Triple-negative breast cancer (TNBC) due to lack of clear target and notorious "cold" tumor microenvironment (TME) is one of the most intractable and lethal malignancies. Tuning "cold" TME into "hot" becomes an emerging therapeutic strategy to TNBC. Herewith, we report that integrin-targeting micellar gemcitabine and paclitaxel (ATN-mG/P, ATN sequence: Ac-PhScNK-NH2) cooperating with polymersomal CpG (NanoCpG) effectively "heated up" and treated TNBC. ATN-mG/P exhibited greatly boosted apoptotic activity in 4T1 cells, induced potent immunogenic cell death (ICD), and efficiently stimulated maturation of bone marrow-derived dendritic cells (BMDCs). Remarkably, in a postoperative TNBC model, ATN-mG/P combining with NanoCpG promoted strong anti-cancer immune responses, showing a greatly augmented proportion of mature DCs and CD8+ T cells while reduced immune-suppressive myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Treg), which led to complete inhibition of lung metastasis and 60% mice tumor-free. The co-delivery of gemcitabine and paclitaxel at desired ratio in combination with NanoCpG provides a unique platform for potent chemoimmunotherapy of "cold" tumors like TNBC.

The optimal combination of amyloid-β/tau/neurodegeneration (A/T/N) biomarker profiles for the diagnosis of Alzheimer's disease (AD) dementia is unclear.

The Great Marquis or Bassarona dunya is a butterfly species commonly found in the tropical regions of Asia, America, and Africa. This butterfly is a member of the subfamily Limenitidinae and the classification within this subfamily has been unstable. Here, we report the first complete mitochondrial genome (mitogenome) of B. dunya sampled from Malaysia. The mitogenome is 15,242 bp long, comprising a set of 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), two ribosomal RNAs (rRNAs), and an A + T rich region. All PCGs were initiated by the typical ATN codon, except for COX1 which started with a CGA start codon. Nine PCGs were terminated with a TAA or TAG stop codon, while COX1, COX2, NAD4, and NAD5 ended with an incomplete T. The 12S and 16S rRNAs were 716 bp and 1269 bp in length, respectively. Phylogenetic analysis supported the placement of B. dunya within Limenitidinae with a high support value.

We sequenced the mitogenomes of two Erebid species, namely Ischyja manlia (Cramer, 1776) and Rusicada privata (Walker, 1865) to analyse the phylogenetic relationship and to establish the taxonomic position of incertae sedis members of the family Erebidae. The two circular genomes of I. manlia and R. privata were 15,879 bp and 15,563 bp long, respectively. The gene order was identical, containing 13 protein-coding genes (PCGs), 22 tRNA genes, two rRNA genes, and an A + T-rich region. The nucleotide compositions of the A + T-rich region of both mitogenomes were similar: 80.65% for R. privata, and 81.09% for I. manlia. The AT skew and GC skew were slightly positive in I. manlia and negative in R. privata. In I. manlia and R. privata, except for cox1 which started with CGA and TTG codons, all the other 12 PCGs started with ATN codon. The A + T-rich regions of I. manlia and R. privata were 433 and 476 bp long, respectively, and contained common characteristics of Noctuoidea moths. At present, Ischyja is treated as Erebinae incertae sedis. However, phylogenetic analysis conducted in the present study reveals that the genus Ischyja is most likely to be a member of the subfamily Erebinae.

In this study, we sequenced and analyzed the complete mitogenome of Smerinthus caecus Ménétriés, 1857. The mitogenome of S. caecus is a circular structure, and 15,363 bp long in size and encodes 13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs), and a control region (CR). An extremely high AT bias of 79.2% was found in the nucleotide composition of mitogenome. Most of the PCGs used ATN as the start codon and TAA or TAG as the stop codon, which is similar to most other insect mitogenomes, except cox1, which starts with CGA. The phylogeny of Smerinthinae was reconstructed using a maximum-likelihood method, a total of 33 mitogenomes were sampled for phylogenetic analyses. The subfamily Langiinae was selected as outgroup. The results confirmed the position of S. caecus in the Smerinthinae, in which Smerinthus caecus was placed as the sister taxon to Smerinthus planus, then to Laothoe amurensis.

The mitogenome of Dendroctonus rufipennis is a circular molecule of 16,547 bp which consists of 13 protein-coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and a control region (GenBank accession no. NC_063906). All of 13 PCGs initiate with the standard start codon of ATN. Most PCGs used the typical stop codon 'TAA' or 'TAG', only nad5 terminated with incomplete stop codon (TA). Phylogenetic analyses within the Scolytinae were performed based on nucleotide sequences of mitochondrial PCGs. The topology showed that D. rufipennis, D. valens, and Tomicus piniperda formed a clade, and also clustered together with Hylastes opacus, H. attenuatus, H. brunneus, and H. ater. This indicated that there is a close genetic relationship between these species.

Few studies have addressed the impact of the association between Alzheimer's disease (AD) biomarkers and NPSs in the conversion to dementia in patients with mild cognitive impairment (MCI), and no studies have been conducted on the interaction effect of these two risk factors. AT(N) profiles were created using AD-core biomarkers quantified in cerebrospinal fluid (CSF) (normal, brain amyloidosis, suspected non-Alzheimer pathology (SNAP) and prodromal AD). NPSs were assessed using the Neuropsychiatric Inventory Questionnaire (NPI-Q). A total of 500 individuals with MCI were followed-up yearly in a memory unit. Cox regression analysis was used to determine risk of conversion, considering additive and multiplicative interactions between AT(N) profile and NPSs on the conversion to dementia. A total of 224 participants (44.8%) converted to dementia during the 2-year follow-up study. Pathologic AT(N) groups (brain amyloidosis, prodromal AD and SNAP) and the presence of depression and apathy were associated with a higher risk of conversion to dementia. The additive combination of the AT(N) profile with depression exacerbates the risk of conversion to dementia. A synergic effect of prodromal AD profile with depressive symptoms is evidenced, identifying the most exposed individuals to conversion among MCI patients.

Global food production is facing increasing uncertainties under climate change and the coronavirus pandemic, provoking challenges and severe concerns to national food security. The role of global agricultural trade in bridging the imbalance between food supply and demand has come to the fore. However, the impact of multifaceted and dynamic factors, such as trade policies, national relations, and epidemics, on the stability of the agricultural trade network (ATN) needs to be better addressed. Quantitatively, this study estimated grouping characteristics and network stability by analyzing the changing global ATN from 1986 to 2018. We found that the evolution of global agricultural trade communities has gone through four stages: the dominance of the US-Asian community, the rise of the European-African community, the formation of tri-pillar communities, and the development of a multipolar community with a more complex structure. Despite witnessing a progressive increase in the nodal stability of the global ATN during the decades, particular gaps can still be found in stability across countries. Specifically, the European community achieved stability of 0.49 and its trade relations were effectively secured. Meanwhile, the remaining leading communities' stability shows a stable and upward trend, albeit with more significant challenges in trade relations among some of them. Therefore, how to guarantee the stability of trade relations and strengthen the global ATN to resist external shocks has become an essential question to safeguard global food security.

The complete mitochondrial genomes (mitogenomes) of beetles in the tribe Scolytoplatypodini (genus Scolytoplatypus) were sequenced and annotated. These included Scolytoplatypus raja (15,324 bp), Scolytoplatypus sinensis (15,394 bp), Scolytoplatypus skyliuae (15,167 bp), and Scolytoplatypus wugongshanensis (15,267 bp). The four mitogenomes contained 37 typical genes, including 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), and 2 ribosomal RNA genes (rRNAs). The gene orientation and arrangement of the four mitogenomes were similar to other Coleoptera mitogenomes. PCGs mostly started with ATN and terminated with TAA. The Ka/Ks ratio of 13 PCGs in the four species revealed that cox1 had the slowest evolutionary rate and atp8 and nad6 had a higher evolutionary rate. All tRNAs had typical cloverleaf secondary structures, but trnS1 lacked dihydrouridine arm. Partial tRNAs lost the discriminator nucleotide. The trnY did not possess the discriminator nucleotide and also lost three bases, showing a special amino-acyl arm. Bayesian inference (BI) and maximum likelihood (ML) methods were conducted for phylogenetic analyses using 13 PCGs. Scolytoplatypodini was clustered with Hylurgini and Hylastini, and the monophyly of Scolytoplatypodini was supported. The four newly sequenced mitogenomes increase understanding of the evolutionary relationships of Scolytoplatypodini and other Scolytinae species.

The complete mitochondrial genome (mitogenome) of the sawfly, Nesodiprion zhejiangensis Zhou & Xiao, was sequenced, assembled, and deposited in GenBank (Accession Number: OM501121). The 15,660 bp N. zhejiangensis mitogenome encodes for 2 ribosomal RNAs (rrnL and rrnS), 22 transfer RNAs (tRNAs), 13 protein-coding genes (PCGs), and an AT-rich region of 450 bp in length. The nucleotide composition is biased toward adenine and thymine (A + T = 81.8%). Each PCG is initiated by an ATN codon, except for cox2, which starts with a TTG. Of 13 PCGs, 9 have a TAA termination codon, while the remainder terminate with a TAG or a single T. All tRNAs have the classic cloverleaf structure, except for the dihydrouridine (DHU) arm of tRNAval, which forms a simple loop. There are 49 helices belonging to 6 domains in rrnL and 30 helices belonging to 4 domains in rrnS. In comparison to the ancestral architecture, N. zhejiangensis has the most rearranged mitogenome in Symphyta, in which rearrangement events of local inversion and transposition are identified in three gene clusters. Specifically, the main hotspot of gene rearrangement occurred between rrnS and trnY, and rearranged from rrnS-(AT-rich region)-I-Q-M-nd2-W-C-Y to rrnS-Q-W-C-nd2-I-M-(AT-rich region)-Y, involving a local inversion event of a large gene cluster and transposition events of some tRNAs. Transposition of trnA and trnR (rearranged from A-R to R-A) was observed at the nd3-nd5 gene junction while shuffling of trnP and trnT (rearranged from T-P to P-T) occurred at the nd4l-nd6 gene junction. While illegitimate inter-mtDNA recombination might explain the opposite orientations of transcription between rrnS and trnY, transposition events of tRNA in some gene blocks can be accounted for by the tandem duplication/random loss (TDRL) model. Our phylogenetic analysis suggests that N. zhejiangensis is closely related to congeneric species N. biremis and N. japonicus, which together form a sister lineage with the European pine sawfly, Neodiprion sertifer.

The A/T/N research framework has been proposed for the diagnosis and prognosis of Alzheimer's disease (AD). However, the spatial distribution of ATN biomarkers and their relationship with cognitive impairment and neuropsychiatric symptoms (NPS) need further clarification in patients with AD. We scanned 83 AD patients and 38 cognitively normal controls who independently completed the mini-mental state examination and Neuropsychiatric Inventory scales. Tau, Aβ, and hypometabolism spatial patterns were characterized using Statistical Parametric Mapping together with [18F]flortaucipir, [18F]florbetapir, and [18F]FDG positron emission tomography. Piecewise linear regression, two-sample t-tests, and support vector machine algorithms were used to explore the relationship between tau, Aβ, and hypometabolism and cognition, NPS, and AD diagnosis. The results showed that regions with tau deposition are region-specific and mainly occurred in inferior temporal lobes in AD, which extensively overlaps with the hypometabolic regions. While the deposition regions of Aβ were unique and the regions affected by hypometabolism were widely distributed. Unlike Aβ, tau and hypometabolism build up monotonically with increasing cognitive impairment in the late stages of AD. In addition, NPS in AD were associated with tau deposition closely, followed by hypometabolism, but not with Aβ. Finally, hypometabolism and tau had higher accuracy in differentiating the AD patients from controls (accuracy = 0.88, accuracy = 0.85) than Aβ (accuracy = 0.81), and the combined three were the highest (accuracy = 0.95). These findings suggest tau pathology is superior over Aβ and glucose metabolism to identify cognitive impairment and NPS. Its results support tau accumulation can be used as a biomarker of clinical impairment in AD.

Alzheimer's disease (AD) characterization has progressed from being indexed using clinical symptomatology followed by neuropathological examination at autopsy to in vivo signatures using cerebrospinal fluid (CSF) biomarkers and positron emission tomography. The core AD biomarkers reflect amyloid-β plaques (A), tau pathology (T) and neurodegeneration (N), following the ATN schedule, and are now being introduced into clinical routine practice. This is an important development, as disease-modifying treatments are now emerging. Further, there are now reproducible data on CSF biomarkers which reflect synaptic pathology, neuroinflammation and common co-pathologies. In addition, the development of ultrasensitive techniques has enabled the core CSF biomarkers of AD pathophysiology to be translated to blood (e.g., phosphorylated tau, amyloid-β and neurofilament light). In this chapter, we review where we stand with both core and novel CSF biomarkers, as well as the explosion of data on blood biomarkers. Also, we discuss potential applications in research aiming to better understand the disease, as well as possible use in routine clinical practice and therapeutic trials.

The family Channidae, members of which are commonly known as snakehead fish, includes 53 Channa species and three Parachanna species. In this study, we characterized mitochondrial genomes (mitogenomes) of five Channa species (C. andrao, C. bleheri, C. ornatipinnis, C. pulchra, and C. stewartii) for the first time. We compared the mitogenomes with the mitogenomes of 11 other Channidae fish. The newly sequenced mitogenomes were 16,714 - 16,895 bp in length and contained 37 typical genes [13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs) and 22 transfer RNA genes (tRNAs)]. Positive AT-skews and negative GC-skews were found in the mitogenomes of Channidae. Most PCGs started with the conventional start codon, ATN; however, the sequence of the stop codon was variable. There was no essential difference in relative synonymous codon usage (RSCU) among the Channidae mitogenomes. The fastest-evolving gene atp8 and slowest-evolving gene cox1 were identified using Ka/Ks and pairwise relative genetic distance (p-distance). The displacement loop (D-loop) regions showed great variability, which affected the size of Channa mitogenomes. One origin of replication on the light strand (OL) region was found between trnN and trnC in the mitogenomes of Channidae. Phylogenetic analysis revealed three new sister pairs (C. andrao + C. bleheri, C. ornatipinnis + C. pulchra, and C. stewartii + C. gachua). Phylogenetic relationships established between the five Channa species based on mitogenomes were also supported by their morphological characteristics and geographical distribution. The novel information we obtained about these mitogenomes will contribute to elucidating the complex relationships among Channa species.

In this study, we newly sequenced and analyzed the complete mitochondrial genomes of five genera and six species in Gargarini: Antialcidas floripennae, Centrotoscelus davidi, Kotogargara minuta, Machaerotypus stigmosus, Tricentrus fulgidus, and Tricentrus gammamaculatus. The mitochondrial genomes contain 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes, and a control region. The lengths of the mitochondrial genomes are 15,253 bp to 15,812 bp, and the AT contents of the obtained mitogenomes indicate a strong AT bias, ranging from 75.8% to 78.5%. The start codons of all PCGs show that most start with a typical ATN (ATA/T/G/C) codon and less start with T/GTG; the stop codon TAA is frequently used, and TAG and a single T are less used. In Gargarini mitogenomes, all tRNA genes can be folded into the canonical cloverleaf secondary structure, except for trnaS1, which lacks a stable dihydrouridine (DHU) stem and is replaced by a simple loop. At the same time, the phylogenetic analysis of the tribe Gargarini based on sequence data of 13 PCGs from 18 treehopper species and four outgroups revealed that the 10 Gargarini species form a steady group with strong support and form a sister group with Leptocentrini, Hypsauchenini, Centrotini, and Leptobelini. Diversification within Gargarini is distinguished by a Later Cretaceous divergence that led to the rapid diversification of the species. Moreover, the ancestral state reconstructions analysis showed the absence of the suprahumeral horn, which was confirmed as the ancestor characteristic of the treehopper, which has evolved from simple to complex. Our results shed new light specifically on the molecular and phylogenetic evolution of the pronotum in Gargarini.

In this study, we assembled and annotated the chloroplast (cp) genomes of four Ligustrum species, L. sinense, L. obtusifolium, L. vicaryi, and L. ovalifolium 'Aureum'. Including six other published Ligustrum species, we compared various characteristics such as gene structure, sequence alignment, codon preference, and nucleic acid diversity, and performed positive-selection genes screening and phylogenetic analysis. The results showed that the cp genome of Ligustrum was 162,185-166,800 bp in length, with a circular tetrad structure, including a large single-copy region (86,885-90,106 bp), a small single-copy region (11,446-11,499 bp), and a pair of IRa and IRb sequences with the same coding but in opposite directions (31,608-32,624 bp). This structure is similar to the cp genomes of most angiosperms. We found 132-137 genes in the cp genome of Ligustrum, including 89-90 protein-coding genes, 35-39 tRNAs, and 8 rRNAs. The GC content was 37.93-38.06% and varied among regions, with the IR region having the highest content. The single-nucleotide (A/T)n was dominant in simple-sequence repeats of the Ligustrum cp genome, with an obvious A/T preference. Six hotspot regions were identified from multiple sequence alignment of Ligustrum; the ycf1 gene region and the clpP1 exon region can be used as potential DNA barcodes for the identification and phylogeny of the genus Ligustrum. Branch-site model and Bayes empirical Bayes (BEB) analysis showed that four protein-coding genes (accD, clpP, ycf1, and ycf2) were positively selected, and BEB analysis showed that accD and rpl20 had positively selected sites. A phylogenetic tree of Oleaceae species was constructed based on the whole cp genomes, and the results were consistent with the traditional taxonomic results. The phylogenetic results showed that genus Ligustrum is most closely related to genus Syringa. Our study provides important genetic information to support further investigations of the phylogenetic development and adaptive evolution of Ligustrum species.

In this study, 18 mitochondrial genomes (mitogenomes) of Syrphidae were sequenced. These mitogenomes ranged from 15,648 to 16,405 bp and contained 37 genes that were similar to those from other Syrphidae species. Most protein-coding genes (PCGs) started with a standard ATN codon and ended with TAA/G. All transfer RNAs (tRNAs) could be folded into the cloverleaf secondary structure except tRNA-Ser (AGN), which lacks a dihydrouridine arm. The secondary structures of ribosomal RNAs (rRNAs) were predicted. Six domains (III is absent in arthropods) and 44 helices were included in the 16S rRNA, and three domains and 24 helices were included in the 12S rRNA. We found three conserved fragments in all syrphid mitogenomes. Phylogenetic analyses were performed based on the nucleotide data of 13 PCGs and two rRNAs from 76 Muscomorpha and three outgroup species. In results the paraphyly of Aschiza and Schizophora were supported, the Acalyptratae was also paraphyletic but the relationships of its superfamilies were difficult to determine, the monophyly of Calyptratea was supported with the relationships of Oestroidea and Muscoidea need to be further reconsidered. Within Syrphidae the monophyly of family level was supported, the Syrphinae were clustered into one branch, while the paraphyly of Eristalinae was still well supported.

In spine research, two possibilities to generate models exist: generic (population-based) models representing the average human and subject-specific representations of individuals. Despite the increasing interest in subject specificity, individualisation of spine models remains challenging. Neuro-musculoskeletal (NMS) models enable the analysis and prediction of dynamic motions by incorporating active muscles attaching to bones that are connected using articulating joints under the assumption of rigid body dynamics. In this study, we used forward-dynamic simulations to compare a generic NMS multibody model of the thoracolumbar spine including fully articulated vertebrae, detailed musculature, passive ligaments and linear intervertebral disc (IVD) models with an individualised model to assess the contribution of individual biological structures. Individualisation was achieved by integrating skeletal geometry from computed tomography and custom-selected muscle and ligament paths. Both models underwent a gravitational settling process and a forward flexion-to-extension movement. The model-specific load distribution in an equilibrated upright position and local stiffness in the L4/5 functional spinal unit (FSU) is compared. Load sharing between occurring internal forces generated by individual biological structures and their contribution to the FSU stiffness was computed. The main finding of our simulations is an apparent shift in load sharing with individualisation from an equally distributed element contribution of IVD, ligaments and muscles in the generic spine model to a predominant muscle contribution in the individualised model depending on the analysed spine level.

Blood-based biomarkers for amyloid beta and phosphorylated tau show good diagnostic accuracies and agreements with their corresponding CSF and neuroimaging biomarkers in the amyloid/tau/neurodegeneration [A/T/(N)] framework for Alzheimer's disease. However, the blood-based neurodegeneration marker neurofilament light is not specific to Alzheimer's disease while total-tau shows lack of correlation with CSF total-tau. Recent studies suggest that blood total-tau originates principally from peripheral, non-brain sources. We sought to address this challenge by generating an anti-tau antibody that selectively binds brain-derived tau and avoids the peripherally expressed 'big tau' isoform. We applied this antibody to develop an ultrasensitive blood-based assay for brain-derived tau, and validated it in five independent cohorts (n = 609) including a blood-to-autopsy cohort, CSF biomarker-classified cohorts and memory clinic cohorts. In paired samples, serum and CSF brain-derived tau were significantly correlated (rho = 0.85, P < 0.0001), while serum and CSF total-tau were not (rho = 0.23, P = 0.3364). Blood-based brain-derived tau showed equivalent diagnostic performance as CSF total-tau and CSF brain-derived tau to separate biomarker-positive Alzheimer's disease participants from biomarker-negative controls. Furthermore, plasma brain-derived tau accurately distinguished autopsy-confirmed Alzheimer's disease from other neurodegenerative diseases (area under the curve = 86.4%) while neurofilament light did not (area under the curve = 54.3%). These performances were independent of the presence of concomitant pathologies. Plasma brain-derived tau (rho = 0.52-0.67, P = 0.003), but not neurofilament light (rho = -0.14-0.17, P = 0.501), was associated with global and regional amyloid plaque and neurofibrillary tangle counts. These results were further verified in two memory clinic cohorts where serum brain-derived tau differentiated Alzheimer's disease from a range of other neurodegenerative disorders, including frontotemporal lobar degeneration and atypical parkinsonian disorders (area under the curve up to 99.6%). Notably, plasma/serum brain-derived tau correlated with neurofilament light only in Alzheimer's disease but not in the other neurodegenerative diseases. Across cohorts, plasma/serum brain-derived tau was associated with CSF and plasma AT(N) biomarkers and cognitive function. Brain-derived tau is a new blood-based biomarker that outperforms plasma total-tau and, unlike neurofilament light, shows specificity to Alzheimer's disease-type neurodegeneration. Thus, brain-derived tau demonstrates potential to complete the AT(N) scheme in blood, and will be useful to evaluate Alzheimer's disease-dependent neurodegenerative processes for clinical and research purposes.