.12 µg/L) leading to a richer and more elegant aroma. Therefore, ultrasound can be used as a potential technology to improve the quality of wine.

Effect of indoor dehydration on the chemical composition of Marselan grapes in Heyang of China.

Marselan is a red wine grape variety with great brewing prospects. The aim of this study was to investigate the effect of postharvest indoor dehydration on the quality of Marselan grapes. For two consecutive years, the harvested grapes were dehydrated naturally indoors (24-28°C). Fresh grapes were used as a control, and dehydrated samples were taken every 7 days during the period of dehydration until ending at day 28. Dehydration treatment increased degrees Brix, reducing sugars, glycerol, and malic acid. On day 7, there was an increase in protocatechuic acid, p-coumaric acid, and total tannin of 26.00%-27.73%, 11.43%-52.52%, and 39.74%-70.45%, respectively. With increasing dehydration time, total phenols, total flavonoids and total flavanols in the skins were decreased by 17.05%-38.13%, 24.32%-57.38%, and 17.05%-59.48%, respectively, with an increase in pH, citric acid, and ascorbic acid contents of grape juice by 7.66%-21.43%, 100%-137.50%, and 61.29%-258.82%, respectively. On day 21, the esters were increased by 1.10-1.75 factors. Partial least square-discriminant analysis result of volatile compounds showed that ethyl acetate, 1-propanol, 1-propanol, 2-methyl-, 1-hexanol, and 1-butanol, 3-methyl- were the predominant characteristic flavor compounds during dehydration of Marselan grapes. The effect of indoor dehydration on Marselan grape quality offered application value for China's later dehydration wine production.

Three-axis angle measurement method based on an optical wedge.

A three-axis angle measurement method is proposed using an optical wedge as a reflector. In this paper, the mathematical model of three-axis angle solving corresponding to the method is derived, and it is verified and corrected by establishing an optical simulation model, and, finally, the feasibility and measurement accuracy of the method are verified by using a principle prototype. The experimental results show that the RMS values of the measurement errors of pitch angle α, yaw angle ß, and roll angle γ are 6.27 ' ' , 4.35 ' ' , and 17.68 ' ' , respectively, within the measurement range of ±2∘, and the measurement accuracy is insensitive to the measurement distance.

Effect of exogenous organic acids on chemical compositions and sensory attributes of fortified sweet wines from dehydrated grapes.

In this study, acidity was regulated with the addition of exogenous tartaric acid and citric acid before bottling. The effect of exogenous organic acids on chemical compositions and sensory attributes of fortified sweet wines from dehydrated grapes were investigated. The results indicated that exogenous organic acids promoted the conversion of monomeric anthocyanins to copigmented anthocyanins in wines. Specifically, the combination of malvidin-3-O-glucoside and flavanols (catechin and epicatechin) was facilitated to form copigmented anthocyanins. Sensory analysis suggested that exogenous organic acids improved the balance of sugar and acidity and benefited the harmony in wines on the taste. Wines with a residual sugar and titratable acidity ratio of about 11:1 exhibited the more harmonious taste. In addition, it was also observed changes in the aroma profile related to volatile compounds, namely, more intense fruity aroma in wines with the addition of organic acids.

Spatial-temporal distribution characteristics of pollutants of heavy-duty diesel vehicles in urban road networks: a case study of Kunming City.

With the continuous promotion of urbanization in China, the economic level of small and medium-sized cities has been further improved. The transportation industry is crucial in promoting urban-rural integration and construction. Still, motor vehicle emissions also bring air pollution problems to cities, with heavy-duty diesel vehicle emissions severely impacting the urban environment. This study used a bottom-up approach to analyze the spatial emission characteristics of heavy-duty diesel vehicles under different road types in Kunming, a typical medium-sized city in China. A high-resolution emission inventory (1 km × 1 km) of heavy-duty diesel vehicles was developed using the vehicle emission inventory model (VEIN) and ArcGIS, and the vehicle emission standards were determined by the Weibull survival rate curve. The VEIN emission model was optimized using a velocity correction curve. The results showed that heavy-duty vehicles had a more significant impact on the emissions during the morning and evening peak hours, with low emission levels during the day and high emission levels at night and early morning. The total daily emissions of carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NOx), and particulate matter (PM10 and PM2.5) from heavy-duty diesel vehicles in Motorway, Trunk, Primary, Secondary, and Tertiary were 14.44 tons, 5.26 tons, 4.78 tons, 7.02 tons, and 3.83 tons, respectively. China III heavy-duty diesel vehicles mainly contributed to CO, HC, NOx, and PM emissions. This study can be used as an essential reference for controlling the exhaust emissions of HDDVs in Kunming.

InDel and CNV within the AKAP13 Gene Revealing Strong Associations with Growth Traits in Goat.

A-kinase-anchoring protein 13 (AKAP13) is a member of the AKAP protein family that has been found to be associated with bone formation. Thus, we investigated the AKAP13 gene as a potential candidate gene for molecular-marker-assisted selection (MAS) in breeding. Our aim was to explore genetic variations (InDel and CNV) within the AKAP13 gene of Shaanbei white cashmere (SBWC) goats and analyze their relationship with growth traits. Ultimately, we identified three InDel loci (16-bp deletion, 15-bp insertion, and 25-bp deletion) and three CNVs, and the 16-bp and 15-bp loci were significantly associated with goat body length (p < 0.05). Both the 16-bp deletion variant and the 15-bp insertion variant facilitated an increase in body length in goats. In addition to this, there was a certain superposition effect between 16-bp and 15-bp loci, although there was no linkage. Additionally, the CNV1 locus was significantly correlated with body height and body length of goats (p < 0.05), and CNV2 was significantly correlated with chest depth, chest circumference, and cannon circumference of goats (p < 0.05). Individuals with gain type showed excellent growth performance. In conclusion, the InDel and CNV loci that we have identified could possibly serve as effective molecular markers in goat breeding, which is very essential for improving efficiency and success of breeding. Moreover, our findings provide a new avenue for further research into the function of the AKAP13 gene.

Whole-genome resequencing reveals the genomic diversity and signatures of selection in Romanov sheep.

Romanov sheep are adapted to the extremely cold and harsh environment and display a distinctive grey color. Herein, we analyzed the population structure, genetic diversity, and selection signatures of Romanov sheep based on whole-genome sequencing data of 17 Romanov sheep, 114 individuals from other 10 European breeds. The results of PCA, ADMIXTURE, and NJ-tree showed that the Romanov sheep was closely related to other northern European breeds. A relative high level of genetic diversity, low inbreeding coefficient, and large effective population size was observed in Romanov sheep when compared with other European breeds. We then screened the genomic selection signatures of Romanov sheep using FST, XP-XLP, and XP-EHH methods. The most significant region under selection (CHR14:14.2 to 14.3 Mb) harbored a haplotype that contained MC1R gene. Furthermore, this haplotype was also found in other grey-body breeds including Gotland sheep, Grey Tronder Sheep, and German grey heath sheep, suggesting that it was associated with the unique coat color of these breeds. We also found one region (CHR10:40.8Mb- 41.0Mb) harboring PCDH9 gene which was potentially associated with cold environmental adaptation. In summary, this study identified candidate genes that were associated with the unique grey color and environmental adaptation in Romanov sheep, which provided a basis for understanding the genetic background and utilization of this breed.

Romanov sheep is one of the most famous sheep breeds in the word, characterized by adaptability to harsh environment, high fertility, and unique coat color. Understanding its genetic architecture and signatures is of great value for its conservation and utilization. In this study, we analyzed whole-genome sequences of Romanov sheep as compared with 11 other European breeds, to explore for the population structure, genetic diversity, and selection signatures. We discovered a series of candidate genes that likely play a role in the grey coat color and cold adaptation of the Romanov sheep. In particular, we identified MC1R as a strong candidate gene that determines the grey coat color.

Evaluation of therapeutic mechanism of Hedyotis diffusa Willd (HDW)‒Scutellaria barbata (SB) in clear cell renal cell carcinoma via single-cell RNA sequencing and network pharmacology.

OBJECTIVE: The present study aimed to investigate the therapeutic mechanism of Hedyotis diffusa Willd (HDW) and Scutellaria barbata (SB) in ccRCC using a combination of single-cell RNA sequencing (scRNA-seq) and network pharmacology. METHODS: The active ingredients and potential molecular targets of HDW-SB were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. Gene expression data (GSE53757) were obtained from the Gene Expression Omnibus database. The hub genes of HDW-SB against ccRCC were identified via the protein-protein interaction network, and further analyzed by molecular complex detection. The roles of these genes in the diagnosis and immune infiltration of ccRCC were analyzed. The clinical significance of hub genes was verified using scRNA-seq data (GSE121638) and molecular docking. RESULTS: Following the PPI network analysis, 29 hub genes of HDW-SB against ccRCC were identified. All hub genes, except for CENPE, had significantly different expressions in tumor tissue and a more accurate diagnosis of ccRCC. Fifteen cell clusters were defined based on the scRNA-seq dataset, and the clusters were annotated as six cell types using marker genes. TYMS and KIAA0101 from hub genes were highly expressed in NK cells. Three active compounds, quercetin, luteolin, and baicalein, were found to target TYMS and KIAA0101 from the compound-target interaction network. CONCLUSION: 29 hub genes of HDW-SB against ccRCC were identified and showed good performance in terms of diagnosis and prognosis. Moreover, among these hub genes docking with the main ingredients of HDW-SB, TYMS and KIAA0101 exerted anti-ccRCC effects through NK cells.

Lymph node metastasis-related gene signature shows good performance in predicting prognosis and immune infiltration in cervical cancer.

Aims: This study aimed to construct a lymph node metastasis-related gene signature to predict prognosis and immune infiltration in patients with cervical cancer. Methods: Clinical and RNA sequencing data of 193 patients with cervical cancer, which were divided into lymph node metastasis (N1) and non-lymph node metastasis (N0) groups, were acquired from TCGA. Differentially expressed genes (DEGs) between the N1 and N0 groups were detected, and protein-protein interaction combined with LASSO analysis was conducted to further screen lymph node metastasis-related genes. Univariate and multivariate Cox regression analyses were performed to establish a predictive signature. The genetic features, potential biological behavior, and immune infiltration characteristics of the predictive signature were explored. Furthermore, the sensitivity of patients to chemotherapy drugs was estimated based on the predictive signature and the expression of TEKT2 and RPGR was investigated in the cervical cancer tissue samples. Results: A total of 271 lymph node metastasis-related DEGs, including 100 upregulated and 171 downregulated genes, were identified. Two genes, TEKT2 and RPGR, were associated with lymph node metastasis and prognosis in cervical cancer, and were used to construct a lymph node metastasis-related predictive signature. Based on the predictive signature, patients with cervical cancer were divided into high- and low-risk groups. The high-risk group, characterized by a higher tumor mutation burden and somatic mutation rate, indicated a poor overall survival. The activation of immune infiltration and increased expression of checkpoint genes were observed in the high-risk group, indicating that they might benefit from immunotherapy. Cytarabine, FH535, and procaspase-activating compound-1 were estimated as reasonable chemotherapy options for patients in the high-risk group, whereas two taxanes and five tyrosine kinase inhibitors, including etoposide and vinorelbine, had therapeutic significance for patients in the low-risk group. The expression of TEKT2 and RPGR was significantly downregulated in cervical cancer tissues, especially in metastatic lymph node tissues. Discussion: The lymph node metastasis-related predictive signature based on TEKT2 and RPGR showed good performance in predicting the survival outcomes of patients with cervical cancer. The risk score of the predictive signature was related to genetic variation and immune infiltration, which could guide immunotherapy and chemotherapy strategies.

New insight into copy number variations of goat SMAD2 gene and their associations with litter size and semen quality.

Copy number variations (CNV) contribute significantly to genetic variations. Numerous studies have shown that CNV affects phenotypic traits in livestock. The SMAD family member 2 (SMAD2) is a leading candidate gene in reproduction and has a crucial effect on litter size. Additionally, SMAD2 is also required for male reproduction and influences male germ cell development. However, there are no reports on investigating the effect of CNVs in the SMAD2 gene on reproductive traits in goat. Therefore, the goal of this study was to explore associations between CNV of the SMAD2 gene and litter size and semen quality in Shaanbei white cashmere (SBWC) goats. In this study, two CNVs within the SMAD2 were identified in 352 SBWC goats (50 males and 302 females). The association analysis revealed that only CNV2 was significantly associated with female goat first-born litter size (P = 3.59 × 10-4), male semen concentration (P < 0.01), ejaculation volume, live sperm count, and sperm deformity rate (P < 0.05). In terms of phenotypic performance, the individuals with loss genotypes outperformed those with other genotypes. CNV1 and CNV2 genotype combinations containing their dominant genotypes were also associated with goat litter size (P = 1.7 × 10-5), but no differences in semen quality were found. In summary, CNV2 of the SMAD2 gene is useful for molecular marker-assisted selection breeding, as it is associated with essential goat reproductive traits.

A self-circulating electro-fenton-like process over Fe3O4-CaO2 cathode for highly efficient degradation of levofloxacin.

Electro-Fenton reaction was limited by the generation of H2O2 and the circulation of Fe(Ⅱ)/Fe(Ⅲ). Herein, an efficient electro-Fenton-like process was constructed based on Fe3O4-CaO2 cathode promoted by peroxymonosulfate (PMS). Levofloxacin (LEV) could be efficiently degraded (92.1%) and mineralized with the TOC removal of 74.5% in this self-circulating process. More importantly, the Fe3O4-CaO2 exhibited good stability in the recycles due that CaO2 was covered by Fe3O4, which inhibited the rapid release of H2O2. Mechanism analysis indicated that CaO2 could not only replace H2O2 to accelerate the oxidation of Fe(Ⅱ) to Fe(Ⅲ), but also could form complexes with Fe(Ⅲ) and PMS to transfer electrons from ligands to metals, thereby enhancing the reduction of Fe(Ⅲ) to Fe(Ⅱ). As a result, the electrical consumption was significantly reduced, which was only 5.0% of the Fe3O4 in electro-Fenton reaction. Meanwhile, the hydrolyzed product of Ca(OH)2 reacted with Fe(Ⅲ) in the presence of H2O2 and converted into CaO2. Thus, the self-circulation of CaO2/Ca(OH)2 and Fe(Ⅲ)/Fe(Ⅱ) was realized, which accelerated the generation of active species, such as, ·OH, O2·- and 1O2. This work first proposed a self-circulating electro-Fenton-like system and demonstrated the potential application of Fe3O4-CaO2 in the treatment of wastewater.

A deletion mutation within the goat AKAP13 gene is significantly associated with litter size.

A-kinase anchoring protein 13 (AKAP13) is one of the AKAP protein family members, which is correlated with estrogen receptors (ERs) and progesterone receptor (PR) activity. Consequently, the AKAP13 gene is considered to be one of the candidate genes for regulating female fertility. Hence, the objectives of this study were to discover the potential insertion/deletion (indel) variants within the AKAP13 gene and evaluate their associations with litter size of Shaanbei white cashmere goats (SBWC) to screen candidate genes for the molecular marker-assisted selection (MAS). Ultimately, we found the 16-bp deletion of AKAP13 gene which displayed three genotypes (II, ID and DD). However, it was not confirmed to Hardy-Weinberg equilibrium (HWE) in the tested population. Statistical analysis demonstrated that this 16-bp indel locus was significantly associated with litter size in goats (p < 0.05), in which the ID genotype was a key genotype for increasing litter size in goats. Besides, independent χ2 tests between different genotypes and litter size showed that high-prolific groups had higher frequency of the 'D' allele (p < 0.05). Briefly, AKAP13 gene is a candidate gene for improving fertility, and its 16-bp indel locus can be used as a valid DNA molecular marker for the MAS in goat breeding.

Investigation on mRNA expression and genetic variation within goat SMAD2 gene and its association with litter size.

The SMAD family member 2 (SMAD2), a member of the TGF-beta superfamily, executes a significant part in the oogenesis and ovulation process. A genome-wide selective sweep analysis also found SMAD2 was different in the fertility groups of Laoshan dairy goats; whether this gene was linked to litter size was unknown. Therefore, SMAD2 was chosen to study its effects on Shaanbei white cashmere goat reproduction and mRNA expression profile. Herein, the mRNA expression level of SMAD2 was firstly determined in female goat tissues, revealing significant differences in mRNA levels of different tissues (p < 0.05), including ovary tissue, indicating a potential role for SMAD2 in goat prolificacy. Then, using six pairs of primers, only one indel locus (P3-Del-12-bp) was found to be polymorphic in goat SMAD2 (n = 501). ANOVA also revealed that a P3-Del-12-bp deletion was significantly related to first-born litter size (p = 0.037). The Chi-square (χ2) test revealed that the ID genotype was significantly more prevalent in mothers with multiple lambs (p = 0.01), indicating that heterozygous individuals (ID) are more likely to produce multiple lambs. Our findings suggest that the SMAD2 gene's P3-Del-12-bp deletion could be used to improve goat breeds by assisting with litter size selection.

Goat CLSTN2 gene: tissue expression profile, genetic variation, and its associations with litter size.

Calsyntenin-2 (CLSTN2) is involved in cell proliferation, differentiation, cell death, tumorigenesis, and follicular expression. Although CLSTN2 has been identified as a potential candidate gene for sheep prolificacy, no studies have been done on its effect on goat prolificacy. The purpose of this study was to identify mRNA expression and genetic variation within goat CLSTN2, and its association with prolificacy. Herein, we uncovered significant differences in mRNA levels of the CLSTN2 gene in different tissues in female goats (p < 0.01), including ovary tissue. Nine putative indels were designed to investigate their correlation to litter size, but only one 16-bp deletion was discovered in female Shaanbei white cashmere goats (n = 902). We discovered that a 16-bp deletion within the CLSTN2 gene was significantly correlated with first-born litter size (p = 0.0001). As shown by the chi-squared test, the genotypic II of single-lambs and multi-lambs was dramatically higher than with genotype ID (p = 0.005). Our findings suggest that indel within the CLSTN2 gene is a candidate gene affecting prolificacy in goats and may be used for Marker Assisted Selection (MAS) in goats.

The 12-bp indel in the SMAD family member 2 gene is associated with goat growth traits.

SMAD family member 2 (SMAD2) is a member of the TGFß signaling pathway and functions as an essential regulator in the processes of development, cell proliferation, and bone formation. A previous observation reported that a 12-bp deletion of this gene affected the litter size in goats. However, according to our knowledge, no study has reported an association between this polymorphism and goat body measurement traits. The purpose of this study was to investigate the association of the insertion/deletion (indel) within the SMAD2 gene with the growth traits of goats. The indel polymorphism was found to be significantly associated with chest width and bust (p < 0.05), while cannon circumference was significantly the strongest compared to other traits (p < 0.01) and individuals with the DD genotypes were more dominant genotypes than other genotypes. In summary, we found evidence that the 12-bp indel within the SMAD2 gene could improve goat body measurement traits, paving the way for marker-assisted selection in the field of goat genetics and breeding.

Goat SMAD family member 1 (SMAD1): mRNA expression, genetic variants, and their associations with litter size.

SMAD family member 1 (SMAD1) is phosphorylated and activated by the BMP receptors, which help regulate ovulation rate, cell growth, apoptosis, and development. Previously, the genome-wide association study revealed that it has been associated with fecundity in sheep. However, its effect on litter size has not been investigated in goats. Therefore, this study aimed to determine the level of SMAD1 mRNA expression in various tissues and to identify its polymorphisms and their association with litter size in Shaanbei white cashmere goat (SBWC). As a result, RT-qPCR analysis showed that SMAD1 was expressed in various tissues in female SBWC goats, including the ovary (P < 0.05). Importantly, the mRNA expression level in the ovaries of mothers of multi-lambs had a higher level than the mothers of single lambs (P < 0.05). Moreover, two InDels (18-bp and 7-bp) in intron 1 of SMAD1 were polymorphic among ten potential loci. Both 18-bp and 7-bp InDels were significantly correlated with litter size (P = 0.014) and (P = 0.0001), respectively. As shown by the chi-squared test, genotypic distributions of 18-bp and 7-bp were significantly distinct between single-lamb (P = 0.02) and multi-lamb mothers (P = 0.002). Our findings confirm that two InDels in SMAD1 were significantly associated with litter size and suggest that they could be used to improve fertility traits in goat breeding strategies.

Synergistical thermal modulation function of 2D Ti3C2 MXene composite nanosheets via interfacial structure modification.

MXene demonstrates high in-plane thermal transport merit as an emerging two-dimensional material, but its out-of-plane thermal transport did not fully explore. Here Ti3C2 MXene nanosheets with either GO or CNF fillers were fabricated by using the vacuum-assisted filtration method. It was found that the addition of GO and CNF enlarged the interlayer spacing of the MXene layers, bringing about the opportunity for changeable spatial configuration of fillers and the thermal regulation function. If the GO nanosheets were interspersed parallel to the MXene layers, strong interference of increasing oxygen-containing functional group suppresses the out-of-plane thermal transport, resulting in the thermal conductivity decreasing from 0.5 W/(m·K) to 0.31 W/(m·K) for 20 wt% GO addition. Moreover, CNFs formed out-of-plane protruding on the surface of MXene nanosheets, resulting in the thermal conductivity increasing to 0.81 W/(m·K) for 20 wt% CNF addition. This discovery navigates how to prepare MXene composites with customized thermal properties.

Improving the Surface Oxygen Vacancy Concentration of Bi2O4 through the Pretreatment of the NaBiO3·2H2O Precursor as a High-Performance Visible Light Photocatalyst.

The oxygen-deficient bismuth oxide, Bi2O4, synthesized by a typical hydrothermal method using commercial NaBiO3·2H2O as a raw material only has a relatively low concentration of surface oxygen vacancies (OVs). How to improve the visible light photocatalytic performance of Bi2O4 via tuning its surface OV concentration is still a huge challenge. In this study, improving the surface OVs of Bi2O4 was successfully realized through the pretreatment of commercial NaBiO3·2H2O, including thermal treatment in air and hydrothermal treatment in 10 M NaOH solution, forming NaBiO3·xH2O intermediate products first, and then hydrothermal preparation of Bi2O4 target products using NaBiO3·xH2O instead of commercial NaBiO3·2H2O as the precursor. The enhanced surface OV content not only narrows the band gap of Bi2O4 and thus extends its optical response range but also captures more photoexcited electrons and thus increases the charge carriers' separation efficiency and prolongs the charge carriers' lifetime of Bi2O4. Among the above-mentioned two pretreatment methods, the effects of the hydrothermal pretreatment are superior to those of the thermal treatment, involving the increase of surface OVs, the optical harvesting capacity, and the charge carriers' separation efficiency. Accordingly, Bi2O4 prepared by the hydrothermal pretreatment route exhibits the optimal visible light catalytic performance toward the removal of methyl orange (MO) and phenol due to its most abundant surface OV concentration, which is 2.59 times and 4.26 times higher than that of Bi2O4 synthesized directly by the commercial NaBiO3·2H2O route, respectively. Holes (h+) and superoxide radicals (•O2-) are identified as the main active species, while singlet oxygen (1O2) and hydroxyl radicals (•OH) are verified as the second and third important active species for organic pollutant removal, respectively. This work has developed a novel strategy to promote the catalytic performance of single Bi2O4 induced by the enhanced surface OV concentration through the pretreatment of the precursor, commercial NaBiO3·2H2O.

The significance of m6A RNA methylation modification in prognosis and tumor microenvironment immune infiltration of cervical cancer.

Recent studies have highlighted that N6-methyladenosine (m6A) plays a significant role in tumorigenicity and progression. However, the mechanism of m6A modifications in the tumor microenvironment (TME) immune cell infiltration in cervical cancer (CC) remains unclear. Clinical and RNA sequencing data of 25 m6A RNA methylation regulators were acquired from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. LASSO Cox regression analysis was used to generate a prognostic risk signature. m6A modification patterns were identified based on the expression of 25 m6A regulators, and their correlation with TME immune cell-infiltrating characterization was analyzed. Principal component analysis was used to construct an m6A-scoring signature (m6A score) to evaluate the m6A modification patterns of individual CC samples and guide the selection of more effective immunotherapeutic strategies. Genetic and expression alterations of 25 m6A regulators were highly heterogeneous between CC and normal tissues. METTL14 and IGF2BP1 were selected to conduct the prognostic risk signature. Three m6A modification patterns were identified in 659 CC samples, which were associated with distinct clinical outcomes and biological pathways. The TME immune cell-infiltrating characterization of the three m6A modification patterns was highly consistent with 3 tumor immune phenotypes, including immune-excluded, immune-inflamed, and immune-desert phenotypes. Due to the heterogeneity of m6A modification patterns, an m6A scoring signature was established to evaluate the m6A modification patterns of individual CC samples. Univariate and multivariate Cox regression analyses revealed that the m6A score is a robust and independent prognostic biomarker for assessing the prognosis of CC patients. A low m6A score, characterized by higher somatic mutation and higher expression of proliferation-related and DNA repair-related genes, indicated poor overall survival. Activation of immune infiltration was exhibited by the high m6A score, which was likely to have a good response and clinical benefits to antiPD-1/L1 immunotherapy. This study highlights the prognostic value of 25 m6A regulators in CC. The m6A modification is related to immune regulation and the formation of TME heterogeneity and complexity. An m6A scoring signature to clarify the individual m6A modification pattern could enhance our understanding of TME immune cell-infiltrating characterization and guide immunotherapy strategies.